LA Ch 10 Lab -SGLee
Chapter 10
Jordan Canonical Form
10.1 Finding the Jordan Canonical Form with a Dot Diagram
*10.2 Jordan Canonical Form and Generalized Eigenvectors
10.3 Jordan Canonical Form and CAS
10.4 Exercises
If a matrix is diagonalizable, every thing is much easier. But most of matrices are not diagonalizable. The Jordan canonical form or Jordan normal form is an upper triangular matrix of a particular form called a Jordan matrix (a simple block diagonal matrix) representing an operator with respect to some basis. The diagonal entries of the normal form are the eigenvalues of the operator, with the number of times each one occurs given by its algebraic multiplicity.
Any square matrix has a Jordan normal form if the field of coefficients is extended to one containing all the eigenvalues of the matrix. Since each matrix has a corresponding Jordan canonical form which is similar to it, all computations can be done with this simple upper triangular matrix. The Jordan normal form is named after Camille Jordan, a French mathematician renowned for his work in various branches of mathematics. In this chapter, we will study how to find a Jordan matrix which is similar to any given matrix and how to find generalized eigenvectors.
Book http://matrix.skku.ac.kr/2015-Album/Big-Book-LinearAlgebra-Eng-2015.pdf
Book http://matrix.skku.ac.kr/2015-Album/BigBook-LinearAlgebra-SGLee-New-2015.pdf
Theorem10.1.2 |
|
The number of dots in the first the dimension of solution space of |
nullity
=nullity
.
Theorem10.1.3 |
|
For Then, the following are true.
(1) (2) If |
By Theorem 10.1.2,
(provided
)
Also, and
(The number of dots in each row,, means the number of blocks of size at least
). ■
From Theorem 10.1.3, let’s see how the dot diagram for each
is completely determined by the matrix
.
Find the Jordan Canonical Form of
.
,
,
.
(x - 3) * (x - 2)^3
[3, 2, 2, 2]
The matrix has characteristic polynomial
, so
has two distinct eigenvalues
,
.
Here has algebraic multiplicity 1, and
has algebraic multiplicity 3. Thus, the dot diagram for
has 1 dot
•
and has one
Jordan block. That is,
.
As well, the dot diagram for has 3 dots, and
2
1
,
.
Thus, the dot diagram for is the following.
: • • (number of Jordan blocks: 2)
: •
has one
Jordan block and one
Jordan block. That is,
Hence, the Jordan Canonical form of is
□
http://sage.skku.edu and http://mathlab.knou.ac.kr:8080/
[3|0 0|0]
[-+--+-]
[0|2 1|0]
[0|0 2|0]
[-+--+-]
[0|0 0|2] ■
Find the Jordan Canonical Form of .
The matrix has characteristic polynomial
,
so there are two distinct eigenvalues of ,
and
, each with algebraic multiplicity 2. For
,
.
Therefore, the dot diagram for is the following.
: • (Number of Jordan blocks:
)
: •
So, .
For ,
.
is 0(∵The number of dots is
). Therefore, the dot diagram for
is the following:
: • • (Number of Jordan blocks = 2)
So,
Thus, the Jordan Canonical Form of is
. □
[4 1|0|0]
[0 4|0|0]
[--+-+-]
[0 0|2|0]
[--+-+-]
[0 0|0|2] ■
* Jordan Canonical Form Learning Materials
● http://matrix.skku.ac.kr/2012-mobile/E-CLA/10-1.html
● http://matrix.skku.ac.kr/2012-mobile/E-CLA/10-1-ex.html
● http://matrix.skku.ac.kr/JCF/JordanCanonicalForm-SKKU.html
http://matrix.skku.ac.kr/JCF/index.htm
10.2 *Jordan Canonical Form and Generalized Eigenvectors
Reference video: https://youtu.be/YrRnCByzxNM https://youtu.be/yJ7n0icjtNA
Practice site: http://matrix.skku.ac.kr/knou-knowls/cla-week-15-sec-10-2.html
http://matrix.skku.ac.kr/sglee/03-Note/GeneralizedEV-f.pdf
http://matrix.skku.ac.kr/MT-04/chp8/3p.html
In Section 10.1, we learned the theory and method for finding a matrix ,
called the Jordan Canonical form, such that .
In this section, we will examine a method for finding the matrix in the above equation.
This method utilizes the concept of generalized eigenvectors.
The following matrix was referred from the wiki
http://en.wikipedia.org/wiki/Jordan_normal_form.
Let .
Consider the matrix . The Jordan normal form is obtained
by some similarity transformation , i.e.
.
Let have column vectors
,
, then
.
We see that
.
For , we have
,
i.e. is an eigenvector of
corresponding to the eigenvalue
.
For , multiplying both sides by
gives
.
But , so
. Thus,
.
Vectors like are called generalized eigenvectors of
.
Definition [Generalized Eigenvectors]
A non zero vector, is called a generalized eigenvector of a matrix
corresponding to an eigenvalue
, if there exists a positive integer
such that
. The smallest
such is called the order of the generalized eigenvector
.
Thus, given an eigenvalue , its corresponding Jordan block gives rise to a Jordan chain.
A Jordan chain of length corresponding to an eigenvalue
is a sequence of non zero vectors,
such that
,
,
.
The generator, or lead vector (say, ) of the chain is a generalized eigenvector such that
, where
is the size of the Jordan block.
The vector is an eigenvector corresponding to
. In general,
is the pre-image of
under
.
So the lead vector generates the chain via multiplication by .
Therefore, the statement that every square matrix can be put in Jordan normal form is equivalent to the claim that
there exists a basis consisting only of eigenvectors and generalized eigenvectors of .
PS: More details about the Jordan Canonical Form can be found at
http://www.uio.no/studier/emner/matnat/math/MAT2440/v11/undervisningsmateriale/genvectors.pdf.
10.3 Jordan Canonical Form and CAS
Reference video: http://youtu.be/LxY6RcNTEE0
Practice site: http://matrix.skku.ac.kr/knou-knowls/cla-week-15-sec-10-3.html
In practice, in order to find the Jordan Canonical Form of a 10 10 matrix, you need to find the roots of a characteristic polynomial of degree 10.
The factorization and rigorous calculation of these roots is impossible.
Moreover, a 10 10 matrix requires us to calculate many exponents and coefficients.
In order to calculate these coefficients, the Gaussian elimination and related computations can be performed by various computer programs.
e.g. HLINPRAC, MATHEMATICA, MATLAB, and the recently developed open-source program, Sage.
The use of software for computationally complex mathematics is necessary in an increasingly technological society.
The following links provide more information about the Jordan Canonical Form and tools that allow you to explicitly find the Jordan Canonical Form for a given matrix without arduous calculations by hand.
1. Theory and tools : http://matrix.skku.ac.kr/JCF/
2. Jordan Canonical Form; an algorithmic approach:
http://matrix.skku.ac.kr/JCF/JCF-algorithm.html
3. Jordan Canonical Form (step by step) tool:
http://matrix.skku.ac.kr/JCF/JordanCanonicalForm-SKKU.html
4. CAS Tool : http://matrix.skku.ac.kr/2014-Album/MC-2.html
Solved by 신영준 Finalized and Final OK by SGLee
Problem 1
Let be a 5×5 matrix with the only one eigenvalue
with algebraic multiplicity of 5.
Find all possible types of Jordan Canonical forms of when the number of linearly independent eigenvectors corresponding
is 2.
Sol)
Type 1
the dot diagram for is the following.
=2 : ⦁⦁
=1 : ⦁
=1 : ⦁
=1 : ⦁
So,
Type 2
the dot diagram for is the following.
=2 : ⦁⦁
=2 : ⦁⦁
=2 : ⦁
So, ■
Note: 5= 1+4, 2+3 (there are only 2 cases in the given decreasing order.)
Problem 2
For the given Jordan Canonical form , calculate the following:
(1)
Sol)
(2)
Sol)
(3)
Sol)
(4)
Sol) ■
Chapter 10, Problem 3
Find the Jordan Canonical Form of the given matrix.
Sol)
The matrix has its characteristic polynomial
=
.
So has two distinct eigenvalues
,
.
Here =25 has algebraic multiplicity 1,
=0 has algebraic multiplicity 4.
Thus the dot diagram for has 1 dot.
=1 : ⦁ (number of Jordan block: 1)
Here has one Jordan block of 1
1. That is,
=[25].
As well, the dot diagram for has 4 dot, and
= 5-rank(
-
) = 5-1 = 4
= rank(
) - rank[
] = 1-1 =0
= rank[
] - rank[
] = 1-1 =0
= rank[
] - rank[
] = 1-1 =0
Thus, the dot diagram for is the following.
=4 : ⦁⦁⦁⦁ (number of Jordan block: 4)
has 4 Jordan blocks of 1
1 . That is,
=
.
Hence, the Jordan Canonical form of is
∴ =
=
.
Doble checked by Sage
Chapter 10, Problem 4
Find the Jordan Canonical Form of the given matrix.
Sol)
The matrix has characteristic polynomial
=
.
So A has three distinct eigenvalues ,
,
. Here
=3 has algebraic multiplicity 1,
=2 has algebraic multiplicity 1 and
=1 has algebraic multiplicity 3.
Thus the dot diagram for has 1 dot.
=1 ; ⦁(number of Jordan block: 1)
Here has one 1
1 Jordan block. That is,
=[3].
And also the dot diagram for has 1 dot.
=1 : ⦁(number of Jordan block: 1)
Here has one 1
1 Jordan block. That is,
=[2].
As well, the dot diagram for has 3 dot, and
= 5-rank(
-
) = 5-4 = 1
= rank(
) - rank[
] = 4-3 =1
= rank[
] - rank[
] = 3-2 =1
Thus, the dot diagram for is the following.
=1 : ⦁ (number of Jordan block: 1)
=1 : ⦁
=1 : ⦁
has one 3
3 Jordan block. That is,
=
.
Hence, the Jordan Canonical form of is
∴ =
=
Doble checked by Sage
Chapter 10, problem 5
Find the Jordan Canonical Form of the given matrix.
Sol)
The matrix has characteristic polynomial
=
.
So A has three distinct eigenvalues ,
,
.
Here =5 has algebraic multiplicity 1,
=1 has algebraic multiplicity 1 and
=-3 has algebraic multiplicity 1.
Thus the dot diagram for has 1 dot.
=1 ; ⦁ (number of Jordan block: 1)
Here has one 1
1 Jordan block. That is,
=[5].
And also the dot diagram for has 1 dot.
=1 : ⦁ (number of Jordan block: 1)
Here has one 1
1 Jordan block. That is,
=[1].
As well, the dot diagram for has 1 dot, and.
=1 : ⦁ (number of Jordan block: 1)
has one 1
1 Jordan block. That is,
=
.
Hence, the Jordan Canonical form of is
∴ =
=
Doble checked by Sage
Problem 6 Find the Jordan Canonical Form of the given matrix.
Sol) The matrix has characteristic polynomial
=
.
So A has two distinct eigenvalues of ,
=2 and
=0, each with algebraic multiplicity 2.
For
=2,
= 4 - rank(
) = 4-2 = 2
= rank(
) - rank[
] = 2-2 = 0
Therefore, the dot diagram for is the following.
=1 : ⦁ ( Number of Jordan blocks : 1)
=1 : ⦁
So,
=
For =0
= 4 - rank
= 4 - 3 = 1
= rank
- rank[
] = 3 - 2 = 1
=1 : ⦁ ( Number of Jordan blocks : 1)
=1 : ⦁
So, =
.
Hence, the Jordan Canonical form of is
∴ =
=
.
Doble checked by Sage
Problem7.
Find the Jordan Canonical Form of the given matrix.
Sol.
The matrix has characteristic polynomial
=
. So A has three distinct eigenvalues
,
,
.
Here =4 has algebraic multiplicity 1,
=2 has algebraic multiplicity 1 and
=1 has algebraic multiplicity 3.
Thus the dot diagram for has 1 dot.
⦁
Here has 1
1 Jordan block. That is,
=[4].
And also the dot diagram for has 1 dot.
⦁
Here has 1
1 Jordan block. That is,
=[2].
Now the dot diagram for has 3 dot, and
= 5-rank(
-
) = 5-4 = 1
= rank(
) - rank[
] = 4-3 =1
= rank[
] - rank[
] = 3-2 =1
Thus, the dot diagram for is the following. (number of Jordan block: 1)
=1 : ⦁
=1 : ⦁
=1 : ⦁
has ons 3
3 Jordan block. That is,
=
. Hence, the Jordan Canonical form of
is
∴ =
=
■
Doble checked by Sage
Problem8.
Find the Jordan Canonical Form of the given matrix.
Sol.
The matrix has characteristic polynomial
=
. So A has two distinct eigenvalues of
,
=4 and
=2, each with alegebraic multiplicity 2.
For = 4,
= 4 - rank(
) = 4-3 = 1
= rank(
) - rank[
] = 3-2 = 1
Therefore, the dot diagram for is the following. ( Number of Jordan blocks : 1)
=1 : ⦁ (Number of Jordan blocks = 1 )
=2 : ⦁
So, =
.
For =2,
= 4 - rank(
) = 4-2 = 2
= rank(
) - rank[
] = 2-2 = 0
Therefore, the dot diagram for
is the following.
=2 : ⦁⦁ (Number of Jordan blocks = 2 )
So, =
.
Thus, the Jordan Canonical Form of is
=
.
Doble checked by Sage
Ch 10 Jordan Canonical Forms (Reference)
http://math1.skku.ac.kr/home/pub/2323/
http://matrix.skku.ac.kr/JCF/JordanCanonicalForm-SKKU.html
http://math1.skku.ac.kr/home/pub/656/
https://www.youtube.com/watch?v=NBLZPcWRHYI
MT Chapter 10 Jordan Canonical Forms
[ 1. Jordan Canonical Form
- Definition - Link
[ 2. Generalized Eigenvectors
- Definition - Link
- Finding a Jordan Canonical Form using Generalized Eigenvectors - Link
- Finding Generalized Eigenvectors using a Jordan Canonical Form - Link
[ 3. Characteristic Polynomial and Minimal Polynomial
- Characteristic Polynomial and Minimal Polynomial of a Jordan form - Link
- Diagonalization and Minimal Polynomial - Link
- Cayley-Hamilton theorem- Link
[ 4. Applications ]
- Computing J^k where J is a Jordan block - Link
- Computing A^k using Jordan Canonical Form - Link
- Computation of e^A using Jordan Canonical Form- Link
- Solving a Linear Ordinal Differential Equation - Link
1) The algebraic sum of currents in a network of conductors meeting at a point is zero.
3) Linear Algebra & Genetics. John Gallego, Sunit kambli, Daniel Lee http://web.csulb.edu/~jchang9/m247/m247_sp10_Danial_John_Sunny.pdf
http://www.math.washington.edu/~king/coursedir/m308a01/Projects/m308a01-pdf/kirkham.pdf
4) http://www.prenhall.com/esm/app/ph-linear/leon/html/proj1.html
https://en.wikipedia.org/wiki/Leslie_matrix
5) Casey Pearson. Matrices in Statics and Mechanics.(2012). http://home2.fvcc.edu/~dhicketh/LinearAlgebra/studentprojects/spring2012/Linear%20Algebra%20Project/Linear%20Algebra%20Project.pdf (2015.11.15.)
http://msemac.redwoods.edu/~darnold/math45/laproj/fall2006/iancraig/SVD_paper.pdf
7) http://www.sciencedirect.com/science/article/pii/0169743987800849
https://en.wikipedia.org/wiki/Principal_component_analysis
8) 대한전자공학회, http://www.ieek.or.kr/
“Low Complexity Power Allocation Scheme for MIMO Multiple Relay System With Weighted Diagonalization”
9) W.C.Chew, S.Koc, J.M. Song, C.C.Lu, and E. Michielssen / Center for computational electromagnetics / Electromagnetics Laboratory / Department of electrical and Computer Engineering / University of Illinois / Urbana, Il 61801
http://scholar.ndsl.kr/schDetail.do?cn=NPAP00247997
About the Author
https://www.researchgate.net/profile/Sang_Gu_Lee
https://scholar.google.com/citations?user=FjOjyHIAAAAJ&hl=en&cstart=0&pagesize=20
http://orcid.org/0000-0002-7408-9648
http://www.scopus.com/authid/detail.uri?authorId=35292447100
http://matrix.skku.ac.kr/sglee/vita/LeeSG.htm
Made by SGLee http://matrix.skku.ac.kr/sglee/