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  1. SIAM Journal on Computing (SMJCAT)
  2. Volume 41
  3. Volume 41 Issue 6 (Special Section on the Forty-First Annual ACM Symposium on Theory of Computing (STOC 2009))
  4. Twice-Ramanujan Sparsifiers
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Volume 47
Volume 46
Volume 45
Volume 44
Volume 43
Volume 42
Volume 41
Volume 41 Issue 6 (Special Section on the Forty-First Annual ACM Symposium on Theory of Computing (STOC 2009))
Max Cut and the Smallest Eigenvalue
New Direct-Product Testers and 2-Query PCPs
Twice-Ramanujan Sparsifiers
3-Query Locally Decodable Codes of Subexponential Length
Universally Utility-maximizing Privacy Mechanisms
Online and Stochastic Survivable Network Design
Approximating Edit Distance in Near-Linear Time
Homology Flows, Cohomology Cuts
Bit-Probe Lower Bounds for Succinct Data Structures
Special Section on the Forty-First Annual ACM Symposium on Theory of Computing (STOC 2009)
Agnostic Learning of Monomials by Halfspaces Is Hard
On the Hidden Shifted Power Problem
Locality from Circuit Lower Bounds
Reconstructing Approximate Phylogenetic Trees from Quartet Samples
Fast Information Spreading in Graphs with Large Weak Conductance
Quantum Query Complexity of Minor-Closed Graph Properties
Transitive-Closure Spanners
The Weakest Failure Detectors to Solve Quittable Consensus and Nonblocking Atomic Commit
Volume 41 Issue 5 (Special Section on the Forty-Third Annual ACM Symposium on Theory of Computing (STOC 2011))
Volume 41 Issue 4
Volume 41 Issue 3
Volume 41 Issue 2
Volume 41 Issue 1
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Volume 1

Twice-Ramanujan Sparsifiers (SMJCAT Vol. 41 Issue. 6)

Content Provider Society for Industrial and Applied Mathematics (SIAM)
Author Batson, Joshua Spielman, Daniel A. Srivastava, Nikhil
Copyright Year 2012
Abstract We prove that every graph has a spectral sparsifier with a number of edges linear in its number of vertices. As linear-sized spectral sparsifiers of complete graphs are expanders, our sparsifiers of arbitrary graphs can be viewed as generalizations of expander graphs. In particular, we prove that for every $d>1$ and every undirected, weighted graph $G=(V,E,w)$ on $n$ vertices, there exists a weighted graph $H=(V,F,\tilde{w})$ with at most $\lceil d(n-1)\rceil$ edges such that for every $x\in\mathbb{R}^{V}$, $x^{T}L_{G}x\leq x^{T}L_{H}x\leq\bigl(\frac{d+1+2\sqrt{d}}{d+1-2\sqrt{d}}\bigr)\cdot x^{T}L_{G}x$, where $L_{G}$ and $L_{H}$ are the Laplacian matrices of $G$ and $H$, respectively. Thus, $H$ approximates $G$ spectrally at least as well as a Ramanujan expander with $dn/2$ edges approximates the complete graph. We give an elementary deterministic polynomial time algorithm for constructing $H$.
Starting Page 1704
Ending Page 1721
Page Count 18
File Format PDF
ISSN 00975397
DOI 10.1137/090772873
e-ISSN 10957111
Journal SIAM Journal on Computing (SMJCAT)
Issue Number 6 (Special Section on the Forty-First Annual ACM Symposium on Theory of Computing (STOC 2009))
Volume Number 41
Language English
Publisher Society for Industrial and Applied Mathematics
Publisher Date 2012-12-18
Access Restriction Subscribed
Subject Keyword spectral sparsification paving conjecture barrier method graph sparsification rank-one updates Positive matrices and their generalizations; cones of matrices Graph theory spectral graph theory sparse quadratic forms
Content Type Text
Resource Type Article
Subject Mathematics Computer Science
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