Connectivity — where it appears
Named by 2 essays across one field — each of them below, with the objects they name alongside it.
Also named here as evasiveness — the same set of essays touches all of them, so they are one junction rather than several.
The adversary who hides the edge
The floor under comparison sorting comes from counting outputs — n! of them, so log₂(n!) comparisons. Connectivity has two outputs, so the same argument gives a floor of one comparison, which is useless. A different kind of argument gives Ω(E), and having both on the site is the point: lower bounds are not one technique.
Every pair must be asked
Ask whether a six-vertex graph is connected, one pair of vertices at a time, and the best possible algorithm needs all fifteen questions on its worst graph. The claim that this holds for every monotone property of graphs is a conjecture fifty years old. At four vertices it can be settled completely: all 2,046 properties that do not depend on vertex names need every pair. Name one vertex, and the count drops from ten to four.
Named alongside it
The objects these essays reach for when they reach for this one.
AdjacencyAdversary argumentDecision treeEvasivenessLower boundAdjacency listAverage caseCounting argumentDistributionExhaustive searchHonest limitInvariant