Concept
Multilinearity
The property of being linear in each argument separately, with the others held fixed. It is what lets a function of several vectors be expanded over a basis one argument at a time, and it is the first of the three conditions that leave the determinant as the only possibility.
Named by 2 essays across one field — each of them below, with the objects they name alongside it.
The only function that behaves like a volume
Ask for a function of the columns of a matrix that scales when a column scales, vanishes when two columns agree, and gives one on the identity. Three conditions, and there is exactly one such function in every dimension.
The same sum without its minus signs
Delete the signs from the determinant's sum over permutations and what is left counts things directly rather than by cancellation. It is a better count and a far worse object — because the cancellation was what made the determinant computable.
Named alongside it
The objects these essays reach for when they reach for this one.
DeterminantMatrixPermutationAxiomBasisBoundsCancellationCounting argumentLatin squareMatchingOrientationParity