Proving Let A & B be Square Matrices of n x n & AB = 0n

In summary, the conversation discusses the proof that if two non-zero square matrices A and B of size n x n satisfy the equation AB = 0n, then both their determinants must also equal to 0. This is because if one determinant is non-zero, then that matrix has an inverse and multiplying both sides of the equation by that inverse leads to a contradiction. The conversation also mentions the fundamental theorem of linear algebra, which states that the nullspace of BA is the inverse image of the nullspace of B under A.
  • #1
zenn
2
0
Need some help on how to prove this:

Let A and B be two non-zero square matrices of n x n, if AB = 0n, then det(A) and det(B) must both equal to 0.

I know if det(AB) = 0, then det(A) or det(B) must be 0, but here the question states that they must both be 0.

Appreciate any help, thanks.
 
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  • #2
Suppose that not both are zero, let's take Det(A) to be nonzero. Then A has an inverse. In the equation:

A B = 0,


multiplying both sides by the inverse of A on the left then gives:

B = 0

But B was assumed to be different from the null matrix. So, we arrive at a contradiction. The assumption that Det(A) is nonzero has to be false!
 
  • #3
Count Iblis used, without saying it explicitely, the fact that a matrix is invertible if and only if its determinant is non-zero.
 
  • #4
The condition is even stronger - in addition to having zero determinants, the matrices can't have the same column space (or row space) either.
 
  • #5
when maps compose, the nullspace is at most as big as the sum of the dimensions of the individual nullspaces. you have a composition whose nullspace is maximal, yet neither individual one was. hence both nullspaces are positive dimensional.

i.e. N(A) was not everything, but N(AB) is everything, so the extra dimensions had to come from N(B).

this is the fundamental theorem of linear algebra, the inverse image under A of a finite dimensional space Y, is larger than Y at most by dimN(A).

it is applied here to Y = N(B), since the nullspace of BA is the inverse image of N(B) under A.

i just taught this topic today.
 

Related to Proving Let A & B be Square Matrices of n x n & AB = 0n

1. How do you prove that AB = 0n?

The most common way to prove that AB = 0n is by using the zero product property, which states that if the product of two numbers is zero, then at least one of the numbers must be zero. In this case, since AB = 0n, either A or B (or both) must be a zero matrix.

2. Can A and B be non-square matrices for AB = 0n to hold?

No, A and B must both be square matrices of n x n for AB = 0n to hold. This is because the number of columns in matrix A must be equal to the number of rows in matrix B for matrix multiplication to be defined.

3. What does 0n represent in AB = 0n?

0n represents a zero matrix of size n x n. This means that all elements in the matrix are equal to zero.

4. Are there any exceptions to the rule that AB = 0n if A or B is a zero matrix?

Yes, there is one exception. If A and B are both zero matrices, then AB will also be a zero matrix. However, if only one of the matrices is a zero matrix, then AB will not be equal to 0n.

5. Can you provide an example of A and B that satisfy AB = 0n?

Yes, for example, let A be a matrix of all zeros and B be a matrix of all ones. In this case, AB will be a zero matrix of the same size as A and B, satisfying the equation AB = 0n.

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