Practice Test Solutions: Derivation of [ -4/3, 1/3, 1 ] with Red Correction

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In summary, the author found that the null space of $A$ is the set of all vectors in the space that satisfy 3x+ 4z= 0.
  • #1
karush
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Ok I didn't understand how he derived the

$\left[\begin{array}{c}-4/3\\1/3\\1 \end{array}\right]$

where the red correction is
 

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  • #2
For the rref form of $A,$ I get
$$A_{\text{rref}}=\left[\begin{matrix}1&0&4/3\\0&1&-1/3\\0&0&0\end{matrix}\right].$$
To find the null space of $A,$ you're essentially solving $A\mathbf{x}=0$ for $\mathbf{x}$. You can see that you have the equations
\begin{align*}
x+(4/3)z&=0\\
y-(1/3)z&=0
\end{align*}
to solve. One solution is $z=1, y=1/3, x=-4/3.$ Any multiple of this vector is also a solution, as $A(t\mathbf{x})=t(A\mathbf{x})=t\cdot 0=0.$

I'm not entirely sure the author's form of $A_{\text{rref}}$ is correct, but the null space calculation is correct.
 
  • #3
ok couldn't see where the negative came from
 
  • #4
Personally, I wouldn't have reduced the matrix. The null space is, of course, the set of all [tex]\begin{bmatrix}x \\ y \\ z \end{bmatrix}[/tex] such that [tex]\begin{bmatrix}1 & 1 & 1 \\ 2 & -1 & 3 \\ -1 & 2 & -2\end{bmatrix}\begin{bmatrix}x \\ y \\ z\end{bmatrix}= \begin{bmatrix} x+ y+ z \\ 2x- y+ 3z \\ -x+ 2y- 2z\end{bmatrix}= \begin{bmatrix} 0 \\ 0 \\ 0 \end{bmatrix}[/tex] which is the same as the three equations
x+ y+ z= 0
2x- y+ 3z= 0
-x+ 2y- 2z= 0.

Adding the first two equations eliminates y leaving 3x+ 4z= 0. Adding twice the second equation to the third also eliminates y and leaves the same 3x+ 4z. Any [tex]\begin{bmatrix}x \\ y \\ z \end{bmatrix}[/tex] in the null space must satisfy 3x+ 4z= 0. Solve that for x: [tex]x= -\frac{4}{3}z[/tex]. Then [tex]x+ y+ z= -\frac{4}{3}z+ y+ z= y- \frac{1}{3}z= 0[/tex] so [tex]y= \frac{1}{3}z[/tex]s. Any vector in the null space is of the form [tex]\begin{bmatrix}-\frac{4}{3} \\ \frac{1}{3} \\ 1\end{bmatrix}z[/tex]. We can take z= 1 and say that any vector in the null space is a multiple of [tex]\begin{bmatrix}-\frac{4}{3}\\ \frac{1}{3} \\ 1\end{bmatrix}[/tex].

(Some of use, who don't like fractions, might be inclined to take z= -3 and say that any vector in the null space is a multiple of [tex]\begin{bmatrix}4 \\ -1 \\ -3 \end{bmatrix}[/tex].)
 

FAQ: Practice Test Solutions: Derivation of [ -4/3, 1/3, 1 ] with Red Correction

How do you derive the values of [-4/3, 1/3, 1] in the practice test solution?

The values of [-4/3, 1/3, 1] can be derived by using the red correction method, which involves correcting the values based on a red filter. This filter helps to correct for any errors or discrepancies in the data.

What is the significance of the red correction in the practice test solution?

The red correction is important because it helps to improve the accuracy of the data by correcting any errors that may have occurred during the experiment. This ensures that the results obtained are reliable and can be used for further analysis.

How does the red correction affect the final values of [-4/3, 1/3, 1] in the practice test solution?

The red correction has a direct impact on the final values of [-4/3, 1/3, 1] as it helps to adjust and correct any errors in the data. Without the red correction, the final values may be inaccurate and may not reflect the true values of the experiment.

Can the red correction method be applied to other types of data analysis?

Yes, the red correction method can be used in various types of data analysis where errors may occur. It is a common technique used in scientific research to improve the accuracy and reliability of data.

How can the results of the practice test solution be validated?

The results of the practice test solution can be validated by conducting multiple trials and comparing the results. Additionally, the data can also be compared to previous studies or theoretical predictions to ensure accuracy. Peer review and replication of the experiment can also help to validate the results.

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