Find Matrix A for System Ax=1, 3

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In summary, the conversation is about finding the matrix $A$ in a given system of equations. The general solution is provided and the conversation goes through several steps to determine the specific form of $A$. Ultimately, it is determined that $a_{12}=a_{22}=0$ and the final answer is confirmed through substitution. The conversation ends with agreement that this solution is appropriate.
  • #1
evinda
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Hello! (Wave)

The general solution of the system $Ax=\begin{bmatrix}
1\\
3
\end{bmatrix}$ is $x=\begin{bmatrix}
1\\
0
\end{bmatrix}+ \lambda \begin{bmatrix}
0\\
1
\end{bmatrix}$. I want to find the matrix $A$.

I have done the following so far:

$$x=\begin{bmatrix}
1\\
0
\end{bmatrix}+ \lambda \begin{bmatrix}
0\\
1
\end{bmatrix}=\begin{bmatrix}
1\\
\lambda
\end{bmatrix}.$$

Let $A=\begin{bmatrix}
a_{11} & a_{12}\\
a_{21} & a_{22}
\end{bmatrix}$.$$\begin{bmatrix}
a_{11} & a_{12}\\
a_{21} & a_{22}
\end{bmatrix} \begin{bmatrix}
1\\
\lambda
\end{bmatrix}=\begin{bmatrix}
1\\
3
\end{bmatrix} \Leftrightarrow \begin{bmatrix}
a_{11}+ \lambda a_{12}\\
a_{21}+\lambda a_{22}
\end{bmatrix}=\begin{bmatrix}
1\\
3
\end{bmatrix} \Leftrightarrow \begin{Bmatrix}
a_{11}+\lambda a_{12}=1 \\
a_{21}+\lambda a_{22}=3
\end{Bmatrix} \Leftrightarrow \begin{Bmatrix}
a_{11}=1-\lambda a_{12} \\
a_{21}=3-\lambda a_{22}
\end{Bmatrix}. $$So $A$ is the following matrix:

$$A=\begin{bmatrix}
1-\lambda a_{12} & a_{12}\\
3-\lambda a_{22} & a_{22}
\end{bmatrix}.$$

Is everything right? Can we get more information or is this sufficient? (Thinking)
 
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  • #2
Hey evinda!

$A$ is a fixed matrix, isn't it?
It shouldn't depend on $\lambda$ should it? (Worried)

The lambda is only supposed to describe the set of the solutions for $x$, isn't it? (Thinking)
 
  • #3
Klaas van Aarsen said:
Hey evinda!

$A$ is a fixed matrix, isn't it?
It shouldn't depend on $\lambda$ should it? (Worried)

The lambda is only supposed to describe the set of the solutions for $x$, isn't it? (Thinking)

Oh yes, right... (Thinking) Even if we pick, for example, $\lambda=0$, we do not get a specific matrix $A$.

How can we get further information? (Thinking)
 
  • #4
evinda said:
Oh yes, right... Even if we pick, for example, $\lambda=0$, we do not get a specific matrix $A$.

How can we get further information?

Since we should get the same $A$ regardless of the value of $\lambda$, I think that for instance $a_{12}$ must be $0$. (Thinking)
 
  • #5
Klaas van Aarsen said:
Since we should get the same $A$ regardless of the value of $\lambda$, I think that for instance $a_{12}$ must be $0$. (Thinking)

So whichever value $\lambda$ has, we should get the same matrix $A$.

This is only possible when $a_{12}=a_{22}=0$.

Thus, $A=\begin{bmatrix}
1 & 0\\
3 & 0
\end{bmatrix}$.

Is this right? (Thinking)
 
  • #6
Suppose it is correct, then what are the solutions of $Ax=\begin{bmatrix}1\\3\end{bmatrix}$? (Thinking)
 
  • #7
Klaas van Aarsen said:
Suppose it is correct, then what are the solutions of $Ax=\begin{bmatrix}1\\3\end{bmatrix}$? (Thinking)

This is wrong, since we would have the following:

$$\begin{bmatrix}
1 & 0\\
3 & 0
\end{bmatrix} \begin{bmatrix}
x_{1} \\
x_{2}
\end{bmatrix}= \begin{bmatrix}
1 \\
3
\end{bmatrix} \Rightarrow x_{1}=1, x_{1}=\frac{1}{3}$$

The solution has to hold for any $\lambda$ and thus we set $a_{12}=0$.

Then $Ax=\begin{bmatrix}
1 \\
3
\end{bmatrix} \Rightarrow \begin{bmatrix}
1 & 0\\
3+\lambda a_{22} & a_{22}
\end{bmatrix} \begin{bmatrix}
x_{1} \\
x_{2}
\end{bmatrix}= \begin{bmatrix}
1 \\
3
\end{bmatrix} \Rightarrow x_1=1, (3+\lambda a_{22}) x_1+ a_{22} x_2=3 \Rightarrow 3+\lambda a_{22}+a_{22} x_2=3 \Rightarrow a_{22} (\lambda+x_2)=0$.

Above we showed that it cannot hold that $a_{22}=0$ and so we get that $x_2=-\lambda$, and this is an acceptable solution, according to the hypothesis.

Thus, $A=\begin{bmatrix}
1 & 0\\
3+\lambda a_{22} & a_{22}\end{bmatrix}$.

Now $A$ again is not fixed, but from $Ax=\begin{bmatrix}
1 \\
3
\end{bmatrix}$ we get that $x_1=1$ and $x_2=-\lambda$.

At the hypothesis, $x_2=\lambda$. But is this the desired solution since $\lambda$ is arbitrary? Or is something wrong? (Thinking)By setting $a_{22}=0$, we get $x_1=\frac{1}{3}$, which is rejected.

Is it right? Could something be improved? (Thinking)
 
  • #8
evinda said:
This is wrong, since we would have the following:

$$\begin{bmatrix}
1 & 0\\
3 & 0
\end{bmatrix} \begin{bmatrix}
x_{1} \\
x_{2}
\end{bmatrix}= \begin{bmatrix}
1 \\
3
\end{bmatrix} \Rightarrow x_{1}=1, x_{1}=\frac{1}{3}$$

How did you get $x_{1}=\frac{1}{3}$? (Wondering)
 
  • #9
Klaas van Aarsen said:
How did you get $x_{1}=\frac{1}{3}$? (Wondering)

Oh sorry... We get that $3 \cdot x_1+ 0 \cdot x_2=3 \Rightarrow x_1=1$, and $x_2$ is arbitrary, so it is indeed a solution... (Wasntme)
 
  • #10
evinda said:
Oh sorry... We get that $3 \cdot x_1+ 0 \cdot x_2=3 \Rightarrow x_1=1$, and $x_2$ is arbitrary, so it is indeed a solution...

Ah good. (Whew)

Does the solution for $x$ match the given general solution? (Wondering)
 
  • #11
Klaas van Aarsen said:
Ah good. (Whew)

Does the solution for $x$ match the given general solution? (Wondering)

Yes, it does... (Nod)

So is this sufficient to say that since it has to hold for every $\lambda$, it has to hold that $a_{12}=a_{22}=0$ and so the matrix $A$ is $A=\begin{bmatrix} 1 & 0 \\ 3 & 0 \end{bmatrix}$, since this is confirmed by replacing the matrix that we got at $Ax= \begin{bmatrix} 1 \\ 3 \end{bmatrix}$ ? (Thinking)
 
  • #12
evinda said:
Yes, it does...

So is this sufficient to say that since it has to hold for every $\lambda$, it has to hold that $a_{12}=a_{22}=0$ and so the matrix $A$ is $A=\begin{bmatrix} 1 & 0 \\ 3 & 0 \end{bmatrix}$, since this is confirmed by replacing the matrix that we got at $Ax= \begin{bmatrix} 1 \\ 3 \end{bmatrix}$ ?

Yep. (Nod)

I'd say 'and this is confirmed...' rather than 'since this is confimed...' though. (Emo)
 
  • #13
Klaas van Aarsen said:
Yep. (Nod)

I'd say 'and this is confirmed...' rather than 'since this is confimed...' though. (Emo)

Nice... (Smirk) Thank you very much! (Blush)
 

FAQ: Find Matrix A for System Ax=1, 3

What is a matrix?

A matrix is a rectangular array of numbers or symbols arranged in rows and columns. It is commonly used in mathematics, physics, and engineering to represent and solve systems of equations.

What is the purpose of finding matrix A for a system Ax=1, 3?

The purpose of finding matrix A for a system Ax=1, 3 is to solve for the values of the variables in the system of equations. Matrix A represents the coefficients of the variables, and by finding its inverse, we can solve for the values of the variables x and y.

How do you find matrix A for a system Ax=1, 3?

To find matrix A for a system Ax=1, 3, we first write the system of equations in matrix form, with the coefficients of the variables as the elements of matrix A. Then, we find the inverse of matrix A, which is denoted as A-1. The inverse of A is then multiplied by the constant vector (1, 3) to solve for the values of x and y.

What are the steps for finding the inverse of matrix A?

The steps for finding the inverse of matrix A are as follows:

  1. Write the system of equations in matrix form, with the coefficients of the variables as the elements of matrix A.
  2. Find the determinant of matrix A, denoted as |A|.
  3. If the determinant is non-zero, the inverse of A exists. If the determinant is zero, the inverse does not exist and the system of equations has no unique solution.
  4. Find the adjugate of matrix A, denoted as adj(A).
  5. The inverse of A is given by A-1 = (1/|A|) * adj(A).

What are some applications of finding matrix A for a system Ax=1, 3?

Some applications of finding matrix A for a system Ax=1, 3 include solving systems of linear equations in mathematics, solving circuit analysis problems in electrical engineering, and finding the equilibrium point in economics. It is also used in computer graphics and image processing to transform and manipulate images.

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