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.

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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
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article

Characteristic Function of Quadratic Convolution Functional on the Space of Trajectories of Gaussian Processes

Yu. P. Virchenko, А. С. Мазманишвили
2 citations
Lobachevskii Journal of Mathematics
Gaussian Processes and Bayesian Inference
0.69
article

Characteristic Function of Quadratic Convolution Functional on the Space of Trajectories of Gaussian Processes

Yu. P. Virchenko, А. С. Мазманишвили
article en
2 citations

Abstract

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.

Lobachevskii Journal of MathematicsVol. 45(11)
Belgorod National Research University (RU), Kharkiv Institute of Physics and Technology (UA), Belgorod State Technological University (RU), National Technical University "Kharkiv Polytechnic Institute" (UA)
Reduced inequalities
Openalex Percentile: Top 22%
Gaussian Processes and Bayesian Inference
0.69
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