Yuval Filmus
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 Nov 16 comment Padé approximations of $e$ For the record: I have worked this out already in 2012. If anyone is interested, let me know. Nov 15 comment rational function identity Also on math.se: math.stackexchange.com/questions/4220/…. Nov 8 revised What are some very important papers published in non-top journals? openned -> opened Apr 5 accepted Orthogonal basis for the multilinear polynomials with zero “trace” Apr 5 awarded Revival Apr 5 comment Orthogonal basis for the multilinear polynomials with zero “trace” Qing Xiang and Rafael Plaza pointed me to this paper. Apr 5 answered Orthogonal basis for the multilinear polynomials with zero “trace” Apr 1 comment About expectation norms on graphs Cross-posted on cs.se: cs.stackexchange.com/questions/40929/…. Mar 8 comment About the small set expansion conjecture I think cstheory.se would be a better fit for this question. The OP should also reveal their sources – specifically where the statement "one seems to prove" comes from. Meanwhile, let me just comment that a set of measure $\delta$ is what the OP thinks it is. Feb 5 awarded Necromancer Feb 4 comment Orthogonal basis for the multilinear polynomials with zero “trace” @VladimirDotsenko It's available here: cs.toronto.edu/~yuvalf/WimmerFriedgut.pdf. Feb 3 comment Orthogonal basis for the multilinear polynomials with zero “trace” The conjecture is actually known to be true now. Feb 3 comment Orthogonal basis for the multilinear polynomials with zero “trace” @VladimirDotsenko They are multilinear in the sense that the square of a variable never appears. It's a summation $\sum$ rather than a product $\prod$. The first few vectors are $x_1-x_2$, $x_1+x_2-2x_3$, $x_1+x_2+x_3-3x_4$, and so on. Looks pretty multilinear to me. Moreover, for given $d$, the basis function is a homogeneous degree $d$ polynomial, so in this example, everything is a (homogeneous) linear polynomial. Jul 18 awarded Yearling Jul 2 awarded Curious May 9 comment Orthogonal basis for the multilinear polynomials with zero “trace” @darij I obtained the basis by taking the double cosets corresponding to $\binom{[n]}{k}$, computing Young's orthogonal representation, summing all rows (or all columns), and normalizing to remove all the square roots. I'm not sure that's the same as what you'd get from Young's natural representation, but I didn't check. May 8 asked Orthogonal basis for the multilinear polynomials with zero “trace” Dec 15 comment How can an extremely mathematically talented young person be helped to fulfill his/her potential? I would say that most of history's greatest researchers restricted themselves to one "field" such as physics, chemistry or biology. They might have contributed to more than one area, however. The same can be said about many great mathematicians. Mathematics is vast enough. Dec 14 comment How can an extremely mathematically talented young person be helped to fulfill his/her potential? I'm not worried about the lack of practical use. Not everything has to be measured against being practical. The practical use of novels and poetry is diminishing (unless you're lucky), though literary skills are invaluable in defending criminals; this is no reason to stop aspiring authors. Dec 13 comment How can an extremely mathematically talented young person be helped to fulfill his/her potential? What the kid needs is an appreciation of abstraction. Computing the Jordan forms of 100 matrices isn't going to help with that. S/he needs to see some real mathematics, do some problem solving, develop some toy theories. Even do some calculations on paper. It helps develop intuition.