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Symmetry and positivity of the rectangular Dirichlet heat operator
Statement
On the two-dimensional rectangular zero-Dirichlet grid of Fully discrete θ heat finite-difference scheme, set , the centered positive heat matrix on interior values defined there, with . In the weighted grid inner product of Rectangular grid and Dirichlet flux stencil, is self-adjoint and positive semidefinite; explicitly,
so for every interior grid vector .
Facts & Assumptions
Given: A finite two-dimensional rectangular grid with positive spacings and directional diffusivities, zero Dirichlet boundary values, and the centered operator and weighted grid inner product defined in Fully discrete θ heat finite-difference scheme and Rectangular grid and Dirichlet flux stencil.
Rectangular grid and Dirichlet flux stencil defines the weighted interior inner product, the edge differences, and the horizontal and vertical sums in the Dirichlet energy.
Discrete summation by parts, Poincaré inequality and inverse bound: for zero-boundary test functions, the rectangular Dirichlet operator satisfies ; the proof obtains this identity by separate horizontal and vertical telescoping sums.
Fully discrete θ heat finite-difference scheme defines the zero-boundary matrix by its centered anisotropic stencil. In the proof set and write and for its horizontal and vertical stencil parts, respectively, so .
Proof
Let and denote the horizontal and vertical summands of from [F1]. The horizontal telescoping calculation and its vertical counterpart in [F2] give the corresponding unweighted directional identities. Multiplying them by and yields and , since all boundary values vanish.
By [F3] and step 1.1, . Each edge sum is symmetric in , so .
Taking in step 2.1 gives . Every summand is a positive mesh weight times a square, and , hence this quantity is nonnegative.
Remarks
No choice axiom is used; the identity is a finite summation-by-parts calculation.
Depends on
Used by
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Sources
- Endre Süli, B6.1 Numerical Solution of Partial Differential Equations: A brief introduction to the theory of finite difference approximation of PDEs (standard reference, not scraped)
- Benjamin Seibold, MIT 18.336, Lecture 14: Von Neumann Stability Analysis (Spring 2009) (standard reference, not scraped)
- Martin Krosche, Hermann G. Matthies, and Oliver Kayser-Herold, Lecture Notes: Introduction to PDEs and Numerical Methods, Technical University Braunschweig, Revision 1.1 (2008), hosted by University of Jyväskylä (standard reference, not scraped)