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negation
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Homework Statement
Is it true that:
(ABA^-1)^8 = AB^8A^-1 for all n x n matrix and not just for invertible matrix?
My attempt:
(ABA^-1)^8 =A^8B^8A^-8
That's not correct. You can't "distribute" the exponent like that for matrices.negation said:(ABA^-1)^8 =A^8B^8A^-8
DrClaude said:That's not correct. You can't "distribute" the exponent like that for matrices.
Start with a simpler problem: what is ##(A B A^{-1})^{2}##?
You'll have to find a way to solve that problem, otherwise you'll have difficulty reading most posts in PF!negation said:I can't see what is written. But I presume you wrote (ABA^-1)^2 based on my intuition of the code.
Again, you can't distribute the exponent like that, because multiplication of matrices is not commutative.negation said:((AB)A^-1)^2 = (AB)^2 (A^-1)^2
DrClaude said:You'll have to find a way to solve that problem, otherwise you'll have difficulty reading most posts in PF!
Again, you can't distribute the exponent like that, because multiplication of matrices is not commutative.
Go back to first principles: A2 = AA
Good. Now simplify that expression.negation said:((AB)A^-1)^2 = (ABA^-1) (ABA^-1)
DrClaude said:Good. Now simplify that expression.
Absolutely not! Again, matrix multiplication is not commutative: AB ≠ BA. You can't move around the different matrices, like you would do for ordinary numbers.negation said:AABBA^-1A^-1
Is this a valid operation?
drclaude said:absolutely not! Again, matrix multiplication is not commutative: Ab ≠ ba. You can't move around the different matrices, like you would do for ordinary numbers.
What you have is
(aba-1)(aba-1) = a b a-1 a b a-1
is there anything in there you can simplify?
Please, you are not allowed to move things around. You have to take every matrix in the order it appears.negation said:aa^-1a^-1abb
DrClaude said:Please, you are not allowed to move things around. You have to take every matrix in the order it appears.
What I want you do to is to find two consecutive matrices that you can simplify into something else.
Yes, if they do not change the result, either because you do the same on both sides of an equality (meaning you can only multiply on the extrement left or extreme right), or by introducing the identity matrix I (which is neutral in terms of multiplication).negation said:Am I allowed to introduce matrices?
There's A^-1A which can be simplified to an identity I.DrClaude said:Yes, if they do not change the result, either because you do the same on both sides of an equality (meaning you can only multiply on the extrement left or extreme right), or by introducing the identity matrix I (which is neutral in terms of multiplication).
But, in your case, you do not need to do that. What do you find in the middle of the product?
DrClaude said:Yes, if they do not change the result, either because you do the same on both sides of an equality (meaning you can only multiply on the extrement left or extreme right), or by introducing the identity matrix I (which is neutral in terms of multiplication).
But, in your case, you do not need to do that. What do you find in the middle of the product?
negation said:AB^2A^-1 is correct. Very positive.
If the exponent is more than 2, is there an abstract proof I can perform without having to flood the paper with Ai=1 .. . . .. . .Ai=n?
DrClaude said:For an exponent 2n, you have
(A B A-1)2n = ((A B A-1)2)2n-1 = (A B2 A-1)2n-1 which you can use to start the proof.
You can also show the result for an exponent 2, then 4, then get the general formula by induction.
You have to reverse the order of the matrices:negation said:On a related note,
Would it also be valid to say that (ABC)^-1 == (A^-1B^-1C^-1)?
Since operation between inverse are different?
DrClaude said:You have to reverse the order of the matrices:
(AB)-1 = B-1A-1
Exactly. Just take them two at a time:negation said:Yes I understand I have to. The conudrum comes in when there are more than 2 matrix.
But I'd give it a try:
(ABC)^-1 = C^-1 B^-1 A^-1
DrClaude said:Exactly. Just take them two at a time:
(ABC)-1 = ((AB)C)-1= C-1(AB)-1 = C-1B-1A-1
What you wrote is correct. You have indeed to multiply B from the right on both sides.negation said:Just bear with me for a moment.
A^-1 = BC then C^-1 = AB is true.
(A^-1)^-1 = (BC)^-1 = C^-1 B^-1
(Inverse of an inverse is the original matrix)
A = C^-1 B^-1
I'm a little confused here. I know I have to multiply both sides but B but nebulous as regard the order.
But from what I at least know:
AB = C^-1 B^-1 B
AB = C^-1
negation said:Can I then generalized the form:
(Ai. . . An-2, An-1, An)^-1 = (An)^-1, (An-1) ^-1, (An-2)^-1. . . (Ai)^-1 ? or would it be a cardinal sin?
DrClaude said:Apart from the commas, yes, you can make that generalization.
DrClaude said:Additional note: all we've been writing is only valid if each matrix is individually invertible.
By definition of the inverse, you have that (cA)-1 = A-1/c (where c is a scalar).negation said:What about (-4A)^-1? There are no other matrice(s) for me to swap with.
Yes, ABC is the inverse of C-1B-1A-1. To verify this, notice that (ABC) * (C-1B-1A-1) = (AB)CC-1(B-1A-1) = (AB)I(B-1A-1) = (AB)(B-1A-1) = (A)BB-1(A-1 = AIA-1 = AA-1 = I.negation said:Yes I understand I have to. The conudrum comes in when there are more than 2 matrix.
But I'd give it a try:
(ABC)^-1 = C^-1 B^-1 A^-1
negation said:Yes I understand I have to. The conudrum comes in when there are more than 2 matrix.
But I'd give it a try:
(ABC)^-1 = C^-1 B^-1 A^-1
The basic rules for computing the exponent of a matrix are as follows:
To calculate the exponent of a matrix using diagonalization, follow these steps:
The relationship between the exponent of a matrix and its diagonal elements is as follows:
If A is a diagonalizable matrix, then An can be calculated by raising its diagonal elements to the nth power, with all other elements remaining the same.
No, the exponent of a non-square matrix cannot be calculated because the exponent of a matrix is only defined for square matrices.
To handle negative or fractional exponents in matrix exponentiation, you can use the definition of the matrix inverse. For example, A-1 can be used to represent the inverse of matrix A, and A1/2 can be used to represent the square root of matrix A. Additionally, you can use the diagonalization method to calculate negative or fractional powers of a matrix.