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In this paper we define a new type of quadratic variation for cylindrical continuous local martingales on an infinite dimensional spaces. It is shown that a large class of cylindrical continuous local martingales has such a quadratic…

概率论 · 数学 2018-04-11 Mark Veraar , Ivan Yaroslavtsev

In this article we introduce cylindrical fractional Brownian motions in Banach spaces and develop the related stochastic integration theory. Here a cylindrical fractional Brownian motion is understood in the classical framework of…

概率论 · 数学 2015-11-19 Elena Issoglio , Markus Riedle

We introduce a transform on the class of stochastic exponentials for d-dimensional Brownian motions. Each stochastic exponential generates another stochastic exponential under the transform. The new exponential process is often merely a…

概率论 · 数学 2007-05-23 Victor Goodman

We show that, under certain smoothness conditions, a Brownian martingale at a fixed time can be represented as an exponential of its value at a later time. The time-dependent generator of this exponential operator is equal to one half times…

概率论 · 数学 2015-11-06 Henry Schellhorn

We show that if a random variable is a final value of an adapted Holder continuous process, then it can be represented as a stochastic integral with respect to fractional Brownian motion, and the integrand is an adapted process, continuous…

概率论 · 数学 2014-03-11 Georgiy Shevchenko , Lauri Viitasaari

The stochastic exponential $Z_t=\exp\{M_t-M_0-(1/2) <M,M>_t\}$ of a continuous local martingale $M$ is itself a continuous local martingale. We give a necessary and sufficient condition for the process $Z$ to be a true martingale in the…

概率论 · 数学 2010-10-12 Aleksandar Mijatovic , Mikhail Urusov

We show that, under certain smoothness conditions, a Brownian martingale, when evaluated at a fixed time, can be represented via an exponential formula at a later time. The time-dependent generator of this exponential operator only depends…

概率论 · 数学 2015-10-27 Sixian Jin , Qidi Peng , Henry Schellhorn

We show that if a random variable is the final value of an adapted log-H\"{o}lder continuous process, then it can be represented as a stochastic integral with respect to a fractional Brownian motion with adapted integrand. In order to…

概率论 · 数学 2015-10-08 Taras Shalaiko , Georgiy Shevchenko

It is shown that under a certain condition on a semimartingale and a time-change, any stochastic integral driven by the time-changed semimartingale is a time-changed stochastic integral driven by the original semimartingale. As a direct…

概率论 · 数学 2010-10-26 Kei Kobayashi

We discuss the relationships between some classical representations of the fractional Brownian motion, as a stochastic integral with respect to a standard Brownian motion, or as a series of functions with independent Gaussian coefficients.…

概率论 · 数学 2010-05-31 Jean Picard

The purpose of this note is to prove a central limit theorem for the $L^2$-modulus of continuity of the Brownian local time obtained in \cite{CLMR}, using techniques of stochastic analysis. The main ingredients of the proof are an…

概率论 · 数学 2009-08-19 Yaozhong Hu , David Nualart

The purpose of this paper is to study certain set-valued integrals in UMD Banach spaces and provide a compatible form of the martingale representation theorem for set-valued martingales. Under specific conditions, these martingales can be…

概率论 · 数学 2024-12-11 E. H. Essaky , M. Hassani , C. E. Rhazlane

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…

概率论 · 数学 2017-01-26 Mark Davis , Jan Obłój , Pietro Siorpaes

In this paper we introduce the concept of conic martingales}. This class refers to stochastic processes having the martingale property, but that evolve within given (possibly time-dependent) boundaries. We first review some results about…

概率论 · 数学 2016-03-25 Frédéric Vrins , Monique Jeanblanc

We present a new approach to noncommutative stochastic calculus that is, like the classical theory, based primarily on the martingale property. Using this approach, we introduce a general theory of stochastic integration and quadratic…

算子代数 · 数学 2025-10-28 David A. Jekel , Todd A. Kemp , Evangelos A. Nikitopoulos

For a real Borel measurable function b, which satisfies certain integrability conditions, it is possible to define a stochastic integral of the process b(Y) with respect to a Brownian motion W, where Y is a diffusion driven by W. It is well…

概率论 · 数学 2010-10-06 Aleksandar Mijatović , Nika Novak , Mikhail Urusov

This paper provides the time-dependent $L^2$-martingale representation of the forward stochastic integral where the driving noise is the Riemann-Liouville fractional Brownian motion with parameter $\frac{1}{2} < H < 1$ and the integrand is…

概率论 · 数学 2025-12-16 Paulo Henrique da Costa , Alberto Ohashi , Francesco Russo

In this paper we study the local times of Brownian motion from the point of view of algorithmic randomness. We introduce the notion of effective local time and show that any path which is Martin-L\"of random with respect to the Wiener…

计算复杂性 · 计算机科学 2022-08-04 Willem Fouche , Safari Mukeru

We study integral representations of random variables with respect to general H\"older continuous processes and with respect to two particular cases; fractional Brownian motion and mixed fractional Brownian motion. We prove that arbitrary…

概率论 · 数学 2014-05-01 Georgiy Shevchenko , Lauri Viitasaari

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 It^o stochastic integral \int H(X)dM, where H(x) is some particular measurable choice of…

概率论 · 数学 2011-04-01 Nastasiya F Grinberg
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