Binomial statistics — 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 ensemble — the same set of essays touches all of them, so they are one junction rather than several.
A probability for a system with one future
The Solar System will do one thing, and an integration of it is wrong about which thing within a hundred million years. What long integrations report instead is a probability — one per cent that Mercury's orbit goes unstable before the Sun dies — and a probability of a single event is a strange object. It is a count over an ensemble of futures that differ by less than anything measurable, which makes sense only because chaos makes those futures independent; and how many of them are needed is a binomial question with an unforgiving answer for rare events.
A rare event reached by cloning the near misses
Counting how often an ensemble of integrations goes unstable works for an event of one in a hundred and becomes hopeless for one in a million, because a ten per cent answer needs a hundred events and so a hundred million futures. Splitting gets there by a different route: wait for the members that come closest, copy them, and run the copies on. Each stage measures a common event and the rare one is a product of common ones — provided the copies forget their parents and the stages know how much time is left.
Named alongside it
The objects these essays reach for when they reach for this one.
ChaosEnsembleLyapunov exponentNumerical integrationSolar system stabilityStandard mapRare event samplingRoundoff error