Characteristic matrix, similarity invariants, minimum polynomial, companion matrix, non-derogatory matrix
Def. Characteristic matrix of a matrix. Let A be an nxn matrix whose elements are numbers from some number field F. The characteristic matrix of matrix A is the λ-matrix
λI - A.
Properties of the characteristic matrix λI - A of a matrix A. If A is an nxn matrix over a field F its characteristic matrix λ I - A has the following special properties:
● it is necessarily non-singular (i.e. it has a rank of n)
● it possesses n invariant factors (i.e. the diagonal of its Smith normal form is full – all diagonal elements contain monic polynomials (invariant factors) – there are no trailing zeros)
Elementary divisors of λI - D where D is a diagonal matrix. Let D be an
n-square diagonal matrix
The elementary divisors of D’s characteristic matrix λI - D
are its diagonal elements λ - a1, λ - a2 , .... , λ - an.
Condition for similarity of two n-square matrices. Two n-square matrices A and B over a field F are similar over a field F if and only if their characteristic matrices have the same invariant factors or the same rank and the same elementary divisors in F.
Condition for similarity to a diagonal matrix. An n-square matrix A over a field F is similar to a diagonal matrix if and only if λ I - A has linear elementary divisors in F[λ].
Def. Similarity invariants of a matrix. Let A be an nxn matrix whose elements are numbers from some number field F. The similarity invariants of matrix A are the invariant factors of its characteristic matrix λI - A. Because the characteristic matrix λI - A of A is non-singular and has n invariant factors, matrix A has n similarity invariants.
Theorem. The characteristic polynomial of an n-square matrix A is the product of the invariant factors of λI - A (or, equivalently, of the similarity invariants of A).
The minimum polynomial and minimum equation of a matrix. Every square matrix satisfies its own characteristic equation (Hamilton-Cayley Theorem), however, there may be another equation of lower degree than the characteristic equation which the matrix satisfies. That monic polynomial m(λ) of minimum degree such that m(A) = 0 is called the minimum polynomial of A and m(A) = 0 is called the minimum equation of matrix A.
● Let λ1, λ2, .... , λl be the set of all distinct roots of the characteristic equation of a matrix A, and n1, n2, .... , nl be the multiplicities with which they occur. Then the characteristic polynomial, f(λ), of the matrix is
The minimum polynomial, m(λ), is then:
where 1 ≤mi ≤ni i = 1,2,....,l
1] Let f(λ) be the characteristic polynomial and m(λ) be the minimum polynomial of an nxn matrix A. Then
where g(λ) is the greatest common divisor of all minors of order n-1 of the determinant |λI - A| .
2] When the characteristic roots of a matrix are all distinct the minimum polynomial is equal to (identical to) the characteristic matrix.
3] Let the characteristic matrix λ I - A of an nxn matrix A have the n monic polynomials p1(λ), p2(λ), .... , pn(λ) as the 1st, 2nd , ... , n th diagonal elements of its Smith normal form (i.e. these n monic factors represent its n invariant factors arranged in order). Then the minimum polynomial of A is pn(λ).
4] The characteristic matrix and minimum polynomial of an nxn matrix A are identical if and only if A has just one non-trivial similarity invariant.
5] If A is any n-square matrix over field F and f(λ) is any polynomial over F, then f(A) = 0 if and only if the minimum polynomial m(λ) of A divides f(λ).
6] The characteristic polynomial f(λ) of A is the product of the minimum polynomial of A and certain monic factors of m(λ).
7] The characteristic matrix of an n-square matrix A has distinct linear elementary divisors if and only if m(λ), the minimum polynomial of A, has only distinct linear factors.
Non-derogatory matrix. An nxn matrix whose characteristic polynomial and minimum polynomial are identical.
Derogatory matrix. An nxn matrix whose characteristic polynomial and minimum polynomial are different.
● An n-square matrix A is non-derogatory if and only if A has just one non-trivial similarity invariant.
● If matrices B1 and B2 have minimum polynomials m1(λ) and m2(λ) respectively, the minimum polynomial m(λ) of the direct sum D = diag(B1 ,B2 ) is the least common multiple of m1(λ) and m2(λ).
This result may be extended to the direct sum of n matrices.
● Let g1(λ), g2(λ), .... , gm(λ) be distinct, monic, irreducible polynomials in F[λ] and let Aj be a non-derogatory matrix such that
Then B = diag(A1, A2, .... , Am) has
as both characteristic and minimum polynomial.
We will now exhibit a matrix which has as both its characteristic polynomial and minimum polynomial the polynomial
Companion matrix of a monic polynomial. Let
be a monic polynomial. We define the companion matrix of g(λ) as the nxn matrix C(g)
C(g) = [-a1] if g(λ) = λ + a1 (i.e. if n = 1)
This companion matrix C(g) of the polynomial g(λ) has g(λ) as both its characteristic polynomial and minimum polynomial. This means that if some non-derogatory matrix A has as its single non-trivial similarity invariant the polynomial g(λ) it will be similar to the companion matrix C(g) of g(λ) . Indeed C(g) of g(λ) will constitute a canonical form for such a matrix.
● If A is non-derogatory with the non-trivial similarity invariant fn(λ) = (λ - a)n, then
has fn(λ) as its characteristic and minimum polynomial.
Note. There are a variety of concepts associated with both regular matrices and
Regular n-square matrices (elements are numbers)
Characteristic matrix of a matrix A. The matrix λI - A .
Similarity invariant of a matrix A. An invariant factor of λI - A .
Characteristic polynomial of a matrix A.. The polynomial f(λ) = | λI - A |
(obtained by expanding the determinant | λI - A | ). It is a polynomial
of degree n where A is nxn..
Characteristic equation of a matrix A. The equation f(λ) = | λI - A | = 0 .
Characteristic roots of a matrix A. The roots of the characteristic equation
f(λ) = | λI - A | = 0 .
Minimum polynomial and minimum equation of a matrix A. That monic
polynomial m(λ) = 0 of minimum degree such that m(A) = 0.
Lambda-matrices (elements are polynomials)
Invariant factors of a λ-matrix The monic polynomials f1(λ), f2(λ), .... , fr(λ)
in the diagonal of the Smith normal form of the matrix.
Elementary divisors of a λ-matrix. Invariant factors in Smith normal form
expressed as irreducible factors.
Ayres, Matrices. Chap. 25
James and James. Mathematics Dictionary.
The Way of Truth and Life
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Love of God and love of virtue are closely united
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We are our habits
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