2011
DOI: 10.48550/arxiv.1109.1592
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The Inducibility of Graphs on Four Vertices

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“…It is crucial to know all forced zero eigenvectors during the rounding step because a small but uncontrolled perturbation of Q τ i may result in negative eigenvalues. Flagmatic 2.0 takes care of this by ensuring that the column space of the matrix R in (11) is orthogonal to all forced zero eigenvectors of Q τ i (when an extremal construction is supplied using the function set_extremal_construction).…”
Section: Proof Certificatesmentioning
confidence: 99%
“…It is crucial to know all forced zero eigenvectors during the rounding step because a small but uncontrolled perturbation of Q τ i may result in negative eigenvalues. Flagmatic 2.0 takes care of this by ensuring that the column space of the matrix R in (11) is orthogonal to all forced zero eigenvectors of Q τ i (when an extremal construction is supplied using the function set_extremal_construction).…”
Section: Proof Certificatesmentioning
confidence: 99%
“…The inducibility of a graph H is defined as lim n→∞ max G d(H; G), where the maximum is over all n-vertex graphs G. This natural parameter has been investigated for several types of graphs H. E.g., complete bipartite and multipartite graphs [1,2], very small graphs [7,13] and blow-up graphs [11].…”
Section: Introductionmentioning
confidence: 99%