Matrix manipulation/arithmetic in equations for proofs

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Matrix multiplication is non-commutative, meaning the order of matrices matters when rearranging equations. For the equation AB^-1 = C, multiplying both sides by B from the right yields A = CB, not A = BC. In the proof of (A^T)^-1 = (A^-1)^T, the identity matrix is preserved through transposition, allowing the conclusion that the transposed inverse equals the inverse of the transpose. Understanding these operations is crucial for correctly manipulating matrix equations. Resources on basic matrix operations can further clarify these concepts.
Dixanadu
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Hi there again guys!

I didnt really know what to call this thread, because my problem isn't actually to do with how to manipulate the elements of the matrix itself, but rather how to deal with the actual symbol for the matrix in equations.

I'll start off with a fundamental thing, even though I'm not sure it makes sense. Suppose I have a matrix equation AB-1= C. Obviously the order matters unlike in regular algebra, so if I rearrange this for A, do i get A = BC or A = CB? how do I tell the order it needs to be in, generally?

Now I'll go onto a specific example. I need to prove that (AT)-1 = (A-1)T. My textbook makes sense until the last step. Here's what it says if I fill in some gaps:

1) Start with AA-1 = I = A-1A, where I is the identity matrix.
2) Transpose each term. So (AA-1)T = IT = (A-1A)T
3) Take AT out of the brackets: (A-1)TAT = AT(A-1)T.
4) Then it says "Clearly (A-1)T = (AT)-1"... I don't really get how that comes about, feels like it got plucked out of nowhere, unless I am missing something stupid. I think mainly my problem is that I am pretty new to this whole thing so I don't understand some basic operations. So if you guys know of some material online that maybe goes over this sort of thing, I'd love to check it out.

Thanks guys!
 
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AB^-1 = C

multiply each side by B from the right,

(AB^-1)B = CB

Use the identity B^-1*B = I to say A = CB.

It's important to make sure that when you multiply each side of an equation by a matrix, you multiply it from the correct direction, eg. if A = B, AC =/= CB in general. If you multiply both sides by C, the C must either go on the far left end or on the far right end. CA = CB and AC = BC. In short, matrix multiplication is non-commutative, so the order of operations matters.

Regarding the proof... in step 3, they lose the "= I =" middle section, but both LHS and RHS still equal the identitiy matrix, so what you really have is two separate expressions that both equal I (I^T = I). If you write these down and compare them to the definition of the matrix inverse, it should be exactly enough proof to show that (A^T)^-1 = (A^-1)^T
 
Dixanadu said:
I'll start off with a fundamental thing, even though I'm not sure it makes sense. Suppose I have a matrix equation AB-1= C. Obviously the order matters unlike in regular algebra, so if I rearrange this for A, do i get A = BC or A = CB? how do I tell the order it needs to be in, generally?
Remember how you get rid of B-1: You multiply both sides with B on the right side and get:
AB-1B= CB
Afterwards, you can use B-1B = I and get A=CB
If you would multiply with B on the left side, you would get BAB-1= BC, but that cannot be simplified in the same way.
No need to guess the result, you can derive it step by step.

Now I'll go onto a specific example.
In steps 3-4, remember that both sides are still equal to I. Therefore, you found a matrix which, multiplied by AT, gives I - it is the inverse of AT.
 
These two posts are almost word for word and at the same time. It's nice that someone verifies I'm not talking rubbish every now and then!
 
Here is a little puzzle from the book 100 Geometric Games by Pierre Berloquin. The side of a small square is one meter long and the side of a larger square one and a half meters long. One vertex of the large square is at the center of the small square. The side of the large square cuts two sides of the small square into one- third parts and two-thirds parts. What is the area where the squares overlap?

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