1 Introduction
It is well known that, for mixing subshifts of finite type
$\sigma : \Sigma \to \Sigma $
(and hyperbolic systems more generally), weighted averages of periodic points become equidistributed with respect to the Gibbs measure for the weighting potential, and this continues to hold in the countable state case provided the so-called big images and pre-images (BIP) property is satisfied. Precisely, if
$\delta _x$
is the Dirac measure at x and
$\tau _{x,n} = ({1}/{n})\sum _{j=0}^{n-1} \delta _{\sigma ^jx}$
then, for suitably regular
$\varphi : \Sigma \to \mathbb R$
, and writing
the sequence of probability measures
converges weakly to
$\mu _\varphi $
, the Gibbs measure for
$\varphi $
, as
$n \to \infty $
. (For subshifts of finite type, see Bowen [Reference Bowen2] when
$\varphi =0$
, and Parry [Reference Parry25], Parry and Pollicott [Reference Parry and Pollicott26] for general Hölder continuous
$\varphi $
. The result in [Reference Parry25, Reference Parry and Pollicott26] is given for flows, but the shift case follows directly by considering a constant suspension. For the countable state case with BIP, the equidistribution result can be obtained from the stronger large deviation results of Takahasi [Reference Takahasi35].) However, more interesting phenomena occur if we consider extensions of
$\Sigma $
by a (finitely generated, infinite) countable group G and only consider those periodic points for
$\sigma : \Sigma \to \Sigma $
that correspond to periodic points in the extension. More precisely, given
$\psi : \Sigma \to G$
, define the skew product extension
$T_\psi : \Sigma \times G \to \Sigma \times G$
by
Then, we consider points
$x \in \Sigma $
such that
$T_\psi ^n(x,e)=(x,e)$
, that is,
$\sigma ^nx=x$
and
${\psi _n(x)=e}$
, where e is the identity in G and
(Note that
$T_\psi ^n(x,e)=(x,e)$
if and only if
$T_\psi ^n(x,g)=(x,g)$
for all
$g \in G$
.) Given a (sufficiently nice) function
$\varphi : \Sigma \to \mathbb R$
, we might seek to understand the limiting behaviour of the measures
This problem was studied when
$\Sigma $
is a subshift of finite type and
$G = \mathbb Z^d$
, in which case, subject to a mixing condition on the extension, the weak limit exists and is equal to the Gibbs measure for
$\varphi + \langle \xi ,\psi \rangle $
, for some (unique)
$\xi = \xi (\varphi ) \in \mathbb R^d$
(where
$\langle \cdot ,\cdot \rangle $
is the standard inner product on
$\mathbb R^d$
). This value
$\xi $
is characterized by minimizing the pressure function
$P(\varphi +\langle w,\psi \rangle ,\sigma )$
over
$w \in \mathbb R^d$
, or by the variational principle
where
$\mathcal M_\sigma (\Sigma )$
is the set of
$\sigma $
-invariant Borel probability measures on
$\Sigma $
and
$h(\nu )$
is the measure-theoretic entropy of
$\nu $
with respect to
$\sigma $
. (In the new work discussed below, the existence of such a
$\xi $
will become an assumption: see Assumption (III) below.) In the technically more involved situation of Anosov flows and homology, the analogous convergence statement for
$\varphi =0$
was proved by Sharp [Reference Sharp32] (see also Lalley [Reference Lalley20] and Babillot and Ledrappier [Reference Babillot and Ledrappier1]) and for general Hölder continuous
$\varphi $
by Coles and Sharp [Reference Coles and Sharp7], and it is easy to recover the shift case from the results in these papers. It is now apparent that a version of this result should hold whenever G is amenable: again, a result for Anosov flows was proved by Dougall and Sharp [Reference Dougall and Sharp13] and one can adapt this to subshifts of finite type (indeed, the analysis in [Reference Dougall and Sharp13] proceeds via subshifts of finite type and symbolic dynamics to obtain the flow result). In the amenable case, the limit measure is exactly the same as one would obtain if one abelianized the group G. More precisely, if
$\overline {G}\cong \mathbb Z^d$
is the torsion-free part of the abelianization of G and
$\pi : G \to \overline {G}$
is the projection homomorphism, then the limiting measure is
$\mu _{\varphi +\langle \xi ,\bar \psi \rangle }$
, where
$\bar \psi : \Sigma \to \overline {G}$
is defined by
$\bar \psi = \pi \circ \psi $
and
${\xi =\xi (\varphi )}$
is as above. (If
$d=0$
, then
$\xi =0$
and one simply obtains
$\mu _\varphi $
in the limit.)
Our first main result is to extend this equidistribution for amenable skew products to mixing countable state Markov shifts satisfying BIP. We say that
$\sigma : \Sigma \to \Sigma $
satisfies the BIP property if there exist
$b_1,\ldots ,b_N \in S$
such that, for all
$a \in S$
, there exist
$i,j \in \{1,\ldots ,N\}$
with
$A(b_i,a)=1$
and
$A(a,b_j)=1$
. Note that topologically transitive subshifts of finite type trivially satisfy this condition and, indeed, BIP shifts share many thermodynamic properties with subshifts of finite type, in particular, the existence of Gibbs measures. We assume that:
-
• $\sigma : \Sigma \to \Sigma $
satisfies BIP; -
• G is a finitely generated amenable group;
-
• $\psi : \Sigma \to G$
satisfies
$\psi (x)=\psi (x_1)$
; and -
• $\varphi : \Sigma \to \mathbb R$
is locally Hölder continuous.
Furthermore, we make additional assumptions on
$\varphi $
and
$\psi $
.
Assumption (I). The map
$T_\psi :\Sigma \times G \to \Sigma \times G$
is topologically mixing.
Let
where
$|\cdot |$
denotes the
$2$
-norm on
$\mathbb R^d$
.
Assumption (II). We have
$\delta (\varphi ,\bar \psi )>0$
.
We define
$\mathfrak p : \mathbb R^d \to \mathbb R \cup \{\infty \}$
by
where
$P_{\mathrm {G}}(\cdot ,\sigma )$
is the Gurevič pressure with respect to
$\sigma $
(defined in §2). In particular,
$\mathfrak p$
is finite for
$|w|<\delta (\varphi ,\bar \psi )$
. Write
$\delta = \delta (\varphi ,\bar \psi )$
and
Assumption (III). The function
$w \mapsto \mathfrak p(w)$
has a unique minimum at some (necessarily unique)
$\xi \in B(\delta )$
.
For
$x \in \Sigma $
, let
$\delta _x$
denote the Dirac measure at x and write
For a sequence of countable sets
$\Lambda _n \subset \Sigma $
, we write
and introduce a sequence of probability measures on
$\Sigma $
,
We consider the following choices for
$\Lambda _n$
:
-
(1)
$$ \begin{align*} \Lambda^\psi(n) =\{x \in \Sigma \text{ : } \sigma^n x=x, \ \psi_n(x) =0\}; \end{align*} $$
-
(2) for $a \in S$
, $$ \begin{align*} \Lambda_a^\psi(n) =\{x \in [a] \text{ : } \sigma^n x=x, \ \psi_n(x) =0\}; \end{align*} $$
-
(3) for $o \in \Sigma $
, $$ \begin{align*} \Lambda^\psi(n,o) = \{x\in \Sigma \text{ : } \sigma^nx=o, \ \psi_n(x)=e\}; \end{align*} $$
-
(4) for $a \in S$
and
$o \in [a]$
, $$ \begin{align*} \Lambda_a^\psi(n,o) = \{x\in [a] \text{ : } \sigma^nx=o, \ \psi_n(x)=e\}. \end{align*} $$
Theorem 1.1. Let
$\sigma : \Sigma \to \Sigma $
be a countable state Markov shift which satisfies BIP and let G be a finitely generated group. Let
$\varphi : \Sigma \to \mathbb R$
be locally Hölder continuous and let
$\psi : \Sigma \to G$
satisfy
$\psi (x)=\psi (x_1)$
such that
$\varphi $
and
$\psi $
satisfy Assumptions (I), (II) and (III). If G is amenable then
$\mathfrak M_\varphi (\Lambda ^\psi (n))$
,
$\mathfrak M_\varphi (\Lambda _a^\psi (n))$
,
$\mathfrak M_\varphi (\Lambda ^\psi (n,o))$
and
$\mathfrak M_\varphi (\Lambda _a^\psi (n,o))$
all converge to
$\mu _{\varphi +\langle \xi ,\bar \psi \rangle }$
, as
$n \to \infty $
, with respect to the weak
$^*$
topology on
$\mathcal M(\Sigma )$
.
Remark 1.2. Assumption (II) is the assertion that
is finite for some
$r>0$
. This is somewhat analogous to Cramér’s condition for random walks (existence of an exponential moment) or to the entropy gap assumption that appears in [Reference Bray, Canary, Kao and Martone3, Reference Kao and Martone17], for example. Of course, for a subshift of finite type, (1.1) is automatically finite for all
$r>0$
.
The equidistribution result is proved via large deviations and to prove the latter, we need to show that, when G is amenable, the Gurevič pressure of
$\varphi $
with respect to the skew product
$T_\psi $
is equal to the Gurevič pressure of
$\varphi $
with respect to the abelianized skew product
$T_{\bar \psi }$
(which, in turn, is equal to the Gurevič pressure of
$\varphi + \langle \xi ,\bar \psi \rangle $
with respect to
$\sigma $
). The largest part of the paper is devoted to proving the first equality, formally stated as Theorem 1.3 below. To motivate this, we briefly outline some older results for random walks, spectral geometry and group theory, before returning to dynamical questions.
A classical result of Kesten for symmetric random walks on countable groups is that the exponential rate of return to the identity is equal to
$1$
if the group is amenable and is less than
$1$
otherwise [Reference Kesten19]. Variants of this amenability dichotomy were subsequently obtained in the settings of the spectrum of the Laplacian for coverings of Riemannian manifolds [Reference Brooks4, Reference Brooks5], group theory and graph theory [Reference Cohen6, Reference Grigorchuk16, Reference Northshield23, Reference Northshield24], and critical exponents for discrete groups [Reference Coulon, Dal’Bo and Sambusetti8, Reference Coulon, Dougall, Schapira and Tapie9, Reference Dougall11, Reference Dougall and Sharp12, Reference Roblin28, Reference Stadlbauer33]. The latter results also have a dynamical interpretation in terms of geodesic flows (over manifolds with negative sectional curvatures) and, more generally, Anosov flows with a time-reversing involution. In this setting, with time-reversal symmetry, one compares the growth rate of the number of periodic orbits of the flow (which is equal to the topological entropy) with the corresponding quantity for the lift of the flow to a regular cover: the growth rates agree if and only if the covering group is amenable. For general Anosov flows, without this additional symmetry, the amenability dichotomy fails (even for abelian covers). However, in [Reference Dougall and Sharp13], Dougall and the author showed that a modified result holds, where the comparison is between growth rates for the given cover and the maximal abelian subcover: these two quantities agree if and only if the covering group is amenable. The argument in [Reference Dougall and Sharp13] (with some errors rectified in the associated correction) used symbolic dynamics, where the Anosov flow is coded by a suspension flow over a subshift of finite type. In particular, it boils down to showing equality of Gurevič pressure for a skew product extension associated to the covering group with the corresponding quantity for its abelianization. Here, we give a new proof, modelled on the argument given for random walks in [Reference Dougall and Sharp14], which works in the countable state case and which gives a cleaner proof. (Both proofs have their roots in ideas of Roblin [Reference Roblin28] and Stadlbauer [Reference Stadlbauer, Pacifico and Guarino34].) We stress that, for the direction ‘amenability implies equality’ stated in Theorem 1.3 below, the shift
$\sigma : \Sigma \to \Sigma $
does not need to satisfy BIP. (The recent paper [Reference Gomez and Terhesiu15] obtains the conclusion of Theorem 1.3 when the base is a full branch Gibbs–Markov map satisfying BIP.)
We now state this result in detail (although some definitions will be deferred until §2). Given a locally Hölder continuous function
$\varphi : \Sigma \to \mathbb R$
, we have induced functions
$\tilde \varphi : \Sigma \times G \to \mathbb R$
and
$\bar \varphi : \Sigma \times \overline G \to \mathbb R$
, defined by
$\tilde \varphi (x,\cdot ) =\varphi (x)$
and
${\bar \varphi (x,\cdot )=\varphi (x)}$
, respectively. To avoid over-cluttering formulae, we will slightly abuse notation by denoting all three functions
$\varphi $
,
$\bar \varphi $
and
$\tilde \varphi $
by
$\varphi $
. We have the following inequalities for the (Gurevič) pressure of these functions:
where the second inequality holds for all
$w \in \mathbb R^d$
. (See Lemma 3.1 for the proof of these inequalities.)
Theorem 1.3. Suppose that:
-
• $\sigma : \Sigma \to \Sigma $
is a (one-sided) countable state Markov shift; -
• G is a countable group;
-
• $T_\psi : \Sigma \times G \to \Sigma \times G$
is a topologically transitive skew-product extension, where
$\psi ((x_i)_{i=1}^\infty )=\psi (x_1)$
; and -
• $\varphi : \Sigma \to \mathbb R$
is a locally Hölder continuous function.
If G is amenable, then
$P_{\mathrm {G}}(\varphi ,T_\psi ) = P_{\mathrm {G}}(\varphi ,T_{\bar \psi })$
.
Remark 1.4. Since
$T_\psi : \Sigma \times G \to \Sigma \times G$
is topologically transitive,
$\sigma :\Sigma \to \Sigma $
is also topologically transitive, so we do not need to include this as a separate assumption on the base.
If
$\Sigma $
satisfies BIP, and
$\varphi $
and
$\psi $
satisfy the same conditions needed for Theorem 1.1, then the converse of the statement also holds.
Proposition 1.5. Let
$\sigma : \Sigma \to \Sigma $
be a countable state Markov shift that satisfies BIP and let G be a finitely generated group. Let
$\varphi : \Sigma \to \mathbb R$
be locally Hölder continuous and let
$\psi : \Sigma \to G$
satisfy
$\psi (x)=\psi (x_1)$
such that
$\varphi $
and
$\psi $
satisfy Assumptions (I), (II) and (III). If
$P_{\mathrm {G}}(\varphi ,T_\psi )=P_{\mathrm {G}}(\varphi ,T_{\bar \psi })$
, then G is amenable.
We remark that includes the case of subshifts of finite type (where the moment condition is automatic). The proof, which relies heavily on results of Stadlbauer [Reference Stadlbauer33] is given in §7.
We will now outline the contents of the rest of the paper. Sections 2 and 3 provide background on countable state Markov shifts, Gurevič pressure and skew product extensions. Section 4 contains the proof of Theorem 1.3. Section 5 considers the BIP property, Gibbs measures and makes the assumptions we impose for our equidistribution results, and §6 contains the statement and proof of these results. Finally, §7 establishes Proposition 1.5.
2 Countable state Markov shifts
Let S be a countable set and let A be a matrix indexed by
$S \times S$
with entries in
$\{0,1\}$
. We call S the set of states and A the transition matrix. We write
$A(s,s')$
for the
$(s,s')$
entry of A. We then let
Let
$\sigma : \Sigma \to \Sigma $
be the shift map defined by
$(\sigma x)_n=x_{n+1}$
. Then, we call
$(\Sigma ,\sigma )$
a (one-sided) countable state Markov shift. If S is finite, then
$(\Sigma ,\sigma )$
is called a (one-sided) subshift of finite type.
A word
$w=(w_1,\ldots ,w_{n}) \in S^n$
is called allowed if
$A(w_i,w_{i+1})=1$
for all
${i=~1,\ldots ,n-1}$
and we call
$[w]=\{x \in \Sigma \text { : } x_i=w_i \ \forall i=1,\ldots ,n\}$
the cylinder defined by w. Let
$\mathcal W_n \subset S^n$
denote the set of all allowed words of length n and let
$\mathcal W := \bigcup _{n=1}^\infty \mathcal W_n$
. For
$a \in S$
, we write
If w is a finite word and x is either a finite word or element of
$\Sigma $
, then we let
$wx$
denote the concatenation.
The topology on
$\Sigma $
is the topology generated by cylinder sets. The shift map is continuous and we have that
$\Sigma $
is compact if and only if S is finite. We say that
$\sigma : \Sigma \to \Sigma $
is topologically transitive if there is a point with a dense orbit. We say that
$\sigma : \Sigma \to \Sigma $
is topologically mixing if for all
$a,b \in S$
, there exists
$N(a,b)$
such that for all
$n \ge N(a,b)$
, there exists
$w \in \mathcal W_n$
with
$awb \in \mathcal W$
. (This is equivalent to the usual definition of topological mixing in topological dynamical systems.)
We say that
$\varphi : \Sigma \to \mathbb R$
is locally Hölder continuous if
for some
$C>0$
and
$0<\theta <1$
, for all
$n \ge 1$
. If we wish to specify
$\theta $
, then we say that
$\varphi $
is
$\theta $
-locally Hölder continuous. We write
A locally Hölder function satisfies the following estimates.
Lemma 2.1. [Reference Sarig29, Lemma 1]
Let
$\varphi : \Sigma \to \mathbb R$
be locally Hölder continuous. Then, for all
$a \in S$
and all
$o,o' \in [a]$
, there exists
$B>0$
such that
for all
$w \in \mathcal W_n$
such that
$wa \in \mathcal W_{n+1}$
.
Assume that
$\sigma $
is topologically transitive and that
$\varphi : \Sigma \to \mathbb R$
is locally Hölder continuous. Then, we can define the Gurevič pressure
$P_{\mathrm {G}}(\varphi ,\sigma ) \in \mathbb R \cup \{\infty \}$
by
for any choice of
$a \in S$
[Reference Sarig29]. If
$\sigma $
is topologically mixing, then the limsup may be replaced by a limit.
The transfer operator
$L_\varphi $
acts on a real-valued function on
$\Sigma $
by the formula
(which may be infinite). We say that
$\varphi $
is summable if
$\|L_\varphi 1\|_\infty <\infty $
. For later use, we note that, using the local Hölder continuity of
$\varphi $
, this is equivalent to the condition
used in [Reference Kesseböhmer and Kombrink18, Reference Mauldin and Urbański21, Reference Mauldin and Urbański22]. If
$\varphi $
is summable, then
$P_{\mathrm {G}}(\varphi ,\sigma )<\infty $
.
We may also characterize the Gurevič pressure directly in terms of the transfer operator.
Lemma 2.2. [Reference Sarig31, Theorem 4.4]
If
$P_{\mathrm {G}}(\varphi ,\sigma )<\infty $
, and
$v : \Sigma \to \mathbb R$
is continuous, non-negative, not identically zero and with support contained inside a finite union of cylinders, then
for all
$x \in \Sigma $
. If the shift is topologically mixing, then the limsup may be replaced by a limit.
3 Skew product extension
We now consider skew product extensions. Let G be a finitely generated countable group (with the discrete topology), with identity e. Suppose we are given a function
$\psi : \Sigma \to G$
with
$\psi ((x_i)_{i=1}^\infty ) = \psi (x_1)$
. (Any continuous function from
$\Sigma $
to G is locally constant and can be reduced to this form by recoding.) Then, we can define the skew product extension
by
Note that
where
We will always assume that
$T_\psi $
is topologically transitive.
The system
$T_\psi : \Sigma \times G \to \Sigma \times G$
is also a countable state Markov shift with set of states
$S \times G$
and a transition matrix
$\mathbb A$
defined by
Thus, Gurevič pressure is also defined for the extension.
Given an extension with group G, we will also need to consider the abelianized system as follows. Let
$G^{\mathrm {ab}}$
denote the abelianization of G and let
$\overline G$
denote the torsion-free part of
$G^{\mathrm {ab}}$
, that is,
$\overline {G}$
is the quotient of
$G^{\mathrm {ab}}$
by its torsion subgroup. Then,
$\overline {G}$
is isomorphic to
$\mathbb Z^d$
for some
$d \ge 0$
. We use additive notation and let
$0$
to denote the identity. Let
${\pi :G \to \overline {G}}$
be the projection homomorphism. Define
$\bar \psi : \Sigma \to \overline {G}$
by
$\bar \psi = \pi \circ \psi $
; then, we have the skew product
$T_{\bar \psi } : \Sigma \times \overline {G} \to \Sigma \times \overline {G}$
. (If
$d=0$
, then we can regard
$T_{\bar \psi }$
as
$\sigma $
.)
Given
$\varphi : \Sigma \to \mathbb R$
, define
$\tilde \varphi : \Sigma \times G \to \mathbb R$
by
$\tilde \varphi (x,g) = \varphi (x)$
and
$\bar \varphi : \Sigma \times \overline {G} \to \mathbb R$
by
$\bar \varphi (x,k) = \varphi (x)$
. Following the convention in §1, we write all of these functions as
$\varphi $
. The next result proves the inequalities (1.2) in §1.
Lemma 3.1. For all
$w \in \mathbb R^d$
, we have
Proof. Let
$a \in S$
, then
$[a] \times \{e\}$
is a cylinder set for
$\Sigma \times G$
and
$[a] \times \{0\}$
is a cylinder set for
$\Sigma \times \overline {G}$
. It is clear that
$T_\psi ^n(x,e) = (x,e)$
implies
$T_{\bar \psi }^n(x,0)=(x,0)$
and, therefore,
Hence,
$P_{\mathrm {G}}(\varphi ,T_\psi ) \le P_{\mathrm {G}}(\varphi ,T_{\bar \psi })$
. By a similar argument,
$P_{\mathrm {G}}(\varphi ,T_{\bar \psi }) \le P_{\mathrm {G}}(\varphi ,\sigma )$
. Furthermore, if
$T_{\bar \psi }^n(x,0)=(x,0)$
, then
$\sigma ^nx=x$
and
$\bar \psi ^n(x)=0$
, so we see that
for all
$w \in \mathbb R^d$
.
Each of the skew products has its own transfer operator (associated to
$\varphi $
), which we distinguish by using different fonts, as follows:
and
The formulae for iterates are
and
4 Amenability implies equality
In the section, we prove Theorem 1.3. Since we know from (1.2) that
$P_{\mathrm {G}}(\varphi ,T_\psi ) \le P_{\mathrm {G}}(\varphi ,T_{\bar \psi })$
, we only need to prove that
$P_{\mathrm {G}}(\varphi ,T_{\bar \psi }) \le P_{\mathrm {G}}(\varphi ,T_\psi )$
. To simplify the notation, we shall write
$\rho = e^{P_{\mathrm {G}}(\varphi ,T_\psi )}$
.
We begin by outlining the strategy employed in the proof. We shall work with the operator
$\mathcal L_\varphi $
, but we only need to consider functions defined on a countable set
$\mathcal Z \times G$
, where
$\mathcal Z$
is the set of all pre-images (under
$\sigma $
) of a prescribed ‘base point’. The first task is to construct a bounded positive function
$\Phi : \mathcal Z \times G \to \mathbb R^{>0}$
from limits of ratios of what one might think of as ‘Green’s functions’
$\zeta _{z,g}(t)$
, with a parameter decreasing to
$\rho $
. This is carried out in Lemmas 4.2 and 4.3. Then, in Lemma 4.4, we show that
$\mathcal L_\varphi \Phi = \rho \Phi $
. The next step, in Lemma 4.6, is to replace
$\Phi $
with a function
${\phi : \mathcal Z \times G \to \mathbb R^{>0}}$
such that
$\mathcal L_\varphi ^n\phi \le \rho ^n \phi $
and
$\phi (z,\cdot )/\phi (z,e)$
is always a homomorphism from G to
$\mathbb R^{>0}$
. This is the only point in the proof where the amenability of G is used: we consider an invariant mean on
$\ell ^\infty (G,\mathbb R)$
applied to a bounded sequence derived from
$\Phi $
, along with Jensen’s inequality. The proof of Theorem 1.3 is then nearly complete. In Lemma 4.7, using the homomorphism property,
$\phi $
descends to a function
$\bar \phi : \mathcal Z \times \overline {G} \to \mathbb R^{>0}$
satisfying
${\mathfrak L_\varphi ^n\bar \phi \le \rho ^n\bar \phi }$
. Finally, Lemma 2.2 relates
$P_{\mathrm {G}}(\varphi ,T_{\bar \psi })$
to the growth rate of the iterates of
$\mathfrak L_\varphi $
and, hence, we obtain
$P_{\mathrm {G}}(\varphi ,T_{\bar \psi }) \le \log \rho $
.
Fix
$a \in S$
; for
$o \in [a]$
and
$g \in G$
, we will work with the quantity
Since
$T_\psi $
is topologically transitive, it follows from Lemma 2.2 that
Define
This converges for
$t>\rho $
, but may either diverge or converge at
$t=\rho $
. In the latter case, we need to modify the series so that it diverges at
$t=\rho $
. We use the following standard lemma.
Lemma 4.1. [Reference Denker and Urbański10, Lemma 3.2]
Let
$a_n$
be a sequence of positive real numbers such that
$\limsup _{n \to \infty } a_n^{1/n} =\rho $
. Then, there is a sequence
$b_n$
of positive real numbers such that
$\lim _{n \to \infty } b_{n+1}/b_n=1$
,
$\sum _{n=1}^\infty a_nb_nt^{-n}$
converges for all
$t> \rho $
, but
$\sum _{n=1}^\infty a_nb_n \rho ^{-n}$
diverges.
Let
$b_n$
be the sequence given by the lemma corresponding to
and write
$c_n=1/b_n$
. Let
If
$o' \in [a]$
, then there is a natural bijection between the pre-images of o and
$o'$
, so we can compare
$\zeta _{o,g}(t)$
and
$\zeta _{o',g}(t)$
term-by-term. Using Lemma 2.1, for all
$g \in G$
and
$t>\rho $
,
and so the same sequence
$c_n$
works for all
$o \in [a]$
.
Lemma 4.2. Let
$\rho '>\rho $
. For each
$a \in S$
and each
$g \in G$
,
Proof. We begin by observing that, for every
$g,h \in G$
, we have
and (due to the transitivity of
$T_\psi $
) we can find a
$k \ge 1$
so that the right-hand side is positive. Thus, we obtain
Since the numbers
$c_n$
are positive and, for each fixed k,
$\lim _{n \to \infty } c_n/c_{n+k}=1$
, we have
$\inf _{n \ge 1} c_n/c_{n+k}>0$
. Furthermore,
Hence, for
$t \in (\rho ,\rho ']$
, we have
for positive
$C_1,C_2$
and
$C_3$
. We conclude that
Since g and h are arbitrary, we have
Using (4.2), the bounds can be made uniform over
$o \in [a]$
.
Define
the set of pre-images of o; this is a countable subset of
$\Sigma $
.
Lemma 4.3. We can find a sequence
$t_n \downarrow \rho $
such that the following limit exists and lies in
$(0,\infty )$
for all
$(z,g) \in \mathcal Z \times G$
:
Furthermore, for all
$g \in G$
,
Proof. Let
$\{(z_m,g_m)\}_{m=1}^\infty $
be an enumeration of
$\mathcal Z \times G$
and let
$t_n^{(0)}$
be an arbitrary sequence in
$(\rho ,\rho ']$
that is strictly decreasing to
$\rho $
. Then, the numbers
$\zeta _{z_1,g_1}(t_n^{(0)})/\zeta _{z_1,e}(t_n^{(0)})$
are a sequence in the compact interval
Hence,
$t_n^{(0)}$
has a subsequence
$t_n^{(1)}$
such that
$\zeta _{z_1,g_1}(t_n^{(1)})/\zeta _{z_1,e}(t_n^{(1)})$
converges. Continue inductively to construct successive subsequences
$t_n^{(m)}$
of
$t_n^{(m-1)}$
such that
$\zeta _{z_m,g_m}(t_n^{(m)})/\zeta _{z_m,e}(t_n^{(m)})$
converges. Now, take
$t_n$
to be the diagonal sequence
$t_n^{(n)}$
and convegence will hold for all
$(z,g) \in \mathcal Z \times G$
. The inequalities (4.3) are immediate.
Lemma 4.4. For all
$z \in \mathcal Z \cap [a]$
and all
$n \ge 1$
,
Proof. To simplify notation, we shall write the proof for the case
$z=o$
and note that, using (4.2), the same argument holds for general
$z \in \mathcal Z \cap [a]$
. Fix
$k \ge 1$
and let
$\epsilon>0$
. Since
$\lim _{n \to \infty } c_{n-k}/c_n=1$
, we can choose
$n_0$
such that
$1-\epsilon \le c_{n-k}/c_n \le 1+\epsilon $
for all
$n \ge n_0$
. Without loss of generality, we may take
$n_0 \ge k$
. We will also use that
Then, for
$n \ge n_0$
,
Setting
by (4.4), we have
Replacing t by the sequence
$t_m$
from Lemma 4.3 and dividing by
$\zeta _{z,e}(t_m)$
, we obtain
Then, letting
$m \to \infty $
, so that
$t_m \to \rho $
, this gives us
and, since
$\epsilon $
is arbitrary,
For the lower bound, we have
which gives
Corollary 4.5. For all
$(z,\gamma ) \in \mathcal Z \times G$
, we have
Proof. Here, we again use the topological transitivity of
$T_\psi $
. Given
$(z,\gamma ) \in \mathcal Z \times G$
, we can find
$k \ge 1$
such that
$\sigma ^kz=o'\in [a]$
and
$\psi _k(z)=\gamma $
. This gives us
Hence,
$\sup _{g \in G} \Phi (z,g\gamma ^{-1})/\Phi (o,g)$
is finite.
Next, we find
$x \in [a]$
and
$k \ge 1$
such that
$\sigma ^kx = z$
and
$\psi _k(x)=\gamma ^{-1}$
. Then,
Hence,
$\inf _{g \in G} \Phi (z,g\gamma ^{-1})/\Phi (o,g)$
is positive.
We are now able to use the amenability of G to replace
$\Phi $
with a function
${\phi : \mathcal Z \times G \to \mathbb R^{>0}}$
which, after normalization, is a homomorphism in the second factor. This will allow us to descend to
$\overline {G}$
.
Lemma 4.6. There is a function
$\phi : \mathcal Z \times G \to \mathbb R^{>0}$
such that:
-
(1) for all $g \in G$
and
$n \ge 1$
, $$ \begin{align*} (\mathcal L_{\varphi}^n \phi)(o,g) \le \rho^n \phi(o,g); \end{align*} $$
-
(2) for all $z \in \mathcal Z$
, the function $$ \begin{align*} \gamma \mapsto \frac{\phi(z,\gamma)}{\phi(z,e)} \end{align*} $$is a homomorphism from G to $\mathbb R^{>0}$
.
Furthermore, for all
$a \in S$
and all
$\gamma \in G$
, we have
Proof. The construction of the function
$\phi $
uses the amenability of G. Let M be a right-invariant Banach mean on
$\ell ^\infty (G)$
. By Jensen’s inequality, if
$\alpha $
is convex and
${f \in \ell ^\infty (G)}$
, then
We apply this to the functions
where
$(z,\gamma ) \in \mathcal Z \times G$
. It follows from Corollary 4.5 that
$f_{z,\gamma } \in \ell ^\infty (G)$
for all
${(z,\gamma ) \in \mathcal Z \times G}$
. Thus, we have
Now, define
$\phi : \mathcal Z \times G \to \mathbb R^{>0}$
by
We will first prove that the inequality in part (i) holds. We need a little care as M is only finitely additive. Thus, we work with finite subsets of G that exhaust G. Let
$\{g_k\}_{k=1}^\infty $
be an enumeration of G and, for any
$N \ge 1$
, let
$G_N = \{g_1,\ldots ,g_N\}$
. Then, Lemma 4.4 gives us
Taking the supremum over N gives the inequality in part (i).
Next, we show that part (ii) holds. First, note that we have
and
Hence,
$\gamma \mapsto \phi (o,\gamma )$
is a homomorphism. Next, we observe that
Hence,
is a homomorphism.
To finish, we note that, by Corollary 4.5,
$\phi (z,\gamma )>0$
and one easily sees that this positive lower bound can be taken uniformly in
$z \in \mathcal Z \cap [a]$
.
Lemma 4.7. There is a function
$\bar \phi : \mathcal Z \times \overline {G} \to \mathbb R^{>0}$
satisfying
for all
$n \ge 1$
, and for all
$a \in S$
and all
$m \in \overline {G}$
, we have
Proof. By part (ii) of Lemma 4.6, for each
$z \in \mathcal Z$
, there is a homomorphism
${\Upsilon _z : \overline {G} \to \mathbb R^{>0}}$
such that
We deduce that if
$\pi (\gamma )=\pi (\delta )$
, then
$\phi (z,\gamma )=\phi (z,\delta )$
, and we define
$\bar \phi :\mathcal Z \times \overline {G} \to \mathbb R^{>0}$
by
for any
$\gamma \in G$
satisfying
$\pi (\gamma )=m$
.
We then have
The final statement follows from Lemma 4.6 and the definition of
$\bar \phi $
.
We now complete the proof of Theorem 1.3. Let
Using Lemma 2.2, we have that
as required.
Remark 4.8. We could reformulate Theorem 1.3 and the above proof in terms of the skew product
$T_{\psi ^{\mathrm {ab}}} : \Sigma \times G^{\mathrm {ab}} \to \Sigma \times G^{\mathrm {ab}}$
without significantly changing the argument. We observe that
$\langle \xi ,\cdot \rangle $
represents a choice of homomorphism from
$\overline {G}$
to
$\mathbb R$
and there is a natural isomorphism between
$\mathrm {Hom}(\overline {G},\mathbb R)$
and
$\mathrm {Hom}(G^{\mathrm {ab}},\mathbb R)$
. Then,
$\langle \xi , \bar \psi \rangle $
is replaced by
$\chi \circ \psi ^{\mathrm {ab}}$
for an appropriate choice of
$\chi \in \mathrm {Hom}(G^{\mathrm {ab}},\mathbb R)$
.
5 The BIP property and skew product extensions
We now introduce the stronger condition on
$\Sigma $
required for the equidistribution result we described in §1. Let
$\sigma : \Sigma \to \Sigma $
be a countable state Markov shift satisfying the BIP property. (The terminology BIP appears in, for example, the work of Sarig. If
$\sigma : \Sigma \to \Sigma $
is topologically mixing, then BIP is equivalent to the finite primitivity condition used by Mauldin and Urbański [Reference Mauldin and Urbański21, Reference Mauldin and Urbański22]. Thus, we can cite results from both sets of authors.)
Let
$\varphi : \Sigma \to \mathbb R$
be a locally Hölder continuous function. We say that a
$\sigma $
-invariant probability measure
$\mu $
on
$\Sigma $
is a Gibbs measure for
$\varphi $
if there are constants
$A,B$
and P (depending only on
$\varphi $
) such that
for all
$w \in \mathcal W_n$
, for all
$n \ge 1$
and all
$x \in [w]$
. If
$\varphi $
has a Gibbs measure, then
$P=P_{\mathrm {G}}(\varphi ,\sigma )$
.
From now on, we assume that
$\sigma : \Sigma \to \Sigma $
is topologically mixing and satisfies BIP. Let
$\varphi : \Sigma \to \mathbb R$
be locally Hölder continuous and summable, so that
$P_{\mathrm {G}}(\varphi ,\sigma )$
is finite. Then,
$\varphi $
has a unique Gibbs measure, which we denote by
$\mu _\varphi $
, and
$P=P_{\mathrm {G}}(\varphi )$
(see [Reference Sarig30, Theorem 1]). We also have a characterization of the Gurevič pressure in terms of periodic points:
(see [Reference Sarig30, Corollary 1]). (Note that the equality (5.1) may fail in the absence of the BIP property.)
In the presence of BIP, we also have stronger results for our transfer operators acting on an appropriate Banach space. Let
$\mathcal F_\theta ^b$
denote the space of bounded
$\theta $
-locally Hölder continuous functions
$v: \Sigma \to \mathbb {C}$
with the norm
$\|\cdot \|_\theta = \|\cdot \|_\infty +|\cdot |_\theta $
, where
If
$\varphi : \Sigma \to \mathbb R$
is summable, then
$L_\varphi : \mathcal F_\theta ^b \to \mathcal F_\theta ^b$
is a well-defined bounded linear operator [Reference Mauldin and Urbański22, Lemma 2.4.1].
We have the following analyticity result.
Lemma 5.1. [Reference Mauldin and Urbański22, Theorem 2.6.13 and Proposition 2.6.13]
Let
$\sigma : \Sigma \to \Sigma $
be topologically mixing and satisfy BIP, and let
$\varphi ,\theta : \Sigma \to \mathbb R$
be weakly Hölder continuous. Suppose there exists
$\epsilon>0$
such that
$\varphi +t\theta $
is summable for
$|t|<\epsilon $
. Then,
$t \mapsto P_{\mathrm {G}}(\varphi +t\theta ,\sigma )$
is real analytic on
$(-\epsilon ,\epsilon )$
and
We need an analogue of (5.1) for
$T_\psi $
. If
$T_\psi : \Sigma \times G \to \Sigma \times G$
is mixing, then we have the following lemma.
Lemma 5.2. Let
$\sigma : \Sigma \to \Sigma $
be topologically mixing and satisfy BIP, and furthermore, let
$T_\psi : \Sigma \times G \to \Sigma \times G$
be topologically mixing. Then, we have
Proof. It is immediate from the definition of Gurevič pressure that
For the other direction, we adapt the proof of [Reference Sarig30, Theorem 1]. Given
$w \in \mathcal W_n$
, let
$ \varphi ^n_+(w) = \sup \{\varphi ^n(y) \text { : } y \in [w]\}$
. Now, fix
$a \in S$
. By the mixing of
$T_\psi $
, there exists
${n_0 \ge 1}$
and, for
$i=1,\ldots ,N$
,
$w_{a,b_i}, w_{b_i,a} \in \mathcal W_{n_0}$
such that
$aw_{a,b_i}b_i \in \mathcal W_{n_0 +2}$
,
$b_iw_{b_i,a} a \in \mathcal W_{n_0+2}$
,
$\psi _{n_0}(w_{a,b_i})=e$
and
$\psi _{n_0}(w_{b_i,a})=e$
. By the BIP property, given
$w \in \mathcal W_n$
, there exists
$i,j \in \{i,\ldots ,N\}$
such that
$b_iwb_j \in \mathcal W_{n+2}$
. Hence,
where
$M = 2n_0+3$
, and concatenating
$aw_{a,b_i} b_i w b_j w_{b_j,a}$
gives a periodic point of period
$n+M$
. Furthermore, if
$\psi _n(w)=e$
, then
is bounded independently of n. We conclude that there exists
$n_1 \ge 1$
and
$C>0$
so that
for any choice of
$o \in [a]$
.
Now, the mixing of
$T_\psi $
implies that
is independent of
$g \in G$
. Combining this with (5.2), we see that
as required.
We now suppose that
$\varphi $
and
$\psi $
satisfying Assumptions I, II and III, stated in §1. To simplify notation, we identify
$\bar \psi : \Sigma \to \overline {G}$
with a function
${f : \Sigma \to \mathbb Z^d}$
and we now denote the abelian skew product by
$T_f$
.
Assumption (I) immediately implies that
$T_f\! : \Sigma \times \mathbb Z^d \to \Sigma \times \mathbb Z^d$
is also topologically mixing. Furthermore, Assumption (I) implies that f is aperiodic: if
$e^{2\pi i \langle t,f(x)\rangle } = z u(\sigma x)/u(x)$
for all
$x {\kern-1pt}\in{\kern-1pt} \Sigma $
, where
$t {\kern-1pt}\in{\kern-1pt} \mathbb R^d$
,
$z {\kern-1pt}\in{\kern-1pt} \mathrm {U}(1) {\kern-1pt}={\kern-1pt} \{z \in \mathbb {C} \text { : }|z|{\kern-1pt}={\kern-1pt}1\}$
and
${u {\kern-1pt}\in{\kern-1pt} C(\Sigma ,\mathrm {U}(1))}$
, then
$t=0\in \mathbb R^d/\mathbb Z^d$
and
$z=1$
. If Assumption (II) holds, then we easily see that
$\varphi +\langle w,f \rangle $
is summable,
$L_{\varphi + \langle w,f \rangle } : \mathcal F_\theta ^b \to \mathcal F_\theta ^b$
is a well-defined bounded linear operator and
is finite for
$|w|<\delta (\varphi ,f)$
.
We also need to consider the transfer operator with complex potentials. As in §1,
$\delta =\delta (\varphi ,f)$
and we write
One can easily check that
$s \mapsto L_{\varphi +\langle s,f\rangle }$
is analytic on
$B_{\mathbb {C}}(\delta )$
(cf. [Reference Mauldin and Urbański22, Corollary 2.6.10]). Furthermore, for s in a neighbourhood of
$B(\delta )$
in
$B_{\mathbb {C}}(\delta )$
,
$L_{\varphi +\langle s,f\rangle }$
has a simple isolated maximal eigenvalue
$\unicode{x3bb} (s)$
such that
for
$w \in B(\delta )$
[Reference Kesseböhmer and Kombrink18, Proposition 2.8]). As a consequence, using spectral perturbation theory, we have that
$s \mapsto e^{\mathfrak p(s)}$
is analytic for s is a neighbourhood of
$B(\delta )$
in
$B_{\mathbb {C}}(\delta )$
.
We may also calculate the derivatives of
$\mathfrak p$
. From Lemma 5.1, we then have
where
Furthermore, the function
$\mathfrak p$
is strictly convex. (Strict convexity fails only if unless there is
$w \ne 0$
such that
$\langle w,f \rangle $
is cohomologous to a constant, which violates the transitivity of
$T_f$
.)
Under Assumption (III), we have
The value
$\xi $
is important and allows us to relate the Gurevič pressure
$P_{\mathrm {G}}(\varphi ,T_f)$
to a Gurevič pressure with respect to
$\sigma $
. First, we give a technical lemma. We observe that since f is valued in
$\mathbb Z^d$
,
$L_{\varphi +\langle \xi +2\pi it,f\rangle }$
is well defined for
$t \in \mathbb R^d/\mathbb Z^d$
.
Lemma 5.3. For
$t \in \mathbb R^d/\mathbb Z^d \setminus \{0\}$
,
$L_{\varphi + \langle \xi +2\pi it,f \rangle }$
has spectral radius strictly less than
$e^{\mathfrak p(\xi )}$
.
Proof. As noted above, Assumption (I) implies that f is aperiodic. It then follows from [Reference Kesseböhmer and Kombrink18, Theorem 2.14] that
$L_{\varphi + \langle \xi +2\pi it,f \rangle }$
has spectral radius strictly less than
$e^{\mathfrak p(\xi )}$
.
Proposition 5.4. We have
Proof. By the definition of Gurevič pressure (and recalling our convention that
${\varphi : \Sigma \times \mathbb Z^d \to \mathbb R}$
is defined by
$\varphi (x,\cdot )=\varphi (x)$
), we have
However, we may make the following calculation. Choose
$o \in [a]$
and set
There is a natural bijection
$q : \mathrm {Fix}_n(\sigma ) \cap [a] \to \mathcal Z(n.a,o)$
given by
$q(x) = x_1\cdots x_no$
. We have
for some
$0<\theta <1$
. Using Lemma 5.3 and the analysis in [Reference Pollicott and Sharp27], we can show that the right-hand side behaves like
$e^{n\mathfrak p(\xi )} n^{-d/2}$
, so the result follows.
6 Equidistribution for skew product extensions
In this section, we give the proof of Theorem 1.1. We give the proof for the sequence
$\mathfrak M_\varphi (\Lambda ^\psi (n))$
, the other cases being similar. The proof is based on the following lemma.
Lemma 6.1. Let
$g : \Sigma \to \mathbb R$
be a bounded locally Hölder continuous function. Given
${\epsilon>0}$
, there exists
$C>0$
and
$\eta>0$
such that
Proof. We consider
$x \in \Lambda ^\psi (n)$
such that
$\int g \, d\tau _{x,n}> \int g \, d\mu _\xi +\epsilon $
and
$\int g \, d\tau _{x,n} < \int g \, d\mu _\xi -\epsilon $
separately. For
$s>0$
, we have
so that
Similarly, for
$s<0$
, we have
If we write
$\mathfrak p_g(s) := P_{\mathrm {G}}(\varphi +\langle \xi ,f\rangle +sg)$
then, applying Lemma 5.1, we have a bound of the form
which is strictly smaller than
$P_{\mathrm {G}}(\varphi +\langle \xi ,f \rangle )$
for sufficiently small values of s. The proof is completed by noting that, by Theorem 1.3 and Proposition 5.4,
Proof of Theorem 1.1.
Write
$\mathfrak M_n = \mathfrak M_\varphi (\Lambda ^\psi (n))$
. We need to show that for every bounded continuous function
$g : \Sigma \to \mathbb R$
, we have
It is enough to prove this when g is a bounded locally Hölder continuous function. We have
By Lemma 6.1, the first term on the right-hand side tends to zero exponentially fast. Also,
which, since
$\epsilon $
is arbitrary, gives the result.
7 Equality implies amenability
In this section, we show that, under Assumptions (I), (II) and (III), the converse of Theorem 1.3 holds, that is, if
$P_{\mathrm {G}}(\varphi ,T_\psi )=P_{\mathrm {G}}(\varphi ,T_{\bar \psi })$
, then G is amenable. As above, we write
$f = \bar {\psi }$
.
To do this, we need to specify a function space for
$\mathcal L_\varphi $
to act on. Let
$\mathcal H$
denote the set of continuous functions
$v : \Sigma \times G \to \mathbb {C}$
such that
$g \mapsto \|v(\cdot ,g)\|_\infty $
is in
$\ell ^2(G)$
, with norm
and let
$\mathrm {spr}_{\mathcal H}(\mathcal L_\varphi )$
denote the spectral radius of
$\mathcal L_\varphi $
on
$\mathcal H$
. We always have
We state a result due to Stadlbauer.
Proposition 7.1. (Stadlbauer [Reference Stadlbauer33, Theorem 5.4])
Suppose that
$\sigma : \Sigma \to \Sigma $
satisfies BIP and that
$T_\psi : \Sigma \times G \to \Sigma \times G$
is topologically transitive. If G is not amenable, then
$\log \mathrm {spr}_{\mathcal H}(\mathcal L_\varphi ) <P_{\mathrm {G}}(\varphi ,\sigma )$
.
We can now prove the desired result.
Proof of Proposition 1.5.
Let
$\xi \in \mathbb R^d$
be as in the previous section and let
$\varphi _\xi = \varphi +\langle \xi ,f \rangle $
. Suppose that G is not amenable. Then,
where the strict inequality uses Proposition 7.1.