Cut — where it appears
Named by 3 essays across one field — each of them below, with the objects they name alongside it.
Also named here as flow, min-max theorem — the same set of essays touches all of them, so they are one junction rather than several.
The bottleneck is the whole story
However much a network can carry from one place to another, there is a way of cutting it in two whose total capacity is exactly that number. One quantity is a maximum over ways of routing and the other a minimum over ways of severing, and they are never off by even one.
When several pairs share the roads
For one pair of places, the most that can travel between them equals the cheapest cut that separates them. Give three pairs a hub of three roads to share and the two numbers come apart: the pairs can send 3/2 between them, while separating every pair costs 2. Two pairs still meet their cut, but only by splitting units in half.
One tree for every cut
A network of six places has fifteen pairs, and each pair has its own cheapest cut. All fifteen can be read off a tree with five numbers on it: the cheapest cut between any two places is the smallest number on the tree's path between them. Gomory and Hu proved in 1961 that such a tree always exists, and building it takes five cuts, not fifteen.
Named alongside it
The objects these essays reach for when they reach for this one.
CertificateFlowMin-max theoremCounterexampleBipartite matchingCapacityConservationDualityEdge disjoint pathsExhaustive searchGraphIntegrality