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We analyze infinite-dimensional Hamiltonian systems corresponding to partial differential equations on one-dimensional spatial domains formulated with formally skew-adjoint Hamiltonian operators and nonlinear Hamiltonian density. In various…

Analysis of PDEs · Mathematics 2024-01-30 Till Preuster , Manuel Schaller , Bernhard Maschke

Differential equations with state-dependent delays define a semiflow of continuously differentiable solution operators in general only on the associated {\it solution manifold} in the Banach space $C^1_n=C^1([-h,0],\mathbb{R}^n)$. For a…

Dynamical Systems · Mathematics 2024-02-13 Hans-Otto Walther

Stochastic antiderivational equations on Banach spaces over local non-Archimedean fields are investigated. Theorems about existence and uniqiuness of the solutions are proved under definite conditions. In particular Wiener processes are…

General Mathematics · Mathematics 2007-05-23 S. V. Ludkovsky

We apply the Dirichlet forms version of Malliavin calculus to stochastic differential equations with jumps. As in the continuous case this weakens significantly the assumptions on the coefficients of the SDE. In spite of the use of the…

Probability · Mathematics 2016-11-25 Nicolas Bouleau , Laurent Denis

Via a special transform and by using the techniques of the Malliavin calculus, we analyze the density of the solution to a stochastic differential equation with unbounded drift.

Probability · Mathematics 2018-05-18 C. Olivera , C. Tudor

We quantize a multidimensional $SDE$ (in the Stratonovich sense) by solving the related system of $ODE$'s in which the $d$-dimensional Brownian motion has been replaced by the components of functional stationary quantizers. We make a…

Probability · Mathematics 2013-04-03 Gilles Pagès , Afef Sellami

We study the approximation of SPDEs on the whole real line near a change of stability via modulation or amplitude equations, which acts as a replacement for the lack of random invariant manifolds on extended domains. Due to the…

Probability · Mathematics 2017-11-20 Luigi Amedeo Bianchi , Dirk Blömker

The manifold hypothesis suggests that high-dimensional neural time series lie on a low-dimensional manifold shaped by simpler underlying dynamics. To uncover this structure, latent dynamical variable models such as state-space models,…

Machine Learning · Computer Science 2025-07-30 Pedram Rajaei , Maryam Ostadsharif Memar , Navid Ziaei , Behzad Nazari , Ali Yousefi

We establish a H\"{o}rmander type theorem for the multilinear pseudo-differential operators, which is also a generalization of the results in \cite{MR4322619} to symbols depending on the spatial variable. Most known results for multilinear…

Analysis of PDEs · Mathematics 2023-05-03 Yaryong Heo , Sunggeum Hong , Chan Woo Yang

We consider a class of inverse problems defined by a nonlinear map from parameter or model functions to the data. We assume that solutions exist. The space of model functions is a Banach space which is smooth and uniformly convex; however,…

Functional Analysis · Mathematics 2015-05-30 Maarten V. de Hoop , Lingyun Qiu , Otmar Scherzer

We prove that, under the H\"ormander criterion on an It\^{o} process, all its martingale observables are smooth. As a consequence, we also obtain a generalized Feynman-Kac formula providing smooth solutions to certain PDE boundary-value…

Probability · Mathematics 2026-05-05 Alex Karrila , Lauri Viitasaari

The parabolic integro-differential Cauchy problem with spatially dependent coefficients is considered in generalized Bessel potential spaces where smoothness is defined by L\'evy measures with O-regularly varying profile. The coefficients…

Analysis of PDEs · Mathematics 2023-08-31 Sutawas Janreung , Tatpon Siripraparat , Chukiat Saksurakan

We develop new sub-optimality bounds for gradient descent (GD) that depend on the conditioning of the objective along the path of optimization rather than on global, worst-case constants. Key to our proofs is directional smoothness, a…

Machine Learning · Computer Science 2025-01-15 Aaron Mishkin , Ahmed Khaled , Yuanhao Wang , Aaron Defazio , Robert M. Gower

We study a class of nonlinear Burgers-type stochastic partial differential equations driven by additive space-time white noise in one spatial dimension. Building on the rough path framework initiated by Hairer, which provides a pathwise…

Probability · Mathematics 2026-01-26 Nannan Li , Xing Gao

A H\"ormander-type theorem is established for It\^o processes and related backward stochastic partial differential equations (BSPDEs). A short self-contained proof is also provided for the $L^2$-theory of linear, possibly degenerate BSPDEs,…

Analysis of PDEs · Mathematics 2015-03-23 Jinniao Qiu

The paper deals with the numerical treatment of index-1 stochastic differential-algebraic equations (SDAEs) with nonlinear coefficients that satisfy the local Lipschitz and the Khasminskii conditions. The key challenge here is the presence…

Numerical Analysis · Mathematics 2026-04-16 Guy Tsafack , Antoine Tambue

We prove pathwise uniqueness for an abstract stochastic reaction-diffusion equation in Banach spaces. The drift contains a bounded H\"{o}lder term; in spite of this, due to the space-time white noise it is possible to prove pathwise…

Analysis of PDEs · Mathematics 2012-12-24 Sandra Cerrai , Giuseppe Da Prato , Franco Flandoli

We analyze multi-dimensional mean-field stochastic differential equations where the drift depends on the law in form of a Lebesgue integral with respect to the pushforward measure of the solution. We show existence and uniqueness of…

Probability · Mathematics 2019-12-16 Martin Bauer , Thilo Meyer-Brandis

Malliavin calculus is implemented in the context of [M. Hairer, A theory of regularity structures, Invent. Math. 2014]. This involves some constructions of independent interest, notably an extension of the structure which accomodates a…

Probability · Mathematics 2018-08-08 Giuseppe Cannizzaro , Peter K. Friz , Paul Gassiat

Given a surjective mapping $f : E \to F$ between Banach spaces, we investigate the existence of a subspace $G$ of $E$, with the same density character as $F$, such that the restriction of $f$ to $G$ remains surjective. We obtain a positive…

Functional Analysis · Mathematics 2018-06-28 Richard M. Aron , Jesús A. Jaramillo , Enrico Le Donne