The behavior of the bounds of matrix-valued maximal inequality in Rn for large n
Abstract
In this paper, we study the behavior of the bounds of matrix-valued maximal inequality in Rn for large n. The main result of this paper is that the Lp-bounds (p>1) can be taken to be independent of n, which is a generalization of Stein and Str\"omberg's resut in the scalar-valued case. We also show that the weak type (1,1) bound has similar behavior as Stein and St\"omberg's.
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.