Quantization dimension for Gibbs-like measures on cookie-cutter sets
Abstract
In this paper using Banach limit we have determined a Gibbs-like measure μh supported by a cookie-cutter set E which is generated by a single cookie-cutter mapping f. For such a measure μh and r∈ (0, +∞) we have shown that there exists a unique r ∈ (0, +∞) such that r is the quantization dimension function of the probability measure μh, and established its functional relationship with the temperature function of the thermodynamic formalism. The temperature function is commonly used to perform the multifractal analysis, in our context of the measure μh. In addition, we have proved that the r-dimensional lower quantization coefficient of order r of the probability measure is positive.
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.