Error Estimates for Degenerate Parabolic Equations by Yabin Fan
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Explore error estimates for degenerate parabolic equations in this CASA Seminar outline, covering weak solutions, regularization, and theorems for numerical solutions.
Error Estimates for Degenerate Parabolic Equations by Yabin Fan
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Presentation Transcript
Error estimates for degenerate parabolic equation Yabin Fan CASA Seminar, 21.05.2008
Outline • Introduction • Weak solution • Regularization • Error estimates • Summary
Introduction 1 • Problem P in in on , an increasing function , bounded domain in Rd , Lipschtiz continuous boundary. T, a fixed finite time.
Introduction 2 • may be zero at some point, then will blow up. • u lacks regularity ,consider instead. • regularize , take , make larger than some positive constant.
Weak solution • Classical solution, hard to find, even impossible. • Weak solution : u is called a weak solution of problem P iff , , And for all the following equation holds true.
Regularization 1 • In this talk, we give some assumptions about the problem P (A1). is Lipschitz and differentiable, (A2). and . (A3). f is continuous and satisfies for any
Regularization 2 When solving the equation numerically, we take instead of . Originally, we discretize u as for k = 1,2 …n. Here uk approximates the solution at the time tk = k , where is the time step.
Regularization 3 Instead, we consider the following scheme for k =1,…n with .
Regularization 4 • Weak form of the scheme (Problem WP) Given , find such that for all , the following equation holds
Error estimates 1 • Some elementary identities to be used. Here
Error estimates 2 Theorem 1 (apriori estimate): Assume (A1), (A2) and (A3). Then for , if solves WP, we have
Error estimates 3 Notation: For any is integrable in time, define Errors:
Error estimate 4 Theorem 2: Assume (A1)-(A3). If u is the weak solution and solves WP, then where for and k=1,…n. ( )
Error estimates 5 Proof : denotes the Green Operator defined by we have
Summary • Degenerate parabolic equation, weak solution, estimates, convergent. • Other numerical methods, similar results.
Thank you for attention!! Questions?