Generalised eigenvalue problem — 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 matrix pencil — the same set of essays touches all of them, so they are one junction rather than several.
Two matrices and one problem
Ax = λBx is what a finite element model, a structural vibration and a constrained optimisation actually produce, and it is not the one-matrix problem with a change of variables. Everybody is told not to form B⁻¹A because it is not symmetric. That is true, the departure from symmetry is about one, and it is not what decides the accuracy.
An eigenvalue with no value
If the second matrix of a pencil is singular then some of the eigenvalues are infinite, and that is not a degeneracy — it is the algebraic constraints of the model, one per constraint. What survives is a pair of numbers rather than one, and on the line those pairs live on, infinity is an ordinary point with an ordinary residual.
A problem with no answer
If two matrices share a null vector then det(A − λB) is identically zero and every λ is an eigenvalue, which means none of them is. Perturb such a pencil by a ten-billionth and a solver returns six numbers with residuals below 10⁻⁹. Change the seed and it returns six different numbers, spread over forty-four, with residuals just as small.
Named alongside it
The objects these essays reach for when they reach for this one.
Matrix pencilBackward errorDeterminantExact arithmeticCholeskyCondition numberCounterexampleDescriptor systemEigenvalue condition numberEigenvaluesIll posed problemInfinite eigenvalue