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Related papers: Ito maps and analysis on path spaces

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This is the second paper on the path integral approach of superintegrable systems on Darboux spaces, spaces of non-constant curvature. We analyze in the spaces $\DIII$ and $\DIV$ five respectively four superintegrable potentials, which were…

Quantum Physics · Physics 2008-11-26 Christian Grosche , George Pogosyan , Alexei Sissakian

Path dependence is omnipresent in many disciplines such as engineering, system theory and finance. It reflects the influence of the past on the future, often expressed through functionals. However, non-Markovian problems are often…

Mathematical Finance · Quantitative Finance 2023-03-03 Bruno Dupire , Valentin Tissot-Daguette

Let A be a von Neumann algebra with a finite trace $\tau$, represented in $H=L^2(A,\tau)$, and let $B_t\subset A$ be sub-algebras, for $t$ in an interval $I$. Let $E_t:A\to B_t$ be the unique $\tau$-preserving conditional expectation. We…

Operator Algebras · Mathematics 2010-10-07 Esteban Andruchow , Gabriel Larotonda

Using Zeilberger generating function formula for the values of a discrete analytic function in a quadrant we make connections with the theory of structured reproducing kernel spaces, structured matrices and a generalized moment problem. An…

Complex Variables · Mathematics 2022-03-28 Daniel Alpay , Fabrizio Colombo , Kamal Diki , Irene Sabadini , Dan Volok

We prove pathwise (hence strong) uniqueness of solutions to stochastic evolution equations in Hilbert spaces with merely measurable bounded drift and cylindrical Wiener noise, thus generalizing Veretennikov's fundamental result on…

Probability · Mathematics 2013-10-14 G. Da Prato , F. Flandoli , E. Priola , M. Röckner

In this work, we consider rather general and broad class of Markov chains, Ito chains, that look like Euler-Maryama discretization of some Stochastic Differential Equation. The chain we study is a unified framework for theoretical analysis.…

Optimization and Control · Mathematics 2024-04-02 Aleksei Ustimenko , Aleksandr Beznosikov

We propose a stochastic extension of deformation quantization on a Hilbert space. The Moyal product is defined in this context on the space of functionals belonging to all of the Sobolev spaces of the Malliavin calculus.

Quantum Algebra · Mathematics 2007-05-23 Giuseppe Dito , Remi Leandre

In this work we show that rough stochastic differential equations (RSDEs), as introduced by Friz, Hocquet, and L\^e (2021), are Malliavin differentiable. We use this to prove existence of a density when the diffusion coefficients satisfies…

Probability · Mathematics 2024-02-20 Fabio Bugini , Michele Coghi , Torstein Nilssen

We investigate Markovian lifts of stochastic Volterra equations (SVEs) with completely monotone kernels and general coefficients within a class of weighted Sobolev spaces. Our primary focus is developing a comprehensive solution theory for…

Probability · Mathematics 2025-03-17 Florian Huber

Strong solutions of p-dimensional stochastic differential equations that can be represented locally in explicit simulation form are considered. The following three-way equivalence is established: 1) There exists such a representation from…

Probability · Mathematics 2016-09-13 Michael A. Kouritzin , Bruno Remillard

A `discrete differential manifold' we call a countable set together with an algebraic differential calculus on it. This structure has already been explored in previous work and provides us with a convenient framework for the formulation of…

High Energy Physics - Theory · Physics 2009-10-28 A. Dimakis , F. M"uller-Hoissen , F. Vanderseypen

The purpose of this paper is to provide a both comprehensive and summarizing account on recent results about analysis and geometry on configuration spaces $\Gamma_X$ over Riemannian manifolds $X$. Particular emphasis is given to a complete…

Probability · Mathematics 2016-09-07 Michael Röckner

We identify certain Gromov-Witten invariants counting rational curves with given incidence and tangency conditions with the Betti numbers of moduli spaces of point configurations in projective spaces. On the Gromov-Witten side, S. Fomin and…

Algebraic Geometry · Mathematics 2018-03-22 Markus Reineke , Thorsten Weist

We analyze the relationship between two compactifications of the moduli space of maps from curves to a Grassmannian: the Kontsevich moduli space of stable maps and the Marian--Oprea--Pandharipande moduli space of stable quotients. We…

Algebraic Geometry · Mathematics 2019-02-20 Cristina Manolache

Some linear integro-differential operators have old and classical representations as the Dirichlet-to-Neumann operators for linear elliptic equations, such as the 1/2-Laplacian or the generator of the boundary process of a reflected…

Analysis of PDEs · Mathematics 2017-10-10 Nestor Guillen , Jun Kitagawa , Russell W. Schwab

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

Following the works of Alexandrov, Mironov and Morozov, we show that the symplectic invariants of \cite{EOinvariants} built from a given spectral curve satisfy a set of Virasoro constraints associated to each pole of the differential form…

Mathematical Physics · Physics 2008-10-27 N. Orantin

We define compositions $\varphi(X)$ of H\"older paths $X$ in $\mathbb{R}^n$ and functions of bounded variation $\varphi$ under a relative condition involving the path and the gradient measure of $\varphi$. We show the existence and…

Probability · Mathematics 2023-11-07 Michael Hinz , Jonas M. Tölle , Lauri Viitasaari

We consider a stochastic nonlinear defocusing Schr\"{o}dinger equation with zero-order linear damping, where the stochastic forcing term is given by a combination of a linear multiplicative noise in the Stratonovich form and a nonlinear…

Probability · Mathematics 2023-07-10 Zdzisław Brzeźniak , Benedetta Ferrario , Margherita Zanella

A stochastic process $X$ becomes occupied when it is enlarged with its occupation flow $\mathcal{O}$ that tracks the time spent by the path at each level. When $X$ is Markov, the occupied process $(\mathcal{O},X)$ enjoys a Markov structure…

Probability · Mathematics 2026-04-30 Valentin Tissot-Daguette