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Asymptotic expansion of the transition density of the semigroup associated to a SDE driven by Lévy noise. (English) Zbl 1502.35171

Summary: In this work we consider a finite dimensional stochastic differential equation (SDE) driven by a Lévy noise \(L(t)=L_t\), \(t > 0\). The transition probability density \(p_t\), \(t > 0\) of the semigroup associated to the solution \(u_t, t\geqslant 0\) of the SDE is given by a power series expansion. The series expansion of \(p_t\) can be re-expressed in terms of Feynman graphs and rules. We will also prove that \(p_t\), \(t > 0\) has an asymptotic expansion in power of a parameter \(\beta > 0\), and it can be given by a convergent integral.
A remark on some applications will be given in this work.

MSC:

35Q82 PDEs in connection with statistical mechanics
35C20 Asymptotic expansions of solutions to PDEs
81Q30 Feynman integrals and graphs; applications of algebraic topology and algebraic geometry
68T07 Artificial neural networks and deep learning
82C31 Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics
60G51 Processes with independent increments; Lévy processes
60J35 Transition functions, generators and resolvents
35R60 PDEs with randomness, stochastic partial differential equations
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References:

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