Brownian motion in certain symmetric spaces and nonnegative eigenfunctions of the Laplace-Beltrami operator

Author(s):  
E. B. Dynkin
1993 ◽  
Vol 72 (1) ◽  
pp. 109-150 ◽  
Author(s):  
Michael Cowling ◽  
Saverio Giulini ◽  
Stefano Meda

Author(s):  
Huiling Le

We give a condition on Riemannian submersions from a Riemannian manifoldMto a Riemannian manifoldNwhich will ensure that it induces a differential operator onNfrom the Laplace-Beltrami operator onM. Equivalently, this condition ensures that a Riemannian submersion maps Brownian motion to a diffusion.


Author(s):  
Arno Kuijlaars

This article examines conceptual and structural issues related to supersymmetry. It first provides an overview of generating functions before discussing supermathematics, with a focus on Grassmann or anticommuting variables, vectors and matrices, groups and symmetric spaces, and derivatives and integrals. It then considers various applications of supersymmetry to random matrices, such as the representation of the ensemble average and the Hubbard–Stratonovich transformation, along with its generalization and superbosonization. It also describes matrix δ functions and an alternative representation as well as important and technically challenging problems that supersymmetry addresses beyond the invariant and factorizing ensembles. The article concludes with an analysis of the supersymmetric non-linear σ model, Brownian motion in superspace, circular ensembles and the Colour-Flavour-Transformation.


2001 ◽  
Vol 51 (4) ◽  
pp. 1047-1069 ◽  
Author(s):  
Michael Cowling ◽  
Saverio Giulini ◽  
Stefano Meda

2007 ◽  
Vol 44 (02) ◽  
pp. 393-408 ◽  
Author(s):  
Allan Sly

Multifractional Brownian motion is a Gaussian process which has changing scaling properties generated by varying the local Hölder exponent. We show that multifractional Brownian motion is very sensitive to changes in the selected Hölder exponent and has extreme changes in magnitude. We suggest an alternative stochastic process, called integrated fractional white noise, which retains the important local properties but avoids the undesirable oscillations in magnitude. We also show how the Hölder exponent can be estimated locally from discrete data in this model.


1986 ◽  
Vol 23 (04) ◽  
pp. 893-903 ◽  
Author(s):  
Michael L. Wenocur

Brownian motion subject to a quadratic killing rate and its connection with the Weibull distribution is analyzed. The distribution obtained for the process killing time significantly generalizes the Weibull. The derivation involves the use of the Karhunen–Loève expansion for Brownian motion, special function theory, and the calculus of residues.


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