On the eigenproblem for Gaussian bridges
P. Chigansky, M. Kleptsyna, D. Marushkevych

TL;DR
This paper investigates the spectral properties of Gaussian bridges derived from base processes, providing asymptotic results for their eigenvalues, including for fractional Brownian motion.
Contribution
It offers new insights into the eigenproblem for Gaussian bridges, linking the spectrum of the bridge to that of the base process asymptotically.
Findings
Asymptotic spectral characterization for Gaussian bridges
Results applicable to fractional Brownian motion
Enhanced understanding of covariance operator spectra
Abstract
Spectral decomposition of the covariance operator is one of the main building blocks in the theory and applications of Gaussian processes. Unfortunately it is notoriously hard to derive in a closed form. In this paper we consider the eigenproblem for Gaussian bridges. Given a {\em base} process, its bridge is obtained by conditioning the trajectories to start and terminate at the given points. What can be said about the spectrum of a bridge, given the spectrum of its base process? We show how this question can be answered asymptotically for a family of processes, including the fractional Brownian motion.
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis · Financial Risk and Volatility Modeling
