Math 2.0

Linear and multilinear algebra; matrix theory Definition

Matrix pencil

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Definition

Let 𝕂\mathbb{K} be a field, let m,n≥1m, n \ge 1, and let AA and BB be m×nm \times n matrices over 𝕂\mathbb{K}. The matrix pencil of AA and BB is the matrix A−λBA - \lambda B with entries in the polynomial ring 𝕂[λ]\mathbb{K}[\lambda]. When m=nm = n, the pencil is regular if the polynomial det⁡(A−λB)\det(A - \lambda B) is not the zero polynomial, and singular otherwise. For a regular pencil, an eigenvalue is a root λ0\lambda_0 of det⁡(A−λB)\det(A - \lambda B), and an eigenvector for λ0\lambda_0 is a vector v≠0v \ne 0 with Av=λ0BvAv = \lambda_0 Bv.

Remarks

Some authors write λB−A\lambda B - A or A+λBA + \lambda B; this changes only signs. When BB is singular, a regular pencil is often said to have an eigenvalue ∞\infty, since μA−B\mu A - B is singular at μ=0\mu = 0. Example: A=(2006)A = \begin{pmatrix} 2 & 0 \\ 0 & 6 \end{pmatrix} and B=(1002)B = \begin{pmatrix} 1 & 0 \\ 0 & 2 \end{pmatrix} give det⁡(A−λB)=(2−λ)(6−2λ)\det(A - \lambda B) = (2 - \lambda)(6 - 2\lambda), so the pencil is regular with eigenvalues 22 and 33. Non-example: A=B=(1000)A = B = \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix} give det⁡(A−λB)=(1−λ)⋅0=0\det(A - \lambda B) = (1 - \lambda) \cdot 0 = 0, so the pencil is singular. If BB is invertible, the eigenvalues of the pencil are the ordinary eigenvalues of B−1AB^{-1}A.

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  1. Determinant concept
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Further reading

  1. Web https://en.wikipedia.org/wiki/Matrix_pencil
About this page
TagBPKZV9W7AT
URIm2://BPKZV9W7AT
Kinddefinition
WritingW0 stub
MSC15A22
DefinesMatrix pencil
UsesMatrix, Field, Determinant, Eigenvalue
Changed2 November 2026

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