Abstract

Various methods to derive new formulas for the Laplace transforms of some quadratic forms of Gaussian sequences are discussed. In the general setting, an approach based on the resolution of an appropriate auxiliary filtering problem is developed; it leads to a formula in terms of the solutions of Volterra‐type recursions describing characteristics of the corresponding optimal filter. In the case of Gauss‐Markov sequences, where the previous equations reduce to ordinary forward recursive equations, an alternative approach prices another formula; it involves the solution of a backward recursive equation. Comparing the different formulas for the Laplace transforms, various relationships between the corresponding entries are identified. In particular, relationships between the solutions of matched forward and backward Riccati equations are thus proved probabilistically; they are proved again directly. In various specific cases, a further analysis of the concerned equations lead to completely explicit formulas for the Laplace transform.

Highlights

  • Quadratic functionals of Gaussian processes have attracted a great deal of interest over the past decades

  • It is worth mentioning that identities (6) and (7) say that one may compute the determinant and quadratic form appearing in the left-hand sides by applying procedures (4) and (5)

  • An an immediate consequence of the filtering approach developed in Section 2, we get a second formula for the Ltqf

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Summary

Introduction

Quadratic functionals of Gaussian processes have attracted a great deal of interest over the past decades. We concentrate on Laplace transforms of quadratic forms (Ltqf, for short) of Gaussian sequences. The auxiliary results, which are themselves of independent interest, are investigated in Appendices A and B: the filtering problem introduced in Section 2 is solved and identities connected with the Riccati equations are proved again directly

Ltqf of Arbitrary Gaussian Sequences - A Filtering Approach
Ltqf of Gauss-Markov Sequences - Two Approaches
Forward Approach
Backward Approach
Matched Riccati Recursive Equations
Particular Cases
Homogeneous First Order Autoregressive Processes
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