Finding basis for null(A) and null(AP)

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In summary, the conversation discusses proving that the bases of null(A) and null(AP) have the same number of elements, using the assumption that {X1, X2, ... Xm} is a basis of null(A). The conversation also includes a proof by contradiction using P^-1, where P is an invertible matrix. The contradiction arises when assuming that {P^-1X1, P^-1X2, ..., P^-1Xm} is not independent, leading to the conclusion that the initial assumption must be true.
  • #1
jumbogala
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Homework Statement


A is a mxn matrix, and P is an invertible nxn matrix.

So I want to prove that the bases of null(A) and null(AP) have the same number of elements.


Homework Equations





The Attempt at a Solution


I was going to start off by assuming that {X1, X2, ... Xm} is a basis of null(A). This is my first issue. Can I really just assume that?

So AXi = 0, following the definition of null space. Then V-1Xi is in null(AV), since AV(V-1Xi) = 0. Somehow I need to get from that to the fact that {V-1X1, V-1X2, ... V-1Xm} is independent. But how?

I can prove that {V-1X1, V-1X2, ... V-1Xm} spans null(A), I just need to know that it's independent for it to be a basis. And if it is, then it has m elements and so does null(A)'s basis.
 
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  • #2
jumbogala said:

Homework Statement


A is a mxn matrix, and P is an invertible nxn matrix.

So I want to prove that the bases of null(A) and null(AP) have the same number of elements.


Homework Equations





The Attempt at a Solution


I was going to start off by assuming that {X1, X2, ... Xm} is a basis of null(A). This is my first issue. Can I really just assume that?
Yes, null(A) is a vector space and every vector space has a basis.

So AXi = 0, following the definition of null space. Then V-1Xi is in null(AV), since AV(V-1Xi) = 0. Somehow I need to get from that to the fact that {V-1X1, V-1X2, ... V-1Xm} is independent. But how?
Where did "V" come from? There was no mention of V before. Did you mean P?

I can prove that {V-1X1, V-1X2, ... V-1Xm} spans null(A), I just need to know that it's independent for it to be a basis. And if it is, then it has m elements and so does null(A)'s basis.[/QUOTE]
Proof by contradiction: Suppose [itex]\{P^{-1}X1, P^{-1}X2, ..., P^{-1}Xm}[/itex] is NOT independent. Then there exist numbers [itex]a_1, a_2, ..., a_m[/itex], not all 0, such that [itex]a_1P^{-1}X1+ a_2P^{-1}X2+ ...+ a_mP^{-1}Xm= 0[/itex]. Since P, and so [itex]P^{-1}[/itex], is a linear tranformation, that is the same as [itex]P^{-1}a_1X1+ a_2P^{-1}X2+ ...a_mP^{-1}Xm= P^{-1}(a_1X1+ a_2X2+ ...+ a_mXm)= 0[/itex]. Now take P of both sides.
 
  • #3
I'm confused about where the contradiction is.

Taking P of both sides, you'd end up with PP-1{a1X1 + a2X2 + ... amXm} = P0

Then {a1X1 + a2X2 + ... + amXm) = 0

Doesn't that support the initial assumption? How do you know that a1, a2, ... am above aren't all zero?

EDIT: I think I just figured it out. Because a1X1 + a2X2... was my first basis, it has to be independent. Correct?
 
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FAQ: Finding basis for null(A) and null(AP)

What is the definition of null space?

The null space, also known as the kernel, of a matrix A is the set of all vectors x such that Ax = 0.

How do you find the basis for null(A)?

To find the basis for the null space of matrix A, you can use Gaussian elimination or the reduced row echelon form to solve the system of equations Ax = 0. The basic variables correspond to the columns of the basis matrix.

What is the relationship between null(A) and null(AP)?

The null space of matrix AP is a subset of the null space of A. This means that any vector x that satisfies APx = 0 will also satisfy Ax = 0. Therefore, the basis for null(AP) will be a subset of the basis for null(A).

Can there be more than one basis for null(A)?

Yes, there can be infinitely many bases for the null space of a matrix A. This is because any linear combination of the basis vectors will also be a basis for the null space.

How does finding the basis for null(A) and null(AP) help in solving linear equations?

The basis for the null space of a matrix A can be used to find the special solutions to the corresponding homogeneous linear system Ax = 0. Similarly, the basis for null(AP) can be used to find the special solutions to the system APx = 0. These special solutions can be combined with the particular solution to the linear system to obtain the general solution.

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