Date of Award
Summer 2014
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Mathematics & Statistics
Program/Concentration
Mathematics and Statistics
Committee Director
Raymond Cheng
Committee Director
Richard Noren
Committee Member
Gordon Melrose
Committee Member
Robert Ash
Call Number for Print
Special Collections; LD4331.C64 H367 2014
Abstract
The first chapter of this thesis concerns the stability and convergence of a numerical method in which the backward Euler method is combined with order one convolution quadrature for approximating the integral term of the linear Volterra integrodifferential equation
u'(t) + ∫t0 β (t--s) Au(s) ds = 0, t ≥ 0, u( 0) = u0,
which arises in the theory of linear viscoelasticity. Here A is a positive self-adjoint densely defined linear operator in a real Hilbert space and β(t) is locally integrable, nonnegative, nonincreasing, convex, with -- β'(t) and β''(t) convex. We establish stability and convergence of the method under these hypotheses on β(t). Thus, the method is stable and convergent for a wider class of kernel functions β(t), than was previously known. We also extend the class of operators A for which the method is stable and convergent. The second chapter of this thesis explores a family of weak parallelogram laws for Banach spaces. Some basic properties of such spaces are obtained. The main result is that a Banach Space satisfies a lower weak parallelogram law if and only if its dual satisfies an associated upper weak parallelogram law, and vice-versa. Connections are established between the weak parallelogram laws and the following: subspaces, quotient spaces, Cartesian products, and the Rademacher type and co-type properties.
Rights
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DOI
10.25777/xv8f-j037
Recommended Citation
Harris, Charles B..
"Uniform l1 Behavior of a Time Discretization Method for a Volterra Integrodifferential Equation with Convex Kernel; Duality of the Weak Parallelogram Laws on Banach Spaces"
(2014). Doctor of Philosophy (PhD), Dissertation, Mathematics & Statistics, Old Dominion University, DOI: 10.25777/xv8f-j037
https://digitalcommons.odu.edu/mathstat_etds/133