In linear algebra, an alternant matrix is a matrix formed by applying a finite list of functions pointwise to a fixed column of inputs. An alternant determinant is the determinant of a square alternant matrix.
Generally, if f 1 , f 2 , … , f n {\displaystyle f_{1},f_{2},\dots ,f_{n}} are functions from a set X {\displaystyle X} to a field F {\displaystyle F} , and α 1 , α 2 , … , α m ∈ X {\displaystyle {\alpha _{1},\alpha _{2},\ldots ,\alpha _{m}}\in X} , then the alternant matrix has size m × n {\displaystyle m\times n} and is defined by
or, more compactly, M i j = f j ( α i ) {\displaystyle M_{ij}=f_{j}(\alpha _{i})} . (Some authors use the transpose of the above matrix.) Examples of alternant matrices include Vandermonde matrices, for which f j ( α ) = α j − 1 {\displaystyle f_{j}(\alpha )=\alpha ^{j-1}} , and Moore matrices, for which f j ( α ) = α q j − 1 {\displaystyle f_{j}(\alpha )=\alpha ^{q^{j-1}}} .