Null Space of A: Find Rank & Dim.

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Discussion Overview

The discussion centers around finding a basis for the null space of a given matrix A, determining the dimension of the null space, and calculating the rank of A. The context includes mathematical reasoning and exploration of linear algebra concepts.

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Exploratory

Main Points Raised

  • One participant presents a matrix A and requests to find a basis for its null space, the dimension of the null space, and the rank of A.
  • Another participant suggests that by inspecting the equations derived from the matrix, certain variables can be expressed in terms of others, leading to a proposed basis for the null space.
  • A third participant notes that since there are 4 equations and 7 unknowns, the null space is expected to be 3-dimensional, indicating the need for 3 basis vectors.
  • One participant expresses uncertainty about verifying the linear independence of the proposed basis vectors.
  • Another participant explains how to prove the linear independence of the vectors by setting up a linear combination and showing that the only solution is the trivial one.

Areas of Agreement / Disagreement

Participants generally agree on the dimensionality of the null space being 3 and the need for 3 basis vectors. However, there is uncertainty expressed regarding the verification of linear independence, indicating that this aspect remains unresolved.

Contextual Notes

The discussion involves assumptions about the definitions of linear independence and the properties of the matrix A, which may not be explicitly stated. The steps to verify linear independence are not fully resolved in the discussion.

karush
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Let
$$\left[\begin{array}{rrrrrrr}
1 & 0 & -1 & 0 & 1 & 0 & 3\\
0 & 1 & 0 & 0 & 1 & 0 & 1\\
0 & 0 & 0 & 1 & 4 & 0 & 2\\
0 & 0 & 0 & 0 & 0 & 1 & 3
\end{array}\right]$$
Find a basis for the null space of A, the dimension of the null space of A, and the rank of A.ok following an book example I did this $Ax=b$
$$\left[ \begin{array}{ccccccc}
1 & 0 & -1 & 0 & 1 & 0 & 3 \\
0 & 1 & 0 & 0 & 1 & 0 & 1 \\
0 & 0 & 0 & 1 & 4 & 0 & 2 \\
0 & 0 & 0 & 0 & 0 & 1 & 3
\end{array} \right]
\left[ \begin{array}{c} x_{1} \\ x_{2} \\ x_{3} \\ x_{4} \\ x_{5} \\ x_{6} \\ x_{7}
\end{array} \right]
=\left[ \begin{array}{c} 0 \\ 0 \\ 0 \\ 0
\end{array} \right]$$
which would result in
$$\begin{array}{rrrrrrr}
x_1 & &-x_3 & &x_5 & &3x_7=0 \\
&x_2 & & &x_5 & &x_7 =0\\
& & & x_4 & 4x_5 & &2x_7=0 \\
& & & & & x_6 &3x_7=0
\end{array}$$ hopefully so far !
 
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It is clear (by inspection, working from the last equation upwards) that you can let $x_7,x_5,x_1$ be arbitrary, then $x_2,x_3,x_4,x_6$ can be expressed in terms of them as:
$$x_6\ =\ -3x_7 \\ x_4\ =\ -4x_5-2x_7 \\ x_2\ =\ -x_5-x_7 \\ x_3\ =\ x_1+x_5+3x_7.$$
Hence:
$$\begin{pmatrix} x_1 \\ x_2 \\ x_3 \\ x_4 \\ x_5 \\ x_6 \\ x_7\end{pmatrix}\ =\ x_1\underbrace{\begin{pmatrix} 1 \\ 0 \\ 1 \\ 0 \\ 0 \\ 0 \\ 0\end{pmatrix}}_{\mathbf v_1} + x_5\underbrace{\begin{pmatrix} 0 \\ -1 \\ 1 \\ -4 \\ 1 \\ 0 \\ 0\end{pmatrix}}_{\mathbf v_2} + x_7\underbrace{\begin{pmatrix} 0 \\ -1 \\ 3 \\ -2 \\ 0 \\ -3 \\ 1\end{pmatrix}}_{\mathbf v_3}.$$
Verify that $\mathbf v_1,\mathbf v_2,\mathbf v_3$ are linearly independent and thus form a basis for the nullspace of $A$; hence $A$ has nullity $3$. The rank of $A$ can then be found from the formula $r(A) = \dim(A)-n(A)$.
 
You have 4 equations in 7 unknowns so the null space is 7- 4= 3 dimensional. You will need 3 basis vectors.
 
Ok that was very helpful

Not sure if I would know the linear independence of these
 
You prove those vectors are independent using the definitions of "independent" or "dependent".
Suppose the three vectors given by Olinguito were NOT independent. Then there would exist numbers, a, b, and c, not all zero, such that
a\begin{pmatrix}1 \\ 0 \\ 1 \\ 0 \\ 0 \\ 0 \\ 0\end{pmatrix}+b\begin{pmatrix}0 \\ -1 \\ 1 \\ -4 \\ 1 \\ 0 \\ 0 \end{pmatrix}+c\begin{pmatrix} 0 \\ -1 \\ 3 \\ -2 \\ 0 \\ -3 \\ 1 \end{pmatrix}=\begin{pmatrix}a \\ -b- c \\ a+ b+ 3c \\ -4b- 2c \\ b \\ -3c \\ c\end{pmatrix}= \begin{pmatrix} 0 \\ 0 \\ 0 \\ 0 \\ 0 \\ 0 \\ 0 \end{pmatrix}.

That gives 7 equations: a= 0, -b- c= 0, a+ b+ 3c= 0, -4b- 2c= 0, b= 0, -3c= 0, c= 0. Clearly the only a, b, and c that satisfy all 7 equations are a= b= c= 0. Therefore the three vectors are independent.
 
Last edited:

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