Permutation Matrices: Proving P Inverse = P Transpose

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Permutation matrices are square matrices that represent row interchanges of the identity matrix. The key property discussed is that the inverse of a permutation matrix P is equal to its transpose, denoted as P^T. This relationship holds because the rows of P form an orthonormal basis in R^n, which leads to the conclusion that PP^T equals the identity matrix. Understanding this property is essential for various applications in linear algebra and combinatorics. The discussion emphasizes the importance of recognizing the structure of permutation matrices in proving this relationship.
EvLer
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I can't proove why P inverse = P transpose always!
P is the permuation matrix, i.e. a matrix is identity but the rows can be interchanged.
Thanks in advance.
 
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I can offer no other advice than that you should just write down PP^t (the rows of P are an ******* basis of R^n - fill in the *******).
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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