Linear Algebra/Determinant

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The determinant is a function which associates to a square matrix an element of the field on which it is defined (commonly the real or complex numbers). The determinant is required to hold these properties:

  • It is linear on the rows of the matrix.
det[λa1+μb1λan+μbn]=λdet[a1an]+μdet[b1bn]
  • If the matrix has two equal rows its determinant is zero.
  • The determinant of the identity matrix is 1.

It is possible to prove that detA=detAT, making the definition of the determinant on the rows equal to the one on the columns.

Properties

  • The determinant is zero if and only if the rows are linearly dependent.
  • Changing two rows changes the sign of the determinant:
det[row Arow B]=det[row Brow A]


  • The determinant is a multiplicative map in the sense that
det(AB)=det(A)det(B) for all n-by-n matrices A and B.

This is generalized by the Cauchy-Binet formula to products of non-square matrices.

  • It is easy to see that det(rIn)=rn and thus
det(rA)=det(rInA)=rndet(A) for all n-by-n matrices A and all scalars r.
  • A matrix over a commutative ring R is invertible if and only if its determinant is a unit in R. In particular, if A is a matrix over a field such as the real or complex numbers, then A is invertible if and only if det(A) is not zero. In this case we have
det(A1)=det(A)1.

Expressed differently: the vectors v1,...,vn in Rn form a basis if and only if det(v1,...,vn) is non-zero.

A matrix and its transpose have the same determinant:

det(A)=det(A).

The determinants of a complex matrix and of its conjugate transpose are conjugate:

det(A*)=det(A)*.

Theorems

Uniqueness

Existence

Using Laplace's formula for the determinant

Binet's theorem

det(AB)=detAdetB

Applications

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