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9 - Graphs with Least Eigenvalue –2

from Part IV - The Shrikhande Graph in Context

Published online by Cambridge University Press:  05 June 2026

Peter J. Cameron
Affiliation:
University of St Andrews, Scotland
Aparna Lakshmanan S.
Affiliation:
Cochin University of Science and Technology, India
Ambat Vijayakumar
Affiliation:
Cochin University of Science and Technology, India
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Summary

In this chapter, we use the classification of the root systems with all roots of the same length to determine the graphs G whose adjacency matrix A(G) has least eigenvalue −2 or larger. This classification includes the Shrikhande graph and gives us another, quite different, proof of Shrikhande’s Theorem.

Note that if G is a graph with at least one edge, then the sum of the eigenvalues of A(G) is zero (the trace of A(G)), and hence G has both positive and negative eigenvalues. So, for non-null graphs, the smallest eigenvalue is negative.

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