The characteristic polynomial of a square matrix is the polynomial that has the eigenvalues of the matrix as its roots.
We have already introduced the characteristic polynomial in the lecture on eigenvalues. Here we study its properties in greater detail.
Here is a definition.
Definition
Let
be a
matrix. The characteristic polynomial of
is the
polynomial
where
is the
identity matrix.
Here is a simple example.
Example
Define the
matrix
Then
Therefore,
the characteristic polynomial of
is
The characteristic polynomial is
monic (i.e., the
coefficient of its highest power is
)
and its degree is equal to the dimension of the matrix.
Proposition
Let
be a
matrix. The characteristic polynomial of
is a monic polynomial of degree
.
This proposition can be proved by using the
definition of
determinantwhere
is the set of all permutations
of the first
natural numbers. Thus,
is a sum of polynomials of the
form
The
polynomial of this form having the highest degree is that in which all the
factors
are diagonal elements of
.
It corresponds to the permutation
in which the
natural numbers are sorted in increasing order. The parity of
is even and its sign is
because
it does not contain any inversion (see the lecture on the
sign of a permutation).
Thus, the summand having the highest degree
is
which
has degree
and is monic. All the other summands have degree less than
.
Therefore,
has degree
and is monic.
Being a monic polynomial of degree
,
the characteristic polynomial can be written
as
Hence,where
the last equality is a consequence of the
properties of the
determinant.
We also have the following
property:where
is the trace of
.
The proof of this fact can be found in a solved exercise at the end of this
lecture.
By the Fundamental Theorem of Algebra, a monic polynomial of degree
whose coefficients are complex can be factored into the product of
linear factors (revise the
lecture on
polynomials if you are puzzled). As a consequence, the characteristic
polynomial can be written
as
where
are the roots of
,
that is, the values such
that
In other words, the roots of the characteristic polynomial are the eigenvalues
of
.
Below you can find some exercises with explained solutions.
Prove the above claim
that
We have seen above that the
characteristic polynomial
is a sum of
polynomials:
where
is a permutation of the first
natural numbers. We have already seen that there is only one summand that
contains a
term, corresponding to the permutation such that
.
This is also the only summand that contains a
term because, as soon as we invert the order of two numbers in the
permutation, two diagonal terms drop out of the product
Hence,
we just need to find the coefficient of
in the product
By
expanding the product, we can see that all the
terms are of the form
and
there are
such terms (for
).
Therefore,
Please cite as:
Taboga, Marco (2021). "Characteristic polynomial", Lectures on matrix algebra. https://www.statlect.com/matrix-algebra/characteristic-polynomial.
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