MHB Null Space of A: Find Rank & Dim.

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SUMMARY

The discussion focuses on finding the null space, rank, and dimension of the matrix A represented by the given 4x7 matrix. The basis for the null space consists of three linearly independent vectors: v1, v2, and v3. The nullity of A is determined to be 3, as there are 4 equations and 7 unknowns, leading to a dimensionality of 3 for the null space. Consequently, the rank of A is calculated using the formula r(A) = dim(A) - n(A), confirming that the rank is 4.

PREREQUISITES
  • Understanding of linear algebra concepts, specifically null space and rank.
  • Familiarity with matrix representation and operations.
  • Knowledge of linear independence and dependence of vectors.
  • Ability to solve systems of linear equations.
NEXT STEPS
  • Study the properties of null spaces in linear algebra.
  • Learn how to compute the rank of a matrix using row reduction techniques.
  • Explore the concept of linear independence in vector spaces.
  • Practice solving systems of linear equations using Gaussian elimination.
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Students and professionals in mathematics, particularly those studying linear algebra, as well as educators teaching these concepts. This discussion is beneficial for anyone looking to deepen their understanding of matrix theory and its applications.

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.
 
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