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This paper discusses a new notion of quadratic variation and covariation for Banach space valued processes (not necessarily semimartingales) and related It\^o formula. If $\X$ and $\Y$ take respectively values in Banach spaces $B_{1}$ and…

Probability · Mathematics 2013-02-28 Cristina Di Girolami , Francesco Russo

The recently introduced concept of $\mathcal{D}$-variation unifies previous concepts of variation of multivariate functions. In this paper, we give an affirmative answer to the open question from Pausinger \& Svane (J. Complexity, 2014)…

Classical Analysis and ODEs · Mathematics 2016-06-13 Christoph Aistleitner , Florian Pausinger , Anne Marie Svane , Robert F. Tichy

We consider a class of infinite-dimensional singular stochastic control problems. These can be thought of as spatial monotone follower problems and find applications in spatial models of production and climate transition. Let…

Optimization and Control · Mathematics 2026-03-06 Salvatore Federico , Giorgio Ferrari , Frank Riedel , Michael Röckner

We define a stochastic variant of the proximal point algorithm in the general setting of nonlinear (separable) Hadamard spaces for approximating zeros of the mean of a stochastically perturbed monotone vector field and prove its convergence…

Optimization and Control · Mathematics 2025-10-14 Nicholas Pischke

Using Vovk's outer measure, which corresponds to a minimal superhedging price, the existence of quadratic variation is shown for "typical price paths" in the space of c\`adl\`ag functions possessing a mild restriction on the jumps directed…

Mathematical Finance · Quantitative Finance 2018-11-14 Rafał M. Łochowski , Nicolas Perkowski , David J. Prömel

Given a unital algebra $\mathscr A$ of locally Lipschitz functions defined over a metric measure space $({\mathrm X},{\mathsf d},\mathfrak m)$, we study two associated notions of function of bounded variation and their relations: the space…

Functional Analysis · Mathematics 2026-04-08 Enrico Pasqualetto , Giacomo Enrico Sodini

In this work we study the long time behavior of nonlinear stochastic functional-differential equations in Hilbert spaces. In particular, we start with establishing the existence and uniqueness of mild solutions. We proceed with deriving a…

Analysis of PDEs · Mathematics 2020-11-16 Oleksandr Misiats , Viktoriia Mogylova , Oleksandr Stanzhytskyi

This is an attempt to build Banach space valued theory for certain singular integrals on Hamming cube. Of course all estimates below are dimension independent, and we tried to find ultimate sharp assumptions on the Banach space for a…

Functional Analysis · Mathematics 2022-04-27 Paata Ivanisvili , Alexander Volberg

One considers Hilbert space valued measures on the Borel sets of a compact metric space. A natural numerical valued integral of vector valued continuous functions with respect to vector valued functions is defined. Using this integral,…

Functional Analysis · Mathematics 2014-04-22 Ion Chitescu , Radu Miculescu , Lucian Nita , Loredana Ioana

We provide necessary and sufficient conditions for stochastic invariance of finite dimensional submanifolds for solutions of stochastic partial differential equations (SPDEs) in continuously embedded Hilbert spaces with non-smooth…

Probability · Mathematics 2025-11-21 Rajeev Bhaskaran , Stefan Tappe

We introduce a family of Banach spaces of measures, each containing the set of measures with density of bounded variation. These spaces are suitable for the study of weighted transfer operators of piecewise-smooth maps of the interval where…

Dynamical Systems · Mathematics 2014-03-21 Oliver Butterley

We extend Walsh's theory of martingale measures in order to deal with hyperbolic stochastic partial differential equations that are second order in time, such as the wave equation and the beam equation, and driven by spatially homogeneous…

Probability · Mathematics 2011-02-18 Robert C. Dalang , Carl Mueller

This paper presents a continuous and discrete Lagrangian theory for stochastic Hamiltonian systems on manifolds. The main result is to derive stochastic governing equations for such systems from a critical point of a stochastic action.…

Probability · Mathematics 2009-06-02 Nawaf Bou-Rabee , Houman Owhadi

In this paper we further study the stochastic partial differential equation first proposed by Xiong (2013). Under localized conditions on the coefficients we show that the solution is in fact distribution-function-valued and we establish…

Probability · Mathematics 2016-10-10 Li Wang , Xu Yang , Xiaowen Zhou

The contribution of this work is twofold. The first part deals with a Hilbert-space version of McCann's celebrated result on the existence and uniqueness of monotone measure-preserving maps: given two probability measures $\rm P$ and $\rm…

Probability · Mathematics 2023-05-23 Alberto González-Sanz , Marc Hallin , Bodhisattva Sen

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

We introduce the local martingale problem associated to semilinear stochastic evolution equations driven by a cylindrical Wiener process and establish a one-to-one correspondence between solutions of the martingale problem and…

Probability · Mathematics 2014-04-09 Markus C. Kunze

We study various Stieltjes integrals as Poisson-Stieltjes, conjugate Poisson-Stieltjes, Schwartz-Stieltjes and Cauchy-Stieltjes and prove theorems on the existence of their finite angular limits a.e. in terms of the singular…

Complex Variables · Mathematics 2019-09-24 Vladimir Ryazanov

We provide an exhaustive treatment of Linear-Quadratic control problems for a class of stochastic Volterra equations of convolution type, whose kernels are Laplace transforms of certain signed matrix measures which are not necessarily…

Optimization and Control · Mathematics 2020-11-30 Eduardo Abi Jaber , Enzo Miller , Huyên Pham

We introduce the concept of finite $\gamma$-scaled quadratic variation along a sequence of partitions for paths on a given interval. This concept, with historical roots in the study of Gaussian processes by Gladyshev (1961) and Klein \&…

Probability · Mathematics 2025-09-25 James-Michael Leahy , Torstein Nilssen