Random walks on a closed loop and spin glass relaxation

Dans cet article, nous présentons les Keywords: Random walk in random environment, Dirichlet distribution, Reinforced random walks, invariant measure viewed from the

This section is devoted to the proof of Theorem 1.13 – Central Limit Theorem of one-dimensional random walks on discrete point processes.. The basic observation of the proof is the

In Section 3 a sequence of random measures is associated with the random scenery and con- ditions to ensure its convergence to a stable, Gaussian or fractional Gaussian random noise

rium probability distribution obtained by fitting a canonical distri- bution to the data of 共a兲. 共c兲 Comparison between the exact equilib- rium population value and the canonical

Likewise here we consider the RFIM described by an effective hamiltonian with an externat field £h and perform the appropriate Legendre transform to the conjugate observable. Again

field) in dimension three thereby excluding a PARISI type of replica symmetry breaking in that dimension. This is also an underlying assumption in

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

Relaxation effects occur if in a system an extensive quantity (for instance a dielectric displacement or a mechanical strain) lags behind in phase compared to a