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2023•arXiv (Cornell University)Open access

Existence of density functions for SDEs driven by pure-jump processes

Takuya Nakagawa, Ryoichi Suzuki

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Abstract

We verify the existence of density functions of the running maximum of a stochastic differential equation (SDE) driven by a Brownian motion and a non-truncated stable process. This is proved by the existence of density functions of the running maximum of Wiener-Poisson functionals resulting from Bismut's approach to Malliavin calculus for jump processes.

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We verify the existence of density functions of the running maximum of a stochastic differential equation (SDE) driven by a Brownian motion and a non-truncated stable process. This is proved by the existence of density functions of the running maximum of Wiener-Poisson functionals resulting from Bismut's approach to Malliavin calculus for jump processes.

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Available abstract

We verify the existence of density functions of the running maximum of a stochastic differential equation (SDE) driven by a Brownian motion and a non-truncated stable process. This is proved by the existence of density functions of the running maximum of Wiener-Poisson functionals resulting from Bismut's approach to Malliavin calculus for jump processes.

Key concepts: Malliavin calculus, Stochastic differential equation, Jump, Brownian motion, Mathematics, Jump process, Poisson distribution, Probability density function

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