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We develop a new approach to prove multiplier theorems in various geometric settings. The main idea is to use martingale transforms and a Gundy-Varopoulos representation for multipliers defined via a suitable extension procedure. Along the…

Probability · Mathematics 2021-07-13 Rodrigo Bañuelos , Fabrice Baudoin , Li Chen , Yannick Sire

For regularized distributions we establish stability of the characterization of the normal law in Cramer's theorem with respect to the total variation norm and the entropic distance. As part of the argument, Sapogov-type theorems are…

Probability · Mathematics 2015-04-14 S. G. Bobkov , G. P. Chistyakov , F. Götze

The Peierls argument is a mathematically rigorous and intuitive method to show the presence of a non-vanishing spontaneous magnetization in some lattice models. This argument is typically explained for the $D=2$ Ising model in a way which…

Statistical Mechanics · Physics 2014-03-11 Claudio Bonati

We analyze and partially solve system of recurrences that can be derived from the properties of martingale orthogonal polynomials that characterize quadratic harnesses (QH). We also specify conditions for the existence of moments of one…

Probability · Mathematics 2013-12-18 Paweł J. Szabłowski

In this paper, we obtain stability results for martingale representations in a very general framework. More specifically, we consider a sequence of martingales each adapted to its own filtration, and a sequence of random variables…

Probability · Mathematics 2022-06-06 Antonis Papapantoleon , Dylan Possamai , Alexandros Saplaouras

We define multiple stochastic integrals with respect to c\`{a}dl\`{a}g martingales and prove moment bounds and chaos expansions, which allow to work with them in a way similar to Wiener stochastic integrals. In combination with the…

Probability · Mathematics 2023-03-27 Konstantin Matetski

We prove a version of the multidimensional Fourth Moment Theorem for chaotic random vectors, in the general context of diffusion Markov generators. In addition to the usual componentwise convergence and unlike the infinite-dimensional…

Probability · Mathematics 2015-10-09 Simon Campese , Ivan Nourdin , Giovanni Peccati , Guillaume Poly

In this paper, we prove the existence of martingale solutions of a class of stochastic equations with pseudo-monotone drift of polynomial growth of arbitrary order and a continuous diffusion term with superlinear growth. Both the nonlinear…

Probability · Mathematics 2025-05-28 Bixiang Wang

The existence of global-in-time bounded martingale solutions to a general class of cross-diffusion systems with multiplicative Stratonovich noise is proved. The equations describe multicomponent systems from physics or biology with…

Probability · Mathematics 2020-09-24 Gaurav Dhariwal , Florian Huber , Ansgar Jüngel , Christian Kuehn , Alexandra Neamtu

We establish the existence of solutions to common noise McKean-Vlasov martingale problems for coefficients with low regularity. Our approach is able to handle the key challenge posed by drift coefficients that are discontinuous with respect…

Probability · Mathematics 2025-09-01 Robert Alexander Crowell

We revisit the classical problem of approximating a stochastic differential equation by a discrete-time and discrete-space Markov chain. Our construction iterates Caratheodory's theorem over time to match the moments of the increments…

Probability · Mathematics 2021-11-08 Francesco Cosentino , Harald Oberhauser , Alessandro Abate

We introduce a new notion of "regularity structure" that provides an algebraic framework allowing to describe functions and / or distributions via a kind of "jet" or local Taylor expansion around each point. The main novel idea is to…

Analysis of PDEs · Mathematics 2015-06-15 Martin Hairer

This paper considers the regularized Tyler's scatter estimator for elliptical distributions, which has received considerable attention recently. Various types of shrinkage Tyler's estimators have been proposed in the literature and proved…

Methodology · Statistics 2015-06-22 Ying Sun , Prabhu Babu , Daniel P. Palomar

We first prove a mimicking theorem (also known as a Markovian projection theorem) for the marginal distributions of an Ito process conditioned to not have exited a given domain. We then apply this new result to the proof of a conjecture of…

Probability · Mathematics 2024-09-18 Rene Carmona , Daniel Lacker

We establish a general analytic framework for determining the AF-martingale dimension of diffusion processes associated with strongly local regular Dirichlet forms on metric measure spaces. While previous approaches typically relied on…

Probability · Mathematics 2025-11-14 Masanori Hino

Stability of the value function and the set of minimizers w.r.t. the given data is a desirable feature of optimal transport problems. For the classical Kantorovich transport problem, stability is satisfied under mild assumptions and in…

Optimization and Control · Mathematics 2021-01-19 Martin Brückerhoff , Nicolas Juillet

Given a general It\^o semimartingale, its Markovian projection is an It\^o process, with Markovian differential characteristics, that matches the one-dimensional marginal laws of the original process. We construct Markovian projections for…

Probability · Mathematics 2024-03-26 Martin Larsson , Shukun Long

In this paper, a link between monotonicity of deterministic dynamical systems and propagation of order by Markov processes is established. The order propagation has received considerable attention in the literature, however, this notion is…

Optimization and Control · Mathematics 2015-03-10 Aivar Sootla

We prove the existence and uniqueness of a quasi-stationary distribution for three stochastic processes derived from the model of Muller's ratchet. This model was invented with the aim of evaluating the limitations of an asexual…

Probability · Mathematics 2024-04-02 Mauro Mariani , Etienne Pardoux , Aurélien Velleret

For the $1+1$ dimensional damped stochastic Klein-Gordon equation, we show that random singularities associated with the law of the iterated logarithm exist and propogate in the same way as the stochastic wave equation. This provides…

Probability · Mathematics 2026-05-22 Hongyi Chen , Cheuk Yin Lee