How Do Direction Cosines Relate to the Kronecker Delta in Matrix Multiplication?

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The discussion revolves around proving the relationship between the direction cosine matrix (denoted as lmj and lsj) and the Kronecker delta (delta ms) in matrix multiplication. There is confusion regarding the notation and the nature of the matrices involved, specifically whether they represent a single transformation matrix or multiple matrices. Clarification is needed on how direction cosine matrices interact, as their product does not yield the identity matrix unless specific conditions are met. The importance of each column and row in a direction cosine matrix is emphasized, along with the implications of the dot product in this context. Overall, the conversation highlights the complexities of the relationship between direction cosines and the Kronecker delta in matrix operations.
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I have to prove the following.
lmj. lsj= delta ms m,j,s=1,2,3.
and lmj and lsj stands for direction cosine matrix. and (delta ms) is a Kronecker delta.


2. Cant think of any



The Attempt at a Solution

 
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Your nomenclature is very confusing. Is this one transformation matrix L indexed by m and j on one hand and indexed by s and j on the other? What is that dot? I have a guess regarding what you are trying to prove here, but it is just a guess. Please clarify.
 
l`s denote direction cosines and the dot represents the multiplication of the two matrices. And m,s,j take the values 1,2,3.
I guess you know the Kronecker delta means,
 
You have not clarified thing much. This nomenclature problem, too me, reflects a lack of understanding. You are not talking about "the multiplication of two matrices" because the product of two random direction cosine matrices is not the identity matrix. The standard matrix product of a direction cosine matrix with itself is not the identity matrix. The matrix product of a direction cosine matrix and one other matrix is the identity matrix. Why all this talk about identity matrices? Because \delta_{i,j} is just another way to write the identity matrix.

Some hints:
  • Each column (and each row, for that matter) of a direction cosine matrix represents something very important. What does a column in a direction cosine matrix represent?
  • What is the dot product of \hat {\boldsymbol i} with itself? With {\boldsymbol j} or {\boldsymbol k}?
  • How do the above two questions relate to the problem at hand?

It is getting late. Could someone else take over helping this person?
 
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