Perron frobenius — where it appears
Named by 3 essays across one field — each of them below, with the objects they name alongside it.
A ranking that is an eigenvector
PageRank is the stationary vector of a walk that follows links with probability α and jumps at random otherwise. The iteration and the elimination agree to 4·10⁻¹⁷. What α is set to changes which pages come third, fourth and fifth.
A chain with no stationary vector
A page with no outgoing links loses forty per cent of the walker's probability in six hundred steps. A directed cycle never converges at all. And on a graph whose links only run one way, the entire rank of half the vertices is exactly one minus the teleportation parameter.
An eigenvector that must not change sign
Perron's theorem says the leading eigenvector of a connected nonnegative matrix is strictly positive. On a clique with a long tail, four of its thirty-six entries come back negative — and beside them is the one two-sided bound on this site that is proved rather than estimated.
Named alongside it
The objects these essays reach for when they reach for this one.
Collatz wielandtDangling nodePagerankPower iterationRegularisationStationary distributionTeleportationCentralityCertificateEigenvectorIrreducibilityMixing time