PlanetMath (more info)
 Math for the people, by the people.
Encyclopedia | Requests | Forums | Docs | Wiki | Random | RSS  
Login
create new user
name:
pass:
forget your password?
Main Menu
Owner confidence rating: High Entry average rating: No information on entry rating
minimal polynomial (endomorphism) (Definition)

Let $ T$ be an endomorphism of an $ n$-dimensional vector space $ V$.

Definitions. We define the minimal polynomial, $ M_T(X)$, to be the unique monic polynomial of minimal degree such that $ M_T(T) = 0$. We say that $ P(X)$ is a zero polynomial for $ T$ if $ P(T)$ is the zero endomorphism.

Note that the minimal polynomial exists by virtue of the Cayley-Hamilton theorem, which provides a zero polynomial for $ T$.

Properties. Firstly, $ \operatorname{End}(V)$ is a vector space of dimension $ n^2$. Therefore the $ n^2 + 1$ vectors, $ i_v, T, T^2, \ldots T^{n^2}$, are linearly dependant. So there are coefficients, $ a_i$ not all zero such that $ \sum_{i=0}^{n^2} a_i T^i = 0$. We conclude that a non-trivial zero polynomial for $ T$ exists. We take $ M_T(X)$ to be a zero polynomial for $ T$ of minimal degree with leading coefficient one.

Lemma: If $ P(X)$ is a zero polynomial for $ T$ then $ M_T(X) \mid P(X)$.

Proof. By the division algorithm for polynomials, $ P(X) = Q(X)M_T(X) + R(X)$ with $ deg R < deg M_T$. We note that $ R(X)$ is also a zero polynomial for $ T$ and by minimality of $ M_T(X)$, must be just 0. Thus we have shown $ M_T(X) \mid P(X)$. $ \qedsymbol$

The minimal polynomial has a number of interesting properties:

  1. The roots are exactly the eigenvalues of the endomorphism
  2. If the minimal polynomial of $ T$ splits into linear factors then $ T$ is upper-triangular with respect to some basis
  3. The minimal polynomial of $ T$ splits into distinct linear factors (i.e. no repeated roots) if and only if $ T$ is diagonal with respect to some basis.

It is then a simple corollary of the fundamental theorem of algebra that every endomorphism of a finite dimensional vector space over $ \mathbb{C}$ may be upper-triangularized.

The minimal polynomial is intimately related to the characteristic polynomial for $ T$. For let $ \chi_T(X)$ be the characteristc polynomial. Since $ \chi_T(T)=0$, we have by the above lemma that $ M_T(X) \mid \chi_T(X)$. It is also a fact that the eigenvalues of $ T$ are exactly the roots of $ \chi_T$. So when split into linear factors the only difference between $ M_T(X)$ and $ \chi_T(X)$ is the algebraic multiplicity of the roots.

In general they may not be the same - for example any diagonal matrix with repeated eigenvalues.



"minimal polynomial (endomorphism)" is owned by mathcam. [ full author list (2) | owner history (1) ]
(view preamble)

View style:

See Also: zero polynomial, opposite polynomial

Also defines:  zero polynomial, minimal polynomial
Log in to rate this entry.
(view current ratings)

Cross-references: diagonal matrix, algebraic multiplicity, difference, characteristic polynomial, finite dimensional, fundamental theorem of algebra, diagonal, basis, factors, eigenvalues, roots, properties, number, polynomials, division algorithm, leading coefficient, degree, minimal, coefficients, vectors, dimension, Cayley-Hamilton theorem, monic polynomial, definitions, vector space, endomorphism
There are 13 references to this entry.

This is version 9 of minimal polynomial (endomorphism), born on 2002-11-21, modified 2007-12-17.
Object id is 3615, canonical name is MinimalPolynomialEndomorphism.
Accessed 5846 times total.

Classification:
AMS MSC15A04 (Linear and multilinear algebra; matrix theory :: Linear transformations, semilinear transformations)

Pending Errata and Addenda
None.
[ View all 6 ]
Discussion
Style: Expand: Order:
forum policy
we would like... by juanman on 2006-06-03 01:32:07
to see how this related with the characteristic polynomial and the Hamilton-Cayley theorem


greets
[ reply | up ]

Interact
post | correct | update request | add derivation | add example | add (any)