MHB Is a Shifted Solution Still Valid?

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A shifted solution of a homogeneous system of equations, represented as \(\left ( \begin{matrix} x_{1}+1\\ x_{2}+1\\ x_{3}+1 \end{matrix} \right )\), is not generally valid unless the vector \((1,1,1)\) is also a solution to the system. The original solution \(\left ( \begin{matrix} x_{1}\\ x_{2}\\ x_{3} \end{matrix} \right )\) satisfies \(A\mathbf{x} = \mathbf{0}\), and for the shifted solution to hold, it must also satisfy \(A\mathbf{1} = \mathbf{0}\). This indicates that \((1,1,1)\) must be an eigenvector of the matrix \(A\) with an eigenvalue of 0. Therefore, the shifted solution is valid only under specific conditions related to the eigenvectors of the matrix. The discussion concludes that while the shifted solution is not universally applicable, it can be valid if certain criteria are met.
Yankel
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Hello all

A simple question.

It is known that

\[\left ( \begin{matrix} x_{1}\\ x_{2}\\ x_{3} \end{matrix} \right )\]

is a solution of a homogenous system of equations.

I need to determine if

\[\left ( \begin{matrix} x_{1}+1\\ x_{2}+1\\ x_{3}+1 \end{matrix} \right )\]

is also a solution, and why ?

thank you !
 
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Yankel said:
Hello all

A simple question.

It is known that

\[\left ( \begin{matrix} x_{1}\\ x_{2}\\ x_{3} \end{matrix} \right )\]

is a solution of a homogenous system of equations.

I need to determine if

\[\left ( \begin{matrix} x_{1}+1\\ x_{2}+1\\ x_{3}+1 \end{matrix} \right )\]

is also a solution, and why ?

thank you !

Hi Yankel,

That depends.

A homogenous system means that $A\mathbf x=\mathbf 0$.

So when would $A(\mathbf x + \mathbf 1)=\mathbf 0$ also be a solution? (Wondering)
 
I am not sure. I will guess. Maybe when the solution is (-1,-1,-1) and then x+1 is the trivial solution ?
 
Yankel said:
I am not sure. I will guess. Maybe when the solution is (-1,-1,-1) and then x+1 is the trivial solution ?

Can you simplify:
$$\mathbf A(\mathbf x + \mathbf 1) = \mathbf 0$$
using $\mathbf A \mathbf x = \mathbf 0$ and the properties of linear transformations, which are:
$$\begin{cases}\mathbf A(\mathbf a + \mathbf b) = \mathbf A \mathbf a + \mathbf A \mathbf b \\ \mathbf A (\lambda \mathbf a) = \lambda (\mathbf A \mathbf a)\end{cases}$$
 
Oh...

A=0 ?
 
Yankel said:
Oh...

A=0 ?

Huh? No, I'm afraid not. At least not necessarily. :confused:

What I mean is if you can get rid of the parentheses in $\mathbf A(\mathbf x+ \mathbf 1) = \mathbf 0$? Then we'll see what we can deduce from that...
 
you get:

Ax+A=0

but isn't Ax=0 ?
 
Yankel said:
you get:

Ax+A=0

but isn't Ax=0 ?

$A \mathbf x$ is indeed $\mathbf 0$, but your equation should be:
$$A \mathbf x + A \mathbf 1 = \mathbf 0$$
Note that $A \mathbf 1$ actually means:
$$A \mathbf 1 = A \begin{bmatrix}1\\1\\1\end{bmatrix}$$
which is different from A.
 
this is the answer ? it's a solution only if

A1=0 ? if (1,1,1) is a solution ?
 
  • #10
Yankel said:
this is the answer ? it's a solution only if

A1=0 ? if (1,1,1) is a solution ?

Yep! (Nod)

So we can say that $\mathbf x + \mathbf 1$ will generally not be a solution, unless (1,1,1) is a solution.

I guess that should suffice to answer the question, although we can say a little more.

It means that (1,1,1) must be an eigenvector with eigenvalue 0.
And we know that $\mathbf x$ is also an eigenvector with eigenvalue 0.
However, the one does not have to be a multiple of the other, since a 3-dimensional matrix can have more than 1 eigenvector with eigenvalue 0. (Nerd)
 
  • #11
Thanks !
 

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