Proving a matrix is orthogonal.

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    Matrix Orthogonal
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Homework Help Overview

The discussion revolves around proving that a matrix is orthogonal, specifically referencing a question from an attached paper. The original poster attempts to clarify the definition of an orthogonal matrix and its relationship with transposes and inverses.

Discussion Character

  • Exploratory, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the definition of the inverse of a matrix and question the clarity of the original poster's notation. They suggest breaking down the proof into specific steps, such as finding the transpose and inverse of the matrix and comparing them.

Discussion Status

The discussion is ongoing, with some participants providing guidance on how to approach the proof. There is an acknowledgment of missing information and clarification needed regarding the definitions used by the original poster.

Contextual Notes

There is a mention of an attached paper that was initially missing, which may contain relevant information for the problem. Participants also note the importance of correctly defining terms and the summation involved in the context of matrix operations.

Lucy Yeats
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Homework Statement



Question 10a of the attached paper.


Homework Equations





The Attempt at a Solution



If a matrix is orthogonal, its transpose is its inverse.

The inverse U^{-1} is defined by ƩU^{-1}ij Vj = uj

I don't know how to go about proving this. Thanks for any help!
 

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There is no attached paper! Also your given definition of "inverse" can't be true because it makes no sense- you haven't said what Vj and uj are (and you must mean ui, not uj because you should be summing over j). If you are given a specific matrix, you need to answer three questions:
1) What is its transpose?
2) What is its inverse?
3) Are they the same?
 
I attached the paper about a minute after I posted; I think it's there now. :-)
 
Also, the sum is from j=1 to n. So the ith element of the vector u is the sum of the elements of one row of the matrix U with the elements of the vector j.
 
Take the inner product of vi and vj using their expansion in terms of u's, and consider how your answer relates to matrix multiplication
 

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