Range & Null space of A matrix

In summary: Once we have x1, we can plug it into the original equation to solve for x2. So N(A) helps us solve for x1 and R(A) helps us solve for x2.In summary, the columns of a matrix A relate to the range of A, and the range and null space of A play important roles in solving equations involving A. Specifically, the null space helps us solve for one set of unknowns, while the range helps us solve for the remaining unknowns.
  • #1
squenshl
479
4

Homework Statement


Let x [itex]\in[/itex] RN, y [itex]\in[/itex] RM & A [itex]\in[/itex] RMxN be a matrix. Denote the columns of A by Ak, k = 1,...,N. Let R(A) & N(A) be the range & null space of A respectively.
a) How do the colmuns of A relate to the range of A?
b) Your task is to find the solution to the problem y = Ax, where y & A are known & M = N. What role do R(A) & N(A) play?
c) Let RN [itex]\ni[/itex] x = (x1,x2), x1 [itex]\in[/itex] RN1, x2 [itex]\in[/itex] RN2 & N1 + N2 = N. Let A [itex]\in[/itex] RN1xN & consider the problem Ax = 0. Assume that you know x2. Solve for x


Homework Equations





The Attempt at a Solution


a) This is easy, the column space of A is just the range of A.
b) Do we just use the definitions of R(A) and N(A)?
c) I have no idea on this one.
Any help please.
 
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  • #2
be careful mixing N(A)=Nullspace and N=number of columns - I would use n instead for the number of columns, m for rows
 
  • #3
for b), what would happen if y is not in the range of A?
 
  • #4
for c) consider writing a as 4 matrices to understand how it works
[tex] \begin{pmatrix}
B & C \\
D & E
\end{pmatrix}[/tex]

with
B - n1 x n1
C - n1 x n2
D - n2 x n1
E - n2 x n2

then consider the product
[tex] Ax = \begin{pmatrix}
B & C \\
D & E
\end{pmatrix}x = \begin{pmatrix}
B & C \\
D & E
\end{pmatrix}\begin{pmatrix}
x_1 \\
x_2
\end{pmatrix}[/tex]

bit of an abuse of notation, but hopefully its clear what we're trying to do
 
  • #5
Bx1 + Cx2 = 0
Dx1 + Ex2 = 0

Is that correct mate, if so I'm lost on what to do next?
 
  • #6
Still lost on this question.
 
  • #7
If x2 is known what does that mean for x1 and in turn x.
 
  • #8
well solving for x is essentially solving for x_1 as x_2 is known
 
  • #9
Now re-arranging the equation we get

[tex] Ax = \begin{pmatrix}
B & C \\
D & E
\end{pmatrix}x = \begin{pmatrix}
B & C \\
D & E
\end{pmatrix}\begin{pmatrix}
x_1 \\
x_2
\end{pmatrix} = 0
[/tex]

[tex] Ax = \begin{pmatrix}
B \\
D
\end{pmatrix}x_1 = - \begin{pmatrix}
C \\
E
\end{pmatrix}
x_2
[/tex]

this is a system of N equations with N1 unknowns
 

Related to Range & Null space of A matrix

1. What is the range of a matrix?

The range of a matrix is the set of all possible output values that can be obtained by multiplying the matrix with different input vectors. In other words, it is the span of the columns of the matrix.

2. How is the null space of a matrix defined?

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

3. Can the range and null space of a matrix be the same?

No, the range and null space of a matrix are two distinct subspaces and can never be the same. This is because the range consists of all possible outputs while the null space consists of all vectors that produce a zero output.

4. How can the range and null space of a matrix be calculated?

The range of a matrix can be calculated by finding the linearly independent columns of the matrix. The null space can be calculated by finding the basis of the null space, which is the set of linearly independent vectors that span the null space.

5. Why are the range and null space of a matrix important?

The range and null space of a matrix provide important information about its properties and behavior. For example, the range of a matrix can determine if the matrix is invertible and the null space can give insight into the solutions of a system of linear equations. Additionally, these concepts are fundamental in understanding linear transformations and their applications in fields such as engineering and data science.

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