About Singular and Symmetric Matrix

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The discussion focuses on two statements regarding square matrices: if AA^T is singular, then A is also singular, and if A^2 is symmetric, then A is symmetric. The participants express uncertainty about the validity of these statements and seek hints for solving the problem. It is noted that if the product of two matrices is singular, at least one of the matrices must also be singular. Additionally, the zero matrix is mentioned as an example of a symmetric matrix. Understanding these concepts is essential for practicing matrix properties effectively.
jack1234
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I would like to know the statement is always true or sometimes false, and what is the reason:
A is a square matrix
P/S: I denote transpose A as A^T
1)If AA^T is singular, then so is A;
2)If A^2 is symmetric, then so is A.
 
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Is this homework? What have you tried?
 
This is not homework, I just want to practise more.
About the question, I have no hint whether the statement is correct or false.
Can you give me some hint so i can start solving this problem?
 
Ok, if AB is singular, can you say anything about A or B? Also, when checking if a matrix is symmetric, the natural thing to do is look at its transpose.

EDIT: Sorry, I read your second question backwards (ie, to show A^2 is symmetric if A is). As a hint for your actual question, note that the zero matrix is symmetric.
 
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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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