Timeline for Growth of eigenvalues for certain sequences of matrices
Current License: CC BY-SA 4.0
13 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Dec 5, 2020 at 22:25 | vote | accept | Zestylemonzi | ||
S Dec 5, 2020 at 22:25 | history | bounty ended | Zestylemonzi | ||
S Dec 5, 2020 at 22:25 | history | notice removed | Zestylemonzi | ||
Dec 1, 2020 at 15:30 | answer | added | Fabian Wirth | timeline score: 1 | |
S Dec 1, 2020 at 14:35 | history | bounty started | Zestylemonzi | ||
S Dec 1, 2020 at 14:35 | history | notice added | Zestylemonzi | Draw attention | |
Dec 1, 2020 at 14:35 | history | edited | Zestylemonzi | CC BY-SA 4.0 |
added 8 characters in body
|
Dec 1, 2020 at 14:26 | history | edited | Zestylemonzi | CC BY-SA 4.0 |
added 63 characters in body
|
Nov 30, 2020 at 14:57 | comment | added | user35593 | yes it only works for $t\rightarrow -\infty$ sorry | |
Nov 30, 2020 at 13:39 | comment | added | Zestylemonzi | Thanks for your reply, but I'm confused by your comment - the expression $\Lambda(A_{e^t})=e^t\Lambda(B) + O(e^{2t})$ is an asymptotic expression where the "error term" $e^{2t}$ is larger than the "lead term" $e^t$ as $t \to\infty$. | |
Nov 30, 2020 at 13:09 | comment | added | user35593 | We have $A_t=tB+O(t^2)$. Then we have $\Lambda(A_{e^t})=e^t\Lambda(B)+O(e^{2t})$. Hence $log \Lambda(A_{e^t})=t+log(\Lambda(B))+O(e^{t})$. Hence if $B\neq 0$, $\alpha_2=1$ and error is $log(\Lambda(B))$. | |
Nov 30, 2020 at 11:16 | history | edited | Zestylemonzi | CC BY-SA 4.0 |
added 283 characters in body
|
Nov 26, 2020 at 23:22 | history | asked | Zestylemonzi | CC BY-SA 4.0 |