\(
\newcommand{\fnorms}[1]{{\lVert#1\rVert}^2_F}
\newcommand{\pr}{\mathrm{P}}
\newcommand{\card}[1]{\lvert#1\rvert}
\newcommand{\RR}{\mathcal{R}}
\)
[LR]
Assume that \(P \subset \RR^d\) is a random 0/1 polytope. Then the edge expansion of \(P\) is at least \( 1/12d \) with high probability.
[RS]
Let \(A\) be a \(d\)-by-\(2d\) random matrix with iid standard Gaussian entries.
Then
\[
\pr\Bigl(\min_{S\subseteq [2d], \card{S} = d} \sigma_d(A_S) \geq e^{-\Omega(d)}\Bigr) \leq e^{-\Omega(d)}
\]
(where \( A_S\) is the subset of columns of \(A\) indexed by \(S\) and \( \sigma_d(A_S) \) is its \(d\)th smallest singular value).
[LR]
Consider a set of \(2n+5\) points on the plane in general position.
Then the number of conic sections going through 5 points and splitting the rest of the points in half is \( \binom{n+2}{2}^2 \).
[DR]
[DRVW]
Let \(A\) be an \(m\)-by-\(n\) real matrix.
Let \(1 \leq k \leq \min\{m, n\}\).
Let \(A_k\) be the best rank-\(k\) approximation to \(A\).
Then there exists a polynomial time computable matrix \(C\) formed by \(k\) columns of \(A\) such that
\[
\fnorms{A - C C^+ A} \leq (k+1) \fnorms{A-A_k}
\]
(where \( C C^+\) is the projection matrix onto the columnspace of \(C\)).
[FGRV]
The union of two random spanning trees of the complete graph on \(n\) vertices has constant vertex expansion with probability \(1-o(1)\).
[R]
For \(K \subseteq \RR^d \), let \(V_K\) denote the expected volume of the convex hull of \(d+1\) iid random points from \(K\).
The statement: "for all pairs of compact convex sets with non-empty interior \(K \subseteq L \subseteq \RR^d\) one has \(V_K \leq V_L\)" is true for every \(d \in \{1,2\}\) and false for every \(d \geq 4\).
(The case \(d=3\) was resolved in [RR], negatively.)