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Conditioning Gaussian measure on Hilbert space

Owhadi, Houman and Scovel, Clint (2015) Conditioning Gaussian measure on Hilbert space. . (Submitted) https://resolver.caltech.edu/CaltechAUTHORS:20160224-065740350

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Abstract

For a Gaussian measure on a separable Hilbert space with covariance operator C, we show that the family of conditional measures associated with conditioning on a closed subspace S^⊥ are Gaussian with covariance operator the short S(C) of the operator C to S. We provide two proofs. The first uses the theory of Gaussian Hilbert spaces and a characterization of the shorted operator by Andersen and Trapp. The second uses recent developments by Corach, Maestripieri and Stojanoff on the relationship between the shorted operator and C-symmetric oblique projections onto S^⊥. To obtain the assertion when such projections do not exist, we develop an approximation result for the shorted operator by showing, for any positive operator A, how to construct a sequence of approximating operators A^n which possess A^n- symmetric oblique projections onto S^⊥ such that the sequence of shorted operators S(A^n) converges to S(A) in the weak operator topology. This result combined with the martingale convergence of random variables associated with the corresponding approximations C^n establishes the main assertion in general. Moreover, it in turn strengthens the approximation theorem for shorted operator when the operator is trace class; then the sequence of shorted operators S(A^n) converges to S(A) in trace norm.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
http://arxiv.org/abs/1506.04208arXivDiscussion Paper
ORCID:
AuthorORCID
Owhadi, Houman0000-0002-5677-1600
Scovel, Clint0000-0001-7757-3411
Additional Information:(Submitted on 13 Jun 2015 (v1), last revised 1 Sep 2015 (this version, v2)). September 2, 2015. The authors gratefully acknowledge this work supported by the Air Force Office of Scientific Research under Award Number FA9550-12-1-0389 (Scientific Computation of Optimal Statistical Estimators).
Funders:
Funding AgencyGrant Number
Air Force Office of Scientific Research (AFOSR)FA9550-12-1-0389
Record Number:CaltechAUTHORS:20160224-065740350
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20160224-065740350
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:64709
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:24 Feb 2016 18:18
Last Modified:03 Oct 2019 09:40

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