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Semi-additive functionals and cocycles in the context of self-similarity

Vladas Pipiras, Murad S. Taqqu (2010)

Discussiones Mathematicae Probability and Statistics

Kernel functions of stable, self-similar mixed moving averages are known to be related to nonsingular flows. We identify and examine here a new functional occuring in this relation and study its properties. To prove its existence, we develop a general result about semi-additive functionals related to cocycles. The functional we identify, is helpful when solving for the kernel function generated by a flow. Its presence also sheds light on the previous results on the subject.

Semigroups generated by convex combinations of several Feller generators in models of mathematical biology

Adam Bobrowski, Radosław Bogucki (2008)

Studia Mathematica

Let be a locally compact Hausdorff space. Let A i , i = 0,1,...,N, be generators of Feller semigroups in C₀() with related Feller processes X i = X i ( t ) , t 0 and let α i , i = 0,...,N, be non-negative continuous functions on with i = 0 N α i = 1 . Assume that the closure A of k = 0 N α k A k defined on i = 0 N ( A i ) generates a Feller semigroup T(t), t ≥ 0 in C₀(). A natural interpretation of a related Feller process X = X(t), t ≥ 0 is that it evolves according to the following heuristic rules: conditional on being at a point p ∈ , with probability α i ( p ) , the process...

Semimartingale decomposition of convex functions of continuous semimartingales by brownian perturbation

Nastasiya F. Grinberg (2013)

ESAIM: Probability and Statistics

In this note we prove that the local martingale part of a convex function f of a d-dimensional semimartingale X = M + A can be written in terms of an Itô stochastic integral ∫H(X)dM, where H(x) is some particular measurable choice of subgradient ∇ f ( x ) off at x, and M is the martingale part of X. This result was first proved by Bouleau in [N. Bouleau, C. R. Acad. Sci. Paris Sér. I Math. 292 (1981) 87–90]. Here we present a new treatment of the problem. We first prove the result for X ˜ = X + ϵ B x10ff65;...

Smoothness for the collision local time of two multidimensional bifractional Brownian motions

Guangjun Shen, Litan Yan, Chao Chen (2012)

Czechoslovak Mathematical Journal

Let B H i , K i = { B t H i , K i , t 0 } , i = 1 , 2 be two independent, d -dimensional bifractional Brownian motions with respective indices H i ( 0 , 1 ) and K i ( 0 , 1 ] . Assume d 2 . One of the main motivations of this paper is to investigate smoothness of the collision local time T = 0 T δ ( B s H 1 , K 1 - B s H 2 , K 2 ) d s , T > 0 , where δ denotes the Dirac delta function. By an elementary method we show that T is smooth in the sense of Meyer-Watanabe if and only if min { H 1 K 1 , H 2 K 2 } < 1 / ( d + 2 ) .

Soft local times and decoupling of random interlacements

Serguei Popov, Augusto Teixeira (2015)

Journal of the European Mathematical Society

In this paper we establish a decoupling feature of the random interlacement process u d at level u , d 3 . Roughly speaking, we show that observations of u restricted to two disjoint subsets A 1 and A 2 of d are approximately independent, once we add a sprinkling to the process u by slightly increasing the parameter u . Our results differ from previous ones in that we allow the mutual distance between the sets A 1 and A 2 to be much smaller than their diameters. We then provide an important application of this...

Sojourn times.

Takács, Lajos (1996)

Journal of Applied Mathematics and Stochastic Analysis

Stationary distributions for jump processes with memory

K. Burdzy, T. Kulczycki, R. L. Schilling (2012)

Annales de l'I.H.P. Probabilités et statistiques

We analyze a jump processes Z with a jump measure determined by a “memory” process S . The state space of ( Z , S ) is the Cartesian product of the unit circle and the real line. We prove that the stationary distribution of ( Z , S ) is the product of the uniform probability measure and a Gaussian distribution.

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