Characteristic Function of Quadratic Convolution Functional on the Space of Trajectories of Gaussian Processes
The method for calculation of the characteristic functions $$Q(-i\lambda)$$ and $$\lambda\in\mathbb{R}$$ of random value defined by quadratic functionals $$\mathsf{J}[x]$$ on the space $$\mathbb{L}_{2}[0,T]$$ of trajectories $$x(t)$$ of gaussian random processes is proposed. The functional representing the convolution of the function $$x(t)$$ on the segment $$[0,T]$$ is under consideration. The general formula for the Fredholm determinant corresponding such characteristic functions is found. By the generalization of the reconstruction method, the calculation of the function $$Q(-i\lambda)$$ connected with the convolution functional $$\mathsf{J}[x]$$ is fulfilled. In a result, in the case when $$\{x(t)$$ ; $$t\in[0,T]\}$$ is the Ornstein–Uhlenbeck process, the formula of $$Q(-i\lambda)$$ is obtained.
Authors
- Yu. P. Virchenko
- А. С. Мазманишвили
Institutions
- Belgorod National Research University (RU)
- Kharkiv Institute of Physics and Technology (UA)
- Belgorod State Technological University (RU)
- National Technical University "Kharkiv Polytechnic Institute" (UA)
Publication Details
- Journal
- Lobachevskii Journal of Mathematics
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1134/s1995080224606556
- Citations
- 2
- Primary Topic
- Gaussian Processes and Bayesian Inference
- Type
- article
- Field-Weighted Citation Impact
- 0.69