Small Ball Probabilities for Simple Random Tensors (2403.20192v1)
Abstract: We study the small ball probability of an order-$\ell$ simple random tensor $X=X{(1)}\otimes\cdots\otimes X{(\ell)}$ where $X{(i)}, 1\leq i\leq\ell$ are independent random vectors in $\mathbb{R}n$ that are log-concave or have independent coordinates with bounded densities. We show that the probability that the projection of $X$ onto an $m$-dimensional subspace $F$ falls within an Euclidean ball of length $\varepsilon$ is upper bounded by $\frac{\varepsilon}{(\ell-1)!}\left(C\log\left(\frac{e}{\varepsilon}\right)\right){\ell}$ and also this upper bound is sharp when $m$ is small. We also established that a much better estimate holds true for a random subspace.
Sponsor
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.