Showing posts with label characteristic polynomial. Show all posts
Showing posts with label characteristic polynomial. Show all posts

Thursday, December 1, 2011

Revisiting Linear Algebra

In earliers blogs (last year) we looked at examples of linear algebra in terms of the behavior of lines and planes, e.g.

http://brane-space.blogspot.com/2010/05/analyzing-lines-planes.html

Now, we look at this branch of math from the viewpoint of one of its main elements: matrices. One of the primary objectives here is, given a matrix, say 2 x 2 or 3 x 3 , one will want to obtain the 'characteristic matrix" from either form, and thence the eigenvalues. (Which we saw a lot of when we were looking at linear solutions of certain differential equations, i.e. http://brane-space.blogspot.com/2011/01/homogeneous-linear-de-systems-breaking.html

Now, in this linear algebra context, let a 3 x 3 matrix A =

(a1.....0.......0)
(0.......a2.....0)
(0.......0.......an)

Then its characteristic polynomial will be obtained from:

P_A(t) =

(t- a1.....0.......0)
(0.......t – a2.....0)
(0.......0....... t - an)


Or:

P_A(t) = (t – a1)(t – a2) (t – an)

The eigenvalues can be obtained via solving for a1, a2, an, in the equation:

(t – a1)(t – a2) (t – an) = 0

Example:

Given the matrix:

A =

(1.. ..i)
(i.......-2.)

Find the characteristic polynomial as well as the eigenvalues.

We have:

P_A(t) =

(t - 1…… i)
( i....... t + 2)

Whence: P_A(t) = (t – 1)(t + 2) – (i)^2


P_A(t) = t^2 –t + 2t -2 - (i)^2 = t^2 +t -2 + 1= t^2 + t – 1

Since this is a quadratic equation, so we can find the eigenvalues (E1,2) using the quadratic formula:

E1,2 = {- b +/- [b^2 – 4 ac]^ ½} / 2a

Where the a, b, c denote the coefficients for the quadratic, with a the numerical coefficient for the exponent 2 term (t^2), b for the exponent 1 term(t) and c the exponent 0 term. Thus: a = 1, b = 1, c = -1


Then: E1,2 = {- 1 +/- [1^2 – 4 (-1)]^ ½} / 2(1)


E1,2 = {-1 +/- [5] ^ ½} / 2

So that:

E1 = (-1 + [5] ^ ½) / 2 = 0.618

E2 = (-1 - [5] ^ ½) / 2 = -1.618


Problems for the Math adventurous:

Find the characteristic polynomials and the eigenvalues for each of the following matrices:

1) A =

(1.. ..i)
(-i.......1)


2) A =

(1.. …. .2)
(2.......-2)


3) A =

(3.. ……2)
(-2...... 3)