Loss of Gibbs property in one-dimensional mixing shifts of finite type
Soonjo Hong

TL;DR
This paper studies how factor maps from one-dimensional mixing shifts of finite type to sofic shifts can transform Gibbs measures into non-Gibbs measures, revealing conditions under which this loss occurs.
Contribution
It characterizes when factor maps from mixing shifts of finite type to sofic shifts cause Gibbs measures to become non-Gibbs, highlighting the loss of Gibbs property.
Findings
Identifies conditions leading to loss of Gibbs property under factor maps.
Provides examples of non-Gibbs measures arising from Gibbs measures.
Enhances understanding of measure transformations in symbolic dynamics.
Abstract
Let be a factor map from a one-dimensional mixing shift of finite type onto a sofic shift . We investigate when sends Gibbs measures on to non-Gibbs measures on .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Cellular Automata and Applications · Nonlinear Dynamics and Pattern Formation
Loss of Gibbs property in one-dimensional mixing shifts of finite type
Soonjo Hong
Hongik University
2639, Sejong-ro, Jochiwon-eup
Sejong
South Korea
Abstract.
Let be a factor map from a one-dimensional mixing shift of finite type onto a sofic shift . We investigate when sends Gibbs measures on to non-Gibbs measures on .
Key words and phrases:
shift of finte type, factor map, gibbs measure
2010 Mathematics Subject Classification:
Primary 37B10, Secondary 37B40
1. Introduction
The preservation and loss of Gibbs property of random fields under renormalisation transformation have been discovered and studied in statistical mechanics [10, 13]. From the viewpoint of symbolic dynamics, Gibbs states can be formulated as Gibbs measures on shift spaces [4, 12]. In this context, renormalisation transformations are regarded as factor maps between shift spaces.
In the present paper, we study which factor maps lose Gibbs property of measures when the domains are one-dimensional mixing shifts of finite type. Such a problem was studied in [6, 15] using linear algebra, in [8] constructing concrete potential functions and computing their variation, in [14] disintegrating a measure into non-homogeneous equilibrium states and in [11] applying cone techniques and operator theory. All the results found in [6, 8, 14, 15] suggest a crucial property for factor maps to preserve Gibbs property, named by Yoo in [15] as fiber-mixing property. We investigate other cases where factor maps are not fiber-mixing.
The notion of transition class is applied to the study. Transition class was devised in [3] and further developed in [1, 2] to study factor maps from shifts of finite type. The author will narrow down possible candidates for factor maps preserving Gibbs property excluding several cases of factor maps under some conditions on transition classes.
2. Backgrounds
We assume basic knowledge of symbolic dynamics here. If one needs more exposition about symbolic dynamics, refer to [9]. In this section, we introduce transition classes, fiber-mixing factor maps and Gibbs measures.
2.1. Transition class
From now on, let be a finite alphabet. Recall that a shift of finite type is 1-step if and only if for any and in with we have in . Any shift of finite type is conjugate to a 1-step shift of finite type. In this paper, let be a 1-block factor map from a one-dimensional two-sided 1-step shift of finite type over onto a sofic shift over , unless stated otherwise.
Definition 2.1**.**
Let and be in the set of words of length in for some with . Then a path in is called a bridge from to if
[TABLE]
A pair of bridges from to and from to is called a two-way bridge between and .
Definition 2.2**.**
Given in , in and in a right -bridge from to is another preimage of such that for some we have
[TABLE]
A right transition from to is a sequence of -bridges from to . When there is a right transition from to , we write .
We say that and are right equivalent and write if and . It is indeed an equivalence relation and the equivalence class of up to is called a right (transition) class. Set and for in . The right class degree of is defined to be .
Definition 2.3**.**
Let be in with distinct right classes . If for any right class over there is no transition nor , then the transition is said to be nonstop.
We may consider a left -bridge from to which is a preimage of such that for some we have
[TABLE]
Subsequently we consider a left transition from to , a sequence of left -bridges from to . Then left equivalence and the left class of up to are considered as well. If for in we put and , then the left class degree of is equal to [1, §6]. Hence we may omit “left” or “right” in front of class degree and just denote it by . Still, a point in may have distinct numbers of right and left classes. So we will continue to distinguish from .
Definition 2.4**.**
A word in is said to be routable through at for some and if there is in with
[TABLE]
A word in is said to be fiber-routable through at if all the words in are routable through at . Define the depth of by
[TABLE]
Definition 2.5**.**
Given in , a subset of is said to be tangled if between any two words of lies a two-way bridge. A partition of each member of which is tangled is said to be a tangled partition of . The -depth of is the smallest cardinality of a tangled partition of .
Every extension of a block in has -depth and depth no greater than has. Also and [1, 2].
A recurrent point is a point any word of which occurs infinitely often to the right of it.
Theorem 2.6**.**
[2, Theorem 4.22]** For some in there are infinitely many occurrences of words with depth less than or equal to in . If is recurrent, then
[TABLE]
2.2. Fiber-mixing factor maps
Fiber-mixing factor maps are known to preserve Gibbs property [8, 11, 14, 15].
Definition 2.7**.**
If given any in and its preimage and there is which is left asymptotic to and right asymptotic to , then is said to be fiber-mixing.
Fiber-mixing factor maps are characterised by other properties as well: class-closing properties and continuing properties.
Definition 2.8**.**
If any left asymptotic preimages and of are right equivalent, then is said to be right class-closing.
Definition 2.9**.**
If given in and in such that is left asymptotic to there is some preimage of left asymptotic to , then is said to be right continuing.
In symmetric ways, we define left class-closing factor maps and left continuing factor maps. It is also helpful that continuing factor maps are eresolving up to topological conjugacy [5, 7, 16].
Definition 2.10**.**
If given any in with in there is in with in , then is said to be right eresolving. Left eresolving factor maps are defined in a similar way and bi-eresolving factor maps are factor maps which are both left and right eresolving factor maps.
Bi-class-closing factor maps, bi-continuing factor maps and bi-eresolving factor maps refer to both left and right class-closing factor maps, continuing factor maps and eresolving factor maps, respectively.
Theorem 2.11**.**
[1]** The following are equivalent:
- (1)
* is constant on .* 2. (2)
* is constant on .* 3. (3)
* is left class-closing and right continuing.* 4. (4)
* is right class-closing and left continuing.* 5. (5)
* is bi-class-closing and bi-continuing.*
Theorem 2.12**.**
[1]** The following are equivalent:
- (1)
* is fiber-mixing.* 2. (2)
For all in . 3. (3)
* is bi-class-closing and bi-continuing and .* 4. (4)
There is such that for all in . 5. (5)
There is such that for all in .
2.3. Gibbs measures
Let be a mixing shift of finite type over an alphabet .
Definition 2.13**.**
A -invariant measure on is called a 1-step Markov measure if there are a initial probability vector on and an stochastic matrix such that
[TABLE]
for all in . A measure on is called a Markov measure if it is conjugate to a 1-step Markov measure on a shift of finite type.
Denote by .
Definition 2.14**.**
Let be in . A -invariant measure on is called a Gibbs measure for if there are and a real number such that
[TABLE]
for all in and in , where is called a potential of with Gibbs constants . If in particular, then is called a normalized potential of .
Markov measures are Gibbs measures for locally constant potentials. Also, we can easily verify that it is invariant under conjugacy whether the given measure is Gibbs or not.
If is a Gibbs measure for a potential , then subtracting from we can always assume a normalized potential. For the convenience, all the potentials in this paper are assumed normalized.
3. Factor maps which admit transitions between right classes
We start by showing that factor maps does not preserve Gibbsian property if it admits a right transition between distinct right classes over a periodic point. Throughout the section is always a 1-block factor map from a two-sided 1-step mixing shift of finite type over onto a sofic shift over . The following example exhibits a typical behaviour of such ones.
Example 3.1**.**
The labelling given in Figure 1 admits a transition between two right classes over a fixed point . Define a Markov measure on putting transition probabilities on and and on each of and . Set . Then
[TABLE]
On the other hand, for we have . Since goes either to 0 or for any , never is a Gibbs measure.
As in the previous example, we will find points of where the transformed measures violate the inequality (1) for any positive real constant and continuous function. Such points are found among periodic points as they behave more regularly and are easier to compute and control the complexity of their transition classes. The desired periodic points and measures on their fibers are given by Lemma 3.9.
First, we compute the approximate growth rate of the complexity of the transition classes of periodic points.
Definition 3.2**.**
Let be in , an interval in , in and a right class over . We say to be marked in by and let belong to the set if
[TABLE]
The blocks in but not in are said to be transient through . For the convenience, let for in .
Remark 3.3*.*
It is easy to see that if is in and is an interval in the right of then is in and that any block containing a marked block as a suffix is marked. Also, any block containing a marked block by as a prefix is marked by as well if it appears in .
With the notion of marked and transient blocks, define a notion of the length of bridges in nonstop transition.
Lemma 3.4**.**
[3, Lemma 4.18]** Let be in . There is in such that is in .
Let denote the smallest with in . Allow it to take as its value.
Remark 3.5*.*
The proof of Theorem 2.6 reveals that for any in distinct right classes , , over and there are infinitely many with partitioned into tangled subsets. It is not explicitly stated but implied in the proof of [3, Theorem 4.22], through stages 1 to 3.
Definition 3.6**.**
Let be in with nonstop transition between two right classes over it. Given in , in and a bridge from to set
[TABLE]
and . We define the length of by . The length of is defined to be the supremum of over all bridges from to .
From the definition it is immediate that for any bridge between distinct classes is positive and finite.
Lemma 3.7**.**
If is periodic, then the length of any nonstop transition over is finite. That is, there is a uniform upper bound on where varies over all bridges from to .
Proof.
Suppose that the claim does not hold. For each there are in , in and a bridge from to with and increasing . As is periodic we may choose periodic , applying Theorem 2.6. Note that we can take whose smallest period is less than or equal to thrice the length of a word of depth appearing in . Such periodic points of bounded periods are finitely many, so we have in such that for each there are in and a bridge from to with and nondecreasing .
Refine the selection of so that all the have the same residue modulo a period of for infinitely many . Shift all those selected and so that we have and .
Set . If there is a bridge from to , then by Remark 3.3 is marked by at . It violates the definition of . On the other hand if there is a bridge from to , then it implies appears in . This time, a contradiction on is derived.
Hence there is neither a bridge from to nor a bridge from to for each selected . By compactness, we get limit points and of those ’s and ’s, respectively, such that is left asymptotic to but admits no -bridge from nor to . This is not equivalent to nor to , however and since is a limit point of and , for each selected . Since is nonstop, clearly may not exist and a contradiction is induced. ∎
Consider a notion of period for a transition class in a natural way. A transition class has period if . When , is called fixed. Every transition class over a periodic point is also periodic.
Lemma 3.8**.**
Let be a periodic point in and a right class over with period . Let be a subset of the language of which consists only of marked blocks in . For each fully supported Markov measure on , we have and with
[TABLE]
Proof.
Every sufficiently long word which appears in has depth . As is obtained from by performing a -invariant operation, that is, forbidding transient blocks everywhere, we have as well. Remark 3.3 implies that is nonempty.
Let be an arbitrary fully supported 1-step Markov measure on . Let the matrix given by for and in . Let and be the matrix given by
[TABLE]
for and in . Then is the sum of all the probabilities of the paths of length from to up to . As is fully supported and is tangeld for some , is primitive and has a unique Perron eigenvalue . So where and are the normalized right and left Perron eigenvectors of , respectively.
As is mixing, for a left Perron eigenvector of with we have
[TABLE]
Finally, is a linear combination of eigenvectors of , thus grows approximately in the ratio of . ∎
Lemma 3.9**.**
Let be a periodic point in and a right class over . Let be a subset of the language of which consists only of marked blocks in . Then we have in and such that given there are a fully supported Markov measure on and with
[TABLE]
Proof.
The proof starts with the same idea and setting as in the previous lemma. Assume without loss of generlity that is not trivial. Let be an arbitrary fully supported 1-step Markov measure on and the matrix given by for and in . Let and be the matrix given by
[TABLE]
for and in . As in Lemma 3.8, is primitive and has a unique Perron eigenvalue . If is concentrated on the orbit of some periodic point in , then and is a constant. However, as is nontrivial, there is a periodic point in and must be smaller than 1 for to be fully supported. For a left Perron eigenvector of with we have
[TABLE]
Set . Imagine that we change the entries of smoothly. By the continuity of linear algebra, we can find fully supported 1-step Markov measures on such that the respected are sufficiently close to and 1. Then given the fully supporeted with is found by the intermediate value theorem. Finally, is a linear combination of eigenvectors of , and grows approximately in the ratio of . ∎
Remark 3.10*.*
All the other right classes on the orbit of have the same growth rate of complexity as . If is another right class over not on the orbit of , that is, for all , then we have in and such that given there are a fully supported Markov measure on and with
[TABLE]
The proof is similar to Lemma 3.9.
Proposition 3.11**.**
If there is a periodic point in which admits a transition between distinct rights classes, then admits a fully supported Markov measure which is not sent to a Gibbs measure by .
Proof.
Let and denote a periodic point in with for all in . Let be nonstop transition over . Since is periodic, and are not on the same orbit.
Replacing with a power of if needed, we may assume where
[TABLE]
Let be the set of all bridges from to with transient through for some . It is finite. We also may assume for any right class over .
Since there is a point of more than one class is nontrivial. Assume large enough and apply Remark 3.10 to find a fully supported Markov measure on and with
[TABLE]
and
[TABLE]
for all the other right classes over not on the orbits of and .
Every bridge from to has their transient blocks contained in for some in . Consider the cylinder sets determined by by all those bridges from to . The measure of their union is bounded above and below by multiplied with the number of bridges from to and with the number of intervals of length in , up to constants. That is,
[TABLE]
for some and all .
For to be a Gibbs measure, there must be a continuous function with
[TABLE]
where is bounded above and below at the same time by positive real numbers. However, resetting the values of if needed, we have for all
[TABLE]
So (2) goes to 0 as increases if and to otherwise because of the summand . Therefore fails to be a Gibbs measure. ∎
Proposition 3.11 is only about transitions between classes over periodic points. Here we show that bi-continuing factor maps admits such a transition if it does a transition between classes over any points.
Proposition 3.12**.**
Let be bi-continuing. If there is a point in which admits a transition between distinct rights classes, then admits a fully supported Markov measure which is not sent to a Gibbs measure by .
Proof.
We show that if is bi-continuing and there is a point in with two distinct right classes , then there is a periodic point in and two right classes with . Then Proposition 3.11 completes the proof.
Up to conjugacy, assume that is bi-eresolving. Take a point with distinct right classes where is nonstop. Choose from each . Select a sequence of bridges from to with . By shifting the points, we may assume . Further we require that for each is partitioned into tangled subsets: it is possible by Remark 3.5. Finally, refine the selection of so that -tuples , are all the same independently of .
Repeat and to get and which are periodic points given by the following:
[TABLE]
for . As we have a bridge from to , there is a transition . If , then is a desired periodic point with and we are done.
Now, suppose to the contrary, that is, . Find an -bridge
\textstyle\vec{\reflectbox{\mkern-3.0mu\textstyle x\mkern 3.0mu}}
from to . As is bi-eresolving, we can find a preimage of with \bar{x}|_{[r_{1},r_{2}]}=\mathchoice{\mkern 3.0mu\reflectbox{\displaystyle\vec{\reflectbox{}}}\mkern-3.0mu}{\mkern 3.0mu\reflectbox{\textstyle\vec{\reflectbox{}}}\mkern-3.0mu}{\mkern 2.0mu\reflectbox{\scriptstyle\vec{\reflectbox{}}}\mkern-2.0mu}{\mkern 2.0mu\reflectbox{\scriptscriptstyle\vec{\reflectbox{}}}\mkern-2.0mu}|_{[r_{1},r_{2}]}. Let be in for some . If and stays in , then we reset to be another preimage of with \bar{x}|_{[r_{1},r_{2}]}=\mathchoice{\mkern 3.0mu\reflectbox{\displaystyle\vec{\reflectbox{}}}\mkern-3.0mu}{\mkern 3.0mu\reflectbox{\textstyle\vec{\reflectbox{}}}\mkern-3.0mu}{\mkern 2.0mu\reflectbox{\scriptstyle\vec{\reflectbox{}}}\mkern-2.0mu}{\mkern 2.0mu\reflectbox{\scriptscriptstyle\vec{\reflectbox{}}}\mkern-2.0mu}|_{[lr_{2},(l+1)r_{2}]} where is the smallest natural number with . Such must exist since
\textstyle\vec{\reflectbox{\mkern-3.0mu\textstyle x\mkern 3.0mu}}
is a bridge to .
Note that is indeed a bridge from into , so since . If , then and , which is a contradiction. If , then , and we apply the same argument as above to and . That is, construct peridoic points and repeating and , and see whether or not. If not, we found the desired periodic points. If so, by the similar argument as in the case of and we get another contradiction or another transition from into some transition class over other than . As there are finitely many classes over , we may not continue this process forever and in the end will find two non-equivalent periodic points with a transition between them. ∎
4. When factor maps reduce periods
In the present section, we show that factor maps does not preserve Gibbsian property if it reduces the periods of right classes. Throughout the section is always a 1-block factor map from a two-sided 1-step mixing shift of finite type over onto a sofic shift over .
Lemma 4.1**.**
Let be a periodic point in . Then we have conjugacies and such that is a 1-block conjugacy with
[TABLE]
for all in and in .
Proof.
By [3, Lemma 4.15], for each we have in with
[TABLE]
As is periodic, is finite. Set so that we have for any
[TABLE]
Define on and on by
[TABLE]
respectively, and set and . They are clearly injective, and hence, conjugacies onto and , respectively. Also is a 1-block map since given any in we have , which is just the second component of .
Finally, consider any in . Then,
[TABLE]
On the other hand,
[TABLE]
Therefore . ∎
Lemma 4.2**.**
Let be a Gibbs measure on for a normalized potential which is also the image of a Markov measure on under a factor map . Let admit no transition between distinct classes. Then for a periodic point of with period we have
[TABLE]
Proof.
Let for each . As is periodic, by Lemma 4.1 we may assume up to some conjugacy
[TABLE]
As admits no transition between distinct classes, we further have
[TABLE]
By Lemma 3.8, for each right class over we have some , and in with . Let and be a right class over with . Let . All the ’s are distinct but . Then converges and so do , , as increases.
Now, let . There exists , by the Gibbs inequality for , such that for all we have
[TABLE]
for all and . Also we have
[TABLE]
for some . Similarly,
[TABLE]
for each and some .
If and increase along multiples of , then , so . Similarly, when increases along multiples of for each . Hence , that is,
[TABLE]
∎
An example is presented to illustrate typical behaviour in period reducing cases.
Example 4.3**.**
In Figure 2 has two right classes of period 2. Define a 1-step fully supported Markov measure on given by the stochastic matrix
[TABLE]
Its initial probability vector is given by . Let . Then
[TABLE]
and
[TABLE]
By Lemma 4.2, for to be a Gibbs measure for some potential , needs to converge. If so, then and . However, it implies that is not fully supported. That is, all the fully supported 1-step Markov measures on lose their Gibbs property when transformed under .
Proposition 4.4**.**
If there is a periodic point in the period of which is strictly smaller than the period of some right class over it, then admits a fully supported Markov measure which is not sent to a Gibbs measure by .
Proof.
By Propositions 3.11 we may assume that no transition is allowed between distinct right classes over periodic points. Then, for every right class over a periodic point of we have . Choose a periodic point in with the smallest period and a right class of the smallest period . Say with , and . Apply Lemma 4.1 to assume for all in .
We need a little more preparation. Taking a higher-block presentation, we may assume that , , are all distinct. If consists of a single fixed point , then has to be its unique transition class which is fixed as well. We already excluded this case, so has more than one point and there is in such that has a following symbol which lies outside and will be called an escaping symbol from . Shifting we may assume . Let a 1-step Markov measure on which assigns large transition probabilities on escaping symbols from which follows and small transition probabilities on escaping symbols from which follows : Say, the latter probabilities are all 0 and the former ones . That is, once you get in you stay there until is met.
Through Lemma 3.9 and Remark 3.10 we modify a little so that
[TABLE]
for some positive real numbers and any right class over not on the orbit of . Applying Lemma 4.2 we see that converges. Since ,
[TABLE]
Similarly,
[TABLE]
Let and be the sums of all initial probabilities of the states in , and of all initial probabilities of the states in , , determined up to , respectively. Then
[TABLE]
Also
[TABLE]
and
[TABLE]
Suppose that is a Gibbs measure. The convergence of with respect to is implied by Lemma 4.2. So and
[TABLE]
must coincide. If , then implies that so that cannot be fully supported. Otherwise, and we get . Even if for some Markov measure on we have , modifying the value of a little we obtain a Markov measure on with , since and change linearly with respect to while is a quadratic expression of and . Now, by the continuity of linear algebraic operations, we are able to construct a fully supported Markov measure on with , finishing the proof. ∎
5. When factor maps are not bi-continuing
In the present section, we show that factor maps does not preserve Gibbsian property if it is not bi-continuing. Throughout the section is always a 1-block factor map from a two-sided 1-step mixing shift of finite type over onto a sofic shift over .
First, we are going to reduce the non-continuing property to periodic points. Given a two-sided sequence we introduce the notions of its initial and eventual class degrees. Consider transitions and class degrees over one-sided sequences in a natural way: for left and right infinite sequences, left and right transitions and class degrees, respectively, are well-defined similarly as before. The initial and eventual class degrees of are defined to be and , respectively. If has eventual class degree , then there are preimages of and in such that each preimage of is right equivalent to some , , and , , for any . Similar things happen when has initial class degree .
A point is called eventually periodic if for some in is periodic, and is called initially periodic if for some in is periodic.
For in let denote the -limit set of , that is, the set of the limit points of . Let denote the set of the limit points of .
Lemma 5.1**.**
There is such that any word of length in has a subword of length with .
Proof.
Suppose not. Given any there is a word in for some such that all the subwords of are strictly shallower than . By compactness, we get a point in with for all in . It clearly contradicts Theorem 2.6. ∎
Proposition 5.2**.**
The following are equivalent:
- (1)
* is not right continuing;* 2. (2)
There is in such that is left asymptotic to an initially periodic point in but no point left asymptotic to is sent to ; 3. (3)
There is in with strictly greater initial class degree than left class degree.
Proof.
(2) (1): Trivial by definition of continuing property.
(1) (3): There is in such that is left asymptotic to a point in but no point left asymptotic to is sent to . Let . Then given any preimage of there is no bridge from to since such a bridge would make a preimage of left asymptotic to . Hence we have at least one more preimage of which is not left equivalent to for any preimage of . Immediately, the inital class degree of is strictly greater than .
(3) (2): Let . Let be the initial class degree of and assume . Take preimages of , in and in such that and for any and .
By an analogue of Theorem 2.6 for left transitions, there are infinitely many and such that has depth . By Lemma 5.1 we may bound from above. Then there must be a recurrent word in with depth . Find such that has depth . Also we may assume that is fiber-routable through
[TABLE]
at some .
Shifting , assume . Let
[TABLE]
for . Clearly , and are initially periodic and are preimages of .
Suppose that a preimage of is left asymptotic to . As is fiber-routable through at , there is through which is routable at . Assume . If such is greater than , then is a preimage of left asymptotic to , which is a contradiction. Otherwise, there is in such that meets for some but does for some . Then is a preimage of left asymptotic to while , which is absurd again.
Hence, for we do not have a preimage of left asymptotic to . ∎
A similar result holds for left continuing factor maps and their eventual class degrees.
Lemma 5.3**.**
Let be a Gibbs measure on a 1-step mixing shift of finite type for a normalized potential and Gibbs constants . Let and be in with for some . Then
[TABLE]
Proof.
Immediate from
[TABLE]
and
[TABLE]
∎
An example is presented to illustrate typical behaviour in non-continuing cases.
Example 5.4**.**
[8] The factor map presented in Figure 3 is neither left nor right continuing: has two right classes and but has no following edge labelled 2 while is followed by an edge labelled 2, which shows that is not right continuing. In a similar way, is easily shown to be not left continuing.
Define a 1-step fully supported Markov measure on by putting transition probabilities on and , respectively, and let . Then for some constant is smaller than and goes to 0 as increases. Suppose that is a Gibbs measure for some normalized potential and Gibbs constants . By Lemma 5.3 and the inequality (1), we have
[TABLE]
which is absurd. Hence, is not a Gibbs measure for any .
Proposition 5.5**.**
Let be not bi-continuing. Then admits a fully supported Markov measure which is not sent to a Gibbs measure by .
Proof.
Assume that is not right continuing. By Proposition 5.2 there are initially periodic points in such that is left asymptotic to but no left asymptotic point of is a preimage of . Say and where and no follower of in is mapped to .
Let and . By Proposition 3.11 we may assume that does not admit a transition between distinct right classes over a periodic point of . Then and . If and are on the same orbit, then it implies that reduces the period of to the period of so that Proposition 4.4 is applied to finish the proof. Thus we may assume that is not the orbit of .
Let for . Let be a fully supported Markov measure on , found by Remark 3.10, such that for some positive real numbers , and any right class not on the orbit of over . Let . Consider and . For all , is larger than or equal to . On the other hand,
[TABLE]
for some constant since meets no orbit of . Then for some and large enough we have . Thus is smaller than up to a constant and goes to 0 as increases to .
On the while, suppose that is a Gibbs measure for some normalized potential and Gibbs constants . Then
[TABLE]
and
[TABLE]
where and . By Lemma 5.3 we have
[TABLE]
for all . This contradicts the conclusion of the previous paragraph, therefore fails to be a Gibbs measure.
If is not left continuing, then we consider instead of . A symmetric argument completes the proof in the first case. ∎
Corollary 5.6**.**
If there is a point in which admits a transition between distinct right classes, then admits a fully supported Markov measure which is not sent to a Gibbs measure by .
Proof.
Apply Proposition 3.12 if is bi-continuing, or Proposition 5.5 otherwise. ∎
Corollary 5.7**.**
If , then admits a fully supported Markov measure which is not sent to a Gibbs measure by .
Proof.
We may assume by Propositions 5.5, 4.4 and Corollary 5.6 that is bi-eresolving, that preserves the periods of points and that no transition is admitted between right classes. We claim that such a factor map has class degree 1.
Choose any in , let and find a shortest path with allowed in . As is bi-eresolving, all the other , have respective predecessors and successors with the same image as and, conversely, every preimage of has some preimages of as its preceding and succeeding symbols. So for each there is a cycle which is a preimage of a power of and ends with .
Let and , . Consider . Either it is a bridge from to , so , or is a prefix of a power of , a suffix of a power of and is a nontrivial shift of . The latter case is in fact not allowed since such would reduce the periods of . Only the former case is valid. Since no transition exists between right classes, and for some and are routable through a single symbol at some index. Immediately, all the preimages of following and are routable through a single symbol.
For every , find with in and let . In a similar way as above, for some all the preimages of following and are routable through a single symbol at some index.
Set and consider . For any preimage of with there is a bridge from to some power of , since if follows then there is a bridge to from . In turn, for any preimage of with , there is a bridge from to some preimage of ending with . In a similar way, from all the preimage of following , there are bridges to some preimages of ending with and vice versa. Thus . ∎
6. Remarks
We have seen that a factor map from a mixing shift of finite type can preserve Gibbisian property only if it is bi-continuing, preserves the smallest periods of periodic right classes and admits no transition between distinct right classes.
Definition 6.1**.**
A factor map is said to be nearly fiber-mixing if it is bi-continuing, preserves the smallest periods of periodic right classes and admits no transition between distinct right classes.
By Corollary 5.7 a nearly fiber-mixing factor map always has class degree 1. Fiber-mixing factor maps are nearly fiber-mixing and finite-to-one nearly fiber-mixing factor maps are conjugacies. In [11] it was shown that a fiber-mixing factor map sends a Gibbs measure with a Hölder continuous potential on a mixing shift of finite type to a Gibbs measure on its image shift. Here we show that there exists actually a nearly fiber-mixing factor map which is not fiber-mixing.
Example 6.2**.**
Let be the underlying edge shift given in Figure 4, the labelling map and the sofic shift given by the labelled graph. Then is nearly fiber-mixing.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] Mahsa Allahbakhshi, Soonjo Hong, and Uijin Jung, Class-closing factor codes and constant-class-to-one factor codes from shifts of finite type , Dyn. Syst. 30 (2015), no. 4, 485–500. MR 3430312
- 2[2] MAHSA ALLAHBAKHSHI, SOONJO HONG, and UIJIN JUNG, Structure of transition classes for factor codes on shifts of finite type , Ergodic Theory and Dynamical Systems 35 (2015), 2353–2370.
- 3[3] Mahsa Allahbakhshi and Anthony Quas, Class degree and relative maximal entropy , Trans. Amer. Math. Soc. 365 (2013), no. 3, 1347–1368. MR 3003267
- 4[4] Rufus Bowen, Equilibrium states and the ergodic theory of Anosov diffeomorphisms , revised ed., Lecture Notes in Mathematics, vol. 470, Springer-Verlag, Berlin, 2008, With a preface by David Ruelle, Edited by Jean-René Chazottes. MR 2423393 (2009 d:37038)
- 5[5] Mike Boyle and Selim Tuncel, Infinite-to-one codes and markov measures , Trans. Amer. Math. Soc. 285 (1984), no. 2, 657–684. MR 752497 (86b:28024)
- 6[6] J. R. Chazottes and E. Ugalde, Projection of Markov Measures May Be Gibbsian , Journal of Statistical Physics 111 (2003), no. 5-6, 1245–1272.
- 7[7] Uijin Jung, On the existence of open and bi-continuing codes , Trans. Amer. Math. Soc. 363 (2011), no. 3, 1399–1417. MR 2737270 (2012 b:37035)
- 8[8] T. M W Kempton, Factors of Gibbs measures for subshifts of finite type , Bulletin of the London Mathematical Society 43 (2011), no. 4, 751–764.
