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aainstitutetext: Faculty for Physik, Ludwig-Maximilians-Universität München Schellingstraße 4, 80799, Munich, Germanybbinstitutetext: Institute for Theoretical Physics and Astrophysics and Würzburg-Dresden Cluster of Excel-lence ct.qmat, Julius-Maximilians-Universität Würzburg, 97074 Würzburg, Germany

Operator size growth in Lindbladian SYK

Jiasheng Liu jiasheng.liu@physik.uni-muenchen.de b    René Meyer rene.meyer@physik.uni-wuerzburg.de b,*    and Zhuo-Yu Xian***Corresponding author. zhuo-yu.xian@physik.uni-wuerzburg.de
Abstract

We investigate the growth of operator size in the Lindbladian Sachdev-Ye-Kitaev model with qq-body interaction terms and linear jump terms at finite dissipation strength. We compute the operator size as well as its distribution numerically at finite qq and analytically at large qq. With dissipative (productive) jump terms, the size converges to a value smaller (larger) than half the number of Majorana fermions. At weak dissipation, the evolution of operator size displays a quadratic-exponential-plateau behavior. The plateau value is determined by the ratios between the coupling of the interaction and the linear jump term in the large qq limit. The operator size distribution remains localized in the finite size region even at late times, contrasting with the unitary case. Moreover, we also derived the time-independent orthogonal basis for operator expansion which exhibits the operator size concentration at finite dissipation. Finally, we observe that the uncertainty relation for operator size growth is saturated at large qq, leading to classical dynamics of the operator size growth with dissipation.

1 Introduction

The scrambling of quantum information describes how a local operator spreads out and eventually affects the degree of freedom of many-body system under evolution Lieb2004 ; Hayden:2007cs ; Sekino:2008scramblers , as measured by the out-of-time-ordering correlator (OTOC) larkin:1969quasiclassical ; Shenker:2013yza ; Roberts:2014localized ; PRXQuantum.5.010201 ; Roberts:2016wdl ; Shenker:2013black ; Hosur:2015channels ; Roberts:2014ifa ; Stanford:2015owe . Scrambling can be easily understood as the growth of the size of operators Roberts:2018operator ; Qi:2018quantum , as a result of the cumulative commutation between the operator and the Hamiltonian during time evolution. Operator size is determined by the distribution of the Heisenberg operator on a local operator basis and is linearly related to the OTOC between initially local operators Roberts:2014localized ; Qi:2018quantum ; Qi:2019rpi . Recently, Krylov complexity has also been employed to describe operator growth Parker:2018a ; Barbon:2019on ; Avdoshkin:2019trj ; Jian:2020qpp ; Rabinovici:2020operator ; Avdoshkin:2019trj ; Dymarsky:2019quantum ; Carrega:2020unveiling ; Kar:2021nbm ; Caputa:2021sib ; Dymarsky:2021bjq ; Rabinovici:2021qqt ; Muck:2022xfc ; Rabinovici:2022beu ; Bhattacharjee:2022vlt ; Bhattacharjee:2022ave ; Avdoshkin:2022xuw ; Alishahiha:2022anw ; Huh:2023jxt ; Tang:2023ocr ; Aguilar-Gutierrez:2023nyk ; Kundu:2023hbk ; Beetar:2023mfn ; Bhattacharyya:2023dhp ; Loc:2024oen ; Malvimat:2024vhr ; Bhattacharya:2024uxx 111 The Krylov complexity on the state version characterizes the spreading of the wave function in the Hilbert space Balasubramanian:2022tpr ; Balasubramanian:2022dnj ; Erdmenger:2023wjg ; Balasubramanian:2023kwd ; Camargo:2023eev ; Bhattacharyya:2023grv ; Caputa:2024vrn . , although the Krylov basis for operator expansion typically is not a set of local operators.

Scrambling is enhanced by strong coupling and exhibits universal behavior in chaotic systems, such as the Sachdev-Ye-Kitaev (SYK) model Kitaev:2015a ; Maldacena:2016remarks ; Roberts:2018operator ; Qi:2018quantum ; Lin:2023trc , random matrix theory Roberts:2016design ; Cotler:2017jue , random circuits Hosur:2015channels ; Nahum:2017operator ; vonKeyserlingk:2017operator ; Xu:2018locality , and black holes Shenker:2013black ; Roberts:2014localized ; Maldacena:2016conformal ; Lensky:2020size ; Mousatov:2019operator ; Lin:2019symmetries . In particular, in these models, the operator size was found to exhibit exponential growth, whose exponent saturates the chaos bound Maldacena:2015waa . In the SYK model, the scrambling time for the size of local operators scales as lnN\ln N, with NN being the number of fermions Sekino:2008scramblers . Scrambling is suppressed by localization Fan:2016ean and dissipation Chen:2017dbb ; Zhang:2018oop .

Scrambling can be measured via forward and backward evolution Li:2016xhw ; Garttner:2016mqj ; Sanchez:2020LoschmidtEcho ; Sanchez:2022LoschmidtEchoNER ; Dominguez:2021decoherence ; Dominguez:2021keq ; Mi:2021gdf ; Cotler:2022fin ; Swingle:2016var , entangled double-copy systems Islam:2015mom ; Landsman:2018jpm ; Blok:2020may , or randomized measurements Brydges:2019probing ; Joshi:2020PRL ; Blocher:2023hvk . For a realistic experimental setup, the dynamics of an open system is inevitably affected by the environment and becomes fundamentally non-unitary. When the system is weakly coupled to a Markovian reservoir, its dynamics is described by the Lindbladian master equation breuer2002theory ; lidar2019lecture ; manzano2020short , which is equivalent to the dynamics on the double-copy Hilbert space governed by a non-Hermitian Hamiltonian Denisov:2018nif . For Markov processes, such as the Lindbladian spin chain Schuster:2022bot or the Lindbladian SYK model Kulkarni:2021gtt ; Kawabata:2022osw ; Garcia-Garcia:2022adg ; Sa:2021tdr ; Bhattacharjee:2023uwx at weak dissipation, the size for local operators exhibits growth-plateau behavior, which is determined by the competition between the unitary interaction and non-unitary dissipation. Similar plateau behaviors were observed in Krylov complexity Liu:2022god ; Bhattacharjee:2022lzy ; Bhattacharya:2022gbz ; Bhattacharjee:2023uwx ; Bhattacharya:2023zqt ; Bhattacharya:2023yec . For a non-Markov process, such as the Brownian SYK coupled to a bath Zhang:2023BrownianSize , the size can decay to zero for strong system-bath couplings.

In this work, our aim is to comprehensively understand the growth of operator size in the Lindbladian SYK, particularly through analytical methods based on the path integral and the large qq limit. By employing these analytical solutions, we explicitly compute quantities such as the Loschmidt echo fidelity, operator size, size distribution, and size variances, and determine their time scales across all parameter regions. Additionally, We also prove the operator size concentration of Krylov basis from the path integral perspective. Finally, we elucidate on the emergence of classical dynamical equations governing operator size growth Qi:2018quantum , which are frequently utilized in estimating operator size growth in open systems Schuster:2022bot .

In this paper, we numerically and analytically calculate the operator sizes and size distributions of Heisenberg operators in a Lindbladian SYK model with linear jump operators. In Sec. 2, we define operator size, express its generating function as a path integral, and study the symmetries of the two-point function. In Sec. 3, we adopt exact diagonalization (ED) at finite NN and qq, and numerically solve Schwinger-Dyson (SD) equations at infinite NN and finite qq. In Sec. 4, we analytically solve the Liouville equations at large qq and obtain complete information about the operator size growth in this limit. In Sec. 5, we derive a classical equation for operator size growth by noticing the saturation of a relative uncertainty relation. In Sec. 6, we conclude and give an outlook on future directions.

2 Lindbladian SYK

In this section, we first discuss the Linbladian SYK model and apply it to the Heisenberg evolution of operators. We further map the Linbladian superoperator onto a Liouvillian operator on the double copy Hilbert space, and define the operator size and its generating function. Later, we write the corresponding partition function in path integral along the contour in the double copy Hilbert space. Following known methods for the SYK model, we obtain the effective action and the Schwinger-Dyson equation. In the last part, we find the symmetries of the two-point functions based on the symmetries of the model.

2.1 Lindbladian

The Lindblad master equation, or Lindbladian, for a density matrix in the Schrödinger picture is

tρ=S[ρ]=i[H,ρ]+νj[LjρLj12{LjLj,ρ}],\partial_{t}\rho=\mathcal{L}_{S}[\rho]=-i[H,\rho]+\nu\sum_{j}\left[L_{j}\rho L_{j}^{\dagger}-\frac{1}{2}\left\{L_{j}^{\dagger}L_{j},\rho\right\}\right], (1)

which is interpreted as a super-operator S\mathcal{L}_{S}. The Lindbladian with ν0\nu\geq 0 can effectively describe the microscopic model for a system coupled to an environment (bath) in certain limits. On one hand, the Lindbladian can be derived in the weak coupling limit, where the system-bath coupling is weak compared to the characteristic energy scales of both the system and the bath. More precisely, the weak coupling limit encompasses the Born approximation, the Markov approximation, and the rotating wave approximation. On the other hand, the Lindbladian can also be derived in the singular coupling limit, where the bath Hamiltonian dominates over the system Hamiltonian and the system-bath interaction breuer2002theory ; lidar2019lecture ; manzano2020short . Therefore, we will not assume any hierarchy between the strengths of the two terms in the Lindbladian (1).

One can also write down the Lindbladian for an operator in the Heisenberg picture

tO=H[O]=U[O]+D[O]=i[H,O]+νj[(1)ηLjOLj12{LjLj,O}],\partial_{t}O=\mathcal{L}_{H}[O]=\mathcal{L}_{U}[O]+\mathcal{L}_{D}[O]=i[H,O]+\nu\sum_{j}\left[(-1)^{\eta}L_{j}^{\dagger}OL_{j}-\frac{1}{2}\left\{L_{j}^{\dagger}L_{j},O\right\}\right], (2)

where η=0\eta=0 when any one of OO and LjL_{j} is bosonic and η=1\eta=1 when both are fermionic Liu:2022god . In Liu:2022god , the Lindbladian for an operator is derived by tracing out the Markovian bath and imposing the white noise approximation on the bath correlation in an integral equation of the unitary Heisenberg equation of the operator.

The Lindbladian itself is a consistent theory for any real value of ν\nu, including ν<0\nu<0, mathematically. We will provide an interpretation of the case where ν<0\nu<0 later in our Lindbladian SYK model. In this paper, we will use the Lindbladian in (2) as our starting point and will not consider its microscopic origin in the system-plus-bath composite system.

Both Lindbladians preserve the trace and the maximally mixed state, which is proportional to the identity, namely S[𝕀]=H[𝕀]=0\mathcal{L}_{S}[\mathbb{I}]=\mathcal{L}_{H}[\mathbb{I}]=0. When the Lindblad operators are Hermitian, Lj=LjL_{j}^{\dagger}=L_{j}, the two equations (1) and (2) are identical by mapping HHH\to-H. It is exactly this case we consider in this paper, and we will adopt the Lindbladian in the Heisenberg picture (2) throughout out this paper. The first term U[O]=i[H,O]\mathcal{L}_{U}[O]=i[H,O] describes the unitary evolution and the second term D[O]\mathcal{L}_{D}[O] introduces the effect of physical non-unitary. The coefficient ν\nu could be interpreted as the error rate of quantum gates in quantum circuits Schuster:2022bot .

In this paper, we consider an even number NN Majorana fermions {ψj|j=1,2,N}\left\{\psi_{j}\,|\,j=1,2,\cdots N\right\}, with anti-commutation relation {ψj,ψk}=2δjk\{\psi_{j},\psi_{k}\}=2\delta_{jk}. The Hamiltonian HH is taken to be the Sachdev-Ye-Kitaev (SYK) model Kitaev:2015a ; Maldacena:2016remarks

H=iq/21j1<<jqNJj1jqψj1ψjq,Jj1jq2=J2(N1q1)=𝒥22q(N1q1),H=i^{q/2}\sum_{1\leq j_{1}<\cdots<j_{q}\leq N}J_{j_{1}\cdots j_{q}}\psi_{j_{1}}\cdots\psi_{j_{q}},\quad\left\langle J_{j_{1}\cdots j_{q}}^{2}\right\rangle=\frac{J^{2}}{\binom{N-1}{q-1}}=\frac{\mathcal{J}^{2}}{2q\binom{N-1}{q-1}}, (3)

with even number q2q\geq 2 and J0J\geq 0. The Lindblad operators LjL_{j} are taken as the linear jump operators Kulkarni:2021gtt

Lj=ψj/2,j=1,2,,N.L_{j}=\psi_{j}/\sqrt{2},\quad j=1,2,\cdots,N. (4)

The dimension of Hilbert space is D=2N/2D=2^{N/2}. To derive the Lindbladian with linear jump operators, one could couple the SYK system with a Markovia bath, where the bath correlation follows white noise approximation χj(t)χk=δ(t)δjk\left\langle\chi_{j}(t)\chi_{k}\right\rangle=\delta(t)\delta_{jk}, the hopping term is HI=ij=1NνψjχjH_{I}=i\sum_{j=1}^{N}\sqrt{\nu}\psi_{j}\chi_{j} and χj\chi_{j} is the Majorana fermion of the bath Liu:2022god . Last but not least, the Lindbladian SYK model we consider in this paper is theoretically well-defined completely positive trace preserving map for all the parameters 𝒥>0,ν\mathcal{J}>0,\,\nu\in\mathbb{R}, although is still debatable whether one can find the original from a microscopic dynamics.

Following Qi:2018quantum ; Kulkarni:2021gtt , we will use the Choi-Jamiolkowski isomorphism with the double-copy Hilbert space LR=LR\mathcal{H}_{LR}=\mathcal{H}_{L}\otimes\mathcal{H}_{R} and 2N2N Majorana fermions satisfying {ψja,ψkb}=2δjkδab\left\{\psi_{j}^{a},\psi_{k}^{b}\right\}=2\delta_{jk}\delta_{ab} with a,b=L,Ra,b=L,R. Following (3), we use ψjL\psi_{j}^{L} to construct HLH^{L} and use ψjR\psi_{j}^{R} to construct HRH^{R}. Given a bosonic (fermionic) operator OO acting on \mathcal{H}, we can construct two bosinic (fermionic) operators OL=O𝕀,OR=𝕀OO^{L}=O\otimes\mathbb{I},\,O^{R}=\mathbb{I}\otimes O (OL=O𝕀,OR=SOO^{L}=O\otimes\mathbb{I},\,O^{R}=S\otimes O) acting on LR\mathcal{H}_{L}\otimes\mathcal{H}_{R} where Hermitian operator S=iN(N1)/2ψ1ψ2ψNS=i^{N(N-1)/2}\psi_{1}\psi_{2}\cdots\psi_{N}. One can check that [O,S]=0\left[O,S\right]=0 ({O,S}=0\left\{O,S\right\}=0) for any bosonic (fermionic) linear operator OO.

We define a maximally entangled state |0\left|0\right\rangle in R\mathcal{H}\otimes\mathcal{H}_{R} as

(ψjL+iψjR)|0=0,j,0|0=1.\left(\psi_{j}^{L}+i\psi_{j}^{R}\right)\left|0\right\rangle=0,\ \forall j,\quad\left\langle 0|0\right\rangle=1. (5)

One can check that HL|0=iqHR|0H^{L}\left|0\right\rangle=i^{q}H^{R}\left|0\right\rangle. The maximally entangled state |0\left|0\right\rangle induces a map from a linear operator acting on the single Hilbert space \mathcal{H} to a state in the double-copy Hilbert space LR\mathcal{H}_{LR} via

OOL|0=|O.O\mapsto O^{L}\left|0\right\rangle=\left|O\right\rangle. (6)

Then the identity 𝕀\mathbb{I} acting on \mathcal{H} is mapped to |0\left|0\right\rangle. The operator trace in \mathcal{H} is mapped to the inner product in LR\mathcal{H}_{LR} via Tr[O1O2]=DO1|O2\mathrm{Tr}[O_{1}^{\dagger}O_{2}]=D\left\langle O_{1}|O_{2}\right\rangle.

The Lindbladian H\mathcal{L}_{H} is mapped to a non-Hermitian Liouvillian

=i(HLiqHR)νn=i𝒫+𝒳\mathcal{L}=i\left(H^{L}-i^{q}H^{R}\right)-\nu n=i\mathcal{P}+\mathcal{X} (7)

acting on LR\mathcal{H}_{LR} via H[O]H[O]𝕀|0=|O\mathcal{L}_{H}[O]\mapsto\mathcal{L}_{H}[O]\otimes\mathbb{I}\left|0\right\rangle=\mathcal{L}\left|O\right\rangle, where

n=12j=1N(1+iψjLψjR)n=\frac{1}{2}\sum_{j=1}^{N}\left(1+i\psi_{j}^{L}\psi_{j}^{R}\right) (8)

is called the size operator, whose meaning will be explained in the next subsection. The factor (1)η(-1)^{\eta} in (2) is canceled out in (7) when OLO^{L} and ψjR\psi_{j}^{R} are exchanged. At the last step of (7), we decompose the Liouvillian into anti-Hermitian part i𝒫=i(HLiqHR)=iPi\mathcal{P}=i\left(H^{L}-i^{q}H^{R}\right)=iP^{\dagger} and Hermitian part 𝒳=νn=𝒳\mathcal{X}=-\nu n=\mathcal{X}^{\dagger}. Thus, =i(HLiqHR)νn=i𝒫+𝒳.\mathcal{L}^{\dagger}=-i\left(H^{L}-i^{q}H^{R}\right)-\nu n=-i\mathcal{P}+\mathcal{X}. One can check that 𝒫|0=𝒳|0=|0=|0=0\mathcal{P}\left|0\right\rangle=\mathcal{X}\left|0\right\rangle=\mathcal{L}\left|0\right\rangle=\mathcal{L}^{\dagger}\left|0\right\rangle=0. The Liouvillian \mathcal{L} is reminiscent of the Hamiltonian for eternal traversable wormhole Gao:2016bin ; Maldacena:2018lmt ; Milekhin:2022bzx with the same second term, but here the Hamiltonians on each side have the opposite signs.

2.2 Operator size

To study the information scrambling in the Lindbladian SYK model, we introduce the operator size following Qi:2018quantum . First, we define a local, complete, operator basis acting on \mathcal{H}, consisting of Majorana strings, namely

{ΓI=Γj1j2jk=ik(k1)/2ψj1ψj2ψjk,| 1j1<j2<<jkN}\left\{\Gamma_{I}=\Gamma_{j_{1}j_{2}\cdots j_{k}}=i^{k(k-1)/2}\psi_{j_{1}}\psi_{j_{2}}\cdots\psi_{j_{k}},\ |\ 1\leq j_{1}<j_{2}<\cdots<j_{k}\leq N\right\} (9)

with notation |I|=k\left|I\right|=k, where the factor ik(k1)/2i^{k(k-1)/2} is introduced to make ΓI\Gamma_{I} Hermitian. The basis is orthogonal and normalized under the inner product 1DTr[ΓIΓJ]=ΓI|ΓJ=δIJ\frac{1}{D}\mathrm{Tr}[\Gamma_{I}\Gamma_{J}]=\left\langle\Gamma_{I}|\Gamma_{J}\right\rangle=\delta_{IJ}. The basis is complete since the number of elements 2N2^{N} is equal to the square of the dimension of Hilbert space D2D^{2}, even in the NN\rightarrow\infty limit. Second, we define the size superoperator n[]n[\cdots] so that it is diagonal on the Majorana strings basis with the eigenvalues measuring the numbers of Majorana fermions

n[ΓI]=|I|,n[\Gamma_{I}]=\left|I\right|, (10)

which defines the size of all the linear operators acting on \mathcal{H}. Obviously, the identity 𝕀\mathbb{I} has smallest size 0 and Γ12N=S\Gamma_{12\cdots N}=S has largest size NN.

Based on the mapping (6) to the double-copy Hilbert space HLRH_{LR}, the assignment (10) simply corresponds to the size operator defined in (8), as one can check from the eigensystem n|ΓI=|I||ΓIn\left|\Gamma_{I}\right\rangle=\left|I\right|\left|\Gamma_{I}\right\rangle and diagonalization n=I|ΓI|I|ΓI|n=\sum_{I}\left|\Gamma_{I}\right\rangle|I|\left\langle\Gamma_{I}\right|. Obviously, n|0=0,n|Γ1N=N|Γ1Nn\left|0\right\rangle=0,\,n\left|\Gamma_{1\cdots N}\right\rangle=N\left|\Gamma_{1\cdots N}\right\rangle and we denote |N|Γ1N\left|N\right\rangle\equiv\left|\Gamma_{1\cdots N}\right\rangle. We define the size subspace and its projection operator

n=span{|ΓI||I|=n,I},πn=|I|=n|ΓIΓI|,n=0,1,,N.\mathcal{H}_{n}=\text{span}\left\{\left|\Gamma_{I}\right\rangle|\left|I\right|=n,\forall I\right\},\quad\pi_{n}=\sum_{\left|I\right|=n}\left|\Gamma_{I}\right\rangle\left\langle\Gamma_{I}\right|,\quad n=0,1,\cdots,N. (11)

The dimension of n\mathcal{H}_{n} is (Nn)\binom{N}{n}. The size operator can be expanded as n=nnπnn=\sum_{n}n\pi_{n}. The Lindblad term νn-\nu n in (7) with ν>0\nu>0 (ν<0\nu<0) suppresses (enhances) eigenstates with large sizes. So, we refer to the effect induced by the Lindblad term with ν>0\nu>0 as dissipation, and that with ν<0\nu<0 as production. One can measure the size of any operator OO acting on \mathcal{H} by the size operator

n[O]=O|n|OO|O=μln𝒢μ[O]|μ=0n[O]=\frac{\left\langle O\right|n\left|O\right\rangle}{\left\langle O|O\right\rangle}=-\partial_{\mu}\ln\mathcal{G}_{\mu}[O]|_{\mu=0} (12)

with nn the size operator in (8) and

𝒢μ[O]=O|eμn|O\mathcal{G}_{\mu}[O]=\left\langle O\right|e^{-\mu n}\left|O\right\rangle (13)

the generating function of the operator size Qi:2018quantum . The generating function also gives the size distribution via

𝒢μ[O]=O|On=0NeμnPn[O],Pn[O]=O|πn|OO|O,\mathcal{G}_{\mu}[O]=\left\langle O|O\right\rangle\sum_{n=0}^{N}e^{-\mu n}P_{n}[O],\quad P_{n}[O]=\frac{\left\langle O\right|\pi_{n}\left|O\right\rangle}{\left\langle O|O\right\rangle}, (14)

where the distribution Pn[O]P_{n}[O] is normalized as nPn[O]=1\sum_{n}P_{n}[O]=1.

For the sake of analytic solvability, in the main text of this paper, we focus on the case of O=ψ1(t)O=\psi_{1}(t) in the Heisenberg picture and calculate the size n[ψ1(t)]n[\psi_{1}(t)] and the generating function

𝒢μ(t)𝒢μ[ψ1(t)]=ψ1(t)|eμn|ψ1(t).\mathcal{G}_{\mu}(t)\equiv\mathcal{G}_{\mu}[\psi_{1}(t)]=\left\langle\psi_{1}(t)\right|e^{-\mu n}\left|\psi_{1}(t)\right\rangle. (15)

Obviously, Pn[ψ1(t)]=0P_{n}[\psi_{1}(t)]=0 for all even nn. So 1n[ψ1(t)]N11\leq n[\psi_{1}(t)]\leq N-1, in contrast to the case of a non-Markovian reservoir Zhang:2023BrownianSize . In the App. B, we consider two initial operators eβH/2e^{-\beta H/2} and ψ1eβH/2\psi_{1}e^{-\beta H/2} and numerically study their sizes under the Lindbladian evolution. For later convenience, we further introduce the double-time generating function

𝒢μ(t1,t2)ψ1(t1)|eμn|ψ1(t2).\mathcal{G}_{\mu}(t_{1},t_{2})\equiv\left\langle\psi_{1}(t_{1})\right|e^{-\mu n}\left|\psi_{1}(t_{2})\right\rangle. (16)

It is the transition amplitude between the states at two different times t1t_{1} and t2t_{2} under the influence of the insertion eμne^{-\mu n}. Obviously, 𝒢μ(t)=𝒢μ(t,t)\mathcal{G}_{\mu}(t)=\mathcal{G}_{\mu}(t,t).

The operator size n[ψ1(t)]n[\psi_{1}(t)] for small enough ν>0\nu>0 was studied in Schuster:2022bot semi-classically, and also calculated in the same limit in Bhattacharjee:2023uwx from the Krylov complexity perspective. Here, we are able to solve this problem for any value of ν\nu numerically at finite qq and analytically at large qq, so that we can investigate the operator size and distribution dynamics in the Lindbladian SYK model at finite dissipation or production and observe fast saturation of the size and the distribution.

2.3 Path integral

Refer to caption
Figure 1: (a) The Keldysh contour used in App. A and (b) the double-copy contour used in Subsec. 2.3.

We will utilize the path integral to calculate the generating function of size (15). Let us consider the partition function

Zμ(t1,t2)=0|et1eμnet2|0=ja=L,R𝒟ψjaeS.Z_{\mu}(t_{1},t_{2})=\left\langle 0\right|e^{t_{1}\mathcal{L}^{\dagger}}e^{-\mu n}e^{t_{2}\mathcal{L}}\left|0\right\rangle=\int\prod_{j}\prod_{a=L,R}{\mathcal{D}}\psi_{j}^{a}e^{-S}. (17)

Since |0=n|0=0\mathcal{L}\left|0\right\rangle=n\left|0\right\rangle=0, we know that Zμ(t1,t2)=1Z_{\mu}(t_{1},t_{2})=1 for any t1,t2,μt_{1},t_{2},\mu. So we are free to choose any t1t_{1} and t2t_{2} in (17). Furthermore, the two-point function should be independent of the choice of t1,t2t_{1},t_{2} since 0|et1ψja=0|ψja\left\langle 0\right|e^{t_{1}\mathcal{L}^{\dagger}}\psi_{j}^{a}=\left\langle 0\right|\psi_{j}^{a} and ψjaet2|0=ψja|0\psi_{j}^{a}e^{t_{2}\mathcal{L}}\left|0\right\rangle=\psi_{j}^{a}\left|0\right\rangle. On the r.h.s. of (17), we write the partition function as the path integral of two real Grassmann fields ψjL(τ),ψjR(τ)\psi_{j}^{L}(\tau),\psi_{j}^{R}(\tau) along the double-copy contour in Fig. 1 with t1,t20t_{1},t_{2}\geq 0 Garcia-Garcia:2022adg ; Kawabata:2022osw . The action is

S=t2t1dτ[\displaystyle-S=\int_{-t_{2}}^{t_{1}}{\rm d}\tau\Big{[} 14j,aψja(τ)τψja(τ)isgn(τ)(HL(τ)iqHR(τ))\displaystyle-\frac{1}{4}\sum_{j,a}\psi_{j}^{a}(\tau)\partial_{\tau}\psi_{j}^{a}(\tau)-i{\rm sgn}(\tau)\left(H^{L}(\tau)-i^{q}H^{R}(\tau)\right)
(ν+μδ(τ))n(τ)],\displaystyle-\left(\nu+\mu\delta(\tau)\right)n(\tau)\Big{]}, (18)

where HL(τ),HR(τ)H^{L}(\tau),\,H^{R}(\tau) and n(τ)n(\tau) are functions of real Grassmann variables ψja(τ)\psi_{j}^{a}(\tau) in the forms of (3) and (8). Notice that the unusual sign function before the Hamiltonians originates from the piecewise evolution et1et2e^{t_{1}\mathcal{L}^{\dagger}}e^{t_{2}\mathcal{L}} along the contour. The δ(τ)\delta(\tau) term corresponds to the insertion of eμne^{-\mu n} at τ=0\tau=0. Due to the initial and final state (5), the path integral is subjected to the boundary conditions

ψjL(t2)+iψjR(t2)=0,ψjL(t1)iψjR(t1)=0.\psi_{j}^{L}(-t_{2})+i\psi_{j}^{R}(-t_{2})=0,\quad\psi_{j}^{L}(t_{1})-i\psi_{j}^{R}(t_{1})=0. (19)

As in the pure SYK model Maldacena:2016remarks , we take the disorder average, keep the dominating replica diagonal part and obtain the action

S=t2t1dτj[14aψja(τ)τψja(τ)12(ν+μδ(τ))(iψjL(τ)ψjR(τ)+1)]iqJ22qNq1t2t1dτ1dτ2j1jN,absab(τ1,τ2)ψj1a(τ1)ψjqa(τ1)ψj1b(τ2)ψjqb(τ2),\begin{split}-S=&\leavevmode\nobreak\ \int_{-t_{2}}^{t_{1}}{\rm d}\tau\sum_{j}\Big{[}-\frac{1}{4}\sum_{a}\psi_{j}^{a}(\tau)\partial_{\tau}\psi_{j}^{a}(\tau)-\frac{1}{2}\left(\nu+\mu\delta(\tau)\right)(i\psi_{j}^{L}(\tau)\psi_{j}^{R}(\tau)+1)\Big{]}\\ &\leavevmode\nobreak\ -\frac{i^{q}J^{2}}{2qN^{q-1}}\int_{-t_{2}}^{t_{1}}{\rm d}\tau_{1}{\rm d}\tau_{2}\sum_{j_{1}\cdots j_{N},ab}s_{ab}(\tau_{1},\tau_{2})\psi_{j_{1}}^{a}(\tau_{1})\cdots\psi_{j_{q}}^{a}(\tau_{1})\psi_{j_{1}}^{b}(\tau_{2})\cdots\psi_{j_{q}}^{b}(\tau_{2}),\end{split} (20)

where sab(τ1,τ2)s_{ab}(\tau_{1},\tau_{2}) comes from the disorder average between two different locations and is defined as

sab(τ1,τ2)sa(τ1)sb(τ2),sL(τ)=iqsR(τ)=sgn(τ).s_{ab}(\tau_{1},\tau_{2})\equiv s_{a}(\tau_{1})s_{b}(\tau_{2}),\quad s^{L}(\tau)=-i^{q}s_{R}(\tau)={\rm sgn}(\tau). (21)

We introduce the bi-local fields

Gab(τ1,τ2)=1Njψja(τ1)ψjb(τ2),a,b=L,R,G_{ab}(\tau_{1},\tau_{2})=\frac{1}{N}\sum_{j}\psi_{j}^{a}(\tau_{1})\psi_{j}^{b}(\tau_{2}),\quad a,b=L,R, (22)

and Σab(τ1,τ2)\Sigma_{ab}(\tau_{1},\tau_{2}) via the Lagrange multiplier method

1=DΣDGexp[12t2t1dτ1dτ2abΣab(τ1,τ2)(Gab(τ1,τ2)1Njψja(τ1)ψjb(τ2))].1=\int{\rm D}\Sigma{\rm D}G\exp\left[-\frac{1}{2}\int_{-t_{2}}^{t_{1}}{\rm d}\tau_{1}{\rm d}\tau_{2}\sum_{ab}\Sigma_{ab}(\tau_{1},\tau_{2})\left(G_{ab}(\tau_{1},\tau_{2})-\frac{1}{N}\sum_{j}\psi_{j}^{a}(\tau_{1})\psi_{j}^{b}(\tau_{2})\right)\right]. (23)

By integrating out the Grassmann variables ψja(τ)\psi_{j}^{a}(\tau), we obtain the effective action for bi-local fields

S/N=\displaystyle-S/N= 12logdet(12δabτΣab)\displaystyle\leavevmode\nobreak\ \frac{1}{2}\log\det\left(\frac{1}{2}\delta_{ab}\partial_{\tau}-\Sigma_{ab}\right)
12t2t1dτ1dτ2ab(Σab(τ1,τ2)Gab(τ1,τ2)+sab(τ1,τ2)J2qGab(τ1,τ2)q)\displaystyle\leavevmode\nobreak\ -\frac{1}{2}\int_{-t_{2}}^{t_{1}}{\rm d}\tau_{1}{\rm d}\tau_{2}\sum_{ab}\left(\Sigma_{ab}(\tau_{1},\tau_{2})G_{ab}(\tau_{1},\tau_{2})+s_{ab}(\tau_{1},\tau_{2})\frac{J^{2}}{q}G_{ab}(\tau_{1},\tau_{2})^{q}\right)
14t2t1dτ(ν+μδ(τ))(iGLR(τ,τ)iGRL(τ,τ)+2).\displaystyle\leavevmode\nobreak\ -\frac{1}{4}\int_{-t_{2}}^{t_{1}}{\rm d}\tau\left(\nu+\mu\delta(\tau)\right)\left(iG_{LR}(\tau,\tau)-iG_{RL}(\tau,\tau)+2\right). (24)

The boundary condition (19) becomes

GaL(τ,t2)+iGaR(τ,t2)=GLa(t2,τ)+iGRa(t2,τ)=0,GaL(τ,t1)iGaR(τ,t1)=GLa(t1,τ)iGRa(t1,τ)=0.\begin{split}&G_{aL}(\tau,-t_{2})+iG_{aR}(\tau,-t_{2})=G_{La}(-t_{2},\tau)+iG_{Ra}(-t_{2},\tau)=0,\\ &G_{aL}(\tau,t_{1})-iG_{aR}(\tau,t_{1})=G_{La}(t_{1},\tau)-iG_{Ra}(t_{1},\tau)=0.\end{split} (25)

In the large NN limit, by taking the variation on the bi-local fields, we obtain the Schwinger-Dyson (SD) equation

12τ1Gab(τ1,τ2)t2t1dτ3cΣac(τ1,τ3)Gcb(τ3,τ2)=δabδ(τ1τ2),\displaystyle\frac{1}{2}\partial_{\tau_{1}}G_{ab}(\tau_{1},\tau_{2})-\int_{-t_{2}}^{t_{1}}{\rm d}\tau_{3}\sum_{c}\Sigma_{ac}(\tau_{1},\tau_{3})G_{cb}(\tau_{3},\tau_{2})=\delta_{ab}\delta(\tau_{1}-\tau_{2}), (26a)
Σab(τ1,τ2)=J2sab(τ1,τ2)Gab(τ1,τ2)q1i2ϵab(ν+μδ(τ1))δ(τ1τ2),\displaystyle\Sigma_{ab}(\tau_{1},\tau_{2})=-J^{2}s_{ab}(\tau_{1},\tau_{2})G_{ab}(\tau_{1},\tau_{2})^{q-1}-\frac{i}{2}\epsilon_{ab}\left(\nu+\mu\delta(\tau_{1})\right)\delta(\tau_{1}-\tau_{2}), (26b)

where ϵLL=ϵRR=0\epsilon_{LL}=\epsilon_{RR}=0 and ϵLR=ϵRL=1\epsilon_{LR}=-\epsilon_{RL}=1. The on-shell solution should be independent of t1t_{1} and t2t_{2}, such that the boundary condition (25) actually holds for any tt. This fact leads to the following simplification:

GLL(τ1,τ2)=sgn(τ21)iGLR(τ1,τ2)=sgn(τ12)iGRL(τ1,τ2)=GRR(τ1,τ2),\begin{split}G_{LL}(\tau_{1},\tau_{2})={\rm sgn}(\tau_{21})iG_{LR}(\tau_{1},\tau_{2})={\rm sgn}(\tau_{12})iG_{RL}(\tau_{1},\tau_{2})=G_{RR}(\tau_{1},\tau_{2}),\end{split} (27)

where τ12=τ1τ2\tau_{12}=\tau_{1}-\tau_{2}. To establish similar relations between the components of the self energy, we need to isolate the contribution from the anti-symmetric ϵab\epsilon_{ab} term in (26b) by defining Σ~ab(τ1,τ2)=J2sab(τ1,τ2)Gab(τ1,τ2)q1\tilde{\Sigma}_{ab}(\tau_{1},\tau_{2})=-J^{2}s_{ab}(\tau_{1},\tau_{2})G_{ab}(\tau_{1},\tau_{2})^{q-1}, which follows the same relations as (27), namely

Σ~LL(τ1,τ2)=sgn(τ21)iΣ~LR(τ1,τ2)=sgn(τ12)iΣ~RL(τ1,τ2)=Σ~RR(τ1,τ2).\tilde{\Sigma}_{LL}(\tau_{1},\tau_{2})={\rm sgn}(\tau_{21})i\tilde{\Sigma}_{LR}(\tau_{1},\tau_{2})={\rm sgn}(\tau_{12})i\tilde{\Sigma}_{RL}(\tau_{1},\tau_{2})=\tilde{\Sigma}_{RR}(\tau_{1},\tau_{2}). (28)

So, only one of the four components in GabG_{ab} and Σ~ab\tilde{\Sigma}_{ab} are independent. We choose GLLG_{LL} and Σ~LL\tilde{\Sigma}_{LL}, and simplify the SD equations as

δ(τ1τ2)=\displaystyle\delta(\tau_{1}-\tau_{2})= 12τ1GLL(τ1,τ2)2sgn(τ12)τ2τ1dτ3Σ~LL(τ1,τ3)GLL(τ3,τ2)\displaystyle\leavevmode\nobreak\ \frac{1}{2}\partial_{\tau_{1}}G_{LL}(\tau_{1},\tau_{2})-2{\rm sgn}(\tau_{12})\int_{\tau_{2}}^{\tau_{1}}{\rm d}\tau_{3}\tilde{\Sigma}_{LL}(\tau_{1},\tau_{3})G_{LL}(\tau_{3},\tau_{2})
+12sgn(τ12)(ν+μδ(τ1))GLL(τ12),\displaystyle+\frac{1}{2}{\rm sgn}(\tau_{12})\left(\nu+\mu\delta(\tau_{1})\right)G_{LL}(\tau_{12}), (29a)
Σ~LL(τ1,τ2)=\displaystyle\tilde{\Sigma}_{LL}(\tau_{1},\tau_{2})= J2sgn(τ1)sgn(τ2)GLL(τ1,τ2)q1,\displaystyle\leavevmode\nobreak\ -J^{2}{\rm sgn}(\tau_{1}){\rm sgn}(\tau_{2})G_{LL}(\tau_{1},\tau_{2})^{q-1}, (29b)

such that t1t_{1} and t2t_{2} disappear. Now the equation is real, so we expect real solutions of GLLG_{LL} and Σ~LL\tilde{\Sigma}_{LL}. Other components could be reconstructed via (27) and (28).

The two-point function Gab(τ1,τ2)G_{ab}(\tau_{1},\tau_{2}) derived from the path integral, or from solving the SD equation (26) in the large NN limit, can be expressed as the following expectation value

Gab(τ1,τ2)=1NZμ(t1,t2)j0|𝒯[eμn(0)ψja(τ1)ψjb(τ2)]|0,G_{ab}(\tau_{1},\tau_{2})=\frac{1}{NZ_{\mu}(t_{1},t_{2})}\sum_{j}\left\langle 0\right|\mathcal{T}\left[e^{-\mu n(0)}\psi_{j}^{a}(\tau_{1})\psi_{j}^{b}(\tau_{2})\right]\left|0\right\rangle, (30)

where the operator evolution is defined as

O(τ)={eτOeτ,τ0eτOeτ,τ>0O(\tau)=\begin{cases}e^{-\tau\mathcal{L}}Oe^{\tau\mathcal{L}},&\tau\leq 0\\ e^{-\tau\mathcal{L}^{\dagger}}Oe^{\tau\mathcal{L}^{\dagger}},&\tau>0\\ \end{cases} (31)

and the time ordering 𝒯\mathcal{T} compatible with the path integral (17) and (2.3) is

𝒯[O1(τ1)O2(τ2)]={O1(τ1)O2(τ2),τ1>τ2(1)ηO2(τ2)O1(τ1),τ1<τ2,\mathcal{T}\left[O_{1}(\tau_{1})O_{2}(\tau_{2})\right]=\begin{cases}O_{1}(\tau_{1})O_{2}(\tau_{2}),&\tau_{1}>\tau_{2}\\ (-1)^{\eta}O_{2}(\tau_{2})O_{1}(\tau_{1}),&\tau_{1}<\tau_{2}\\ \end{cases}, (32)

with η=1\eta=1 if both operators are fermionic, and η=0\eta=0 in other cases. Under the disorder average, the generating functions (15)(16) will not depend on the choice of the Majorana index and equals the specific two-point function

𝒢μ(t)=Zμ(t,t)GLL(t,t),𝒢μ(t1,t2)=Zμ(t1,t2)GLL(t1,t2).\mathcal{G}_{\mu}(t)=Z_{\mu}(t,t)G_{LL}(t,-t),\quad\mathcal{G}_{\mu}(t_{1},t_{2})=Z_{\mu}(t_{1},t_{2})G_{LL}(t_{1},-t_{2}). (33)

where Zμ(t1,t2)=1Z_{\mu}(t_{1},t_{2})=1.

2.4 Symmetries

The sgn(τ){\rm sgn}(\tau) factor in the path integral (2.3) divides the time domain [t2,t1][-t_{2},t_{1}] into two parts [t2,0)[-t_{2},0) and (0,t1](0,t_{1}]. So, the double-time argument in Gab(τ1,τ2)G_{ab}(\tau_{1},\tau_{2}) has 44 distinct cases. Besides the relationship (27) between the components of GabG_{ab}, we should further identify the independent time domain in (τ1,τ2)(\tau_{1},\tau_{2}) based on other symmetries.

We will review some transformations and symmetries in the PTPT-symmetric Linbladian Prosen:2012sn ; Garcia-Garcia:2023yet . They will provide us with the symmetries of the spectrum and the symmetries of the two-point function, which connect the two-point function in different time domains.

  • Anti-commutation relation of fermions. Exchanging the ψja(τ1)\psi_{j}^{a}(\tau_{1}) and ψjb(τ2)\psi_{j}^{b}(\tau_{2}) in (30) leads to the relation

    Gab(τ1,τ2)=Gba(τ2,τ1).G_{ab}(\tau_{1},\tau_{2})=-G_{ba}(\tau_{2},\tau_{1}). (34)
  • Hermitian conjugation \dagger. Since (eτ1eμneτ2)=eτ2eμneτ1\left(e^{\tau_{1}\mathcal{L}^{\dagger}}e^{-\mu n}e^{\tau_{2}\mathcal{L}}\right)^{\dagger}=e^{\tau_{2}\mathcal{L}^{\dagger}}e^{-\mu n}e^{\tau_{1}\mathcal{L}}, the conjugate of the two-point function will change the time argument,

    Gab(τ1,τ2)=Gba(τ2,τ1).G_{ab}(\tau_{1},\tau_{2})=G_{ba}^{*}(-\tau_{2},-\tau_{1}). (35)
  • Parity PP and time reversal TT. They are defined as

    P=eπ4jψjLψjR=(eiπ4σz)N,TOT=O,P=e^{-\frac{\pi}{4}\sum_{j}\psi_{j}^{L}\psi_{j}^{R}}=\left(e^{-i\frac{\pi}{4}\sigma_{z}}\right)^{\otimes N},\quad TOT=O^{*}, (36)

    where we have expressed the transformation acting on the representation of Majorana fermions of the Jordan–Wigner (JW) transformation,

    ψjL=(1)j1σz(j1)σx1(Nj),ψjR=(1)j1σz(j1)σy1(Ni),\psi^{L}_{j}=(-1)^{j-1}\sigma_{z}^{\otimes(j-1)}\otimes\sigma_{x}\otimes 1^{\otimes(N-j)},\quad\psi^{R}_{j}=(-1)^{j-1}\sigma_{z}^{\otimes(j-1)}\otimes\sigma_{y}\otimes 1^{\otimes(N-i)}, (37)

    in this representation TT performs the complex conjugation of a matrix. The action of P,TP,\,T transformations are listed in Tab. 1. One can check that TPT=P1TPT=P^{-1} and the Liouvillian has PTPT symmetry

    PTPT=.PT\mathcal{L}PT=\mathcal{L}. (38)

    The PTPT symmetry ensures that the spectrum of \mathcal{L} is invariant under conjugation Bender:1998PT ; Mostafazadeh:2001jk ; Mostafazadeh:2001nr ; Mostafazadeh:2002id ; Zhang:2019gyc ; Prosen:2012sn . Combining the PTPT transformation, we have the relation

    Gab(τ1,τ2)=Ga¯b¯(τ1,τ2),G_{ab}(\tau_{1},\tau_{2})=G_{\bar{a}\bar{b}}^{*}(\tau_{1},\tau_{2}), (39)

    where L¯=R,R¯=L\bar{L}=R,\,\bar{R}=L.

    OO POP1POP^{-1} TOTTOT SLOSLS^{L}OS^{L}
    ii ii i-i ii
    ψjL\psi_{j}^{L} ψjR\psi_{j}^{R} ψjL\psi_{j}^{L} ψjL-\psi_{j}^{L}
    ψjR\psi_{j}^{R} ψjL-\psi_{j}^{L} ψjR-\psi_{j}^{R} ψjR\psi_{j}^{R}
    nn nn nn NnN-n
    HLH^{L} HRH^{R} iqHLi^{q}H^{L} HLH^{L}
    HRH^{R} HLH^{L} iqHRi^{q}H^{R} HRH^{R}
    Table 1: The transformation of some operators under P,TP,\,T and SLS^{L}.
  • SLS^{L} transformation. It is defined as Garcia-Garcia:2023yet

    SL=iN(N1)/2ψ1Lψ2LψNL=Γ1NLS^{L}=i^{N(N-1)/2}\psi_{1}^{L}\psi_{2}^{L}\cdots\psi_{N}^{L}=\Gamma_{1\cdots N}^{L} (40)

    with SLSL=1S^{L}S^{L}=1 and (SL)=SL(S^{L})^{\dagger}=S^{L}. Some results of SLS^{L} transformation are listed in Tab. 1. The particle-hole conjugation is TSLTS^{L} Cotler:2016fpe . We can check that

    SL(+12νN)SL=(+12νN)|νν=(+12νN),SL|0=|N.S^{L}(\mathcal{L}+\frac{1}{2}\nu N)S^{L}=(\mathcal{L}+\frac{1}{2}\nu N)|_{\nu\to-\nu}=-(\mathcal{L}+\frac{1}{2}\nu N)^{\dagger},\quad S^{L}\left|0\right\rangle=\left|N\right\rangle. (41)

    So the spectrum of (+12νN)(\mathcal{L}+\frac{1}{2}\nu N) is symmetric respective to the origin. Since SLS^{L} does not preserve the state |0\left|0\right\rangle, it can not be a new symmetry of the two-point function. However, it can relate the two-point function defined on state |0\left|0\right\rangle (30) and the following two-point function defined on state |N\left|N\right\rangle

    Gab(τ1,τ2)=1NN|NjN|𝒯[eμ(Nn(0))ψja(τ1)ψjb(τ2)]|N|νν,G_{ab}(\tau_{1},\tau_{2})=\frac{1}{N\left\langle N|N\right\rangle}\sum_{j}\left\langle N\right|\mathcal{T}\left[e^{-\mu(N-n(0))}\psi_{j}^{a}(\tau_{1})\psi_{j}^{b}(\tau_{2})\right]\left|N\right\rangle\Big{|}_{\nu\to-\nu}, (42)

    where N|eμn|N=eμN\left\langle N\right|e^{-\mu n}\left|N\right\rangle=e^{-\mu N} is used. The relation between two-point functions results in a simple relation between two sizes

    n[ψ1(t)]=Nn[Γ2N(t)]|νν.n[\psi_{1}(t)]=N-n[\Gamma_{2\cdots N}(t)]|_{\nu\to-\nu}. (43)

    Similarly, for the other ΓI\Gamma_{I} operators, we will have n[ΓI(t)]=Nn[ΓI(t)]|ννn[\Gamma_{I}(t)]=N-n[\Gamma_{I^{\complement}}(t)]|_{\nu\to-\nu}, where II^{\complement} is the complement of II. This relation aligns with our intuition: a jump term in the Linbladian with strength |ν||\nu|, which suppresses the size of ΓI(t)\Gamma_{I}(t), has the same effect as the jump term with |ν|-|\nu| that enhances the size of ΓI(t)\Gamma_{I^{\complement}}(t). In this sense, the Lindbladian with ν<0\nu<0 is also meaningful for the system coupled to a Markovian reservoir.

Refer to caption
Figure 2: The independent time domain (τ2τ1τ2-\tau_{2}\geq\tau_{1}\geq\tau_{2}) is colored, which consists of domain 1 (0τ1τ20\geq\tau_{1}\geq\tau_{2}) (blue triangle) and domain 2 (τ2τ10-\tau_{2}\geq\tau_{1}\geq 0) (orange triangle). The locations of the boundary conditions (59) are labeled by the letters in brackets. We have chosen t1=t2=tt_{1}=t_{2}=t.

In summary, the spectrum of (+12νN)(\mathcal{L}+\frac{1}{2}\nu N) is symmetric with respect to both the real axis and the imaginary axis. The two-point function has the symmetries:

Gab(τ1,τ2)=Gba(τ2,τ1)=Gba(τ2,τ1)=Ga¯b¯(τ1,τ2).G_{ab}(\tau_{1},\tau_{2})=-G_{ba}(\tau_{2},\tau_{1})=G_{ba}^{*}(-\tau_{2},-\tau_{1})=G_{\bar{a}\bar{b}}^{*}(\tau_{1},\tau_{2}). (44)

Combining them with the simplification (27), we can reduce the two-point function to a single component in an independent time domain. We choose

GLL(τ1,τ2) with τ2τ1τ2.G_{LL}(\tau_{1},\tau_{2})\,\text{ with }-\tau_{2}\geq\tau_{1}\geq\tau_{2}. (45)

The time domain forms a triangle, as shown in Fig. 2. With this analysis on our hands, we will now numerically and analytically solve the problem in the following two sections.

3 Numerical operator size at finite qq

3.1 Exact diagonalization at finite NN

Refer to caption
Figure 3: (Left) The spectrum {E~k}\left\{\tilde{E}_{k}\right\} of a realization of shifted Liouvillian +12νN\mathcal{L}+\frac{1}{2}\nu N as a function of ν/J\nu/J, where N=10,q=4N=10,\,q=4. (Right) The shifted spectrum {E~k}\left\{\tilde{E}_{k}\right\} versus the expectation value of size n=Rk|n|Rk/Rk|Rk\left\langle n\right\rangle=\left\langle R_{k}\right|n\left|R_{k}\right\rangle/\left\langle R_{k}|R_{k}\right\rangle at ν/J=5\nu/J=5. Comparing the left and right panel, we find that the bands in the spectrum at large ν/J\nu/J, e.g. ν/J=5\nu/J=5, could be labeled by the size n\left\langle n\right\rangle.
Refer to caption
Refer to caption
Refer to caption
Figure 4: The spectrum of one realization of Liouvillian \mathcal{L} is shown on the complex plane of shifted energy E~=E+12νN\tilde{E}=E+\frac{1}{2}\nu N. The shade of red of each dot with energy E~k\tilde{E}_{k} denotes the probability |Lk|ψ1|2\left|\left\langle L_{k}|\psi_{1}\right\rangle\right|^{2}. The probability on the eigenstate with the energy labeled by a gray dot is negligible. The parameters are N=10,q=4N=10,\,q=4 and ν/J=1\nu/J=1 (left), 33 (right).

We will numerically diagonalize the Liouvillian (7) at q=4q=4 and N=10N=10 and then study the evolution of the operator size and size distribution. We observe that, when ν>0\nu>0 (ν<0\nu<0), the operator size growth is suppressed (enhanced) and the size reaches a stable value smaller (bigger) than N/2N/2 at the late time. We skip the case of q=2q=2, since the size is trivially n[ψ1(t)]=1n[\psi_{1}(t)]=1.

We use the Jordan-Wigner transformation (37) to construct the Liouvillian (7) and numerically diagonalize it to find its spectrum {Ek|k=1,2,,D}\left\{E_{k}|k=1,2,\cdots,D\right\}, see also Kulkarni:2021gtt ; Zhou:2021yyw . We plot the shifted spectrum {E~k=Ek+12νN}\left\{\tilde{E}_{k}=E_{k}+\frac{1}{2}\nu N\right\}, because it is symmetric with respect to both the real axis and the imaginary axis, according to the symmetry analysis in Subsec. 2.4. The spectrum of one realization at positive ν\nu is shown in the left panel of Fig. 3, which is identical to the spectrum with ν-\nu. The spectrum of Liouvillian is quite different from the pure SYK spectrum Cotler:2016fpe ; Garcia-Garcia:2016mno ; you2017sachdev . When ν/J1\nu/J\gg 1, the spectrum is real and exhibits energy bands and gaps, where the bands are approximately labeled by their sizes, as shown in the right panel of Fig. 3. When ν/J1\nu/J\sim 1, some real energy pairs collide with each other EkEkE_{k}\to E_{k^{\prime}} and then move into the complex plane. The points where such collision happens are called exceptional points Bender:1998PT . When ν/J1\nu/J\ll 1, most but not all the energies become complex.

We can further find the biorthogonal eigenbasis {(|Rk,Lk|)}\left\{\left(\left|R_{k}\right\rangle,\left\langle L_{k}\right|\right)\right\} with |Rk=Ek|Rk,Lk|=EkLk|\mathcal{L}\left|R_{k}\right\rangle=E_{k}\left|R_{k}\right\rangle,\,\left\langle L_{k}\right|\mathcal{L}=E_{k}\left\langle L_{k}\right| and Lk|Rk=δkk\left\langle L_{k}|R_{k^{\prime}}\right\rangle=\delta_{kk^{\prime}} Brody2013BiorthogonalQM , except at the exceptional points, where two eigenstates become linearly dependent, |Rk|Rk\left|R_{k}\right\rangle\to\left|R_{k^{\prime}}\right\rangle. Before their collision, the two eigenstate have PTPT symmetry, namely PT|Rk|RkPT\left|R_{k}\right\rangle\propto\left|R_{k}\right\rangle and PT|Rk|RkPT\left|R_{k^{\prime}}\right\rangle\propto\left|R_{k^{\prime}}\right\rangle. After the collision, PTPT symmetry is spontaneously broken into PT|Rk|RkPT\left|R_{k}\right\rangle\propto\left|R_{k^{\prime}}\right\rangle. The real and imaginary parts of the spectrum are related to the decomposition of Liouvillian (7) via

ReEk=Rk|𝒳|RkRk|Rk,ImEk=Rk|𝒫|RkRk|Rk,{\rm Re}E_{k}=\frac{\left\langle R_{k}\right|\mathcal{X}\left|R_{k}\right\rangle}{\left\langle R_{k}|R_{k}\right\rangle},\quad{\rm Im}E_{k}=\frac{\left\langle R_{k}\right|\mathcal{P}\left|R_{k}\right\rangle}{\left\langle R_{k}|R_{k}\right\rangle}, (46)

or, equivalently, with RkLkR_{k}\to L_{k} being replaced.

The spectrum {Ek}\left\{E_{k}\right\} and the probability distribution |Lk|ψ1|2\left|\left\langle L_{k}|\psi_{1}\right\rangle\right|^{2} are plotted in Fig. 4. For a large ν/J\nu/J, the energies exhibiting imaginary parts still form bands and gaps. The state |ψ1\left|\psi_{1}\right\rangle mainly distributes around the n=1n=1 band. When ν/J\nu/J decreases, these bands collapse into a cluster. The state |ψ1\left|\psi_{1}\right\rangle mainly distributes at the edge of the cluster with large ReEk{\rm Re}E_{k}. Based on the diagonalization and the probability distribution, we can calculate the size and size distribution

n[ψ1(t)]=\displaystyle n[\psi_{1}(t)]= kkψ1|LketEkRk|n|RketEkLk|ψ1,\displaystyle\leavevmode\nobreak\ \sum_{kk^{\prime}}\left\langle\psi_{1}|L_{k}\right\rangle e^{tE_{k}^{*}}\left\langle R_{k}\right|n\left|R_{k^{\prime}}\right\rangle e^{tE_{k^{\prime}}}\left\langle L_{k^{\prime}}|\psi_{1}\right\rangle, (47)
Pn[ψ1(t)]=\displaystyle P_{n}[\psi_{1}(t)]= 1A|I|=n|ΓI|RketEkLk|ψ1|2,\displaystyle\leavevmode\nobreak\ \frac{1}{A}\sum_{\left|I\right|=n}\left|\left\langle\Gamma_{I}|R_{k^{\prime}}\right\rangle e^{tE_{k^{\prime}}}\left\langle L_{k^{\prime}}|\psi_{1}\right\rangle\right|^{2}, (48)

where the normalization factor AA is determined by nPn=1\sum_{n}P_{n}=1.

The growth of operator size n[ψ1(t)]n[\psi_{1}(t)] from ED is shown in Fig. 5. The larger the ν/J\nu/J, the slower the operator size grows, and the lower the plateau it reaches. But the reasons for the different sizes plateau of different ν\nu varies. For ν/J=0\nu/J=0, the plateau is given by N/2N/2 due to full scrambling. With strong dissipation ν/J1\nu/J\gg 1, the plateau is determined by the competition between the interaction JJ and the dissipation ν\nu. With strong production ν/J1-\nu/J\gg 1, the plateau is pushed to a value a small distance away from the maximally possible operator size N1N-1, determined by the ratio between the interaction JJ and the production ν-\nu. In the limit ν/J-\nu/J\rightarrow\infty, the operator size will approach N1N-1. In Fig. 6, we further show the size distribution Pn[ψ1(t)]P_{n}[\psi_{1}(t)] for ν>0\nu>0 or ν<0\nu<0. We can see that dissipation ν>0\nu>0 (production ν<0\nu<0) suppresses (enhances) the probability of large sizes. Notice that all the probability on even sizes vanish because each commutation with the q=4q=4 SYK Hamiltonian can only change the size by even numbers.

In App. B, we calculate the size and size distribution of the pure SYK thermal state (eβH/2)(t)(e^{-\beta H/2})(t) and the thermal fermion (eβH/2ψ1)(t)(e^{-\beta H/2}\psi_{1})(t) in the same way. For low temperature, these operators have larger initial sizes. Their sizes decrease or increase, depending on the strength of dissipation or production.

Refer to caption
Figure 5: Operator size growth n[ψ1(t)]n[\psi_{1}(t)] in the average of 2020 samples, where q=4q=4 and N=10N=10.
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Figure 6: Some snapshots of the operator size distribution Pn[ψ1(t)]P_{n}[\psi_{1}(t)] for ν/J=0.4\nu/J=0.4 (left) and ν/J=0.4\nu/J=-0.4 (right), where q=4q=4 and N=10N=10. Only the distribution for odd nn is depicted.
Refer to caption
Figure 7: Numerical solution GLL(τ1,τ2)G_{LL}(\tau_{1},\tau_{2}) of the SD equation (26), where q=6,ν^=qν=0.1𝒥,μ^=qμ=1𝒥q=6,\,\hat{\nu}=q\nu=0.1\mathcal{J},\,\hat{\mu}=q\mu=1\mathcal{J} and t1=t2=t=6𝒥t_{1}=t_{2}=t=6\mathcal{J}.

3.2 Numerical Schwinger-Dyson equation at infinite NN

We also calculated the two-point function by numerically solving the SD equation (26). We plot the configurations of the numerical solution GLL(τ1,τ2)G_{LL}(\tau_{1},\tau_{2}) at finite μ\mu in Fig. 7. Discontinuities appear across the interfaces τ1=0\tau_{1}=0 and τ2=0\tau_{2}=0 due to the insertion eμne^{-\mu n} there. To extract the operator size according to (12), we vary μ\mu around 0 and calculate the difference of generating functions. We have chosen a long time t1=t2=tt_{1}=t_{2}=t so that, as shown in Fig. 8, the overall growth-plateau behavior of the operator size is covered. For dissipation ν>0\nu>0, the growth rate is suppressed and a plateau of operator size emerges at finite time. For production ν<0\nu<0, the growth rate is enhanced and the numerical method breaks down in finite time, indicating the divergence of operator size and necessitating the regularization by finite NN effects. In the next section, we will find the analytical operator size growth at large qq, which nicely matches the numerical result for any ν\nu at large but finite qq, as already demonstrated in Fig. 8.

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Figure 8: Operator sizes growth n[ψ1(t)]n[\psi_{1}(t)] from the numeric SD equation (dots) at q=6,96q=6,96 and the analytical result (71) at infinite qq (curves), where ν^/𝒥=qν/𝒥=0.1,0,0.1,0.2,1,10\hat{\nu}/\mathcal{J}=q\nu/\mathcal{J}=-0.1,0,0.1,0.2,1,10.

4 Analytical operator size at large qq

In this section, we will solve the Lindbladian SYK in the large qq limit, where the SD equations, represented as integral equations, reduce to the Liouville equations, which are differential equations. Following Maldacena:2016remarks ; Maldacena:2018lmt ; Qi:2018quantum ; Streicher:2019wek ; Kulkarni:2021gtt , when considering the 1q2N1\ll q^{2}\ll N limit, we will keep the following parameters fixed

t,𝒥=2qJ,ν^=qν,μ^=qμ.t,\quad\mathcal{J}=\sqrt{2q}J,\quad\hat{\nu}=q\nu,\quad\hat{\mu}=q\mu. (49)

We will analytically solve the Liouville equations with boundary conditions and calculate the generating functions, Loschmidt echo fidelity, operator size, size distribution, and the variances of the size operator and the Liouvillian.

4.1 Liouville equation

Owing to the symmetries (44), we use the following large qq ansatz for the independent parts of two-point function (45)

GLL(τ1,τ2)=sgn(τ1τ2)eg(τ1,τ2)/q,G_{LL}(\tau_{1},\tau_{2})={\rm sgn}(\tau_{1}-\tau_{2})e^{g(\tau_{1},\tau_{2})/q}, (50)

where the prefactors are determined by the free case.

Plugging (50) into the SD equation (26), utilizing the relation (27) and taking the large qq expansion, we find that the (1/q)0\left(1/q\right)^{0} order is automatically solved, and the (1/q)1(1/q)^{1} order gives rise to the Liouville equation. Because the factor sgn(τ){\rm sgn}(\tau) in the SD equation changes its sign at τ=0\tau=0, we should further divide the triangular domain (45) into two subdomains, as shown in Fig. 2, where the Liouville equations behave differently in respected interiors

Domain 1: 0>τ1>τ2,\displaystyle\text{Domain 1: }0>\tau_{1}>\tau_{2},\leavevmode\nobreak\ \leavevmode\nobreak\ \leavevmode\nobreak\ \leavevmode\nobreak\ \leavevmode\nobreak\ \leavevmode\nobreak\ \leavevmode\nobreak\ τ1τ2g1(τ1,τ2)=2𝒥2eg1(τ1,τ2),\displaystyle\partial_{\tau_{1}}\partial_{\tau_{2}}g_{1}(\tau_{1},\tau_{2})=2\mathcal{J}^{2}e^{g_{1}(\tau_{1},\tau_{2})}, (51a)
Domain 2: τ2>τ1>0,\displaystyle\text{Domain 2: }-\tau_{2}>\tau_{1}>0,\quad τ1τ2g2(τ1,τ2)=2𝒥2eg2(τ1,τ2).\displaystyle\partial_{\tau_{1}}\partial_{\tau_{2}}g_{2}(\tau_{1},\tau_{2})=-2\mathcal{J}^{2}e^{g_{2}(\tau_{1},\tau_{2})}. (51b)

g1(τ1,τ2)g_{1}(\tau_{1},\tau_{2}) is termed uncrossed function because it represents the correlation not crossing the point τ=0\tau=0, while g2(τ1,τ2)g_{2}(\tau_{1},\tau_{2}) is termed crossed function because it represents the correlation crossing the point τ=0\tau=0.

Next, we discuss the conditions on the boundaries of domains 1 and 2, namely τ=0\tau_{-}=0, τ1=0\tau_{1}=0 and τ+=0\tau_{+}=0, as labeled in Fig. 2, where τ±τ1±τ2\tau_{\pm}\equiv\tau_{1}\pm\tau_{2} and τ±=12(τ1±τ2)\partial_{\tau_{\pm}}=\frac{1}{2}(\partial_{\tau_{1}}\pm\partial_{\tau_{2}}):

  1. (a)

    From the anti-commutation relation, we have GLL(τ,τ)=1G_{LL}(\tau,\tau)=1, so

    g1(τ,τ)=0.g_{1}(\tau,\tau)=0. (52)
  2. (b)

    When τ1\tau_{1} passes through τ2\tau_{2}, we should take the additional delta νδ(τ1τ2)\nu\delta(\tau_{1}-\tau_{2}) term in the SD equation (26) into account. The Liouville equation (51a) acquires an additional delta term,

    τ1τ2g1(τ1,τ2)=2𝒥2eg1(τ1,τ2)+2ν^δ(τ1τ2)\partial_{\tau_{1}}\partial_{\tau_{2}}g_{1}(\tau_{1},\tau_{2})=2\mathcal{J}^{2}e^{g_{1}(\tau_{1},\tau_{2})}+2\hat{\nu}\delta(\tau_{1}-\tau_{2}) (53)

    Integrating τ\tau_{-} over an infinitesimally internal around τ=0\tau_{-}=0 and using the symmetry (44), we obtain the boundary condition

    limτ0+τg1(τ1,τ2)=ν^.\lim_{\tau_{-}\to 0^{+}}\partial_{\tau_{-}}g_{1}(\tau_{1},\tau_{2})=-\hat{\nu}. (54)
  3. (c)

    The insertion of eμn(0)e^{-\mu n(0)} yields the twisted boundary condition Qi:2018quantum ; Streicher:2019wek

    eμn(ψjLiψjR)=(coshμsinhμsinhμcoshμ)(ψjLiψjR)eμn.e^{-\mu n}\begin{pmatrix}\psi_{j}^{L}\\ i\psi_{j}^{R}\end{pmatrix}=\begin{pmatrix}\cosh\mu&\sinh\mu\\ \sinh\mu&\cosh\mu\end{pmatrix}\begin{pmatrix}\psi_{j}^{L}\\ i\psi_{j}^{R}\end{pmatrix}e^{-\mu n}. (55)

    It leads to the following twisted condition for both two-point functions at τ1=0\tau_{1}=0

    (GLa(0,τ)iGRb(0,τ))=(coshμsinhμsinhμcoshμ)(GLa(0+,τ)iGRb(0+,τ))q1eμ^/q(GLa(0+,τ)iGRb(0+,τ))\begin{pmatrix}G_{La}(0^{-},\tau)\\ iG_{Rb}(0^{-},\tau)\end{pmatrix}=\begin{pmatrix}\cosh\mu&\sinh\mu\\ \sinh\mu&\cosh\mu\end{pmatrix}\begin{pmatrix}G_{La}(0^{+},\tau)\\ iG_{Rb}(0^{+},\tau)\end{pmatrix}\xrightarrow{q\gg 1}e^{\hat{\mu}/q}\begin{pmatrix}G_{La}(0^{+},\tau)\\ iG_{Rb}(0^{+},\tau)\end{pmatrix} (56)

    and similar one for τ2=0\tau_{2}=0. The two-point function exhibits discontinuity across the τ1=0\tau_{1}=0 interface and the τ2=0\tau_{2}=0 interface, as shown in the numerical solution in Fig. 7. At large qq, where μ=μ^/q\mu=\hat{\mu}/q is small, the twisted boundary conditions decouple as shown at the last step of (56). It leads to the following boundary condition between the crossed and uncrossed functions at the τ1=0\tau_{1}=0 interface between domain 1 and domain 2,

    limτ10g1(τ1,τ2)=limτ10g2(τ1,τ2)+μ^.\lim_{\tau_{1}\to 0}g_{1}(\tau_{1},\tau_{2})=\lim_{\tau_{1}\to 0}g_{2}(\tau_{1},\tau_{2})+\hat{\mu}. (57)
  4. (d)

    On the boundary τ+=0\tau_{+}=0 of domain 2, the SD equation (26) does not have any delta source. From (44), we know that the two-point function is symmetric with respect to this line. So we can impose the smoothness condition on this boundary,

    τ+g2(τ1,τ2)|τ+=0=0.\left.\partial_{\tau_{+}}g_{2}(\tau_{1},\tau_{2})\right|_{\tau_{+}=0}=0. (58)

Below we summarize all the boundary conditions derived above:

(a)\displaystyle{\rm(a)} g1(τ,τ)=0.\displaystyle\leavevmode\nobreak\ g_{1}(\tau,\tau)=0. (59a)
(b)\displaystyle{\rm(b)} limτ0+τg1(τ1,τ2)=ν^.\displaystyle\leavevmode\nobreak\ \lim_{\tau_{-}\to 0^{+}}\partial_{\tau_{-}}g_{1}(\tau_{1},\tau_{2})=-\hat{\nu}. (59b)
(c)\displaystyle{\rm(c)} limτ10g1(τ1,τ2)=limτ10g2(τ1,τ2)+μ^.\displaystyle\leavevmode\nobreak\ \lim_{\tau_{1}\to 0}g_{1}(\tau_{1},\tau_{2})=\lim_{\tau_{1}\to 0}g_{2}(\tau_{1},\tau_{2})+\hat{\mu}. (59c)
(d)\displaystyle{\rm(d)} τ+g2(τ1,τ2)|τ+=0=0\displaystyle\leavevmode\nobreak\ \left.\partial_{\tau_{+}}g_{2}(\tau_{1},\tau_{2})\right|_{\tau_{+}=0}=0 (59d)

4.2 Solution and generating functions

The Liouville equations (51) with boundary conditions (59) can determine the solution. Here we find a solution through the following analysis. For the uncrossed function g1(τ1,τ2)g_{1}(\tau_{1},\tau_{2}) in domain 1, the operators et1e^{t_{1}\mathcal{L}^{\dagger}} and eμne^{-\mu n} in the partition function (17) are eliminated by observing 0|=0|n=0\left\langle 0\right|\mathcal{L}^{\dagger}=\left\langle 0\right|n=0. So the uncrossed function g1(τ1,τ2)g_{1}(\tau_{1},\tau_{2}) should be the same as the translational invariant solution in Kulkarni:2021gtt . Then we can determine the crossed function g2(τ1,τ2)g_{2}(\tau_{1},\tau_{2}) in domain 2 by matching the general solution of the Liouville equation in Gao:2019nyj to the boundary conditions (59) with the known uncrossed function g1(τ1,τ2)g_{1}(\tau_{1},\tau_{2}). The analytical solution we find is

eg1(τ1,τ2)=(coshγcosh(α(τ1τ2)+γ))2,\displaystyle e^{g_{1}(\tau_{1},\tau_{2})}=\left(\frac{\cosh\gamma}{\cosh(\alpha(\tau_{1}-\tau_{2})+\gamma)}\right)^{2}, (60a)
eg2(τ1,τ2)=\displaystyle e^{g_{2}(\tau_{1},\tau_{2})}= (60b)
(2eμ^/2cosh2γ(eμ^+1)cosh(α(τ1+τ2))+eμ^cosh(α(τ1τ2)+2γ)cosh(α(τ1τ2)))2,\displaystyle\left(\frac{2e^{\hat{\mu}/2}\cosh^{2}\gamma}{(e^{\hat{\mu}}+1)\cosh\left(\alpha(\tau_{1}+\tau_{2})\right)+e^{\hat{\mu}}\cosh\left(\alpha(\tau_{1}-\tau_{2})+2\gamma\right)-\cosh\left(\alpha(\tau_{1}-\tau_{2})\right)}\right)^{2},

where the parameters α\alpha and γ\gamma are determined by

α=𝒥coshγ,γ=arcsinhν^2𝒥.\alpha=\mathcal{J}\cosh\gamma,\quad\gamma=\operatorname{arcsinh}\frac{\hat{\nu}}{2\mathcal{J}}. (61)

In the following two limits of weak and strong dissipation, the two parameters approach

weak dissipation ν^/𝒥1,α𝒥,γν^2𝒥,\displaystyle\hat{\nu}/\mathcal{J}\ll 1,\quad\alpha\approx\mathcal{J},\quad\gamma\approx\frac{\hat{\nu}}{2\mathcal{J}}, (62)
strong dissipation ν^/𝒥1,αν^2,γlnν^𝒥.\displaystyle\hat{\nu}/\mathcal{J}\gg 1,\quad\alpha\approx\frac{\hat{\nu}}{2},\quad\gamma\approx\ln\frac{\hat{\nu}}{\mathcal{J}}. (63)

The large qq expansion below (50) is valid when both eg1(τ1,τ2)/qe^{g_{1}(\tau_{1},\tau_{2})/q} and eg2(τ1,τ2)/qe^{g_{2}(\tau_{1},\tau_{2})/q} are 𝒪(1){\cal O}(1). When ν^>0\hat{\nu}>0, they decay as e2α(τ1τ2)/qe^{-2\alpha(\tau_{1}-\tau_{2})/q} for large time differences τ1τ21/α\tau_{1}-\tau_{2}\gg 1/\alpha. The solution is valid when τ1τ2q/α\tau_{1}-\tau_{2}\ll q/\alpha. When ν^<0\hat{\nu}<0, g2(τ1,τ2)g_{2}(\tau_{1},\tau_{2}) suffers from a divergence along a line in domain 2 where the denominator in (60b) vanishes. The large qq solution is not applicable beyond that line, and necessitates regularization due to the finite NN effect. Fortunately, the validity region in time is, due to the large qq limit, extensive enough for our analysis of operator size.

Plugging (60b) into (33) and (33), we obtain the generating function

𝒢μ(t)=eg2(t,t)/q=(2eμ^/2cosh2γ1cosh(2αt)+2eμ^cosh2(αt+γ))2/q\mathcal{G}_{\mu}(t)=e^{g_{2}(t,-t)/q}=\left(\frac{2e^{\hat{\mu}/2}\cosh^{2}\gamma}{1-\cosh(2\alpha t)+2e^{\hat{\mu}}\cosh^{2}(\alpha t+\gamma)}\right)^{2/q} (64)

and the double-time generating function

𝒢μ(t1,t2)=eg2(t1,t2)/q=(eμ^/2cosh2γsinh(αt1)sinh(αt2)eμ^cosh(αt1+γ)cosh(αt2+γ))2/q,\begin{split}\mathcal{G}_{\mu}(t_{1},t_{2})=&\leavevmode\nobreak\ e^{g_{2}(t_{1},-t_{2})/q}\\ =&\leavevmode\nobreak\ \left(\frac{e^{\hat{\mu}/2}\cosh^{2}\gamma}{\sinh\left(\alpha t_{1}\right)\sinh\left(\alpha t_{2}\right)-e^{\hat{\mu}}\cosh\left(\alpha t_{1}+\gamma\right)\cosh\left(\alpha t_{2}+\gamma\right)}\right)^{2/q},\end{split} (65)

By taking the derivatives of 𝒢μ(t1,t2)\mathcal{G}_{\mu}(t_{1},t_{2}) with respect to t1,t2t_{1},t_{2} and μ-\mu, we can obtain the expectation values of ,\mathcal{L}^{\dagger},\,\mathcal{L} and nn respectively.

4.3 Loschmidt echo fidelity

Before calculating observable, we investigate the state |ψ1(t)\left|\psi_{1}(t)\right\rangle first. The generating function (64) at μ=0\mu=0 reduces to the (square root of) Loschmidt echo fidelity Yan:2019fbg ; Schuster:2022bot

𝒢0(t)=ψ1|etet|ψ1=(cosh2γ1+sinh(γ)sinh(2αt+γ))2/q.\displaystyle\mathcal{G}_{0}(t)=\left\langle\psi_{1}\right|e^{t\mathcal{L}^{\dagger}}e^{t\mathcal{L}}\left|\psi_{1}\right\rangle=\left(\frac{\cosh^{2}\gamma}{1+\sinh(\gamma)\sinh(2\alpha t+\gamma)}\right)^{2/q}. (66)

It measures the return amplitude for the state |ψ1\left|\psi_{1}\right\rangle, which has undergone a forward-backward evolution in the presence of the difference between the two Hamiltonians i+i=2iνni\mathcal{L}+i\mathcal{L}^{\dagger}=-2i\nu n. Contrary to the typical Loschmidt echo Gorin:2006loschmidt ; Goussev:2012loschmidt , the difference in this case is non-Hermitian. The Loschmidt echo fidelity decays exponentially as

𝒢0(t)[2eγcosh(γ)coth(γ)]2/qe4αt/q\mathcal{G}_{0}(t)\approx\left[2e^{-\gamma}\cosh(\gamma)\coth(\gamma)\right]^{2/q}e^{-4\alpha t/q} (67)

after a time

tp12αln4e2γ1,t_{p}\equiv\frac{1}{2\alpha}\ln\frac{4}{e^{2\gamma}-1}, (68)

which indicates the time when the state |ψ1(t)\left|\psi_{1}(t)\right\rangle becomes stable up to normalization. We call tpt_{p} the plateau time since most of the observable will become stable after this time, such as the operator size Schuster:2022bot and the Krylov complexity Bhattacharjee:2022lzy . At weak dissipation ν^/𝒥1\hat{\nu}/\mathcal{J}\ll 1, the plateau time reduces to

tp12𝒥ln𝒥ν^.t_{p}\approx\frac{1}{2\mathcal{J}}\ln\frac{\mathcal{J}}{\hat{\nu}}. (69)

This plateau time is similar to the Ehrenfest time in the unitary chaotic evolution Gorin:2006loschmidt ; Goussev:2012loschmidt . Recall the scrambling time t12𝒥lnNt_{*}\approx\frac{1}{2\mathcal{J}}\ln N in many-body chaotic systems, indicating the time when the local information spread over the system’s degree of freedom NN Sekino:2008scramblers ; Roberts:2014localized ; Shenker:2013yza ; Maldacena:2015waa ; Maldacena:2016remarks . The plateau time tpt_{p} could be comparable to the scrambling time tt_{*} if ν^/𝒥1/N\hat{\nu}/\mathcal{J}\sim 1/N.

As predicted by Jalabert:2001decoherence and observed in Schuster:2022bot , at weak dissipation, the decay rate of the Loschmidt echo (67) 4α/q4𝒥/q4\alpha/q\approx 4\mathcal{J}/q depends on the pure SYK Hamiltonian coupling but not on the dissipation strength ν^\hat{\nu}. While, at finite dissipation, the decay rate 4α/q4\alpha/q becomes dependent on ν^\hat{\nu}. Furthermore, at large qq, due to the 1/q1/q power in (66) and (67), the fidelity 𝒢0(t)\mathcal{G}_{0}(t) is of order 11 at the plateau time, decays extremely slowly, and becomes significantly lower than 11 only after the time q/αq/\alpha.

The double-time generating function (65) at μ=0\mu=0 reduces to the overlap between the states at different times without normalization. We can examine the normalized overlap probability

|ψ1(t1)|ψ1(t2)|2ψ1(t1)|ψ1(t1)ψ1(t2)|ψ1(t2)=|𝒢0(t1,t2)|2𝒢0(t1)𝒢0(t2)=[(cosh2(γ+αt1)sinh2(αt1))(cosh2(γ+αt2)sinh2(αt2))(cosh(γ+αt1)cosh(γ+αt2)sinh(αt1)sinh(αt2))2]2/q=[11γ2e2γ(e4αt1+e4αt22e2α(t1+t2))+]2/q,\begin{split}&\leavevmode\nobreak\ \frac{\left|\left\langle\psi_{1}(t_{1})|\psi_{1}(t_{2})\right\rangle\right|^{2}}{\left\langle\psi_{1}(t_{1})|\psi_{1}(t_{1})\right\rangle\left\langle\psi_{1}(t_{2})|\psi_{1}(t_{2})\right\rangle}=\frac{\left|\mathcal{G}_{0}(t_{1},t_{2})\right|^{2}}{\mathcal{G}_{0}(t_{1})\mathcal{G}_{0}(t_{2})}\\ =&\leavevmode\nobreak\ \left[\frac{\left(\cosh^{2}\left(\gamma+\alpha t_{1}\right)-\sinh^{2}\left(\alpha t_{1}\right)\right)\left(\cosh^{2}\left(\gamma+\alpha t_{2}\right)-\sinh^{2}\left(\alpha t_{2}\right)\right)}{\left(\cosh\left(\gamma+\alpha t_{1}\right)\cosh\left(\gamma+\alpha t_{2}\right)-\sinh\left(\alpha t_{1}\right)\sinh\left(\alpha t_{2}\right)\right){}^{2}}\right]^{2/q}\\ =&\leavevmode\nobreak\ \left[1-\frac{1}{\gamma^{2}}e^{-2\gamma}\left(e^{-4\alpha t_{1}}+e^{-4\alpha t_{2}}-2e^{-2\alpha\left(t_{1}+t_{2}\right)}\right)+\cdots\right]^{2/q},\end{split} (70)

which is close to 12/q1^{2/q} when both t1,t2tpt_{1},t_{2}\gg t_{p}. It means that the state |ψ1(t)\left|\psi_{1}(t)\right\rangle remains nearly unchanged up to normalization long after the plateau time tpt_{p}.

4.4 Size growth

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Figure 9: The operator size n[ψ1(t)]n[\psi_{1}(t)] and its “exponent” tlogn[ψ1(t)]/𝒥\partial_{t}\log n[\psi_{1}(t)]/\mathcal{J} as functions of time. The dimensionless plateau times are 𝒥tp(,5.8,4.6,3.5,2.3,1.2)\mathcal{J}t_{p}\approx\left(\infty,5.8,4.6,3.5,2.3,1.2\right) respectively.

We denote the expectation value of an operator OO in state |ψ1(t)\left|\psi_{1}(t)\right\rangle as
O=ψ1(t)|O|ψ1(t)/ψ1(t)|ψ1(t)\left\langle O\right\rangle=\left\langle\psi_{1}(t)\right|O\left|\psi_{1}(t)\right\rangle/\left\langle\psi_{1}(t)|\psi_{1}(t)\right\rangle. Plugging the generating function (64) into (12), we obtain the operator size

n[ψ1(t)]n=cosh(γ)cosh(2αt+γ)1+sinh(γ)sinh(2αt+γ).n[\psi_{1}(t)]\equiv\left\langle n\right\rangle=\frac{\cosh(\gamma)\cosh(2\alpha t+\gamma)}{1+\sinh(\gamma)\sinh(2\alpha t+\gamma)}. (71)

In Fig. 8, we show the behavior of the size n[ψ1(t)]n[\psi_{1}(t)] in the large qq limit.

For vanishing dissipation ν^=0\hat{\nu}=0, we have α=𝒥\alpha=\mathcal{J} and γ=0\gamma=0. The size reduces to the pure SYK case n[ψ1(t)]=cosh(2𝒥t)n[\psi_{1}(t)]=\cosh(2\mathcal{J}t) Roberts:2018operator .

For dissipation ν^>0\hat{\nu}>0, we always have n[ψ1(t)]cosh(2𝒥t)n[\psi_{1}(t)]\leq\cosh(2\mathcal{J}t) and the plateau value is n[ψ1()]=coth(γ)n[\psi_{1}(\infty)]=\coth(\gamma). For weak dissipation with ν^/𝒥1\hat{\nu}/\mathcal{J}\ll 1, the size n[ψ1(t)]n[\psi_{1}(t)] at different time scales behaves as

n[ψ1(t)]{1+2𝒥2t22ν^𝒥2t3,tν^/4𝒥12e2𝒥t12ν^𝒥e4𝒥t,1/2𝒥ttp2𝒥/ν^,tpt,n[\psi_{1}(t)]\approx\begin{cases}1+2\mathcal{J}^{2}t^{2}-2\hat{\nu}\mathcal{J}^{2}t^{3},&t\ll\hat{\nu}/4\mathcal{J}\\ \frac{1}{2}e^{2\mathcal{J}t}-\frac{1}{2}\frac{\hat{\nu}}{\mathcal{J}}e^{4\mathcal{J}t},&1/2\mathcal{J}\ll t\ll t_{p}\\ 2\mathcal{J}/\hat{\nu},&t_{p}\ll t\end{cases}, (72)

with the plateau time (68). So the dissipation reduces the growth rate as well as the plateau value. Only for weak dissipation ν^/𝒥1\hat{\nu}/\mathcal{J}\ll 1, the hierarchy between 1/2𝒥1/2\mathcal{J} and tpt_{p} is huge enough for the emergence of an exponential growth region, as shown in Fig. 9. From (72), the leading correction resulting from dissipation in the exponential growth region breaks the pure exponential behavior rather than modifying its exponent. The plateau value coth(γ)\coth(\gamma) approaches to 2𝒥/ν^2\mathcal{J}/\hat{\nu} at weak dissipation, as predicted in Schuster:2022bot . At strong dissipation ν^/𝒥1\hat{\nu}/\mathcal{J}\gg 1, the size ceases to grow, n[ψ1(t)]1n[\psi_{1}(t)]\approx 1.

For production ν^<0\hat{\nu}<0, the early time behavior of the size is still described by (72), whose growth rate is enhanced. But the size diverges at finite time

tdiv=12α[lncoth(γ2)γ],t_{\rm div}=\frac{1}{2\alpha}\left[\ln\coth\left(\frac{-\gamma}{2}\right)-\gamma\right], (73)

where γ<0\gamma<0. The size divergence should be regularized by finite NN effects, as shown in Fig. 5. After this time, (71) is not reliable.

4.5 Size distribution

To study the details of size growth, we calculate the size distribution. Expanding the generating function (64) according to (14) using the binomial theorem and normalizing the distribution, we obtain the size distribution

Pqm+1[ψ1(t)]Pqm+1(t)=(2/qm)(1)mθ(t)2m(1θ(t)2)2/q,m,P_{qm+1}[\psi_{1}(t)]\equiv P_{qm+1}(t)=\binom{-2/q}{m}(-1)^{m}\theta(t)^{2m}\left(1-\theta(t)^{2}\right)^{2/q},\quad m\in\mathbb{N}, (74)

where

θ(t)=sinh(αt)cosh(αt+γ)[0,eγ)\theta(t)=\frac{\sinh(\alpha t)}{\cosh(\alpha t+\gamma)}\in[0,e^{-\gamma}) (75)

and Pn[ψ1(t)]=0P_{n}[\psi_{1}(t)]=0 for nqm+1n\neq qm+1, due to the large-NN suppression of non-melonic diagrams and also the large qq limit Maldacena:2016remarks ; Gu:2016local ; Roberts:2018operator ; Qi:2018quantum . More precisely, the size with nonzero distribution should be (q2)m+1(q-2)m+1, but the 2-2 term is neglected in our discussion when considering large qq. We plot the distribution for n=qm+1n=qm+1 in the left panel of Fig. 10.

When ν^0\hat{\nu}\geq 0, the distribution in the long time limit converges to

Pqm+1[ψ1()]=(2/qm)(1)me2γm(1e2γ)2/q.P_{qm+1}[\psi_{1}(\infty)]=\binom{-2/q}{m}(-1)^{m}e^{-2\gamma m}\left(1-e^{-2\gamma}\right)^{2/q}. (76)

Unlike the pure SYK case, for which Pqm+1[ψ1()]=0P_{qm+1}[\psi_{1}(\infty)]=0 Qi:2018quantum , once we have dissipation ν^>0\hat{\nu}>0, the distribution Pqm+1[ψ1()]P_{qm+1}[\psi_{1}(\infty)] is finite in the long time limit. The dissipation also leads to the exponential decay Pqm+1[ψ1()]e2γmP_{qm+1}[\psi_{1}(\infty)]\sim e^{-2\gamma m} when mm is large enough.

Similarly, we can expand the double-time generating function (65) according to

𝒢μ(t1,t2)=𝒢0(t1,t2)neμnPn(t1,t2),Pn(t1,t2)ψ1(t1)|πn|ψ1(t2)ψ1(t1)|ψ1(t2)\mathcal{G}_{\mu}(t_{1},t_{2})=\mathcal{G}_{0}(t_{1},t_{2})\sum_{n}e^{-\mu n}P_{n}(t_{1},t_{2}),\quad P_{n}(t_{1},t_{2})\equiv\frac{\left\langle\psi_{1}(t_{1})\right|\pi_{n}\left|\psi_{1}(t_{2})\right\rangle}{\left\langle\psi_{1}(t_{1})|\psi_{1}(t_{2})\right\rangle} (77)

with normalization nPn(t1,t2)=1\sum_{n}P_{n}(t_{1},t_{2})=1 and get the double-time distribution

Pqm+1(t1,t2)=(2/qn)(1)m(θ(t1)θ(t2))m(1θ(t1)θ(t2))2/q,m,P_{qm+1}(t_{1},t_{2})=\binom{-2/q}{n}(-1)^{m}\left(\theta(t_{1})\theta(t_{2})\right)^{m}\left(1-\theta(t_{1})\theta(t_{2})\right)^{2/q},\quad m\in\mathbb{N}, (78)

and Pn(t1,t2)=0P_{n}(t_{1},t_{2})=0 for nqm+1n\neq qm+1. It measures the overlap between |ψ1(t1)\left|\psi_{1}(t_{1})\right\rangle and |ψ1(t2)\left|\psi_{1}(t_{2})\right\rangle in the size subspace qm+1\mathcal{H}_{qm+1} without state normalization. Its behavior is shown in the right panel of Fig. 10.

Refer to caption
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Figure 10: Operator size distribution Pn[ψ1(t)]P_{n}[\psi_{1}(t)] (left) and double-time distribution Pqm+1(t1,t2)P_{qm+1}(t_{1},t_{2}) (right) at q=96q=96 and ν^/𝒥=0.1\hat{\nu}/\mathcal{J}=0.1.

4.6 Operator size concentration

In this subsection, we prove the property of operator size concentration at finite dissipation in the large qq limit. The operator size concentration, proposed in Bhattacharjee:2022lzy ; Bhattacharjee:2023uwx , states that the state |ψ1(t)\left|\psi_{1}(t)\right\rangle can be expanded on a time-independent and orthonormal {|Om|m}\left\{\left|O_{m}\right\rangle|m\in\mathbb{N}\right\}, namely

𝒢0(t)1/2|ψ1(t)=m=0imφm(t)|Om,\mathcal{G}_{0}(t)^{-1/2}\left|\psi_{1}(t)\right\rangle=\sum_{m=0}i^{m}\varphi_{m}(t)\left|O_{m}\right\rangle, (79)

where the mm-th basis state |Om\left|O_{m}\right\rangle has size qm+1qm+1, i.e. |Omqm+1\left|O_{m}\right\rangle\in\mathcal{H}_{qm+1} with qm+1\mathcal{H}_{qm+1} the size subspace (11). The statement is nontrivial, because qm+1\mathcal{H}_{qm+1} has dimension (Nqm+1)\binom{N}{qm+1} and πqm+1|ψ1(t)\pi_{qm+1}\left|\psi_{1}(t)\right\rangle has to be localized in only one basis state |Om\left|O_{m}\right\rangle in qm+1\mathcal{H}_{qm+1} for all tt, where πqm+1\pi_{qm+1} is the projection operator of the size subspace qm+1\mathcal{H}_{qm+1}.

The operator size concentration was proved via constructing the basis from the (bi-)Lanczos algorithm in the large qq limit in Bhattacharjee:2022lzy ; Bhattacharjee:2023uwx . So the basis {|Om}\left\{\left|O_{m}\right\rangle\right\} is called the Krylov basis and the coefficients φm(t)\varphi_{m}(t) is the Krylov wave function. Alternatively, in this work, we will prove the operator size concentration via the generating functions without constructing the Krylov basis from an iterative algorithm.

Because Pn(t)=0P_{n}(t)=0 for nqm+1n\neq qm+1, we can expand |ψ1(t)=mπqm+1|ψ1(t)\left|\psi_{1}(t)\right\rangle=\sum_{m}\pi_{qm+1}\left|\psi_{1}(t)\right\rangle. So we expect |Omπqm+1|ψ1(t)\left|O_{m}\right\rangle\propto\pi_{qm+1}\left|\psi_{1}(t)\right\rangle. As we explained, the nontrivial task is to prove that πqm+1|ψ1(t)\pi_{qm+1}\left|\psi_{1}(t)\right\rangle is time-independent up to a normalization coefficient, in other words, to prove that πqm+1|ψ1(t1)\pi_{qm+1}\left|\psi_{1}(t_{1})\right\rangle and πqm+1|ψ1(t2)\pi_{qm+1}\left|\psi_{1}(t_{2})\right\rangle are linearly dependent for any t1,t2t_{1},t_{2}. By using (70)(74)(78), we find that their normalized overlap in the size subspace automatically equals 11, namely

ψ1(t1)|πqm+1|ψ1(t2)ψ1(t1)|πqm+1|ψ1(t1)ψ1(t2)|πqm+1|ψ1(t2)=𝒢0(t1,t2)Pqm+1(t1,t2)𝒢0(t1)Pqm+1(t1)𝒢0(t2)Pqm+1(t2)=1.\begin{split}&\leavevmode\nobreak\ \frac{\left\langle\psi_{1}(t_{1})\right|\pi_{qm+1}\left|\psi_{1}(t_{2})\right\rangle}{\sqrt{{\left\langle\psi_{1}(t_{1})\right|\pi_{qm+1}\left|\psi_{1}(t_{1})\right\rangle}{\left\langle\psi_{1}(t_{2})\right|\pi_{qm+1}\left|\psi_{1}(t_{2})\right\rangle}}}\\ =&\leavevmode\nobreak\ \frac{\mathcal{G}_{0}(t_{1},t_{2})P_{qm+1}(t_{1},t_{2})}{\sqrt{\mathcal{G}_{0}(t_{1})P_{qm+1}(t_{1})\mathcal{G}_{0}(t_{2})P_{qm+1}(t_{2})}}=1.\end{split} (80)

So we can simply choose the orthonormal basis state as

|Om=1imπqm+1|ψ1(t)ψ1(t)|πqm+1|ψ1(t),\left|O_{m}\right\rangle=\frac{1}{i^{m}}\frac{\pi_{qm+1}\left|\psi_{1}(t)\right\rangle}{\sqrt{\left\langle\psi_{1}(t)\right|\pi_{qm+1}\left|\psi_{1}(t)\right\rangle}}, (81)

which is time-independent in the large qq limit. Thus, the basis {|Om|m}\left\{\left|O_{m}\right\rangle|m\in\mathbb{N}\right\} with (81) satisfies all the above conditions of operator size concentration: time-independence, orthonormality, the ability to express |ψ1(t)\left|\psi_{1}(t)\right\rangle, and each state belongs to a different size subspace, which concludes our proof.

From this point of view, the operator size distribution Pqm+1(t)P_{qm+1}(t) is actually the transition probability from |ψ1\left|\psi_{1}\right\rangle to the orthonormal basis state |Om\left|O_{m}\right\rangle under the Lindbladian evolution for time tt. So the Krylov wave function is

φm(t)=Pqm+1(t).\varphi_{m}(t)=\sqrt{P_{qm+1}(t)}. (82)

We further find that the wave function satisfies the discrete Schrödinger equation in the bi-Lanczos algorithm Bhattacharya:2023zqt ; Bhattacharjee:2023uwx

tφm(t)=bmφm1(t)|am|φm(t)bm+1φm+1(t)\partial_{t}\varphi_{m}(t)=b_{m}\varphi_{m-1}(t)-\left|a_{m}\right|\varphi_{m}(t)-b_{m+1}\varphi_{m+1}(t) (83)

to the order of 1/q1/q with the Lanczos coefficients

am=iν^m,b0=0,b1=𝒥2/q,bm=𝒥m(m1)+𝒪(1/q),m2,a_{m}=i\hat{\nu}m,\quad b_{0}=0,\quad b_{1}=\mathcal{J}\sqrt{2/q},\quad b_{m}=\mathcal{J}\sqrt{m(m-1)+\mathcal{O}(1/q)},\ m\geq 2, (84)

except for m=0m=0, where the overall factor (1θ(t)2)2/q(1-\theta(t)^{2})^{2/q} in (74) needs a 𝒪(1/q)\mathcal{O}(1/q) correction to fulfill the equation for m=0m=0 at 1/q1/q order. Thus, {|Om}\left\{\left|O_{m}\right\rangle\right\} is the Krylov basis in the large-qq SYK model in Bhattacharjee:2022lzy . Due to the operator size concentration, the operator size n[ψ1(t)]n[\psi_{1}(t)] is related to the Krylov complexity K(t)K(t) by

qK(t)+1=m(qm+1)Pqm+1(t)=n[ψ1(t)]qK(t)+1=\sum_{m}(qm+1)P_{qm+1}(t)=n[\psi_{1}(t)] (85)

in the large qq limit. Also, we note that the operator size n[ψ1(t)]n[\psi_{1}(t)] is proportional to the connected part of the OTOC or the square of anti-commutator (t,0,t,0)\mathcal{F}(t,0,t,0) normalized by the two-point function Roberts:2018operator ; Qi:2018quantum . It is derived via the double-time generating function (65) as

12(t1,0,t2,0)\displaystyle\frac{1}{2}\mathcal{F}(t_{1},0,t_{2},0)\equiv 14jTr[{ψj,ψ1(t1)}{ψj,ψ1(t2)}]Tr[ψ1(t1)ψ1(t2)]=μln𝒢μ(t1,t2)|μ=0\displaystyle\leavevmode\nobreak\ \frac{1}{4}\sum_{j}\frac{\mathrm{Tr}[\left\{\psi_{j},\psi_{1}(t_{1})\right\}\left\{\psi_{j},\psi_{1}(t_{2})\right\}^{\dagger}]}{\mathrm{Tr}[\psi_{1}(t_{1})\psi_{1}(t_{2})^{\dagger}]}=-\partial_{\mu}\ln\mathcal{G}_{\mu}(t_{1},t_{2})|_{\mu=0}
=\displaystyle= cosh(γ)cosh(α(t1+t2)+γ)cosh(α(t1t2))+sinh(γ)sinh(α(t1+t2)+γ).\displaystyle\leavevmode\nobreak\ \frac{\cosh(\gamma)\cosh\left(\alpha\left(t_{1}+t_{2}\right)+\gamma\right)}{\cosh\left(\alpha\left(t_{1}-t_{2}\right)\right)+\sinh(\gamma)\sinh\left(\alpha\left(t_{1}+t_{2}\right)+\gamma\right)}. (86)

It can not be simply factorized into a form of eλL(t1+t2)f(t1t2)e^{\lambda_{L}(t_{1}+t_{2})}f(t_{1}-t_{2}) at finite dissipation even t1+t21/αt_{1}+t_{2}\gg 1/\alpha and |t1t2|1/α\left|t_{1}-t_{2}\right|\lesssim 1/\alpha, in contrast to the Hermitian case Gu:2018jsv ; Gu:2021xaj 222We thank the authors of Garcia-Garcia:2024tbd for helpful discussion..

The Krylov complexity and the normalized square of anti-commutator were calculated in the same Lindbladian SYK model as ours in the first-order perturbation theory with respect to ν^/𝒥\hat{\nu}/\mathcal{J} before, see (6.15) in Bhattacharjee:2022lzy and (7.21) in Bhattacharjee:2023uwx . As expected, their expressions coincide with our operator size in (71) at the leading-order in ν^/𝒥\hat{\nu}/\mathcal{J}. Moreover, the square of the wave function in the Krylov space in (6.10) in Bhattacharjee:2022lzy also coincides with our size distribution (74) at the leading-order 333 We thank the authors of Bhattacharjee:2023uwx , especially Pratik Nandy, for helpful discussion and clarification. .

4.7 Variances

We further investigate the quantum fluctuations of the size operator nn and two terms 𝒫,𝒳\mathcal{P},\mathcal{X} in the Liouvillian \mathcal{L} in (7) by calculating their variances. We define the deviation of operator OO from its expectation value as ΔO=OO\Delta O=O-\left\langle O\right\rangle. Using the generating function (64), we can calculate the size variance

Δn2[ψ1(t)]Δn2=μ2ln𝒢μ(t)|μ=0=q2ξ(t)2csch2γ,\Delta n^{2}[\psi_{1}(t)]\equiv\left\langle\Delta n^{2}\right\rangle=\left.\partial_{\mu}^{2}\ln\mathcal{G}_{\mu}(t)\right|_{\mu=0}=\frac{q}{2}\xi(t)^{2}\operatorname{csch}^{2}\gamma, (87)

where

ξ(t)=1𝒢0(t)q/2=1cosh2(γ)1+sinh(γ)sinh(2αt+γ){0,tγ/2α1,ttp.\xi(t)=1-\mathcal{G}_{0}(t)^{q/2}=1-\frac{\cosh^{2}(\gamma)}{1+\sinh(\gamma)\sinh(2\alpha t+\gamma)}\approx\begin{cases}0,&t\ll\gamma/2\alpha\\ 1,&t\gg t_{p}\\ \end{cases}. (88)

When ν^=0\hat{\nu}=0, ξ(t)\xi(t) vanishes. The size variance is very big compared to n[ψ1(t)]2n[\psi_{1}(t)]^{2} because of the factor qq in (87) due to fluctuations generated by qq-body interactions. When τ1/2α\tau\gg 1/2\alpha, the relative variance approaches the long time limit
Δn2[ψ1()]/n[ψ1()]2=(q/2)sech2γ\Delta n^{2}[\psi_{1}(\infty)]/n[\psi_{1}(\infty)]^{2}=(q/2)\operatorname{sech}^{2}\gamma.

Using the double-time generating function (65), we can calculate the expectation values of some combinations between ,,𝒫,𝒳\mathcal{L}^{\dagger},\mathcal{L},\mathcal{P},\mathcal{X}. The expectation values are given by

=\displaystyle\left\langle\mathcal{L}\right\rangle= t2ln𝒢0(t1,t2)|t1=t2=t=νn,\displaystyle\leavevmode\nobreak\ \partial_{t_{2}}\ln\mathcal{G}_{0}(t_{1},t_{2})|_{t_{1}=t_{2}=t}=-\nu\left\langle n\right\rangle, (89)
=\displaystyle\left\langle\mathcal{L}^{\dagger}\right\rangle= t1ln𝒢0(t1,t2)|t1=t2=t=,\displaystyle\leavevmode\nobreak\ \partial_{t_{1}}\ln\mathcal{G}_{0}(t_{1},t_{2})|_{t_{1}=t_{2}=t}=\left\langle\mathcal{L}\right\rangle, (90)
𝒫=\displaystyle\left\langle\mathcal{P}\right\rangle= i12=0,\displaystyle\leavevmode\nobreak\ i\frac{1}{2}\left\langle\mathcal{L}^{\dagger}-\mathcal{L}\right\rangle=0, (91)
𝒳=\displaystyle\left\langle\mathcal{X}\right\rangle= νn=.\displaystyle\leavevmode\nobreak\ -\nu\left\langle n\right\rangle=\left\langle\mathcal{L}\right\rangle. (92)

The variances of the Liouvilian are

ΔΔ=\displaystyle\left\langle\Delta\mathcal{L}^{\dagger}\Delta\mathcal{L}\right\rangle= t1t2ln𝒢0(t1,t2)|t1=t2=t=2q(1ξ(t))2𝒥2,\displaystyle\leavevmode\nobreak\ \left.\partial_{t_{1}}\partial_{t_{2}}\ln\mathcal{G}_{0}(t_{1},t_{2})\right|_{t_{1}=t_{2}=t}=\frac{2}{q}(1-\xi(t))^{2}\mathcal{J}^{2}, (93)
Δ2=\displaystyle\left\langle\Delta\mathcal{L}^{2}\right\rangle= t22ln𝒢0(t1,t2)|t1=t2=t=2q(ξ(t)21)𝒥2,\displaystyle\leavevmode\nobreak\ \left.\partial_{t_{2}}^{2}\ln\mathcal{G}_{0}(t_{1},t_{2})\right|_{t_{1}=t_{2}=t}=\frac{2}{q}(\xi(t)^{2}-1)\mathcal{J}^{2}, (94)
(Δ)2=\displaystyle\left\langle(\Delta\mathcal{L}^{\dagger})^{2}\right\rangle= t12ln𝒢0(t1,t2)|t1=t2=t=2q(ξ(t)21)𝒥2,\displaystyle\leavevmode\nobreak\ \left.\partial_{t_{1}}^{2}\ln\mathcal{G}_{0}(t_{1},t_{2})\right|_{t_{1}=t_{2}=t}=\frac{2}{q}(\xi(t)^{2}-1)\mathcal{J}^{2}, (95)

Notice that ΔΔ>0\left\langle\Delta\mathcal{L}^{\dagger}\Delta\mathcal{L}\right\rangle>0 and (Δ)2=Δ2<0\left\langle(\Delta\mathcal{L}^{\dagger})^{2}\right\rangle=\left\langle\Delta\mathcal{L}^{2}\right\rangle<0 always. When ν^=0\hat{\nu}=0, ΔΔ,Δ2\left\langle\Delta\mathcal{L}^{\dagger}\Delta\mathcal{L}\right\rangle,\left\langle\Delta\mathcal{L}^{2}\right\rangle and (Δ)2\left\langle(\Delta\mathcal{L}^{\dagger})^{2}\right\rangle reduce to (2/q)𝒥2,(2/q)𝒥2(2/q)\mathcal{J}^{2},-(2/q)\mathcal{J}^{2} and (2/q)𝒥2-(2/q)\mathcal{J}^{2} respectively. When ν^/𝒥>0\hat{\nu}/\mathcal{J}>0, they decay exponentially after the plateau time tpt_{p}. The relative variance of Liouvillian is huge Δ2/2𝒪(q1)\left\langle\Delta\mathcal{L}^{2}\right\rangle/\left\langle\mathcal{L}\right\rangle^{2}\sim\mathcal{O}(q^{1}). The moment of Liouvillian can be constructed as 2=Δ2+2=()2,=ΔΔ+\left\langle\mathcal{L}^{2}\right\rangle=\left\langle\Delta\mathcal{L}^{2}\right\rangle+\left\langle\mathcal{L}\right\rangle^{2}=\left\langle(\mathcal{L}^{\dagger})^{2}\right\rangle,\,\left\langle\mathcal{L}^{\dagger}\mathcal{L}\right\rangle=\left\langle\Delta\mathcal{L}^{\dagger}\Delta\mathcal{L}\right\rangle+\left\langle\mathcal{L}^{\dagger}\right\rangle\left\langle\mathcal{L}\right\rangle.

Finally, we list some useful results for later convenience.

Δ𝒫2=𝒫2=12()2+22𝒳2=2q𝒥2,\displaystyle\left\langle\Delta\mathcal{P}^{2}\right\rangle=\left\langle\mathcal{P}^{2}\right\rangle=-\frac{1}{2}\left\langle(\mathcal{L}^{\dagger})^{2}+\mathcal{L}^{2}-2\mathcal{X}^{2}\right\rangle=\frac{2}{q}\mathcal{J}^{2}, (96)
{Δ𝒳,iΔ𝒫}={𝒳,i𝒫}=122()2=0,\displaystyle\left\langle\left\{\Delta\mathcal{X},i\Delta\mathcal{P}\right\}\right\rangle=\left\langle\left\{\mathcal{X},i\mathcal{P}\right\}\right\rangle=\frac{1}{2}\left\langle\mathcal{L}^{2}-(\mathcal{L}^{\dagger})^{2}\right\rangle=0, (97)
[Δ𝒳,iΔ𝒫]=[𝒳,i𝒫]=𝒫2𝒳2=4qξ(t)𝒥2.\displaystyle\left\langle\left[\Delta\mathcal{X},i\Delta\mathcal{P}\right]\right\rangle=\left\langle\left[\mathcal{X},i\mathcal{P}\right]\right\rangle=\left\langle\mathcal{L}^{\dagger}\mathcal{L}-\mathcal{P}^{2}-\mathcal{X}^{2}\right\rangle=-\frac{4}{q}\xi(t)\mathcal{J}^{2}. (98)

It is surprising that Δ𝒫2\left\langle\Delta\mathcal{P}^{2}\right\rangle is independent of dissipation. Actually, we recognize Δ𝒫2\sqrt{\left\langle\Delta\mathcal{P}^{2}\right\rangle} as the b1b_{1} Lanczos coefficient in (84). The balance between these quantum fluctuations is crucial for understanding the emergence of classical dynamics in the next section.

5 Emergence of classical size growth

In Qi:2018quantum ; Schuster:2022bot , the authors constructed classical equations to describe the dynamics of the operator size growth phenomenologically. Since we have nearly all the information about the operator size growth in this Lindbladian SYK at large qq, we can show that the emergence of classical dynamics of operator size growth is due to the saturation of the uncertainty relation of size growth in quantum mechanics.

Following Schuster:2022bot , the growth rate of n\left\langle n\right\rangle can be written as

tn=n+nn+=i[n,𝒫]2νΔn2.\partial_{t}\left\langle n\right\rangle=\left\langle\mathcal{L}^{\dagger}n+n\mathcal{L}\right\rangle-\left\langle n\right\rangle\left\langle\mathcal{L}^{\dagger}+\mathcal{L}\right\rangle=i\left\langle[n,\mathcal{P}]\right\rangle-2\nu\left\langle\Delta n^{2}\right\rangle. (99)

The first term is the unitary term, and the second term is the dissipation term. Since both nn and 𝒫\mathcal{P} are Hermitian, they have the uncertainty relation

|[n,𝒫]|=|[Δn,Δ𝒫]|2Δn2Δ𝒫2.\left|\left\langle\left[n,\mathcal{P}\right]\right\rangle\right|=\left|\left\langle\left[\Delta n,\Delta\mathcal{P}\right]\right\rangle\right|\leq 2\sqrt{\left\langle\Delta n^{2}\right\rangle\left\langle\Delta\mathcal{P}^{2}\right\rangle}. (100)

Similar uncertainty relations are applied in Hornedal:2022pkc ; Bhattacharya:2024uxx . Since the size (71) never decreases, the unitary term in (99) should be non-negative. This yields a limit on the growth rate

tn2Δn2Δ𝒫22νΔn2.\partial_{t}\left\langle n\right\rangle\leq 2\sqrt{\left\langle\Delta n^{2}\right\rangle\left\langle\Delta\mathcal{P}^{2}\right\rangle}-2\nu\left\langle\Delta n^{2}\right\rangle. (101)

The uncertainty relation for the size operator and the Liouvillian is discussed in App. C.

The inequality (101) holds generically for the Liouvillian in the form of (7), independent of the microscopic details of the Hamiltonian HH. However, thanks to the large q,Nq,N limit of the Lindbladian SYK, we can check this inequality by comparing (87), (96) and (98). We find that the uncertainty relation is actually saturated, namely

[𝒳,i𝒫]=[Δ𝒳,iΔ𝒫]=2Δ𝒳2Δ𝒫2,\left\langle[\mathcal{X},i\mathcal{P}]\right\rangle=\left\langle[\Delta\mathcal{X},i\Delta\mathcal{P}]\right\rangle=-2\sqrt{\left\langle\Delta\mathcal{X}^{2}\right\rangle\left\langle\Delta\mathcal{P}^{2}\right\rangle}, (102)

where 𝒳=νn\mathcal{X}=-\nu n. The saturation of the Cauchy-Schwarz inequality means that states Δ𝒳|ψ1(t)\Delta\mathcal{X}\left|\psi_{1}(t)\right\rangle and Δ𝒫|ψ1(t)\Delta\mathcal{P}\left|\psi_{1}(t)\right\rangle are linearly dependent. By calculating Δ𝒳Δ𝒫\left\langle\Delta\mathcal{X}\Delta\mathcal{P}\right\rangle from the generating functions, we find that the linear coefficient is ξ(t)\xi(t) in (88), namely

Δ𝒳|ψ1(t)=ξ(t)iΔ𝒫|ψ1(t)or(𝒳+iξ(t)𝒫)|ψ1(t)=𝒳|ψ1(t).\Delta\mathcal{X}\left|\psi_{1}(t)\right\rangle=-\xi(t)i\Delta\mathcal{P}\left|\psi_{1}(t)\right\rangle\quad\text{or}\quad(\mathcal{X}+i\xi(t)\mathcal{P})\left|\psi_{1}(t)\right\rangle=\left\langle\mathcal{X}\right\rangle\left|\psi_{1}(t)\right\rangle. (103)

So |ψ1(t)\left|\psi_{1}(t)\right\rangle behaves like a coherent state of the time-dependent “annihilation operator” (ξ(t)1𝒳+i𝒫)(\xi(t)^{-1}\mathcal{X}+i\mathcal{P}), which consists of the “position” operator ξ(t)1𝒳\xi(t)^{-1}\mathcal{X} and the “momentum” operator 𝒫\mathcal{P}. The two operators follow the commutation relation in the bracket [ξ(t)1𝒳,𝒫]=i(4/q)𝒥2\left\langle[\xi(t)^{-1}\mathcal{X},\mathcal{P}]\right\rangle=i(4/q)\mathcal{J}^{2}, and have the time-independent variances ξ(t)2Δ𝒳2=Δ𝒫2=(2/q)𝒥2\left\langle\xi(t)^{-2}\Delta\mathcal{X}^{2}\right\rangle=\left\langle\Delta\mathcal{P}^{2}\right\rangle=(2/q)\mathcal{J}^{2}. From the asymptotic behavior of ξ(t)\xi(t) in (88), the operator (ξ(t)1𝒳+i𝒫)(\xi(t)^{-1}\mathcal{X}+i\mathcal{P}) interpolates between the size operator νnξ(t)1-\nu n\xi(t)^{-1} at early times and the Liouvillian \mathcal{L} at late times.

Coming back to the growth rate of the operator size, we find

tn=\displaystyle\partial_{t}\left\langle n\right\rangle= 2𝒥2/qΔn22νΔn2\displaystyle\leavevmode\nobreak\ 2\mathcal{J}\sqrt{2/q}\sqrt{\left\langle\Delta n^{2}\right\rangle}-2\nu\left\langle\Delta n^{2}\right\rangle (104)
=\displaystyle= 2𝒥rn(1ν^r2𝒥n)\displaystyle\leavevmode\nobreak\ 2\mathcal{J}r\left\langle n\right\rangle\left(1-\frac{\hat{\nu}r}{2\mathcal{J}}\left\langle n\right\rangle\right) (105)

where

r=2Δn2qn2=tanh(αt)[sech(γ)+sech(2αt+γ)]{2𝒥t,t1/𝒥1,t1/𝒥, when ν^/𝒥1.\begin{split}r=&\leavevmode\nobreak\ \sqrt{\frac{2\left\langle\Delta n^{2}\right\rangle}{q\left\langle n\right\rangle^{2}}}=\tanh(\alpha t)\left[\operatorname{sech}(\gamma)+\operatorname{sech}(2\alpha t+\gamma)\right]\\ \approx&\leavevmode\nobreak\ \begin{cases}2\mathcal{J}t,&t\ll 1/\mathcal{J}\\ 1,&t\gg 1/\mathcal{J}\end{cases},\quad\text{ when }\hat{\nu}/\mathcal{J}\ll 1.\end{split} (106)

The first line (104) indicates that the size’s growth rate is controlled by its variance in quantum mechanics. Specifically, the larger the size variance, the more the operator will fail to commute with the Hamiltonian, but the dissipation also becomes larger in the meantime. In total, the growth rate of the size (104) is determined by this interplay. If we recognize the factor 𝒥2/q\mathcal{J}\sqrt{2/q} as the b1b_{1} Lanczos coefficient in (84), then the first term in (104) could be identified as the saturated growth rate of Krylov complexity in Hornedal:2022pkc ; Bhattacharya:2024uxx .

In the second line (105), we derive the differential equation of operator size in Qi:2018quantum ; Schuster:2022bot . Following Qi:2018quantum , we could interpret (105) as the Susceptible-Infectious (SI) epidemic model with a stock of infected individuals n\left\langle n\right\rangle, a contact rate 2𝒥r2\mathcal{J}r, the total population 2𝒥/ν^r2\mathcal{J}/\hat{\nu}r, and no recovery. The total population 2𝒥/ν^r2\mathcal{J}/\hat{\nu}r in the SI model corresponds to an effective number of qubits in the Lindbladian SYK, controlling the steady state maximum operator size in (105), and taking the place of N/2N/2 in the pure SYK case. At weak dissipation ν^/𝒥1\hat{\nu}/\mathcal{J}\ll 1, the ratio rr converges to 11 much after 1/𝒥1/\mathcal{J}, which is still much early than the plateau time tp1𝒥ln𝒥ν^t_{p}\sim\frac{1}{\mathcal{J}}\ln\frac{\mathcal{J}}{\hat{\nu}}. So we can take the approximation r1r\approx 1 in the differential equation (105), solve it with the initial condition n(0)=1n(0)=1, and find the solution valid in the t1/𝒥t\gg 1/\mathcal{J} region

n(t)e2𝒥t1+ν^2𝒥(e2𝒥t1){e2𝒥t,1𝒥t1𝒥ln𝒥ν^2𝒥/ν^,1𝒥ln𝒥ν^tn(t)\approx\frac{e^{2\mathcal{J}t}}{1+\frac{\hat{\nu}}{2\mathcal{J}}\left(e^{2\mathcal{J}t}-1\right)}\approx\begin{cases}e^{2\mathcal{J}t},&\frac{1}{\mathcal{J}}\ll t\ll\frac{1}{\mathcal{J}}\ln\frac{\mathcal{J}}{\hat{\nu}}\\ 2\mathcal{J}/\hat{\nu},&\frac{1}{\mathcal{J}}\ln\frac{\mathcal{J}}{\hat{\nu}}\ll t\\ \end{cases} (107)

It is close to the exact expression (71) at weak dissipation, including the time scales (72).

6 Conclusion and outlook

6.1 Conclusion

We comprehensively studied the operator size growth of a single Majorana fermion in the Lindbladian SYK model with a linear jump operator for both finite dissipation and finite production. The operator size and distribution can be derived from the two-point function with the insertion of eνne^{-\nu n} in the path integral. The symmetries of the two-point function and the properties of the maximally entangled state greatly simplify the problem.

First, we used exact diagonalization to solve the model at finite NN and numerically solved the Schwinger-Dyson equation at infinite NN. We observed the slowdown (acceleration) of the operator size growth and the suppression (enhancement) of the size plateau due to the dissipation (production) introduced by the Lindblad terms with ν>0\nu>0 (ν<0\nu<0). Second, we analytically solved the Liouville equations in the large qq limit and obtained the expression for the Loschmidt echo fidelity, operator size, size distribution, and the variances of size and the Liouvillian. The plateau time is extracted from the analytical results given. The operator size exhibits a quadratic-exponential-plateau behavior at weak dissipation and the size distribution is localized at finite size. Third, we construct the time-independent orthogonal basis exhibiting operator size concentration. Fourth, we derive a growth rate limit on the operator size from an uncertainty relation and find that it is saturated at large qq, which gives rise to classical dynamics of operator growth with dissipation. Five, we study the size of operators at finite temperature, including n[etH[eβH/2]]n[e^{t\mathcal{L}_{H}}[e^{-\beta H/2}]] and n[etH[ψ1eβH/2]]n[e^{t\mathcal{L}_{H}}[\psi_{1}e^{-\beta H/2}]], at finite NN in App. B.

We formulated a self-consistent path integral for studying operator size in Lindblad-ian dynamics. Our approach does not depend on the weak dissipation limit and can be readily extended to other fermionic models and Lindblad operators. We analytically derived the operator size and distribution of a single Majorana fermion, a feature that was previously explored only at the leading-order perturbation in the dissipation strength in Schuster:2022bot ; Bhattacharjee:2022lzy ; Bhattacharjee:2023uwx . Additionally, we elucidated the reasons behind the emergence of the classical size growth in quantum mechanics.

6.2 Outlook

In this paper, we investigate a specific Lindbladian SYK model with single jump operators across different parameter regions, rather than deriving it from a microscopic model of an SYK system coupled with a bath. The operator growth in a SYK-plus-bath model is also an important question, and it can be compared with our results from the Lindbladian SYK model.

In Sec. 4.6, we constructed the orthogonal basis and proved the operator size concentr-ation via the path integral formalism rather than apply the (bi-)Lanczos algorithm Bhattacharjee:2022lzy ; Bhattacharjee:2023uwx . The square root of the size distribution coincides with the wave function in the Krylov basis and satisfies the same discrete Schrödinger equation. This implies that the Liouville equation (51) with the boundary conditions (59) is equivalent to the (bi-)Lanczos algorithm even at finite dissipation in the large qq limit. The detailed connection and realization of their equivalence deserves further investigation. For example, how to derive the Lanczos coefficients from the Liouville equation with boundary conditions? How to understand the saturated uncertainty relation from the Krylov space? We leave these important questions for future work.

Furthermore, we could study the sizes n[etH[eβH/2]]n[e^{t\mathcal{L}_{H}}[e^{-\beta H/2}]] and n[etH[ψ1eβH/2]]n[e^{t\mathcal{L}_{H}}[\psi_{1}e^{-\beta H/2}]] in the large NN limit, by writing down the path integral for the partition function at finite temperature 0|eβHL/2eteμneteβHL/2|0\left\langle 0\right|e^{-\beta H^{L}/2}e^{t\mathcal{L}^{\dagger}}e^{-\mu n}e^{t\mathcal{L}}e^{-\beta H^{L}/2}\left|0\right\rangle and solving the SD equation at finite qq or the Liouville equation at large qq. Now the whole time window [0,β+2t][0,\beta+2t] is divided into 44 analytical domains (0,β/2),(β/2,β/2+t),(β/2+t,β/2+2t),(β/2+2t,β+2t)(0,\beta/2),\,(\beta/2,\beta/2+t),\,(\beta/2+t,\beta/2+2t),\,(\beta/2+2t,\beta+2t). In this case, the simplification (27) does not work anymore. At large qq, one has to solve the Liouville equations for 44 components in 4×4×2=324\times 4\times 2=32 double time (τ1,τ2)(\tau_{1},\tau_{2}) domains separately and glue them together with some boundary conditions at τ1,2=0,β/2,β/2+t,β/2+2t,β+2t\tau_{1,2}=0,\beta/2,\beta/2+t,\beta/2+2t,\beta+2t and τ1=τ2\tau_{1}=\tau_{2}. By using symmetries, one may reduce the number of independent components and domains. But the task is still complicated and will be left for future work.

We only considered the Lindblad operator with the linear jump operator, which introduces a size gap in the spectrum of the Lindbladian. One may consider other kinds of Lindblad operators such as the random pp-body jump operators La=j1jpKj1jpaψj1ψjpL_{a}=\sum_{j_{1}\cdots j_{p}}K^{a}_{j_{1}\cdots j_{p}}\psi_{j_{1}}\cdots\psi_{j_{p}} Sa:2021tdr ; Kulkarni:2021gtt . We expect a spectrum in a lemon-like shape as predicted in Denisov:2018nif . These Lindblad operators are transformed into product terms of the left and right Lindblad operators in the Liouvillian, which play the role of the non-local and non-Hermitian double-trace deformation on the SYK model in the double-copy Hilbert space Jian:2017tzg . We expect to solve the resulting deformed Liouville equations at large qq and pp.

It is also interesting to compare the regular SYK dynamics and the Brownian SYK dynamics in the presence of the same Lindblad operator. A significant effect of the time-dependent disorder interaction in the Brownian SYK is the breaking of energy conservation. However, such an effect seems to be not so important in the Lindbladian, since the Lindblad dynamics already break the energy conservation even in the regular SYK model. Also, the time-dependent disorder in the Brownian SYK Hamiltonian will usually benefit the solvability of the operator size Zhang:2023BrownianSize .

Finally, the operator size in the SYK model is important in the SL(2,R) generator and the microscopic description of the volume of the AdS2 space Lin:2019symmetries ; Lensky:2020size ; Lin:2022rbf . The Lindbladian SYK model was proposed to be dual to a Keldysh wormhole Garcia-Garcia:2022adg . The operator size calculated in this paper probes the correlation in the dual spacetime. Here we alternatively suggest the investigation of the gravity duality of the dissipating thermofield-double state et|eβH/2e^{t\mathcal{L}}\left|e^{-\beta H/2}\right\rangle in the Nq2𝒥βνβ1N\gg q^{2}\gg\mathcal{J}\beta\gg\nu\beta\gg 1 and βt\beta\gg t limit. We expect the gravity duality to be the AdS2 wormhole deformed by double-trace terms between the two boundaries Maldacena:2001eternal ; Jian:2017tzg ; Maldacena:2018lmt ; Xian:2019qmt ; He:2021dhr , but with the imaginary sources Arean:2019pom ; Xian:2023zgu ; Chen:2023hra . From our numerical result, the decrease of size n[etH[eβH/2]]n[e^{t\mathcal{L}_{H}}[e^{-\beta H/2}]] implies the decrease of the spacetime distance between the two boundary trajectories traveling along the boost time. This will become more clear if the same Liouville equations (53) could be derived from the gravity side, similar to Maldacena:2018lmt ; Milekhin:2022bzx .

Acknowledgments

We are grateful to Budhaditya Bhattacharjee, Yu Chen, Antonio M. García-García, Hyun-Sik Jeong, Shao-Kai Jian, Changan Li, Pratik Nandy, Cheng Peng, Tanay Pathak, Jacobus J. M. Verbaarschot, Zhenbin Yang, Pengfei Zhang, and Jie-ping Zheng for helpful discussions. René Meyer and ZYX acknowledge funding by DFG through the Collaborative Research Center SFB 1170 ToCoTronics, Project-ID 258499086-SFB 1170, as well as by Germany’s Excellence Strategy through the Würzburg‐Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter ‐ ct.qmat (EXC 2147, project‐id 390858490). ZYX also acknowledges support from the National Natural Science Foundation of China under Grant No. 12075298.

Appendix A Keldysh contour

Alternatively, we can write the partition function (17) in the path integral along the Keldysh contour with s[0,2t1+2t2)s\in[0,2t_{1}+2t_{2}) Kulkarni:2021gtt ; Garcia-Garcia:2022adg , as shown in Fig. 1. Here we take t1=t2=tt_{1}=t_{2}=t for conciseness and introduce a real Grassmann variables χj(s)\chi_{j}(s) along the contour to unify ψjL(τ)\psi_{j}^{L}(\tau) and ψjR(τ)\psi_{j}^{R}(\tau)

χj(s)={ψjL(st),0s<2tiψjR(3ts),2ts<4t.\chi_{j}(s)=\begin{cases}\psi_{j}^{L}(s-t),&0\leq s<2t\\ i\psi_{j}^{R}(3t-s),&2t\leq s<4t\end{cases}. (108)

Now the boundary condition (19) becomes the ordinary continuious condition χj(2t)=χj(2t+)\chi_{j}(2t^{-})=\chi_{j}(2t^{+}) and anti-periodic condition χj(0+)=χj(4t)\chi_{j}(0^{+})=-\chi_{j}(4t^{-}) in the Keldysh contour. Replacing ψja(τ)\psi_{j}^{a}(\tau) with χj(s)\chi_{j}(s) in the action (20), we obtain

S=04tdsj[14χj(s)sχj(s)12(ν+μδ(st))(χj(s)χj(4ts)+1)]iqJ22qNq102tds1ds2j1jNsq(s12t)sq(s22t)χj1(s1)χjq(s1)χj1(s2)χjq(s2),\begin{split}-S=&\leavevmode\nobreak\ \int_{0}^{4t}{\rm d}s\sum_{j}\Big{[}-\frac{1}{4}\chi_{j}(s)\partial_{s}\chi_{j}(s)-\frac{1}{2}\left(\nu+\mu\delta(s-t)\right)(\chi_{j}(s)\chi_{j}(4t-s)+1)\Big{]}\\ &\leavevmode\nobreak\ -\frac{i^{q}J^{2}}{2qN^{q-1}}\int_{0}^{2t}{\rm d}s_{1}{\rm d}s_{2}\sum_{j_{1}\cdots j_{N}}\mathrm{sq}\left(\frac{s_{1}}{2t}\right)\mathrm{sq}\left(\frac{s_{2}}{2t}\right)\chi_{j_{1}}(s_{1})\cdots\chi_{j_{q}}(s_{1})\chi_{j_{1}}(s_{2})\cdots\chi_{j_{q}}(s_{2}),\end{split} (109)

where sq(x)\mathrm{sq}(x) is the square wave function of period 11. Similarly, we introduce the bi-local field

F(s1,s2)=1Njχj(s1)χj(s2)F(s_{1},s_{2})=\frac{1}{N}\sum_{j}\chi_{j}(s_{1})\chi_{j}(s_{2}) (110)

and S(s1,s2)S(s_{1},s_{2}) via the Lagrange multiplier method similar to (23). They unify the two 44-component fields GabG_{ab} and Σab\Sigma_{ab} on the time domains [t,t][-t,t] into two single-component fields FF and SS on the time domain [0,4t][0,4t] via

F(s1,s2)={GLL(s1t,s2t),0<s1<2t, 0<s2<2tiGRL(3ts1,s2t),2t<s1<4t, 0<s2<2tiGLR(s1t,3ts2),0<s1<2t, 2t<s2<4tGRR(3ts1,3ts2),2t<s1<4t, 2t<s2<4t,\displaystyle F(s_{1},s_{2})=, (111)
S(s1,s2)={ΣLL(s1t,s2t),0<s1<2t, 0<s2<2tiΣRL(3ts1,s2t),2t<s1<4t, 0<s2<2tiΣLR(s1t,3ts2),0<s1<2t, 2t<s2<4tΣRR(3ts1,3ts2),2t<s1<4t, 2t<s2<4t.\displaystyle S(s_{1},s_{2})=.

Then the boundary condition (25) for GabG_{ab} becomes the continuous condition and anti-periodic condition for FF

F(2t,s2)=F(2t+,s2),F(s1,2t)=F(s1,2t+),F(0+,s2)=F(4t,s2),F(s1,0+)=F(s1,4t).\begin{split}&F(2t^{-},s_{2})=F(2t^{+},s_{2}),\quad F(s_{1},2t^{-})=F(s_{1},2t^{+}),\\ &F(0^{+},s_{2})=-F(4t^{-},s_{2}),\quad F(s_{1},0^{+})=-F(s_{1},4t^{-}).\end{split} (112)

We further integrate out χj(s)\chi_{j}(s) and obtain the effective action

S/N=\displaystyle-S/N= 12logdet(2S)\displaystyle\frac{1}{2}\log\det\left(\partial-2S\right) (113)
1204tds1ds2[S(s1,s2)F(s1,s2)+sq(s12t)sq(s22t)J2qF(s1,s2)q]\displaystyle\leavevmode\nobreak\ -\frac{1}{2}\int_{0}^{4t}{\rm d}s_{1}{\rm d}s_{2}\left[S(s_{1},s_{2})F(s_{1},s_{2})+\mathrm{sq}\left(\frac{s_{1}}{2t}\right)\mathrm{sq}\left(\frac{s_{2}}{2t}\right)\frac{J^{2}}{q}F(s_{1},s_{2})^{q}\right]
1404tds(2ν+μδ(st))[sgn(2ts)(F(s,4ts)F(4ts,s))+2],\displaystyle-\frac{1}{4}\int_{0}^{4t}{\rm d}s\left(2\nu+\mu\delta(s-t)\right)\left[{\rm sgn}(2t-s)\left(F(s,4t-s)-F(4t-s,s)\right)+2\right],

So the 44-component SD equation are unified into a single-component SD equation

δ(s1s2)=\displaystyle\delta(s_{1}-s_{2})= 12s1F(s1,s2)04tds3S(s1,s3)F(s3,s2),\displaystyle\leavevmode\nobreak\ \frac{1}{2}\partial_{s_{1}}F(s_{1},s_{2})-\int_{0}^{4t}{\rm d}s_{3}S(s_{1},s_{3})F(s_{3},s_{2}), (114a)
S(s1,s2)=\displaystyle S(s_{1},s_{2})= sq(s12t)sq(s22t)J2F(s1,s2)q1\displaystyle\leavevmode\nobreak\ -\mathrm{sq}\left(\frac{s_{1}}{2t}\right)\mathrm{sq}\left(\frac{s_{2}}{2t}\right)J^{2}F(s_{1},s_{2})^{q-1}
+sgn(s1s2)(2ν+μδ(|s1s2|2t))δ(s1+s24t)\displaystyle\leavevmode\nobreak\ +{\rm sgn}(s_{1}-s_{2})\left(2\nu+\mu\delta(\left|s_{1}-s_{2}\right|-2t)\right)\delta(s_{1}+s_{2}-4t) (114b)

The unified SD equation is real, so we expect a real solution. One can solve this SD equation either numerically or analytically, following the same approach as outlined in the main text. The generating function (15) under the disorder average is equal to the specific two-point function

𝒢μ(t)=Zμ(t)F(2t,0).\mathcal{G}_{\mu}(t)=Z_{\mu}(t)F(2t,0). (115)

Appendix B Numerical result at finite temperature

Refer to caption
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Figure 11: Operator sizes n[ρ(t)]n[\sqrt{\rho}(t)] and n[(ψ1ρ)(t)]n[(\psi_{1}\sqrt{\rho})(t)] as functions of time. The parameters in the current and subsequent figures are all q=4q=4, N=10N=10, and β=10\beta=10.
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Figure 12: The size difference δn[ψ1(t)]\delta n[\psi_{1}(t)] and normalized size difference δn~[ψ1(t)]\delta\tilde{n}[\psi_{1}(t)] with ν>0\nu>0 at finite temperature.

In this appendix, we study the thermal operator growth in Lindbladian SYK model. We consider the initial operators ρ\sqrt{\rho} and ψ1ρ\psi_{1}\sqrt{\rho} with ρ=eβH\rho=e^{-\beta H}. Following the same numerical method in Subsec. 3.1, we construct their time evolution ρ(t)=etH[ρ]\sqrt{\rho}(t)=e^{t\mathcal{L}_{H}}[\sqrt{\rho}] and (ψ1ρ)(t)=etH[ψ1ρ](\psi_{1}\sqrt{\rho})(t)=e^{t\mathcal{L}_{H}}[\psi_{1}\sqrt{\rho}] under the Lindbladian (2) and calculate their sizes and distributions. The size growth n[ρ(t)]n[\sqrt{\rho}(t)] and n[(ψ1ρ)(t)]n[(\psi_{1}\sqrt{\rho})(t)] are shown in Fig. 12.

We further define the size difference and the normalized size difference

δn[ψ1(t)]n[(ψ1ρ)(t)]n[ρ(t)],\displaystyle\delta n[\psi_{1}(t)]\equiv n[(\psi_{1}\sqrt{\rho})(t)]-n[\sqrt{\rho}(t)], (116)
δn~[ψ1(t)]δn[ψ1(t)]12Nn[ρ(t)]\displaystyle\delta\tilde{n}[\psi_{1}(t)]\equiv\frac{\delta n[\psi_{1}(t)]}{1-\frac{2}{N}n[\sqrt{\rho}(t)]} (117)

with a normalization factor generalized from Qi:2018quantum , which could be interpreted as the effective operator size of a thermal Majorana fermion under the Lindbladian evolution. We plot both size differences in Fig. 12.

When ν>0\nu>0, n[ρ(t)]n[\sqrt{\rho}(t)] decreases to zero at the late times. n[(ψ1ρ)(t)]n[(\psi_{1}\sqrt{\rho})(t)] decreases first and then grows to a plateau lower than N/2N/2 at late times. This behavior could be understood as the competition between the dissipation on thermal state ρ\rho and the scrambling of fermion ψ1\psi_{1}. Such competition is visualized in the size difference δn[ψ1(t)]\delta n[\psi_{1}(t)], which grows and reaches a plateau. After the normalization, the scale of the thermal fermion size δn~[ψ1(t)]\delta\tilde{n}[\psi_{1}(t)] in the right panel of Fig. 12 is similar to the scale of the size of single fermion n[ψ1(t)]n[\psi_{1}(t)] in Fig. 5, which aligns with the pure SYK result in Qi:2018quantum .

When ν<0\nu<0, both n[ρ(t)]n[\sqrt{\rho}(t)] and n[(ψ1ρ)(t)]n[(\psi_{1}\sqrt{\rho})(t)] grow to a finite plateau greater than N/2N/2. The size difference δn[ψ1(t)]\delta n[\psi_{1}(t)] fluctuates at early times and becomes stable at late times. The normalization in δn~[ψ1(t)]\delta\tilde{n}[\psi_{1}(t)] fails since n[ρ(t)]n[\sqrt{\rho}(t)] can surpass N/2N/2, resulting in a singularity in (117).

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Figure 13: Some snapshots of size distribution Pn[ρ(t)]P_{n}[\sqrt{\rho}(t)].
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Figure 14: Some snapshots of size distribution Pn[(ψ1ρ)(t)]P_{n}[(\psi_{1}\sqrt{\rho})(t)].

Based on the fermion parity, Pn[ρ(t)]P_{n}[\sqrt{\rho}(t)] and Pn[(ψ1ρ)(t)]P_{n}[(\psi_{1}\sqrt{\rho})(t)] are nonzero only for even nns and odd nns respectively. Their size distributions are exhibited in Fig. 14 and Fig. 14.

When ν>0\nu>0, both Pn[ρ(t)]P_{n}[\sqrt{\rho}(t)] and Pn[(ψ1ρ)(t)]P_{n}[(\psi_{1}\sqrt{\rho})(t)] tend to concentrate on their lowest possible value after a long evolution. But due to the scrambling of fermion ψ1\psi_{1} in (ψ1ρ)(t)(\psi_{1}\sqrt{\rho})(t), it has nonzero distribution at n3n\geq 3 even at late times. Moreover, the distribution Pn[(ψ1ρ)(t)]P_{n}[(\psi_{1}\sqrt{\rho})(t)] in Fig. 14 presents the similar late time behavior with the distribution Pn[ψ1(t)]P_{n}[\psi_{1}(t)] in Fig 6. When ν<0\nu<0, both Pn[ρ(t)]P_{n}[\sqrt{\rho}(t)] and Pn[(ψ1ρ)(t)]P_{n}[(\psi_{1}\sqrt{\rho})(t)] are pushed to the region of large size at late times.

Appendix C Alternative saturated uncertainty relation

By using the Cauchy-Schwarz inequality and the hermicity of 𝒳,𝒫\mathcal{X},\mathcal{P}, we write the uncertainty relation in another form

Δ𝒳2ΔΔ|Δ𝒳Δ|2(12[𝒳,i𝒫]+Δ𝒳2)2=(12t𝒳)2.\left\langle\Delta\mathcal{X}^{2}\right\rangle\left\langle\Delta\mathcal{L}^{\dagger}\Delta\mathcal{L}\right\rangle\geq\left|\left\langle\Delta\mathcal{X}\Delta\mathcal{L}\right\rangle\right|^{2}\geq\left(\frac{1}{2}\left\langle[\mathcal{X},i\mathcal{P}]+\Delta\mathcal{X}^{2}\right\rangle\right)^{2}=\left(\frac{1}{2}\partial_{t}\left\langle\mathcal{X}\right\rangle\right)^{2}. (118)

The inequality connects the operator size growth to the standard variances of the Liouvillian and the operator size

tn2ΔΔΔn2.\partial_{t}\left\langle n\right\rangle\leq 2\sqrt{\left\langle\Delta\mathcal{L}^{\dagger}\Delta\mathcal{L}\right\rangle\left\langle\Delta n^{2}\right\rangle}. (119)

Comparing the expressions of each term on the two sides (71) (93) (87) in the large qq limit, we find that the inequality (119) is saturated. Actually, this condition stems from the property of the large qq solution at finite μ^\hat{\mu}

(μ^τg2(τ1,τ2))2+(τ1τ2g2(τ1,τ2))(μ^2g2(τ1,τ2))|τ+=0=0.\left.(\partial_{\hat{\mu}}\partial_{\tau_{-}}g_{2}(\tau_{1},\tau_{2}))^{2}+(\partial_{\tau_{1}}\partial_{\tau_{2}}g_{2}(\tau_{1},\tau_{2}))(\partial_{\hat{\mu}}^{2}g_{2}(\tau_{1},\tau_{2}))\right|_{\tau_{+}=0}=0. (120)

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