A determinant is a function that assigns to each n×nn\times n matrix A=(aij)A=(a_{ij}) over a field F\mathbb{F} the scalar

det⁡(A)=∑σ∈Snsgn⁡(σ)∏i=1nai,σ(i),\det(A)=\sum_{\sigma\in S_n}\operatorname{sgn}(\sigma)\prod_{i=1}^n a_{i,\sigma(i)},

where SnS_n is the set of permutations of {1,…,n}\{1,\dots,n\} and sgn⁡(σ)∈{±1}\operatorname{sgn}(\sigma)\in\{\pm 1\} is the sign of σ\sigma.

Remarks

For a T:V→VT:V\to V on a finite-dimensional , one defines det⁡(T)\det(T) as the determinant of any matrix representing TT in a basis (this does not depend on the choice of basis). The is defined using determinants.

Examples
  • If AA is diagonal with diagonal entries d1,…,dnd_1,\dots,d_n, then det⁡(A)=d1⋯dn\det(A)=d_1\cdots d_n.
  • If AA is upper triangular, then det⁡(A)\det(A) is the product of its diagonal entries.
  • For the scaling operator T(v)=c vT(v)=c\,v on an nn-dimensional space, det⁡(T)=cn\det(T)=c^n.