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A branch of geometry dealing with convex sets and functions. Polytopes, convex bodies, discrete geometry, linear programming, antimatroids, ...

7 votes

Approaching convex and discrete geometry from other disciplines

For convex geometry & functional analysis: Ball, Keith Convex geometry and functional analysis. Handbook of the geometry of Banach spaces, Vol. I, 161–194, North-Holland, Amsterdam, 2001. Ball, Ke …
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1 vote

A lower bound on $\|\cdot\|_{p_{\ast}}$ image of $\ell^{q_{\ast}}$ vectors

This is really a comment rather than an answer, but it is too long for a comment and I feel compelled to say something because you used my tag. :) I do not understand the first statement of your pro …
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4 votes
Accepted

A lower bound on $\|\cdot\|_{p_{\ast}}$ image of $\ell^{q_{\ast}}$ vectors

Not being able to sleep due to jet lag, I had a chance to think about your problem a bit. The answer is elementary and simple, but I will say more than is necessary. First, people interested in quan …
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4 votes

Finite dimensional subspaces of $L^1.$

There are many characterizations of Banach spaces that embed isometrically into $L_1$. See Wells, J. H.; Williams, L. R. Embeddings and extensions in analysis. Ergebnisse der Mathematik und ihrer Gr …
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5 votes

Finite imensional subspaces of $L^\infty.$

Sure. All finite dimensional Banach spaces.
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2 votes
Accepted

Closure of the interior of a convex set in a topological vector space

Yes. Assume WLOG that $0$ is an interior point and $y$ is in $C$. Draw a picture to see that the interval $[0,y)$ is contained in the interior of $C$. Specifically, if $U$ is a neighborhood of $0$ c …
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9 votes

Do random projections (approximately) preserve convexity?

Negative result: See p. 377 in Chapter 15 of Matousek's book, which can be found here. In short, if you want the image of the $k$ points to be between the surface of a convex body $K$ and the surf …
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9 votes

Intuitive explanation of Dvoretzky's theorem

There is a more difficult proof than the quantitative finite dimensional proofs that gives only the qualitative version of Dvoretzky's theorem but is arguably more intuitive. You use Ramsey's theorem …
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3 votes

Characterization of $l_p$ up to a linear isometry

Not an answer, but too long for a comment: Look at Wells and Williams book, Embeddings and extensions in analysis, Springer Ergebnisse 84. There you find the classical description of what spaces $X$ …
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4 votes

Maximal Ellipsoid

Ben, John's theorem is easier for unit balls of spaces which have a one symmetric basis because you can argue that the basis vectors must be orthogonal with respect to the Euclidean norm determined by …
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8 votes

Continuous automorphism groups of normed vector spaces?

I think what groups can be the isometry group of a finite dimensional normed space are classified, maybe by Y. Gordon and/or D.R. Lewis. I don't have access to emath from home but will check the refer …
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