English
Related papers

Related papers: Generalized Ito Formulae and Space-Time Lebesgue-S…

200 papers

The objective of this paper is to study the local time and Tanaka formula of symmetric $G$-martingales. We introduce the local time of $G$-martingales and show that they belong to $G$-expectation space $L_{G}^{2}(\Omega _{T})$. The…

Probability · Mathematics 2018-06-12 Guomin Liu

We develop a nonanticipative calculus for functionals of a continuous semimartingale, using an extension of the Ito formula to path-dependent functionals which possess certain directional derivatives. The construction is based on a pathwise…

Probability · Mathematics 2013-02-05 Rama Cont , David-Antoine Fournié

The functional Ito formula, firstly introduced by Bruno Dupire for continuous semimartingales, might be extended in two directions: different dynamics for the underlying process and/or weaker assumptions on the regularity of the functional.…

Probability · Mathematics 2018-06-19 Yuri F. Saporito

In this note we define and study a Hilbert space-valued stochastic integral of operator-valued functions with respect to Hilbert space-valued measures. We show that this integral generalizes the classical Ito stochastic integral of adapted…

Functional Analysis · Mathematics 2016-06-14 Volodymyr Tesko

We study the local (in time) expansion of a continuous-time process and its conditional moments, including the process' characteristic function. The expansions are conducted by using the properties of the (time-extended) Ito signature, a…

Mathematical Finance · Quantitative Finance 2025-04-10 Federico M. Bandi , Roberto Renò , Sara Svaluto-Ferro

Several versions of It\^{o}'s formula have been obtained in the setting of the functional stochastic calculus. In this regard, we present a local time-space version that works for arbitrary bounded and continuous functionals of L\'{e}vy…

Probability · Mathematics 2024-06-04 Christian Houdré , Jorge Víquez

In this paper, by extending the classic stochastic integrals, we investigate three kinds of more general stochastic integrals: Lebesgue-Stieltjes integrals on predictable sets of interval type (in short: PSITs), stochastic integrals on…

Probability · Mathematics 2023-11-08 Jia Yue , Ming-Hui Wang , Nan-Jing Huang

We establish a local martingale $M$ associate with $f(X,Y)$ under some restrictions on $f$, where $Y$ is a process of bounded variation (on compact intervals) and either $X$ is a jump diffusion (a special case being a L\'evy process) or $X$…

Probability · Mathematics 2017-11-22 Offer Kella , Marc Yor

In this paper we generalize a representation formula for the local time of a function of a semimartingale due to Coquet and Ouknine \cite{Ouknine} , our formula being a pointwise equality between two processes we show in addition that the…

Probability · Mathematics 2021-04-29 Anass Ben Taleb

These notes contains an introduction to the theory of Brownian and diffusion local time, as well as its relations to the Tanaka Formula, the extended Ito-Tanaka formula for convex functions, the running maximum process, and the theory of…

Probability · Mathematics 2015-12-31 Tomas Björk

The quantum Ito formula has so far been proved for regular (bounded) quantum semimartingales We give three different extensions to classes of essentially self-adjoint (unbounded) quantum semimartingales. The first extension is to quantum…

Quantum Algebra · Mathematics 2007-05-23 G. F. Vincent-Smith

We consider a time-space fractional diffusion equation with a variable coefficient and investigate the inverse problem of reconstructing the source term, after regularizing the problem with the quasiboundary value method to mitigate the…

Numerical Analysis · Mathematics 2025-10-21 Asim Ilyas , Muhammad Faisal Khan , Rosita L. Sormani , Giacomo Tento , Stefano Serra-Capizzano

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

For non-anticipative functionals, differentiable in Chitashvili's sense, the It\^o formula for cadlag semimartingales is proved. Relations between different notions of functional derivatives are established.

Probability · Mathematics 2019-03-28 Michael Mania , Revaz Tevzadze

This is a survey note of the author's observations on the discrete-time analogues of It\^o formulas.

Probability · Mathematics 2007-05-23 Jirô Akahori

We derive an Ito-formula for the Dawson-Watanabe superprocess, a well-known class of measure-valued processes, extending the classical Ito-formula with respect to two aspects. Firstly, we extend the state-space of the underlying process…

Probability · Mathematics 2020-10-07 Christian Mandler , Ludger Overbeck

We study a notion of local time for a continuous path, defined as a limit of suitable discrete quantities along a general sequence of partitions of the time interval. Our approach subsumes other existing definitions and agrees with the…

Probability · Mathematics 2017-01-26 Mark Davis , Jan Obłój , Pietro Siorpaes

In this paper we established the condition for a curve to satisfy stochastic generalized fractional HP (Hamilton-Pontryagin) equations. These equations are described using Ito integral. We have also considered the case of stochastic…

Dynamical Systems · Mathematics 2009-09-01 I. D. Albu , M. Neamtu , D. Opris

In this article, we consider fractional derivatives of local time for $d-$dimensional centered Gaussian processes satisfying certain strong local nondeterminism property. We first give a condition for existence of fractional derivatives of…

Probability · Mathematics 2026-04-27 Minhao Hong , Qian Yu

For stochastic systems driven by continuous semimartingales an explicit formula for the logarithm of the Ito flow map is given. A similar formula is also obtained for solutions of linear matrix-valued SDEs driven by arbitrary…

Probability · Mathematics 2015-11-24 Kurusch Ebrahimi-Fard , Simon J. A. Malham , Frederic Patras , Anke Wiese