Finite termination — where it appears
Named by 3 essays across one field — each of them below, with the objects they name alongside it.
An orthogonalisation nobody calls one
Conjugate gradients are derived as a minimisation and behave as an orthogonalisation, which is why the finite-termination property in every textbook is not a property the method has in floating point.
The zero that means it is finished
Every Krylov method ends by dividing by a number the previous step produced, and when that number is zero the recurrence stops. In Arnoldi the stop is the answer — the subspace has closed, the solution is inside it, and the residual is at the unit roundoff. The literature calls it a lucky breakdown, and the adjective is doing real work.
The same zero, and nothing was found
Change the recurrence by two lines and the divisor stops being a norm. It becomes an inner product of two vectors from two different sequences, and an inner product of two different vectors is zero on a whole hyperplane — with neither vector anywhere near zero, nothing invariant, and nothing converged. The arithmetic event is identical and the meaning is opposite.
Named alongside it
The objects these essays reach for when they reach for this one.
Krylov subspaceResidualArnoldiLoss of orthogonalityBiorthogonalityClustered spectrumCondition numberConjugate gradientsConvergence rateCounterexampleGMRESGram–Schmidt