We consider Metropolis Markov chains with finite state space and transition probabilities of the form for given energy function H and symmetric Markov kernel q. We propose a simple approach to determine the asymptotic behavior, for large , of the first hitting time to the ground state starting from a particular class of local minima for H called metastable states. We separate the asymptotic behavior of the transition time from the determination of the tube of typical paths realizing the transition. This approach turns out to be useful when the determination of the tube of typical paths is too difficult, as for instance in the case of conservative dynamics. We analyze the structure of the saddles introducing the notion of essentiality and de...
We propose a new definition of metastability of Markov processes on countable state spaces. We obtai...
We propose a new definition of metastability of Markov processes on countable state spaces. We obtai...
We study the hitting times of Markov processes to target set $G$, starting from a reference configur...
We consider Metropolis Markov chains with finite state space and transition probabilities of the for...
We consider Metropolis Markov chains with finite state space and transition probabilities of the for...
We consider Metropolis Markov chains with finite state space and transition probabilities of the for...
We consider Metropolis Markov chains with finite state space and transition probabilities of the for...
We consider Metropolis Markov chains with finite state space and transition probabilities of the for...
Metastability is a physical phenomenon ubiquitous in first order phase transitions. A fruitful mathe...
Metastability is a physical phenomenon ubiquitous in first order phase transitions. A fruitful mathe...
Metastability is a physical phenomenon ubiquitous in first order phase transitions. A fruitful mathe...
Metastability is a physical phenomenon ubiquitous in first order phase transitions. A fruitful mathe...
Metastability is a physical phenomenon ubiquitous in first order phase transitions. A fruitful mathe...
Abstract. We present a formalism to describe slowly decaying systems in the context of finite Markov...
We study the hitting times of Markov processes to target set G, starting from a reference configurat...
We propose a new definition of metastability of Markov processes on countable state spaces. We obtai...
We propose a new definition of metastability of Markov processes on countable state spaces. We obtai...
We study the hitting times of Markov processes to target set $G$, starting from a reference configur...
We consider Metropolis Markov chains with finite state space and transition probabilities of the for...
We consider Metropolis Markov chains with finite state space and transition probabilities of the for...
We consider Metropolis Markov chains with finite state space and transition probabilities of the for...
We consider Metropolis Markov chains with finite state space and transition probabilities of the for...
We consider Metropolis Markov chains with finite state space and transition probabilities of the for...
Metastability is a physical phenomenon ubiquitous in first order phase transitions. A fruitful mathe...
Metastability is a physical phenomenon ubiquitous in first order phase transitions. A fruitful mathe...
Metastability is a physical phenomenon ubiquitous in first order phase transitions. A fruitful mathe...
Metastability is a physical phenomenon ubiquitous in first order phase transitions. A fruitful mathe...
Metastability is a physical phenomenon ubiquitous in first order phase transitions. A fruitful mathe...
Abstract. We present a formalism to describe slowly decaying systems in the context of finite Markov...
We study the hitting times of Markov processes to target set G, starting from a reference configurat...
We propose a new definition of metastability of Markov processes on countable state spaces. We obtai...
We propose a new definition of metastability of Markov processes on countable state spaces. We obtai...
We study the hitting times of Markov processes to target set $G$, starting from a reference configur...