Write the complete solution as the particular solution plus any multip

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Homework Help Overview

The problem involves solving a system of linear equations and expressing the complete solution as a particular solution plus a multiple of a vector in the nullspace. The equations given are: x + 3y + 3z = 1, 2x + 6y + 9z = 5, and -x - 3y + 3z = 5.

Discussion Character

  • Exploratory, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the method of row reduction and its effectiveness in finding a particular solution and the nullspace. Questions arise regarding the notation used for the constant in the solution and the reasoning behind the use of x_2 as a parameter.

Discussion Status

There is an ongoing exploration of the problem with participants clarifying their understanding of the solution components. Some participants have confirmed their approaches and expressed satisfaction with their findings, while others are still seeking clarity on specific terms and notation.

Contextual Notes

Participants mention the notation differences, such as the use of curly brackets from Wolfram Alpha, and discuss the implications of the augmented matrix in relation to the solution process.

s3a
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Homework Statement


Could someone please help me do this problem?:

“Write the complete solution as x_p plus any multiple of s in the nullspace:
x + 3y + 3z = 1
2x + 6y + 9z = 5
–x – 3y + 3z = 5”

The answer is x = x_p + x_n = {{-2},{0},{1}} + x_2 {{-3, 1, 0}}.

Homework Equations


Ax = b

The Attempt at a Solution


I get the {{-2},{0},{1}} and {{-3},{1},{0}} but, I don't get how the x_2 was obtained there.

Any input would be really appreciated!
 
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s3a said:

Homework Statement


Could someone please help me do this problem?:

“Write the complete solution as x_p plus any multiple of s in the nullspace:
x + 3y + 3z = 1
2x + 6y + 9z = 5
–x – 3y + 3z = 5”

The answer is x = x_p + x_n = {{-2},{0},{1}} + x_2 {{-3, 1, 0}}.

Homework Equations


Ax = b

The Attempt at a Solution


I get the {{-2},{0},{1}} and {{-3},{1},{0}} but, I don't get how the x_2 was obtained there.

Any input would be really appreciated!

Did you try solving the system by row reduction?
 
hi s3a! :smile:

(try using the X2 button just above the Reply box :wink::
s3a said:
I get the {{-2},{0},{1}} and {{-3},{1},{0}} but, I don't get how the x_2 was obtained there.

i've no idea why they've written x2 :confused:

we'd normally use C (for "constant"! :biggrin:)

(btw, why are you using so many curly brackets, instead of fewer, ordinary brackets?)
 


Also, are you sure the problem is copied correctly? I don't think your solution works.

[Edit] Yes it does work, arithmetic mistake here.
 
Last edited:


Sorry. I double-posted. This website should have some sort of mechanism where you can't post twice until 10 seconds elapse or something like that.
 


LCKurtz, I did use row reduction. Also, thanks for telling me about the existence of the x_2 button and, yes, the solution was copied down correctly. Letting c = 1, for example, yields a solution to the system of equations so, it works. :)

tiny-tim, the abundance of curly brackets is Wolfram Alpha's notation for emphasizing that the vectors are vertical.

Okay, so basically x_2 = c is a constant. That pretty much helped me see through my confusion, lol!

Thanks!
 


s3a said:
LCKurtz, I did use row reduction. Also, thanks for telling me about the existence of the x_2 button and, yes, the solution was copied down correctly. Letting c = 1, for example, yields a solution to the system of equations so, it works. :)

tiny-tim, the abundance of curly brackets is Wolfram Alpha's notation for emphasizing that the vectors are vertical.

Okay, so basically x_2 = c is a constant. That pretty much helped me see through my confusion, lol!

Thanks!

So you solved it OK with row reduction and all is well, right?
 


Yes.

To elaborate, I solved it augmented with b and that allowed me to get a particular solution and then took that fully-row-reduced matrix and took away the last column (=the augmented column) and replaced it with zeroes and that gave me the other part which, when all multiples of it are summed with the particular solution, all solutions are obtained.

(Sorry for the sloppy explanation, I am sleepy as I write this.)

(If anyone knows what that other part is called, I'd be interested in knowing.)
 


s3a said:
Yes.

To elaborate, I solved it augmented with b and that allowed me to get a particular solution and then took that fully-row-reduced matrix and took away the last column (=the augmented column) and replaced it with zeroes and that gave me the other part which, when all multiples of it are summed with the particular solution, all solutions are obtained.

(Sorry for the sloppy explanation, I am sleepy as I write this.)

(If anyone knows what that other part is called, I'd be interested in knowing.)

The part you got with the specific vector is called a 'particular solution'. The part with the parameter you got from Ax=0 is the 'homogeneous solution'.
 
  • #10


Oh, you ... I remember that term! Thanks!
 
  • #11


s3a said:
Yes.

To elaborate, I solved it augmented with b and that allowed me to get a particular solution and then took that fully-row-reduced matrix and took away the last column (=the augmented column) and replaced it with zeroes and that gave me the other part which, when all multiples of it are summed with the particular solution, all solutions are obtained.

(Sorry for the sloppy explanation, I am sleepy as I write this.)

(If anyone knows what that other part is called, I'd be interested in knowing.)

Of course, you don't have to solve it twice like that. For example if your reduced augmented matrix came out$$
\begin{bmatrix}
1&3&0&-2\\
0&0&1&1\\
0&0&0&0
\end{bmatrix}$$that corresponds to the two equations
x + 3y = -2
z = 1
So you can let y be anything, say y = c and write the solution like this$$
\begin{bmatrix}
x\\
y\\
z\end{bmatrix}=
\begin{bmatrix}
-2-3c\\
c\\
1
\end{bmatrix}=\begin{bmatrix}
-2\\
0\\
1
\end{bmatrix}+c\begin{bmatrix}
-3\\
1\\
0
\end{bmatrix}
$$and you have it.
 

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