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A new class of relativistic diffusions encompassing all the previously studied examples has recently been introduced by C. Chevalier and F. Debbasch, both in a heuristic and analytic way. A pathwise approach of these processes is proposed…

Probability · Mathematics 2008-11-03 Ismael Bailleul

We prove an extension to the classical continuity theorem in rough paths. We show that two $p$-rough paths are close in all levels of iterated integrals provided the first $\lfl p \rfl$ terms are close in a uniform sense. Applications…

Probability · Mathematics 2013-11-06 Terry Lyons , Weijun Xu

A central question in rough path theory is characterising the law of stochastic processes on path spaces. It is established in [I. Chevyrev & T. Lyons, Characteristic functions of measures on geometric rough paths, Ann. Probab. 44 (2016),…

Probability · Mathematics 2025-08-26 Siran Li , Zijiu Lyu , Hao Ni , Jiajie Tao

In this work stochastic integration with respect to cylindrical Levy processes with weak second moments is introduced. It is well known that a deterministic Hilbert-Schmidt operator radonifies a cylindrical random variable, i.e. it maps a…

Probability · Mathematics 2012-07-12 Markus Riedle

In the context of two illustrative examples from supersymmetric quantum mechanics we show that the semi-classical analysis of the path integral requires complexification of the configuration space and action, and the inclusion of complex…

High Energy Physics - Theory · Physics 2016-01-13 Alireza Behtash , Gerald V. Dunne , Thomas Schaefer , Tin Sulejmanpasic , Mithat Unsal

It is shown that a quantum L\'evy process in a box leads to a problem involving topological constraints in space, and its treatment in the framework of the path integral formalism with the L\'evy measure is suggested. The eigenvalue problem…

Quantum Physics · Physics 2015-06-24 A. Iomin

We construct a quasi-sure version (in the sense of Malliavin) of geometric rough paths associated with a Gaussian process with long-time memory. As an application we establish a large deviation principle (LDP) for capacities for such…

Probability · Mathematics 2014-10-28 Horatio Boedihardjo , Xi Geng , Zhongmin Qian

In this paper we develop a white noise framework for the study of stochastic partial differential equations driven by a d-parameter (pure jump) Levy white noise. As an example we use this theory to solve the stochastic Poisson equation with…

Probability · Mathematics 2016-09-07 Arne Lokka , Bernt Oksendal , Frank Proske

We provide a draft of a theory of geometric integration of rough differential forms which are generalizations of classical (smooth) differential forms to similar objects with very low regularity, for instance, involving H\"older continuous…

Differential Geometry · Mathematics 2020-01-20 Eugene Stepanov , Dario Trevisan

In this paper we study the properties of the Poisson random measure and the Poisson integral associated with a G-Levy process. We prove that a Poisson integral is a G-Levy process and give the conditions which ensure that a Poisson integral…

Probability · Mathematics 2014-11-19 Krzysztof Paczka

We consider uniformly subelliptic operators on certain unimodular Lie groups of polynomial growth. It was shown by Saloff-Coste and Stroock that classical results of De Giorgi, Nash, Moser, Aronson extend to this setting. It was then…

Probability · Mathematics 2007-11-01 Peter Friz , Nicolas Victoir

We study sums of independent and identically distributed random velocities in special relativity. We show that the resulting one-dimensional velocity distributions are not only stable under relativistic velocity addition but define a…

Statistical Mechanics · Physics 2025-12-03 Lucas G. B. de Souza , M. G. E. da Luz , E. P. Raposo , Evaldo M. F. Curado , G. M. Viswanathan

Semi-Levy process is an additive process with periodically stationary increments. In particular, it is a generalization of Levy process. The dichotomy of recurrence and transience of Levy processes is well known, but this is not necessarily…

Probability · Mathematics 2012-09-19 Makoto Maejima , Taisuke Takamune , Yohei Ueda

We introduce novel equations, in the spirit of rough path theory, that parametrize level sets of intrinsically regular maps on the Heisenberg group with values in $\mathbb{R}^2$. These equations can be seen as a sub-Riemannian counterpart…

Differential Geometry · Mathematics 2016-10-28 Valentino Magnani , Eugene Stepanov , Dario Trevisan

We explore the limit of stochastic differential equations driven by some random processes satisfying singularly perturbed second order stochastic differential equations. The main tool we employ is the universal limit theorem in rough path…

Probability · Mathematics 2026-04-08 Qingming Zhao , Xueru Liu , Wei Wang

In this article, the path independent property of additive functionals of McKean-Vlasov stochastic differential equations with jumps is characterised by nonlinear partial integro-differential equations involving $L$-derivatives with respect…

Probability · Mathematics 2020-03-19 Huijie Qiao , Jiang-Lun Wu

An improved version of the functional limit theorem is proved establishing weak convergence of random walks generated by compound doubly stochastic Poisson processes (compound Cox processes) to L{\'e}vy processes in the Skorokhod space…

Probability · Mathematics 2016-06-29 V. Yu. Korolev , A. V. Chertok , A. Yu. Korchagin , E. V. Kossova , A. I. Zeifman

A cylindrical Levy process does not enjoy a cylindrical version of the semi-martingale decomposition which results in the need to develop a completely novel approach to stochastic integration. In this work, we introduce a stochastic…

Probability · Mathematics 2016-08-25 Adam Jakubowski , Markus Riedle

We introduce a notion of distributional $k$-forms on $d$-dimensional manifolds which can be integrated against suitably regular $k$-submanifolds. Our approach combines ideas from Whitney's geometric integration [Whi57] with those of sewing…

Differential Geometry · Mathematics 2025-12-16 Ajay Chandra , Harprit Singh

It is well known that between all processes with independent increments, essentially only the Brownian motion and the Poisson process possess the chaotic representation property (CRP). Thus, a natural question appears: What is an…

Probability · Mathematics 2016-09-07 E. Lytvynov
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