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Related papers: Wiener integrals with respect to Yeh processes

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The theta process is a stochastic process of number theoretical origin arising as a scaling limit of quadratic Weyl sums. It can be described in terms of the geodesic flow and an automorphic function on a homogeneous space. This process has…

Probability · Mathematics 2025-02-25 Francesco Cellarosi , Zachary Selk

Using the path integral measure factorization method based on the nonlinear filtering equation from the stochastic process theory, we consider the reduction procedure in Wiener path integrals for a mechanical system with symmetry that…

Mathematical Physics · Physics 2020-01-01 S. N. Storchak

In this paper, we introduce two new matrix stochastic processes: fractional Wishart processes and $\varepsilon$-fractional Wishart processes with integer indices which are based on the fractional Brownian motions and then extend…

Optimization and Control · Mathematics 2017-05-16 Jia Yue , Nan-jing Huang

In this paper we study a family of nonlinear (conditional) expectations that can be understood as a stochastic process with uncertain parameters. We develop a general framework which can be seen as a version of the martingale problem method…

Probability · Mathematics 2023-08-04 David Criens

Volterra processes appear in several applications ranging from turbulence to energy finance where they are used in the modelling of e.g. temperatures and wind and the related financial derivatives. Volterra processes are in general…

Optimization and Control · Mathematics 2018-12-24 Giulia di Nunno , Andrea Fiacco , Erik Hove Karlsen

Stochastic antiderivational equations on Banach spaces over local non-Archimedean fields are investigated. Theorems about existence and uniqiuness of the solutions are proved under definite conditions. In particular Wiener processes are…

General Mathematics · Mathematics 2007-05-23 S. V. Ludkovsky

We present a systematic study of higher-order Airy-type differential equations providing the explicit form of the solutions, deriving their power series expansions and a probabilistic interpretation. Under suitable convergence hypotheses,…

Probability · Mathematics 2024-10-11 Fabrizio Cinque , Enzo Orsingher

By departing from the previous attempt (Phys. Rev. {\bf E 51}, 4114, (1995)) we give a detailed construction of conditional and perturbed Markov processes, under the assumption that the Cauchy law of probability replaces the Gaussian law…

Mathematical Physics · Physics 2015-06-26 P. Garbaczewski , R. Olkiewicz

This paper deals with the evaluation of some definite Euler-type integrals in terms of the Wright hypergeometric function. We obtain a theorem on the Wright hypergeometric function and then use this theorem to evaluate some definite…

Classical Analysis and ODEs · Mathematics 2019-01-23 S Jabee , M Shadab , R B Paris

We introduce the Wick integral $\int_s^t p(X_u) \Diamond \mathrm{d} X_u$ for a class of stochastic processes $X$ which are not necessarily Gaussian, in the regime of bounded $2> q$-variation. The integral is defined for polynomial…

Probability · Mathematics 2025-12-18 Carlo Bellingeri , Emilio Ferrucci

We establish a direct connection between the Feynman-Vernon path integral formalism for open quantum systems and the Wiener path integral used in classical stochastic dynamics. By considering a generalized influence functional in the strong…

Quantum Physics · Physics 2026-03-03 Antonio Camurati , Felipe Sobrero , Bruno Suassuna , Pedro V. Paraguassú

A mixingale is a stochastic process which combines properties of martingales and mixing sequences. McLeish introduced the term mixingale at the $4^{th}$ Conference on Stochastic Processes and Application, at York University, Toronto, 1974,…

Probability · Mathematics 2017-07-05 Wen-Chi Kuo , Jessica Joy Vardy , Bruce Alastair Watson

We consider some versions and generalizations of an approach to the expansion of iterated Ito stochastic integrals of arbitrary multiplicity $k$ $(k\in\mathbb{N})$ based on generalized multiple Fourier series. Expansions of iterated…

Probability · Mathematics 2023-08-01 Dmitriy F. Kuznetsov

Two problems are addressed for the path of certain stochastic processes: a) do they define currents? b) are these currents of a classical type? A general answer to question a) is given for processes like semimartingales or with Lyons-Zheng…

For nice functions, invariant means over integral currents (certain generalized surfaces), can be uniquely defined.

Mathematical Physics · Physics 2010-05-14 M. Zyskin

For many stochastic processes there is an underlying coordinate space, $V$, with the process moving from point to point in $V$ or on variables (such as spin configurations) defined with respect to $V$. There is a matrix of transition…

Statistical Mechanics · Physics 2007-11-08 Bernard Gaveau , Lawrence S. Schulman , Leonard J. Schulman

We show that small ball estimates together with Holder continuity assumption allow to obtain new representation results in models with long memory. In order to apply these results, we establish small ball probability estimates for Gaussian…

Probability · Mathematics 2015-08-31 Yuliya Mishura , Georgiy Shevchenko

We consider Riemann sum approximations of stochastic integrals with respect to the fractional Browian motion of index $H\geq \frac12$. We show the convergence of these schemes at first and second order. The processes obtained in the limit…

Probability · Mathematics 2021-12-20 Valentin Garino , Ivan Nourdin , Pierre Vallois

In this article we illustrate the relation between the existence of Wiener integrals with respect to a Levy process in a separable Banach space and radonifying operators. For this purpose, we introduce the class of theta-radonifying…

Probability · Mathematics 2015-06-18 Markus Riedle

The properties of an alternative definition of quantum entropy, based on Wigner functions, are discussed. Such definition emerges naturally from the Wigner representation of quantum mechanics, and can easily quantify the amount of…

Quantum Physics · Physics 2009-11-07 G. Manfredi , M. R. Feix