Uniform Distribution Theory
Journal license

Journal

Uniform Distribution Theory


Volume
& Issue

Volume 14, Issue 2


Published
on

October 25, 2019


Pages

103-126


DOI

Article

Quasi-Random Graphs, Pseudo-Random Graphs and Pseudorandom Binary Sequences, I. (Quasi-Random Graphs)

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Authors

Jozsef Borbely Affiliation:
University of Óbuda, Székesfehérvár, Hungary
and Andras Sarkozy Affiliation:
Eötvös Loránd University, Budapest, Hungary


Abstract

In the last decades many results have been proved on pseudo- randomness of binary sequences. In this series our goal is to show that using many of these results one can also construct large families of quasi-random, pseudo-random and strongly pseudo-random graphs. Indeed, it will be proved that if the first row of the adjacency matrix of a circulant graph forms a bi- nary sequence which possesses certain pseudorandom properties (and there are many large families of binary sequences known with these properties), then the graph is quasi-random, pseudo-random or strongly pseudo-random, respectively. In particular, here in Part I we will construct large families of quasi-random graphs along these lines. (In Parts II and III we will present and study con- structions for pseudo-random and strongly pseudo-random graphs, respectively.)


Keywords

quasi-random graph, pseudo-random graph, pseudorandom binary sequence.


Citation

Borbely, J. & Sarkozy, A. (2019). Quasi-random graphs, pseudo-random graphs and pseudorandom binary sequences, i. (quasi-random graphs). Uniform Distribution Theory, 14(2), 103–126. https://doi.org/10.2478/udt-2019-0017

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