Tuesday, October 7, 2014 at 3:00 PM in SAS 4201
Hongkai Zhao, University of California, Irvine
Approximate Separability of Greens Function for Helmholtz Equation in the High Frequency Limit
Approximate separable representations of Greens functions for differential operators is a basic and important question in the analysis of differential equations, the development of efficient numerical algorithms and imaging. Being able to approximate a Greens function as a sum with few separable terms is equivalent to low rank properties of corresponding numerical solution operators. This will allow for matrix compression and fast solution techniques. Greens functions for coercive elliptic differential operators have been shown to be highly separable and the resulting low rank property for discretized system was explored to develop efficient numerical algorithms. However, the case of Helmholtz equation in the high frequency limit is more challenging both mathematically and numerically. We introduce new tools based on the study of relations between two Greens functions with different source points and a tight dimension estimate for the best linear subspace approximating a set of almost orthogonal vectors to prove new lower bounds for the number of terms in the representation for the Greens function for Helmholtz operator in the high frequency limit. Upper bounds are also derived. We give explicit sharp estimates for cases that are common in practice and present numerical examples. This is a joint work with Bjorn Engquist.
Tuesday, November 4, 2014 at 3:00 PM in SAS 4201
Stuart Slattery, Oak Ridge National Laboratory
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