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Yoav Kallus's user avatar
Yoav Kallus's user avatar
Yoav Kallus's user avatar
Yoav Kallus
  • Member for 12 years, 11 months
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Constraint optimization problem for any dimensionality $n>1$.
I have no idea what your objection means.
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Constraint optimization problem for any dimensionality $n>1$.
In no particular order: take the discrete Fourier transform; read the faq; ask on math.stackexchange.com
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when are two Markov chains same distributions
Under the conditions you list, and with $\pi$ given, I think that $P$ can be described by specifying for each unordered pair $\lbrace i,j\rbrace$ a transition rate $P_{ij}$. The reverse rate $P_{ji}$ is determined by detailed balanced. But for each pair one rate is completely free and independent of all other rates so long as you satisfy ergodicity ($(P^n)_{ij}>0$ for some $n$).
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Most helpful math resources on the web
Neil Sloane's home page neilsloane.com has links to some of his other useful databases cataloging, for example, lattices, spherical codes, Lennard Jones cluster, Hadamard matrices, and so on.
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Strong notions of general position
You could ask that all coordinates are algebraically independent.
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Packing and isoperimetrics
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Maximal cross sections of the Cartesian product of two planar domains
It seems from numerics that it is indeed the case that $f$ is weakly unimodal. So this is a valuable example to keep in mind. However, as I have pointed out, I am interested in the cases where $f(\theta)$ is not constant on any interval. Particularly, I want to eliminate the cases that $K$ or $L$ are circular disks and the cases where $R_\theta(L)\subset K$ for some $\theta$.
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Maximal cross sections of the Cartesian product of two planar domains
Yes, you're right. I actually should have written "increasing" instead of "weakly increasing". I will edit accordingly.
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How do you prove that every curve of constant width is convex?
This is basically the answer given on m.se, so I wonder what Paul found unsatisfying about the answer there.
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the perimeter of a non-convex set
I wonder what you mean by the perimeter? Is this the same as the surface area in $R^3$? If so, then what about the catenoid? Its convex hull has a larger surface area (the corners can be smoothed out to be $C^1$).
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All possible linear combinations of positive half-integers with coefficients +/- 1
For arbitrary $p_i$, calculating the value of $\mu(P)$ for some $P$ is equivalent to the subset sum problem, an NP-Complete problem.
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What are good non-English languages for mathematicians to know?
If it were up to me, I'd go with "the is and ought of 1s and noughts".
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