Math 2.0

Linear and multilinear algebra; matrix theory Determinants Theorem

Matrix determinant lemma

Builds on DeterminantInvertible matrix

Statement

Let KK be a commutative ring, let AA be an invertible n×nn \times n matrix over KK, and let u,v∈Knu, v \in K^n be column vectors. Then det⁡(A+uvT)=(1+vTA−1u)det⁡A,\det(A + u v^T) = (1 + v^T A^{-1} u) \det A, where det⁡\det is the determinant.

Remarks

The matrix uvTu v^T has rank at most 11, so the lemma describes the effect of a rank one update on the determinant. It follows from Sylvester's determinant theorem with the matrices A−1uA^{-1} u and vTv^T. A variant without inverses is det⁡(A+uvT)=det⁡A+vTadj⁡(A)u\det(A + u v^T) = \det A + v^T \operatorname{adj}(A) u.

Reading path

To understand this page from the ground up, read these 11 pages in order. The foundations come first.

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  1. Identity matrix object
  2. Matrix definition
  3. Vector space definition
  4. Matrix multiplication definition
  5. Square matrix definition
  6. Linear map definition
  7. Invertible matrix definition
  8. Multilinear map definition
  9. Alternating multilinear map definition
  10. Determinant definition
  11. Matrix determinant lemma statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Matrix_determinant_lemma, Statement
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Kindstatement, theorem
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MSC15A15
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