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This paper concerns a class of Banach valued processes which have finite quadratic variation. The notion introduced here generalizes the classical one, of M\'etivier and Pellaumail which is quite restrictive. We make use of the notion of…

Probability · Mathematics 2011-05-24 Cristina Di Girolami , Francesco Russo

This article focuses on a new concept of quadratic variation for processes taking values in a Banach space $B$ and a corresponding covariation. This is more general than the classical one of M\'etivier and Pellaumail. Those notions are…

Probability · Mathematics 2013-08-02 Cristina Di Girolami , Giorgio Fabbri , Francesco Russo

We provide a suitable framework for the concept of finite quadratic variation for processes with values in a separable Banach space $B$ using the language of stochastic calculus via regularizations, introduced in the case $B= \R$ by the…

Probability · Mathematics 2010-10-27 Cristina Di Girolami , Francesco Russo

In this paper, we establish $\mathcal B$-valued variational inequalities for differential operators, ergodic averages and symmetric diffusion semigroups under the condition that Banach space $\mathcal B$ has martingale cotype property.…

Functional Analysis · Mathematics 2014-12-09 Guixiang Hong , Tao Ma

Let $B^H$ be a fractional Brownian motion with Hurst index $0<H<1/2$. In this paper we study the {\it generalized quadratic covariation} $[f(B^H),B^H]^{(W)}$ defined by $$ [f(B^H),B^H]^{(W)}_t=\lim_{\epsilon\downarrow…

Probability · Mathematics 2011-06-21 Litan Yan , Chao Chen , Junfeng Liu

Let $B^{a,b}$ be a weighted fractional Brownian motion with indices $a,b$ satisfying $a>-1,-1<b<0,|b|<1+a$. In this paper, motivated by the asymptotic property $$ E[(B^{a,b}_{s+\varepsilon}-B^{a,b}_s)^2] =O(\varepsilon^{1+b})\not\sim…

Probability · Mathematics 2016-03-08 XIchao Sun , Litan Yan , Qinghua Zhang

We investigate the conditional distributions of two Banach space valued, jointly Gaussian random variables. In particular, we show that these conditional distributions are again Gaussian and that their means and covariances can be…

Probability · Mathematics 2025-02-25 Ingo Steinwart

Motivated by applications to SPDEs we extend the It\^o formula for the square of the norm of a semimartingale $y(t)$ from Gy\"ongy and Krylov (Stochastics 6(3):153-173, 1982) to the case \begin{equation*} \sum_{i=1}^m \int_{(0,t]}…

Probability · Mathematics 2017-03-22 István Gyöngy , David Šiška

The covariance function of a Gauss-Markov process evaluated at points $(s,t)$ admits a representation as a product of a function of $\min(s,t)$ and a function of $\max(s,t)$. We call these functions the covariance factors of a Gauss-Markov…

Probability · Mathematics 2025-08-01 Georges Kassis

The concept of scaled quadratic variation was originally introduced by E. Gladyshev in 1961 in the context of Gaussian processes, where it was defined as the limit of the covariance of the underlying Gaussian process. In this paper, we…

Probability · Mathematics 2025-07-17 Suprio Bhar , Purba Das , Barun Sarkar

Functional It\^o calculus was introduced in order to expand a functional $F(t, X\_{\cdot+t}, X\_t)$ depending on time $t$, past and present values of the process $X$. Another possibility to expand $F(t, X\_{\cdot+t}, X\_t)$ consists in…

Probability · Mathematics 2015-05-15 Andrea Cosso , Francesco Russo

In this paper, we study properties of quadratic variations of c\`{a}dl\`{a}g paths within the framework of the It\^{o}--F\"{o}llmer calculus in Banach spaces. We prove a $C^1$-type transformation formula for quadratic variations. We also…

Probability · Mathematics 2022-11-22 Yuki Hirai

We develop a theory of Hilbert-space valued stochastic integration with respect to cylindrical martingale-valued measures. As part of our construction, we expand the concept of quadratic variation, introduced by Veraar and Yaroslavtsev…

Probability · Mathematics 2025-06-17 Santiago Cambronero , David Campos , C. A. Fonseca-Mora , Darío Mena

We consider a stochastic process $Y$ defined by an integral in quadratic mean of a deterministic function $f$ with respect to a Gaussian process $X$, which need not have stationary increments. For a class of Gaussian processes $X$, it is…

Probability · Mathematics 2015-06-01 Rimas Norvaiša

This article characterizes conjugates and subdifferentials of convex integral functionals over the linear space $\mathcal N^\infty$ of stochastic processes of essentially bounded variation (BV) when $\mathcal N^\infty$ is identified with…

Optimization and Control · Mathematics 2016-05-26 Teemu Pennanen , Ari-Pekka Perkkiö

Using the theory of stochastic integration developed recently by the authors, in this paper we prove an It\^{o} formula for Hilbert space-valued It\^{o} processes defined with respect to a cylindrical-martingale valued measure. As part of…

Probability · Mathematics 2024-12-17 Santiago Cambronero , David Campos , C. A. Fonseca-Mora , Darío Mena

Let $u(t,x)$ be the solution to a stochastic heat equation $$ \frac{\partial}{\partial t}u=\frac12\frac{\partial^2}{\partial x^2}u+\frac{\partial^2}{\partial t\partial x}X(t,x),\quad t\geq 0, x\in {\mathbb R} $$ with initial condition…

Probability · Mathematics 2016-03-02 Xichao Sun , Litan Yan , Xianye Yu

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…

Probability · Mathematics 2018-04-11 Mark Veraar , Ivan Yaroslavtsev

A study on the notion of covariant derivatives in flat and curved space-time via It\^o-Wiener processes, when subjected to stochastic processes, is presented. Going into details, there is an analysis of the following topics: (i) Besov…

Probability · Mathematics 2023-04-26 Edoardo Niccolai

The concept of bounded variation has been generalized in many ways. In the frame of functions taking values in Banach space, the concept of bounded semivariation is a very important generalization. The aim of this paper is to provide an…

Classical Analysis and ODEs · Mathematics 2016-10-12 Giselle Antunes Monteiro
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