|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
From Ornstein's non-inequalities to rank-one convexity
If you have a question about this talk, please contact Filip Rindler.
Questions about sharp integral estimates for partial derivatives of mappings can often be recast as questions about quasiconvexity of associated integrands. Quasiconvexity was introduced by Morrey in his work on weak lower semicontinuity in the Calculus of Variations. It is by now recognized as a central notion within the Calculus of Variations, but it remains somewhat mysterious. A closely related notion is that of rank-one convexity. Rank-one convexity is a necessary condition for quasiconvexity, and it is easy to check whether or not a given integrand is rank-one convex. Unfortunately, rank-one convexity is not equivalent to quasiconvexity. An example of Sverak shows that, in high dimensions, there exists a quartic polynomial that is rank-one convex but not quasiconvex. However, it is still plausible that rank-one convexity could be equivalent to quasiconvexity within more restricted classes of integrands. An interesting class being the positively one homogeneous integrands. Their quasiconvexity properties correspond to L1-estimates.
In this talk I briefly review the convexity notions from the Calculus of Variations. I then show how the above viewpoint can be used to give a proof, and a generalization, of Ornstein’s non-L1-inequalities.
This talk is part of the Geometric Analysis and Partial Differential Equations seminar series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsThe Welding & Joining Society The Marshall Society CSaP Professional Development Policy Seminars
Other talksCafé Synthetique Circuit adaptations underlying drug addiction: mechanisms and therapeutic implications Games Animals Play On a Generalization of the Revision-theoretic Approach to Strategic Rationality Epigenetics, Obesity and Metabolism LARMOR LECTURE - Dicing with fate: the statistical physics of stem cell biology