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Related papers: Smoothness of densities for path-dependent SDEs un…

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The purpose of this paper is to study some properties of solutions to one dimensional as well as multidimensional stochastic differential equations (SDEs in short) with super-linear growth conditions on the coefficients. Taking inspiration…

Probability · Mathematics 2015-02-18 Khaled Bahlali , Antoine Hakassou , Youssef Ouknine

We provide sufficient conditions for the existence and uniqueness of solutions to a stochastic differential equation which arises in a price impact model. These conditions are stated as smoothness and boundedness requirements on utility…

Trading and Market Microstructure · Quantitative Finance 2014-10-21 Peter Bank , Dmitry Kramkov

Path-dependent PDEs (PPDEs) are natural objects to study when one deals with non Markovian models. Recently, after the introduction of the so-called pathwise (or functional or Dupire) calculus (see [15]), in the case of finite-dimensional…

Probability · Mathematics 2017-03-07 Andrea Cosso , Salvatore Federico , Fausto Gozzi , Mauro Rosestolato , Nizar Touzi

We use invariant manifold results on Banach spaces to conclude the existence of spectral submanifolds (SSMs) in a class of nonlinear, externally forced beam oscillations. SSMs are the smoothest nonlinear extensions of spectral subspaces of…

Mathematical Physics · Physics 2018-03-14 Florian Kogelbauer , George Haller

We prove the existence and smoothness of density for the solution of a hyperbolic SPDE with free term coefficients depending on time, under hypoelliptic non degeneracy conditions. The result extends those proved in Cattiaux and Mesnager,…

Probability · Mathematics 2007-05-23 Marta Sanz-Solé , Iván Torrecilla-Tarantino

We show regularity properties of local densities of solutions of stochastic differential equations (SDEs) with the Fourier analytic approach. With this simple method, statements that were previously derived with approaches using Malliavin…

Probability · Mathematics 2025-05-01 Simon Ellinger

This research concerns coefficient conditions for linear differential equations in the unit disc of the complex plane. In the higher order case the separation of zeros (of maximal multiplicity) of solutions is considered, while in the…

Complex Variables · Mathematics 2018-10-01 Janne Gröhn , Juha-Matti Huusko , Jouni Rättyä

This paper studies the estimation of smooth functionals $f(\theta)$ of a mean parameter $\theta = \mathbb{E}_P[W]$ for a distribution $P$ on a general Banach space. We propose a cross-fitted estimator based on a single sample splitting and…

Statistics Theory · Mathematics 2026-04-03 Woonyoung Chang , Arun Kumar Kuchibhotla

An L2 theory of differential forms is proposed for the Banach manifold of continuous paths on Riemannian manifolds M furnished with its Brownian motion measure. Differentiation must be restricted to certain Hilbert space directions, the…

Probability · Mathematics 2016-05-09 K. D. Elworthy , Xue-Mei Li

We prove strong well-posedness for a class of stochastic evolution equations in Hilbert spaces H when the drift term is Holder continuous. This class includes examples of semilinear stochastic damped wave equations which describe elastic…

Probability · Mathematics 2023-06-01 Davide Addona , Federica Masiero , Enrico Priola

This paper considers optimization of smooth nonconvex functionals in smooth infinite dimensional spaces. A H\"older gradient descent algorithm is first proposed for finding approximate first-order points of regularized polynomial…

Optimization and Control · Mathematics 2021-04-07 Serge Gratton , Sadok Jerad , Philippe L. Toint

We consider an infinite-dimensional dynamical system with polynomial nonlinearity and additive noise given by a finite number of Wiener processes. By studying how randomness is spread by the system we develop a counterpart of Hormander's…

Probability · Mathematics 2007-05-23 Yuri Bakhtin , Jonathan C. Mattingly

Let $X$ be a regular one-dimensional transient diffusion and $L^y$ be its local time at $y$. The stochastic differential equation (SDE) whose solution corresponds to the process $X$ conditioned on $[L^y_{\infty}=a]$ for a given $a\geq 0$ is…

Probability · Mathematics 2017-12-29 Umut Çetin

We introduce the class of "smooth rough paths" and study their main properties. Working in a smooth setting allows us to discard sewing arguments and focus on algebraic and geometric aspects. Specifically, a Maurer-Cartan perspective is the…

Probability · Mathematics 2024-03-18 Carlo Bellingeri , Peter K. Friz , Sylvie Paycha , Rosa Preiß

Recently, it has been shown in [Jentzen, A., M\"uller-Gronbach, T., and Yaroslavtseva, L., Commun. Math. Sci., 14, 2016] that there exists a system of autonomous stochastic differential equations (SDE) on the time interval $[0,T]$ with…

Probability · Mathematics 2017-07-28 Thomas Müller-Gronbach , Larisa Yaroslavtseva

In this note, we provide a non trivial example of differential equation driven by a fractional Brownian motion with Hurst parameter 1/3 < H < 1/2, whose solution admits a smooth density with respect to Lebesgue's measure. The result is…

Probability · Mathematics 2013-12-19 Yaozhong Hu , Samy Tindel

In this article we prove pathwise Holder convergence with optimal rates of the implicit Euler scheme for semi-linear parabolic stochastic differential equations with multiplicative noise, set in a UMD Banach space X. We assume the…

Functional Analysis · Mathematics 2012-01-24 S. G. Cox , J. M. A. M. van Neerven

We prove existence, regularity in H\"older classes and estimates from above and below of the fundamental solution of the stochastic Langevin equation. This degenerate SPDE satisfies the weak H\"ormander condition. We use a Wentzell's…

Probability · Mathematics 2019-10-14 Andrea Pascucci , Antonello Pesce

We introduce a notion of approximate viscosity solution for a class of nonlinear path-dependent PDEs (PPDEs), including the Hamilton-Jacobi-Bellman type equations. Existence, comparaison and stability results are established under fairly…

Analysis of PDEs · Mathematics 2021-09-09 Bruno Bouchard , Grégoire Loeper , Xiaolu Tan

We introduce a novel mesh-free and direct method for computing the shape derivative in PDE-constrained shape optimization problems. Our approach is based on a probabilistic representation of the shape derivative and is applicable for…

Optimization and Control · Mathematics 2026-01-27 Luka Schlegel , Volker Schulz , Frank T. Seifried , Maximilian Würschmidt
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