Proving transpose of orthogonal matrix orthogonal

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Homework Help Overview

The problem involves proving that the transpose of an orthogonal matrix is also orthogonal. The context is linear algebra, specifically focusing on properties of orthogonal matrices.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants discuss the definition of orthogonal matrices and explore the implications of the properties of matrix multiplication. There are attempts to clarify how to demonstrate that the diagonal entries of the product are 1, as well as questions about the necessity of proving the orthogonality of columns and their unit vector status.

Discussion Status

The discussion is ongoing, with participants providing insights into definitions and properties of orthogonal matrices. Some guidance has been offered regarding the definitions and equivalences, but there is no explicit consensus on the approach to take.

Contextual Notes

There is an assumption that the original poster understands the definition of orthogonal matrices, which may influence the direction of the discussion. Participants are also considering different definitions and their implications for the proof.

derryck1234
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Homework Statement



Show that if A is orthogonal, then AT is orthogonal.

Homework Equations



AAT = I

The Attempt at a Solution



I would go about this by letting A be an orthogonal matrix with a, b, c, d, e, f, g, h, i , j as its entries (I don't know how to draw that here)...but this would be a 3x3 matrix with entries a, b, c, d, e, f, g,h, i, j. I would then construct AT, and then multiply the two matrices. I should find that the non-diagonal entries are zero, but how would I show that the diagonal entries are 1?
 
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Use the fact that the columns are all orthogonal unit vectors.
 
Ok. I understand how I would prove that A times the transpose of A has orthogonal columns...but how would I prove they are unit vectors?
 
What definition are you using for an orthogonal matrix? Note that orthogonal unit vectors for rows and columns is equivalent to [itex]AA^T = A^TA=I[/itex]. The equivalence of these definitions is perhaps in your book or can certainly be found online.

I would use the second definition. A is orthogonal if and only if [itex]AA^T=A^TA = I[/itex]. To show [itex]A^T[/itex] is orthogonal, make use of the fact that [itex](A^T)^T=A[/itex].
 
If you're assumed that A is already orthogonal then you don't need to prove that the columns are orthogonal unit vectors. That's the definition of an orthogonal matrix, thus already being in your assumption that A is orthogonal.
 

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