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Machinato's user avatar
Machinato
  • Member for 9 years, 7 months
  • Last seen more than a month ago
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Determinant of the random matrix $X^2+Y^2$
Magic! I have never seen anything like this before. This calculus feels like real magic. Are there any books on the usage of this technique? Especially on random determinants.
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Generating function of the product of Legendre polynomials
see this post of mine math.stackexchange.com/a/4699090/240067, when I have time, I can provide with the derivation. It's relatively straightforward
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A simple proof for a theorem of Szekeres and Turán
Apart of combinatorial proof discussed above, one can prove the fourth moment formula by expanding the determinant wrt one row and then find recurrence relations
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The expected square of the determinant of a random row stochastic matrix
Does it imply that since the density of $Z$ depends actually on any strictly monotone function $ g(\left \| Z \right \|_2)$, so the pair of random variables $Z/g(\left \| Z \right \|_2)$ and $g(\left \| Z \right \|_2)$ are independent as well?
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The expected square of the determinant of a random row stochastic matrix
I haven't understood why $(X_1,\ldots ,X_n)$ is independent from $S = Y_1 + \cdots + Y_n$ ?
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Expected value of determinant of simple infinite random matrix
the expected value of $\operatorname{det}(A)^4$ can also be expressed exactly (in terms of its generation function)
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Expected determinant of a random NxN matrix
How exactly was the Gaussian elimination carried over? I mean how can one get from (-1,+1) ran. matrix to another (0,1) ran. matrix
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Expected value of determinant of simple infinite random matrix
@Stanley After more than a year of (from time to time) trying to tackle the poblem, I have finally concluded it cannot be done this way. It is, however, rather strange. Nyquist (1954) derived an almost general formula for E[det^4 A]. However, his entries are symetrical random variables (the case of all $\pm 1$ matrices belongs here! you can even assign some probability $p$ that the entries are zero). Somehow, however, there is no such formula for the case when the A's entries are general iid random variables.
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Expected determinant of a random NxN matrix
@Gil Kalai which Turan's paper does contain the formula for E[(detA)^4]?
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Expected value of determinant of simple infinite random matrix
It is possible to do a similar derivation of the expected value for higher even powers of detA?
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Interesting triple integral
I have to apologize for adding and answer so late, I was in the meantime studying at uni so I forgot where this page was until now, the answer is I think according to same approach that the integral diverges to infinity. The terms will not cancel out.
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Proofs without words
However, this could be a nice proof of $\int_{0}^{\pi/2}\sin^2 x\,\mathrm{d}x = \int_{0}^{\pi/2}\cos^2 x\,\mathrm{d}x = \frac{1}{2}\left(\frac{\pi}{2}\cdot 1\right)$
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Proofs without words
This proof is actually known to Archimedes and used in his Quadrature of the Parabola en.wikipedia.org/wiki/1/4_%2B_1/16_%2B_1/64_%2B_1/…
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Interesting triple integral
Correcting spaces
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