Concept

Normalised laplacian — where it appears

The graph Laplacian conjugated by the square roots of the degrees, D^-1/2 L D^-1/2. Its spectrum lies in [0, 2] for every graph, it relaxes conductance rather than the ratio cut, and it is the matrix Cheeger's inequality is a theorem about.

Named by 5 essays across one field — each of them below, with the objects they name alongside it.

10⁻³10⁻²10⁻¹110¹12345678910conductance, and the two bounds on itpathcyclegridbarbelltwo blockshypercubepreferentialstarcompletethe bar is the inequalitythe dot is the graph

Two Laplacians of one graph

D − A and D^{-1/2}(D − A)D^{-1/2} are built from the same object, are not similar to each other, and answer different questions. On a graph whose degrees are equal they coincide. On one whose degrees span an order of magnitude their second eigenvalues are sixteen times apart.

graph · graph laplacian
1611162126110¹10²10³degree of the grounded vertexcondition number of what is left1, the best choicea parameter nobody setsvertices tried30best κ1at degree29worst κ898at degree1spread898one row and column deletedand it matters which

The vertex nobody solves for

A Laplacian is singular, so every solve with one has to remove its kernel first. There are three ways, they agree to fourteen digits, and the one everybody uses carries a free parameter that no account of the method mentions and that moves the condition number by nine hundred.

graph · graph laplacian
10⁻³10⁻²10⁻¹110¹12345678910conductance, and the two bounds on itpathcyclegridbarbelltwo blockshypercubepreferentialstarcompletethe bar is the inequalitythe dot is the graph

A bound with a square root in it

Cheeger's inequality brackets a graph's best cut between λ₂/2 and √(2λ₂). The lower bound is attained exactly. The upper one is loose by a factor of fourteen — on the one graph in the census with a real bottleneck, which is the shape it is always quoted about.

graph · spectral partition
0173451688510211910⁻⁶10⁻⁵10⁻⁴10⁻³10⁻²10⁻¹1steps of the walkdistance from stationarya rate read as a timeλ₂ of the walk0.9steps measured122steps predicted131ratio0.93the dashed line is the eigenvaluethe curve is the walk

The rate is the second eigenvalue

A walk forgets where it started at a rate the graph's second eigenvalue names exactly. Across three orders of magnitude in the step count the prediction is five per cent high — and the published rate for PageRank is right for a reason nobody states, which is that a link graph is in pieces.

graph · random walk
a triangle and a square, joinedK₂,₃ with a pendant edge1234560123456indexeigenvaluethe same, and not the samevertices each6edges each7spanning trees12spectra differ by5.3·10⁻¹⁵highest degree, left4highest degree, right3one has a trianglethe other is bipartite

The spectrum is not the graph

Two graphs on six vertices with the same Laplacian characteristic polynomial — as integer polynomials, not to fourteen digits. One contains a triangle; the other is bipartite. Every method in this field that reads only the spectrum is answering about the class.

graph · graph invariant

Named alongside it

The objects these essays reach for when they reach for this one.

ConductanceGraph laplacianAlgebraic connectivityBipartiteBound tightnessCharacteristic polynomialCheeger inequalityConditioningCospectral graphsDeflationDegree sequenceDiagonal scaling

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