How can I apply the concept of singularity to the matrix AB and BA?

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In summary, the conversation discusses a mathematical proof involving matrices. It is stated that if the dimensions of two matrices, A and B, do not match, then at least one of the matrices AB or BA will be singular. The attempt at a solution explains this concept further by using linear transformations and the fact that a matrix cannot map a space onto a higher-dimensional space. The conversation also briefly mentions the use of determinants in solving the problem.
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seyma
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Homework Statement


I have a trouble in this proof;
Let A be an m[tex]\times[/tex]n matrix and B n[tex]\times[/tex]m matrix. If m[tex]\neq[/tex]n show that at least one of the matrices AB and BA is singular.

Homework Equations



If it is singular not invertible and det=0 but how can I apply this question?

The Attempt at a Solution

 
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First assume that m< n. Then A is a linear transformation from Rm to Rn with m< n and so cannot map Rm onto Rn: it maps Rm into an at most m dimensional subspace of Rn. B maps all of Rn into Rm. Let v be vector in Rn that is NOT in the image of A. (AB)v= A(Bv) is in the image of A and so cannot be equal to v.

If n< m, reverse A and B.
 

1. What is a singular matrix?

A singular matrix is a square matrix with a determinant of zero. This means that the matrix is not invertible and has no unique solution.

2. What is the significance of a singular matrix?

A singular matrix has no inverse, which means it cannot be used to solve a system of equations. This can be a problem in many applications where finding a unique solution is necessary.

3. Can a matrix AB be singular if both A and B are non-singular?

Yes, it is possible for a matrix AB to be singular even if both A and B are non-singular. This can occur if the columns or rows of A and B are linearly dependent, resulting in a determinant of zero for AB.

4. How does a singular matrix affect computations?

A singular matrix can cause issues in computations, as it cannot be inverted and may not have a unique solution. This can lead to errors or incorrect results in calculations involving a singular matrix.

5. How can a singular matrix be identified?

A singular matrix can be identified by calculating its determinant. If the determinant is equal to zero, then the matrix is singular. Alternatively, it can also be identified by checking if the matrix is invertible or if it has a unique solution for a system of equations.

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