MHB JustCurious's question at Yahoo Answers (Diagonalization)

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The discussion focuses on the diagonalization of matrices with mutually orthogonal eigenvectors, specifically addressing the matrix A represented as A = UDU^-1, where D is diagonal and U consists of the eigenvectors. The key suggestion is to replace U^-1 with U^T, which is valid for orthogonal matrices, and then take the transpose of both sides. This leads to the conclusion that A is equal to its transpose, demonstrating that A is symmetric. The properties of transposition and orthogonality are crucial in this proof. The discussion emphasizes the relationship between diagonalization and symmetry in matrices.
Fernando Revilla
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Here is the question:

his problem is about diagonalization of matrices A which have n mutually orthogonal eigenvectors, each of which has length one. It is customary to write U for the matrix with columns constructed from the eigenvectors. The problem is straightforward, but requires you to follow a given suggestion. Here is the problem, followed by the suggestion.
Suppose A = UDU^-1;
where D is diagonal and U is given as above. The entries of D; U are real numbers. Show that A is equal to its transpose matrix.
Suggestion: In the diagonalization formula for A, replace U^-1 by U^T (this is valid for such matrices) and then take the transpose of both sides. Compare.
In the literature, A is called symmetric, and U is called orthogonal.

Here is a link to the question:

Diagnalization with matrices? - Yahoo! Answers


I have posted a link there to this topic so the OP can find my response.
 
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Hello JustCurious,

We have $U^{-1}=U^T$, hence $A=UDU^T$. Then, using well kown properties of transposition $$A^T=(UDU^T)^T=(U^T)^TD^TU^T=UDU^T=A$$
 
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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