Dimension estimates for badly approximable affine forms
Abstract
For given ε>0 and b∈Rm, we say that a real m× n matrix A is ε-badly approximable for the target b if q∈Zn, \|q\|∞ \|q\|n Aq-b m ≥ ε, where · denotes the distance from the nearest integral point. In this article, we obtain upper bounds for the Hausdorff dimensions of the set of ε-badly approximable matrices for fixed target b and the set of ε-badly approximable targets for fixed matrix A. Moreover, we give an equivalent Diophantine condition of A for which the set of ε-badly approximable targets for fixed A has full Hausdorff dimension for some ε>0. The upper bounds are established by effectivizing entropy rigidity in homogeneous dynamics, which is of independent interest. For the A-fixed case, our method also works for the weighted setting where the supremum norms are replaced by certain weighted quasinorms.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.