Interlacing
Named by 2 essays across 2 fields — each of them below, with the objects they name alongside it.
The highest point on the sphere is an eigenvalue
For a symmetric matrix, walk a unit arrow over every direction and record the value of xᵀAx. The highest value reached is the largest eigenvalue, the lowest is the smallest, and every eigenvalue in between is a saddle height, a minimum of maxima. From that one description comes a theorem no formula for the roots could give: delete a row and its column, and every eigenvalue of what is left sits between two of the original's.
The roots every matching polynomial keeps real
Count a graph's matchings by size and make the counts the coefficients of a polynomial. On every one of 35,664 graphs tested, that polynomial has only real roots — a theorem of Heilmann and Lieb from 1972. Count independent sets instead and the roots wander off the axis on a growing share of graphs, but never on a graph without a claw, and matchings are the independent sets of a graph that never has one.
Named alongside it
The objects these essays reach for when they reach for this one.
EigenvalueEigenvectorGenerating functionIndependent setLog-concavityOptimisationPerfect matchingQuadratic formRayleigh quotientReal rooted polynomialSpectral theoremSphere