Determinant Properties

In summary, the conversation discusses the relationship between determinants and singularity, and how to prove certain statements involving these concepts. The first question addresses whether det(AB) = 0 implies det(A) or det(B) = 0, while the second question asks for a proof that a singular matrix with one solution to Ax = b must have infinitely many solutions. The third question involves proving that a matrix A^2 = A is either singular or has a determinant of 1. The overall approach is to use the definition of determinants and relate it to the concept of singularity in order to prove the statements.
  • #1
hkus10
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0
1) If det(AB) = 0, is det(A) or det(B) = 0? Give reasons for your answer.

Q1) First, cannot both det(A) or det(B) be 0? If it can, is this statement false. In any case, how can I prove that this is true for all statement since I only know how to find an example to show this is true, which cannot represent all the possibility.

2) Show that if A is singular and Ax = b, b is not equal to 0, has one solution, then it has infinitely many.

Q2) How to approach this question?

3) Let A^2 = A. Prove that either A is singular or det(A) = 1.

Q3) How can I approach this question?
 
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  • #2
hkus10 said:
1) If det(AB) = 0, is det(A) or det(B) = 0? Give reasons for your answer.

Q1) First, cannot both det(A) or det(B) be 0? If it can, is this statement false. In any case, how can I prove that this is true for all statement since I only know how to find an example to show this is true, which cannot represent all the possibility.
First, if det(A) = det(B) = 0, then the statement is most certainly true. "Or" does not mean "one or the other, but not both", it means at least one. What do you know about dets? For example, can you use the fact the det(AB)=det(A)det(B), if you can, this should be easy, so you probably can't. But, tell us what you are using as your definition of det, because there are various ways to define it.

[QUOTE
2) Show that if A is singular and Ax = b, b is not equal to 0, has one solution, then it has infinitely many.

Q2) How to approach this question?[/QUOTE]
How does singularity relate to the det? Work with that to see if it leads anywhere.

3) Let A^2 = A. Prove that either A is singular or det(A) = 1.

Q3) How can I approach this question?
Again, how does singularity (what does that mean, first of all) relate to determinents? That is if A is singular, what can you tell about its det?
 

What is a determinant?

A determinant is a mathematical concept that describes the properties of a square matrix. It is a single value that can be calculated from the elements of the matrix and is used to determine various properties of the matrix such as its invertibility and its relationship to other matrices.

How is the determinant of a matrix calculated?

The determinant of a matrix is calculated by using a specific formula that involves the elements of the matrix. For a 2x2 matrix, the formula is ad - bc, where a, b, c, and d are the elements of the matrix. For larger matrices, there are more complex formulas that can be used to calculate the determinant.

What are the properties of a matrix with a determinant of 0?

If the determinant of a matrix is 0, it means that the matrix is not invertible and is considered singular. This means that the matrix does not have a unique solution and there are infinite solutions to the system of equations represented by the matrix. Additionally, a matrix with a determinant of 0 cannot be used to find the inverse of another matrix.

How does the determinant of a matrix change when it is multiplied by a scalar?

When a matrix is multiplied by a scalar, the determinant is also multiplied by that scalar. This means that if the scalar is 2, the determinant will be twice its original value. However, if the scalar is 0, the determinant will also be 0, regardless of the original value.

What is the relationship between the determinant and the eigenvalues of a matrix?

The determinant of a matrix is equal to the product of its eigenvalues. This means that the determinant can be used to find the eigenvalues of a matrix, and vice versa. Additionally, if a matrix has a determinant of 0, it means that at least one of its eigenvalues is 0.

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