On Hausdorff dimension in inhomogeneous Diophantine approximation over global function fields
Abstract: In this paper, we study inhomogeneous Diophantine approximation over the completion $K_v$ of a global function field $K$ (over a finite field) for a discrete valuation $v$, with affine algebra $R_v$. We obtain an effective upper bound for the Hausdorff dimension of the set [ \mathbf{Bad}A(\epsilon)=\left{\boldsymbol{\theta}\in K_v{\,m} : \liminf{(\mathbf{p},\mathbf{q})\in R_v{\,m} \times R_v{\,n}, |\mathbf{q}|\to \infty} |\mathbf{q}|n |A\mathbf{q}-\boldsymbol{\theta}-\mathbf{p}|m \geq \epsilon \right}, ] of $\epsilon$-badly approximable targets $\boldsymbol{\theta}\in K_v{\,m}$ for a fixed matrix $A\in\mathscr{M}_{m,n}(K_v)$, using an effective version of entropy rigidity in homogeneous dynamics for an appropriate diagonal action on the space of $R_v$-grids. We further characterize matrices $A$ for which $\mathbf{Bad}_A(\epsilon)$ has full Hausdorff dimension for some $\epsilon>0$ by a Diophantine condition of singularity on average. Our methods also work for the approximation using weighted ultrametric distances.
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.