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Peter Sarnak

dblp:48/2233 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Graph algorithms and graph theory · 93% Coding theory · 7%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Graph algorithms and graph theory › spectral graph theory
eigenvalue bounds
0.011986
Explicit Expanders and the Ramanujan Conjectures · STOC 1986
Graph algorithms and graph theory
expander graphs
0.011986
Explicit Expanders and the Ramanujan Conjectures · STOC 1986
Graph algorithms and graph theory › expander graphs
ramanujan graphs
0.011986
Explicit Expanders and the Ramanujan Conjectures · STOC 1986
Graph algorithms and graph theory
spectral graph theory
0.011986
Explicit Expanders and the Ramanujan Conjectures · STOC 1986
Coding theory › error-correcting codes › code construction
explicit constructions
0.011986
Explicit Expanders and the Ramanujan Conjectures · STOC 1986

Methods — techniques the papers use, named apart from their topics

spectral analysis · 0.0ramanujan conjecture · 0.0
YearPublicationVenuePosition
1986 Explicit Expanders and the Ramanujan Conjectures
abstract
Background.The aim of this note is to give an explicit construction of a rich family of k-regular (except for k ° =k) of the adjacency matrix satisfy Ikjl < 2 k~-l.graphs for which all the eigenvalues kj This bound is optimal (see Proposition 2.1).We call such graphs Ramanujan graphs.These graphs have many applications in the construction of explicit algorithms.~ny of these applications come from the fact that Ramanujan graphs make good expanders.Expanders in ~irn serve as basic building blocks for the construction of nonblocking networks [Pin, Bas-Pin, PI1], s~perconcentrators [G-G], sorting and selecting algorithms [AKS, PI3] etc.More precisely let X = (V,E) be a graph with vertices V and edges E .For A c: V we define the boundary of A, denoted ~A, by 8A = [yc V[d(y,A) = i} .
Alexander Lubotzky, Ralph Phillips, Peter Sarnak
STOC3