Timeline for When minimum of two supporting functionals of convex bodies is convex?
Current License: CC BY-SA 3.0
10 events
when toggle format | what | by | license | comment | |
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S Jun 19, 2017 at 9:30 | history | suggested | Martin Sleziak | CC BY-SA 3.0 |
MathJax: \langle, \rangle
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Jun 19, 2017 at 9:02 | review | Suggested edits | |||
S Jun 19, 2017 at 9:30 | |||||
Jun 19, 2017 at 7:26 | vote | accept | asv | ||
Jun 19, 2017 at 6:31 | answer | added | Fedor Petrov | timeline score: 10 | |
Jun 19, 2017 at 5:47 | comment | added | asv | @IvanIzmestiev : I still think the post is correct. You are right that $\max\{h_A,h_B\}$ is always convex. But the point is that if the union of the sets is convex then $\min\{h_A,h_B\}$ is also convex because it is equal to the supporting functional $h_{A\cap B}$ of the intersection. | |
Jun 18, 2017 at 20:09 | comment | added | Ivan Izmestiev | It seems to me that one should take maximum instead of minimum. (The supremum of union of two sets is the maximum of two suprema.) The maximum of two convex functions is always convex, and the maximum of two support functions is the support function of the convex envelope of the union. By the way, the support function of the intersection has quite a complicated description, see Remark 3 to Chapter 1.8 of Schneider's "Brunn-Minkowski theory". | |
Jun 18, 2017 at 18:47 | comment | added | asv | @ChristianRemling No, I did not mix them up. I did not find an answer to my question in your link. | |
Jun 18, 2017 at 16:09 | history | edited | asv | CC BY-SA 3.0 |
edited title
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Jun 18, 2017 at 14:52 | history | edited | asv | CC BY-SA 3.0 |
deleted 1 character in body
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Jun 18, 2017 at 14:09 | history | asked | asv | CC BY-SA 3.0 |