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JOURNALS // Itogi Nauki i Tekhniki. Sovremennaya Matematika i ee Prilozheniya. Tematicheskie Obzory // Archive

Itogi Nauki i Tekhniki. Sovrem. Mat. Pril. Temat. Obz., 2023 Volume 225, Pages 38–58 (Mi into1186)

Kac–Siegert formula for oscillatory random processes

Yu. P. Virchenkoab, A. S. Mazmanishvilic

a Belgorod Shukhov State Technological University
b Belgorod State University
c National Science Centre Kharkov Institute of Physics and Technology

Abstract: A general scheme for calculating the characteristic functions of random variables represented by quadratic functionals of the trajectories of elementary Gaussian processes based on the Feynman—Kac method is described. This scheme is applied to the oscillatory random process $\langle{\tilde x}(t)$, $t \in {\Bbb R}\rangle$. The characteristic function $Q(-i\lambda,t)$ of the random variable $\mathsf{J}_t[{\tilde x}(s)]=\int_0^t (d {\tilde x}(s)/ds )^2 ds$ of its random trajectories ${\tilde x}(t)$ is calculated.

Keywords: oscillatory random process, matrix Riccati equation, white noise, Kolmogorov equation, characteristic function.

UDC: 519.218.7

MSC: 60H10, 60G15, 60G35

DOI: 10.36535/0233-6723-2023-225-38-58



© Steklov Math. Inst. of RAS, 2024