Nullspace of a square matrix A and A^2 are related?

In summary, we are trying to show that if x is in the nullspace of a square matrix A, then it is also in the nullspace of A2. Part a is true because A2x = 0 whenever Ax = 0. However, for part b, we need to find a counterexample to show that x may not necessarily be in the nullspace of A if it is in the nullspace of A2. We can use the matrix A = [0 0; 0 1] to show this, as A2 = 0 even though A ≠ 0. Therefore, statement b is false.
  • #1
brownman
13
0

Homework Statement


Say that A is a square matrix. Show that the following statements are true, or give a counter example:
a) If x is in the nullspace of A, then x is in the nullspace of A2
b) If x is in the nullspace of A2, the x is in the nullspace of A.


Homework Equations





The Attempt at a Solution



I solved part a, or maybe I didn't. I said

"Ax=0 is our assumption.
A2x = A*Ax = A(0) = 0
so statement a is true."

However, for part b, I stated:

"A2x=0 is our assumption.
Let B=A2, so Bx=0 is true.
A*Ax = 0

We have no way of knowing if Ax is true yet.
However if we left multiply by the inverse of A,
we can see that Ax=0. Therefore the statement
b is true unless the determinant of A is zero,
and the inverse does not exist."

However, when trying any and all matrices, some with and some without a determinant equal to zero, and finding the nullspace of the matrix squared and checking it with the original matrix, it always returns a matrix of zero. Ideas? Thanks in advance.
 
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  • #2
brownman said:

Homework Statement


Say that A is a square matrix. Show that the following statements are true, or give a counter example:
a) If x is in the nullspace of A, then x is in the nullspace of A2
b) If x is in the nullspace of A2, the x is in the nullspace of A.


Homework Equations





The Attempt at a Solution



I solved part a, or maybe I didn't. I said

"Ax=0 is our assumption.
A2x = A*Ax = A(0) = 0
so statement a is true."

However, for part b, I stated:

"A2x=0 is our assumption.
Let B=A2, so Bx=0 is true.
A*Ax = 0

We have no way of knowing if Ax is true yet.
However if we left multiply by the inverse of A,
we can see that Ax=0. Therefore the statement
b is true unless the determinant of A is zero,
and the inverse does not exist."

However, when trying any and all matrices, some with and some without a determinant equal to zero, and finding the nullspace of the matrix squared and checking it with the original matrix, it always returns a matrix of zero. Ideas? Thanks in advance.

Part a looks fine.
Part b - see if you can find a matrix A (2 x 2 is fine) such that A2 = 0, even though A ≠ 0.
 
  • #3
Oh... Okay I get it now.

If I use the matrix

0 0
0 1 = A and

0 0
0 0 = A2

The nullspace of A2 has infinite solutions
and the nullspace of A will have at least one x value
that will have to be zero in order for it to be a valid
equation, so the A2 nullspace can not
transfer over.

Thanks :)
 

Related to Nullspace of a square matrix A and A^2 are related?

1. What is the nullspace of a square matrix A?

The nullspace of a square matrix A is the set of all vectors that, when multiplied by A, result in a zero vector. In other words, it is the set of all solutions to the equation Ax = 0.

2. How is the nullspace of a square matrix A related to A^2?

The nullspace of a square matrix A and A^2 are related because the nullspace of A^2 is a subset of the nullspace of A. This means that all vectors that satisfy the equation A^2x = 0 will also satisfy the equation Ax = 0.

3. Can the nullspace of a square matrix A and A^2 be equal?

Yes, it is possible for the nullspace of a square matrix A and A^2 to be equal. This can happen if A is a zero matrix or if A is a singular matrix (a matrix with no inverse).

4. How can the nullspace of a square matrix A be calculated?

The nullspace of a square matrix A can be calculated by finding the reduced row echelon form of A and then identifying the pivot columns. The basis for the nullspace can then be found by setting each non-pivot variable to a free variable and solving for the pivot variables.

5. What is the dimension of the nullspace of a square matrix A?

The dimension of the nullspace of a square matrix A is known as the nullity of A and is equal to the number of free variables in the basis for the nullspace. It is also equal to the number of columns of A minus the rank of A.

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