2.2 Finding the eigenvalues and eigenvectors of a two multiplication two matrix
For a given square matrix,
, it is possible to solve the equation

where
are column vectors known as eigenvectors and
is a scalar called an eigenvalue.
A procedure to find the eigenvectors and eigenvalues of a
square matrix
is
-
Solve the quadratic equation
to find the two values of
which are the required eigenvalues. -
For each eigenvalue found, write down the eigenvector equations


-
This pair of equations usually reduces to a single equation that is readily solved for
and
. The eigenvector is given by
with
and
replaced by their solved values. -
It is often useful to normalise
by writing it as a unit vector. It this case, the unit vector is given by
Exercise 5
Find the eigenvalues and eigenvectors of the following matrix:

Answer
Following the prescription described above:
,
,
and
. So we first need to solve the quadratic equation

which is simply

This can be written as

So it has solutions
and
. These are the two eigenvalues.
We now write the two eigenvector equations:

For eigenvalue
these reduce to

Both equations imply that
, so
and
and the first eigenvector is

For eigenvalue
these reduce to

Both equations imply that
, so
and
and the second eigenvector is

OpenLearn - Introduction to quantum computing
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