Given a topological dynamical systems (Formula presented.), consider a sequence of continuous potentials (Formula presented.) that is asymptotically approached by sub-additive families. In a generalized version of ergodic optimization theory, one is interested in describing the set (Formula presented.) of (Formula presented.)-invariant probabilities that attain the following maximum value (Formula presented.) For this purpose, we extend the notion of Aubry set, denoted by (Formula presented.). Our central result provides sufficient conditions for the Aubry set to be a maximizing set, i.e. (Formula presented.) belongs to (Formula presented.) if, and only if, its support lies on (Formula presented.). Furthermore, we apply this result to the s...
We prove that any continuous and convex stationary ergodic Hamiltonian admits critical subsolutions,...
Z d-extensions of probability-preserving dynamical systems are themselves dynamical systems preservi...
AbstractLet ∑ be a set of n × n complex matrices. For m = 1, 2, …, let ∑m be the set of all products...
We propose a new model of ergodic optimization for expanding dynamical systems: the holonomic settin...
Abstract. The purpose of this note is to initiate the study of ergodic optimization for general topo...
Sub-actions can be interpreted as a concept which corresponds by duality to maximizing probabilities...
Abstract. For general asymptotically sub-additive potentials (resp. asymptotically ad-ditive potenti...
Dynamical systems with trajectories given by sequences of sets are studied. For this class of genera...
Ergodic theory studies measure-preserving transformations of measure spaces. These objects are intri...
Let f be a real-valued function defined on the phase space of a dynamical system. Ergodic optimizati...
Ergodic optimization is the study of problems relating to maximizing orbits and invariant measures, ...
The asymptotic behaviour of the solutions of a discrete linear dynamical system is related to the sp...
We consider maximizing orbits and maximizing measures for continuous maps T : X ! X and functions f...
This book focuses on the interpretation of ergodic optimal problems as questions of variational dyna...
that the generalized spectral radius of a finite set of matrices can be attained on a finite product...
We prove that any continuous and convex stationary ergodic Hamiltonian admits critical subsolutions,...
Z d-extensions of probability-preserving dynamical systems are themselves dynamical systems preservi...
AbstractLet ∑ be a set of n × n complex matrices. For m = 1, 2, …, let ∑m be the set of all products...
We propose a new model of ergodic optimization for expanding dynamical systems: the holonomic settin...
Abstract. The purpose of this note is to initiate the study of ergodic optimization for general topo...
Sub-actions can be interpreted as a concept which corresponds by duality to maximizing probabilities...
Abstract. For general asymptotically sub-additive potentials (resp. asymptotically ad-ditive potenti...
Dynamical systems with trajectories given by sequences of sets are studied. For this class of genera...
Ergodic theory studies measure-preserving transformations of measure spaces. These objects are intri...
Let f be a real-valued function defined on the phase space of a dynamical system. Ergodic optimizati...
Ergodic optimization is the study of problems relating to maximizing orbits and invariant measures, ...
The asymptotic behaviour of the solutions of a discrete linear dynamical system is related to the sp...
We consider maximizing orbits and maximizing measures for continuous maps T : X ! X and functions f...
This book focuses on the interpretation of ergodic optimal problems as questions of variational dyna...
that the generalized spectral radius of a finite set of matrices can be attained on a finite product...
We prove that any continuous and convex stationary ergodic Hamiltonian admits critical subsolutions,...
Z d-extensions of probability-preserving dynamical systems are themselves dynamical systems preservi...
AbstractLet ∑ be a set of n × n complex matrices. For m = 1, 2, …, let ∑m be the set of all products...