NDLI: Conditioning Analysis of Nonlocal Integral Operators in Fractional Sobolev Spaces

Content Provider	Society for Industrial and Applied Mathematics (SIAM)
Author	Aksoylu, Burak Unlu, Zuhal
Copyright Year	2014
Abstract	We study the conditioning of nonlocal integral operators with singular and integrable kernels in fractional Sobolev spaces. These operators are used, for instance, in peridynamics formulation and nonlocal diffusion. In one dimension (1D), we present sharp quantification of the extremal eigenvalues in all three parameters: size of nonlocality, mesh size, and regularity of the fractional Sobolev space. We accomplish sharpness both rigorously and numerically. For the minimal eigenvalue, we obtain sharpness analytically by using a nonlocal characterization of Sobolev spaces. We verify this estimate by exploiting the Toeplitz property of the stiffness matrix. However, the analytical approach fails to give sharp quantification of the maximal eigenvalue. Hence, in 1D, we take an algebraic approach by directly working with the stiffness matrix entries, which have complicated expressions due to all three parameters. We systematically characterize the nonzero entries and dramatically simplify their expressions by using convenient algebra. We establish the zero row sum property of the stiffness matrix and negativity of the off-diagonal entries. Eventually, we arrive at sharpness through the use of the Gerschgorin circle theorem.
Starting Page	653
Ending Page	677
Page Count	25
File Format	PDF
ISSN	00361429
DOI	10.1137/13092407X
e-ISSN	10957170
Issue Number	2
Volume Number	52
Language	English
Publisher	Society for Industrial and Applied Mathematics
Publisher Date	2014-03-18
Access Restriction	Subscribed
Subject Keyword	nonlocal operators Nonlocal and multipoint boundary value problems nonlocal diffusion Toeplitz matrix Linear integral equations Matrix norms, conditioning, scaling condition number peridynamics the Gerschgorin circle theorem preconditioning
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Numerical Analysis Computational Mathematics

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