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aainstitutetext: Research Center for the Early Universe (RESCEU), Graduate School of Science,
The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo 113-0033, Japan

Superadiabatic basis in cosmological particle production: application to preheating

Abstract

We discuss the adiabatic basis dependence of particle number in time-dependent backgrounds. In particular, we focus on preheating after inflation, and show that, for the optimal basis, the time dependence of the produced particle number can be well approximated by a simple connection formula, which can be obtained by analysing Stokes phenomenon in given backgrounds. As we show explicitly, the simple connection formula can describe various parameter regions such as narrow and broad resonance regime in a unified manner.

preprint: RESCEU-12/21

1 Introduction

Physics in the early Universe would be effectively described by quantum field theory coupled to classical fields, such as the expanding Universe background. In particular, during or after inflation, classical inflaton field or possibly multiple fields also appear as such background fields. In the presence of time-dependent background, quantum fields coupled to them show nontrivial behavior that is absent for quantum fields in time-independent backgrounds. One of the most nontrivial properties is particle production from “vacuum” such as Sauter-Schwinger effect Sauter:1931zz ; Schwinger:1951nm and Hawking radiation Hawking:1974sw . Graviational particle production was also found in early works of Parker Parker:1969au ; Parker:1971pt . Understanding of such phenomenon would be interesting from theoretical as well as phenomenological viewpoints.

The particle production in time-dependent backgrounds is well understood as Stokes phenomenon, which is related to asymptotic behavior of functions. Such a viewpoint leads to a systematic approach to evaluate particle production in various models Dumlu:2010ua ; Dumlu:2010vv ; Li:2019ves ; Dumlu:2020wvd ; Hashiba:2020rsi ; Enomoto:2020xlf ; Taya:2020dco ; Hashiba:2021npn ; Sou:2021juh . In time-dependent backgrounds, we define “particles” or “vacuum” by specifying boundary conditions on mode functions, especially by defining positive and negative frequency modes, which are not uniquely determined unlike that in time-independent backgrounds. Due to the time-dependence of the effective frequency of each mode function, there is no unique way to separate positive and negative frequency modes. Nevertheless, we are able to define positive and negative frequency modes e.g. by the Wenzel-Kramers-Brillouin (WKB) method. Thus defined two modes in a particular time region will “mix” with each other by Stokes phenomenon, which is understood as “particle production”.111 For review of Stokes phenomenon, see e.g. Froman1 for mathematical details of Stokes phenomenon or Hashiba:2021npn , which also discusses applications to gravitational particle production. The Stokes phenomenon takes place when we cross the so-called Stokes lines, which separate the region where positive and negative frequency modes can be definite.222This point would be more clear in the context of exact WKB analysis. For exact WKB solutions, the Stokes line is the region where Borel sum is impossible. Therefore, one needs to consider analytic continuation of mode functions when crossing Stokes lines on the complex time plane. See e.g. Taya:2020dco for more detailed explanations of exact WKB analysis. In this work, we will use WKB or more generally the phase integral method Froman1 . The connection formula of positive and negative frequency modes at Stokes line crossing can be found in a very systematic way.

The notion of Stokes phenomenon can be understood from the asymptotic series. In cosmological context, it is also known as the adiabatic expansion, which is applied for regularization of ultraviolet divergences in time-dependent backgrounds Zeldovich:1971mw ; Parker:1974qw . In particular, in the analysis of asymptotics, Dingle found a smooth connection formula at Stokes line crossing Dingle and Berry derived it using partial Borel resummation Barry:1989zz . Berry also found that the smooth connection formula describes the behavior of solutions with the optimal adiabatic basis, called superadiabatic basis Dabrowski:2014ica ; Dabrowski:2016tsx . It was explicitly shown that indeed the solutions with the superadiabatic basis are well described by the Dingle-Berry formula Dabrowski:2014ica ; Dabrowski:2016tsx in the context of Sauter-Schwinger effects.

In this work, we discuss the (super)adiabatic basis in preheating. Preheating after inflation Kofman:1994rk ; Kofman:1997yn leads to explosive particle production from “vacuum”.333See also Amin:2014eta for a recent review on preheating. We first consider parametric resonance of a spectator scalar field coupled to an oscillating scalar field Dolgov:1989us ; Traschen:1990sw ; Kofman:1994rk ; Shtanov:1994ce ; Yoshimura:1995gc ; Kofman:1997yn , which captures the property of preheating. We emphasize that the purpose of this paper is not to understand preheating itself. The dynamics of preheating was comprehensively studied in the pioneering work by Kofman, Linde and Starobinsky Kofman:1997yn . Our interest is to give a different description of particle production in preheating from Stokes phenomenon viewpoints, which give us more systematic ways to analyse the particle production dynamics in various background field configurations. It is also important to explicitly show that the particle number defined by the superadiabatic basis can be well approximated by the Dingle-Berry’s error function formula. We would like to emphasize that our approach does not rely on the property of Mathieu equation, which plays important roles in understanding preheating.

One of our important results is that our approach gives a unified way to describe the narrow and broad parametric resonance. The former can be understood from perturbative effect with Bose enhancement, whereas the latter is non-perturbative in the coupling constant. Despite such a different parameter dependence, our analysis based on Stokes phenomenon captures both regime by just changing the parameters. This implies that Stokes phenomenon can describe both perturbative and non-perturbative particle production.

The rest of this paper is organized as follows. In Sec. 2, we would like to review adiabatic expansion discussed in Dabrowski:2016tsx , which seems less known in the context of cosmology. We also briefly discuss the relation between particle production and Stokes phenomenon, which is also important for determining the optimal adiabatic basis. In Sec. 3, we briefly discuss the relevance of the superadiabatic basis to physical quantities. In Sec. 4, we apply the superadiabatic basis and analysis of Stokes phenomenon to preheating and its toy models. These examples clarify the difference of the adiabatic basis and that the optimal adiabatic basis can be well approximated by the formula found by Dingle and Berry, or its extension shown in appendix A. Finally, we conclude in Sec. 5.

Throughout this work, we use the natural unit c=1,=1c=1,\hbar=1. The metric sign convention is (+++)(-+++).

2 Adiabatic basis: review

2.1 “standard” method

We review a commonly used definition of adiabatic vacuum, and will discuss its ambiguity in the next subsection. In this section, we will consider a scalar field with a time-dependent mass,

=12(χ)212m2(t)χ2,\displaystyle\mathcal{L}=-\frac{1}{2}(\partial\chi)^{2}-\frac{1}{2}m^{2}(t)\chi^{2}, (1)

and we Fourier expand the scalar field as

χ^(t,𝐱)=d3k(2π)32ei𝐤𝐱[a^𝐤vk(t)+a^𝐤vk(t)],\displaystyle\hat{\chi}(t,{\bf x})=\int\frac{d^{3}k}{(2\pi)^{\frac{3}{2}}}e^{{\rm i}{\bf k}\cdot{\bf x}}\left[\hat{a}_{\bf k}v_{k}(t)+\hat{a}_{-{\bf k}}^{\dagger}v^{*}_{k}(t)\right], (2)

where vk(t)v_{k}(t) is a mode function, a^𝐤\hat{a}_{\bf k} and a^𝐤\hat{a}_{\bf k}^{\dagger} are creation and annihilation operator, respectively, which satisfy [a𝐤,a𝐤]=δ3(𝐤𝐤)[a_{\bf k},a^{\dagger}_{{\bf k}^{\prime}}]=\delta^{3}({\bf k}-{\bf k}^{\prime}). The mode function vk(t)v_{k}(t) should follow the normalization condition,

vkv˙kv˙kvk=i,v_{k}\dot{v}_{k}^{*}-\dot{v}_{k}v_{k}^{*}=-{\rm i}, (3)

at any time tt. The mode equation is given by

v¨k+ωk2vk=0,\ddot{v}_{k}+\omega_{k}^{2}v_{k}=0, (4)

where ωk2=m2(t)+k2\omega_{k}^{2}=m^{2}(t)+k^{2}.

The WKB method is commonly used in order to estimate the particle production rate, where we choose the positive and the negative basis function to be

fk±=12ωkeit0tωk(t)𝑑t,f_{k}^{\pm}=\frac{1}{\sqrt{2\omega_{k}}}e^{\mp{\rm i}\int_{t_{0}}^{t}\omega_{k}(t^{\prime})dt^{\prime}}, (5)

where t0t_{0} is a reference time often taken to be t0t_{0}\to-\infty. With these basis functions, we can formally find the mode function to be

vk(t)=αk(t)fk++βk(t)fk.v_{k}(t)=\alpha_{k}(t)f_{k}^{+}+\beta_{k}(t)f_{k}^{-}. (6)

Here, the auxiliary functions αk(t)\alpha_{k}(t) and βk(t)\beta_{k}(t) satisfy

α˙k(t)\displaystyle\dot{\alpha}_{k}(t) =\displaystyle= ω˙k2ωke2it0tωk𝑑tβk(t),\displaystyle\frac{\dot{\omega}_{k}}{2\omega_{k}}e^{2{\rm i}\int_{t_{0}}^{t}\omega_{k}dt^{\prime}}\beta_{k}(t), (7)
β˙k(t)\displaystyle\dot{\beta}_{k}(t) =\displaystyle= ω˙k2ωke2it0tωk𝑑tαk(t),\displaystyle\frac{\dot{\omega}_{k}}{2\omega_{k}}e^{-2{\rm i}\int_{t_{0}}^{t}\omega_{k}dt^{\prime}}\alpha_{k}(t), (8)

so that the mode function (6) be the solution of the mode equation (4). Assuming m2(t)constm^{2}(t)\to\text{const} as t±t\to\pm\infty, we are able to define “particles” in both the future and past infinity.444We will consider the backgrounds that are not asymptotically static. In this sense, it would be better to call thus defined “vacuum” as instantaneous adiabatic vacuum.

Within this formalism, the specification of the vacuum corresponds to the choice of the boundary conditions on αk\alpha_{k} and βk\beta_{k}. The past adiabatic vacuum condition is

αk()=1,βk()=0.\alpha_{k}(-\infty)=1,\beta_{k}(-\infty)=0. (9)

From the future observer, the number density of the particle produced by the time variation of the mass is given by nk=|βk()|2n_{k}=|\beta_{k}(\infty)|^{2}. In most cosmological models, it is not always possible to assume m(t)2constm(t)^{2}\to{\rm const} as tt\to-\infty. In such a case, we need to impose conditions like (9) at some reference time t0t_{0}. As long as the total number density n(t)=d3k|βk(t)|2n(t)=\int d^{3}k|\beta_{k}(t)|^{2} is finite, thus defined instantaneous vacuum can have overlap with the vacuum at different time tt. In other words, if n(t)n(t) were not finite, such a vacuum state is not well defined Parker:1969au ; Fulling:1979ac .

When we only discuss the particle number at the future and past infinity where the particle number is definite, the commonly used WKB method is sufficient to estimate the produced particle number. However, if we are interested in the particle number at an intermediate time, we should be careful: One may think that nk(t)=|βk(t)|2n_{k}(t)=|\beta_{k}(t)|^{2} derived by solving (7) and (8) describes the particle number at a given time tt. However, the “particle number” at intermediate time depends on the choice of the basis function fk±f_{k}^{\pm}. As we will discuss below, the choice of the basis function is not unique, and in turn, the auxiliary functions αk(t)\alpha_{k}(t) and βk(t)\beta_{k}(t) are not uniquely determined.

2.2 Superadiabatic basis

Following Dabrowski:2014ica ; Dabrowski:2016tsx , we review more general definition of adiabatic vacuum. We use the following ansatz of the mode function

vk=12Wkeit0tWk𝑑t,v_{k}=\frac{1}{\sqrt{2W_{k}}}e^{-{\rm i}\int_{t_{0}}^{t}W_{k}dt^{\prime}}, (10)

where the function Wk(t)W_{k}(t) is an unspecified function. Substituting this ansatz to (4), we find the condition on Wk(t)W_{k}(t)

Wk2(t)=ωk2(t)[W¨k2Wk34(W˙kWk)2].W_{k}^{2}(t)=\omega_{k}^{2}(t)-\left[\frac{\ddot{W}_{k}}{2W_{k}}-\frac{3}{4}\left(\frac{\dot{W}_{k}}{W_{k}}\right)^{2}\right]. (11)

Finding the solution Wk(t)W_{k}(t) is equivalent to solve the mode equation exactly. However, it is impossible in general. Therefore, we will instead consider approximations: Let us assume adiabatic behavior of ωk\omega_{k} namely |ω˙k/ωk2|1|\dot{\omega}_{k}/\omega_{k}^{2}|\ll 1, which may be violated at some region. Assuming adiabaticity, we are able to solve the equation by iteration as

(Wk(j+1))2=ωk2[W¨k2Wk34(W˙kWk)2]|Wk=Wk(j),(W_{k}^{(j+1)})^{2}=\omega_{k}^{2}-\left[\frac{\ddot{W}_{k}}{2W_{k}}-\frac{3}{4}\left(\frac{\dot{W}_{k}}{W_{k}}\right)^{2}\right]\Biggr{|}_{W_{k}=W_{k}^{(j)}}, (12)

where j=0,1,2,j=0,1,2,\cdots with Wk(0)=ωkW_{k}^{(0)}=\omega_{k} as the lowest solution. At the (j+1)(j+1)-th order, one has to take the terms containing at most 2(j+1)2(j+1) time derivatives. For example, the first order is given by

(Wk(1))2=ωk2[ω¨k2ωk34(ω˙kωk)2].(W_{k}^{(1)})^{2}=\omega_{k}^{2}-\left[\frac{\ddot{\omega}_{k}}{2\omega_{k}}-\frac{3}{4}\left(\frac{\dot{\omega}_{k}}{\omega_{k}}\right)^{2}\right]. (13)

This is known as adiabatic expansion, which is often used to regularize the UV divergence in time dependent background such as expanding Universe Zeldovich:1971mw ; Parker:1974qw . This can be thought of the generalization of the WKB approximation, which corresponds to the 0-th order in the adiabatic expansion. It is known that the adiabatic expansion is asymptotic series, namely the series does not converge. Therefore, we need to truncate the series at the optimal order. The optimal order can be estimated by the phase integral along the turning points as shown in appendix A. For derivation of the estimate, we refer Barry:1989zz ; Li:2019ves ; Sou:2021juh .

For any adiabatic order, we are able to construct the solution of the mode equation with the help of auxiliary functions as we showed in the previous section. Let us take the jj-th order, and we formally write the mode function as

vk(t)=αk(t)fk+(j)+βk(t)fk(j),v_{k}(t)=\alpha_{k}(t)f^{+(j)}_{k}+\beta_{k}(t)f_{k}^{-(j)}, (14)

where

fk±(j)12Wk(j)exp[it0tWk(j)𝑑t]f_{k}^{\pm(j)}\equiv\frac{1}{\sqrt{2W_{k}^{(j)}}}\exp\left[\mp{\rm i}\int_{t_{0}}^{t}W_{k}^{(j)}dt^{\prime}\right] (15)

are the jj-th order basis functions and αk(t)\alpha_{k}(t) and βk(t)\beta_{k}(t) are unspecified auxiliary functions, which play the role of the Bogoliubov coefficients. We require the first time-derivative of vkv_{k} to be

v˙k(t)=(iWk(j)+Vk)αkfk+(j)+(iWk(j)+Vk)βkfk(j),\dot{v}_{k}(t)=(-{\rm i}W_{k}^{(j)}+V_{k})\alpha_{k}f_{k}^{+(j)}+({\rm i}W_{k}^{(j)}+V_{k})\beta_{k}f_{k}^{-(j)}, (16)

where Vk(t)V_{k}(t) is a real function of time. We can easily check that the normalization condition vkv¯˙kv˙kv¯k=iv_{k}\dot{\bar{v}}_{k}-\dot{v}_{k}\bar{v}_{k}={\rm i} is satisfied if |αk(t)|2|βk(t)|2=1|\alpha_{k}(t)|^{2}-|\beta_{k}(t)|^{2}=1 independently of the real function Vk(t)V_{k}(t). Therefore, Vk(t)V_{k}(t) is another ambiguity of the definition of the basis function. The “natural choice” of this degree of freedom is proposed in Dabrowski:2016tsx as Vk=W˙k(j)2Wk(j)V_{k}=-\frac{\dot{W}_{k}^{(j)}}{2W_{k}^{(j)}}.

In order for αk(t)\alpha_{k}(t) and βk(t)\beta_{k}(t) to satisfy (16) and the mode equation, the evolution equations of αk\alpha_{k} and βk\beta_{k} should be

(α˙k(t)β˙k(t))=(δk(Δk+δk)e2it0tWk(j)𝑑t(Δkδk)e2it0tWk(j)𝑑tδk)(αk(t)βk(t)),\left(\begin{array}[]{c}\dot{\alpha}_{k}(t)\\ \dot{\beta}_{k}(t)\end{array}\right)=\left(\begin{array}[]{cc}\delta_{k}&(\Delta_{k}+\delta_{k})e^{2{\rm i}\int_{t_{0}}^{t}W_{k}^{(j)}dt^{\prime}}\\ (\Delta_{k}-\delta_{k})e^{-2{\rm i}\int_{t_{0}}^{t}W_{k}^{(j)}dt^{\prime}}&-\delta_{k}\end{array}\right)\left(\begin{array}[]{c}\alpha_{k}(t)\\ \beta_{k}(t)\end{array}\right), (17)

where

δk\displaystyle\delta_{k} \displaystyle\equiv 12iWk(j)(ωk2(Wk(j))2+V˙k+Vk2),\displaystyle\frac{1}{2{\rm i}W_{k}^{(j)}}(\omega_{k}^{2}-(W^{(j)}_{k})^{2}+\dot{V}_{k}+V_{k}^{2}), (18)
Δk\displaystyle\Delta_{k} \displaystyle\equiv W˙k(j)2Wk(j)+Vk.\displaystyle\frac{\dot{W}_{k}^{(j)}}{2W_{k}^{(j)}}+V_{k}. (19)

Here, we have left VkV_{k} in a general form, and the “standard” WKB formula discussed in the previous section corresponds to the choice Vk(t)=0V_{k}(t)=0 with Wk(0)=ωk(t)W_{k}^{(0)}=\omega_{k}(t). The natural choice Vk=W˙k(j)2Wk(j)V_{k}=-\frac{\dot{W}_{k}^{(j)}}{2W_{k}^{(j)}} simplifies the expression because Δk=0\Delta_{k}=0. The simplified differential equations for the Bogoliubov coefficients are

(α˙k(t)β˙k(t))=δk(1e2it0tWk(j)𝑑te2it0tWk(j)𝑑t1)(αk(t)βk(t)),\left(\begin{array}[]{c}\dot{\alpha}_{k}(t)\\ \dot{\beta}_{k}(t)\end{array}\right)=\delta_{k}\left(\begin{array}[]{cc}1&e^{2{\rm i}\int_{t_{0}}^{t}W_{k}^{(j)}dt^{\prime}}\\ -e^{-2{\rm i}\int_{t_{0}}^{t}W_{k}^{(j)}dt^{\prime}}&-1\end{array}\right)\left(\begin{array}[]{c}\alpha_{k}(t)\\ \beta_{k}(t)\end{array}\right), (20)

and one can easily confirm that the condition |αk(t)|2|βk(t)|2=1|\alpha_{k}(t)|^{2}-|\beta_{k}(t)|^{2}=1 is satisfied at any time tt.

As explicitly seen from the discussion so far, the definition of the basis function or equivalently (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)) is indeed ambiguous. We may interpret this ambiguity as follows. The choice of basis functions is the definition of energy quantum, which accordingly defines a “particle”. Since the time translation invariance is broken by the background field, we have no unique choice of the energy quanta defining particles. Nevertheless, the optimal choice of the “energy” quantum would give us the optimal definition of a “particle”. We may summarize the construction so far as follows. First, we need to define the energy quantum, namely, need to choose the adiabatic order of Wk(j)W_{k}^{(j)}. This is yet insufficient to define a particle. The ambiguity comes from the first order derivative χ˙\dot{\chi}. We have a real function degree of freedom Vk(t)V_{k}(t), which determines the first order differential equation of the auxiliary functions αk(t)\alpha_{k}(t) and βk(t)\beta_{k}(t). Once we fix the real function Vk(t)V_{k}(t), an “adiabatic particle” is defined. The adiabatic vacuum state corresponds to the boundary conditions for αk,βk\alpha_{k},\beta_{k}.

We also note that in Dabrowski:2016tsx it is shown that there are several approaches to obtain adiabatic particle spectra, Klein-Gordon equation, Ermakov-Milne equation, Riccati equation, and spectral function approach. The authors of Dabrowski:2016tsx show the equivalence between them. In the following discussion, we will take the Klein-Gordon equation approach, which is more commonly used to discuss e.g. particle production.555For numerical simulations, Ermakov-Milne equation seems useful, and we review it in appendix B. Nevertheless, the equivalence shown in Dabrowski:2016tsx ensures any approach gives the same result.

Refer to caption
Figure 1: Schematic picture of Stokes phenomenon. Turning points are denoted by red dots, and the Stokes lines (blue lines) emanate from each turning point. Stokes lines cross the real axis, which corresponds to particle production “events”. When crossing Stokes lines, (αk,βk)(\alpha_{k},\beta_{k}) change, which can be effectively described by multiplications of matrix MiM_{i}.

2.3 Stokes phenomenon and particle production

In this section, we briefly review the Stokes phenomenon and its relation to particle production. We refer Froman1 for more details of Stokes phenomenon and WKB/phase integral methods (see also Hashiba:2021npn ). Instead of a general review of Stokes phenomena, we will explain how to evaluate the connection formula associated with Stokes phenomenon in the next section within simple examples. The explanation here is rather abstract.

The particle production caused by time-dependent backgrounds can be understood from asymptotic behavior of mode functions. In order to understand the asymptotic behavior, the WKB method or more generally the phase integral method is quite useful. For a given mode equation, the analytic property of solutions is characterized by ωk2(t)\omega_{k}^{2}(t). The behavior of the solution on complex tt-plane significantly changes around turning points tct_{c} at which the frequency vanishes ωk2(tc)=0\omega_{k}^{2}(t_{c})=0. From turning points, Stokes lines emanate, on which itωk𝑑t{\rm i}\int^{t}\omega_{k}dt is real. On the stokes line, the mode function e±iωk𝑑te^{\pm{\rm i}\int\omega_{k}dt} increases or decreases significantly. Such lines ends up at poles of ωk\omega_{k}, different turning points or infinity. Thus, Stokes lines separate the complex plane into several pieces. When we consider analytic continuation of basis functions from one region to another separated by Stokes lines, the analytic continuation leads to non-trivial mixing between positive and negative frequency modes, which may give rise to nonvanishing βk\beta_{k} even if we take βk=0\beta_{k}=0 namely an adiabatic vacuum condition at an initial time. See Fig. 1. The nontrivial mixing between positive and negative frequency basis functions is what we call Stokes phenomenon.666In Fig. 1, we describe the Stokes phenomenon by multiplication of matrices on αk,βk\alpha_{k},\beta_{k}. This is equivalent to mixing of positive and negative frequency modes. Even if turning points do not appear on real tt-axis, Stokes lines cross real tt-axis and therefore Stokes phenomenon, or equivalently, “particle production” necessarily takes place.

The adiabatic expansion is in general an asymptotic series, namely the series does not converge. Therefore, it is not mathematically well-defined. In order to have a meaningful solution, we may consider Borel transformation of adiabatic series, which gives well-defined convergent solutions. Such an analysis is known as exact WKB analysis. (See Taya:2020dco and references therein.) From exact WKB analysis viewpoints, the Stokes line corresponds to the place where the series are not Borel summable, and therefore the exact WKB solution is discontinuous on Stokes lines. Therefore, one needs to consider analytic continuations of solutions when crossing Stokes lines. The analytic continuation gives non-trivial mixing of positive and negative frequency solutions as mentioned above.

Berry applied partial Borel resummation technique to later terms of the adiabatic expansion and showed a smooth connection formula of βk\beta_{k} around the Stokes line crossing Barry:1989zz , which turn out to be a good analytical formula describing the “time-dependent particle numbers” Dabrowski:2014ica ; Dabrowski:2016tsx . We summarize the formula in Appendix A without derivations, and refer to Berry’s original paper Barry:1989zz for the derivation. (See also recent papers Li:2019ves ; Sou:2021juh .)

3 Physical relevance of adiabatic basis choices

In this section, we briefly discuss how the choice of adiabatic basis affects physical quantities. If we are only interested in the final value of physical quantities, we are able to evaluate it via (αk(),βk())(\alpha_{k}(\infty),\beta_{k}(\infty)), which is independent of the basis choice. On the other hand, in order to know the time evolution of physical quantities such as energy density at intermediate time, we need to solve the evolution equation of (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)). The important point is that for the superadiabatic basis, αk(t)\alpha_{k}(t) and βk(t)\beta_{k}(t), we are able to apply Dingle-Berry’s approximate formula. It would mean that we are able to obtain an approximation for physical quantities written in terms of basis functions and (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)). Besides that, “optimal” particle picture would be useful if we are interested in “scattering events” on time-dependent backgrounds.777Strictly speaking, it would be difficult to discuss particle scattering events in time-dependent backgrounds as the case of Minkowski spacetime, since asymptotic freeness and completeness are absent in time-dependent backgrounds. Nevertheless, with optimal adiabatic particle, we would be able to have e.g. correct quantum kinetic equations or Boltzmann equations in a given time dependent backgrounds.

Let us show the dependence of the adiabatic basis on physical quantities. For concreteness, hereafter we will focus on the following model:

S=d4xg[12(ϕ)V(ϕ)12(χ~)2(m22+λ2h(ϕ))χ~2],S=\int d^{4}x\sqrt{-g}\left[-\frac{1}{2}(\partial\phi)-V(\phi)-\frac{1}{2}(\partial\tilde{\chi})^{2}-\left(\frac{m^{2}}{2}+\frac{\lambda}{2}h(\phi)\right)\tilde{\chi}^{2}\right], (21)

where ϕ\phi and χ~\tilde{\chi} denote real scalar fields, V(ϕ)V(\phi), h(ϕ)h(\phi) are functions of ϕ\phi, mm is the mass of χ\chi, and λ\lambda and gg denote real coupling constants. In the following discussion, we will regard ϕ\phi and metric as the homogeneous background classical field ϕ=ϕ(t),gμν=gμν(t)\phi=\phi(t),\ g_{\mu\nu}=g_{\mu\nu}(t) and ignore its fluctuations around the background. We take the background geometry to be flat Friedman-Robertson-Walker (FRW) spacetime ds2=dt2+a2(t)d𝐱2ds^{2}=-dt^{2}+a^{2}(t)d{\bf x}^{2}, where a(t)a(t) is the scale factor. On this background, the canonical quantum field χ^a3/2χ~^\hat{{\chi}}\equiv a^{3/2}\hat{\tilde{\chi}} can be expanded as

χ^=d3k(2π)3/2ei𝐤𝐱[a^𝐤vk(t)+a^𝐤vk(t)],\hat{\chi}=\int\frac{d^{3}k}{(2\pi)^{3/2}}e^{{\rm i}{\bf k}\cdot{\bf x}}[\hat{a}_{\bf k}v_{k}(t)+\hat{a}_{-{\bf k}}^{\dagger}v^{*}_{k}(t)], (22)

where the mode function vkv_{k} satisfies

v¨k+ωk2vk=0,\ddot{v}_{k}+\omega_{k}^{2}v_{k}=0, (23)

where

ωk2=k2a2+m2+λh(ϕ)+9H243H˙2,\omega_{k}^{2}=\frac{k^{2}}{a^{2}}+m^{2}+\lambda h(\phi)+\frac{9H^{2}}{4}-\frac{3\dot{H}}{2}, (24)

and H=a˙/aH=\dot{a}/a. We normalize mode functions as (3). We decompose the mode functions as (14), namely, we take jj-th order adiabatic expansion.

Since we consider a free field, all the physical quantity are simply given by two point functions, or equivalently the products of mode functions. The energy density of χ\chi is given by

ρχ=\displaystyle\langle\rho_{\chi}\rangle= 12χ~^˙2+12a2(iχ~^)2+12(m2+λh(ϕ))χ~^2\displaystyle\left\langle\frac{1}{2}\dot{\hat{\tilde{\chi}}}^{2}+\frac{1}{2a^{2}}(\partial_{i}\hat{\tilde{\chi}})^{2}+\frac{1}{2}(m^{2}+\lambda h(\phi))\hat{\tilde{\chi}}^{2}\right\rangle
=\displaystyle= 12a3χ^˙2+12a5(iχ^)2+12a3(m2+λh(ϕ)+9H243H˙2)χ^2.\displaystyle\left\langle\frac{1}{2a^{3}}\dot{\hat{\chi}}^{2}+\frac{1}{2a^{5}}(\partial_{i}{\hat{\chi}})^{2}+\frac{1}{2a^{3}}\left(m^{2}+\lambda h(\phi)+\frac{9H^{2}}{4}-\frac{3\dot{H}}{2}\right)\hat{\chi}^{2}\right\rangle. (25)

These expectation values can be expressed by the background quantities and vkv_{k}. Since we are able to reexpress vkv_{k} by the basis function and (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)), the energy density can be evaluated as

ρχ=12a3d3k(2π)3[12Wk(j)(|Qk|2+ωk2)+|βk|2Wk(j)(|Qk|2+ωk2)+(αkβ¯k(fk+(j))2(Q2+ωk2)+h.c.)],\langle\rho_{\chi}\rangle=\frac{1}{2a^{3}}\int\frac{d^{3}k}{(2\pi)^{3}}\biggl{[}\frac{1}{2W_{k}^{(j)}}(|Q_{k}|^{2}+\omega_{k}^{2})+\frac{|\beta_{k}|^{2}}{W_{k}^{(j)}}(|Q_{k}|^{2}+\omega_{k}^{2})+\left(\alpha_{k}\bar{\beta}_{k}(f^{+(j)}_{k})^{2}(Q^{2}+\omega_{k}^{2})+{\rm h.c.}\right)\biggr{]}, (26)

where QkiWk(j)+VkQ_{k}\equiv-{\rm i}W_{k}^{(j)}+V_{k} and we have used the normalization condition |αk|2|βk|2=1|\alpha_{k}|^{2}-|\beta_{k}|^{2}=1.

Let us understand the meaning of terms in (26). The first term of (26) has no dependence on αk\alpha_{k} or βk\beta_{k}, and we can interpret it as vacuum contribution to the energy density. Indeed, if we take the WKB choice Wk(j)=ωk,Vk=0W_{k}^{(j)}=\omega_{k},\ V_{k}=0 and static limit ωkconst,a(t)=1\omega_{k}\to{\rm const},a(t)=1, we find the vacuum energy ρ(2π)3d3kωk/2\rho\sim(2\pi)^{-3}\int d^{3}k\omega_{k}/2. This contribution needs to be renormalized by appropriate methods as usual. One of the standard methods would be adiabatic regularization Zeldovich:1971mw ; Parker:1974qw , where we subtract the divergent quantities evaluated with the local adiabatic vacuum state with some order of the adiabatic expansion. For example, in order to renormalize energy density ρ\rho, one needs to subtract energy density calculated with the 4-th order adiabatic expansion with αk=1,βk=0\alpha_{k}=1,\ \beta_{k}=0 Parker:1974qw . Physically speaking, this procedure means that we subtract locally defined vacuum contribution.888For more details of the adiabatic regularization, see e.g. Parker:2009uva . We also note that commonly used definition of the adiabatic expansion order jj^{\prime} is different from what we refer as the adiabatic order jj. Their relation is j=2jj^{\prime}=2j. Since βk(t)\beta_{k}(t) is determined by Stokes phenomenon, which is related to the global structure of ωk(t)\omega_{k}(t), local counterterms cannot remove the terms containing βk\beta_{k}, whereas the vacuum energy renormalization is possible since it is the subtraction of “local” contribution of microscopic modes.999As we mentioned above, for the adiabatic regularization, we calculate the vacuum contribution by evaluating physical quantities with αk=1,βk=0\alpha_{k}=1,\beta_{k}=0. Therefore, the renormalization procedure does not change terms including βk(t)\beta_{k}(t). This is the reason why we will focus on the terms in (27). The renormalized vacuum contribution depends on the renormalization condition we impose, and therefore we will not discuss the vacuum contribution in the following discussion.

Next, we focus on the rest of (26), which would be meaningful almost independently of the renormalization schemes since βk\beta_{k} is related to the particle production. We call this contribution as ρχnp\langle\rho_{\chi}\rangle_{\rm np}, namely

ρχnp=12a3d3k(2π)3[|βk|2Wk(j)(|Qk|2+ωk2)+(αkβ¯k(fk+(j))2(Qk2+ωk2)+h.c.)].\displaystyle\langle\rho_{\chi}\rangle_{\rm np}=\frac{1}{2a^{3}}\int\frac{d^{3}k}{(2\pi)^{3}}\biggl{[}\frac{|\beta_{k}|^{2}}{W_{k}^{(j)}}(|Q_{k}|^{2}+\omega_{k}^{2})+\left(\alpha_{k}\bar{\beta}_{k}(f^{+(j)}_{k})^{2}(Q_{k}^{2}+\omega_{k}^{2})+{\rm h.c.}\right)\biggr{]}. (27)

This contribution contains non-perturbative effects in coupling constants. In order to understand the physical meaning of ρχnp\langle\rho_{\chi}\rangle_{\rm np}, let us take the WKB choice Wk(j)=ωk(t)W_{k}^{(j)}=\omega_{k}(t) and Vk=0V_{k}=0 and we find the oscillatory part proportional to (fk±(j))2(f^{\pm(j)}_{k})^{2} since Q2+ωk2=0Q^{2}+\omega_{k}^{2}=0 in this case. Then, we find ρχnp=(2πa)3d3kωknk\langle\rho_{\chi}\rangle_{\rm np}=(2\pi a)^{-3}\int d^{3}k\omega_{k}n_{k}, where nk=|βk|2n_{k}=|\beta_{k}|^{2} is number density of a kk-mode particle. This is nothing but the energy density of produced particles. From this fact, we may interpret ρnp\langle\rho\rangle_{\rm np} as the generalized energy density induced by particle production.

Let us briefly discuss the UV property of ρχnp\langle\rho_{\chi}\rangle_{\rm np}. As will be shown in concrete examples, the typical value of |βk||\beta_{k}| decays exponentially for large kk modes if we correctly evaluate its value by taking Stokes phenomenon into account. We may understand the absence of the UV divergences as a consequence of the fact that Stokes phenomenon is not a local but a global property of ωk(t)\omega_{k}(t). We may also expect that it cannot be divergent since it is non-perturbative effects, and as a result, the value of βk\beta_{k} is not an analytic function of coupling constants. We would not be able to renormalize such a quantity by shifts of coupling constants if the contribution gave divergent contributions. We will clarify this point in the concrete examples shown later. Nevertheless, we do not mean local UV divergences are irrelevant to βk\beta_{k}. For instance, the vacuum energy contribution in the first term of (26) depends on the external field ϕ\phi with divergent coefficients, which would contribute to the equation of motion of ϕ\phi. Then, we need counter-terms in Lagrangian to remove the divergent terms as usual. After proper renormalization procedures, we expect finite quantum corrections to ϕ\phi’s equation of motion. Such corrections modify the dynamics of ϕ\phi and accordingly, the time dependence of ωk(t)\omega_{k}(t) of χ\chi would be indirectly affected. Furthermore, if we consider interacting quantum field theory, renormalization of coupling constants and field strength would be necessary.101010In time-dependent backgrounds, perturbation theory may fail due to the secular growth of effective couplings (see e.g. Krotov:2010ma ; Trunin:2018egi ; Akhmedov:2021rhq ). Dynamical renormalization group technique may relax or remove the secular growth, which is applied to scalar field theory in de Sitter background (see e.g. Burgess:2010dd ; Green:2020txs and references therein). Or one needs to use 2PI effective action rather than the standard 1PI effective action, see e.g. Berges:2004yj for a review. We will not discuss these issues in this work. As a result, again the structure of ωk(t)\omega_{k}(t) would be corrected by quantum mechanical effects. Even in such a case, we expect that βk\beta_{k} would decay exponentially for high momentum modes because of global nature of Stokes phenomenon. Related issues about renormalization are discussed e.g. in Affleck:1981bma in the context of the Schwinger effect.

We emphasize that the physical quantities should be independent of the basis choices as long as we fix the boundary conditions on vkv_{k}, despite the appearance of the basis dependent quantities in (26). This is because it is originally given by vkv_{k}. As obvious from construction, the basis choices are essentially how we decompose the mode function vkv_{k} into the basis function and the auxiliary functions (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)). The combination of them is always the solution of the mode equation. In this sense, the basis dependence on the physical quantities should disappear.111111The separation of “vacuum” contribution and the other “physical” one depends on the adiabatic order. More precisely, the “vacuum” contribution depends on our choice of adiabatic basis. This is how the adiabatic regularization works for renormalization of divergent quantities. But, the regularized “vaccuum” part would also depend on the renormalization conditions.

If physical quantities is independent of adiabatic basis we choose, what is the advantage of the superadiabatic basis? As we mentioned, for the superadiabatic basis, the time evolution of (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)) can be approximated by the Dingle-Berry formula (63) or its generalization (69). This means that, we can have an approximate analytic solution for mode functions as basis functions and background quantities are known functions. Accordingly, we are able to obtain analytic approximations of physical quantities. This is rather important since one needs to integrate over kk to obtain e.g. energy density as shown in (26). It would be generally difficult to perform the momentum integration unless exact solutions are known. If we are able to obtain the approximate solution for the superadiabatic basis, using the approximate analytic solutions, we can perform the kk-integration analytically or semi-analytically. Therefore, the superadiabatic basis would be useful to obtain the approximation for various physical quantities. Nevertheless, we need to be careful the following points. First, the optimal adiabatic order depends on kk. Typically, the optimal order becomes higher for larger momentum modes. Therefore, strictly speaking, one need to change the optimal order mode by mode. This is impractical. Fortunately, large momentum modes are less created and one may just take the optimal order for the mode that mainly contribute to the physical quantity. Such an approximation would not spoil the estimation. The second caution is that taking higher order adiabatic expansion and performing kk-integration would be a difficult task since the higher-order adiabatic expansion contain more terms than that of lower orders. One may perform momentum integration numerically, but analytic calculation would be not so easy. Therefore, if we need analytic expression, we may use the approximate solution of (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)) given by (69) while choosing the simplest choice Wk(0)=ωkW_{k}^{(0)}=\omega_{k}, Vk=0V_{k}=0. For such choices, QkiωkQ_{k}\to{\rm i}\omega_{k}, and the analytic expression would be simplified. We note that such approximation corresponds to neglecting higher-order terms in adiabatic expansion, which can be justified in sufficiently adiabatic time region.121212We expect the approximation is not reliable in particular around the Stokes line crossing, where the adiabaticity is maximally violated. If one needs better approximation, one can evaluate e.g. energy density by substituting approximate solutions of (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)) into (27) and taking the optimal adiabatic order. In such a case, one may take semi-analytic approach as we mentioned above.

4 Adiabatic particle numbers in cosmological models

We apply the superadiabatic basis discussed in Sec. 2 to several cosmological models, which will clarify how the difference of the basis exhibits the behavior of the “particle number”.

4.1 A toy model: a simple time-dependent mass

Let us consider the following effective frequency

ωk2(t)=k2+m2+λμ4t2,\omega_{k}^{2}(t)=k^{2}+m^{2}+\lambda\mu^{4}t^{2}, (28)

where μ\mu is a mass parameter. This simple model captures the broad resonance regime of preheating and the moving D-brane model Kofman:1997yn ; Kofman:2004yc . Indeed, if we take h(ϕ)=ϕ2h(\phi)=\phi^{2} in (21) and approximate the field dynamics as ϕμ2t\phi\sim\mu^{2}t while ignoring expansion of the Universe, we find (28).

In order to estimate the amount of particle production, we need to discuss Stokes phenomenon in this setup. The turning points, at which ωk2=0\omega_{k}^{2}=0, can be found at

tc=iΩkλμ2,t_{c}={\rm i}\frac{\Omega_{k}}{\sqrt{\lambda}\mu^{2}}, (29)

and its conjugate t¯c\bar{t}_{c}, where Ωk=k2+m2\Omega_{k}=\sqrt{k^{2}+m^{2}}. Since ωk(t)\omega_{k}(t) is a real function of tt on the real axis, the Stokes line crossing the real axis at t=0t=0 connects two turning points. Note that three Stokes lines emanate from each turning point, and two of them do not cross the real axis and go to infinity. (See Fig. 2.)

Refer to caption
Figure 2: Stokes lines on the complex tt-plane in the model (28). We have taken λμ4=5,k2+m2=7\lambda\mu^{4}=5,\ k^{2}+m^{2}=7 in this figure. At each turning point, three Stokes lines emanate, and the one crossing real axis connects two turning points.

Using the Dingle-Berry formula (58), we can estimate the time dependence of the particle number when we take the optimal adiabatic order. Let us explicitly show the quantities necessary to obtain an analytic formula in the following. The amount of the particle production is determined by the phase integral along the Stokes line connecting two turning points (61), which is given by

Fk(0)=itct¯cωk𝑑t=πΩk22λμ2,F_{k}^{(0)}={\rm i}\int_{t_{c}}^{\bar{t}_{c}}\omega_{k}dt=\frac{\pi\Omega_{k}^{2}}{2\sqrt{\lambda}\mu^{2}}, (30)

where we have chosen the phase of ωk\omega_{k} so that Fk(0)>0F_{k}^{(0)}>0. The Stokes line crosses real axis at t=sc=0t=s_{c}=0. Then, we can approximate Fk(t)F_{k}(t) (60) as

Fk(t)\displaystyle F_{k}(t) =\displaystyle= 2i(tcsc+sct)ωk(t)dt\displaystyle 2{\rm i}\left(\int_{t_{c}}^{s_{c}}+\int_{s_{c}}^{t}\right)\omega_{k}(t^{\prime})dt^{\prime} (31)
=\displaystyle= Fk(0)+2isctωk(t)𝑑t\displaystyle F_{k}^{(0)}+2{\rm i}\int_{s_{c}}^{t}\omega_{k}(t^{\prime})dt^{\prime}
\displaystyle\sim Fk(0)+2iωk(sc)(tsc)\displaystyle F_{k}^{(0)}+2{\rm i}\omega_{k}(s_{c})(t-s_{c})
=\displaystyle= πΩk22λμ2+2iΩkt.\displaystyle\frac{\pi\Omega_{k}^{2}}{2\sqrt{\lambda}\mu^{2}}+2{\rm i}\Omega_{k}t.

This expression is valid around tsc(=0)t\sim s_{c}(=0). With this expression, we find σk\sigma_{k} (59) as

σk(t)=ImFk(t)2ReFk(t)2λ1/4μtπ.\sigma_{k}(t)=\frac{{\rm Im}F_{k}(t)}{\sqrt{2{\rm Re}F_{k}(t)}}\sim\frac{2\lambda^{1/4}\mu t}{\sqrt{\pi}}. (32)

Thus, for the optimal truncation order, βk(t)\beta_{k}(t) would behave as

βk(t)i2eπΩk22λμ2Erfc(2λ1/4μtπ),\beta_{k}(t)\sim\frac{\rm i}{2}e^{-\frac{\pi\Omega_{k}^{2}}{2\sqrt{\lambda}\mu^{2}}}{\rm Erfc}\left(-\frac{2\lambda^{1/4}\mu t}{\sqrt{\pi}}\right), (33)

and also the time-dependent particle number is given by

nk14eπΩkλμ2(Erfc(2λ1/4μtπ))2.n_{k}\sim\frac{1}{4}e^{-\frac{\pi\Omega_{k}}{\sqrt{\lambda}\mu^{2}}}\left({\rm Erfc}\left(-\frac{2\lambda^{1/4}\mu t}{\sqrt{\pi}}\right)\right)^{2}. (34)

We find that this simple formula actually captures the behavior of the particle number evolution at the optimal order with the natural choice Vk=W˙k(j)2Wk(j)V_{k}=-\frac{\dot{W}_{k}^{(j)}}{2W_{k}^{(j)}}. We note that the form of βk\beta_{k} in (33) actually exhibits its non-perturbative property in the coupling constant λ\lambda. As we expected, βk\beta_{k} decays exponentially as kk increases, and does not lead to UV divergences.

For illustration, we show the numerically derived time-dependent particle number at different adiabatic orders with either Vk=W˙k(j)2Wk(j)V_{k}=-\frac{\dot{W}_{k}^{(j)}}{2W_{k}^{(j)}} or Vk=0V_{k}=0 in Fig. 3 (for natural choice of VkV_{k}), and Fig. 4 (for Vk=0V_{k}=0).

Refer to caption
Figure 3: The time dependence of the adiabatic particle number for different adiabatic orders (j=0,1,2,3)(j=0,1,2,3) in the model (28) with the “natural choice” of VkV_{k}. We have taken λμ4=5,k2+m2=7\lambda\mu^{4}=5,\ k^{2}+m^{2}=7 in this figure. The red solid curve (j=1j=1) shows a relatively smooth transition from zero to non-vanishing value. The dark red dotted line is (34), which shows good agreement with the first (j=1j=1) adiabatic expansion (red solid line). Others (j=0,2,3j=0,2,3) show large oscillatory behavior around Stokes line crossing t=0t=0. Nevertheless, all converges to the same value for large tt.
Refer to caption Refer to caption
Figure 4: The time dependence of adiabatic particle number for different adiabatic orders (j=0,1,2,3)(j=0,1,2,3) in the model (28) with the standard (WKB) choice Vk=0V_{k}=0. The left panel shows the behavior around t=0t=0, and the right panel is the long time behavior. We have taken the same parameters as Fig. 3. We find neither of adiabatic orders show smooth transition. Nevertheless, all eventually asymptotes to the same value consistent with Berry’s formula. The dark red dotted line corresponds to (34).

As we clearly see from the figures, the first adiabatic expansion with the natural choice of VkV_{k} shows a smooth transition, which is in good agreement with the approximate formula (34). We also confirm that the asymptotic value of nkn_{k} converges to the same, irrespective of the adiabatic order or the choice of VkV_{k}. Therefore, as long as we are interested in the final values of produced particle number, the different choices of either adiabatic orders jj or the choice of VkV_{k} would not matter. Nevertheless, it would be appropriate to define a particle with j=1j=1 and the natural choice of VkV_{k} within this parameter set, which yields “stable” particle number. We note that, according to Berry’s estimate of the optimal order (62), our parameter choice is optimal at j=1j=1, which is consistent with our result.131313We should note that we find the numerical value 12(Fk(0)1)1.96\frac{1}{2}(F^{(0)}_{k}-1)\sim 1.96, which marginally indicates j=1j=1 as the optimal order. This might be because the value of Fk(0)F_{k}^{(0)} is not so large for our parameter choice, whereas Berry’s derivation of the optimal order assumes a large value of Fk(0)F_{k}^{(0)}. We may understand the small discrepancy between (34) and the first adiabatic order result in Fig. 3 in the same way.

Thus, we have confirmed that with an appropriate choice of the adiabatic order and VkV_{k}, we can have a proper adiabatic particle, which shows (1) smooth particle production around Stokes line crossing, (2) stable (non-oscillatory) behavior of particle number. Besides that, the proper adiabatic particle number or βk(t)\beta_{k}(t) is well approximated by a very simple formula (34). It is worth emphasizing that if we can have an analytic approximation for βk\beta_{k}, we are able to calculate physical quantities such as energy density (see (26)). Note that αk\alpha_{k} should satisfy the normalization condition |αk|2|βk|2=1|\alpha_{k}|^{2}-|\beta_{k}|^{2}=1, and once |βk||\beta_{k}| is fixed, the absolute value of αk\alpha_{k} can be determined. Therefore, we would be able to have approximate formulas for various physical quantities with a simple formula (34).

In the following, we will reconsider the cases where multiple particle production events are relevant and interference of events affect the time-dependent particle number.

4.2 Narrow and broad resonance regime in the oscillating scalar background

We discuss the production of a scalar particle χ\chi coupled to an oscillating scalar field ϕ\phi in Minkowski background, which is a toy model of preheating after inflation. More explicitly we consider h(ϕ)=ϕ(t)=Acos(Mt)h(\phi)=\phi(t)=A\cos(Mt), where AA is a dimensionful constant. Then, the effective frequency of χ\chi for a mode with momentum kk is given by

ωk2=k2+m2+λAcos(Mt).\omega_{k}^{2}=k^{2}+m^{2}+\lambda A\cos(Mt). (35)

Depending on the set of parameters, we have three different regime: For λA>k2+m2\lambda A>k^{2}+m^{2}, there are time intervals when the effective frequency becomes pure imaginary, namely a tachyonic instability regime. We will not discuss this regime here.141414In Hashiba:2021npn , Stokes phenomenon in the tachyonic regime is discussed with in R2R^{2} inflation model. In this case, the Stokes line appears along the real time axis. See also Dufaux:2006ee . For λAk2+m2<M2\lambda A\ll k^{2}+m^{2}<M^{2}, the modes in a certain momentum range experiences the so-called narrow resonance regime, which will be explained below. For M2λA<k2+m2M^{2}\ll\lambda A<k^{2}+m^{2}, we find the broad resonance regime. The broad resonance, in particular, cannot be understood from a perturbative scattering viewpoint, since the decay of ϕ\phi to χ\chi is kinematically forbidden.

Let us discuss the narrow resonance case λAk2+m2<M2\lambda A\ll k^{2}+m^{2}<M^{2}. For most momentum modes, the amount of particle production is quite small. Nevertheless, the modes in the resonance band around 4(k2+m2)M24(k^{2}+m^{2})\sim M^{2} shows particle number exponentially growing in time. One of the reasons to reconsider the narrow resonance regime here is for the following question: Can we describe the narrow resonance in the same way as the broad resonance? It is well known that resonance in this model can be understood in terms of Mathieu equation: The mode equation of vkv_{k} is rewritten as

vk′′+(Ak2qcos(2z))vk=0,v^{\prime\prime}_{k}+(A_{k}-2q\cos(2z))v_{k}=0, (36)

where Ak=4(k2+m2)/M2A_{k}=4(k^{2}+m^{2})/M^{2}, q=2λA/M2q=2\lambda A/M^{2}, and z=Mt/2+πz=Mt/2+\pi. The first resonance band condition is 1q<Ak<1+q1-q<A_{k}<1+q Kofman:1997yn . The center of the resonance band k2+m2M2/4k^{2}+m^{2}\sim M^{2}/4 seems similar to the possible kinematic configuration of ϕχχ\phi\to\chi\chi decay channel. It is known that the mode function inside the resonance band grows as Kofman:1997yn

vk(t)exp(12qz)exp(λAt2M),v_{k}(t)\propto\exp\left(\frac{1}{2}qz\right)\propto\exp\left(\frac{\lambda At}{2M}\right), (37)

and therefore the particle number would grow as nkexp(λAt/M)n_{k}\propto\exp(\lambda At/M). Therefore, we interpret Γ=λA/M\Gamma=\lambda A/M as the production rate of χ\chi. The narrow resonance can be understood from the perturbative decay of inflaton to χ\chi with Bose enhancement effects (see e.g. Mukhanov:2005sc ).151515We note however that the production rate is quite different from that given by a perturbative analysis. For clarification of this point, we give a perturbative analysis of χ\chi-production in appendix C.

On the other hand, in the broad resonance regime, produced particle number is expressed in terms of non-analytic functions of a coupling constant λ\lambda as it can be understood from the simplified model in Sec. 4.1. If we try to describe both the narrow and broad resonance regime, it would mean that we need to treat perturbative and non-perturbative contributions simultaneously. We will show that this is possible, namely, we are able to describe both regime in a unified way. This is not so surprising since the both regime can be described by a single differential equation, Mathieu equation. Nevertheless, it is important to confirm that Stokes phenomenon captures both perturbative and non-perturbative effects.

Refer to caption
Figure 5: Schematic picture of Stokes lines (blue lines) and turning points (red dots) of the effective frequency (35). Note that we draw only the relevant Stokes lines crossing the real axis, and there are three Stokes lines emanating from each turning point.

Let us discuss the Stokes phenomenon in this model. Turning points at which ωk2(tc)=0\omega_{k}^{2}(t_{c})=0 are

tc=1M((2n1)π±ilog(c+c2+1)),t_{c}=\frac{1}{M}\left((2n-1)\pi\pm{\rm i}\log(c+\sqrt{c^{2}+1})\right), (38)

where c=(k2+m2)/(λA)c=(k^{2}+m^{2})/(\lambda A), and nn is an arbitrary integer. The appearance of nn represents the repeated particle production events, and we will take n=1n=1 to be the first event. A turning point and its complex conjugate are connected by a Stokes line that crosses the real tt axis. We illustrate the Stokes line structure in this model in Fig. 5. The amount of the particle produced at each Stokes line crossing is determined by

Fk(0)=it¯ctcdtωk=4iλAMc1E(i2log(c+c2+1)|2c1),F^{(0)}_{k}={\rm i}\int_{\bar{t}_{c}}^{t_{c}}dt\omega_{k}=-4{\rm i}\frac{\sqrt{\lambda A}}{M}\sqrt{c-1}E\left(\frac{\rm i}{2}\log(c+\sqrt{c^{2}+1})\bigl{|}-\frac{2}{c-1}\right), (39)

where E(a|x)=0a1x2sin2θ𝑑θE(a|x)=\int_{0}^{a}\sqrt{1-x^{2}\sin^{2}\theta}d\theta is the incomplete elliptic integral of the second kind. The interference effect among each Stokes line crossing is characterized by the phase shift

θ=02πωk𝑑t=2k2+m2Mc(c1E(2c1)+c+1E(21+c)),\theta=\int_{0}^{2\pi}\omega_{k}dt=\frac{2\sqrt{k^{2}+m^{2}}}{M\sqrt{c}}\left(\sqrt{c-1}E\left(-\frac{2}{c-1}\right)+\sqrt{c+1}E\left(\frac{2}{1+c}\right)\right), (40)

where E(x)=E(π2|x)E(x)=E(\frac{\pi}{2}|x) is the complete elliptic integral of the second kind. Note that for the large cc limit, we find θ2πk2+m2M\theta\to\frac{2\pi\sqrt{k^{2}+m^{2}}}{M}, and for c1c\to 1, θ0\theta\to 0. Therefore, at the first resonance band k2+m2M2/4k^{2}+m^{2}\sim M^{2}/4, the phase factor becomes θπ\theta\sim\pi. Our approximate connection matrix (69) at nn-th Stokes line crossing becomes

Cn=(1+|Ek,n(t)|2iEk,n(t)i(Ek,n(t))1+|Ek,n(t)|2),C_{n}=\left(\begin{array}[]{cc}\sqrt{1+|E_{k,n}(t)|^{2}}&{\rm i}E_{k,n}(t)\\ -{\rm i}(E_{k,n}(t))^{*}&\sqrt{1+|E_{k,n}(t)|^{2}}\end{array}\right), (41)

where

Ek,n(t)=12e2inθeFk(0)Erfc(σk,n(t))E_{k,n}(t)=\frac{1}{2}e^{2{\rm i}n\theta}e^{-F^{(0)}_{k}}{\rm Erfc}(-\sigma_{k,n}(t)) (42)

and

σk,n(t)2k2+m2λA2Fk(0)(t(2n1)π).\sigma_{k,n}(t)\sim\frac{2\sqrt{k^{2}+m^{2}-\lambda A}}{\sqrt{2F_{k}^{(0)}}}(t-(2n-1)\pi). (43)

Note that due to the periodicity of the background, the phase factor is simply given by the multiple of eiθe^{{\rm i}\theta}. One can obtain (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)) including particle production up to the nn-th event as

(αk(t)βk(t))=j=1nCj(10),\left(\begin{array}[]{c}\alpha_{k}(t)\\ \beta_{k}(t)\end{array}\right)=\prod_{j=1}^{n}C_{j}\left(\begin{array}[]{c}1\\ 0\end{array}\right), (44)

where we have assumed the adiabatic vacuum condition (αk(0),βk(0))=(1,0)(\alpha_{k}(0),\beta_{k}(0))=(1,0). One may use the simpler approximation formula (63) if nk<1n_{k}<1, but it fails for the case nk>1n_{k}>1. The formula (44) is all we need for evaluation of the particle production. One can immediately obtain the particle number nk=|βk|2n_{k}=|\beta_{k}|^{2} from the formula (44).

We give some general remarks about our approximate formula (41). The formula shows time-dependence in good agreement with numerically solved mode equation in various parameter regions. However, it fails to reproduce the numerical result exactly. There are several reasons for the discrepancy. Our conjectured formula (69) is based on the combination of Dingle-Berry’s error function formula and the connection formula of the parabolic cylinder function. This approximation would be applicable if each Stokes line crossing the real axis is well separated from others. If we try to improve the connection matrix formula, we need to perform more careful analysis of Stokes phenomenon using e.g. symmetry relations Froman1 ; Kutlin:2017dpe .161616It would also be important to modify Berry’s derivation of the error function formula in order to find the time dependence of the Bogoliubov coefficients αk(t),βk(t)\alpha_{k}(t),\beta_{k}(t). To our best knowledge, the generalization of Berry’s formula in the presence of multiple turning points is not known. Nevertheless, our simple formula (69) would be useful for practical purposes and reproduce correct behavior in most cases.

Refer to caption
Figure 6: Time-dependent particle number for the narrow resonance case. We have taken k2+m2=1/3.99,M=1,λA=0.01k^{2}+m^{2}=1/3.99,M=1,\lambda A=0.01, and the adiabatic order is taken to be the second order with the natural choice of VkV_{k} for the numerical result (red solid curve). Time tt is in unit of M1M^{-1}. We should note that we put the overall factor 1/1.41/1.4 to the approximate formula, namely, the blue dashed curve is |βk(t)|2/1.4|\beta_{k}(t)|^{2}/1.4 with βk(t)\beta_{k}(t) in (44).
Refer to caption
Figure 7: Long time behavior of narrow resonance regime. In this figure, we take a parameter set different from that of Fig. 6: λA=0.05,k2+m2=1/3.99,M=1\lambda A=0.05,\ k^{2}+m^{2}=1/3.99,\ M=1. The time tt is in unit of M1M^{-1}. To see the exponential growth behavior nkeλAt/Mn_{k}\propto e^{\lambda At/M}, we also draw the exponential functions for comparison. Our approximate formula shows slightly larger production rate than the numerical result. Nevertheless, we find the expected growth rate behavior ΓλA/M\Gamma\sim\lambda A/M.
Refer to caption
Figure 8: Time-dependent particle number for the broad resonance case. We have taken k2+m2=191,M=1,λA=190k^{2}+m^{2}=191,M=1,\lambda A=190, and for numerical result (red solid curve) the adiabatic order is the zero-th order with the natural choice of VkV_{k}. The blue dashed line is that evaluated by (44).
Refer to caption
Figure 9: Time-dependent particle number for a non-resonant case. We have taken k2+m2=1/2.99,M=1,λA=0.05k^{2}+m^{2}=1/2.99,M=1,\lambda A=0.05, and the adiabatic order is the first order with the natural choice of VkV_{k}. The red solid curve is numerical result and the blue dashed line is that evaluated by (44).

Let us show the comparison between nk=|βk(t)|2n_{k}=|\beta_{k}(t)|^{2} with our approximate formula (44) and that of numerical solutions. In evaluating particle number numerically, we used Emarkov-Milne equation reviewed in appendix B. In Fig. 6, we show the narrow resonance case. We see plateau regions for the numerical solution, but such regions do not appear in our approximate formula. This is because the width of the error function is too large and separated particle production events are smoothly connected. Nevertheless, we see the growth behavior consistent with the numerical solution, up to an 𝒪(1)\mathcal{O}(1) overall factor. We show a simple modification in appendix D, which shows a better fitting. We also show the long time behavior of the narrow resonance regime in Fig. 7 (with a slightly different parameter set). We find the exponential growth rate expected from the instability band analysis is approximately reproduced. We would like to clarify the origin of the growth. As we mentioned earlier, the phase factor θπ\theta\sim\pi in this regime, and therefore, the phase factor appearing in the connection matrix does not give any interference effects. Effectively, after nn events, we just multiply the same matrix for nn times. One can easily confirm that such multiplication of matrices leads to exponential growth of |βk||\beta_{k}|. This is the reason for the narrow resonance from our viewpoint. Such a viewpoint seems different from the instability analysis of Mathieu equation or Floque theory Amin:2014eta .

In Fig. 8, the broad resonance case is shown. In this case, we find a very good agreement between the numerical solution and our approximate formula. We also show a non-resonant case in Fig. 9. We find that our approximate formula looks an envelope of the numerical result. Thus, our simple formula is in good agreement with numerical evaluation of particle number in different parameter regions. However, we should emphasize a possible problem in our approximation. In the case of resonant particle production, the particle number grows exponentially, and therefore, small deviation at earlier time could be enhanced. Indeed, as shown in Fig. 7, the growth rate of our analytic approximation shows a slightly larger value than that of numerical result or expectation from the instability band analysis. This discrepancy results in large deviation due to the exponential dependence. As we quoted in appendix A, it is not so easy to improve this point. Therefore, one needs to be careful about such an issue when applying our analytic formulas to models of explosive particle production. A similar issue appears in the preheating in expanding universe. As we will see in the next section, it is quite difficult to determine the interference effects among number of events. Therefore, we are able to find at most the estimate with a stochastic interference effects, which is known from earlier work Kofman:1997yn . Independently of these issues, one has to take into account backreaction to the background field, which cannot be neglected if the particle number is exponentially large. Then, one needs to perform e.g. lattice simulations Khlebnikov:1996mc ; Khlebnikov:1996wr ; Prokopec:1996rr ; Khlebnikov:1996zt to take the backreaction into account. Even if one tries to use Stokes phenomenon analysis, the backreaction needs to be taken into account since it changes the background dynamics and accordingly the structure of Stokes lines. Then, the interference effects would become stochastic one. Therefore, a simple exponential growth would not be realized in reality.

It is also important to check the UV behavior of βk(t)\beta_{k}(t). As we showed, the absolute value of βk\beta_{k} is characterized by eFk(0)e^{-F_{k}^{(0)}}. Let us see how Fk(0)F_{k}^{(0)} behaves for high momentum region, which corresponds to cc\to\infty. From the definition of the incomplete Elliptic integral of the second kind, we may approximate Fk(0)F_{k}^{(0)} as

Fk(0)4iλAMc0i2log(2c)𝑑φ=2λAMclog(2c).F_{k}^{(0)}\sim-4{\rm i}\frac{\sqrt{\lambda A}}{M}\sqrt{c}\int_{0}^{\frac{\rm i}{2}\log(2c)}d\varphi=\frac{2\sqrt{\lambda A}}{M}\sqrt{c}\log(2c). (45)

Noting c=(k2+m2)/(λA)c=(k^{2}+m^{2})/(\lambda A), we find exponential decay of |βk||\beta_{k}| for large kk. Thus, the UV divergence does not appear e.g. in ρnp\langle\rho_{\rm np}\rangle in (27). The UV finiteness is reasonable since the high momentum modes would not feel oscillation of mass effectively.

We have shown that the narrow and broad resonance regime are described in a unified way. In the broad resonance regime, the particle production rate at one Stokes line crossing is approximated by the model in Sec. 4.1, which is non-perturbative in the coupling constant λ\lambda.171717Around the minimum of the potential Mt0=π/2+2nπMt_{0}=\pi/2+2n\pi, one can expand cosMt1+M2(tt0)2/2\cos Mt\sim-1+M^{2}(t-t_{0})^{2}/2 and find the correspondence to the model in Sec. 4.1. Such an approximation is used in the analysis of broad resonance in preheating Kofman:1997yn . On the other hand, narrow resonance regime shows a perturbative behavior with respect to λ\lambda, since the growth rate is Γλ\Gamma\propto\lambda. The interpolation between perturbative and non-perturbative regimes is observed in the context of Schwinger effect Dunne:2005sx ; Basar:2015xna . The weak field limit or multi-photon regime would correspond to the narrow resonance and the Schwinger limit/strong field limit corresponds to the broad resonance. Clarifying the correspondence would be interesting from theoretical viewpoint, and we will leave it for future study.

4.3 Preheating in expanding universe

In this section, we discuss preheating in the expanding Universe. We take in (21) a(t)=(1+Hinit)2/3a(t)=(1+H_{\rm ini}t)^{2/3}, h(ϕ)=ϕ2h(\phi)=\phi^{2}, ϕ(t)=Asin(Mt)/t\phi(t)=A\sin(Mt)/t, where HiniH_{\rm ini} denotes the initial value of the Hubble parameter at the beginning of preheating stage, and AA is a dimensionless constant.181818The coupling constant λ\lambda in this case is dimensionless. For simplicity, we take Hini=MH_{\rm ini}=M, and note that this setup does not describe the beginning of inflaton oscillation precisely, but is a good approximation in later time. As we will see, the most important dynamics is the oscillating part and the details of the rest would not affect much. We here neglect the terms including Hubble parameter and its time derivative in (24). The effective frequency of χ\chi with momentum kk (24) is given by

ωk2=k2(1+Mt)4/3+m2+λA2t2sin2(Mt).\omega_{k}^{2}=\frac{k^{2}}{(1+Mt)^{4/3}}+m^{2}+\frac{\lambda A^{2}}{t^{2}}\sin^{2}(Mt). (46)

Due to the expansion of the Universe, the amplitude of inflaton oscillation decays in time, and therefore, particle production is dominated by the early stage. We assume A1A\gg 1, and then the oscillating term dominates the time-dependence of (46).

In order to make an estimate of particle production rate, let us discuss the Stokes phenomenon in this model. When A1A\gg 1, the following approximation used in Hashiba:2021npn can be applied: Since the dominant term in (46) is the sinusoidal term, the turning point would be near MtnπMt\sim n\pi, where nn is a positive integer. We assume the turning point to be Mtn=nπ+δnMt_{n}=n\pi+\delta_{n}. Unless n1n\gg 1, we expect |δn|1|\delta_{n}|\ll 1, and therefore,

k2(1+nπ)4/3+m2+λA2(nπ)2sin2(δn)0,\frac{k^{2}}{(1+n\pi)^{4/3}}+m^{2}+\frac{\lambda A^{2}}{(n\pi)^{2}}\sin^{2}(\delta_{n})\sim 0, (47)

or equivalently,

sin2δncn2,\sin^{2}\delta_{n}\sim-c_{n}^{2}, (48)

where

cn2(nπ)2λA2(k2(1+nπ)4/3+m2).c_{n}^{2}\equiv\frac{(n\pi)^{2}}{\lambda A^{2}}\left(\frac{k^{2}}{(1+n\pi)^{4/3}}+m^{2}\right). (49)
Refer to caption
Figure 10: Turning points of (46) for k=1,m=1,λ=1,A=900,M=1k=1,m=1,\lambda=1,A=900,M=1. The red circles denote turning points.

Therefore, δn±iarcsinhcn\delta_{n}\sim\pm{\rm i\ arcsinh}\ c_{n}. As seen from this relation, the absolute value of the imaginary part of the turning points becomes larger as nn increases as illustrated in Fig. 10. This behavior can be understood from the decay of the amplitude of the oscillator. The complex conjugate pairs of turning points are connected by Stokes lines crossing the real axis. We integrate the effective frequency along the Stokes line, and find

Fk,n(0)iλAnπt¯ntncn2+sin2Mtdt=2λAinπMcnE(iarcsinhcn|1cn2).F_{k,n}^{(0)}\sim\frac{{\rm i}\sqrt{\lambda}A}{n\pi}\int_{\bar{t}_{n}}^{t_{n}}\sqrt{c_{n}^{2}+\sin^{2}Mt}dt=-\frac{2\sqrt{\lambda}A\rm i}{n\pi M}c_{n}E\left({\rm i}\ {\rm arcsinh}\ c_{n}\Bigl{|}-\frac{1}{c_{n}^{2}}\right). (50)

For cn1c_{n}\ll 1, we find

Fk,n(0)λAcn22nM,F_{k,n}^{(0)}\sim\frac{\sqrt{\lambda}Ac_{n}^{2}}{2nM}, (51)

which can also be found from linear approximation, sinMtMt\sin Mt\sim Mt in performing integration. Let us evaluate the amount of particle production at each Stokes line crossing. The nn-th Stokes line crossing would give χ\chi-particle number density

nk,ne2Fk,n(0)exp(nπ2λAM(k2(nπ+1)4/3+m2)),n_{k,n}\sim e^{-2F_{k,n}^{(0)}}~{}\sim\exp\left(-\frac{n\pi^{2}}{\sqrt{\lambda}AM}\left(\frac{k^{2}}{(n\pi+1)^{4/3}}+m^{2}\right)\right), (52)

where we have assumed cn1c_{n}\ll 1.191919One can check that this approximation works well until cn1c_{n}\sim 1. Note that this is not the particle number after nn-th crossing, since we have to multiply the connection matrix at each Stokes line crossing as (69).

We comment on the choice of the adiabatic order in preheating setup. Due to decreasing amplitude, there are several particle production events with different values of Fk,n(0)F_{k,n}^{(0)}, which determines the optimal order according to Berry’s estimate (62). The leading contribution is the first Stokes line crossing n=1n=1, and therefore, determining the optimal order from Fk,1(0)F_{k,1}^{(0)} would be the best choice since later events only give small changes of particle number.202020If the later contributions are not negligible, it would mean that their Fk,n(0)F_{k,n}^{(0)} would be the same order as Fk,1(0)F_{k,1}^{(0)}, then the optimal order for them would be the same. As naively expected, larger amplitude AA reduces Fk,1(0)F_{k,1}^{(0)}, and for explosive particle production case, the zero-th order is the optimal choice for the adiabatic basis. For heavy particle production cases discussed later, the higher adiabatic order is the optimal basis.

For the production of light particles, numbers of particle production events interfere with each other. More specifically, the phase factor θk,n\theta_{k,n} in (70) describes the interference effects. However, the evaluation of θk,n\theta_{k,n} requires very good accuracy, since 𝒪(1)\mathcal{O}(1) error leads to completely different interference patterns. We could not find a good analytic formula with O(1)O(1) accuracy. Besides that, when Fk,n(0)F_{k,n}^{(0)} is very small until nn becomes very large, which is the case for explosive particle production, our approximate connection matrix formula (69) is not a good approximation as we mentioned earlier. Therefore, it would be more practical to treat θk,n\theta_{k,n} as stochastic parameters as the treatment in Kofman:1997yn . In this case, it is difficult to predict the time-dependent particle number accurately. Nevertheless, we show in appendix E that our connection formula (69) can capture the behavior of explosive particle production qualitatively.

Refer to caption Refer to caption
Figure 11: Heavy particle production in expanding universe with the parameter set (53). Left panel shows the numerical solution with the first adiabatic order and the right panel is with the zero-th order. We find that the first adiabatic expansion gives stable particle number. We also find that only the first Stokes line crossing around tπt\sim\pi is responsible for the production. Note that the time tt is in unit of M1M^{-1}.

Let us consider a relatively simple case, where only the first event is responsible for particle production. For concreteness, we take the following parameters,

λ=1,A=150,m=11.5M,\lambda=1,\ A=150,\ m=11.5M, (53)

and we will take M=1M=1, namely all the dimensionful quantities are in unit of MM. Since χ\chi-particle is quite heavy, only the first Stokes line crossing is relevant for particle production. In Fig. 11, we show the time-dependent particle number for different momentum modes, and also the difference between the zero-th and first adiabatic order. As clearly seen, the first order expansion give non-oscillatory “particle number”.

Refer to caption
Figure 12: Momentum dependence of the produced particle number. The blue solid curve is given by our approximate formula (50) with n=1n=1. The red dots are the numerical evaluation of the final particle number. We take the parameter set (53) and the final time tf=30t_{f}=30 in unit of M1M^{-1}. As expected, the final particle number at t=30t=30 is the same as that evaluated just after first Stokes line crossing n=1n=1. Our analytic estimate is in good agreement with the numerical result.

In this case, we are able to evaluate the produced particle number directly from (50) at n=1n=1 since only the first Stokes line crossing around tπt\sim\pi is responsible for particle production.212121For practical purpose, one may use (52) to estimate the particle number. Here, we will evaluate nke2Fk,1(0)n_{k}\sim e^{-2F_{k,1}^{(0)}} using (50), which gives slightly better estimate. We show the comparison between the particle number with our analytic formula (50) and the numerical result evaluated at t=30M1t=30M^{-1} in Fig. 12. The agreement between numerical results and our approximate formula ensures that our method can be reliably applied to obtain the analytic formula for βk(t)\beta_{k}(t).

Refer to caption
Figure 13: Energy density of χ\chi (55) with the parameter set (53). The time tt is in unit of M1M^{-1}. Note that the oscillatory behavior of ρχ\rho_{\chi} is originated from the oscillation of the effective mass rather than particle production.

Finally let us illustrate the approximation quoted in the end of Sec. 3. We consider the time-dependent energy density of χ\chi with the superheavy mass as the simplest example. Neglecting higher-order terms in adiabatic expansion and in VkV_{k}, the energy density of χ\chi is simply given by

ρχnp1a3d3k(2π)3ωk|βk(t)|2.\langle\rho_{\chi}\rangle_{\rm np}\sim\frac{1}{a^{3}}\int\frac{d^{3}k}{(2\pi)^{3}}\omega_{k}|\beta_{k}(t)|^{2}. (54)

Since the distribution of χ\chi is centered at k=0k=0, we take k=0k=0 for the error function in βk(t)\beta_{k}(t). Then, using the approximate expression (52) with n=1n=1, we can perform the integration analytically, and find

ρχnpλA(π+1)4/38π4a2(t)eπ2m2λAM(m2+λA2t2sin2Mt)eg(t)K1(g(t))s(t),\langle\rho_{\chi}\rangle_{\rm np}\sim\frac{\sqrt{\lambda}A(\pi+1)^{4/3}}{8\pi^{4}a^{2}(t)}e^{-\frac{\pi^{2}m^{2}}{\sqrt{\lambda}AM}}\left(m^{2}+\frac{\lambda A^{2}}{t^{2}}\sin^{2}Mt\right)e^{g(t)}K_{1}(g(t))s(t), (55)

where Kν(x)K_{\nu}(x) denotes the modified Bessel function of the second kind, and

g(t)π2a2(t)2λA(π+1)4/3(m2+λA2t2sin2Mt),g(t)\equiv\frac{\pi^{2}a^{2}(t)}{2\sqrt{\lambda}A(\pi+1)^{4/3}}\left(m^{2}+\frac{\lambda A^{2}}{t^{2}}\sin^{2}Mt\right), (56)
s(t)Erfc(2m(2F0,1(0))1/2(tπ)).s(t)\sim{\rm Erfc}\left(-2m\left(2F_{0,1}^{(0)}\right)^{-1/2}(t-\pi)\right). (57)

Note that a(t)=(1+Mt)2/3a(t)=(1+Mt)^{2/3} and F0,1(0)F_{0,1}^{(0)} in this case is given in (50) with k=0,n=1k=0,n=1. Thus, we could find an approximate expression of the superheavy particle χ\chi corresponding to the parameter set (53). We show the behavior of the energy density in Fig. 13. Since there is only one event in this case, the evaluation is easily done. In principle, one can perform similar analysis in the models with multiple particle production events either analytically or semi-analytically.

5 Conclusion

In this work, we have discussed the superadiabatic basis within cosmological models. As we have reviewed in Sec. 2, the definition of “particles” in intermediate time intervals are quite ambiguous. Nevertheless, there is the optimal choice for describing adiabatic “particles” of which particle number changes only near the Stokes line crossing, namely, particle production events. As we show in Sec. 4, the particle number of the optimal adiabatic basis can be well approximated by our approximate connection formula (69), which is an conjectured extension of Dingle-Berry’s error function formula (63). The superadiabatic basis would also be useful to numerically evaluate the particle number at a intermediate time since non-optimal choices shows badly oscillating values. This point would be clear from our examples.

We have applied the WKB/phase integral method to various parameter regions of preheating after inflation or its toy model. In particular, by taking Stokes phenomenon into account properly, we could give a unified description for different parameter regions. The narrow resonance seems perturbative effects since the effective particle production rate is analytic in the coupling constant whereas the broad resonance regime shows the production rate to be non-perturbative in the coupling constant. Despite such a different parameter dependence, our approximate formula well describes both regime in a unified manner.

In the resonance regime, where particle production is quite efficient, the interference effects are responsible, and small errors could be amplified in later time as we have discussed. In particular, for the preheating in expanding Universe, it is difficult to obtain the correct interference patterns due to the complicated time-dependence of the effective frequency of particles. Therefore, it seems better to treat the phase factor associated with various Stokes line crossing as random variables. Nevertheless, our method captures the behavior of explosive particle production (see appendix E). It would be useful to find the method giving more precise interference patterns as well as to improve our approximate formula (69). For this purpose, it would be important to develop the method for the analysis of Stokes phenomenon.

Despite the above issues, we have found that our approximate formula (69) can describe the time-dependent particle number consistent with numerical solutions in various parameter regions. In particular, it is important that the approximate solution for (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)) are very simple form that enables us to evaluate physical quantities such as energy density of produces particles in analytic or semi-analytic ways. We believe our methods can be applied to various cosmological models. For example, the particle production during inflation may play important roles for inflation dynamics and also leaves some imprints on cosmic microwave backgrounds Chung:1999ve ; Romano:2008rr ; Green:2009ds ; Barnaby:2010ke ; Cook:2011hg ; Flauger:2016idt . We will leave such applications for future work.

Throughout this work, we have focused on scalar fields, but it is possible to extend this method for particles with different spins. Bosonic particles are straightforward, and the same method is available. For fermions, one is able to apply the superadiabatic basis for two level quantum mechanical system Berry_1990 ; Lim_1991 , which is recently applied to the fermionic particle production in Enomoto:2021hfv ; Sou:2021juh ; Taya:2021dcz . Since standard model mostly consists of fermions, such an analysis would be necessary for realistic cosmological models.

Acknowledgements.
YY would like to thank Soichiro Hashiba for collaboration in our previous work and the early stage of this work, and Minxi He for useful discussions. This work is supported by JSPS KAKENHI, Grant-in-Aid for JSPS Fellows JP19J00494.

Appendix A Universal formula and optimal truncation

Here, we summarize the approximate formula describing the time evolution of βk(t)\beta_{k}(t) near Stokes lines. We do not discuss the derivation of the formula, and refer to Berry’s original work Barry:1989zz and recent papers Li:2019ves ; Sou:2021juh for derivation of the formula and its application to cosmological models.

As mentioned in the main text, particle production events can be understood as Stokes phenomena, which lead to the non-trivial mixing of αk(t)\alpha_{k}(t) and βk(t)\beta_{k}(t) at the Stokes line crossing. Dingle found the universal formula of βk(t)\beta_{k}(t) near the Stokes line Dingle ,

βk(t)i2Erfc(σk(t))eFk(0),\beta_{k}(t)\sim\frac{\rm i}{2}{\rm Erfc}(-\sigma_{k}(t))e^{-F_{k}^{(0)}}, (58)

where Erfc(x){\rm Erfc}(x) is the complementary error function, and we have introduced

σk(t)\displaystyle\sigma_{k}(t) \displaystyle\equiv ImFk(t)2ReFk(t),\displaystyle\frac{{\rm Im}F_{k}(t)}{\sqrt{2{\rm Re}F_{k}(t)}}, (59)
Fk(t)\displaystyle F_{k}(t) \displaystyle\equiv 2itctωk(t)𝑑t,\displaystyle 2{\rm i}\int_{t_{c}}^{t}\omega_{k}(t^{\prime})dt^{\prime}, (60)
Fk(0)\displaystyle F^{(0)}_{k} \displaystyle\equiv itct¯cωk(t)𝑑t.\displaystyle{\rm i}\int_{t_{c}}^{\bar{t}_{c}}\omega_{k}(t^{\prime})dt^{\prime}. (61)

Here tct_{c} denotes the turning point and t¯c\bar{t}_{c} is the conjugate of tct_{c}. Note that the phase and branch cut need to be chosen so that Fk(0)F_{k}^{(0)} is positive. After Dingle discovered the error function formula (58), Berry showed that the Dingle’s universal formula above can be obtained by truncation of the adiabatic expansion, and Borel summation of the remainder terms Barry:1989zz . In Berry’s derivation, it is also shown that the optimal order of the adiabatic expansion is given by

jInt[12(Fk(0)1)],\displaystyle j\sim{\rm Int}\left[\frac{1}{2}(F_{k}^{(0)}-1)\right], (62)

where Int[x]{\rm Int}[x] denotes the Gauss symbol. The comparison of the universal formula with the adiabatic solution at the optimal order is discussed in Lim_1991 for two level quantum mechanical system with time-dependent Hamiltonian and in Dabrowski:2014ica ; Dabrowski:2016tsx for strong field QED.

The above expression is for a single Stokes line crossing, namely a single particle production event. For multiple Stokes line crossings, which would take place in realistic models, such as preheating, we need a generalized formula for the universal approximation. The following generalized formula is proposed in Dabrowski:2014ica ,

βk(t)=i2ne2iθk,neFk,n(0)Erfc(σk,n(t)),\beta_{k}(t)=\frac{\rm i}{2}\sum_{n}e^{2{\rm i}\theta_{k,n}}e^{-F_{k,n}^{(0)}}{\rm Erfc}(-\sigma_{k,n}(t)), (63)

where

σk,n(t)\displaystyle\sigma_{k,n}(t) \displaystyle\equiv ImFk,n(t)2ReFk,n(t),\displaystyle\frac{{\rm Im}F_{k,n}(t)}{\sqrt{2{\rm Re}F_{k,n}(t)}}, (64)
Fk,n(t)\displaystyle F_{k,n}(t) \displaystyle\equiv 2itntωk(t)𝑑t,\displaystyle 2{\rm i}\int_{t_{n}}^{t}\omega_{k}(t^{\prime})dt^{\prime}, (65)
Fk,n(0)\displaystyle F^{(0)}_{k,n} \displaystyle\equiv itnt¯nωk(t)𝑑t.\displaystyle{\rm i}\int_{t_{n}}^{\bar{t}_{n}}\omega_{k}(t^{\prime})dt^{\prime}. (66)

Here, tnt_{n} and t¯n\bar{t}_{n} are the nn-th turning point and its conjugate. Note that we have taken the convention that Fk,n(0)>0F_{k,n}^{(0)}>0. The phase factor θk,n\theta_{k,n} is defined as

θk,n=tisnωk𝑑t,\theta_{k,n}=\int_{t_{i}}^{s_{n}}\omega_{k}dt, (67)

where tit_{i} is the initial time and sns_{n} is the point at which the nn-th Stokes line crosses the real axis.222222In the original formula proposed in Dabrowski:2014ica , the lower limit of the integration in θk,n\theta_{k,n} is taken to be the first turning point, but changing it to tit_{i} does not change the relative phase. So, we take the lower limit to be tit_{i} here. Practically, we may approximate θk,n\theta_{k,n} as

θk,ntiRetnωk𝑑t,\theta_{k,n}\sim\int_{t_{i}}^{{\rm Re}\ t_{n}}\omega_{k}dt, (68)

where tnt_{n} is the nn-th turning points.

Although the formula (63) captures the time-dependent particle number correctly for nk<1n_{k}<1, we find that it cannot be applied to the case where nk>1n_{k}>1 which can be realized by repeated Stokes phenomena such as narrow or broad resonance in preheating. Therefore, we need to improve the approximate formula for (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)). Taking the Dingle-Berry formula into account, we propose the following new formula,

(αk(n+1)βk(n+1))=(1+|Ek,n(t)|2iEk,n(t)i(Ek,n(t))1+|Ek,n(t)|2)(αk(n)βk(n)),\left(\begin{array}[]{c}\alpha_{k}^{(n+1)}\\ \beta_{k}^{(n+1)}\end{array}\right)=\left(\begin{array}[]{cc}\sqrt{1+|E_{k,n}(t)|^{2}}&-{\rm i}E_{k,n}(t)\\ {\rm i}(E_{k,n}(t))^{*}&\sqrt{1+|E_{k,n}(t)|^{2}}\end{array}\right)\left(\begin{array}[]{c}\alpha_{k}^{(n)}\\ \beta_{k}^{(n)}\end{array}\right), (69)

where (αk(n),βk(n))(\alpha_{k}^{(n)},\beta_{k}^{(n)}) denote the Bogoliubov coefficient functions that take into account Stokes line crossing up to the nn-th event, and

Ek,n=12e2iθk,neFk,n(0)Erfc(σk,n(t)).E_{k,n}=\frac{1}{2}e^{-2{\rm i}\theta_{k,n}}e^{-F_{k,n}^{(0)}}{\rm Erfc}(-\sigma_{k,n}(t)). (70)

We find this formula a good approximation in several parameter regions including resonance cases, where particle number grows exponentially. Unfortunately, we have not found the derivation of the above formula yet. Nevertheless, let us comment on the reason why the above formula would work in various situations: In certain limit, one finds that this formula corresponds to the connection matrix for the case of parabolic cylinder functions, which has two turning points that are complex conjugate to each other. Since we are mostly considering real potential where there are such pairs of turning points. If there are multiple turning point pairs, each crossing would lead to the mixing of (αk(t),βk(t))(\alpha_{k}(t),\beta_{k}(t)). These considerations lead us to the conjectured formula (69).

One should iteratively multiply the connection matrix in order to get the Bogoliubov coefficients that take into account up to nn-th particle production events. We will use this conjectured formula in the main texts and will show that this approximate formula works well.

We note that the formula (63) can be understood as the replacement of the connection matrix in (69) as

(αk(n+1)βk(n+1))=(10i(Ek,n(t))1)(αk(n)βk(n)).\left(\begin{array}[]{c}\alpha_{k}^{(n+1)}\\ \beta_{k}^{(n+1)}\end{array}\right)=\left(\begin{array}[]{cc}1&0\\ {\rm i}(E_{k,n}(t))^{*}&1\end{array}\right)\left(\begin{array}[]{c}\alpha_{k}^{(n)}\\ \beta_{k}^{(n)}\end{array}\right). (71)

One can immediately reproduce (63) from this formula. This approximation means that we neglect the higher-order corrections to αk(t)\alpha_{k}(t), which is valid if each Fk,n(0)F_{k,n}^{(0)} is sufficiently large, or if interference effects does not allow the monotonic growth of |βk(t)||\beta_{k}(t)|. In the case of resonant particle production, one needs to use the form (69) instead of (63). We should note however that (63) and (69) may fail to reproduce the correct behavior especially when Fk,n(0)F^{(0)}_{k,n} are not large enough. We also note that for (63) the normalization condition |αk|2|βk|2=1|\alpha_{k}|^{2}-|\beta_{k}|^{2}=1 cannot be satisfied since the correction to |αk||\alpha_{k}| is neglected, where as our formula (69) does. The approximate formula works well for small numbers of particle production events, but small discrepancy with numerical results can occur. In the case of broad resonance regime in an oscillating scalar model, where the value of Fk,n(0)F^{(0)}_{k,n} is quite small, the small discrepancy between our formula and the numerical result for one event is exponentially increased after multiple events. It would be necessary to improve the accuracy of the formula, but there are possible difficulties: As clearly discussed in Taya:2020dco , the connection problem within (exact) WKB analysis becomes quite difficult in the presence of a real potential term due to the appearance of Stokes segments, which are Stokes lines connecting two turning points. Then, one needs to neglect higher-order instanton contributions. Such higher order terms become relevant when “instanton action” Fk,n(0)F_{k,n}^{(0)} is small. Nevertheless, our formula reproduces numerical results in cases with sufficiently large Fk,n(0)F^{(0)}_{k,n}. Even in the parameter region where the adiabatic expansion seems not good, our formula captures the behavior of time-dependent particle numbers at least qualitatively. Therefore, our connection matrix formula (69) would be useful to understand the behavior of particle number in various backgrounds.

Appendix B Emarkov-Milne equation

Following Dabrowski:2016tsx , we review the Emarkov-Milne equation, which is an alternative form of the mode equation (23). As an exact solution to (23), we assume the following ansatz

vk=ξk(t)eiλk(t),v_{k}=\xi_{k}(t)e^{-{\rm i}\lambda_{k}(t)}, (72)

where ξk(t)\xi_{k}(t) and λk(t)\lambda_{k}(t) are real functions of tt. The normalization condition vkv˙kv˙kvk=iv_{k}\dot{v}^{*}_{k}-\dot{v}_{k}v^{*}_{k}={\rm i} reads

λk=12t0t𝑑tξk2(t),\lambda_{k}=\frac{1}{2}\int_{t_{0}}^{t}dt^{\prime}\xi_{k}^{-2}(t^{\prime}), (73)

where t0t_{0} denotes a reference time. Then, ξk\xi_{k} should satisfy

ξ¨k(t)+ωk2ξk(t)=14ξk3.\ddot{\xi}_{k}(t)+\omega_{k}^{2}\xi_{k}(t)=\frac{1}{4}\xi_{k}^{-3}. (74)

Since

αk(t)\displaystyle\alpha_{k}(t) =\displaystyle= ifk(j)(v˙k(iWk(j)+Vk)vk),\displaystyle{\rm i}f^{-(j)}_{k}\left(\dot{v}_{k}-({\rm i}W^{(j)}_{k}+V_{k})v_{k}\right), (75)
βk(t)\displaystyle\beta_{k}(t) =\displaystyle= ifk+(j)(v˙k(iWk(j)+Vk)vk),\displaystyle{\rm i}f^{+(j)}_{k}\left(\dot{v}_{k}-(-{\rm i}W^{(j)}_{k}+V_{k})v_{k}\right), (76)

we are able to rewrite αk(t)\alpha_{k}(t) and βk(t)\beta_{k}(t) in terms of the amplitude function ξk(t)\xi_{k}(t) as

αk(t)=\displaystyle\alpha_{k}(t)= ξk2Wk(j)[12ξk2+Wk(j)+i(ξ˙kξkVk)]\displaystyle\frac{\xi_{k}}{\sqrt{2W_{k}^{(j)}}}\left[\frac{1}{2\xi_{k}^{2}}+W_{k}^{(j)}+{\rm i}\left(\frac{\dot{\xi}_{k}}{\xi_{k}}-V_{k}\right)\right] (77)
×exp(it0t𝑑t(2ξk2Wk(j)))\displaystyle\times\exp\left(-{\rm i}\int_{t_{0}}^{t}dt^{\prime}(2\xi_{k}^{-2}-W_{k}^{(j)})\right)
βk(t)=\displaystyle\beta_{k}(t)= ξk2Wk(j)[12ξk2Wk(j)+i(ξ˙kξkVk)]\displaystyle-\frac{\xi_{k}}{\sqrt{2W_{k}^{(j)}}}\left[\frac{1}{2\xi_{k}^{2}}-W_{k}^{(j)}+{\rm i}\left(\frac{\dot{\xi}_{k}}{\xi_{k}}-V_{k}\right)\right] (78)
×exp(it0t𝑑t(2ξk2+Wk(j))).\displaystyle\times\exp\left(-{\rm i}\int_{t_{0}}^{t}dt^{\prime}(2\xi_{k}^{-2}+W_{k}^{(j)})\right).

For particle number, the phase factor is not relevant and

nk=ξk22Wk(j)[(12ξk2Wk(j))2+(ξ˙kξkVk)2]n_{k}=\frac{\xi_{k}^{2}}{2W_{k}^{(j)}}\left[\left(\frac{1}{2\xi_{k}^{2}}-W_{k}^{(j)}\right)^{2}+\left(\frac{\dot{\xi}_{k}}{\xi_{k}}-V_{k}\right)^{2}\right] (79)

This representation is practically useful to numerically obtain the time-dependent particle number for various adiabatic orders as well as for different choices of VkV_{k} since we only need to solve ξk\xi_{k} once. The initial conditions for ξk(t)\xi_{k}(t) are

ξk(tini)12ωk(tini),ξ˙k(tini)0.\xi_{k}(t_{\rm ini})\to\frac{1}{\sqrt{2\omega_{k}(t_{\rm ini})}},\quad\dot{\xi}_{k}(t_{\rm ini})\to 0. (80)

We note that if ωk(t)\omega_{k}(t) is taken to be asymptotically time-independent as ttinit\to t_{\rm ini}, the initial particle number (or equivalently βk(tini)\beta_{k}(t_{\rm ini})) becomes zero for any adiabatic expansion order since all the higher-order terms vanish. However, an oscillating scalar background, for example, does not have such behavior. Therefore, one finds non-zero initial particle number, which is unphysical. Therefore, one should subtract such contribution, which we performed in all the numerical simulations shown in this work.

Appendix C Perturbative decay of an oscillating scalar field

We discuss the perturbative decay from scalar condensate of ϕ\phi to a massive spectator scalar χ\chi in the presence of the three point coupling int=12λϕχ2\mathcal{L}_{\rm int}=\frac{1}{2}\lambda\phi\chi^{2}. We assume that ϕ(t)=AcosMt\phi(t)=A\cos Mt where MM being a mass of ϕ\phi and AA a constant corresponding to the amplitude. We take the background spacetime to be Minkowski spacetime, and consider a perturbation theory with respect to λ\lambda. Our setup corresponds to h(ϕ)=Acos(Mt)h(\phi)=A\cos(Mt) and gμν=ημνg_{\mu\nu}=\eta_{\mu\nu} in (21). We assume 2m<M2m<M so that the decay of ϕ\phi into two χ\chi is kinematically allowed. Here, we take WKB choice, namely Wk(j)=ωkW_{k}^{(j)}=\omega_{k} and Vk=0V_{k}=0, where the effective frequency ωk\omega_{k} is given by

ωk2=k2+m2+λϕ(t).\omega_{k}^{2}=k^{2}+m^{2}+\lambda\phi(t). (81)

In the following we assume |λA|<k2+m2|\lambda A|<k^{2}+m^{2} such that ωk2\omega_{k}^{2} does not experience instability.

At the first order in λ\lambda, the effective frequency can be expanded as

ωkΩk+λϕ2Ωk,\omega_{k}\sim\Omega_{k}+\frac{\lambda\phi}{2\Omega_{k}}, (82)

where Ωk=k2+m2\Omega_{k}=\sqrt{k^{2}+m^{2}}. With this expansion, the leading order equation for Bogoliubov coefficient functions αk(t)\alpha_{k}(t) and βk(t)\beta_{k}(t) are found to be

α˙kλϕ˙4ωk2ce2iΩkt,β˙kλϕ˙4Ωk2c¯e2iΩkt,\dot{\alpha}_{k}\sim\frac{\lambda\dot{\phi}}{4\omega_{k}^{2}}ce^{2{\rm i}\Omega_{k}t},\qquad\dot{\beta}_{k}\sim\frac{\lambda\dot{\phi}}{4\Omega_{k}^{2}}\bar{c}e^{-2{\rm i}\Omega_{k}t}, (83)

where c=e2iΩkt0c=e^{2{\rm i}\Omega_{k}t_{0}} and t0t_{0} is the initial time. Taking initial conditions αk(t0)=1\alpha_{k}(t_{0})=1 and βk(t0)=0\beta_{k}(t_{0})=0, we find the leading order solutions of the above differential equation as

αk(t)1,βk(t)t0t𝑑tλϕ˙(t)4Ωk2c¯e2iΩkt,\alpha_{k}(t)\sim 1,\qquad\beta_{k}(t)\sim\int_{t_{0}}^{t}dt^{\prime}\frac{\lambda\dot{\phi}(t^{\prime})}{4\Omega_{k}^{2}}\bar{c}e^{-2{\rm i}\Omega_{k}t^{\prime}}, (84)

and these solutions satisfy |αk|2|βk|2=1+𝒪(λ2)|\alpha_{k}|^{2}-|\beta_{k}|^{2}=1+{\mathcal{O}}(\lambda^{2}). Thus, we find a perturbed positive frequency solution to be

fk\displaystyle f_{k} =\displaystyle= αkωkeiωk𝑑t+βkωkeiωk𝑑t\displaystyle\frac{\alpha_{k}}{\sqrt{\omega_{k}}}e^{-{\rm i}\int\omega_{k}dt}+\frac{\beta_{k}}{\sqrt{\omega_{k}}}e^{{\rm i}\int\omega_{k}dt} (85)
\displaystyle\sim c¯1/22ΩkeiΩkt(1λϕ4Ωk2it0tλϕ(t)dt2Ωk)\displaystyle\frac{\bar{c}^{1/2}}{\sqrt{2\Omega_{k}}}e^{-{\rm i}\Omega_{k}t}\left(1-\frac{\lambda\phi}{4\Omega_{k}^{2}}-{\rm i}\int_{t_{0}}^{t}\frac{\lambda\phi(t^{\prime})dt^{\prime}}{2\Omega_{k}}\right)
+c¯1/22ΩkeiΩktt0tλϕ˙(t)dt2Ωke2iΩkt.\displaystyle+\frac{\bar{c}^{1/2}}{\sqrt{2\Omega_{k}}}e^{{\rm i}\Omega_{k}t}\int_{t_{0}}^{t}\frac{\lambda\dot{\phi}(t^{\prime})dt^{\prime}}{2\Omega_{k}}e^{-2{\rm i}\Omega_{k}t^{\prime}}.

One can easily check that this perturbed solution satisfies the mode equation up to 𝒪(λ2)\mathcal{O}(\lambda^{2}).

The particle production rate can be found from the perturbed βk\beta_{k} as follows: We consider particle number produced during the time interval sufficiently longer than ϕ\phi-oscillation periodicity M1\sim M^{-1}. Then, we may take the integration limit to be infinite, and find

βkiλc¯AMπ4Ωk2δ(M2Ωk),\beta_{k}\sim\frac{{\rm i}\lambda\bar{c}AM\pi}{4\Omega_{k}^{2}}\delta(M-2\Omega_{k}), (86)

where we have used ϕ˙=AMsinMt\dot{\phi}=-AM\sin Mt and dropped another term proportional to δ(M+2Ωk)\delta(M+2\Omega_{k}). Therefore,

|βk|2=λ2A2M2π216Ωk4(δ(M2Ωk))2.|\beta_{k}|^{2}=\frac{\lambda^{2}A^{2}M^{2}\pi^{2}}{16\Omega_{k}^{4}}(\delta(M-2\Omega_{k}))^{2}. (87)

The square of the delta-function should be understood as

δ(M2Ωk)δ(0)=Ttot2πδ(M2Ωk),\delta(M-2\Omega_{k})\delta(0)=\frac{T_{\rm tot}}{2\pi}\delta(M-2\Omega_{k}), (88)

where TtotT_{\rm tot} (MTtot1MT_{\rm tot}\gg 1) denotes the total time interval, which is taken to be infinity in evaluating the time integral. We can easily perform the integration over momentum space as

ntot\displaystyle n_{\rm tot} =\displaystyle= d3k(2π)3|βk|2\displaystyle\int\frac{d^{3}k}{(2\pi)^{3}}|\beta_{k}|^{2} (89)
=\displaystyle= λ2A232π12m2M2Ttot,\displaystyle\frac{\lambda^{2}A^{2}}{32\pi}\sqrt{1-\frac{2m^{2}}{M^{2}}}T_{\rm tot},

where ntotn_{\rm tot} denotes the particle density per unit volume. Therefore, the χ\chi-particle production rate per unit time Γχ\Gamma_{\chi} is

Γχ=λ2A232π12m2M2.\Gamma_{\chi}=\frac{\lambda^{2}A^{2}}{32\pi}\sqrt{1-\frac{2m^{2}}{M^{2}}}. (90)

A perturbative decay rate of ϕ\phi to two χ\chi is given by

Γϕχχ=λ232πM12m2M2,\Gamma_{\phi\to\chi\chi}=\frac{\lambda^{2}}{32\pi M}\sqrt{1-\frac{2m^{2}}{M^{2}}}, (91)

and therefore, we may rewrite the production rate Γχ\Gamma_{\chi} as

Γχ=2nϕΓϕχχ,\Gamma_{\chi}=2n_{\phi}\Gamma_{\phi\to\chi\chi}, (92)

where nϕ=12MA2n_{\phi}=\frac{1}{2}MA^{2} is the number density of zero-mode ϕ\phi-particle. This is consistent with the small amplitude limit results in Yoshimura:1995gc ; Matsumoto:2007rd , where the production of χ\chi-particles from coherent state scalar condensate was considered. Thus, we can find perturbative decay rate of ϕ\phi-condensate to χ\chi-particles with the use of WKB solutions. This result is reasonable since our perturbative calculation corresponds to the insertion of a zero mode of ϕ\phi to χ\chi’s propagator / mode function, which leads to the nontrivial time-dependence of βk(t)\beta_{k}(t).

We should note that this evaluation of particle production is quite different from neither broad nor narrow resonance that can be described by Stokes phenomenon (see Sec. 4.2).

Refer to caption
Figure 14: Time-dependent particle number for the narrow resonance case with a modified approximate formula. We have taken k2+m2=1/3.99,M=1,λA=0.01k^{2}+m^{2}=1/3.99,M=1,\lambda A=0.01, and the adiabatic order is the second order with the natural choice of VkV_{k}. We should note that we put the overall factor 1/1.41/1.4 to the approximate formula.

Appendix D Narrow resonance with different approximation

In the narrow resonance case with the second order adiabatic expansion, we find step function like behavior in growth of particle number. Let us examine a replacement of error function formula by Heaviside Θ\Theta function, which actually gives a better fitting to the numerical result. More explicitly, we replace the function Ek,n(t)E_{k,n}(t) in (41) with

E~k,n=e2inθeFk(0)Θ(t(2n1)π),\tilde{E}_{k,n}=e^{2{\rm i}n\theta}e^{-F_{k}(0)}\Theta(t-(2n-1)\pi), (93)

where Θ(x)\Theta(x) is the Heaviside Θ\Theta function. Then, we find the behavior shown in Fig. 14. The modified formula is not derived from partial Borel resummation performed by Berry. However, we expect that the exact WKB analysis would lead to a similar formula since in the exact WKB analysis, the adiabatic series is not Borel summable precisely on the Stokes line, which would look like a boundary of regions in complex time plane.

Appendix E Stochastic resonance in expanding Universe

Refer to caption
Figure 15: Time-dependent particle number in stochastic resonance regime in the expanding Universe. The solid lines are numerical results and the dashed lines are analytic approximation based on (95) and (69). We used A=650A=650, c=0.1c=-0.1, m=0.5Mm=0.5M, and k=0,M,2Mk=0,M,2M. The time tt is in unit of M1M^{-1}.

In this section, we examine whether our analytic formula (50) captures the behavior of particle number in stochastic resonance in expanding Universe discussed in Sec. 4.3. As we explained in the main text, it is quite difficult to reproduce numerical solutions in this case. Unlike the case of Fk,n(0)F_{k,n}^{(0)}, it is difficult to make a good approximation for the phase factor θk,ntitnωk𝑑t\theta_{k,n}\sim\int_{t_{i}}^{t_{n}}\omega_{k}dt where ti,nt_{i,n} denote the initial time and the real part of nn-th turning point, respectively. In addition to this issue, the connection formula (69) does not work well when Fk,n(0)F_{k,n}^{(0)} due to the higher order instanton corrections. Nevertheless, we would like to discuss whether our analytic approach captures the stochastic resonance behavior. For phase factors, we will take

θk,n=0nπM1+cA2sin2tt2+nπm2+k2(1+nπ)4/3,\theta_{k,n}=\int_{0}^{n\pi M^{-1}+c}\sqrt{\frac{A^{2}\sin^{2}t}{t^{2}}}+n\pi\sqrt{m^{2}+\frac{k^{2}}{(1+n\pi)^{4/3}}}, (94)

where cc is a constant parameter. This is not an approximation of the original integration, but a formula to be taken for illustrative purposes. The function Ek,n(t)E_{k,n}(t) in this case is given by

Ek,n(t)=12eFk,n(0)2iθk,nErfc(σk,n(t)),E_{k,n}(t)=\frac{1}{2}e^{-F^{(0)}_{k,n}-2{\rm i}\theta_{k,n}}{\rm Erfc}(-\sigma_{k,n}(t)), (95)

where Fk,n(0)F_{k,n}^{(0)} is that in (50), and σk,n\sigma_{k,n} is approximately given by

σk,n(t)2m2+k2(1+nπ)4/32Fk,n(0)(tnπ).\sigma_{k,n}(t)\sim\frac{2\sqrt{m^{2}+\frac{k^{2}}{(1+n\pi)^{4/3}}}}{\sqrt{2F_{k,n}^{(0)}}}(t-n\pi). (96)

Then, one can obtain the time-dependent Bogoliubov coefficients by (69). Using the derived βk(t)\beta_{k}(t), we show how the approximate particle number behaves in Fig. 15. As seen in the figure, although the value shows large discrepancy between analytic and numerical results, the transition behavior looks similar. Our analytic approximation captures the particle number increasing or decreasing in time, but eventually amplified to large number. It fails to reproduce the numerical result, but at the first event tπt\sim\pi, all the lines coincide. This means that the particle number estimation based on (50) is correct but interference effects are not correctly reproduced. We should note that in Fig. 15 although the final values of particle number of the approximation and numerical ones seem to coincide, this is just a coincidence.

References