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Entropy of Physical Measures for \(C^\infty \) Dynamical Systems

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Abstract

For a \(C^\infty \) map f on a compact manifold M we prove that for a Lebesgue randomly picked point x there is an empirical measure from x with entropy larger than or equal to the top Lyapunov exponent of \(\Lambda \, df:\Lambda \,TM\circlearrowleft \) at x. This contrasts with the well-known Ruelle inequality. As a consequence we give some refinement of Tsujii’s work [23] relating physical and Sinai-Ruelle-Bowen measures.

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Notes

  1. The example given in the “Appendix” is on the interval. Following the same approach we build in a forthcoming work [7] such counter-examples of surface diffeomorphisms.

  2. By \(\bigcup _{i\in I}A_i\Supset B \) we mean that \(\bigcup _{i\in I}A_i\supset B \) and \(A_i\cap B\ne \emptyset \) for all \(i\in I\).

  3. Of course we only reparametrize in this a way the subset \(\sigma (\alpha [0,1]^k)\). But one can reparametrize similarly \(\sigma (C_\alpha )\) for any subcube \(C_\alpha \) of \([0,1]^k\) of size \(\alpha \) and we only need \(\lceil \alpha ^{-1}\rceil ^{d}\) such subcubes to cover \([0,1]^k\).

  4. The \(C^r\) norm of a \(C^r\) smooth interval map f is the maximum over \(k=0,\ldots ,r\) of the supremum norms \(\Vert f^{(k)}\Vert _\infty \).

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Correspondence to David Burguet.

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Communicated by C. Liverani

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Appendices

Appendix A. Counter-Example for \(C^r\) Interval Maps for Any Finite r

For any positive integer r we give an example of a \(C^r\) (but not \(C^{r+1}\)) interval map \(h:[0,3/2]\circlearrowleft \) such that for x in a positive Lebesgue measure set the following properties hold:

  1. (1)

    the empirical measures \((\mu _n^x)_n\) are converging to the Dirac measure at a fixed point (therefore with zero entropy),

  2. (2)

    the Lyapunov exponent at x satisfies \(\chi (x)=\frac{\log \Vert h'\Vert _\infty }{r}>0\).

Consequently the Main Theorem does not hold true in finite smoothness.

Step 1 Let \(\lambda >1\). We first consider a \(C^r\) (even \(C^\infty \)) interval map \(f:[0,3/2]\circlearrowleft \) with the following properties

  • \(f(0)=f(1)=0\),

  • f has a tangency of order r at 1, i.e. \(f^{(k)}(1)=0\) for \(k=1,\ldots ,r\),

  • f is affine with a slope equal to \(\lambda =\Vert f'\Vert _{\infty }\) on the interval \([0, 1/\lambda ]\).

Step 2 After a small \(C^\infty \) perturbation of f around 1 we may build a new map g such that for some \(n_0\) and \(n\ge n_0\), \(g^k(1-1/n)\) lies in \([0, 1/\lambda ]\) for \(k=1,\ldots ,r^n-1\) and \(g^{r^{n}}(1-1/n)=1-1/n+1\). Indeed these conditions require \(g(1-1/n)=(1-1/n+1)\lambda ^{-r^n+1}=o(1/n^r)\), so that one can choose g arbitrarily \(C^\infty \) closed to f by taking \(n_0\) large enough. For the interval map g, the empirical measures at \(1-1/n\) are converging to the Dirac measure at the fixed point 0. We may also assume g is constant on \(J_n:=[1-1/n, 1-1/n-1/2n^2]\) for \(n\ge n_0\).

Fig. 1
figure 1

The graph ofg The arrows and points in blue represent the orbit of \(1-1/n\in J_n\)

Step 3 We lastly modify g on \(J_n\), \(n\ge n_0\) such that the resulting map h satisfies the desired properties. Let us first introduce an auxiliary family of functions \((f_p)_{p\in \mathbb {N}}\). For any p we define \(f_p\) as the tent map \(x\mapsto \max (x,1-x)\) on \([1/p,1/2-1/p]\cup [1/2+1/p,1-1/p]\). We extend it into a \(C^r\) smooth interval map in such a way \(f_p\) vanishes and admits a tangency of order r at the points 0, 1 / 2 and 1. Finally we extend \(f_p\) periodically on the whole real axis. The intervals \([1/p,1/2-1/p]+k\) and \( [1/2+1/p,1-1/p]+k\) for \(k\in \mathbb {Z}\) are called the affine branches of \(f_p\). Observe that the \(C^r\) normFootnote 4 of \(f_p\) may be chosen of order \(p^{r}\). Then we let h be \(x\mapsto \alpha _nf_{n^2}\left( (x-1+1/n) 2n^2N_n\right) +g(1-1/n)\) on \(J_n\) where \(\alpha _n\in \mathbb {R}^+\) and \(N_n\in \mathbb {N}\) are chosen such that

  • for each affine branch \(I_n\) in \(J_n\),

    $$\begin{aligned} h^{k}(I_n)\subset [0,1/\lambda ]\quad \text {for }k=1,\ldots ,r^n-1 \end{aligned}$$

    and

    $$\begin{aligned} h^{r^{n}}(I_n)=J_{n+1}, \end{aligned}$$
  • the \(C^r\) norm of h on \(J_n\) goes to zero with n.

The first and second conditions are respectively fulfilled whenever

$$\begin{aligned} \lambda ^{r^{n}-1}\times \alpha _n(1/2-2/n^2)= 1/2(n+1)^2 \end{aligned}$$

and

$$\begin{aligned} \max _{k=1,\ldots ,r} \Vert f^{(k)}_{n^2}\Vert _\infty \times \alpha _n\times (2n^2N_n)^r\sim n^{2r}\times \alpha _n\times (2n^2N_n)^r=1/n. \end{aligned}$$
Fig. 2
figure 2

The graph ofhon\(J_n\)in red. The arrows and intervals in blue represent the image \(J_{n+1}\) of an affine branch \(I_n\) under \(h^{r^n}\)

Conclusion Let \(E_n=\bigcup _{I_n}I_n\) be the union of affine branches in \(J_n\) and let \(E=E_{n_0}\cap h^{-r^{n_0}}E_{n_0+1} \cap h^{-r^{n_0}-r^{n_0+1}}E_{n_0+2}\cap \cdots \) be the subset of points in \(J_{n_0}\) visiting successively the sets \(E_n\), \(n\ge n_0\). Clearly E is contained in the basin of the Dirac measure at 0. To conclude it remains to see that E has positive Lebesgue measure and that \(\chi (x)\ge \frac{\log \lambda }{r}\) for any x in E. The set E is an affine dynamically defined Cantor set where we remove a proportion of \(4/n^2\) at the nth step. Therefore \(\mathop {{\mathrm {Leb}}}(E)=\mathop {{\mathrm {Leb}}}(E_{n_0})\prod _{n>n_0}(1-4/n^2)>0\). Finally as \(\log |h'|\) is equal on \(I_n\) to \( \log (\alpha _n4n^2N_n)\sim \frac{r-1}{r}\log \alpha _n\sim -r^{n-1}(r-1)\log \lambda \), the Lyapunov exponent at any \(x\in E\) is given by

$$\begin{aligned} \chi (x)= & {} \limsup _p\frac{1}{p}\log |(h^p)'(x)|,\\= & {} \log \lambda \lim _q \frac{\sum _{q\ge n\ge n_0} \left( r^{n}-r^{n-1}(r-1)\right) }{\sum _{n\ge n_0} r^{n}},\\= & {} \frac{\log \lambda }{r}. \end{aligned}$$

Observe that any point in E is not recurrent.

Appendix B. Essential Range of \(x\mapsto p\omega (x)\)

We recall here the definition of the essential range of a Borel map with respect to a Borel measure. Finally we relate the set of physical-like measures of a topological system (Mf) with the essential range of \(M\ni x\mapsto p\omega (x)\).

We consider two metric spaces X and Y with Y separable. Let m be a Borel measure on X and \(\phi :X\rightarrow Y\) be a Borel map.

Definition 1

With the above notations the essential range \(\overline{\mathop {{\mathrm {Im}}}}_m(\phi )\) of \(\phi \) with respect to m is the complement of \(\{y\in Y, \ \exists U \text { open with }y\in U \text { and }m(\phi ^{-1}U)=0\}\).

The set \(\overline{\mathop {{\mathrm {Im}}}}_m(\phi )\) is a closed subset of Y and for m-almost every x the point \(\phi (x)\) belongs to \(\overline{\mathop {{\mathrm {Im}}}}_m(\phi )\). Moreover it is the smallest set satisfying these properties.

Lemma 8

Let (Mf) be a topological system. The map \(p\omega : x\mapsto p\omega (x)\) from M to \(\mathcal {KM}(M)\) is Borel.

Proof

As the set \(\mathcal {KM}(M)\) is separable, it is enough to show \(p\omega ^{-1}(B)\) is a Borel subset of M for any closed ball B of \(\mathcal {KM}(M)\). Let B be the closed ball of radius \(\epsilon \) centered at \(K\in \mathcal {KM}(M)\), i.e. the set of compact subsets \(K'\) of M with \(K'\subset K_{\epsilon }\) and \(K\subset K'_\epsilon \) where \(K_\epsilon \) and \(K'_\epsilon \) denote respectively the closed \(\epsilon \)-neighborhoods of K and \(K'\). Firstly observe that \(\{x\in M, \ p\omega (x)\subset K_{\epsilon }\}\) is closed. Then for a fixed sequence \((k_n)_{n\in \mathbb {N}}\) dense in K the following properties are equivalent:

$$\begin{aligned}&K\subset (p\omega (x))_\epsilon ,&\\ \Leftrightarrow&\mathfrak {d}(k_n, p\omega (x))\le \epsilon \qquad \qquad \text { for all }n,\\ \Leftrightarrow&\liminf _p \mathfrak {d} (k_n,\mu _x^p)<\epsilon ' \qquad \text { for all }n \text { and }\mathbb {Q}\ni \epsilon '>\epsilon . \end{aligned}$$

The functions \(x\mapsto \mathfrak {d} (k_n,\mu _x^p)\) being continuous we conclude that \(p\omega ^{-1}(B)\) is a Borel set. \(\square \)

Lemma 9

The set \(\mathcal {PL}(m)\) of physical-like measures is the union of all \(K\in \overline{\mathop {{\mathrm {Im}}}}_m(p\omega )\).

Proof

Firstly, the set \(\overline{\mathop {{\mathrm {Im}}}}_m(p\omega )\) being a compact subset of \(\mathcal {KM}(M)\), the set \(\bigcup _{K\in \overline{\mathop {{\mathrm {Im}}}}_m(p\omega )}K\) is a compact subset of M. Therefore, from the definitions we get \(\mathcal {PL}(m)\subset \bigcup _{K\in \overline{\mathop {{\mathrm {Im}}}}_m(p\omega )}K\). We argue by contradiction to prove the converse inclusion. Assume there is \(K\in \overline{\mathop {{\mathrm {Im}}}}_m(p\omega )\) such that K is not contained in \(\mathcal {PL}(m)\). Then this also holds for any \(K'\) close enough to K. Therefore there exists an open neighborhood U of K such that \(p\omega ^{-1}(U)\) has positive m-measure and for all x in this set \(p\omega (x)\) is not contained in \(\mathcal {PL}(m)\). It is impossible by definition of \(\mathcal {PL}(m)\). \(\quad \square \)

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Burguet, D. Entropy of Physical Measures for \(C^\infty \) Dynamical Systems. Commun. Math. Phys. 375, 1201–1222 (2020). https://doi.org/10.1007/s00220-019-03516-2

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