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Prove that whenever A and B are matrices for which AB is defined, then (B^T)(A^T) is also defined. Then show (AB)^T=(B^T)(A^T). (transpose)

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So what does it mean AB is defined?
I'm guessing, if A is an m x n matrix and B is an n x p matrix
...then AB will be defined as the m x p matrix

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Other answers:

Well my book says the transpose of a product of any number of matrices is the product of the tranposes in the reverse order.
my prof always starts of a proof asking "What do we know"
So we know that AB is defined
I guess i'm having trouble understanding this whole "ijth" entry thing, I didn't understand it much in lecture and my book doesn't expand
can you tell me what topic it is?
n-Dimensional Geometry: Matrix Multiplication the book says that the matrix product AB is the mxp matrix whose ijth entry is the dot product of the ith row of A and the jth column of B (considered as vectors in R^n)
check out this webpage it explains matrix multiplication in easy to understand language
thank you!
you're welcome
did that help?
a little, i looked into my book a bit more and convinced myself that the ijth entry of AB is \[\sum_{k}^{n}\] \[a _{ik}b _{kj}\] , which equals the jith entry of \[B ^{T}A ^{T}\] which is \[\sum_{k}^{n} b _{kj}a _{ik}\]

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