A stochastic oscillatory integral is a probabilistic counterpart to a Feynman path integral, and the stationary phase method for stochastic oscillatory integrals relates to the semi-classical limits in the Feynman path integral theory. A complete stationary phase method for stochastic oscillatory integrals has not been achieved yet. In this paper, a new class of amplitude functions of stochastic oscillatory integrals is introduced, and it is shown that the stationary phase method works for the class
We present a novel phase–amplitude model for noisy oscillators described by Itˆo stochastic differen...
This volume contains lecture notes from the courses given by Vlad Bally and Rama Cont at the Barcelo...
This book gives the basis of the probabilistic functional analysis on Wiener space, developed during...
AbstractLet (W0, H0, μ0) be the 2-dimensional classical pinned Wiener space over [0, 1]. A localizat...
AbstractStochastic oscillatory integrals with quadratic phase function are studied in the case where...
AbstractA new complexification of a real abstract Wiener space will be introduced, and some analogs ...
Abstract. The configuration space and phase space oscillatory path integrals are computed in the cas...
Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on w...
The configuration space and phase space oscillatory path integrals are computed in the case of the ...
AbstractThe eigenvalues and eigenvectors of the Hilbert–Schmidt operators corresponding to the Wiene...
The main theme of this book is the "path integral technique" and its applications to constructive me...
A human brain contains billions of neurons. These are extremely complex dynamical systems that are a...
AbstractA general method for estimating E(exp(iNΦ)) for N → + ∞ is given using a stationary phase me...
International audienceThis volume contains lecture notes from the courses given by Vlad Bally and Ra...
We present a description in terms of phase and amplitude fluctuations for nonlinear oscillators subj...
We present a novel phase–amplitude model for noisy oscillators described by Itˆo stochastic differen...
This volume contains lecture notes from the courses given by Vlad Bally and Rama Cont at the Barcelo...
This book gives the basis of the probabilistic functional analysis on Wiener space, developed during...
AbstractLet (W0, H0, μ0) be the 2-dimensional classical pinned Wiener space over [0, 1]. A localizat...
AbstractStochastic oscillatory integrals with quadratic phase function are studied in the case where...
AbstractA new complexification of a real abstract Wiener space will be introduced, and some analogs ...
Abstract. The configuration space and phase space oscillatory path integrals are computed in the cas...
Stochastic analysis is the analysis of functionals defined on the Wiener space, i.e., the space on w...
The configuration space and phase space oscillatory path integrals are computed in the case of the ...
AbstractThe eigenvalues and eigenvectors of the Hilbert–Schmidt operators corresponding to the Wiene...
The main theme of this book is the "path integral technique" and its applications to constructive me...
A human brain contains billions of neurons. These are extremely complex dynamical systems that are a...
AbstractA general method for estimating E(exp(iNΦ)) for N → + ∞ is given using a stationary phase me...
International audienceThis volume contains lecture notes from the courses given by Vlad Bally and Ra...
We present a description in terms of phase and amplitude fluctuations for nonlinear oscillators subj...
We present a novel phase–amplitude model for noisy oscillators described by Itˆo stochastic differen...
This volume contains lecture notes from the courses given by Vlad Bally and Rama Cont at the Barcelo...
This book gives the basis of the probabilistic functional analysis on Wiener space, developed during...