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Measures of maximal entropy that are SRB

Fernando Micena F. Micena, Instituto de Matemática e Computação, IMC-UNIFEI, Itajubá-MG, Brazil. fpmicena82@unifei.edu.br Ryo Moore R. Moore, Department of Mathematics, Southern University of Science and Technology of China, No. 1088, Xueyuan Rd., Xili, Nanshan District, Shenzhen, Guangdong 518055, China. ryomoore@sustech.edu.cn Jana Rodriguez Hertz J. Rodriguez Hertz, Department of Mathematics of SUSTech and Shenzhen International Center for Mathematics, Southern University of Science and Technology of China, No. 1088, Xueyuan Rd., Xili, Nanshan District, Shenzhen, Guangdong 518055, China. rhertz@sustech.edu.cn  and  Raul Ures R. Ures, Department of Mathematics SUSTech and Shenzhen International Center for Mathematics, Southern University of Science and Technology of China, No. 1088, Xueyuan Rd., Xili, Nanshan District, Shenzhen, Guangdong 518055, China. ures@sustech.edu.cn
(Date: September 6, 2025)
Abstract.

A smooth conservative DA-diffeomorphism is smoothly conjugated to its Anosov linear part if and only if all Lyapunov exponents coincide almost everywhere with those of its linear part.

A more general result for entropy maximizing measures of C1+αC^{1+\alpha} partially hyperbolic diffeomorphisms isotopic to Anosov (DA-diffeomorphisms) on 𝕋3{\mathbb{T}}^{3} is that they are SRB measures if and only if the sum of its positive Lyapunov exponents coincides with that of the linear Anosov map AA on all periodic orbits of the support of the measure. In that case, the measure is also the unique physical measure.

This rigidity result is not as strong as in the A. Katok rigidity conjecture. Examples are provided.

2020 Mathematics Subject Classification:
37A35; 37C15; 37C40; 37D25; 37D30
FPM was partially supported by NNSFC 12071202, JRH was partially supported by NSFC 12161141002 and NSFC 12250710130, RM was partially supported by NSFC 12250710130, and RU was partially supported by NNSFC 12071202, and NNSFC 12161141002.

1. Introduction

The metric entropy of the volume probability measure mm with respect to a volume preserving diffeomorphism ff on a compact manifold is given by the Pesin’s formula:

hm(f)=λi(f,x)>0λi(f,x)dmh_{m}(f)=\int\sum_{\lambda_{i}(f,x)>0}\lambda_{i}(f,x)dm (1.1)

where λi(f)\lambda_{i}(f) are the positive Lyapunov exponents of ff counted with their multiplicity. More information in Section 2.

The complexity of ff can also be measured by its topological entropy, htop(f)h_{top}(f). The classical Variational Principle states that

htop(f)=sup{hμ(f):=μf-invariant probability measure }h_{top}(f)=\sup\{h_{\mu}(f):=\mu\>\text{$f$-invariant probability measure }\} (1.2)

under certain circumstances.

Any measure attaining the maximum in equation (1.2) is a measure of maximal entropy (m.m.e).

How often does the complexity of a system with respect to a physically meaningful measure coincide with its intrinsic complexity?

Question 1.1.

How often is the measure of maximal entropy an SRB measure?

This problem was first addressed by A. Katok:

Conjecture 1.2 (A. Katok, 1982 [Kat82]).

If ϕt\phi_{t} is a geodesic flow of a manifold MM with negative curvature, then the Liouville measure is a measure of maximal entropy if and only if MM is locally symmetric.

Many people have worked on this conjecture, notably A. Katok himself, who proved it true in the two-dimensional case, Hamenstädt [Ham95], Besson-Courtois-Gallot [BCG95], Foulon [Fou01], de Simoi - Leguil - Vinhage - Yang [SLVY20], and others. (The authors thank F. Rodriguez Hertz for bringing this conjecture to their attention.)

PH(𝕋3)\operatorname{PH}(\mathbb{T}^{3}) is the set of partially hyperbolic diffeomorphisms in 𝕋3\mathbb{T}^{3}. For a hyperbolic linear automorphism AA of 𝕋3\mathbb{T}^{3}, the set

DA(A)={fPH(𝕋3):α:[0,1]Diff(𝕋3) such that α(0)=A,α(1)=f}{\mathbf{{\rm{DA}}}(A)}=\{f\in\operatorname{PH}(\mathbb{T}^{3}):\exists\alpha:[0,1]\to\operatorname{Diff}(\mathbb{T}^{3})\text{ such that }\alpha(0)=A,\,\alpha(1)=f\} (1.3)

is the set DA-diffeomorphisms of AA on 𝕋3\mathbb{T}^{3}. A DA-diffeomorphism is an fDA(A)f\in{\rm{DA}}(A) for some AA.

Notation 1.3.
DA1+α(A)=DA(A)Diff1+α(𝕋3)andDA1+α=DADiff1+α(𝕋3).{\rm{DA}}^{1+\alpha}(A)={\rm{DA}}(A)\cap\operatorname{Diff}^{1+\alpha}(\mathbb{T}^{3})\qquad{and}\qquad{\rm{DA}}^{1+\alpha}={\rm{DA}}\cap\operatorname{Diff}^{1+\alpha}(\mathbb{T}^{3}).

AA is the linear part of all fDA(A)f\in{\rm{DA}}(A) and has real spectrum (see Section 2). λAs,λAc\lambda^{s}_{A},\lambda_{A}^{c}, and λAu\lambda^{u}_{A} are the stable, center, and unstable Lyapunov exponents of AA.

Notation 1.4.

For fDA(A)f\in{\rm{DA}}(A) and pPerH(f)p\in{\rm Per}_{H}(f) (the set of ff-hyperbolic periodic points pp of ff),

λ+(𝐩)={λfu(p) if λAc<0λfu(p)+λfc(p) if λAc>0.{\mathbf{\lambda^{+}(p)}}=\left\{\begin{array}[]{ll}\lambda_{f}^{u}(p)&\text{ if }\lambda^{c}_{A}<0\\ \lambda_{f}^{u}(p)+\lambda_{f}^{c}(p)&\text{ if }\lambda^{c}_{A}>0.\end{array}\right. (1.4)

λfu(p)\lambda_{f}^{u}(p) and λfc(p)\lambda_{f}^{c}(p) are the unstable and center Lyapunov exponents of pp with respect to ff.

Main Theorem (Lyapunov exponents rigidity).

If f:𝕋3𝕋3f:\mathbb{T}^{3}\to\mathbb{T}^{3} is a CC^{\infty} volume preserving DA-diffeomorphism, then ff is smoothly conjugated to its linear part ff_{*} if and only if

λσ(f)=λfσ,for σ=s,c,u.\lambda^{\sigma}(f)=\lambda^{\sigma}_{f_{*}},\qquad\text{for }\sigma=s,c,u. (1.5)

Organization of the paper

The Main Theorem is proved in the last section.

Theorem A (Section 3) provides a complete answer to Question 1.1 in the particular case of DA-diffeomorphisms of 𝕋3\mathbb{T}^{3}. This question is relevant in more general contexts: different manifolds, higher dimensions, and more general dynamics. However, for general partially hyperbolic diffeomorphisms in three-dimensional manifolds, this issue is open and has not been addressed yet. We consider this paper an analysis of a toy example that can provide hints for future generalizations.

Condition (3.1) in Theorem A is very fragile in the sense that it can be easily broken by a CC^{\infty}-perturbation, both in the conservative and non-conservative case, see Theorem B. On the other hand, the set of diffeomorphisms fDAf\in{\rm{DA}} for which condition (3.1) fails is a C1C^{1}-open set.

As stated in the Introduction, this article is inspired by Conjecture 1.2, which states that the entropy-maximizing measure of the geodesic flow of a manifold with negative curvature coincides with the Liouville measure if and only if the manifold is locally symmetric (constant curvature in the 2-dimensional manifold case). The conjecture was proved true for surfaces, but it remains open in the general case despite successive advances.

We aim to obtain a result of rigidity in the spirit of Conjecture 1.2. This is the content of Theorem A. Theorem B shows that this rigidity is not as “rigid” as expected in A. Katok’s setting (in fact, people in the geodesic flows area were more surprised by Theorem B than by Theorem A). One can have a diffeomorphism for which the entropy-maximizing measure is SRB, or even Lebesgue, but the diffeomorphism is not a linear Anosov diffeomorphism - the analogous of “constant curvature”-.

From Theorems A and B it follows that, even though there is some degree of rigidity, this rigidity is not enough to guarantee ff to be an Anosov diffeomorphism. This panorama may change if we increase our requirements.

Remark 1.5.

The Lyapunov exponents of ff for the volume probability measure are constant since all fDAf\in{\rm{DA}} are ergodic [GS20].

Notation 1.6.

In the case of a general ff-invariant ergodic probability measure μ\mu, we will call its Lyapunov exponents λμs(f),λμc(f)\lambda^{s}_{\mu}(f),\lambda^{c}_{\mu}(f), and λμu(f)\lambda^{u}_{\mu}(f).

Acknowledgments:

The authors thank Pablo Carrasco for his support. The authors also acknowledge anonymous reviewers for their feedback that helped improve this presentation.

2. Preliminaries

Let MM be a closed Riemannian manifold. A diffeomorphism f:MMf:M\to M is partially hyperbolic if the tangent bundle of MM admits a DfDf-invariant splitting TM=EsEcEuTM=E^{s}\oplus E^{c}\oplus E^{u} (the three subbundles are nontrivial), and a Riemannian metric such that all unit vectors vσEσv^{\sigma}\in E^{\sigma}, σ=s,c,u\sigma=s,c,u satisfy

Df(x)vs<Df(x)vc<Df(x)vu,\|Df(x)v^{s}\|<\|Df(x)v^{c}\|<\|Df(x)v^{u}\|,
Df(x)vs<1<Df(x)vu.\|Df(x)v^{s}\|<1<\|Df(x)v^{u}\|.

From now on, we consider fDA(A)f\in{\rm{DA}}(A), as defined in (1.3). The matrix AA has a real spectrum; see [Pot12, Corollary 5.1.10, Theorem 5.2.1].

There are invariant foliations 𝒲u\mathcal{W}^{u} and 𝒲s\mathcal{W}^{s} tangent to the bundles EuE^{u} and EsE^{s}. The leaves of these foliations are the unstable leaves and the stable leaves.

If ff is C1+αC^{1+\alpha}, the Pesin unstable manifold of a point xx is the set

W+(x)={y:lim supn1nlogd(fn(x),fn(y))<0}.W^{+}(x)=\left\{y:\limsup_{n\to\infty}\frac{1}{n}\log d(f^{-n}(x),f^{-n}(y))<0\right\}. (2.1)

W+(x)W^{+}(x) is an immersed manifold for a total measure set 𝒫{\mathcal{P}} (μ(𝒫)=1\mu({\mathcal{P}})=1 for all ff-invariant ergodic probability measures μ\mu) [Pes76]. In our setting, Wu(x)W+(x)W^{u}(x)\subset W^{+}(x). If λμc(f)>0\lambda^{c}_{\mu}(f)>0, then Wu(x)W+(x)W^{u}(x)\subsetneq W^{+}(x) on 𝒫{\mathcal{P}}. This follows from the Pesin Stable Manifold Theorem: dim(W+(x))\dim(W^{+}(x)) equals the number of positive Lyapunov exponents of ff, counted with their multiplicity [Pes76].

Notation 2.1.
  1. (1)

    𝒫{\mathcal{P}} is the total measure set of points xx for which W+(x)W^{+}(x) is an immersed manifold.

  2. (2)

    𝒲+{\mathcal{W}}^{+} is the partition of 𝒫{\mathcal{P}} into the leaves W+(x)W^{+}(x).

Definition 2.2.

If μ\mu is a probability measure, a μ\mu-measurable partition η\eta is a partition satisfying - up to a set of μ\mu-measure zero - that the quotient space 𝕋3/η\mathbb{T}^{3}/\eta is separated by a countable number of measurable sets (see [Rok49]).

Definition 2.3.

For an ergodic invariant probability measure μ\mu, and a partition \mathcal{F} of a total measure set 𝒫{\mathcal{P}} so that (x){\mathcal{F}}(x) is an immersed manifold for every x𝒫x\in{\mathcal{P}}, a μ\mu-measurable partition η\eta is μ\mu-subordinate to \mathcal{F} if for all x𝒫x\in{\mathcal{P}},

  1. (1)

    η(x)(x)\eta(x)\subset\mathcal{F}(x) has a uniformly bounded from above diameter inside (x)\mathcal{F}(x),

  2. (2)

    η(x)\eta(x) contains an open neighborhood of xx inside (x)\mathcal{F}(x).


From this point on, we will talk about “subordinate partitions” without explicitly mentioning any measure. All invariant probability measures will be considered ergodic, unless explicitly stated otherwise.

η\eta is any μ\mu-measurable partition subordinate to 𝒲+\mathcal{W}^{+} (see proof of its existence in [Pes76]). μxη\mu^{\eta}_{x} and mxηm_{x}^{\eta} are the μ\mu and Lebesgue measures in η(x)\eta(x) induced by the Riemannian structure of 𝕋3\mathbb{T}^{3} on W+(x)W^{+}(x). We will call them μx+\mu_{x}^{+} and mx+m_{x}^{+} when η\eta is clear from the context.

Definition 2.4 (SRB measure).

If ff is C1+αC^{1+\alpha}, μ\mu is an SRB measure for ff if

μx+is equivalent tomx+μa.e. x,\mu_{x}^{+}\quad\text{is equivalent to}\quad m_{x}^{+}\quad\mu-\text{a.e. }x, (2.2)

Equation (2.2) means that μx+<<mx+andmx+<<μx+\mu^{+}_{x}<<m^{+}_{x}\quad\text{and}\quad m^{+}_{x}<<\mu^{+}_{x}.  μ<<ν\mu<<\nu means that μ\mu is absolutely continuous with respect to ν\nu.

With the above notations:

Theorem 2.5 (Ledrappier-Young [LY85b], Brown [Bro22]).

If ff is a C1+αC^{1+\alpha} diffeomorphism , μ\mu is an SRB measure of ff if and only if

hμ(f)=λi(f)>0λi(f).h_{\mu}(f)=\sum_{\lambda_{i}(f)>0}\lambda_{i}(f). (2.3)

(hμ(f)h_{\mu}(f) is the sum of all positive Lyapunov exponents λi\lambda_{i} counted with their multiplicity.)

Brown showed that this theorem holds in the C1+αC^{1+\alpha} case [Bro22, Theorem 1.4].

Notation 2.6.

The support of a probability measure μ\mu is

supp(μ)={x:μ(Bε(x))>0ε>0},\operatorname{supp}(\mu)=\left\{x:\,\mu(B_{\varepsilon}(x))>0\quad\forall\,\varepsilon>0\right\},

where Bε(x)B_{\varepsilon}(x) is, as usual, the ball of radius ε>0\varepsilon>0 centered at x𝕋3x\in\mathbb{T}^{3}.

Proposition 2.7.

If μ\mu is an SRB measure, then the set supp(μ)\operatorname{supp}(\mu) is W+W^{+} -saturated: μ\mu-almost every xsupp(μ)x\in\operatorname{supp}(\mu),

W+(x)supp(μ).W^{+}(x)\subset\operatorname{supp}(\mu).
Exercise 2.8.

Find the reference for this. Better yet, try to prove it yourself.

This is our use of Jacobians.

Definition 2.9.

If g:MNg:M\to N is a function, a measurable function Jg:MJg:M\to\mathbb{R} is a Jacobian of gg if

mN(g(A))=AJg𝑑mMAmeasurable.m_{N}(g(A))=\int_{A}Jg\,dm_{M}\qquad\forall\;A\quad\text{measurable}.

If gg is a diffeomorphism, then Jg=det(Dg)Jg=\det(Dg) almost everywhere. mMm_{M} and mNm_{N} are the Lebesgue measures.

Pay attention to this notation

Notation 2.10.

If f:𝕋3𝕋3f:\mathbb{T}^{3}\to\mathbb{T}^{3} is partially hyperbolic,

Jf+={Jfu if λAc<0Jfcu if λAc>0.Jf^{+}=\left\{\begin{array}[]{ll}Jf^{u}&\text{ if }\lambda^{c}_{A}<0\\ Jf^{cu}&\text{ if }\lambda^{c}_{A}>0\end{array}\right..

JfuJf^{u} is the determinant of DfDf restricted to EuE^{u}, and JfcuJf^{cu} the determinant restricted to Ecu.E^{cu}.

3. Preliminary rigidity results

Theorem A (SRB rigidity).

If fDA1+α(A)f\in{\rm{DA}}^{1+\alpha}(A) and μ\mu is the measure of maximal entropy of f,f, μ\mu is SRB if and only if

htop(f)=htop(A)=λf+(p)pPerH(f)supp(μ)h_{top}(f)=h_{top}(A)=\lambda^{+}_{f}(p)\qquad\forall p\in{\rm Per}_{H}(f)\cap\operatorname{supp}(\mu) (3.1)

In this case, μ\mu is the only SRB measure for ff.

Theorem B (Rigidity, ma non tanto).

If AA has eigenvalues satisfying λAs<λAc<0<λAu\lambda^{s}_{A}<\lambda^{c}_{A}<0<\lambda^{u}_{A}, there are fDA(A)f\in{\rm{DA}}(A) whose entropy maximizing measure μ\mu is SRB and can have one of these properties:

  1. (1)

    ff is not Anosov. The measure of maximal entropy μ\mu can be chosen to be Lebesgue or not.

  2. (2)

    ff is Anosov and the Lyapunov exponents of μ\mu are different from those of AA.

The sufficiency of condition (3.1) in Theorem A is not very complicated: the measure of maximal entropy μ\mu is ergodic and hyperbolic, and sgn(λc(μ))=sgn(λAc)\operatorname{sgn}(\lambda^{c}(\mu))=\operatorname{sgn}(\lambda^{c}_{A}) (Theorem 3.3). By A. Katok’s closing lemma [Kat80] periodic points approximate the support of μ\mu, and there are periodic measures μn\mu_{n} - supported on the orbits of these periodic points - converging to μ\mu in the weak-* topology. Then:

λf+(μ)\displaystyle\lambda^{+}_{f}(\mu) =\displaystyle= logJf+(x)𝑑μ\displaystyle\int\log Jf^{+}(x)d\mu
=\displaystyle= limnlogJf+(x)𝑑μn\displaystyle\lim_{n}\int\log Jf^{+}(x)d\mu_{n}
=\displaystyle= limnλf+(pn)=htop(f)=htop(A),\displaystyle\lim_{n}\lambda^{+}_{f}(p_{n})=h_{top}(f)=h_{top}(A),

where pnp_{n} belongs to suppμn\operatorname{supp}\mu_{n} (see (1.4).) In our case, these periodic points can be chosen inside the support of μ\mu. See Claim 3.18.

Since μ\mu satisfies the Pesin formula, it is an SRB measure (Theorem 2.5).

Definition 3.1.

A set LL is saturated with respect to a foliation \mathcal{F} if for every xLx\in L, (x)L\mathcal{F}(x)\subset L. We also say that LL is \mathcal{F}-saturated.

Definition 3.2.

A compact set KK is minimal with respect to a foliation \mathcal{F} if every non-empty compact \mathcal{F}-saturated set LL contained in KK satisfies L=KL=K. We also say that KK is \mathcal{F}-minimal. If 𝕋3\mathbb{T}^{3} is minimal with respect to a foliation \mathcal{F}, then \mathcal{F} is a minimal foliation.

Theorem 3.3.

[Ure12] If fDA1+αf\in{\rm{DA}}^{1+\alpha}, there exists a unique measure of maximal entropy, μ\mu. And

  1. (1)

    sgn(λfc(μ))=sgn(λAc)\operatorname{sgn}(\lambda^{c}_{f}(\mu))=\operatorname{sgn}(\lambda^{c}_{A}).

  2. (2)

    If λAc<0\lambda^{c}_{A}<0, there exists a unique 𝒲u{\mathcal{W}}^{u}-minimal set Ku=suppμK_{u}=\operatorname{supp}\mu.

  3. (3)

    If λAc>0\lambda^{c}_{A}>0, there exists a unique 𝒲s{\mathcal{W}}^{s}-minimal set Ks=suppμK_{s}=\operatorname{supp}\mu.

The topological entropy of ff satisfies htop(f)=htop(A)h_{top}(f)=h_{top}(A).

3.1. Strategy to prove the necessity in Theorem A

We will see that the cohomological equation (3.2) admits a continuous solution ϕ\phi on suppμ\operatorname{supp}\mu. That is, there exists a continuous ϕ\phi satisfying:

logJf+(x)htop(f)=ϕ(x)ϕ(f(x))xsuppμ.\log Jf^{+}(x)-h_{top}(f)=\phi(x)-\phi(f(x))\qquad{\forall x\in\operatorname{supp}\mu}. (3.2)

For any periodic point pp in the support of μ\mu,   μp\mu_{p} is the ergodic invariant measure supported on the orbit of pp. If there is a continuous function ϕ\phi satisfying (3.2), we can integrate (3.2) with respect to the measure μp\mu_{p} and get λf+(p)=htop(A)\lambda_{f}^{+}(p)=h_{top}(A). This proves Theorem A.

To obtain a continuous solution of the cohomological equation (3.2) we start with a “formal solution” of (3.2) and then prove that this formal solution is measurable and coincides with a continuous function ϕ\phi μ\mu-almost everywhere in suppμ\operatorname{supp}\mu.

3.2. Proof of the necessity in Theorem A

We introduce a formal solution of (3.2).

Since ff is a DA-diffeomorphism, there exists a semi conjugacy h:𝕋3𝕋3h:\mathbb{T}^{3}\to\mathbb{T}^{3} such that

hf=Ah.h\circ f=A\circ h. (3.3)

Assume that Jh+Jh^{+} is formally defined. Then, from (3.3), we get

J(hf)+=JA+.Jh+.J(h\circ f)^{+}=JA^{+}.Jh^{+}.

By the rules of the Jacobian, Jh+(f(x)).Jf+(x)=JA+.Jh+(x)Jh^{+}(f(x)).Jf^{+}(x)=JA^{+}.Jh^{+}(x). Taking log\log,

logJf+(x)htop(A)=logJh+(x)logJh+(f(x)).\log Jf^{+}(x)-h_{top}(A)=\log Jh^{+}(x)-\log Jh^{+}(f(x)).

So, logJh+\log Jh^{+} is a formal solution of (3.2).

We will see that Jh+Jh^{+} is measurable and coincides with a continuous function μ\mu-almost everywhere.

3.3. The case λAc<0\lambda^{c}_{A}<0

Assume that the measure of maximal entropy μ\mu is an SRB measure. Then λμc(f)<0\lambda_{\mu}^{c}(f)<0 (Theorem 3.3.) This implies that W+(x)=Wu(x)W^{+}(x)=W^{u}(x) μ\mu-almost every x𝕋3x\in\mathbb{T}^{3}, since dimW+(x)=\dim W^{+}(x)=number of positive Lyapunov exponents=1.

Given a point zz, take a cubic box C(h(z))C(h(z)) with a side L>0L>0 centered on h(z)h(z) and subfoliated by the local “linear foliations ” EAs,EcE^{s}_{A},E^{c}, and EAuE^{u}_{A}. For simplicity, assume that the axes EAσE^{\sigma}_{A} are orthogonal. Denote by D(z)=h1(C(h(z)))D(z)=h^{-1}(C(h(z))). LL can be taken to be uniform for all z𝕋3z\in\mathbb{T}^{3}.

D(z)D(z) is a neighborhood of zz partitioned by bounded subarcs of W+(x)W^{+}(x), with xD(z)x\in D(z). For each xD(z)x\in D(z), μx+\mu^{+}_{x} is the conditional measure associated with the restriction of μ\mu to D(z)D(z), and mx+m^{+}_{x} is the measure induced by the Riemannian structure of W+(x)W^{+}(x) of the connected component of W+(x)W^{+}(x) intersected with D(z)D(z) containing xx.

Notation 3.4.

WD+(x)W_{D}^{+}(x) is the connected component of W+(x)W^{+}(x) intersected with D(z)D(z) that contains xx.

Since μx+<<mx+\mu^{+}_{x}<<m^{+}_{x} for μ\mu-almost every point xx, there exists an L1L^{1} density function ρx+\rho_{x}^{+} such that for every interval [a,b]+WD+(x)[a,b]^{+}\subset W^{+}_{D}(x), we have:

μx+([a,b]+)=abρx+(ξ)𝑑mx+(ξ)\mu^{+}_{x}([a,b]^{+})=\int_{a}^{b}\rho_{x}^{+}(\xi)dm^{+}_{x}(\xi) (3.4)
Remark 3.5.

For a C1+αC^{1+\alpha} diffeomorphism ff, the density function ρx+\rho^{+}_{x} is more than L1L^{1}: it is continuous and positive, and it satisfies the following Pesin-Sinai equations:

ρx+(ξ)=Δ+(x,ξ)WD+(x)Δ+(x,ξ)𝑑mx+,Δ+(x,ξ)=i=1+Jf+(fi(x))i=1+Jf+(fi(ξ)).\rho^{+}_{x}(\xi)=\frac{\Delta^{+}(x,\xi)}{\int_{W_{D}^{+}(x)}\Delta^{+}(x,\xi)dm^{+}_{x}},\qquad\Delta^{+}(x,\xi)=\frac{\prod_{i=1}^{+\infty}Jf^{+}(f^{-i}(x))}{\prod_{i=1}^{+\infty}Jf^{+}(f^{-i}(\xi))}. (3.5)

Both (x,ξ)ρx+(ξ)(x,\xi)\mapsto\rho^{+}_{x}(\xi) and (x,ξ)Δ+(x,ξ)(x,\xi)\mapsto\Delta^{+}(x,\xi) are continuous. This is because L>0L>0 is uniform, and then the sizes of D(z)D(z) are continuous. (See [PS82, Proposition 2, item (2)].)

Claim 3.6.
h(μx+)=1Lmh(x)+for μ-almost every x.h_{*}(\mu^{+}_{x})=\frac{1}{L}m^{+}_{h(x)}\quad\text{for $\mu$-almost every $x$}.

Proof. The claim is a consequence of the following lemma:

Lemma 3.7.

[Ure12] If fDA1+α(A)f\in{\rm{DA}}^{1+\alpha}(A), then (f,μ)(f,\mu) and (A,m)(A,m) are metrically isomorphic, and

h(μ)=m,h_{*}(\mu)=m, (3.6)

The set h1(h(x))h^{-1}(h(x)) is connected and is contained in Wc(x)W^{c}(x) for all x𝕋3x\in\mathbb{T}^{3}.

hh takes unstable leaves with respect to ff into unstable leaves with respect to AA ([Ure12]), and sends the measure μ+(x)\mu^{+}(x) - equivalent to volume on Wu(x)W^{u}(x) - into the normalized volume measure on EAu(h(x))E_{A}^{u}(h(x)). Then, it sends the volume on Wu(x)W^{u}(x) into a measure equivalent to Lebesgue on EAu(h(x))E_{A}^{u}(h(x)). (Exercise: Check that the claim is true from this point on.)

 [Claim 3.6]

The claim 3.6 implies that hh has an unstable Jacobian Jh+Jh^{+}. Jh+Jh^{+} only depends on the Riemannian metric. So, it does not depend on the choice of the box C(h(z))C(h(z)) (see Definition 2.9). This implies the following

Claim 3.8.

For all x𝕋3x\in\mathbb{T}^{3} and μ\mu-almost every xD(z)x\in D(z), all ff-unstable segments [a,b]+[a,b]^{+} in WD+(x)W^{+}_{D}(x) satisfy this equation:

μx+([a,b]+)=1Lmh(x)+([h(a),h(b)]+)=1LabJh+(ξ)𝑑mx+(ξ).\mu^{+}_{x}([a,b]^{+})=\frac{1}{L}m^{+}_{h(x)}([h(a),h(b)]^{+})=\frac{1}{L}\int_{a}^{b}Jh^{+}(\xi)dm^{+}_{x}(\xi). (3.7)

The formulas (3.4) and (3.7) together imply that

Jh+(ξ)=Lρx+(ξ)μalmost every ξD.Jh^{+}(\xi)=L\rho_{x}^{+}(\xi)\qquad\mu-\text{almost every }\xi\in D.

Since logρx+\log\rho^{+}_{x} is continuous, logJh+\log Jh^{+} extends to a continuous function on D(z)suppμD(z)\cap\operatorname{supp}\mu. So, Jh+Jh^{+} extends to a continuous function on suppμ\operatorname{supp}\mu.

 [Theorem A, case λAc<0\lambda^{c}_{A}<0]

3.4. The case λAc>0\lambda^{c}_{A}>0.

Proposition 3.9.

If fDA1+α(A)f\in{\rm{DA}}^{1+\alpha}(A) with λAc>0\lambda^{c}_{A}>0 and the measure of maximal entropy μ\mu is an SRB probability measure, then

W+(x)=Wcu(x)forμalmost every x.W^{+}(x)=W^{cu}(x)\qquad\text{for}\quad\mu-\text{almost every }x.

The above proposition is a particular case of [RHUY22, Proposition 5.2]. We include a proof of it in our simpler setting, to improve readability.

Proof. λfc(μ)>0\lambda^{c}_{f}(\mu)>0 (Theorem 3.3), so dimW+(x)=2\dim W^{+}(x)=2, and W+(x)W^{+}(x) contains a 22-dimensional disc centered at xx for μ\mu-almost every xx.

The easy part is to prove that W+(x)W^{+}(x) is contained in Wcu(x)W^{cu}(x) for μ\mu-almost every xx, and it is left to the reader.

The difficult part is the other inclusion. W+(x)W^{+}(x) contains a 2-disc centered at xx. If this disc does not ”colapse” under the action of hh, and h(W+(x))h(W^{+}(x)) contains a disc centered at h(x)h(x), then the linear action of AA will make this disc grow uniformly - playing with successive AnhAnA^{n}\circ h\circ A^{-n} -. The fact that hh is proper (the reader can look for this meaning) will show that W+(x)W^{+}(x) occupies the whole immersed plane Wcu(x)W^{cu}(x).

hh is injective μ\mu-almost everywhere (Lemma 3.7). Then, we can consider that hh is injective in every x𝒫x\in{\mathcal{P}} (Notation 2.1). This implies that the hh-image of W+(x)Wc(y)W^{+}(x)\cap W^{c}(y) contains a neighborhood of h(y)h(y) - a positive radius center segment centered at h(y)h(y) - in EAc(h(y))E^{c}_{A}(h(y)) for all x𝒫x\in{\mathcal{P}} and yW+(x)y\in W^{+}(x) (recall that hh only identifies points in the same center leaf, see Lemma 3.7.)

There is a full measure set {\mathcal{R}} on which hh is injective. hh only collapses center segments, so h(W+(x)Wc(x))h(W^{+}(x)\cap W^{c}(x)) contains a neighborhood in EAc(x)E^{c}_{A}(x) for all xx\in{\mathcal{R}}. Because m(h())=1m(h({\mathcal{R}}))=1, there is an mm-positive measure set BB so that h(W+(x)Wc(c))h(W^{+}(x)\cap W^{c}(c)) contains a segment of radius δ>0\delta>0 centered at xx for all xBx\in B.

The ergodicity and invariance of mm with respect to AA imply that h(W+(x)Wc(x))=EAc(h(x))h(W^{+}(x)\cap W^{c}(x))=E^{c}_{A}(h(x)). Then W+(x)Wc(x)=Wc(x)W^{+}(x)\cap W^{c}(x)=W^{c}(x) for μ\mu-almost every xx\in{\mathcal{R}}.

The reader may complete the details.

 [Proposition 3.9]

Proposition 3.10.

If zz is any point in 𝕋3\mathbb{T}^{3}, and C=C(h(z))C=C(h(z)) is a cubic box with a side L>0L>0 (as defined in Subsection 3.3), call D=D(z)=h1(C(h(z))D=D(z)=h^{-1}(C(h(z)). Then, for all x0D𝒫x_{0}\in D\cap{\mathcal{P}} and all measurable sets BWD+(x0)=WDcu(x0)B\subset W^{+}_{D}(x_{0})=W^{cu}_{D}(x_{0}),

μx0+(B)=1L2BJh+(ξ)𝑑mx0+(ξ).\mu^{+}_{x_{0}}(B)=\frac{1}{L^{2}}\int_{B}Jh^{+}(\xi)dm^{+}_{x_{0}}(\xi). (3.8)
Proof.

DD is foliated by discs WDcu(x)W^{cu}_{D}(x), and for all measurable sets BB contained in WD+(x0)=WDcu(x0)W^{+}_{D}(x_{0})=W^{cu}_{D}(x_{0}):

μx0+(B)=Bρx0+(ξ)𝑑mx0+(ξ),\mu^{+}_{x_{0}}(B)=\int_{B}\rho_{x_{0}}^{+}(\xi)dm^{+}_{x_{0}}(\xi),

(the function ρx0+\rho_{x_{0}}^{+} is defined by Equation (3.5). )

Since h(μx+)=1L2mh(x)+h_{*}(\mu^{+}_{x})=\frac{1}{L^{2}}m^{+}_{h(x)} μ\mu-almost every xDx\in D (the proof is as in Subsection 3.3),

μx0+(B)=1L2mh(x0)+(h(B)).\mu^{+}_{x_{0}}(B)=\frac{1}{L^{2}}m^{+}_{h(x_{0})}(h(B)).

Then,

μx0+(B)=1L2BJh+(ξ)𝑑mx0+(ξ).\mu^{+}_{x_{0}}(B)=\frac{1}{L^{2}}\int_{B}Jh^{+}(\xi)dm^{+}_{x_{0}}(\xi).

In Subsection 3.3 (λAc<0\lambda^{c}_{A}<0) the continuity of ρx+\rho_{x}^{+} follows directly from formulas (3.5) and from uniform hyperbolicity.

This case is more elaborated. The continuity of ρx+\rho^{+}_{x} is only clear when restricted to a local Pesin unstable manifold WD+(x)W^{+}_{D}(x), with x𝒫x\in{\mathcal{P}}. Its continuity on 𝕋3\mathbb{T}^{3} is not trivial.

We build a continuous extension of ρx0+\rho^{+}_{x_{0}} that coincides with μ\mu-almost everywhere with 1L2Jh+\frac{1}{L^{2}}Jh^{+}. We then extend Jh+Jh^{+} continuously on DD.

Definition 3.11.

If xx and yy belong to some D(z)D(z), the stable holonomy map between xx and yy is the continuous function

H:\displaystyle H: WD+(x)\displaystyle W^{+}_{D}(x)\to WD+(y)\displaystyle W^{+}_{D}(y)
w\displaystyle w\hskip 13.00005pt\longmapsto WDs(w)W+(y).\displaystyle W^{s}_{D}(w)\cap W^{+}(y).

If xDx\in D and HH is the stable holonomy map between xx and x0x_{0}, define

ρx+:=ρx0+(H(x))JH1(x),\rho^{+}_{x}:=\rho^{+}_{x_{0}}(H(x))JH^{-1}(x), (3.9)

where JH:D+JH:D\to\mathbb{R}^{+} is the Jacobian of HH. The Jacobian JHJH is continuous and positive [PS72, Theorem 2.1], and so is ρ+\rho^{+}. JHJH is continuous on DD. The formula for JHJH on DD is

JH(x)=j=0Jfcu(fj(x))Jfcu(fj(H(x)))JH(x)\>=\>\prod_{j=0}^{\infty}\frac{Jf^{cu}(f^{j}(x))}{Jf^{cu}(f^{j}(H(x)))} (3.10)

The uniform convergence of the formula in DD is proved in [PS72, Theorem 2.1] (3.10). (The continuity of JHJH on a given transversal appears more frequently in the literature, but the continuity of JHJH on DD follows from formula (3.10). See below.)

The continuity of JHJH on DD follows from the Hölder continuity of JfcuJf^{cu}:

If yWDs(x)y\in W^{s}_{D}(x), then

|logJH(x)logJH(y)||j=0logJfcu(fj(x))logJfcu(fj(y))|,\left|\log JH(x)-\log JH(y)\right|\quad\leq\quad\left|\sum_{j=0}^{\infty}\log Jf^{cu}(f^{j}(x))-\log Jf^{cu}(f^{j}(y))\right|\,,

because H(x)=H(y)H(x)=H(y). Since logJfcu\log Jf^{cu} is Hölder, there are positive constants K,CK,C, and α\alpha such that

|logJH(x)logJH(y)|j=0Cd(fj(x),fj(y)αKd(x,y)α.|\log JH(x)-\log JH(y)|\quad\leq\quad\sum_{j=0}^{\infty}C\,d(f^{j}(x),f^{j}(y)^{\alpha}\quad\leq\quad K\,d(x,y)^{\alpha}\,.

The last inequality is because yWDs(x)y\in W^{s}_{D}(x), so JHJH is Hölder continuous on stable plaques.

Claim 3.12.

The continuous function ρ+\rho^{+} coincides with ρx+\rho^{+}_{x} (Equation (3.9)) μ\mu-almost every xDx\in D.

Notation 3.13.

For a fixed zh1(z)𝕋3z^{\prime}\in h^{-1}(z)\in\mathbb{T}^{3}, C=C(z)C=C(z^{\prime}) is h(D(z))h(D(z)) and WCs(x)W^{s}_{C}(x^{\prime}) is the connected segment of Ws(x)CW^{s}(x^{\prime})\cap C that contains xx^{\prime}. WCu(x)W^{u}_{C}(x^{\prime}) is the connected 22-disc (also called plaque) WAu(x)CW^{u}_{A}(x^{\prime})\cap C that contains xx^{\prime}.

We adopt the convention that, fixed D=D(z)D=D(z), x,yx^{\prime},y^{\prime} are the hh-preimages of xx,yy that belong to C=C(z)C=C(z^{\prime}).

Proof.

HAH_{A} - the stable holonomy map for AA - is isometric on unstable discs with respect to the measure m+m^{+} for all x,yCx,y\in C such that yWCs(x)y\in W^{s}_{C}(x). This means that:

my+(HA(B))=mx+(B)m^{+}_{y}(H_{A}(B))=m^{+}_{x}(B) (3.11)

for all mx+m^{+}_{x}-measurable sets BB contained in WCu(x)W^{u}_{C}(x). (HAH_{A} is a homeomorphism, so HA(B)H_{A}(B) is m+m^{+}-measurable.) Exercise: check it.

Notation 3.14.

If H:ExEyH:E_{x}\to E_{y} is a continuous map, and μx\mu_{x} is a measure on ExE_{x}, the push-forward measure of μx\mu_{x} on EyE_{y} is the following measure:

Hμx(B)=μx(H1(B)),measurable sets BEy.H_{*}\mu_{x}(B)=\mu_{x}(H^{-1}(B)),\qquad\forall\;\text{measurable sets }B\subset E_{y}. (3.12)

ExE_{x} and EyE_{y} are any two random sets.

Choose xh1(x)x^{\prime}\in h^{-1}(x) and yh1(y)y^{\prime}\in h^{-1}(y), so that x,yDx^{\prime},y^{\prime}\in D. (Check: h(μx+)=1L2mx+h_{*}(\mu^{+}_{x^{\prime}})=\frac{1}{L^{2}}m^{+}_{x}).

Set νx:=(H)μx+\nu_{x^{\prime}}:=\left(H\right)_{*}\mu^{+}_{x^{\prime}} and

ν(BD)=𝕋3νx(BDWD+(x)dμ(x)BDDmeasurable set\nu(B_{D})=\int_{\mathbb{T}^{3}}\nu_{x^{\prime}}(B_{D}\cap W^{+}_{D}(x^{\prime})d\mu(x^{\prime})\qquad\forall\,B_{D}\subset D\quad\text{measurable set} (3.13)

Check:

  1. (1)

    H(νx)=1L2mxH_{*}(\nu_{x^{\prime}})=\frac{1}{L^{2}}m_{x}.

  2. (2)

    The density of ν\nu is ρ+\rho^{+} (Equation (3.9)).

A computation as in the proof of Proposition 3.10 implies that 1L2Jh+\frac{1}{L^{2}}Jh^{+} coincides μ\mu-almost everywhere with ρ+\rho^{+} in DD. This implies that Jh+Jh^{+} extends to a continuous function on 𝕋3\mathbb{T}^{3}. To avoid an excess of notation, we call this continuous extension Jh+Jh^{+}. ϕ=logJh+\phi=\log Jh^{+} is a continuous function that satisfies the cohomological equation (3.2). This implies that htop(f)=λf+(p)h_{top}(f)=\lambda^{+}_{f}(p) for all periodic points pp, and finishes the proof of Theorem A.

 [Theorem A]

Corollary 3.15.

If μmme(f)\mu_{mme}(f) is the (unique) measure of maximal entropy for fDAf\in{\rm{DA}}, the set

r={fDA:μmme(f)is not an SRB measure}{\mathcal{F}\hskip-3.00003ptr}=\{f\in{\rm{DA}}:\mu_{mme}(f)\quad\text{is not an SRB measure}\}

is C1C^{1}-open in DA{\rm{DA}}. rDiff(M)DA\mathcal{F}\hskip-3.00003ptr\cap\operatorname{Diff}^{\infty}(M)\cap{\rm{DA}} is CC^{\infty} dense in 𝒟{\mathcal{D}}.

Proof. If fDA1+αf\in{\rm{DA}}^{1+\alpha}, then the unique measure of maximal entropy μmme(f)\mu_{mme}(f) is hyperbolic (Theorem 3.3). Then hyperbolic periodic points are dense in the support of μmme(f)\mu_{mme}(f), by A. Katok’s closing lemma [Kat80]. By Theorem A, frf\notin\operatorname{\mathcal{F}\hskip-3.00003ptr} if and only if

htop(f)=htop(A)=λ+(p)pPer(f)supp(μmme(f))(3.1)h_{top}(f)=h_{top}(A)=\lambda^{+}(p)\qquad\forall p\in{\rm Per}(f)\cap\operatorname{supp}(\mu_{mme}(f))\qquad\eqref{condition.thm.A}
Lemma 3.16.

The set DA(r){\rm{DA}}\setminus\left(\operatorname{\mathcal{F}\hskip-3.00003ptr}\right) is equal to the set

{gDA:pPerH(g)supp(μmme(g))so that λg+(p)htop(A)},\left\{g\in{\rm{DA}}:\>\exists\,p\in{\rm Per}_{H}(g)\cap\operatorname{supp}(\mu_{mme}(g))\;\text{so that }\lambda^{+}_{g}(p)\neq h_{top}(A)\right\},

where PerH(g){\rm Per}_{H}(g) stands for the set of hyperbolic gg-periodic points. DAr{\rm{DA}}\setminus\operatorname{\mathcal{F}\hskip-3.00003ptr} is C1C^{1}-open.

Proof. Exercise: Prove the equality.

For each fDAf\in{\rm{DA}}, gλg+(pg)g\mapsto\lambda^{+}_{g}(p_{g}) is a continuous function whose domain is a small C1C^{1}-neighborhood of ff (pgp_{g} is the continuation of any given pfPerH(f)p_{f}\in{\rm Per}_{H}(f).)

So, if either λg+(pg)>htop(A)\lambda^{+}_{g}(p_{g})>h_{top}(A) or λg+(pg)<htop(A)\lambda^{+}_{g}(p_{g})<h_{top}(A) for some gDiff1(𝕋3)g\in\operatorname{Diff}^{1}(\mathbb{T}^{3}), this still holds in a C1C^{1}-neighborhood of gDiff1(𝕋3)g\in\operatorname{Diff}^{1}(\mathbb{T}^{3}).

 [Lemma 3.16]

Lemma 3.17.

It is possible to CC^{\infty}-perturb ff so that condition (3.1) is not satisfied for the continuation of an ff-periodic point pp.

Proof.
Case 1 - suppμ𝐦𝐦𝐞=𝕋𝟑:\mathbf{\operatorname{supp}\mu_{mme}=\mathbb{T}^{3}:} Compose ff with the time-one map of a CC^{\infty} vector field XX supported in a small neighborhood of pp. Any divergence-free XX is mm-invariant. The flow is also mm-invariant. A computation like this can be found in Section 4.

 [Case 1]

Case 2 - suppμ𝐦𝐦𝐞:\mathbf{\operatorname{supp}\mu_{mme}:} After a CC^{\infty}-perturbation of ff, it could happen that the continuation pgp_{g} of an ff-periodic point pfp_{f} no longer belongs to suppμmme(g)\operatorname{supp}\mu_{mme}(g). In fact, this is never the case in our setting:

If Kf=supp(μmme(f))K_{f}=\operatorname{supp}(\mu_{mme}(f)) and λAc>0\lambda^{c}_{A}>0, then Kf=𝕋3K_{f}=\mathbb{T}^{3} by Lemma 3.19. If λAc<0\lambda^{c}_{A}<0, KfK_{f} is the unique minimal set saturated by WuW^{u}-leaves (Theorem 3.3). Since the Hausdorff limit of compact uu-saturated sets is compact and uu-saturated, it follows that fKff\mapsto K_{f} is lower semicontinuous in the CrC^{r}-topology, for all r1r\geq 1. Then:

Claim 3.18.

If pfKfp_{f}\in K_{f} is an ff-hyperbolic periodic point with λfc(pf)<0\lambda_{f}^{c}(p_{f})<0, there exists a C1C^{1}-neighborhood 𝒰(f){\mathcal{U}}(f) of ff, so that the continuation pgp_{g} of pfp_{f} for gg belongs to Kg=supp(μg)K_{g}=\operatorname{supp}(\mu_{g}) for all g𝒰(f)g\in{\mathcal{U}}(f) .

Proof. dimWs(pf)=2\dim W^{s}(p_{f})=2 and Ws(pg)W^{s}(p_{g}) -also two dimensional - is C1C^{1}-close to Ws(pf)W^{s}(p_{f}) if gg is C1C^{1}-close to ff. The lower semicontinuity of fKff\mapsto K_{f} implies KgWs(pg)zK_{g}\cap W^{s}(p_{g})\ni z. If NN is the period of pgp_{g}, then Ws(pg)KggkN(z)pgW^{s}(p_{g})\cap K_{g}\ni g^{kN}(z)\to p_{g} when kk\to\infty (KgK_{g} is gg-invariant and Ws(pg)W^{s}(p_{g}) is gNg^{N}-invariant). pgp_{g} belongs to KgK_{g}, because KgK_{g} is closed.

 [Claim 3.18+Case 2]

The Corollary follows from Theorem A.

 [Corollary 3.15]

Lemma 3.19.

If the center Lyapunov exponent λc(A)\lambda^{c}(A) of AA is positive, and the measure of maximal entropy μmme(f)\mu_{mme}(f) of fDA1+α(A)f\in{\rm{DA}}^{1+\alpha}(A) is an SRB measure, then supp(μmme(f))=𝕋3\operatorname{supp}(\mu_{mme}(f))=\mathbb{T}^{3}. The stable foliation 𝒲s\mathcal{W}^{s} is a minimal foliation (Definition 3.2).

Proof.

supp(μmme(f))\operatorname{supp}(\mu_{mme}(f)) is the only minimal set with respect to the stable foliation WsW^{s} of ff (Theorem 3.3).

supp(μmme(f))\operatorname{supp}(\mu_{mme}(f)) also contains W+(x)W^{+}(x) for μmme(f)\mu_{mme}(f)-almost every xsuppmme(f)x\in\operatorname{supp}_{mme}(f) - see Proposition 2.7.

So, take Wloc+(x0)W^{+}_{loc}(x_{0}) contained in supp(μmme(f))\operatorname{supp}(\mu_{mme}(f)). It is transverse to the foliation WsW^{s} in a neighborhood of x0x_{0}. Ws(x)supp(μmme(f))W^{s}(x)\subset\operatorname{supp}(\mu_{mme}(f)) for all xWloc+(x0)x\in W^{+}_{loc}(x_{0}) (Why?).

This implies that supp(μmme(f))\operatorname{supp}(\mu_{mme}(f)) contains a non-empty open set OO,

O={Wlocs(x):xWloc+(x0)}.O=\bigcup\left\{W^{s}_{loc}(x):\>x\in W^{+}_{loc}(x_{0})\right\}.

Since supp(μmme(f))\operatorname{supp}(\mu_{mme}(f)) is the only minimal set with respect to the stable foliation of ff,

supp(μmme(f))Ws(x)¯x𝕋3.\operatorname{supp}(\mu_{mme}(f))\subset\overline{W^{s}(x)}\qquad\forall x\in\mathbb{T}^{3}.

Then OWs(x)O\cap W^{s}(x)\neq\emptyset for every x𝕋3x\in\mathbb{T}^{3} (Check). Then supp(μmme(f))=𝕋3\operatorname{supp}(\mu_{mme}(f))=\mathbb{T}^{3} and WsW^{s} is a minimal foliation. ∎

4. Proof of Theorem B

Let A:𝕋3𝕋3A:\mathbb{T}^{3}\to\mathbb{T}^{3} be a linear Anosov diffeomorphisms with λAc<0\lambda^{c}_{A}<0. We will perform a small perturbation in a neighborhood of the fixed point along the center-stable direction, à la Mañé.

As in [RHUY22], two things have to be taken care of:

  1. (1)

    the perturbation has to be partially hyperbolic,

  2. (2)

    the modulus of the expansion along the one-dimensional unstable direction has to be the same.

The unstable direction of the perturbation ff will be different from the unstable direction of AA.

Consider a vector field X:𝕋3T𝕋3X:\mathbb{T}^{3}\to T\mathbb{T}^{3} supported in a small ball containing a fixed point pp of AA. XX satisfies:

  1. (1)

    X(p)=(0,0,0)X(p)=(0,0,0),

  2. (2)

    X(x)EAcs(x)X(x)\in E^{cs}_{A}(x) for all x𝕋3x\in\mathbb{T}^{3}.

  3. (3)

    If we want the perturbation to be non-conservative, it is enough to ask that the divergence of XX at pp satisfy div(X)(p)0\operatorname{div}(X)(p)\neq 0,

There is a lot of freedom to fulfill these requirements.

Let φt:𝕋3𝕋3\varphi_{t}:\mathbb{T}^{3}\to\mathbb{T}^{3} be the flow of XX. f:𝕋3𝕋3f:\mathbb{T}^{3}\to\mathbb{T}^{3} is

f(x)=Aφ1(x)f(x)=A\varphi_{1}(x) (4.1)

The choice of the time-one map of {φt}t>0\left\{\varphi_{t}\right\}_{t>0} is nothing special. One can choose any t>0t>0. The condition (2) above implies that f(EAcs(x))=EAcs(f(x))f(E^{cs}_{A}(x))=E^{cs}_{A}(f(x)), then the foliation EAcsE^{cs}_{A} is ff-invariant. (Check.)

This implies:

Claim 4.1.

The unstable Lyapunov exponent of ff is defined for all x𝕋3x\in\mathbb{T}^{3} and

λfu(x)=λAu.\lambda^{u}_{f}(x)=\lambda^{u}_{A}.

Proof. The proof of this is classic. You can find it, for example, in [SW00]. The original proof is due to Mañé [Mn]. A brief explanation is that the unstable bundle of ff is contained in a uniformly sized cone around the unstable direction of AA. The fact that ff takes EAcsE^{cs}_{A}-planes to EAcsE^{cs}_{A}-planes implies that the length of fn(α)f^{n}(\alpha) is proportional to [λAu]n[\lambda^{u}_{A}]^{n}*(length α\alpha) for each ff-unstable segment α\alpha. This implies the claim.

 [Claim 4.1]

Claim 4.2.

ff has a unique uu-Gibbs measure μ\mu. μ\mu is and SRB measure and the measure of maximal entropy.

Proof. There is always a Gibbs measure for a partially hyperbolic diffeomorphism ff [PS82]. Dolgopyat has written an excellent survey on the topic [Dol10].

From [LY85a],

hμ(f)λfu(μ).h_{\mu}(f)\geq\lambda^{u}_{f}(\mu).

Claim 4.1 implies

λfu(μ)=λAu=htop(A).\lambda^{u}_{f}(\mu)=\lambda^{u}_{A}=h_{top}(A).

Theorem 3.3 implies htop(A)=htop(f)h_{top}(A)=h_{top}(f). Then μ\mu is the only measure of maximal entropy.

λc(μ)<0\lambda^{c}(\mu)<0 (Theorem 3.3), then the unstable Pesin manifold W+(x)W^{+}(x) of xx coincides with the strong unstable manifold Wu(x)W^{u}(x) of xx, μ\mu-almost every x𝕋3x\in\mathbb{T}^{3}.

So, μ\mu is also an SRB measure.

 [Claim 4.2]

If XX is C1C^{1} close to 0, ff in (4.1) is Anosov.

We can also choose a vector field C0C^{0}, but not C1C^{1} close to 0\vec{0} XX that keeps the property (2) true. Then ff as in (4.1) is a DA diffeomorphism, fDA(A)f\in{\rm{DA}}(A). There is plenty of freedom to find a non-Anosov ff that satisfies condition (1) of Theorem B. (Check.)

With the same technique, it is also possible to find ff so that

λc(f)λAcandλs(f)λAs\lambda^{c}(f)\neq\lambda^{c}_{A}\qquad\text{and}\qquad\lambda^{s}(f)\neq\lambda^{s}_{A}

satisfies condition (2). (Check.)

 [Theorem B]

Question 4.3.

Are there examples that fulfill the conditions of Theorem B that are neither Anosov nor volume-preserving when λAc>0\lambda^{c}_{A}>0?

5. Proof of the Main Theorem

The theorem below assumes that ff is a CC^{\infty} volume-preserving Anosov map satisfying (1.5), plus that all eigenvalues are real and distinct, and concludes that the conjugacy is smooth.

Many rigidity results assume that ff is Anosov, for instance [MM87a, MM87b, dlL87, dlLM88, GG08, GKS11, GKS20, SY19] just to mention a few.

Theorem 5.1.

[SY19] If fDA(A)f\in{\rm{DA}}^{\infty}(A) is a volume-preserving Anosov diffeomorphism with simple real eigenvalues with distinct absolute values and

λs(f)=λAs,λc(f)=λAc,andλu(f)=λu(A),\lambda^{s}(f)=\lambda^{s}_{A},\qquad\lambda^{c}(f)=\lambda^{c}_{A},\qquad\text{and}\qquad\lambda^{u}(f)=\lambda^{u}(A),

then f is CC^{\infty} conjugate to AA.

Suppose that ff is in DA1+α(A){\rm{DA}}^{1+\alpha}(A) and

λs(f)=λAs,λc(f)=λAc,and λu(f)=λAu.\lambda^{s}(f)=\lambda^{s}_{A},\qquad\lambda^{c}(f)=\lambda^{c}_{A},\qquad\text{and }\qquad\lambda^{u}(f)=\lambda^{u}_{A}.

We want to prove that ff is Anosov. Assume that λc(f)=λAc>0\lambda^{c}(f)=\lambda^{c}_{A}>0.

From the Pesin entropy formula (2.3) and the equalities above it follows that mm is the entropy maximizing measure for ff, since

hm(f)=λ+(f)=λA+=hm(A)=htop(A).h_{m}(f)=\lambda^{+}(f)=\lambda^{+}_{A}=h_{m}(A)=h_{top}(A).

The semiconjugacy hh takes the entropy maximizing measure for ff into Lebesgue measure by Theorem 3.3. So,

h(m)=m.h_{*}(m)=m.

5.1. Basic notations

These concepts can be found in [LY85b]. We briefly summarize them here for self-containment.

  1. (1)

    A μ\mu-measurable partition is increasing with respect to a μ\mu-preserving homeomorphism g:𝕋3𝕋3g:\mathbb{T}^{3}\to\mathbb{T}^{3} if η\eta refines gηg\eta, i.e. g(η(x))η(g(x))g(\eta(x))\supset\eta(g(x)) μ\mu-almost every xx, where η(x)\eta(x) denotes the element of η\eta that contains xx. We denote a gg-increasing partition η\eta by η>gη\eta>g\eta.

  2. (2)

    For μ\mu-measurable partitions η\eta and ν\nu, Hμ(ην)H_{\mu}(\eta\mid\nu) denotes the mean conditional entropy of η\eta given ν\nu, i.e.

    Hμ(ην)=T3μηx(ν(x)).μηx(η(x)ν(x)).logμηx(η(x)ν(x))dμ(x),H_{\mu}(\eta\mid\nu)=-\int_{T^{3}}\mu_{\eta}^{x}(\nu(x))\,.\,\mu_{\eta}^{x}(\eta(x)\mid\nu(x))\,.\,\log\mu_{\eta}^{x}(\eta(x)\mid\nu(x))\>\>d\mu(x),

    where

    μηx(η(x)ν(x))=μηx(η(x)ν(x))μηx(ν(x)),\mu_{\eta}^{x}(\eta(x)\mid\nu(x))=\frac{\mu_{\eta}^{x}(\eta(x)\cap\nu(x))}{\mu_{\eta}^{x}(\nu(x))},

    and if μηx(ν(x))=0\mu_{\eta}^{x}(\nu(x))=0 then we omit it, adopting the usual convention 0.log0=00.\log 0=0. μηx\mu_{\eta}^{x} is the normalized probabiliy meausre μ\mu, on the set η(x)\eta(x).

5.2. Strategy

  1. (1)

    Obtain an increasing partition η\eta subordinate to EAcE^{c}_{A} for which Hm(η|Aη)=λAcH_{m}(\eta|A\eta)=\lambda^{c}_{A}.

  2. (2)

    Pull back the partition, defining ξ=h1(η)\xi=h^{-1}(\eta).

  3. (3)

    Show that Hm(ξ|fξ)=λc(f)=λAcH_{m}(\xi|f\xi)=\lambda^{c}(f)=\lambda^{c}_{A}.

For any partition η\eta subordinate to EAcE_{A}^{c} (the AA-invariant center foliation) define ξ(η)\xi(\eta) as the partition subordinate to c\mathcal{F}^{c}, the ff-invariant center foliation obtained by taking the pre-image of η\eta via the semiconjugacy hh. The partition ξ(η)\xi(\eta) is well defined mm-a.e. xx and is subordinate to c\mathcal{F}^{c} since Wfc(x)Wf+(x)W^{c}_{f}(x)\subset W^{+}_{f}(x) mm-almost every x𝕋3x\in\mathbb{T}^{3} by the Lemma 3.9.

mxf,cm_{x}^{f,c} is the Lebesgue measure induced in ξ(x)\xi(x) by the Riemannian structure of 𝕋3\mathbb{T}^{3} on Wf,locc(x)W^{c}_{f,loc}(x). For mm-almost every x𝕋3x\in\mathbb{T}^{3}, μxf,c\mu^{f,c}_{x} is the measure given by the Rokhlin decomposition, the one satisfying for any measurable set B𝕋3B\subset\mathbb{T}^{3} the property:

m(B)=𝕋3μxf,c(ξ(x)B)𝑑m.m(B)=\int_{\mathbb{T}^{3}}\mu^{f,c}_{x}(\xi(x)\cap B)dm. (5.1)
Lemma 5.2.

There is a partition ξ\xi subordinate to fc\mathcal{F}^{c}_{f} so that the measures mxf,cm^{f,c}_{x} and μxf,c\mu^{f,c}_{x} are equivalent for mm-almost every x𝕋3x\in\mathbb{T}^{3}.

Proof. We loosely follow [Led84, Théorèm 4.8]. See [LY85b, Theorem A] for a friendlier version. Pesin’s formula implies absolute continuity. We use this idea adapted to the center foliation.

mm is ergodic. ξ\xi is an increasing partition subordinate to c\mathcal{F}^{c}, see below. We show that Hm(ξ|fξ)=λc(f)=λAcH_{m}(\xi|f\xi)=\lambda^{c}(f)=\lambda^{c}_{A} implies that μxf,c\mu^{f,c}_{x} is equivalent to mxf,cm^{f,c}_{x} for mm-a.e.

Claim 5.3.

There is a partition η\eta subordinate to EAcE^{c}_{A} so that Hm(η|Aη)=λAcH_{m}(\eta|A\eta)=\lambda^{c}_{A}.

Proof. Any partition η\eta subordinate to EAcE^{c}_{A} satisfies

Hm(η|Aη)=logμyA,c(η(y))𝑑m(y).H_{m}(\eta|A\eta)=-\int\log\mu^{A,c}_{y}(\eta(y))dm(y). (5.2)

μyA,c\mu^{A,c}_{y} are the conditional measures associated with the partition AηA\eta.

If 𝒩{\mathcal{N}} is a Markov partition associated with AA, one can obtain a partition subordinated to EAcE^{c}_{A} by taking intersections with the center lines of EAcE^{c}_{A} and considering connected components. This new partition η\eta satisfies the claim.

η\eta is increasing with respect to AA  (η(Ay)Aη(y)\eta(Ay)\subset A\eta(y) for mm-almost all y𝕋3y\in\mathbb{T}^{3}). The reader can check it herself. Then, the partition η\eta is generating:

nAnη(Any)={y}.\bigcap_{n\in\mathbb{N}}A^{-n}\eta(A^{n}y)=\{y\}.

Then,

η(z)Aη(y)zAη(y),m-a.e.y𝕋3.\eta(z)\subset A\eta(y)\quad\forall z\in A\eta(y),\quad m{\text{-}a.e.}y\in\mathbb{T}^{3}.

The conditional measures for both η\eta and AηA\eta are the normalized Lebesgue measure along the center space EAcE^{c}_{A} on each of the elements of each partition. So,

μyA,c(η(y))=|η(y)||Aη(y)|=|A1η(y)||η(A1(y))|=exp(λAc)|η(y)||η(A1(y))|,\mu^{A,c}_{y}(\eta(y))=\frac{|\eta(y)|}{|A\eta(y)|}=\frac{|A^{-1}\eta(y)|}{|\eta(A^{-1}(y))|}=\frac{\exp(-\lambda^{c}_{A})|\eta(y)|}{|\eta(A^{-1}(y))|},

where |.||.| denotes the length.
Applying these equalities to Formula (5.2), we get:

Hm(η|Aη)=(log(exp(λAc))+log|η(y)|log|η(A1(y))|)𝑑m(y).H_{m}(\eta|A\eta)=-\int(\log(\exp(-\lambda^{c}_{A}))+\log|\eta(y)|-\log|\eta(A^{-1}(y))|)dm(y).

The fact that mm is AA-invariant implies Hm(η|Aη)=λAcH_{m}(\eta|A\eta)=\lambda^{c}_{A}.

 [Claim 5.3]

Take the partition ξ=h1(η)\xi=h^{-1}(\eta). Check that the elements ξ(x)\xi(x) of ξ\xi are connected. The claim below is a consequence of this definition.

Claim 5.4.

The partition ξ\xi is increasing.

Claim 5.5.

Hm(ξ|fξ)=λc(f)H_{m}(\xi|f\xi)=\lambda^{c}(f).

Proof. hh is a metric isomorphism between (A,m)(A,m) and (f,m)(f,m). Then

h1(μxA,c)=μh1(x)f,cm-almost every x𝕋3.h^{-1}_{*}(\mu^{A,c}_{x})=\mu^{f,c}_{h^{-1}(x)}\qquad m\text{-almost every }x\in\mathbb{T}^{3}. (5.3)

So,

m(B)=m(h(B))=μxA,c(h(B))𝑑m=h1μxA,c(B)d(h1m)=h1μxA,c(B)𝑑mm(B)=m(h(B))=\int\mu^{A,c}_{x}(h(B))dm=\int h^{-1}_{*}\mu^{A,c}_{x}(B)d(h^{-1}_{*}m)=\int h^{-1}_{*}\mu^{A,c}_{x}(B)dm

for any measurable set BB. The uniqueness of Rokhlin decomposition implies (5.3).

Then, Hm(ξ|fξ)=Hm(η|Aη)H_{m}(\xi|f\xi)=H_{m}(\eta|A\eta) by definition of ξ\xi.

 [Claim 5.5]

Claim 5.6.

mxf,cm_{x}^{f,c} and μxf,c\mu_{x}^{f,c} are equivalent mm-almost every x𝕋3x\in\mathbb{T}^{3} for the partition ξ\xi.

Proof. μxf,c\mu^{f,c}_{x} and mxf,cm_{x}^{f,c} are equivalent if and only if there is an L1L^{1}-function ρxc>0\rho^{c}_{x}>0 so that μxf,c(y)=ρxc(y).mxf,c(y)\mu^{f,c}_{x}(y)=\rho^{c}_{x}(y).m^{f,c}_{x}(y) for mm-almost x𝕋3x\in\mathbb{T}^{3}.

A long straightforward computation implies ρxc(y)\rho^{c}_{x}(y) has the form (see [LY85b, Theorem A]):

ρxc(y)=Δc(x,y)WDc(x)Δc(x,y)𝑑mxc,Δc(x,y)=i=1+Jfc(fi(x))i=1+Jfc(fi(y)).\rho^{c}_{x}(y)=\frac{\Delta^{c}(x,y)}{\int_{W_{D}^{c}(x)}\Delta^{c}(x,y)dm^{c}_{x}},\qquad\Delta^{c}(x,y)=\frac{\prod_{i=1}^{+\infty}Jf^{c}(f^{-i}(x))}{\prod_{i=1}^{+\infty}Jf^{c}(f^{-i}(y))}. (5.4)

Sicnce ylogΔc(x,y)y\mapsto\log\Delta^{c}(x,y) is Hölder and ξ(x)Wlocc(x)Wloc+(x)\xi(x)\subset W^{c}_{loc}(x)\subset W^{+}_{loc}(x), logΔc(x,y)\log\Delta^{c}(x,y) is bounded from above and away from zero on ξ(x)\xi(x) for mm-almost x𝕋3x\in\mathbb{T}^{3}.

 [Claim 5.6 + Lemma 5.2]

Claim 5.7.

The center Jacobian JhcJh^{c} is defined mm-almost everywhere. It is measurable, and so is logJhc\log Jh^{c}.

Proof. Consider an interval BB in ξ(x)Wf,locc(x)\xi(x)\subset W^{c}_{f,loc}(x). Then,

μxf,c(B)=Bρx𝑑mxf,c=hμxf,c(h(B))=1|ηh(x)|mh(x)A,c(h(B)).\mu_{x}^{f,c}(B)=\int_{B}\rho_{x}dm_{x}^{f,c}=h_{*}\mu^{f,c}_{x}(h(B))=\frac{1}{|\eta_{h(x)}|}m^{A,c}_{h(x)}(h(B)).

So Jhc=|ηh(x)|.ρxcJh^{c}=|\eta_{h(x)}|.\rho_{x}^{c}mm-almost everywhere. This shows that logJhc\log Jh^{c} is a measurable function.

 [Claim 5.7]

Claim 5.8.

logJhc\log Jh^{c} satisfies the cohomological equation

logJfc(x)λAc=ϕ(x)ϕ(f(x))m-a.e.x.\log Jf^{c}(x)-\lambda^{c}_{A}=\phi(x)-\phi(f(x))\quad m{\text{-}a.e.}x. (5.5)

Proof. The center Jacobian of

hf(x)=Ah(x)h\circ f(x)=Ah(x)

is mm-almost everywhere equal to

Jhc(f(x))Jfc(x)=JAcJhc(x).Jh^{c}(f(x))Jf^{c}(x)=JA^{c}Jh^{c}(x).

Its log\log is

logJhc(f(x))+logJfc(x)=λAc+logJhc(x)\log Jh^{c}(f(x))+\log Jf^{c}(x)=\lambda^{c}_{A}+\log Jh^{c}(x)

and it is defined mm-almost everywhere.

 [Claim 5.8]

Claim 5.9.

Either ff is Anosov, or else JhcJh^{c} coincides mm-almost everywhere with a continuous function ϕ\phi satisfying the cohomological equation (5.5).

Proof. If ff is not accessible, then ff is Anosov, [GS20, Corollary 1.1].

Assume that ff is accessible. Wilkinson’s theorem [Wil13, Theorem A (III)] implies logJhc\log Jh^{c} coincides mm-almost everywhere with a continuous function ϕ\phi which is a solution of (5.5).

 [Claim 5.9]

Claim 5.10.

f|Ecf|_{E^{c}} is uniformly expanding. So, ff is Anosov.

Proof.

λc(μ)=λAc>0,\lambda^{c}(\mu)=\lambda^{c}_{A}>0,

for all ergodic invariant measures μ\mu (Claim 5.9).

If ff were not Anosov, there would be a unitary vector vcEcv^{c}\in E^{c}, so that for every ε>0\varepsilon>0 there is a converging sequence {xn}n\{x_{n}\}_{n} such that Dfn(xn)vcεn\|Df^{n}(x_{n})v^{c}\|\leq\varepsilon^{n} with nn\to\infty. Any accumulation point of the measures

μn=1nk=0n1δfk(xn)\mu_{n}=\frac{1}{n}\sum_{k=0}^{n-1}\delta_{f^{k}(x_{n})}

would produce an ergodic invariant measure μ\mu such that λc(μ)0\lambda^{c}(\mu)\leq 0, a contradiction. (5.2) implies that ff is Anosov.

 [Claim 5.10 + Main Theorem.]

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