1.3.11 Determine if b is a linear combination

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Discussion Overview

The discussion revolves around determining whether the vector \( b \) can be expressed as a linear combination of the vectors \( a_1 \), \( a_2 \), and \( a_3 \). The context includes mathematical reasoning and the use of augmented matrices to analyze the relationships between these vectors.

Discussion Character

  • Mathematical reasoning
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant presents the vectors \( a_1 \), \( a_2 \), \( a_3 \), and \( b \), along with the reduced row echelon form (rref) of the augmented matrix, suggesting that \( b \) is not a linear combination based on the rref structure.
  • Another participant interprets the rref matrix, indicating that there are two equations and three unknowns, which implies the possibility of multiple solutions for \( x \), \( y \), and \( z \) in the equation \( xa_1 + ya_2 + za_3 = b \).
  • A participant expresses concern about the understanding of the term "linear combination," emphasizing the need for clarity on its definition and the conditions under which a vector can be considered a linear combination of others.
  • Further elaboration is provided on the equations derived from the linear combination, detailing how to express \( b \) in terms of \( a_1 \), \( a_2 \), and \( a_3 \) using coefficients \( C_1 \), \( C_2 \), and \( C_3 \).
  • One participant critiques the approach of jumping directly to the augmented matrix without understanding its derivation, suggesting a more foundational understanding of the problem is necessary.

Areas of Agreement / Disagreement

Participants express differing views on whether \( b \) can be considered a linear combination of \( a_1 \), \( a_2 \), and \( a_3 \). While some suggest that the rref indicates it is not a combination, others argue that the presence of two equations for three unknowns suggests potential solutions. The discussion remains unresolved regarding the definitive status of \( b \) as a linear combination.

Contextual Notes

There are limitations in the discussion regarding the assumptions made about the rref matrix and the interpretations of the equations derived from it. The understanding of the term "linear combination" and its implications for the problem is also a point of contention.

karush
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Determine if $b$ is a linear combination of $a_1,a_2$ and $a_3$
$$a_1\left[
\begin{array}{r}
1\\-2\\0 \end{array}\right],
a_2\left[
\begin{array}{r}
0\\1\\2
\end{array}\right],
a_3\left[
\begin{array}{r}
5\\-6\\8
\end{array}\right],
b=\left[
\begin{array}{r}
2\\-1\\6
\end{array}\right]$$
(rref) augmented matrix is
$$\left[
\begin{array}{ccc|c}
1 & 0 & 5 & 2 \\
0 & 1 & 4 & 3 \\
0 & 0 & 0 & 0
\end{array} \right]$$
from observation this is not a combination ok well I thot if the bottom row is all 0's then you have 2 equations and 3 answers so notalso, I thot (rref) was all just 1's or 0's
I did it on eMh
 
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karush said:
Determine if $b$ is a linear combination of $a_1,a_2$ and $a_3$
$$a_1\left[
\begin{array}{r}
1\\-2\\0 \end{array}\right],
a_2\left[
\begin{array}{r}
0\\1\\2
\end{array}\right],
a_3\left[
\begin{array}{r}
5\\-6\\8
\end{array}\right],
b=\left[
\begin{array}{r}
2\\-1\\6
\end{array}\right]$$
(rref) augmented matrix is
$$\left[
\begin{array}{ccc|c}
1 & 0 & 5 & 2 \\
0 & 1 & 4 & 3 \\
0 & 0 & 0 & 0
\end{array} \right]$$
from observation this is not a combination ok well I thot if the bottom row is all 0's then you have 2 equations and 3 answers so notalso, I thot (rref) was all just 1's or 0's
I did it on eMh
You want to know whether $b$ is a linear combination of $a_1$, $a_2$ and $a_3$. So you want to know whether the equation $xa_1 + ya_2 + za_3 = b$ can be solved for $x$, $y$ and $z$. The rref matrix tells you that this is equivalent to solving the equations $$x + 5z = 2,$$ $$y+4z=3$$ (two equations for three unknowns, so there should be plenty of solutions). Try taking it from there.
 
It is remarkable how many people on this and other boards post problem of the form "show that 'a' is an 'X'" without knowing the definition of 'X'! I would think that, in that situation, the first thing one would do is look up the definition of 'X'.
 
HallsofIvy said:
It is remarkable how many people on this and other boards post problem of the form "show that 'a' is an 'X'" without knowing the definition of 'X'! I would think that, in that situation, the first thing one would do is look up the definition of 'X'.

They are both coefficients
 
karush said:
They are both coefficients
I have no idea what this is supposed to mean or what "both" refers to here. The "X" in my previous post was the term "linear combination". I was concerned with whether or not you know the definition of "linear combination".

A vector "u" is a "linear combination" of vectors v_1, v_2, …, v_n if and only if there exist scalars (numbers) C_1, C_2, … , C_n such that C_1v_1+ C_2v_2+ \cdot\cdot\cdot+ C_nv_n= u.

Here the question is whether or not b= \begin{bmatrix}2 \\ -1 \\ 6 \end{bmatrix} is a linear combination of vectors a_1= <div style="text-align: left"><span style="font-family: 'Verdana'">\begin{bmatrix}1 \\ -2 \\ 0 \end{bmatrix}</span>&#8203;</div><span style="font-family: 'Verdana'"><br /> </span>
, a_2= <div style="text-align: left"><span style="font-family: 'Verdana'">\begin{bmatrix}0 \\ 1 \\ 2 \end{bmatrix}</span>&#8203;</div><span style="font-family: 'Verdana'"><br /> </span>
, and a_3= <div style="text-align: left"><span style="font-family: 'Verdana'">\begin{bmatrix}5 \\ -6 \\ 8 \end{bmatrix}</span>&#8203;</div><span style="font-family: 'Verdana'"><br /> </span>
.

That is, do there exist numbers, C_1, C_2, and C_3 such that C_1<div style="text-align: left"><span style="font-family: 'Verdana'">\begin{bmatrix}1 \\ -2 \\ 0 \end{bmatrix}+ C_2<div style="text-align: left"><span style="font-family: 'Verdana'">\begin{bmatrix}0 \\ 1 \\ 2 \end{bmatrix}+ C_3<div style="text-align: left"><span style="font-family: 'Verdana'">\begin{bmatrix}5 \\ -6 \\ 8 \end{bmatrix}= \begin{bmatrix}C_1+ 5C_2 \\ -2C_1+ C_2- 6C_3 \\ 2C_2+ 8C_3\end{bmatrix}= <div style="text-align: left"><span style="font-family: 'Verdana'">\begin{bmatrix}2 \\ -1 \\ 6 \end{bmatrix}</span>&#8203;</div><span style="font-family: 'Verdana'"><br /> </span></span>&#8203;</div><span style="font-family: 'Verdana'"><span style="font-family: 'Verdana'"><br /> </span></span></span>&#8203;</div><span style="font-family: 'Verdana'"><span style="font-family: 'Verdana'"><span style="font-family: 'Verdana'"><br /> </span></span></span></span>&#8203;</div><span style="font-family: 'Verdana'"><span style="font-family: 'Verdana'"><span style="font-family: 'Verdana'"><span style="font-family: 'Verdana'"><br /> </span></span></span></span>
.

That is the same as the three equations C_1+ 5C_2= 2, -2C_1+ C_2- 6C_3= -1, and 2C_2+ 8C_3= 6.

Yes, you can use the "augmented matrix" to solve those equations but jumping directly to that matrix makes me wonder if you understand where the matrix comes from rather than just using a memorized formula. From the first equation we get C_1= 2- 5C_2. From the third equation we get C_3= \frac{3}{4}- \frac{1}{4}C_2. Replacing C_1 and C_3 in the second equation with those, we get -2(2- 5C_2)+ C_2- 6\left(\frac{3}{4}- \frac{1}{4}C_2\right)= -4+ 10C_2+ C_2- \frac{9}{2}+ \frac{3}{2}C_2= \frac{25}{2}C_2- \frac{17}{2}= -1. \frac{25}{2}C_2= \frac{15}{2} so C_2= \frac{3}{5}. Then C_1= 2- 5C_2= 2- 3= -1 and C_3= \frac{3}{4}- \frac{1}{4}C_2= \frac{3}{4}- \frac{3}{20}= \frac{15- 3}{20}= \frac{3}{5}.

The problem only asked whether b could be written as a linear combination of the other vectors but showing that linear combination is the best way to show it exists.






 

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