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Homoclinic tangencies leading to robust heterodimensional cycles

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Abstract

We consider \(C^r\) (\(r\geqslant 1\)) diffeomorphisms f defined on manifolds of dimension \(\geqslant 3\) with homoclinic tangencies associated to saddles. Under generic properties, we show that if the saddle is homoclinically related to a blender then the diffeomorphism f can be \(C^r\) approximated by diffeomorphisms with \(C^1\) robust heterodimensional cycles. As an application, we show that the classic Simon–Asaoka’s examples of diffeomorphisms with \(C^1\) robust homoclinic tangencies also display \(C^1\) robust heterodimensional cycles. In a second application, we consider homoclinic tangencies associated to hyperbolic sets. When the entropy of these sets is large enough we obtain \(C^1\) robust cycles after \(C^1\) perturbations.

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Notes

  1. Any robust cycle provides a persistent cycle. As far as we know, it is unknown the existence of persistent cycles that are not robust (meaning that the saddle belongs to a hyperbolic set with a robust cycle).

  2. Note that if \(f\in \mathrm {Diff}^r(M)\), \(r\geqslant 1\), then every \(C^1\) neighbourhood of f contains a \(C^r\) neighbourhood of f. Hence, if f has a \(C^1\) robust cycle then it also has a \(C^r\) robust cycle.

  3. We thank S. Crovisier for explaining us this subtle point of the proofs.

  4. Let us summarise some settings where blenders play key roles. Blenders were initially defined as having central dimension one. Currently, there are versions (as the ones here) where the central dimensions are greater than one. Applications of blenders of central dimension one include: robustly transitive dynamics [17], robust heterodimensional cycles [18, 36], robust homoclinic tangencies [19], stable ergodicity [48], and construction of nonhyperbolic ergodic measures [14], among others. Blenders with larger central dimensions were introduced in [7, 38] to study instability problems in symplectic dynamics, in [9] to obtain robust heterodimensional cycles of large coindex, and in [3, 6] to get robust tangencies of large codimension. Blenders of large central dimension also appear in the study of ergodicity of conservative partial hyperbolic systems [4], of holomorphic dynamics [13, 26, 53], and of parametric families of maps (endomorphisms in [10, 12] and diffeomorphisms [8]).

  5. Throughout this paper, \(C^1\) embeddings are identified with their images in the ambient manifold.

  6. A local unstable manifold of P is any disk contained in \(W^u (P,f)\) of the same dimension as \(W^u(P,f)\) that contains P in its interior. A local stable manifold is similarly defined.

  7. Since A has eigenvalues \(\tau>\rho >0\) it follows \((\tau +\rho )^2-4\tau \rho >0\). Let

    $$\begin{aligned} \mathrm {tr}(\varphi ) = \mathrm {trace} (A_\varphi )=(a_{11} + a_{22}) \cos \varphi + (a_{21} + a_{12}) \sin \varphi . \end{aligned}$$

    Observe that \(A_\varphi \) is hyperbolic, parabolic, or elliptic, respectively, if and only if

    $$\begin{aligned} \mathrm {tr}(\varphi )^2 - 4 \tau \rho = \mathrm {tr}(\varphi )^2- 4\, \mathrm {det}(A_\varphi ) \end{aligned}$$

    is positive, zero, or negative. Note that \( \mathrm {tr} (\varphi )\) has at most one critical point on \((0,\pi ]\). As

    $$\begin{aligned} \mathrm {tr}(0) = \tau + \rho \geqslant 2 \sqrt{\tau \rho } \quad \text{ and } \quad \mathrm {tr} (\pi ) = - \mathrm {tr}(0) = -(\tau +\rho ) \end{aligned}$$

    there is a unique \(\varphi _0 \in (0,\pi ]\) with \( \mathrm {tr} (\varphi _0) = 2 \sqrt{\tau \rho }\). Then \( \mathrm {tr} (\varphi ) > 2 \sqrt{\tau \rho }\) if \(\varphi \in (0,\varphi _0)\) and \( \mathrm {tr} (\varphi ) < \sqrt{\tau \rho }\) if \(\varphi \in (\varphi _0, \pi ]\). The former implies that \(A_\varphi \) is is hyperbolic if \(\varphi \in (0,\varphi _0)\) and elliptic for \(\varphi >\varphi _0\) close enough to \(\varphi _0\).

  8. Compare with the case of Anosov diffeomorphisms, see for instance [43,  Section 7.1]

  9. The notation \(f \asymp g\) means that there are constants \(C,D>0\) such that \(C\,|g|< |f|< D\, |g|\).

  10. A horseshoe \(\Lambda \) is said affine if there are a neighbourhood U of \(\Lambda \) and a chart \(\varphi :U\rightarrow \mathbb {R}^{d}\) such that \(\varphi \circ f \circ \varphi ^{-1}\) is locally affine in U. If the chart \(\varphi \) can be chosen such that \(D(\varphi \circ f \circ \varphi ^{-1})(x)\) is a matrix A independent of x, we say that \(\Lambda \) has constant linear part A.

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Correspondence to Sebastián A. Pérez.

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Pablo G. Barrientos and Lorenzo J. Díaz were supported [in part] by CAPES finance code 001 (Brazil), CNPq Projeto Universal and CNPq research grants (Brazil). PGB was partially supported by FAPERJ grant JCNE and grant PID2020-113052GB-I00 funded by MCIN/AEI/10.13039/501100011033 (Spain). Lorenzo J. Díaz was partially supported by grant E-16/2014 INCT/FAPERJ (Brazil) and ANID PCl MEC 80190005 (Chile). Sebastián A. Pérez was partially supported by FONDECYT Iniciación No. 11220583 (Chile). The authors thank an anonymous referee for the careful reading of the manuscript and the helpful suggestions.

Appendices

Appendix: Horseshoes with large entropy and blenders. Proof of Theorem 1.4

In this appendix, we explain how Theorem 1.4 follows from the results in [4].

By the assumption, the hyperbolic measure \(\mu \) is such that there is \(\epsilon >0\) with

$$\begin{aligned} h_{\mu }(f) > -\log \mathrm {J}_{\mu }^{cs}(f)+ \frac{1}{2 r} \chi ^{cs}_{\mu }(f) + \epsilon . \end{aligned}$$
(7.2)

Applying [4,  Theorem B\('\)] to the hyperbolic measure \(\mu \), given any \(\delta >0\) we get \(C^1\) perturbation \(h \in \mathrm {Diff}^r(M)\) of f with an affine horseshoeFootnote 10\(\Gamma _\delta \) whose hyperbolic splitting \(E_\delta ^s\oplus E_\delta ^u\) satisfies

  • \(\Gamma _\delta \) has a constant linear part \(A_\delta \) which is a diagonal matrix with distinct real positive eigenvalues,

  • The Lyapunov exponents of \(\mu \) are \(\delta \)-close to the Lyapunov exponents of \(A_\delta \). In particular,

    $$\begin{aligned} \mathrm {Jac}_{E^s_\delta }(A_\delta ) \rightarrow \mathrm {J}^s_\mu \quad \text{ and } \quad \chi ^{cs}(A_\delta ) \rightarrow \chi ^{cs}_\mu \quad \text{ as }\,\delta \rightarrow 0, \end{aligned}$$

    where \(\mathrm {Jac}_{E_\delta ^s}(A_\delta ){\mathop {=}\limits ^{\scriptscriptstyle \mathrm{def}}}\det A_\delta |_{E_\delta ^s}\) and \(\chi ^{cs}(A_\delta )\) is the negative Lyapunov exponent of \(A_\delta \) closest to zero. From this convergence, taking \(\delta >0\) small enough, we have

    $$\begin{aligned} \begin{aligned} -\log \mathrm {J}^{s}_{\mu }+ \frac{\epsilon - \delta }{2}&> -\log \mathrm {Jac}_{E_\delta ^s}(A_\delta ) \quad \text{ and }\\ \frac{1}{2 r} \chi ^{cs}_{\mu } + \frac{\epsilon - \delta }{2}&> \frac{1}{2 r} \chi ^{cs}(A_\delta ), \end{aligned} \end{aligned}$$
    (7.3)
  • \(\Gamma _\delta \) is \(\delta \)-close to the support of \(\mu \) in Hausdorff distance,

  • \(h_{\mathrm {top}}({\Gamma _\delta },{h_\delta })>h_{\mu }(f)-\delta \).

The last inequality implies that

$$\begin{aligned} \begin{aligned} h_{\mathrm {top}}({\Gamma _\delta },{h_\delta })&>h_{\mu }(f)-\delta \overset{(8.1)}{\geqslant } -\log \mathrm {J}^{s}_{\mu }+ \frac{1}{2 r} \chi ^{cs}_{\mu } + \varepsilon - \delta \\&\overset{(8.2)}{>} -\log \mathrm {Jac}_{E_\delta ^s}(A_\delta )+ \frac{1}{2 r} \chi ^{cs}(A_\delta ). \end{aligned} \end{aligned}$$
(7.4)

Observe that the inequality in (7.4) allows us to apply [4,  Theorem C] to the affine horseshoe \(\Gamma _\delta \) of \(h_\delta \), getting a perturbation \(g_\delta \) of \(h_\delta \) supported in a small neighbourhood of \(\Gamma _\delta \) such that the continuation \(\Gamma _{g_\delta }\) of \(\Gamma _\delta \) is a cs-blender of central dimension \(d_{cs}=m-1\) with a dominated splitting whose bundles are one-dimensional. Taking now a sequence \((\delta _k)\rightarrow 0\), for each large k we get diffeomorphisms \(h_k=h_{\delta _k}\) and perturbations \(g_k\) of \(h_k\) with blenders \(\Gamma _k\) as before. These blenders satisfy conditions (1), (2), and (3) in the theorem.

To conclude the proof of the theorem, it remains to see that if the saddle P is homoclinically related to \(\mu \) then we can chose the perturbations \(g_k\) such that the continuations \(P_k\) of P and \(\Gamma _k\) of \(\Gamma \) are homoclinically related. To see this, we need to review the steps in the proof of [4,  Theorem B\('\)], which is a combination of [4,  Theorem B] and Katok’s approximation theorem [33] and its extensions in [4,  Theorem. 3.3] and [22,  Theorem 2.12].

The first step is to apply Katok’s approximation theorem to the hyperbolic measure \(\mu \) of f to obtain a horseshoe \(\Lambda \) of f such that:

  1. (a)

    \(\Lambda \) is homoclinically related to \(\mu \),

  2. (b)

    \(\Lambda \) is close to the support of \(\mu \) in the Hausdorff distance,

  3. (c)

    the topological entropy of \(\Lambda \) is close to \(h_\mu (f)\),

  4. (d)

    the f-invariant measures of \(\Lambda \) are close to \(\mu \) in the weak* topology, and

  5. (e)

    the Lyapunov exponents of any ergodic measure of \(\Lambda \) are close to the Lyapunov exponents of \(\mu \).

By hypothesis, the saddle P is homoclinically related to \(\mu \). Thus (a) and the \(\lambda \)-lemma imply that P and \(\Lambda \) are homoclinically related. We can assume that \(P\not \in \Lambda \). Otherwise, if \(P\in \Lambda \), we extract a subhorseshoe \(\widetilde{\Lambda }\) of \(\Lambda \) such that \(P \not \in \widetilde{\Lambda }\) and \(h_{\mathrm {top}}(\widetilde{\Lambda },f)\) is close to \(h_{\mathrm {top}}(\Lambda ,f)\). In particular, properties (a)–(e) also hold for \(\tilde{\Lambda }\).

The second step in the proof of [4,  Theorem B\('\)] is to apply [4,  Theorem B] to the horseshoe \(\Lambda \) to get affine horseshoes with constant linear part. Since the perturbation in the latter result is done in a small neighbourhood of \(\Lambda \) and \(P\not \in \Lambda \), we obtain a \(C^1\) perturbation \(h \in \mathrm {Diff}^r(M)\) of f with \(P_h=P\) and such that the continuation \(\Lambda _h\) of \(\Lambda \) contains an affine horseshoe \(\Gamma _h\) with constant linear part. In particular, \(P_h\) is homoclinically related with \(\Gamma _h\).

Finally, when P has a homoclinic tangency, the constructions above can be done preserving that tangency. This concludes the proof of the theorem.

Appendix: Dominated splittings

In this appendix, we review the notion of a dominated splitting.

Given an invariant set \(\Lambda \) of \(f \in \mathrm {Diff}^1(M)\), a splitting \(T_\Lambda M= E\oplus F\) over \(\Lambda \) is called dominated if it is Df invariant and there is \(\ell \in \mathbb {N}\) such that for every \(x\in \Lambda \) and every pair of unit vectors \(u \in E(x)\) and \(v\in F(x)\) it holds

$$\begin{aligned} \frac{|| Df^\ell (x) (u)||}{|| Df^\ell (x) (v)||} < \frac{1}{2}, \end{aligned}$$

here E(x) and F(x) are the bundles at x and \(|| \cdot ||\) is the norm. In this case, we say that F dominates E.

A Df invariant bundle \(T_\Lambda M= E_1\oplus \cdots \oplus E_k\) with k bundles, \(k \geqslant 3\), is dominated if the bundles \(T_\Lambda M= (E_1\oplus \cdots \oplus E_i) \oplus ( E_{i+1} \oplus \cdots \oplus E_k)\) are dominated for every \(i\in \{1,\dots , k-1\}\).

The bundle E over \(\Lambda \) is uniformly contracting if there are constants \(C>0\) and \(\kappa \in (0,1)\) such that

$$\begin{aligned} || Df^n (x) (u)|| \leqslant C \, \kappa ^n || u|| \end{aligned}$$

for every \(x\in \Lambda \), \(n \geqslant 0\), and every vector \(u\in E(x)\). Similarly, the bundle F is uniformly expanding if it is uniformly contracting for \(f^{-1}\). A dominated splitting \(E \oplus F\) over \(\Lambda \) is partially hyperbolic if either E is uniformly contracting or F is uniformly expanding. When E is uniformly contracting and F is uniformly expanding the splitting is hyperbolic. An invariant set \(\Lambda \) is (partially) hyperbolic if it has a (partially) hyperbolic splitting.

Given a splitting \(E\oplus F\) and \(\alpha >0\), the cone field of size \(\alpha >0\) around the bundle F, denoted by \(\mathcal {C}_{\alpha ,F}\), consist of all vectors \(v=v_E + v_F\), \(v_E \in E\) and \(v_F\) in F, such that the norm of \(v_F\) is larger or equal than the norm of \(\alpha v_E\). Below, for simplicity, we omit the dependence on \(\alpha \) of the cone fields.

The following proposition is a well-known result about dominated splittings. We refer to [20,  Chapter B.2] for details.

Proposition 7.3

Let \(f\in \mathrm {Diff}^1(M)\) and \(\Lambda \subset M\) be a compact f-invariant set with a dominating splitting \( T_\Lambda M=E \oplus F.\) Then there are neighbourhoods U of \(\Lambda \) in M and \(\mathscr {N}\) of f in \(\mathrm {Diff}^1(M)\) such that for every \(g\in \mathscr {N}\) the maximal invariant set \(\Lambda _g\) of g in U has a dominated splitting \( T_{\Lambda _g}=E_g \oplus F_g\) with \(\dim (E_g )= \dim (E)\) such that

  1. (1)

    the bundles of the dominated splitting depend continuously with the point x and the map g,

  2. (2)

    there are continuous open cone fields \(\mathcal {C}_E\) and \(\mathcal {C}_F\) defined on U with \(E(x) \subset \mathcal {C}_E(x)\) and \(F(x) \subset \mathcal {C}_F(x)\) such that for every \(g\in \mathscr {N}\) it holds:

    • \(Dg^{-1} (\mathcal {C}_E(x)) \subset \mathcal {C}_E( g^{-1}(x))\) if \(x, g^{-1} (x) \in U\) and

    • \(Dg (\mathcal {C}_F(x)) \subset \mathcal {C}_F(g(x))\) if \(x, g (x) \in U\).

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Barrientos, P.G., Díaz, L.J. & Pérez, S.A. Homoclinic tangencies leading to robust heterodimensional cycles. Math. Z. 302, 519–558 (2022). https://doi.org/10.1007/s00209-022-03065-w

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