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Related papers: Poisson imbedding meets the Clark-Ocone formula

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In this paper we first prove a Clark--Ocone formula for any bounded measurable functional on Poisson space. Then using this formula, under some conditions on the intensity measure of Poisson random measure, we prove a variational…

Probability · Mathematics 2009-06-10 Xicheng Zhang

We consider a Poisson process $\eta$ on a measurable space $(\BY,\mathcal{Y})$ equipped with a partial ordering, assumed to be strict almost everwhwere with respect to the intensity measure $\lambda$ of $\eta$. We give a Clark-Ocone type…

Probability · Mathematics 2010-01-25 Guenter Last , Mathew D. Penrose

In this paper Clark-Ocone representation for solution to measure-valued equation with interaction is studied. It is proven that the integrand is absolutely continuous with respect to Lebesgue measure.

Probability · Mathematics 2021-03-09 Jasmina Đorđević , Andrey Dorogovtsev

We give a constructive approach for the study of integral representations of classical solutions to Poisson equations under some integrability conditions on data functions.

Analysis of PDEs · Mathematics 2024-01-10 Aye Chan May , Adisak Seesanea

We introduce and study an alternative form of the chaotic expansion for counting processes using the Poisson imbedding representation; we name this alternative form \textit{pseudo-chaotic expansion}. As an application, we prove that the…

Probability · Mathematics 2022-09-07 Caroline Hillairet , Anthony Reveillac

The Clark-Ocone formula in the theory of discrete-time chaotic calculus holds only for square integrable functionals of discrete-time normal noises. In this paper, we aim at extending this formula to generalized functionals of discrete-time…

Probability · Mathematics 2019-10-01 Caishi Wang , Shuai Lin , Ailing Huang

This paper presents a general method to construct Poisson integrators, i.e., integrators that preserve the underlying Poisson geometry. We assume the Poisson manifold is integrable, meaning there is a known local symplectic groupoid for…

Mathematical Physics · Physics 2024-04-01 Miguel Vaquero , David Martín de Diego , Jorge Cortés

We prove new upper and lower bounds for Banach space-valued stochastic integrals with respect to a compensated Poisson random measure. Our estimates apply to Banach spaces with non-trivial martingale (co)type and extend various results in…

Probability · Mathematics 2013-07-31 Sjoerd Dirksen , Jan Maas , Jan van Neerven

A bosonic Laplacian is a conformally invariant second order differential operator acting on smooth functions defined on domains in Euclidean space and taking values in higher order irreducible representations of the special orthogonal…

Analysis of PDEs · Mathematics 2020-06-30 Chao Ding , John Ryan

Despite the fundamental nature of the inhomogeneous Poisson process in the theory and application of stochastic processes, and its attractive generalizations (e.g. Cox process), few tractable nonparametric modeling approaches of intensity…

Machine Learning · Statistics 2017-06-27 Seth Flaxman , Yee Whye Teh , Dino Sejdinovic

We consider a Poisson process $\eta$ on an arbitrary measurable space with an arbitrary sigma-finite intensity measure. We establish an explicit Fock space representation of square integrable functions of $\eta$. As a consequence we…

Probability · Mathematics 2009-09-18 Guenter Last , Mathew D. Penrose

The classical representation of random variables as the Ito integral of nonanticipative integrands is extended to include Banach space valued random variables on an abstract Wiener space equipped with a filtration induced by a resolution of…

Probability · Mathematics 2008-03-16 E. Mayer-Wolf , M. Zakai

Let $\tilde{N}\_{t}$ be a standard compensated Poisson process on $[0,1]$. We prove a new characterization of anticipating integrals of the Skorohod type with respect to $\tilde{N}$, and use it to obtain several counterparts to well…

Probability · Mathematics 2007-05-23 Giovanni Peccati , Ciprian A. Tudor

Forsstr\"om et al. [8] recently introduced a large class of $\{0,1\}$-valued processes that they named Poisson representable. In addition to deriving several interesting properties for these processes, their main focus was determining which…

Probability · Mathematics 2025-01-27 Stein Andreas Bethuelsen , Malin Palö Forsström

We generalise the Clark-Ocone formula for functions to give analogous representations for differential forms on the classical Wiener space. Such formulae provide explicit expressions for closed and co-closed differential forms and, as a…

Probability · Mathematics 2012-06-27 Yuxin Yang

A simple pseudo-Hamiltonian formulation is proposed for the linear inhomogeneous systems of ODEs. In contrast to the usual Hamiltonian mechanics, our approach is based on the use of non-stationary Poisson brackets, i.e. corresponding…

Quantum Physics · Physics 2009-11-11 V. G. Kupriyanov , S. L. Lyakhovich , A. A. Sharapov

We define an analog of the Poisson integral formula for a family of the non-commutative Lobachevsky spaces. The $q$-Fourier transform of the Poisson kernel is expressed through the $q$-Bessel-Macdonald function.

Quantum Algebra · Mathematics 2007-05-23 M. Olshanetsky , V. Rogov

In this paper, we will establish a discrete-time version of Clark(-Ocone-Haussmann) formula, which can be seen as an asymptotic expansion in a weak sense. The formula is applied to the estimation of the error caused by the martingale…

Probability · Mathematics 2013-09-02 Jirô Akahori , Takafumi Amaba , Kaori Okuma

Using the Laplace derivative a Perron type integral, the Laplace integral, is defined. Moreover, it is shown that this integral includes Perron integral and to show that the inclusion is proper, an example of a function is constructed,…

Classical Analysis and ODEs · Mathematics 2021-06-08 S. Mahanta , S. Ray

We introduce a hull operator on Poisson point processes, the easiest example being the convex hull of the support of a point process in Euclidean space. Assuming that the intensity measure of the process is known on the set generated by the…

Probability · Mathematics 2024-02-02 Günter Last , Ilya Molchanov
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