Lines Missing Every Random Point∗ Jack H. Lutz† Neil Lutz‡ Abstract

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Date: 2014-07-23 19:14:22 Mathematical analysis Computability theory Mathematics Theory of computation Theoretical computer science Martingale theory Stochastic processes Kakeya set Real analysis Computable function Martingale Computable number		Lines Missing Every Random Point∗ Jack H. Lutz† Neil Lutz‡ Abstract Add to Reading List Source URL: paul.rutgers.edu Download Document from Source Website File Size: 323,22 KB Share Document on Facebook

	ON Lp BOUNDS FOR KAKEYA MAXIMAL FUNCTIONS AND THE MINKOWSKI DIMENSION IN R2 U. KEICH Abstract. We prove that the bound on the Lp norms of the Kakeya type maximal functions studied by Cordoba [2], and by DocID: 1rpJG - View Document
	Algorithmic information, plane Kakeya sets, and conditional dimension Jack H. Lutz∗ Neil Lutz† DocID: 1r9sX - View Document
	CLASS QUIZ: OCTOBER 21: MAX-MIN PROBLEMS MATH 152, SECTION 55 (VIPUL NAIK) Your name (print clearly in capital letters): Note: Questions 5-7 have only four options. (1) Consider all the rectangles with perimeter equal to DocID: 1qBE9 - View Document
	Lines Missing Every Random Point∗ Jack H. Lutz† Neil Lutz‡ Abstract DocID: 1qlxM - View Document
	UNEXPECTED APPLICATIONS OF POLYNOMIALS IN COMBINATORICS LARRY GUTH In the last six years, several combinatorics problems have been solved in an unexpected way using high degree polynomials. The most well-known of these p DocID: 1nXOv - View Document