Large deviations
Named by 3 essays across 2 fields — each of them below, with the objects they name alongside it.
The tail is not a bell
The limit theorem describes a window of width one over the root of n around the mean; ask instead for the chance that an average lands a fixed distance away and the answer falls exponentially, at a rate computed from the summand before any n is chosen.
When the whole histogram deviates
A rare average has a price, an exponent that grows with the number of trials. Ask instead for the chance that the whole tally of outcomes comes out wrong, and the exponent is no longer a function of one number — it is a distance between two distributions, and every rare-average rate is a shadow of it.
The polynomial that bounds the caps
For forty years the best bound on a set of SET cards with no set among them shrank only like one over the dimension. In 2016 a two-page argument made it shrink exponentially, and the whole proof is a count of monomials: a table that is diagonal on a cap, one polynomial that describes it, and the fact that three parts of a degree cannot all be large.
Named alongside it
The objects these essays reach for when they reach for this one.
Central limit theoremCounting argumentRate functionTail boundCap setConcentration inequalityEmpirical distributionEntropyFinite fieldHeavy tailsLegendre transformMoment generating function