Metrical properties of exponentially growing partial quotients

Abstract

A fundamental challenge within the metric theory of continued fractions involves quantifying sets of real numbers, when represented using continued fractions, exhibit partial quotients that grow at specific rates. For any positive function , Wang-Wu theorem (2008) comprehensively describes the Hausdorff dimension of the set equation* 1():=\x∈ [0, 1): an(x)≥ (n) \ for \ infinitely \ many \ n∈ \. equation* Various generalisations of this set exist, such as substituting one partial quotient with the product of consecutive partial quotients in the aforementioned set which has connections with the improvements to Dirichlet's theorem, and many other sets of similar nature. Establishing the upper bound of the Hausdorff dimension of such sets is significantly easier than proving the lower bound. In this paper, we present a unified approach to get an optimal lower bound for many known setups, including results by Wang-Wu [Adv. Math., 2008], Huang-Wu-Xu [Israel J. Math. 2020], Bakhtawar-Bos-Hussain [Nonlinearity 2020], and several others, and also provide a new theorem derived as an application of our main result. We do this by finding an exact Hausdorff dimension of the set Sm(A0,…,Am-1) \ x∈[0,1): \, ci Ain an+i(x) < 2ci Ain,0 i m-1 \ for infinitely many n∈ \, where each partial quotient grows exponentially and the base is given by a parameter Ai>1. For proper choices of Ai's, this set serves as a subset for sets under consideration, providing an optimal lower bound of Hausdorff dimension in all of them. The crux of the proof lies in introducing of multiple probability measures consistently distributed over the Cantor-type subset of Sm(A0,…,Am-1).

0

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.

Discussion (0)

Sign in to join the discussion.

Loading comments…