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Related papers: Flows and stochastic Taylor series in Ito calculus

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Stochastic normalizing flows are a class of deep generative models that combine normalizing flows with Monte Carlo updates and can be used in lattice field theory to sample from Boltzmann distributions. In this proceeding, we outline the…

High Energy Physics - Lattice · Physics 2022-10-10 Michele Caselle , Elia Cellini , Alessandro Nada , Marco Panero

Martingales constitute a basic tool in stochastic analysis; this paper considers their application to counting processes. We use this tool to revisit a renewal theorem and its extensions for various counting processes. We first consider a…

Probability · Mathematics 2018-12-27 Daryl J. Daley , Masakiyo Miyazawa

The article is devoted to optimization of the mean-square approximation procedures for iterated Ito stochastic integrals of multiplicities 1 to 5. The mentioned stochastic integrals are part of strong numerical methods with convergence…

Probability · Mathematics 2022-08-19 Mikhail D. Kuznetsov , Dmitriy F. Kuznetsov

By using a simple observation that the density processes appearing in Ito's martingale representation theorem are invariant under the change of measures, we establish a non-linear version of the Cameron-Martin formula for solutions of a…

Probability · Mathematics 2010-11-16 G. Liang , A. Lionnet , Z. Qian

We consider a class of functions for which the multiple Stratonovich stochastic integral or equivalent iterated Stratonovich stochastic integral with square integrable weights is defined by the orthogonal expansion. The equality of the…

Probability · Mathematics 2025-11-17 Konstantin A. Rybakov

Functional It\^o calculus was introduced in order to expand a functional $F(t, X\_{\cdot+t}, X\_t)$ depending on time $t$, past and present values of the process $X$. Another possibility to expand $F(t, X\_{\cdot+t}, X\_t)$ consists in…

Probability · Mathematics 2015-05-15 Andrea Cosso , Francesco Russo

Stochastic differential equations and the associated partial differential equations are the cornerstone formalism in stochastic control problems. The universality of bilinear stochastic systems can be found in autonomous systems, non-linear…

Optimization and Control · Mathematics 2019-10-31 Sandhya Rathore , Shambhu Nath Sharma , Dani Juricic

This paper compares two basic approaches to solving ordinary differential equations, which form the basis for attitude computation in strapdown inertial navigation systems, namely, the Taylor series expansion approach that was used in its…

Numerical Analysis · Mathematics 2021-09-21 Yuanxin Wu , Yury A. Litmanovich

If we take a superintegrable Stackel system and make variables "faster" or "slower", that is equivalent to a trivial transformation of the Stackel matrix and potentials, then we obtain an infinite family of superintegrable systems with…

Exactly Solvable and Integrable Systems · Physics 2019-05-22 A. V. Tsiganov

In this article we develop a method for the strong approximation of stochastic differential equations (SDEs) driven by L\'evy processes or general semimartingales. The main ingredients of our method is the perturbation of the SDE and the…

Probability · Mathematics 2015-03-13 Antonis Papapantoleon , Maria Siopacha

In the paper, the law of the iterated logarithm for additive functionals of Markov chains is obtained under some weak conditions, which are weaker than the conditions of invariance principle of additive functionals of Markov chains in M.…

Probability · Mathematics 2007-05-23 Yu Miao , Guangyu Yang

We consider versions of Malliavin calculus on path spaces of compact manifolds with diffusion measures, defining Gross-Sobolev spaces of differentiable functions and proving their intertwining with solution maps, I, of certain stochastic…

Probability · Mathematics 2016-11-14 K. D. Elworthy , Xue-Mei Li

Poincare's invariance principle for Hamiltonian flows implies Kelvin's principle for solution to Incompressible Euler Equation. Iyer-Constantin Circulation Theorem offers a stochastic analog of Kelvin's principle for Navier-Stokes Equation.…

Probability · Mathematics 2013-11-01 Fraydoun Rezakhanlou

When a Brownian motion is scaled according to the law of the iterated logarithm, its supremum converges to one as time tends to zero. Upper large deviations of the supremum process can be quantified by writing the problem in terms of…

Probability · Mathematics 2019-03-05 Stefan Gerhold , Christoph Gerstenecker

The article is devoted to the expansion of iterated Stratonovich stochastic integrals of arbitrary multiplicity $k$ $(k\in\mathbb{N})$ based on the generalized iterated Fourier series converging pointwise. The case of Fourier-Legendre…

Probability · Mathematics 2026-02-17 Dmitriy F. Kuznetsov

The moderate deviation principle is achieved for a stochastic Schrodinger type equation by applying the classical Azencott method. The Friedlin-Wentzell inequality derived by this method is then used to prove the Strassen's compact law of…

Analysis of PDEs · Mathematics 2024-07-15 Parisa Fatheddin

We extend the It\^o-Wentzell formula for the evolution of a time-dependent stochastic field along a semimartingale to $k$-form-valued stochastic processes. The result is the Kunita-It\^o-Wentzell (KIW) formula for $k$-forms. We also…

Probability · Mathematics 2020-03-18 Aythami Bethencourt de Léon , Darryl Holm , Erwin Luesink , So Takao

We generalize the results of Ambrosio [Invent. Math. 158 (2004), 227--260] on the existence, uniqueness and stability of regular Lagrangian flows of ordinary differential equations to Stratonovich stochastic differential equations with BV…

Probability · Mathematics 2013-04-25 Huaiqian Li , Dejun Luo

We provide a rather general perfection result for crude local semi-flows taking values in a Polish space showing that a crude semi-flow has a modification which is a (perfect) local semi-flow which is invariant under a suitable metric…

Probability · Mathematics 2021-09-02 Chengcheng Ling , Michael Scheutzow , Isabell Vorkastner

Using time-reversal, we introduce a stochastic integral for zero-energy additive functionals of symmetric Markov processes, extending earlier work of S. Nakao. Various properties of such stochastic integrals are discussed and an It\^{o}…

Probability · Mathematics 2012-05-29 Z. -Q. Chen , P. J. Fitzsimmons , K. Kuwae , T. -S. Zhang