Mark Meckes
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 Apr 9 comment Undergraduate ODE textbook following Rota You sound as though you were surprised to learn that you'll be teaching undergraduate ODEs. If so, you've been badly misled about something. Apr 9 comment Undergraduate ODE textbook following Rota My department uses the BDH book. It has its detractors, but it fits Rota's advice pretty well, which is one (or ten?) of the reasons I personally like it. Apr 9 comment Undergraduate ODE textbook following Rota @lenticcatachresis en.wikipedia.org/wiki/Word_problem_(mathematics_education) Feb 4 comment multivariate Gaussian approximation in total variation distance Incidentally, the OP's question suggests that they might be familiar with arxiv.org/abs/math/0606073, from which you can see that I know perfectly well that Stein's method can be used to derive total variation bounds. Feb 4 comment multivariate Gaussian approximation in total variation distance @Guillaume: You seem to have misread what I wrote. What I said is that total variation approximation is simply false without some kind of additional assumptions, so it is equally out of reach for any method. This is the kind of "impossibility result" the OP asked about. On the other had, if you do have appropriate additional assumptions, then Stein's method is often the best way to reach total variation bounds. Jan 16 awarded Custodian Jan 16 reviewed Approve A min-max formula for depth of the origin in a convex set Jan 6 awarded Nice Answer Jan 6 awarded Good Answer Dec 1 awarded Good Question Oct 22 awarded Yearling Sep 16 awarded Notable Question Jul 24 revised Do subgaussian variables obey the slightly-stronger-than-Chernoff tail bound? Fixed inequalities. Jul 23 answered Do subgaussian variables obey the slightly-stronger-than-Chernoff tail bound? Jul 20 answered Extending GUE to a measure on operators? Jul 6 awarded Good Question Jun 30 comment Kullback Leibler “variance”: does that divergence have a name? I haven't seen exactly this quantity considered, but something related is studied here (see in particular the discussion after Theorem 1.1): projecteuclid.org/euclid.aop/1312555807 Jun 30 comment Shared maximum eigenvector For an appropriate interpretation of the question, at least. The OP said $v$ is "the" eigenvector associated to the maximum eigenvalue of $A$, but if the eigenspace is not 1-dimensional you may need to replace $v$ with another eigenvector. May 27 comment Higher Moments, what are they good for? Essentially the same question was asked and answered here: stats.stackexchange.com/questions/2893/… May 27 comment Describe the desired features of a “Mathematics Colloquium”? A former department chair of mine used to say that if you asked colloquium speakers to prepare talks appropriate for undergraduates, then there was a chance some of the faculty would understand.