Timeline for Convex function and weak convergence of measures
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 14, 2017 at 15:32 | history | edited | Nate Eldredge | CC BY-SA 3.0 |
why f is convex
|
| Jan 14, 2017 at 12:38 | comment | added | Dirk | +1 Nitpick: The composition of convex functions is not necessarily convex - the outer one should be increasing. | |
| Jan 14, 2017 at 5:28 | comment | added | Nate Eldredge | Ok, here is a better proof which works the same in infinite dimensions. | |
| Jan 14, 2017 at 5:28 | history | edited | Nate Eldredge | CC BY-SA 3.0 |
better proof, generalize to LCS
|
| Jan 14, 2017 at 4:54 | vote | accept | Sung-En Chiu | ||
| Jan 14, 2017 at 4:40 | comment | added | Sung-En Chiu | My $X$ is the probability simplex in $\mathbb{R}^d$, so this works for me! It's so nice! Didn't expect that convex functions are enough! Thanks a lot! | |
| Jan 14, 2017 at 2:08 | history | answered | Nate Eldredge | CC BY-SA 3.0 |