Existence of dynamical low rank approximations for random semi-linear evolutionary equations on the maximal interval.

Stoch Partial Differ Equ

Institute of Mathematics, École Polytechnique Fédérale de Lausanne, CSQI, Station 8, CH-1015 Lausanne, Switzerland.

Published: August 2020

An existence result is presented for the dynamical low rank (DLR) approximation for random semi-linear evolutionary equations. The DLR solution approximates the true solution at each time instant by a linear combination of products of deterministic and stochastic basis functions, both of which evolve over time. A key to our proof is to find a suitable equivalent formulation of the original problem. The so-called Dual Dynamically Orthogonal formulation turns out to be convenient. Based on this formulation, the DLR approximation is recast to an abstract Cauchy problem in a suitable linear space, for which existence and uniqueness of the solution in the maximal interval are established.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550577PMC
http://dx.doi.org/10.1007/s40072-020-00177-4DOI Listing

Publication Analysis

Top Keywords

dynamical low
8
low rank
8
random semi-linear
8
semi-linear evolutionary
8
evolutionary equations
8
maximal interval
8
dlr approximation
8
existence dynamical
4
rank approximations
4
approximations random
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!