The place of random processes and random fields in quantum theory
Giacomo Della Riccia, Takeyuki Hida (1966)
Annales de l'I.H.P. Physique théorique
Similarity:
Giacomo Della Riccia, Takeyuki Hida (1966)
Annales de l'I.H.P. Physique théorique
Similarity:
François Germinet (2007-2008)
Séminaire Équations aux dérivées partielles
Similarity:
In this review, we first recall a recent Bernoulli decomposition of any given non trivial real random variable. While our main motivation is a proof of universal occurence of Anderson localization in continuum random Schrödinger operators, we review other applications like Sperner theory of antichains, anticoncentration bounds of some functions of random variables, as well as singularity of random matrices.
Rozovskij, L.V. (2004)
Zapiski Nauchnykh Seminarov POMI
Similarity:
Sébastien Breteaux (2014)
Annales de l’institut Fourier
Similarity:
In this article the linear Boltzmann equation is derived for a particle interacting with a Gaussian random field, in the weak coupling limit, with renewal in time of the random field. The initial data can be chosen arbitrarily. The proof is geometric and involves coherent states and semi-classical calculus.
Leonid Pastur (1991-1992)
Séminaire Bourbaki
Similarity:
Rio Emmanuel (1997)
ESAIM: Probability and Statistics
Similarity:
Wei-Min Wang (1999)
Journées équations aux dérivées partielles
Similarity:
By using a supersymmetric gaussian representation, we transform the averaged Green's function for random walks in random potentials into a 2-point correlation function of a corresponding lattice field theory. We study the resulting lattice field theory using the Witten laplacian formulation. We obtain the asymptotics for the directional Lyapunov exponents.
Frédéric Klopp, Shu Nakamura (2007-2008)
Séminaire Équations aux dérivées partielles
Similarity:
In this talk, we describe some recent results on the Lifshitz behavior of the density of states for non monotonous random models. Non monotonous means that the random operator is not a monotonous function of the random variables. The models we consider will mainly be of alloy type but in some cases we also can apply our methods to random displacement models.
Czesław Stępniak (2015)
Discussiones Mathematicae Probability and Statistics
Similarity:
Correlation coefficient is a well known measure of (linear) dependence between random variables. In his textbook published in 1980 L.T. Kubik introduced an analogue of such measure for random events A and B and studied its basic properties. We reveal that this measure reduces to the usual correlation coefficient between the indicator functions of A and B. In consequence the resuts by Kubik are obtained and strenghted directly. This is essential because the textbook is recommended by...