Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10.2 9/18/84; site lasspvax.UUCP Path: utzoo!watmath!clyde!burl!ulysses!mhuxr!mhuxt!houxm!vax135!cornell!lasspvax!rokhsar From: rokhsar@lasspvax.UUCP (Dan Rokhsar) Newsgroups: net.math Subject: Labeling a Lattice Message-ID: <325@lasspvax.UUCP> Date: Mon, 6-May-85 13:18:29 EDT Article-I.D.: lasspvax.325 Posted: Mon May 6 13:18:29 1985 Date-Received: Sun, 12-May-85 04:47:54 EDT Reply-To: rokhsar@lasspvax.UUCP (Dan Rokhsar) Organization: LASSP, Cornell University Lines: 44 Newsgroup: net.math Subject: Labeling a lattice Expires: References: Sender: Reply-To: rokhsar@lasspvax.UUCP (Dan Rokhsar) Followup-To: Distribution: Organization: Laboratory of Atomic and Solid State Physics, Cornell University Keywords: Here's a problem related to the "can we map a square to an interval" problem, but with a twist. Consider an N x N square lattice (the generalization to higher dimensions is trivial). We wish to assign a unique integer between 1 and N^2 to each lattice site, so that the maximum difference between adjacent labels is minimized. Boundary conditions can be either free or periodic. Questions: 1. How does the minimum maximal difference (MMD) vary with the size of the square? The dimension of the hypercube? 2. Can we find a rigorous lower bound to the MMD? (by constructing a labeling, we have found that MMD <= (D N)^(D-1) in D dimensions, and by considering the best labeling of a single point and its neighbors, MMD >= (2^D) : a Monte- Carlo approach has yielded an ordering qualitatively similar to the one that gives (D N)^(D-1), at least in 2 dimensions) 3. Is this problem discussed anywhere? if so, could you send us references? One Dimensional Case: An optimal labeling with free boundary conditions is (obviously) 1 2 3 4 5 6 7 8 9 ... (N-2) (N-1) N MMD = 1 With periodic boundary conditions, an optimal one is (for N even) 1 3 5 7 9 ... (N-1) N (N-2) (N-4) ... 6 4 2 MMD = 2 This can be generalized to two and higher dimensions to get our upper bound (left as an exercise to the reader). Dan Rokhsar Steve White