Convex Variational Problems - Linear, Nearly Linear and Anisotropic Growth Conditions

The author emphasizes a non-uniform ellipticity condition as the main approach to regularity theory for solutions of convex variational problems with different types of non-standard growth conditions.
This volume first focuses on elliptic variational problems with linear growth conditions. Here the notion of a "solution" is not obvious and the point of view has to be changed several times in order to get some deeper insight. Then the smoothness properties of solutions to convex anisotropic variational problems with superlinear growth are studied. In spite of the fundamental differences, a non-uniform ellipticity condition serves as the main tool towards a unified view of the regularity theory for both kinds of problems.

List of contents

1. Introduction.- 2. Variational problems with linear growth: the general setting.- 3. Variational integrands with ($,mu ,q$)-growth.- 4. Variational problems with linear growth: the case of $mu $-elliptic integrands.- 5. Bounded solutions for convex variational problems with a wide range of anisotropy.- 6. Anisotropic linear/superlinear growth in the scalar case.- A. Some remarks on relaxation.- B. Some density results.- C. Brief comments on steady states of generalized Newtonian fluids.- D. Notation and conventions.- References.- Index.

Product details

• Authors: M. Bildhauer, Michael Bildhauer
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 20.06.2003
• EAN: 9783540402985
• ISBN: 978-3-540-40298-5
• No. of pages: 220
• Dimensions: 156 mm x 239 mm x 10 mm
• Weight: 388 g
• Illustrations: XII, 220 p.
• Series: Lecture Notes in Mathematics
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous; B, Optimization, Differentialrechnung und -gleichungen, Mathematics and Statistics, Partial Differential Equations, Differential calculus & equations, Differential equations, Calculus of Variations and Optimization, Calculus of variations, Calculus of Variations and Optimal Control; Optimization