THE THERMODYNAMIC FORMALISM FOR SUB-ADDITIVE POTENTIALS. Yong-Luo Cao. De-Jun Feng. Wen Huang. (Communicated by )

Size: px
Start display at page:

Download "THE THERMODYNAMIC FORMALISM FOR SUB-ADDITIVE POTENTIALS. Yong-Luo Cao. De-Jun Feng. Wen Huang. (Communicated by )"

Transcription

1 Manuscript submitted to AIMS Journals Volume X, Number 0X, XX 200X Website: pp. X XX THE THERMODYNAMIC FORMALISM FOR SUB-ADDITIVE POTENTIALS Yong-Luo Cao Department of Mathematics, Suzhou University Suzhou, 25006, Jiang Su, P. R. China De-Jun Feng Department of Mathematics, The Chinese University of Hong Kong Shatin, Hong Kong and Department of Mathematical Sciences, Tsinghua University Beijing, 00084, P. R. China Wen Huang Department of Mathematics, University of Science and Technology of China Hefei, , Anhui, P. R. China (Communicated by Abstract. The topological pressure is defined for sub-additive potentials via separated sets and open covers in general compact dynamical systems. A variational principle for the topological pressure is set up without any additional assumptions. The relations between different approaches in defining the topological pressure are discussed. The result will have some potential applications in the multifractal analysis of iterated function systems with overlaps, the distribution of Lyapunov exponents and the dimension theory in dynamical systems.. Introduction and main results. The well-known notion of topological pressure for additive potentials was first introduced by Ruelle [25] in 973 for expansive maps acting on compact metric spaces. In the same paper he formulated a variational principle for the topological pressure. Later Walters [28] generalized these results to general continuous maps on compact metric spaces. The variational principle formulated by Walters can be stated precisely as follows: Let T : X X be a continuous transformation on a compact metric space (X, d and φ : X R an arbitrary continuous function. Let P (φ, T denote the topological pressure of φ (see [29]. Then { P (φ, T = sup h µ (T + } φ dµ : µ M(X, T, ( where M(X, T denotes the space of all T -invariant Borel probability measures on X endowed with the weak* topology, and h µ (T denotes the measure-theoretical entropy of µ. A T -invariant Borel probability measure µ such that P (φ, T = h µ (T + φ dµ, if it exists, is called an equilibrium state for φ. The theory about 2000 Mathematics Subject Classification. Primary: 37D35; Secondary: 34D20. Key words and phrases. Thermodynamical formalism, Variational principle, Topological pressures, Lyapunov exponents, Entropies, Products of matrices.

2 2 CAO, FENG AND HUANG the topological pressure, variational principle and equilibrium states plays a fundamental role in statistical mechanics, ergodic theory and dynamical systems (see, e.g., [4, 8, 26, 29]. Since the works of Bowen [5] and Ruelle [27], the topological pressure has also become a basic tool in the dimension theory in dynamical systems (see, e.g., [23, 30]. In 984, Pesin and Pitskel [24] defined the topological pressure of additive potentials for non-compact subsets of compact metric spaces and proved the variational principle under some supplementary conditions. Their work extended Bowen s results in [3] on topological entropy for non-compact sets. In this paper, we generalize Ruelle and Walters s results to sub-additive potentials in general compact dynamical systems. We define the topological pressure for subadditive potentials F = {log f n } n= and set up a variational principle between the topological pressure, measure-theoretical entropies and Lyapunov exponents. It is now log f n which plays the role of the classical potential. More precise, log f n plays the role of φ + φ T φ T n. To formulate our results, let T : X X be a continuous transformation on a compact metric space (X, d. A sequence F = {log f n } n= of functions on X is called sub-additive if each f n is a continuous non-negative valued function on X such that 0 f n+m (x f n (xf m (T n x, x X, m, n N. (2 We first define the topological pressure of F with respect to T. As usual for any n N and ɛ > 0, a set E X is said to be an (n, ɛ-separated subset of X with respect to T if max 0 i n d(t i x, T i y > ɛ for any two different points x, y E. Define { } P n (T, F, ɛ = sup f n (x : E is an (n, ɛ-separated subset of X. x E It is clear that P n (T, F, ɛ is a decreasing function of ɛ. Define P (T, F, ɛ = lim sup n n log P n(t, F, ɛ. P (T, F, ɛ is also a decreasing function of ɛ. Set P (T, F = lim ɛ 0 P (T, F, ɛ and we call it the topological pressure of F with respect to T. By the definition, P (T, F takes a value in [, +. For a T -invariant Borel probability measure µ, denote F (µ = lim n n log f n dµ. The existence of the above limit follows from a sub-additive argument. We call F (µ the Lyapunov exponent of F with respect to µ. It also takes a value in [, +. As a main result, we obtain the following variational principle. Theorem.. Let F = {log f n } n= be a sub-additive potential on a compact dynamical system (X, T. Then, if F (µ = for all µ M(X, T, P (T, F = sup {h µ (T + F (µ : µ M(X, T, F (µ }, otherwise. In the above theorem we adopt the rigorous expression just in order to avoid the situation that h µ (T = + and F (µ = take place simultaneously. If there is no such confusion, for instance the topological entropy of T is assumed to be finite,

3 SUB-ADDITIVE POTENTIALS 3 then we can state the variational principle simply as: P (T, F = sup{h µ (T +F (µ : µ M(X, T }. Our original motivation for studying the above issue comes from the study of multifractal formalism for self-similar measures with overlaps (the reader is referred to [, 23] for some basic information about self-similar measures and multifractals. It is known that in many interesting cases a self-similar measure with overlaps can be locally represented as infinite products of a family of matrices (see, e.g., [2, 5, 9, 20]. Thus to understand the corresponding multifractal formalism for these measures one needs to study the distribution of Lyapunov exponents for products of matrices. A similar task also arises in the study of regularity of the solutions of refinement equations in wavelets (see [6, 7, 8]. For the above purpose, a thermodynamic formalism (pressure functions, Gibbs measures and the distribution of Lyapunov exponents for non-negative matrix-valued potentials was developed in [3, 6]. Moreover, a variational principle for products of non-negative matrices in symbolic spaces was set up by Feng in [4]. Namely, let M be a continuous nonnegative matrix-valued function defined on a mixing sub-shift space and denote F = {log f n } where f n (x = n M(T i x, and denotes the norm of matrices, then Theorem. was proved in [4] under this special setting. However due to Theorem., we have the following more general result about products of matrices: Corollary.2. Let M be a continuous function defined on (X, T taking values in the set of all d d (real or complex matrices. Let F = {log f n } where f n (x = n M(T i x, and denotes the norm of matrices, then the result of Theorem. holds. We point out that Falconer and Barreira had some earlier contributions in the study of thermodynamic formalism for sub-additive potentials. In [9], Falconer considered the thermodynamic formalism for sub-additive potentials on mixing repellers. He proved the variational principle for the topological pressure under some Lipschitz conditions and bounded distortion assumptions on the sub-additive potentials. More precise, he assumed that there exist constants M, a, b > 0 such that n log f n(x M, n log f n(x log f n (y a x y, x, y X, n N and log f n (x log f n (y b whenever x, y belong to the same n-cylinder of the mixing repeller X. In 996, Barreira [] extended the work of Pesin and Pitskel [24]. He defined the topological pressure for an arbitrary sequence of continuous functions on an arbitrary subset of compact metric space and proved the variational principle under a strong convergence assumption on the potentials. Corresponding to our setting, Barreira assumed that there exists a continuous function ψ : X R such that log f n+ log(f n T converges to ψ uniformly on X. We remark that the assumptions given by Falconer and Barreira are usually not satisfied by general sub-additive potentials, for instance, the one generated by the product of general matrices in Corollary.2. The major virtue of our result is that we don t need any additional assumptions on the compact continuous dynamical system (X, T nor any regularity assumption on F. Our definition of the topological pressure for sub-additive potentials in this section adopts an approach via separated sets, which is similar to the classical additive case (see Walters book [29]. It is proved to be equivalent to Falconer s definition in the mixing repeller case. Nevertheless our definition is different from

4 4 CAO, FENG AND HUANG that of Barreira through open covers. We don t know if in general these two definitions are equivalent. However, we do prove that they are equivalent in some situations (for instance, when the entropy map is upper semi-continuous and the topological entropy is bounded. In section 4, we provide another definition of the topological pressure via open covers, which is equivalent to the one given in this section. Our proof of Theorem. is a generalization of Misiurewicz s elegant proof of the classical variational principle [2]. The principal applications of Theorem. are closely related to the dimension estimates for a broad class of Cantor-like sets and dynamical repellers [, ], the multifractal structure of iterated function systems with overlaps [2, 20], the distribution of Lyapunov exponents of a dynamical system [9, 3]. After a first version of this paper was completed, we were informed that Barreira [2] and Mummert [22] independently considered the thermodynamic formalism of almost-additive potentials, where F = {log f n } is assumed to satisfy 0 < c f n (xf m (T n x f n+m (x cf n (xf m (T n x. They proved the variational principle under an additional tempered variation condition and gave some conditions for the existence and uniqueness of equilibrium states and Gibbs measures. We were also informed that Käenmäki [7] proved the variational principle on full shift symbolic spaces for a class of special sub-additive potentials F = {log f n } (where f n (x were assumed to depend upon only the first n coordinates of x using the upper semi-continuity of the entropy map on symbolic spaces, she also showed that for typical self-affine sets there exists an ergodic invariant measure having the same Hausdorff dimension as the set itself. The paper is arranged in the following manner: in section 2 we provide some useful lemmas, in section 3 we prove Theorem., and in section 4 we discuss the relations between different approaches in the definition of the topological pressure. 2. Some Lemmas. In this section, we give some lemmas which are needed in our proof of Theorem.. Let F = {log f n } n= be a sequence of functions defined on a compact metric space (X, d, and T : X X a continuous map. Assume that F is sub-additive. Let P (T, F be defined as in section. We begin with the following lemma. Lemma 2.. For any k N, we have ( P T k, F (k = kp (T, F, where T k := T } {{ T } and F (k := {log f kn } n=. k times Proof. Fix k N. Observe that if E is an (n, ɛ-separated subset of X with respect to T k, then E must be an (nk, ɛ-separated subset of X with respect to T. It follows that { } P n (T k, F (k, ɛ = sup f kn (x : E is (n, ɛ-separated w.r.t T k x E { } sup f kn (x : E is (nk, ɛ-separated w.r.t T x E = P kn (T, F, ɛ,

5 SUB-ADDITIVE POTENTIALS 5 from which we deduce that P (T k, F (k kp (T, F. To show the reverse inequality, for any ɛ > 0 we choose δ > 0 small enough such that d(x, y δ = max d(t i x, T i y < ɛ. (3 i k Define C = max (, sup x X f (x. Then C <. Moreover f n (x f (xf (T x... f (T n x C n for all x X and n N. Now for any given natural number n, let l be an arbitrary integer in [kn, k(n +. Observe that by (3, any (l, ɛ-separated subset of X with respect to T must be an (n, δ-separated subset of X with respect to T k. This observation together with f l (x f nk (xf l nk (T nk x C k f nk (x yields { } P l (T, F, ɛ = sup f l (x : E is (l, ɛ-separated w.r.t T x E { } sup C k f kn (x : E is (n, δ-separated w.r.t T k x E = C k P n (T k, F (k, δ. This implies kp (T, F P (T k, F (k. Lemma 2.2. Let n, k be two positive integers with n 2k. For any x X, we have n k (f n (x k C 2k2 f k (T j x, where C = max (, sup x X f (x. Proof. Let x X. For j = 0,,..., k, we have Hence f n (x f j (xf n j (T j x C j f n j (T j x. (f n (x k k k C j f n j (T j x C k2 f n j (T j x. (4 Observe that for any given j between 0 and k, ( tj ( tj f n j (T j x f k (T kl+j x f n j ktj (T ktj+j x C k f k (T kl+j x, l=0 where t j is the largest integer t so that kt + j n. Combining the above inequality with (4 yields k (f n (x k C 2k2 t j l=0 This finishes the proof of the lemma. n k f k (T kl+j x = C 2k2 l=0 f k (T j x. After a first version of this paper was completed, we were informed that an analogous inequality, (f n (x k C 3k2 n f k(t j x, was obtained by Käenmäki (see [7, Lemma 2.2].

6 6 CAO, FENG AND HUANG Lemma 2.3. Suppose {ν n } n= is a sequence in M(X, where M(X denotes the space of all Borel probability measures on X with the weak* topology. We form the new sequence {µ n } n= by µ n = n n ν n T i. Assume that µ ni converges to µ in M(X for some subsequence {n i } of natural numbers. Then µ M(X, T, and moreover lim sup log f ni (x dν ni (x F (µ. i n i Proof. The statement µ M(X, T is well-known (see [29, Theorem 6.9] for a proof. To show the desired inequality, we fix an k N. For n 2k, by Lemma 2.2 we have n where µ n,k = log f n (x dν n (x = kn n i n k n k+ kn = n k + kn log (f n (x k dν n (x n k log f k (T j x dν n (x + 2k 2 log C log f k dµ n,k + ν n T i. In particular, log f ni dν ni n i k + log f k dµ ni,k + n i k Note that for any g C(X, n g dµ n (n k + g dµ n,k = n i=n k+ (k sup x X 2k log C, n 2k log C n i. (5 g(t i x dν n (x g(x. It follows that lim n ( g dµ n g dµ n,k = 0. Since lim i µ ni = µ, we have lim i µ ni,k = µ. Notice that f k is a non-negative continuous function on X. We have lim sup log f k dµ ni,k lim lim sup log(f k + ɛ dµ ni,k i ɛ 0 i = lim log(f k + ɛ dµ ɛ 0 = log f k dµ. Combining it with (5 yields lim sup log f ni dν ni log f k dµ. i n i k Now the desired inequality follows by letting k. Lemma 2.4. Let ν M(X. Suppose ξ = {A,..., A k } is a partition of (X, B(X. Then for any positive integers n, l with n 2l, we have ( n ( n H ν T i ξ l l H ν n T i ξ + 2l log k, n where ν n = n n ν T i.

7 SUB-ADDITIVE POTENTIALS 7 Proof. The above result is contained implicitly in the proof of the classical variational principle given by Misiurewicz (see [29]. In the following we present a complete proof for the reader s convenience. For 0 j l, let t j denote the largest integer t so that tl + j n. Then we have n t j l T i ξ = T rl j T i ξ T m ξ r=0 m S j for any 0 j l, where S j is a subset of {0,..., n } with cardinality at most 2l. Hence ( n t j ( l H ν T i ξ H ν T rl j T i ξ + 2l log k. r=0 Summing this over j from 0 to l gives ( n l t j ( lh ν T i ξ H ν = = r=0 ( n l H ν p=0 ( n H ν p=0 n H ν T p p=0 ( l nh νn T p l T rl j l T i ξ + 2l 2 log k T i ξ + 2l 2 log k T p l T i ξ + 2l 2 log k ( l T i ξ T i ξ + 2l 2 log k, + 2l 2 log k where the last inequality has used the concavity of the function φ(x = x log x. This implies the desired inequality. 3. The proof of Theorem.. In this section we give the proof of Theorem., which is influenced by Misiurewicz s elegant proof of the classical variational principle [2]. Proof of Theorem.. We divide the proof into three small steps: Step : P (T, F h µ (T + F (µ, µ M(X, T with F (µ. Suppose µ is an element in M(X, T satisfying F (µ. Let ξ = {A,..., A k } be a partition of (X, B(X. Let α > 0 be given. Choose ɛ > 0 so that ɛk log k < α. Since µ is regular there are compact sets B j A j with µ(a j \B j < ɛ, j k. Let η be the partition {B 0, B,..., B k }, where B 0 = X\ k j= B j. Then a direct check shows H µ (ξ/η < ɛk log k < α (see [29, Page 89] for details. Now set b = min i j k d(b i, B j > 0. Pick δ > 0 so that δ < b/2. Let n N. For each C n T j η, choose some x(c Closure(C such that f n (x(c = sup y C f n (y. We claim that for each C n T j η, there are at

8 8 CAO, FENG AND HUANG most 2 n many different C s in n T j η such that d n (x(c, x( C := ( max d T j (x(c, T j (x( C 0 j n < δ. To see this claim, for each C n T j η we pick the unique index (i 0 (C, i (C,..., i n (C {0,,..., k} n such that C = B i0(c T B i(c T (n B in (C. Now fix a C n T j n η and let Y denote the collection of all C T j η with d n (x(c, x( C < δ. Then we have { # i l ( C : C } Y 2, l = 0,,..., n. (6 To see this inequality, we assume on the contrary that there exists 0 l n and C, C 2, C 3 Y such that i l ( C, i l ( C 2, i l ( C 3 are distinct. Without loss of generality, we assume i l ( C 0 and i l ( C 2 0. This implies d n (x( C, x( C ( 2 d T l (x( C, T l (x( C ( 2 d B il ( C, B i l ( C 2 b > 2δ > d n (x(c, x( C ( + d n x(c, x( C 2, which leads to a contradiction. Thus (6 is true, from which the claim follows. In the following we construct an (n, δ-separated subset E of X with respect to T such that 2 n f n (y f n (x(c. (7 y E C n T j η To achieve this purpose we first choose an element C n T j η such that f n (x(c = max C f n (x(c. n T j η n Let Y denote the collection of all C T j η with d n (x(c, x( C < δ. Then the cardinality of Y does not exceed 2 n. If the collection n T j η\y is not empty, we choose an element C 2 n T j η\y such that f n (x(c 2 = max C n T j η\y f n (x(c. Let Y 2 denote the collection of C n T j η\y with d n (x(c 2, x( C < δ. We continue this process. More precise, in step m we choose an element C m n T j η\ m j= Y j such that f n (x(c m = max C n T j η\ m j= Yj f n (x(c. Let Y m denote the collection of all C n T j η\ m j= Y j with d n (x(c m, x( C < δ. Since the partition n T j η is finite, the above process will stop at some step l. Denote E = {x(c j : j =,..., l}. Then E is (n, δ-separated and f n (y = y E l f n (x(c j j= from which (7 follows. l 2 n j= C Y j f n (x(c = 2 n C n T j η f n (x(c,

9 SUB-ADDITIVE POTENTIALS 9 Recall µ M(X, T and F (µ. We have n n H µ T j η + log f n (x dµ(x n n C n T j η n log C n T j η n log 2 n f n (y y E µ(c (log f n (x(c log µ(c f n (x(c log 2 + n log P n(t, F, δ. In the second inequality above, we have used the basic inequality m i= p i(c i log p i log m i=, where c eci i R, p i 0 and m i= p i = (see [4, p. 4] for a proof. Now taking n and δ 0, we obtain h µ (T, η+f (µ log 2+P (T, F. Hence h µ (T, ξ + F (µ h µ (T, η + H µ (ξ/η + F (µ log 2 + α + P (T, F. Since ξ and α are arbitrary, we have h µ (T + F (µ log 2 + P (T, F. This holds for all continuous maps T and sub-additive potentials F. Thus we can apply it to T k and F (k to obtain k(h µ (T + F (µ = h µ (T k + F (k (µ log 2 + P (T k, F (k = log 2 + kp (T, F, where the last equality follows from Lemma 2.. Here we have used the fact that µ M(X, T k and F (k (µ = kf (µ. Since k is arbitrary, we have h µ (T + F (µ P (T, F. Step 2: If P (T, F, then for any small enough ɛ > 0, there exists a µ M(X, T such that F (µ and h µ (T + F (µ P (T, F, ɛ. Let ɛ > 0 be small enough such that P (T, F, ɛ. For any n N, let E n be an (n, ɛ-separated subset of X with respect to T such that f n (y > 0 for all y E n and log y E n f n (y log P n (T, F, ɛ. Let σ n M(X be the atomic measure concentrated on E n by the formula y E σ n = n f n (yδ y y E n f n (y, where δ y denote the Dirac measure at y. Let µ n = n n σ n T i. Since M(X is compact we can choose a subsequence {n i } of natural numbers such that lim i n i log P ni (T, F, ɛ = P (T, F, ɛ and {µ ni } converges in M(X to some µ M(X. By Lemma 2.3, µ M(X, T.

10 0 CAO, FENG AND HUANG Choose a partition ξ = {A,..., A k } of (X, B(X so that diam(a i < ɛ and µ( A i = 0 for i k. Such a partition does exist (see [29, Lemma 8.5] for a proof. Since each element of n T j ξ contains at most one point of E n, we have n H σn T j ξ + log f n dσ n = σ n ({y} (log f n (y log σ n ({y} y E n = ( σ n ({y} log f n (z y E n z E n Thus = log z E n f n (z log P n (T, F, ɛ. n n H σ n T j ξ + log f n dσ n n n log P n(t, F, ɛ n. (8 Fix l N. By Lemma 2.4, we have for n i 2l, n i H σni T j ξ l n i l H µ ni T j ξ + 2l log k. (9 n i Since µ( A i = 0 and {µ ni } converges to µ, we have l lim i l H µ ni T j ξ = l l H µ T j ξ. This together with (9 gives lim sup i Meanwhile by Lemma 2.3, n i H σni lim sup i n i T j ξ l l H µ T j ξ. n i log f ni dσ ni F (µ. Combining these two inequalities with (8 yields ( l l H µ T i ξ + F (µ P (T, F, ɛ. ( l Since H µ T i ξ [0, + and P (T, F, ɛ, we have F (µ. Taking l + yields ( l h µ (T + F (µ h µ (T, ξ + F (µ = lim l l H µ T i ξ + F (µ P (T, F, ɛ. Step 3: P (T, F = if and only if F (µ = for all µ M(X, T. By step we have P (T, F F (µ for all µ M(X, T with F (µ, which shows the necessity. The sufficiency is implied by step 2 (since if P (T, F, then by step 2 there exists some µ with F (µ. This finishes the proof the theorem.

11 SUB-ADDITIVE POTENTIALS 4. Other definitions of topological pressures for sub-additive potentials. In this section, we first discuss the definitions of topological pressures given by Falconer [9] and Barreira []. Then we provide an equivalent definition via open covers, following the idea of Bowen used in his definition of topological entropy for non-compact sets. In [9], Falconer gave a definition of topological pressures on mixing repellers. Without loss of generality, we only consider one-sided sub-shifts of finite type rather than mixing repellers. Let (Σ A, σ be a one-sided sub-shift space over an alphabet {,..., m}, where m 2 (see [4]. As usual Σ A is endowed with the metric d(x, y = m n+ where x = (x k k=, y = (y k k= and n is the smallest of the k such that x k y k. For any admissible string I = i... i n of length n over the letters {,..., m}, denote [I] = {(x k Σ A : x j = i j for j n}. The [I] is called an n-cylinder in Σ A. Let F be a sub-additive sequence of functions on Σ A. In [9], Falconer defined the topological pressure of F by F P (σ, F = lim n n log F P n(σ, F and F P n (σ, F = [I] sup f n (x, x [I] where the summation is taken over the collection of all n-cylinders in Σ A. It is not so hard to see that in this special case, F P n (σ, F is identical to P n (σ, F, /m, and P n (σ, F, m k = F P n+k (σ, F for all k N. This implies F P (σ, F = P (σ, F. Now let us turn to Barreira s approach in defining pressures for sub-additive potentials via open covers. As in the previous sections, let T be a continuous map acting on a compact metric space (X, d. Let F = {log f n } n= be a sub-additive sequence of functions defined on X. Suppose that U is a finite open cover of the space X. Denote diam(u := max{diam(u : U U}. For n we denote by W n (U the collection of strings U = U... U n with U i U. For U W n (U we call the integer m(u = n the length of U and define X(U = U T U 2... T (n U n = { x X : T j x U j for j =,..., n }. We say that Γ n W n(u covers X if U Γ X(U = X. For each U W n(u, we write f(u = sup x X(U f n (x when X(U and f(u = otherwise. For s R, define M(T, s, F, U = lim n inf Γ n U Γ n e sm(u f(u, where the infimum is taken over all Γ n j n W j(u that cover X. Likewise, we define M(T, s, F, U = lim inf inf e sm(u f(u, n Γ n U Γ n M(T, s, F, U = lim sup inf e sm(u f(u, n Γ n U Γ n where the infimum is taken over all Γ n W n (U that cover X. Define P (T, F, U = inf{s : M(T, s, F, U = 0} = sup{s : M(T, s, F, U = + }, CP (T, F, U = inf{s : M(T, s, F, U = 0} = sup{s : M(T, s, F, U = + }, CP (T, F, U = inf{s : M(T, s, F, U = 0} = sup{s : M(T, s, F, U = + }.

12 2 CAO, FENG AND HUANG Define P (T, F = lim inf P (T, F, U, diam(u 0 CP (T, F = CP (T, F = lim inf CP (T, F, U, diam(u 0 lim inf CP (T, F, U. diam(u 0 Barreira named P (T, F the topological pressure, CP (T, F and CP (T, F the lower and upper topological pressures of F. In the following we prove Lemma 4.. For any finite open cover U of X, we have P (T, F, U = CP (T, F, U = CP (T, F, U. Proof. The lemma was first proved by Barreira (see [, Theorem.6] under an additional assumption that 0 < f n < Cf n+ for a constant C > 0. In the following we modify Barreira s argument to obtain the general result. Fix a finite open cover U of X. By the definitions we have immediately that P (T, F, U CP (T, F, U CP (T, F, U. Thus to prove the lemma it suffices to show P (T, F, U CP (T, F, U. To see this inequality we may assume P (T, F, U < +. Take any s R such that s > P (T, F, U. Then there exists a Γ n W n(u which covers X and N(Γ := U Γ e sm(u f(u <. Since X is compact, the Γ can be assumed to be finite. Define Γ n = {U... U n : U i Γ} and Γ = n Γn. Since F is sub-additive, we have and N(Γ := N(Γ n := U Γ n e sm(u f(u N(Γ n, U Γ e sm(u f(u N(Γ n < N(Γ. n= Define K = max{m(u : U Γ}. For any integer n 2K, define { k Λ n = U U 2... U k : U i Γ for i k, m(u i < n K i= } k m(u i. It is clear n K m(u < n for any U Λ n. Furthermore Λ n Γ and Λ n covers X. Now define Λ n = { UV : U Λ n, V W n m(u (U }. i=

13 SUB-ADDITIVE POTENTIALS 3 Then Λ n W n (U covers X. Observe that e sm(uv f(uv U Λ n,v W n m(u (U ( e sm(u f(u e sm(v f(v U Λ n V K j= Wj(U N(Γ <. V K j= Wj(U e sm(v f(v We have M(T, s, F, U <. Hence CP (T, F, U s. It follows CP (T, F, U P (T, F, U. This finishes the proof of the lemma. As a direct corollary, we have Corollary 4.2. P (T, F = CP (T, F = CP (T, F. Now we consider the connection between P (T, F and P (T, F. Lemma 4.3. P (T, F P (T, F. Proof. The following proof is a slightly modified version of the proof of Theorem 9.2 of [29]. For any open cover U of X, denote Q n (T, F, U = inf f(u. Γ U Γ where the infimum is taken over all Γ W n (U that cover X. It is clear that CP (T, F, U = lim sup n n log Q n(t, F, U. For any ɛ > 0, suppose U is an open cover of X with diam(u < ɛ. Let E be an (n, ɛ- separated subset of X with respect to T. Since no members of n T i U contains two elements of E we have x E f n(x Q n (T, F, U, therefore P n (T, F, ɛ Q n (T, F, U. Letting ɛ 0 we obtain P (T, F CP (T, F = P (T, F. We don t know whether the equality P (T, F = P (T, F always holds under the above general setting. However we can show the equality in several cases, see Propositions Proposition 4.4. Assume the topological entropy h(t < and the entropy map µ h µ (T is upper semi-continuous. Then P (T, F = P (T, F. Proof. We divide the proof into several small steps. Step. P (T, F sup{h µ (T + k log(f k + ɛdµ} for any ɛ > 0 and k N. Fix ɛ > 0 and k N. Define g(x = (f k (x + ɛ /k. Set G = {g n } n=, where g n (x = n g(t j x. Then by Walters variational principle (see ( and [29, Theorem 9.4], P (T, G = sup { } h µ (T + k log(f k + ɛdµ : µ M(X, T. Set C = max(, sup x X f (x. Then by Lemma 2.2, f n (x C 2k g n k (x C 2k ɛ k g n (x, x X, n N.

14 4 CAO, FENG AND HUANG It follows P (T, F P (T, G, and thus { } P (T, F sup h µ (T + k log(f k + ɛdµ, µ M(X, T. Step 2. For any k N, lim sup ɛ 0 = sup { h µ (T + { h µ (T + } k log(f k + ɛdµ, µ M(X, T }. k log f kdµ, µ M(X, T In this step, we will use the assumption h µ (T < and the entropy map is upper semi-continuous. Denote by A the value of the first limit. Then there exist a convergent sequence {µ n } in M(X, T, and {ɛ n } 0 such that lim n h µn (T equals a finite value (denoted by B and furthermore lim n k log(f k + ɛ n dµ n = A B. Let ν denote the limit of {µ n }. For any fixed ɛ > 0, lim n k log(f k + ɛ n dµ n lim n k log(f k + ɛdµ n. Therefore Letting ɛ 0, we obtain lim n k log(f k + ɛ n dµ n lim n k log(f k + ɛdν. k log(f k + ɛ n dµ n k log f kdν. On the other hand, h ν (T lim n h µn (T = B. The above two inequalities imply h ν (T + k log f kdν B + (A B = A. Thus the desired equality follows. Step 3. lim k sup{h µ (T + k log f kdµ, µ M(X, T } = sup{h µ (T +F (µ, µ M(X, T }. The direction is clear. To show the other direction, we will also use the assumption that h(t < and the entropy map is upper semi-continuous. We denote by A the value of the first limit. Then there exist {µ n } ν in M(X, T, and {k n } + such that lim n h µn (T equals a finite value (denoted by B and furthermore lim log f kn dµ n = A B. n k n Fix l N. Then by Lemma 2.2, for large n N we have and thus k n l (f kn (x l C 2l2 f l (T j x kn l 2l log C log f l (T i x log f kn (x +, x X. k n k n k n l

15 SUB-ADDITIVE POTENTIALS 5 Therefore 2l log C kn l + log f kn dµ n + log f l dµ n. k n k n k n l Taking n + yields A B l log f ldν. Then letting l + we obtain A B F (ν. Since the entropy map is upper semi-continuous, we have h ν (T lim n h µn (T = B. Thus A h ν (T + F (ν. This finishes the proof of step 3. Step 4. P (T, F = P (T, F. By Lemma 4.3 it suffices to prove P (T, F P (T, F. To see this, by step -3, we have P (T, F sup{h µ (T + F (µ : µ M(X, T }. Since h(t <, by Theorem. we have P (T, F = sup{h µ (T + F (µ : µ M(X, T }, from which P (T, F P (T, F follows. This finishes the proof of the proposition. Proposition 4.5. Assume the dynamical system (X, T satisfies the following doubling property: there exists a sequence {r n } N such that lim n log r n /n = 0, and for any n N, x X and ɛ > 0, the Bowen ball B n (x, ɛ := {y X : d(t i x, T i y < ɛ for i n } can be covered by at most r n many Bowen balls B n (y i, ɛ/2, i =,..., r n. Then P (T, F = P (T, F. Proof. For any open cover U of X, denote Q n (T, F, U = inf Γ f(u. where the infimum is taken over all Γ W n (U that cover X. It is easily checked that Q n+m (T, F, U Q n (T, F, UQ m (T, F, U. Thus we have U Γ P (T, F, U = CP (T, F, U = inf n n log Q n(t, F, U. In the following we show that for any n N and ɛ > 0, there exists an open cover U of X with diam(u ɛ such that Q n (T, F, U r 4 np n (T, F, ɛ. (0 Since lim n log r n /n = 0, the above inequality implies P (T, F P (T, F. By Lemma 4.3, we have P (T, F = P (T, F. To show (0, we choose an (n, ɛ-separated subset E of X with maximal cardinality. Then the family of Bowen balls {B n (x, ɛ : x E} covers X. For any x E, pick y(x Closure(B n (x, ɛ such that f n (y(x = sup f n (y. y B n(x,ɛ Define U = {B(T i x, ɛ : x E, i n }, where B(x, δ := {y X : d(x, y < δ}. Then U covers X and diam(u ɛ. Since we have X = B n (x, ɛ = x E n x E T i B(T i x, ɛ, Q n (T, F, U x E f n (y(x. (

16 6 CAO, FENG AND HUANG To prove (0 we first claim that for any x E there are at most rn 4 many x E such that d n (y(x, y(x ɛ. To show this, let x,..., x l be l many different points in E such that d n (y(x i, y(x ɛ for i l. Then B n (x, 4ɛ l i= B n(x i, ɛ. By the assumed doubling property, B n (x, 4ɛ can be covered by at most rn 4 many Bowen balls B n (z, ɛ/4 s. Since any B n (z, ɛ/4 intersects at most one of the Bowen balls B n (x i, ɛ/4, we obtain l rn. 4 Now we pick z E such that f n (y(z = max{f n (y(x : x E}. Then we get a set E by removing all those points x in E such that B n (y(z, y(x ɛ. If E, we pick z 2 E such that f n (y(z 2 = max{f n (y(x : x E }. Then we get a set E 2 by removing all those points x in E such that B n (y(z 2, y(x ɛ. Continuing this process (which will stop at some step p, we obtain an (n, ɛ-separated subset {y(z i : i p} and p i= f n (y(z i r 4 n f n (y(x. x E Combining it with ( yields (0. This finishes the proof. Proposition 4.6. Let (X, T be a dynamical system such that for any ɛ > 0, there exists a partition U = {U,..., U k } of X such that diam(u < ɛ and all U i are open. Then P (T, F = P (T, F. Proof. Assume U = {U,..., U k } is an open partition of X. Then all U i are both open and closed. Set γ = min d(u i, U j. i<j k Then γ > 0. For any 0 < δ < γ and l N, one has inf e sm(u f(u e sl P l (T, F, δ, Γ l U Γ l where the infimum is taken over all Γ l W l (U that cover X. This implies CP (T, F, U P (T, F, δ. Hence one has P (T, F, U = CP (T, F, U P (T, F, δ, moreover P (T, F, U P (T, F. Since the diameter of U can be arbitrarily small, we have P (T, F P (T, F. This finishes the proof. If we put some bounded distortion assumptions on F, then we can also show the equivalence of these two definitions. Proposition 4.7. Assume that F = {log f n } n= satisfies the following additional assumptions: (i f n (x > 0 for all x X and n N. (ii log γ n (F, U lim sup lim sup = 0, diam(u 0 n n where for any finite open cover U, γ n (F, U is defined by γ n (F, U = sup{f n (x/f n (y : x, y X(U for some U W n (U}. Then we have P (T, F = P (T, F. Proof. We take some arguments similar to that in the proof of Proposition 4.5. Under the above assumptions, instead of (0 we may show that for any finite open cover U of X and n N, Q n (T, F, U γ n (F, UP n (T, F, ɛ.

17 SUB-ADDITIVE POTENTIALS 7 To show this, as in the proof of Proposition 4.5, we have Q n (T, F, U f n (y(x γ n (F, U f n (x γ n (F, UP n (T, F, ɛ. (2 x E x E This finishes the proof. In the remaining part of this section, we will follow Bowen s idea in [3] to give an equivalent definition of topological pressure via open covers. Let (X, T be a compact dynamical system. Let C X denote the set of all finite Borel covers of X. Let F = {log f n } n= be a sub-additive potential. For any open cover U of X, we define Pn (T, F, U = min α C X, α n sup f n (x, T i U x A A α where α n T i U means that for each A α, there exists U W n (U such that A X(U. Furthermore define P (T, F, U = inf log Pn (T, F, U, n n and P (T, F = sup P (T, F, U. (3 U where U ranges over all open covers of X. Proposition 4.8. P (T, F = P (T, F. Proof. We divide the proof into several small parts: Step. P (T, F = lim diam(u 0 P (T, F, U. It comes from the fact that P (T, F, U P (T, F, V, whenever U and V are two open covers of X and diam(v is less than the Lebesgue number of U. Step 2. P (T, F, U = lim n n log Pn (T, F, U. It follows from the fact that Pn (T, F, U is sub-multiplicative, i.e, Pn+m(T, F, U Pn (T, F, UPm (T, F, U for all n, m N. To show this fact, observe that for any α, β C X with α n T i U and β m T i U, we have α T n β C X, α T n β n+m T i U, and furthermore sup f n+m (x sup f n (x sup f m (y. x C x A y B A α B β C α T n β Step 3. For any ɛ > 0, if U is an open cover of X with diam(u < ɛ, then P (T, F, U P (T, F, ɛ. To show this fact, it suffices to note that for any α C X with α n T i U and any (n, ɛ-separated set E of X, each e E is contained exactly in one element A α. Step 4. For any n N and ɛ > 0, there exists an open cover U of X such that diam(u ɛ and P n (T, F, ɛ Pn (T, F, U. To prove this statement, let n N and ɛ > 0. Pick x X with f n (x = sup x X f n (x, pick x 2 X\B n (x, ɛ such that f n (x 2 = sup x X\Bn(x,ɛ f n (x, pick x 3 X\ 2 i= B n(x i, ɛ such that f n (x 3 = sup x X\ 2 i= Bn(xi,ɛ f n(x, and so on. We obtain an (n, ɛ-separated set {x, x 2,, x l } of maximal cardinality. Let α be the partition { B n (x, ɛ, B n (x 2, ɛ\b n (x, ɛ, B n (x 3, ɛ } 2 B n (x i, ɛ,.... i=

18 8 CAO, FENG AND HUANG Then A α sup x A f n (x = l i= f n(x i P n (T, F, ɛ. Let U = {B(T j x i, ɛ : 0 j n, i l}. We have diam(u ɛ, α n T i U and P n (T, F, ɛ Pn (T, F, U. By the statements in step and step 3, we have P (T, F P (T, F. Whilst by the statements in step 2 and step 4, for any ɛ > 0, there exists an open cover U with diameter not exceeding ɛ such that P (T, F, U P (T, F, ɛ. This fact, together with the result in step, gives P (T, F P (T, F when we let ɛ go to 0. This finishes the proof of the proposition. Acknowledgement The authors thank Prof. Yingfei Yi for some helpful discussions. They thank Prof. Ka-Sing Lau for bringing us an early version of the reference [22]. Cao was partially supported by NSFC(05730, NCET and SRFDP of China; Feng was also partially supported by the RGC grant and the direct grant in CUHK, Fok Ying Tong Education Foundation and NSFC( Huang was partially supported by NSFC( REFERENCES [] L. M. Barreira, A non-additive thermodynamic formalism and applications to dimension theory of hyperbolic dynamical systems. Ergodic Theory Dynam. Systems, 6 (996, [2] L. Barreira, Nonadditive thermodynamic formalism: equilibrium and Gibbs measures. Discrete Contin. Dyn. Syst., 6 (2006, [3] R. Bowen, Topological entropy for noncompact sets. Trans. Amer. Math. Soc., 84 (973, [4] R. Bowen, Equilibrium states and the ergodic theory of Anosov diffeomorphisms. Lecture notes in Math. No. 470, Springer-Verlag, 975. [5] R. Bowen, Hausdorff dimension of quasicircles. Inst. Hautes Études Sci. Publ. Math., No. 50, (979, 25. [6] I. Daubechies and J.C. Lagarias, Two-scale difference equations. I. Existence and global regularity of solutions. SIAM J. Math. Anal., 22 (99, [7] I. Daubechies and J.C. Lagarias, Two-scale difference equations. II. Local regularity, infinite products of matrices and fractals. SIAM J. Math. Anal., 23 (992, [8] I. Daubechies and J.C. Lagarias, On the thermodynamic formalism for multifractal functions. The state of matter (Copenhagen, 992, , Adv. Ser. Math. Phys., 20, World Sci. Publishing, River Edge, NJ, 994. [9] K.J. Falconer, A subadditive thermodynamic formalism for mixing repellers. J. Phys. A, 2 (988, no. 4, L737 L742. [0] K.J. Falconer, The Hausdorff dimension of self-affine fractals. Math. Proc. Cambridge Philos. Soc., 03 (988, [] K.J. Falconer, Fractal geometry. Mathematical foundations and applications. John Wiley & Sons, Chichester, 990. [2] D.J. Feng, Smoothness of the L q -spectrum of self-similar measures with overlaps. J. London Math. Soc., 68 (2003, [3] D.J. Feng, Lyapunov exponent for products of matrices and multifractal analysis. Part I: Positive matrices. Israel J. Math., 38 (2003, [4] D.J. Feng, The variational principle for products of non-negative matrices. Nonlinearity, 7 ( [5] D.J. Feng, The limited Rademacher functions and Bernoulli convolutions associated with Pisot numbers. Adv. Math., 95 (2005, [6] D.J. Feng and K.S. Lau, The pressure function for products of non-negative matrices, Math. Res. Lett., 9 (2002, [7] A. Käenmäki, On natural invariant measures on generalised iterated function systems. Ann. Acad. Sci. Fenn. Math., 29 (2004, [8] G. Keller, Equilibrium states in ergodic theory. Cambridge University Press, 998. [9] S. P. Lalley, Random series in powers of algebraic integers: Hausdorff dimension of the limit distribution. J. London Math. Soc., 57 (998,

19 SUB-ADDITIVE POTENTIALS 9 [20] K.S. Lau, Multifractal structure and product of matrices. Analysis in Theory and Applications, 9 ( [2] M. Misiurewicz, A short proof of the variational principle for a Z N + action on a compact space. Asterisque, 40 (976, [22] A. Mummert, The thermodynamic formalism for almost-additive sequences. Discrete Contin. Dyn. Syst., 6 (2006, [23] Ya. B. Pesin, Dimension theory in dynamical systems. Contemporary views and applications. University of Chicago Press, 997. [24] Ya. B. Pesin and B. S. Pitskel, Topological pressure and the variational principle for noncompact sets. Functional Anal. Appl., 8 (984, [25] D. Ruelle, Statistical mechanics on a compact set with Z v action satisfying expansiveness and specification. Trans. Amer. Math. Soc., 87 (973, [26] D. Ruelle, Thermodynamic formalism. The mathematical structures of classical equilibrium statistical mechanics. Encyclopedia of Mathematics and its Applications, 5. Addison-Wesley Publishing Co., Reading, Mass., 978. [27] D. Ruelle, Repellers for real analytic maps. Ergodic Theory Dynamical Systems, 2 (982, [28] P. Walters, A variational principle for the pressure of continuous transformations. Amer. J. Math., 97 (975, [29] P. Walters, An introduction to ergodic theory. Springer-Verlag, 982. [30] M. Zinsmeister, Thermodynamic formalism and holomorphic dynamical systems. Translated from the 996 French original by C. Greg Anderson. American Mathematical Society, Providence, RI; Société Mathématique de France, Paris, address: ylcao@suda.edu.cn; djfeng@math.cuhk.edu.hk; wenh@mail.ustc.edu.cn

Nonadditive Measure-theoretic Pressure and Applications to Dimensions of an Ergodic Measure

Nonadditive Measure-theoretic Pressure and Applications to Dimensions of an Ergodic Measure Nonadditive Measure-theoretic Pressure and Applications to Dimensions of an Ergodic Measure Yongluo Cao, Huyi Hu and Yun Zhao, Department of Mathematics, Soochow University, Suzhou 25006, Jiangsu, P.R.China

More information

The dimensions of non-conformal repeller and average conformal repeller

The dimensions of non-conformal repeller and average conformal repeller The dimensions of non-conformal repeller and average conformal repeller Jungchao Ban Department of mathematics, National Hualien University of Education Hualien 97003, Taiwan, jcban@mail.nhlue.edu.tw Yongluo

More information

To appear in Monatsh. Math. WHEN IS THE UNION OF TWO UNIT INTERVALS A SELF-SIMILAR SET SATISFYING THE OPEN SET CONDITION? 1.

To appear in Monatsh. Math. WHEN IS THE UNION OF TWO UNIT INTERVALS A SELF-SIMILAR SET SATISFYING THE OPEN SET CONDITION? 1. To appear in Monatsh. Math. WHEN IS THE UNION OF TWO UNIT INTERVALS A SELF-SIMILAR SET SATISFYING THE OPEN SET CONDITION? DE-JUN FENG, SU HUA, AND YUAN JI Abstract. Let U λ be the union of two unit intervals

More information

A NOTE ON CORRELATION AND LOCAL DIMENSIONS

A NOTE ON CORRELATION AND LOCAL DIMENSIONS A NOTE ON CORRELATION AND LOCAL DIMENSIONS JIAOJIAO YANG, ANTTI KÄENMÄKI, AND MIN WU Abstract Under very mild assumptions, we give formulas for the correlation and local dimensions of measures on the limit

More information

Entropy for zero-temperature limits of Gibbs-equilibrium states for countable-alphabet subshifts of finite type

Entropy for zero-temperature limits of Gibbs-equilibrium states for countable-alphabet subshifts of finite type Entropy for zero-temperature limits of Gibbs-equilibrium states for countable-alphabet subshifts of finite type I. D. Morris August 22, 2006 Abstract Let Σ A be a finitely primitive subshift of finite

More information

VARIATIONAL PRINCIPLE FOR THE ENTROPY

VARIATIONAL PRINCIPLE FOR THE ENTROPY VARIATIONAL PRINCIPLE FOR THE ENTROPY LUCIAN RADU. Metric entropy Let (X, B, µ a measure space and I a countable family of indices. Definition. We say that ξ = {C i : i I} B is a measurable partition if:

More information

ON THE DEFINITION OF RELATIVE PRESSURE FOR FACTOR MAPS ON SHIFTS OF FINITE TYPE. 1. Introduction

ON THE DEFINITION OF RELATIVE PRESSURE FOR FACTOR MAPS ON SHIFTS OF FINITE TYPE. 1. Introduction ON THE DEFINITION OF RELATIVE PRESSURE FOR FACTOR MAPS ON SHIFTS OF FINITE TYPE KARL PETERSEN AND SUJIN SHIN Abstract. We show that two natural definitions of the relative pressure function for a locally

More information

DE-JUN FENG AND WEN HUANG

DE-JUN FENG AND WEN HUANG VARIATIONAL PRINCIPLES FOR TOPOLOGICAL ENTROPIES OF SUBSETS DE-JUN FENG AND WEN HUANG Abstract. Let (X, T ) be a topological dynamical system. We define the measuretheoretical lower and upper entropies

More information

arxiv: v2 [math.fa] 27 Sep 2016

arxiv: v2 [math.fa] 27 Sep 2016 Decomposition of Integral Self-Affine Multi-Tiles Xiaoye Fu and Jean-Pierre Gabardo arxiv:43.335v2 [math.fa] 27 Sep 26 Abstract. In this paper we propose a method to decompose an integral self-affine Z

More information

Introduction to Hausdorff Measure and Dimension

Introduction to Hausdorff Measure and Dimension Introduction to Hausdorff Measure and Dimension Dynamics Learning Seminar, Liverpool) Poj Lertchoosakul 28 September 2012 1 Definition of Hausdorff Measure and Dimension Let X, d) be a metric space, let

More information

THE SET OF RECURRENT POINTS OF A CONTINUOUS SELF-MAP ON AN INTERVAL AND STRONG CHAOS

THE SET OF RECURRENT POINTS OF A CONTINUOUS SELF-MAP ON AN INTERVAL AND STRONG CHAOS J. Appl. Math. & Computing Vol. 4(2004), No. - 2, pp. 277-288 THE SET OF RECURRENT POINTS OF A CONTINUOUS SELF-MAP ON AN INTERVAL AND STRONG CHAOS LIDONG WANG, GONGFU LIAO, ZHENYAN CHU AND XIAODONG DUAN

More information

ON THE STRUCTURES OF GENERATING ITERATED FUNCTION SYSTEMS OF CANTOR SETS

ON THE STRUCTURES OF GENERATING ITERATED FUNCTION SYSTEMS OF CANTOR SETS ON THE STRUCTURES OF GENERATING ITERATED FUNCTION SYSTEMS OF CANTOR SETS DE-JUN FENG AND YANG WANG Abstract. A generating IFS of a Cantor set F is an IFS whose attractor is F. For a given Cantor set such

More information

Yuqing Chen, Yeol Je Cho, and Li Yang

Yuqing Chen, Yeol Je Cho, and Li Yang Bull. Korean Math. Soc. 39 (2002), No. 4, pp. 535 541 NOTE ON THE RESULTS WITH LOWER SEMI-CONTINUITY Yuqing Chen, Yeol Je Cho, and Li Yang Abstract. In this paper, we introduce the concept of lower semicontinuous

More information

SYMBOLIC DYNAMICS FOR HYPERBOLIC SYSTEMS. 1. Introduction (30min) We want to find simple models for uniformly hyperbolic systems, such as for:

SYMBOLIC DYNAMICS FOR HYPERBOLIC SYSTEMS. 1. Introduction (30min) We want to find simple models for uniformly hyperbolic systems, such as for: SYMBOLIC DYNAMICS FOR HYPERBOLIC SYSTEMS YURI LIMA 1. Introduction (30min) We want to find simple models for uniformly hyperbolic systems, such as for: [ ] 2 1 Hyperbolic toral automorphisms, e.g. f A

More information

Zero Temperature Limits of Gibbs-Equilibrium States for Countable Alphabet Subshifts of Finite Type

Zero Temperature Limits of Gibbs-Equilibrium States for Countable Alphabet Subshifts of Finite Type Journal of Statistical Physics, Vol. 119, Nos. 3/4, May 2005 ( 2005) DOI: 10.1007/s10955-005-3035-z Zero Temperature Limits of Gibbs-Equilibrium States for Countable Alphabet Subshifts of Finite Type O.

More information

Dimension of stablesets and scrambled sets in positive finite entropy systems

Dimension of stablesets and scrambled sets in positive finite entropy systems University of Massachusetts Amherst From the SelectedWorks of Pengfei Zhang 202 Dimension of stablesets and scrambled sets in positive finite entropy systems Pengfei Zhang Available at: https://works.bepress.com/pengfei_zhang/5/

More information

Multifractal analysis of Bernoulli convolutions associated with Salem numbers

Multifractal analysis of Bernoulli convolutions associated with Salem numbers Multifractal analysis of Bernoulli convolutions associated with Salem numbers De-Jun Feng The Chinese University of Hong Kong Fractals and Related Fields II, Porquerolles - France, June 13th-17th 2011

More information

functions as above. There is a unique non-empty compact set, i=1

functions as above. There is a unique non-empty compact set, i=1 1 Iterated function systems Many of the well known examples of fractals, including the middle third Cantor sets, the Siepiński gasket and certain Julia sets, can be defined as attractors of iterated function

More information

Correlation dimension for self-similar Cantor sets with overlaps

Correlation dimension for self-similar Cantor sets with overlaps F U N D A M E N T A MATHEMATICAE 155 (1998) Correlation dimension for self-similar Cantor sets with overlaps by Károly S i m o n (Miskolc) and Boris S o l o m y a k (Seattle, Wash.) Abstract. We consider

More information

IRRATIONAL ROTATION OF THE CIRCLE AND THE BINARY ODOMETER ARE FINITARILY ORBIT EQUIVALENT

IRRATIONAL ROTATION OF THE CIRCLE AND THE BINARY ODOMETER ARE FINITARILY ORBIT EQUIVALENT IRRATIONAL ROTATION OF THE CIRCLE AND THE BINARY ODOMETER ARE FINITARILY ORBIT EQUIVALENT MRINAL KANTI ROYCHOWDHURY Abstract. Two invertible dynamical systems (X, A, µ, T ) and (Y, B, ν, S) where X, Y

More information

HAIYUN ZHOU, RAVI P. AGARWAL, YEOL JE CHO, AND YONG SOO KIM

HAIYUN ZHOU, RAVI P. AGARWAL, YEOL JE CHO, AND YONG SOO KIM Georgian Mathematical Journal Volume 9 (2002), Number 3, 591 600 NONEXPANSIVE MAPPINGS AND ITERATIVE METHODS IN UNIFORMLY CONVEX BANACH SPACES HAIYUN ZHOU, RAVI P. AGARWAL, YEOL JE CHO, AND YONG SOO KIM

More information

EXISTENCE OF CONJUGACIES AND STABLE MANIFOLDS VIA SUSPENSIONS

EXISTENCE OF CONJUGACIES AND STABLE MANIFOLDS VIA SUSPENSIONS Electronic Journal of Differential Equations, Vol. 2017 (2017), No. 172, pp. 1 11. ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu EXISTENCE OF CONJUGACIES AND STABLE MANIFOLDS

More information

A Nonlinear Transfer Operator Theorem

A Nonlinear Transfer Operator Theorem J Stat Phys 207) 66:56 524 DOI 0.007/s0955-06-646- A Nonlinear Transfer Operator Theorem Mark Pollicott Received: 22 June 206 / Accepted: 8 October 206 / Published online: 9 November 206 The Authors) 206.

More information

TOPOLOGICAL ENTROPY FOR DIFFERENTIABLE MAPS OF INTERVALS

TOPOLOGICAL ENTROPY FOR DIFFERENTIABLE MAPS OF INTERVALS Chung, Y-.M. Osaka J. Math. 38 (200), 2 TOPOLOGICAL ENTROPY FOR DIFFERENTIABLE MAPS OF INTERVALS YONG MOO CHUNG (Received February 9, 998) Let Á be a compact interval of the real line. For a continuous

More information

A non-uniform Bowen s equation and connections to multifractal analysis

A non-uniform Bowen s equation and connections to multifractal analysis A non-uniform Bowen s equation and connections to multifractal analysis Vaughn Climenhaga Penn State November 1, 2009 1 Introduction and classical results Hausdorff dimension via local dimensional characteristics

More information

BOWEN S ENTROPY-CONJUGACY CONJECTURE IS TRUE UP TO FINITE INDEX

BOWEN S ENTROPY-CONJUGACY CONJECTURE IS TRUE UP TO FINITE INDEX BOWEN S ENTROPY-CONJUGACY CONJECTURE IS TRUE UP TO FINITE INDEX MIKE BOYLE, JÉRÔME BUZZI, AND KEVIN MCGOFF Abstract. For a topological dynamical system (X, f), consisting of a continuous map f : X X, and

More information

The small ball property in Banach spaces (quantitative results)

The small ball property in Banach spaces (quantitative results) The small ball property in Banach spaces (quantitative results) Ehrhard Behrends Abstract A metric space (M, d) is said to have the small ball property (sbp) if for every ε 0 > 0 there exists a sequence

More information

ON HYPERBOLIC MEASURES AND PERIODIC ORBITS

ON HYPERBOLIC MEASURES AND PERIODIC ORBITS ON HYPERBOLIC MEASURES AND PERIODIC ORBITS ILIE UGARCOVICI Dedicated to Anatole Katok on the occasion of his 60th birthday Abstract. We prove that if a diffeomorphism on a compact manifold preserves a

More information

FAT AND THIN SETS FOR DOUBLING MEASURES IN EUCLIDEAN SPACE

FAT AND THIN SETS FOR DOUBLING MEASURES IN EUCLIDEAN SPACE Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 38, 2013, 535 546 FAT AND THIN SETS FOR DOUBLING MEASURES IN EUCLIDEAN SPACE Wen Wang, Shengyou Wen and Zhi-Ying Wen Yunnan University, Department

More information

This is the author s version of a work that was submitted/accepted for publication in the following source:

This is the author s version of a work that was submitted/accepted for publication in the following source: This is the author s version of a work that was submitted/accepted for publication in the following source: Yu, Zu-Guo (2004) Fourier Transform and Mean Quadratic Variation of Bernoulli Convolution on

More information

POINTWISE DIMENSION AND ERGODIC DECOMPOSITIONS

POINTWISE DIMENSION AND ERGODIC DECOMPOSITIONS POINTWISE DIMENSION AND ERGODIC DECOMPOSITIONS LUIS BARREIRA AND CHRISTIAN WOLF Abstract. We study the Hausdorff dimension and the pointwise dimension of measures that are not necessarily ergodic. In particular,

More information

PACKING-DIMENSION PROFILES AND FRACTIONAL BROWNIAN MOTION

PACKING-DIMENSION PROFILES AND FRACTIONAL BROWNIAN MOTION PACKING-DIMENSION PROFILES AND FRACTIONAL BROWNIAN MOTION DAVAR KHOSHNEVISAN AND YIMIN XIAO Abstract. In order to compute the packing dimension of orthogonal projections Falconer and Howroyd 997) introduced

More information

On John type ellipsoids

On John type ellipsoids On John type ellipsoids B. Klartag Tel Aviv University Abstract Given an arbitrary convex symmetric body K R n, we construct a natural and non-trivial continuous map u K which associates ellipsoids to

More information

Packing-Dimension Profiles and Fractional Brownian Motion

Packing-Dimension Profiles and Fractional Brownian Motion Under consideration for publication in Math. Proc. Camb. Phil. Soc. 1 Packing-Dimension Profiles and Fractional Brownian Motion By DAVAR KHOSHNEVISAN Department of Mathematics, 155 S. 1400 E., JWB 233,

More information

Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures

Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon Measures 2 1 Borel Regular Measures We now state and prove an important regularity property of Borel regular outer measures: Stanford Mathematics Department Math 205A Lecture Supplement #4 Borel Regular & Radon

More information

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9 MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended

More information

CHAPTER 9. Embedding theorems

CHAPTER 9. Embedding theorems CHAPTER 9 Embedding theorems In this chapter we will describe a general method for attacking embedding problems. We will establish several results but, as the main final result, we state here the following:

More information

INTRODUCTION TO FURSTENBERG S 2 3 CONJECTURE

INTRODUCTION TO FURSTENBERG S 2 3 CONJECTURE INTRODUCTION TO FURSTENBERG S 2 3 CONJECTURE BEN CALL Abstract. In this paper, we introduce the rudiments of ergodic theory and entropy necessary to study Rudolph s partial solution to the 2 3 problem

More information

The Hopf argument. Yves Coudene. IRMAR, Université Rennes 1, campus beaulieu, bat Rennes cedex, France

The Hopf argument. Yves Coudene. IRMAR, Université Rennes 1, campus beaulieu, bat Rennes cedex, France The Hopf argument Yves Coudene IRMAR, Université Rennes, campus beaulieu, bat.23 35042 Rennes cedex, France yves.coudene@univ-rennes.fr slightly updated from the published version in Journal of Modern

More information

AW -Convergence and Well-Posedness of Non Convex Functions

AW -Convergence and Well-Posedness of Non Convex Functions Journal of Convex Analysis Volume 10 (2003), No. 2, 351 364 AW -Convergence Well-Posedness of Non Convex Functions Silvia Villa DIMA, Università di Genova, Via Dodecaneso 35, 16146 Genova, Italy villa@dima.unige.it

More information

MATHS 730 FC Lecture Notes March 5, Introduction

MATHS 730 FC Lecture Notes March 5, Introduction 1 INTRODUCTION MATHS 730 FC Lecture Notes March 5, 2014 1 Introduction Definition. If A, B are sets and there exists a bijection A B, they have the same cardinality, which we write as A, #A. If there exists

More information

l(y j ) = 0 for all y j (1)

l(y j ) = 0 for all y j (1) Problem 1. The closed linear span of a subset {y j } of a normed vector space is defined as the intersection of all closed subspaces containing all y j and thus the smallest such subspace. 1 Show that

More information

PACKING DIMENSIONS, TRANSVERSAL MAPPINGS AND GEODESIC FLOWS

PACKING DIMENSIONS, TRANSVERSAL MAPPINGS AND GEODESIC FLOWS Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 29, 2004, 489 500 PACKING DIMENSIONS, TRANSVERSAL MAPPINGS AND GEODESIC FLOWS Mika Leikas University of Jyväskylä, Department of Mathematics and

More information

The Lebesgue Integral

The Lebesgue Integral The Lebesgue Integral Brent Nelson In these notes we give an introduction to the Lebesgue integral, assuming only a knowledge of metric spaces and the iemann integral. For more details see [1, Chapters

More information

VARIATIONAL PRINCIPLES AND MIXED MULTIFRACTAL SPECTRA

VARIATIONAL PRINCIPLES AND MIXED MULTIFRACTAL SPECTRA To appear in Transactions of the American Mathematical Society. VARIATIONAL PRINCIPLES AND MIED MULTIFRACTAL SPECTRA L. BARREIRA AND B. SAUSSOL Abstract. We establish a conditional variational principle,

More information

LARGE DEVIATIONS OF TYPICAL LINEAR FUNCTIONALS ON A CONVEX BODY WITH UNCONDITIONAL BASIS. S. G. Bobkov and F. L. Nazarov. September 25, 2011

LARGE DEVIATIONS OF TYPICAL LINEAR FUNCTIONALS ON A CONVEX BODY WITH UNCONDITIONAL BASIS. S. G. Bobkov and F. L. Nazarov. September 25, 2011 LARGE DEVIATIONS OF TYPICAL LINEAR FUNCTIONALS ON A CONVEX BODY WITH UNCONDITIONAL BASIS S. G. Bobkov and F. L. Nazarov September 25, 20 Abstract We study large deviations of linear functionals on an isotropic

More information

THE MEASURE-THEORETIC ENTROPY OF LINEAR CELLULAR AUTOMATA WITH RESPECT TO A MARKOV MEASURE. 1. Introduction

THE MEASURE-THEORETIC ENTROPY OF LINEAR CELLULAR AUTOMATA WITH RESPECT TO A MARKOV MEASURE. 1. Introduction THE MEASURE-THEORETIC ENTROPY OF LINEAR CELLULAR AUTOMATA WITH RESPECT TO A MARKOV MEASURE HASAN AKIN Abstract. The purpose of this short paper is to compute the measure-theoretic entropy of the onedimensional

More information

SETS OF NON-TYPICAL POINTS HAVE FULL TOPOLOGICAL ENTROPY AND FULL HAUSDORFF DIMENSION

SETS OF NON-TYPICAL POINTS HAVE FULL TOPOLOGICAL ENTROPY AND FULL HAUSDORFF DIMENSION Israel J. Math. 116 (2000), 29 70. SETS OF NON-TYPICAL POINTS HAVE FULL TOPOLOGICAL ENTROPY AND FULL HAUSDORFF DIMENSION LUIS BARREIRA AND JÖRG SCHMELING Abstract. For subshifts of finite type, conformal

More information

ABSOLUTE CONTINUITY OF FOLIATIONS

ABSOLUTE CONTINUITY OF FOLIATIONS ABSOLUTE CONTINUITY OF FOLIATIONS C. PUGH, M. VIANA, A. WILKINSON 1. Introduction In what follows, U is an open neighborhood in a compact Riemannian manifold M, and F is a local foliation of U. By this

More information

Measure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond

Measure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond Measure Theory on Topological Spaces Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond May 22, 2011 Contents 1 Introduction 2 1.1 The Riemann Integral........................................ 2 1.2 Measurable..............................................

More information

We denote the space of distributions on Ω by D ( Ω) 2.

We denote the space of distributions on Ω by D ( Ω) 2. Sep. 1 0, 008 Distributions Distributions are generalized functions. Some familiarity with the theory of distributions helps understanding of various function spaces which play important roles in the study

More information

MATH 117 LECTURE NOTES

MATH 117 LECTURE NOTES MATH 117 LECTURE NOTES XIN ZHOU Abstract. This is the set of lecture notes for Math 117 during Fall quarter of 2017 at UC Santa Barbara. The lectures follow closely the textbook [1]. Contents 1. The set

More information

Real Analysis Problems

Real Analysis Problems Real Analysis Problems Cristian E. Gutiérrez September 14, 29 1 1 CONTINUITY 1 Continuity Problem 1.1 Let r n be the sequence of rational numbers and Prove that f(x) = 1. f is continuous on the irrationals.

More information

Integration on Measure Spaces

Integration on Measure Spaces Chapter 3 Integration on Measure Spaces In this chapter we introduce the general notion of a measure on a space X, define the class of measurable functions, and define the integral, first on a class of

More information

Entropy production for a class of inverse SRB measures

Entropy production for a class of inverse SRB measures Entropy production for a class of inverse SRB measures Eugen Mihailescu and Mariusz Urbański Keywords: Inverse SRB measures, folded repellers, Anosov endomorphisms, entropy production. Abstract We study

More information

Lyapunov optimizing measures for C 1 expanding maps of the circle

Lyapunov optimizing measures for C 1 expanding maps of the circle Lyapunov optimizing measures for C 1 expanding maps of the circle Oliver Jenkinson and Ian D. Morris Abstract. For a generic C 1 expanding map of the circle, the Lyapunov maximizing measure is unique,

More information

Invariant measures for iterated function systems

Invariant measures for iterated function systems ANNALES POLONICI MATHEMATICI LXXV.1(2000) Invariant measures for iterated function systems by Tomasz Szarek (Katowice and Rzeszów) Abstract. A new criterion for the existence of an invariant distribution

More information

A VERY BRIEF REVIEW OF MEASURE THEORY

A VERY BRIEF REVIEW OF MEASURE THEORY A VERY BRIEF REVIEW OF MEASURE THEORY A brief philosophical discussion. Measure theory, as much as any branch of mathematics, is an area where it is important to be acquainted with the basic notions and

More information

EQUILIBRIUM STATES FOR FACTOR MAPS BETWEEN SUBSHIFTS

EQUILIBRIUM STATES FOR FACTOR MAPS BETWEEN SUBSHIFTS EQUILIBRIUM STATES FOR FACTOR MAPS BETWEEN SUBSHIFTS DE-JUN FENG Abstract. Let π : X Y be a factor map, where (X, σ X and (Y, σ Y are subshifts over finite alphabets. Assume that X satisfies weak specification.

More information

CONTINUITY OF SUBADDITIVE PRESSURE FOR SELF-AFFINE SETS

CONTINUITY OF SUBADDITIVE PRESSURE FOR SELF-AFFINE SETS RESEARCH Real Analysis Exchange Vol. 34(2), 2008/2009, pp. 1 16 Kenneth Falconer, Mathematical Institute, University of St Andrews, North Haugh, St Andrews KY16 9SS, Scotland. email: kjf@st-and.ac.uk Arron

More information

Rudiments of Ergodic Theory

Rudiments of Ergodic Theory Rudiments of Ergodic Theory Zefeng Chen September 24, 203 Abstract In this note we intend to present basic ergodic theory. We begin with the notion of a measure preserving transformation. We then define

More information

Metric Spaces and Topology

Metric Spaces and Topology Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies

More information

MATH MEASURE THEORY AND FOURIER ANALYSIS. Contents

MATH MEASURE THEORY AND FOURIER ANALYSIS. Contents MATH 3969 - MEASURE THEORY AND FOURIER ANALYSIS ANDREW TULLOCH Contents 1. Measure Theory 2 1.1. Properties of Measures 3 1.2. Constructing σ-algebras and measures 3 1.3. Properties of the Lebesgue measure

More information

TYPICAL BOREL MEASURES ON [0, 1] d SATISFY A MULTIFRACTAL FORMALISM

TYPICAL BOREL MEASURES ON [0, 1] d SATISFY A MULTIFRACTAL FORMALISM TYPICAL BOREL MEASURES ON [0, 1] d SATISFY A MULTIFRACTAL FORMALISM Abstract. In this article, we prove that in the Baire category sense, measures supported by the unit cube of R d typically satisfy a

More information

Entropy dimensions and a class of constructive examples

Entropy dimensions and a class of constructive examples Entropy dimensions and a class of constructive examples Sébastien Ferenczi Institut de Mathématiques de Luminy CNRS - UMR 6206 Case 907, 63 av. de Luminy F3288 Marseille Cedex 9 (France) and Fédération

More information

MARKOV PARTITIONS FOR HYPERBOLIC SETS

MARKOV PARTITIONS FOR HYPERBOLIC SETS MARKOV PARTITIONS FOR HYPERBOLIC SETS TODD FISHER, HIMAL RATHNAKUMARA Abstract. We show that if f is a diffeomorphism of a manifold to itself, Λ is a mixing (or transitive) hyperbolic set, and V is a neighborhood

More information

Chapter 1. Measure Spaces. 1.1 Algebras and σ algebras of sets Notation and preliminaries

Chapter 1. Measure Spaces. 1.1 Algebras and σ algebras of sets Notation and preliminaries Chapter 1 Measure Spaces 1.1 Algebras and σ algebras of sets 1.1.1 Notation and preliminaries We shall denote by X a nonempty set, by P(X) the set of all parts (i.e., subsets) of X, and by the empty set.

More information

Equilibrium States for Partially Hyperbolic Horseshoes

Equilibrium States for Partially Hyperbolic Horseshoes Equilibrium States for Partially Hyperbolic Horseshoes R. Leplaideur, K. Oliveira, and I. Rios August 25, 2009 Abstract We study ergodic properties of invariant measures for the partially hyperbolic horseshoes,

More information

THE STRUCTURE OF A RING OF FORMAL SERIES AMS Subject Classification : 13J05, 13J10.

THE STRUCTURE OF A RING OF FORMAL SERIES AMS Subject Classification : 13J05, 13J10. THE STRUCTURE OF A RING OF FORMAL SERIES GHIOCEL GROZA 1, AZEEM HAIDER 2 AND S. M. ALI KHAN 3 If K is a field, by means of a sequence S of elements of K is defined a K-algebra K S [[X]] of formal series

More information

Integral Jensen inequality

Integral Jensen inequality Integral Jensen inequality Let us consider a convex set R d, and a convex function f : (, + ]. For any x,..., x n and λ,..., λ n with n λ i =, we have () f( n λ ix i ) n λ if(x i ). For a R d, let δ a

More information

CHAPTER I THE RIESZ REPRESENTATION THEOREM

CHAPTER I THE RIESZ REPRESENTATION THEOREM CHAPTER I THE RIESZ REPRESENTATION THEOREM We begin our study by identifying certain special kinds of linear functionals on certain special vector spaces of functions. We describe these linear functionals

More information

Takens embedding theorem for infinite-dimensional dynamical systems

Takens embedding theorem for infinite-dimensional dynamical systems Takens embedding theorem for infinite-dimensional dynamical systems James C. Robinson Mathematics Institute, University of Warwick, Coventry, CV4 7AL, U.K. E-mail: jcr@maths.warwick.ac.uk Abstract. Takens

More information

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi Real Analysis Math 3AH Rudin, Chapter # Dominique Abdi.. If r is rational (r 0) and x is irrational, prove that r + x and rx are irrational. Solution. Assume the contrary, that r+x and rx are rational.

More information

THE HAUSDORFF DIMENSION OF MEASURES FOR. Thomas Jordan. Mark Pollicott. (Communicated by the associate editor name)

THE HAUSDORFF DIMENSION OF MEASURES FOR. Thomas Jordan. Mark Pollicott. (Communicated by the associate editor name) Manuscript submitted to Website: http://aimsciences.org AIMS Journals Volume 00, Number 0, Xxxx XXXX pp. 000 000 THE HAUSDORFF DIMENSION OF MEASURES FOR ITERATED FUNCTION SYSTEMS WHICH CONTRACT ON AVERAGE

More information

The Structure of C -algebras Associated with Hyperbolic Dynamical Systems

The Structure of C -algebras Associated with Hyperbolic Dynamical Systems The Structure of C -algebras Associated with Hyperbolic Dynamical Systems Ian F. Putnam* and Jack Spielberg** Dedicated to Marc Rieffel on the occasion of his sixtieth birthday. Abstract. We consider the

More information

THE CONLEY ATTRACTORS OF AN ITERATED FUNCTION SYSTEM

THE CONLEY ATTRACTORS OF AN ITERATED FUNCTION SYSTEM Bull. Aust. Math. Soc. 88 (2013), 267 279 doi:10.1017/s0004972713000348 THE CONLEY ATTRACTORS OF AN ITERATED FUNCTION SYSTEM MICHAEL F. BARNSLEY and ANDREW VINCE (Received 15 August 2012; accepted 21 February

More information

QUASI-LIPSCHITZ EQUIVALENCE OF SUBSETS OF AHLFORS DAVID REGULAR SETS

QUASI-LIPSCHITZ EQUIVALENCE OF SUBSETS OF AHLFORS DAVID REGULAR SETS Annales Academiæ Scientiarum Fennicæ Mathematica Volumen 39, 2014, 759 769 QUASI-LIPSCHITZ EQUIVALENCE OF SUBSETS OF AHLFORS DAVID REGULAR SETS Qiuli Guo, Hao Li and Qin Wang Zhejiang Wanli University,

More information

ITERATED FUNCTION SYSTEMS WITH CONTINUOUS PLACE DEPENDENT PROBABILITIES

ITERATED FUNCTION SYSTEMS WITH CONTINUOUS PLACE DEPENDENT PROBABILITIES UNIVERSITATIS IAGELLONICAE ACTA MATHEMATICA, FASCICULUS XL 2002 ITERATED FUNCTION SYSTEMS WITH CONTINUOUS PLACE DEPENDENT PROBABILITIES by Joanna Jaroszewska Abstract. We study the asymptotic behaviour

More information

INVARIANT MEASURES ON LOCALLY COMPACT GROUPS

INVARIANT MEASURES ON LOCALLY COMPACT GROUPS INVARIANT MEASURES ON LOCALLY COMPACT GROUPS JENS GERLACH CHRISTENSEN Abstract. This is a survey about invariant integration on locally compact groups and its uses. The existence of a left invariant regular

More information

Another Riesz Representation Theorem

Another Riesz Representation Theorem Another Riesz Representation Theorem In these notes we prove (one version of) a theorem known as the Riesz Representation Theorem. Some people also call it the Riesz Markov Theorem. It expresses positive

More information

4th Preparation Sheet - Solutions

4th Preparation Sheet - Solutions Prof. Dr. Rainer Dahlhaus Probability Theory Summer term 017 4th Preparation Sheet - Solutions Remark: Throughout the exercise sheet we use the two equivalent definitions of separability of a metric space

More information

UNIFORMLY DISTRIBUTED MEASURES IN EUCLIDEAN SPACES

UNIFORMLY DISTRIBUTED MEASURES IN EUCLIDEAN SPACES MATH. SCAND. 90 (2002), 152 160 UNIFORMLY DISTRIBUTED MEASURES IN EUCLIDEAN SPACES BERND KIRCHHEIM and DAVID PREISS For every complete metric space X there is, up to a constant multiple, at most one Borel

More information

II - REAL ANALYSIS. This property gives us a way to extend the notion of content to finite unions of rectangles: we define

II - REAL ANALYSIS. This property gives us a way to extend the notion of content to finite unions of rectangles: we define 1 Measures 1.1 Jordan content in R N II - REAL ANALYSIS Let I be an interval in R. Then its 1-content is defined as c 1 (I) := b a if I is bounded with endpoints a, b. If I is unbounded, we define c 1

More information

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm

Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify

More information

SHADOWING PROPERTY FOR INDUCED SET-VALUED DYNAMICAL SYSTEMS OF SOME EXPANSIVE MAPS

SHADOWING PROPERTY FOR INDUCED SET-VALUED DYNAMICAL SYSTEMS OF SOME EXPANSIVE MAPS Dynamic Systems and Applications 19 (2010) 405-414 SHADOWING PROPERTY FOR INDUCED SET-VALUED DYNAMICAL SYSTEMS OF SOME EXPANSIVE MAPS YUHU WU 1,2 AND XIAOPING XUE 1 1 Department of Mathematics, Harbin

More information

Lebesgue-Radon-Nikodym Theorem

Lebesgue-Radon-Nikodym Theorem Lebesgue-Radon-Nikodym Theorem Matt Rosenzweig 1 Lebesgue-Radon-Nikodym Theorem In what follows, (, A) will denote a measurable space. We begin with a review of signed measures. 1.1 Signed Measures Definition

More information

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure?

3 (Due ). Let A X consist of points (x, y) such that either x or y is a rational number. Is A measurable? What is its Lebesgue measure? MA 645-4A (Real Analysis), Dr. Chernov Homework assignment 1 (Due ). Show that the open disk x 2 + y 2 < 1 is a countable union of planar elementary sets. Show that the closed disk x 2 + y 2 1 is a countable

More information

Measure and integration

Measure and integration Chapter 5 Measure and integration In calculus you have learned how to calculate the size of different kinds of sets: the length of a curve, the area of a region or a surface, the volume or mass of a solid.

More information

Math212a1413 The Lebesgue integral.

Math212a1413 The Lebesgue integral. Math212a1413 The Lebesgue integral. October 28, 2014 Simple functions. In what follows, (X, F, m) is a space with a σ-field of sets, and m a measure on F. The purpose of today s lecture is to develop the

More information

NONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS

NONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS Fixed Point Theory, Volume 9, No. 1, 28, 3-16 http://www.math.ubbcluj.ro/ nodeacj/sfptcj.html NONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS GIOVANNI ANELLO Department of Mathematics University

More information

THEOREMS, ETC., FOR MATH 515

THEOREMS, ETC., FOR MATH 515 THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every

More information

Lebesgue Measure on R n

Lebesgue Measure on R n CHAPTER 2 Lebesgue Measure on R n Our goal is to construct a notion of the volume, or Lebesgue measure, of rather general subsets of R n that reduces to the usual volume of elementary geometrical sets

More information

FACTORS OF GIBBS MEASURES FOR FULL SHIFTS

FACTORS OF GIBBS MEASURES FOR FULL SHIFTS FACTORS OF GIBBS MEASURES FOR FULL SHIFTS M. POLLICOTT AND T. KEMPTON Abstract. We study the images of Gibbs measures under one block factor maps on full shifts, and the changes in the variations of the

More information

NOTES ON THE REGULARITY OF QUASICONFORMAL HOMEOMORPHISMS

NOTES ON THE REGULARITY OF QUASICONFORMAL HOMEOMORPHISMS NOTES ON THE REGULARITY OF QUASICONFORMAL HOMEOMORPHISMS CLARK BUTLER. Introduction The purpose of these notes is to give a self-contained proof of the following theorem, Theorem.. Let f : S n S n be a

More information

arxiv: v1 [math.ds] 12 Jul 2018

arxiv: v1 [math.ds] 12 Jul 2018 Dimension theoretical properties of generalized Baker s Transformations arxiv:1807.04853v1 [math.ds] 12 Jul 2018 J. Neunhäuserer Institut für Theoretische Physik, Technische Universität Clausthal. 1 Arnold-Sommerfeld-Str.

More information

INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS

INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS INDISTINGUISHABILITY OF ABSOLUTELY CONTINUOUS AND SINGULAR DISTRIBUTIONS STEVEN P. LALLEY AND ANDREW NOBEL Abstract. It is shown that there are no consistent decision rules for the hypothesis testing problem

More information

Math212a1411 Lebesgue measure.

Math212a1411 Lebesgue measure. Math212a1411 Lebesgue measure. October 14, 2014 Reminder No class this Thursday Today s lecture will be devoted to Lebesgue measure, a creation of Henri Lebesgue, in his thesis, one of the most famous

More information

MATH 51H Section 4. October 16, Recall what it means for a function between metric spaces to be continuous:

MATH 51H Section 4. October 16, Recall what it means for a function between metric spaces to be continuous: MATH 51H Section 4 October 16, 2015 1 Continuity Recall what it means for a function between metric spaces to be continuous: Definition. Let (X, d X ), (Y, d Y ) be metric spaces. A function f : X Y is

More information

L Enseignement Mathématique, t. 40 (1994), p AN ERGODIC ADDING MACHINE ON THE CANTOR SET. by Peter COLLAS and David KLEIN

L Enseignement Mathématique, t. 40 (1994), p AN ERGODIC ADDING MACHINE ON THE CANTOR SET. by Peter COLLAS and David KLEIN L Enseignement Mathématique, t. 40 (994), p. 249-266 AN ERGODIC ADDING MACHINE ON THE CANTOR SET by Peter COLLAS and David KLEIN ABSTRACT. We calculate all ergodic measures for a specific function F on

More information

Math 117: Topology of the Real Numbers

Math 117: Topology of the Real Numbers Math 117: Topology of the Real Numbers John Douglas Moore November 10, 2008 The goal of these notes is to highlight the most important topics presented in Chapter 3 of the text [1] and to provide a few

More information