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Probability of being inside a convex n-dimensional polytop

I am currently conducting some post-grad research about wireless transmissions with uncertain transmission delays. As part of the research, each individual transmission is modelled using a probability ...
Florian Bauer's user avatar
1 vote
0 answers
61 views

$\psi_2$ marginals of the permutahedron?

Let $K$ be a convex body. I in particular care about the permutahedron. I will view this as being the convex hull of all coordinate-wise permutations of the vector $$v = \frac{1}{2n+2}(-n, -n+2,\dots, ...
Mark Schultz-Wu's user avatar
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0 answers
118 views

Weak derivative of projection onto probabilist's simplex

Let $\Delta_n:=\{x\in [0,1]^n:\boldsymbol{1}^{\top}x=1\}$ denote the probabilist's $n$-simplex and let $P:\mathbb{R}^n\rightarrow\Delta_n$ denote the (Euclidean) metric projection onto this simplex ...
ABIM's user avatar
  • 5,405
2 votes
1 answer
113 views

Existence of fine approximate of a convex body in $\mathbb R^d$ with convex hull of $\mathcal O(d)$ points

Let $K$ be a convex body in $\mathbb R^d$ which contains the origin and let $\theta \in (0,1)$. Question. Is it always possible to find $n$ points $x_1,\dotsc,x_n \in \mathbb R^d$ such that $$ \theta ...
dohmatob's user avatar
  • 6,853
2 votes
1 answer
133 views

Discrete random walk on polytope via involutions

Let $P$ be a convex polytope (or more generally convex body, I suppose) in $V=\mathbb{R}^n$. For each $v\in \mathbb{P}V$, we define an involution $\tau_v\colon P\to P$ by setting $\tau_v(p)$ to be the ...
Sam Hopkins's user avatar
  • 24.2k
2 votes
0 answers
106 views

How to judge whether the following convex set contains a given point?

Let the set $\mathcal{S}=\left\{ \sum_{i=1}^n x_i\mathbf{h}_i:x_i\in[0,1] \text{ for all }i\right\}\subset\mathbb{R}^r$, i.e., a zonotope generated by $n$ column vector $\mathbf{h_1},\cdots,\mathbf{h}...
RyanChan's user avatar
  • 550
1 vote
0 answers
248 views

Gaussian mean width of normal random cones

Suppose $1 \leq n < m < \infty$ are integers. For $g \sim \mathcal N(0, I_n)$ define the gaussian mean width of a non-empty set $T \subseteq \mathbb R^n$ by $$ w(T) := \mathbb E \sup_{x \in T} \...
bashfuloctopus's user avatar
0 votes
0 answers
165 views

Probability that the perturbed convex hull is larger than the original one

I am wondering if any convex geometers/probabilists have looked at the following question: Given $n$ randomly distributed (not sure what assumption to put there) points in $\mathbb{R}^d$, for each ...
user3799934's user avatar
1 vote
1 answer
234 views

When is the second largest Gaussian r.v. the largest in the stochastic sense?

Let $X_1, \ldots, X_n$ be jointly Gaussian, each of which is marginally distributed as a standard Gaussian $N(0,1)$. It is well known that $\max |X_i|$ achieves the maximum in the stochastic sense if $...
John Wong's user avatar
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11 votes
1 answer
609 views

Tighter Caratheodory on the moment curve?

The moment curve is the set of points of the form $$(t,t^2,t^3,...,t^n) \in R^n$$ Let $M$ be the portion of the moment curve where $t\in [0,1]$, and let $\overline{M}$ be the convex hull of $M$. ...
Bill Bradley's user avatar
  • 3,979
3 votes
0 answers
636 views

Wasserstein distance, convex polytopes and extreme points

Let us consider convex polytopes with $K$ extreme points in $\mathbb{R}^d$. Let $\mathbf{P}$ be such polytope, and let $\text{ext}(\mathbf{P})$ denote its set of extreme points, so that $\mathbf{P} = \...
passerby51's user avatar
  • 1,731
13 votes
0 answers
1k views

Constructive aspects of Caratheodory's theorem in convex analysis

Let me paraphrase Caratheodory's theorem in a probabilistic setup: Let $X$ be a real-valued random variable. For $k = 1, \ldots, m$, let $f_k: \mathbb{R} \to \mathbb{R}$ be a continuous function such ...
gondolier's user avatar
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