3,366 research outputs found
Eigenvalue conditions for induced subgraphs
Necessary conditions for an undirected graph G to contain a graph H as
induced subgraph involving the smallest ordinary or the largest normalized
Laplacian eigenvalue of G are presented
Frames, Graphs and Erasures
Two-uniform frames and their use for the coding of vectors are the main
subject of this paper. These frames are known to be optimal for handling up to
two erasures, in the sense that they minimize the largest possible error when
up to two frame coefficients are set to zero. Here, we consider various
numerical measures for the reconstruction error associated with a frame when an
arbitrary number of the frame coefficients of a vector are lost. We derive
general error bounds for two-uniform frames when more than two erasures occur
and apply these to concrete examples. We show that among the 227 known
equivalence classes of two-uniform (36,15)-frames arising from Hadamard
matrices, there are 5 that give smallest error bounds for up to 8 erasures.Comment: 28 pages LaTeX, with AMS macros; v.3: fixed Thm 3.6, added comment,
Lemma 3.7 and Proposition 3.8, to appear in Lin. Alg. App
Pseudo-random graphs
Random graphs have proven to be one of the most important and fruitful
concepts in modern Combinatorics and Theoretical Computer Science. Besides
being a fascinating study subject for their own sake, they serve as essential
instruments in proving an enormous number of combinatorial statements, making
their role quite hard to overestimate. Their tremendous success serves as a
natural motivation for the following very general and deep informal questions:
what are the essential properties of random graphs? How can one tell when a
given graph behaves like a random graph? How to create deterministically graphs
that look random-like? This leads us to a concept of pseudo-random graphs and
the aim of this survey is to provide a systematic treatment of this concept.Comment: 50 page
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