Published January 2012 | Version v1
Journal article

Almost-additive thermodynamic formalism for countable Markov shifts

  • 1. Facultad de Matemáticas, Pontificia Universidad Católica de Chile (PUC), Avenida Vicuña Mackenna 4860, Santiago (Chile)
  • 2. Departamento de Ciencias Básicas, Campus Fernando May Avda. Andrés Bello S/N, Universidad del Bío-Bío, Chillán (Chile)

Description

This paper is devoted to extend the thermodynamic formalism theory to almost-additive sequences of continuous functions defined over topologically mixing, non-compact, countable Markov shifts. Difficulties are two fold, on the one hand we have to deal with the lack of compactness of the phase space and on the other with the non-additivity of the sequence potentials. In this context, based on the work of Sarig and also on the work of Barreira, we introduce a definition of pressure. We prove that it satisfies the variational principle and hence it is good definition. Under certain combinatorial assumptions on the shift space (that of being BIP) we prove the existence and uniqueness of Gibbs measures. Applications are given, among others, to the study of maximal Lypaunov exponents of product of matrices and to obtain a formula for the Hausdorff dimension of certain geometrical constructions

Availability note (English)

Available from http://dx.doi.org/10.1088/0951-7715/25/1/165

Additional details

Identifiers

DOI
10.1088/0951-7715/25/1/165;
PII
S0951-7715(12)02330-4;

Publishing Information

Journal Title
Nonlinearity (Print)
Journal Volume
25
Journal Issue
1
Journal Page Range
p. 165-191
ISSN
0951-7715

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45037790
Subject category
S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
Descriptors DEI
DIMENSIONS; LYAPUNOV METHOD; MARKOV PROCESS; MATHEMATICAL SOLUTIONS; MATRICES; PHASE SPACE; POTENTIALS; THERMODYNAMICS; TOPOLOGY; VARIATIONAL METHODS
Descriptors DEC
CALCULATION METHODS; MATHEMATICAL SPACE; MATHEMATICS; SPACE; STOCHASTIC PROCESSES