Calculus/Inverses in Group Theory
Expert: Paul Klarreich - 7/6/2007
QuestionQUESTION: Im trying to prove that the inverse of a matrix is unique i think i came up with a solution but im not sure i just wanted you to check it out for me
let A be a n*n matrix with B and C as inverses
the by definition A*B= 1 and A*C=1 where 1 is the identity matrix
THEN A*B=C*A
B=C ???
or
A*B =1
C(A*B)=C
but C(A*B)= B(AC)=B
Which gives B=C
let me know
ANSWER: Questioner: andrew
Category: Calculus
Private: No
Subject: linear algebra
Question: Im trying to prove that the inverse of a matrix is unique i think i came up with a solution but im not sure i just wanted you to check it out for me
let A be a n*n matrix with B and C as inverses
the by definition A*B= 1 and A*C=1 where 1 is the identity matrix
THEN A*B=C*A
B=C ???
or
A*B =1
C(A*B)=C
but C(A*B)= B(AC)=B
>> this step is not so clear.
Which gives B=C
let me know
...........................
Hi, Andrew,
This is really a group-theory exercise. Matrices are just an example.
I think you want to start with this theorem:
The left- and right- inverses of an element of a group are the same.
Proof: Suppose (big)B is a right-inverse, and (little)b is the left-inverse:
AB = I and bA = I
b(AB) = bI
(bA)B = b
IB = b
B = b
[] << end-of-proof symbol.
NOW you can proceed with your proof.
Proof: Suppose B, C are both inverses of A.
That means AB = BA = I and AC = CA = I
Then B = BI = B(AC) = (BA)C = IC = C
[]
---------- FOLLOW-UP ----------
QUESTION: hi thanks ..the soulution is clear ....I just wondered how you would interpet the Equation Ax=Yx where x is the eigenvector and Y is the eigenvectr if the eigenvector if the value was 0 as oppoesed to 2 or any other number
AnswerHi, Andrew,
QUESTION: hi thanks ..the solution is clear ....I just wondered how you would interpet the
Equation Ax=Yx where x is the eigenvector and Y is the eigenvectr
>> Do you mean that Y is the eigenVALUE?
if the eigenvector if the value was 0 as oppoesed to 2 or any other number
..........................
I don't think your Ax = Yx is at all clear. Suppose that A,Y are 2*2 and x is 2*1, and .
Now the equation Ax = Yx is equivalent to (A-Y)x = ZERO. (ZERO means the zero vector)
If the vector x is not ZERO, then there is a solution only if the matrix A-Y is NOT invertible, i.e. does not have an inverse. (Why? because then (A-Y)'(A-Y)x = (A-Y)' ZERO, and then x = ZERO.)
So what you normally do (this is your standard eigenvalue stuff) is to assume Y = kI, where I is the identity matrix. Then A - kI is non-invertible if its determinant is zero. So you write:
det(A - kI) = 0.
which becomes a polynomial equation in k, which you solve using your basic algebra (and a lot of luck). Then for each solution k, you compute an eigenvector. Takes about 2 hours.
Have fun.