Timeline for Symmetry Properties of Minimizers - Calculus of Variations
Current License: CC BY-SA 3.0
14 events
| when toggle format | what | by | license | comment | |
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| S Oct 15, 2013 at 21:01 | history | bounty ended | CommunityBot | ||
| S Oct 15, 2013 at 21:01 | history | notice removed | CommunityBot | ||
| Oct 14, 2013 at 20:09 | vote | accept | warsaga | ||
| Oct 10, 2013 at 22:24 | answer | added | Otis Chodosh | timeline score: 2 | |
| Oct 10, 2013 at 13:51 | answer | added | Liviu Nicolaescu | timeline score: 2 | |
| Oct 8, 2013 at 5:51 | answer | added | Kelei Wang | timeline score: 4 | |
| S Oct 7, 2013 at 20:01 | history | bounty started | warsaga | ||
| S Oct 7, 2013 at 20:01 | history | notice added | warsaga | Draw attention | |
| Oct 7, 2013 at 19:52 | history | edited | warsaga | CC BY-SA 3.0 |
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| Oct 7, 2013 at 13:29 | comment | added | Igor Khavkine | A bilinear functional is convex as long as it is positive definite. Moreover, the sum of two convex functions is convex. | |
| Oct 7, 2013 at 10:50 | comment | added | warsaga | What can you say if the functional is a sum of a convex part and a bilinear one? | |
| Oct 6, 2013 at 22:46 | comment | added | Igor Khavkine | Convexity? If the minimizer exists and is unique, it has maximal symmetry. Convexity (or perhaps "strict" convexity) gives you a unique minimizer. | |
| Oct 6, 2013 at 16:34 | history | edited | warsaga | CC BY-SA 3.0 |
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| Oct 5, 2013 at 13:57 | history | asked | warsaga | CC BY-SA 3.0 |