One of the fundamental results of ergodic optimization asserts that for any dynamical system on a compact metric space with the specification property and for a generic continuous function $f$ every invariant probability measure that maximizes the space average of $f$ must have zero entropy. We establish the analogical result in the context of constraint ergodic optimization, which is introduced by Garibaldi and Lopes (2007)
Sejam X um espaço topológico não necessariamente compacto e T:X->X uma aplicação contínua. Se f:X->R...
We prove that for a generic real-valued Holder continuous function f on a subshift of finite type, e...
Abstract. We define a notion of entropy for an infinite family C of measurable sets in a probability...
International audienceIn the natural context of ergodic optimization, we provide a short proof of th...
Ergodic optimization is the study of problems relating to maximizing orbits and invariant measures, ...
One of the fundamental results of ergodic optimisation asserts that for any dynamical system on a c...
Given a real-valued continuous function f defined on the phase space of a dynamical system, an invar...
Let f be a real-valued function defined on the phase space of a dynamical system. Ergodic optimizati...
We consider maximizing orbits and maximizing measures for continuous maps T : X ! X and functions f...
Abstract. The purpose of this note is to initiate the study of ergodic optimization for general topo...
The main purpose of the ergodic optimization is to describe a max1m1zmg measures, which is an invari...
We study dynamical systems with approximate product property and asymptotic entropy expansiveness. W...
We construct ergodic probability measures with infinite metric entropy for typical continuous maps a...
AbstractFor strongly ergodic discrete time Markov chains we discuss the possible limits as n→∞ of pr...
International audienceConsider a continuous map f on a compact metric space X and any continuous rea...
Sejam X um espaço topológico não necessariamente compacto e T:X->X uma aplicação contínua. Se f:X->R...
We prove that for a generic real-valued Holder continuous function f on a subshift of finite type, e...
Abstract. We define a notion of entropy for an infinite family C of measurable sets in a probability...
International audienceIn the natural context of ergodic optimization, we provide a short proof of th...
Ergodic optimization is the study of problems relating to maximizing orbits and invariant measures, ...
One of the fundamental results of ergodic optimisation asserts that for any dynamical system on a c...
Given a real-valued continuous function f defined on the phase space of a dynamical system, an invar...
Let f be a real-valued function defined on the phase space of a dynamical system. Ergodic optimizati...
We consider maximizing orbits and maximizing measures for continuous maps T : X ! X and functions f...
Abstract. The purpose of this note is to initiate the study of ergodic optimization for general topo...
The main purpose of the ergodic optimization is to describe a max1m1zmg measures, which is an invari...
We study dynamical systems with approximate product property and asymptotic entropy expansiveness. W...
We construct ergodic probability measures with infinite metric entropy for typical continuous maps a...
AbstractFor strongly ergodic discrete time Markov chains we discuss the possible limits as n→∞ of pr...
International audienceConsider a continuous map f on a compact metric space X and any continuous rea...
Sejam X um espaço topológico não necessariamente compacto e T:X->X uma aplicação contínua. Se f:X->R...
We prove that for a generic real-valued Holder continuous function f on a subshift of finite type, e...
Abstract. We define a notion of entropy for an infinite family C of measurable sets in a probability...