Timeline for A matrix norm inequality
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| Mar 7, 2016 at 2:22 | comment | added | Suvrit | @M.Lin :-) it looked very much like a log-majorization. I'm wondering though how to "unwind" this in a manner related to Wolfgang's comment (and your reply to it).... | |
| Mar 7, 2016 at 0:54 | comment | added | M. Lin | Hmm, you knew that my question is equivalent to a log-majorization version. | |
| Mar 7, 2016 at 0:51 | comment | added | M. Lin | Thanks. I knew this case, which is an evidence in my mind before i ran simulations for the general 0<p<1/2. $\|A^{1/2}B^{1/2}\|^2$ is equal to the largest eigenvalue of $AB$, which is no larger than $\|AB\|$. | |
| Mar 6, 2016 at 15:01 | history | edited | Suvrit | CC BY-SA 3.0 |
fixed a typo in the main ineq.
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| Mar 6, 2016 at 14:46 | history | answered | Suvrit | CC BY-SA 3.0 |