Linear Algebra - finding matrix A

In summary, the problem asks for the value of A in the equation (2A-1 - 3I)T = 2 * \begin{pmatrix}-1 & 2\\5 & 4\end{pmatrix}. By simplifying the right hand side and taking the transpose of both sides, the expression (2A-1 - 3I) is found. Then, by adding 3I to both sides, an expression for 2A-1 is obtained. Finally, by factoring out A and adding the resulting matrices, the final equation for A is found to be 2 * \begin{pmatrix}1 & 10\\4 & 11
  • #1
SmellyGoomba
2
0

Homework Statement


Find A if (2A-1 - 3I)T =

2*[tex]
\begin{pmatrix}
-1 & 2\\
5 & 4
\end{pmatrix}
[/tex]

Homework Equations


The Attempt at a Solution



I have no idea if I'm even on the right track of solving this question...

I simplified the right hand side down to
[tex]
\begin{pmatrix}
-2 & 4\\
10 & 8
\end{pmatrix}
[/tex]

I took the transpose of both sides so the left hand side is just (2A-1 - 3I)
The right hand side is now
[tex]
\begin{pmatrix}
-2& 10\\
4 & 8
\end{pmatrix}
[/tex]

I multiplied both sides by A so
LH: A(2A-1 - 3I)
RH: A*[tex]
\begin{pmatrix}
-2& 10\\
4 & 8
\end{pmatrix}
[/tex]

Distribute the A so
LH: (A2A-1 - A3I) => (2I - A3I)

Bring the A3I part to the right side
LH = 2I
RH = A3I + A*[tex]
\begin{pmatrix}
-2& 10\\
4 & 8
\end{pmatrix}
[/tex]

Simplify the A3I part on the right hand side to get
A * [tex]
\begin{pmatrix}
3 & 0\\
0 & 3
\end{pmatrix}
[/tex]

Factor out the A on the right hand side to get
A * ([tex]
\begin{pmatrix}
-2 & 10\\
4 & 8
\end{pmatrix}
[/tex]

+
[tex]
\begin{pmatrix}
3 & 0\\
0 & 3
\end{pmatrix}
[/tex]
)

Add the two matrices together in the brackets to get
A * [tex]\begin{pmatrix}
1 & 10\\
4 & 11
\end{pmatrix}
[/tex]

So I'm left with
[tex]
\begin{pmatrix}
2 & 0\\
0 & 2
\end{pmatrix}
[/tex]

=

A *
[tex]
\begin{pmatrix}
1 & 10\\
4 & 11
\end{pmatrix}
[/tex]

Now there's no way I can somehow get A like that so I screwed up somewhere in there.. probably from the start lol

This looks so messy... am I allowed to upload my handwritten work on a site then post it here? Seems like a better alternative to the mess I have up there >_> Anyways I'm not really looking for a step by step on how to do this. Just a push in the right direction is all...
 
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  • #2
SmellyGoomba said:

Homework Statement


Find A if (2A-1 - 3I)T =

2*[tex]
\begin{pmatrix}
-1 & 2\\
5 & 4
\end{pmatrix}
[/tex]

Homework Equations





The Attempt at a Solution



I have no idea if I'm even on the right track of solving this question...

I simplified the right hand side down to
[tex]
\begin{pmatrix}
-2 & 4\\
10 & 8
\end{pmatrix}
[/tex]

I took the transpose of both sides so the left hand side is just (2A-1 - 3I)
The right hand side is now
[tex]
\begin{pmatrix}
-2& 10\\
4 & 8
\end{pmatrix}
[/tex]
It looks like you did a lot more work than you needed to.

You have
$$ 2A^{-1} - 3I = \begin{pmatrix}
-2& 10\\
4 & 8
\end{pmatrix}$$

Just add 3I to both sides, and then you'll have an expression for 2A-1, from which you can fairly easily find A.
SmellyGoomba said:
I multiplied both sides by A so
LH: A(2A-1 - 3I)
RH: A*[tex]
\begin{pmatrix}
-2& 10\\
4 & 8
\end{pmatrix}
[/tex]

Distribute the A so
LH: (A2A-1 - A3I) => (2I - A3I)

Bring the A3I part to the right side
LH = 2I
RH = A3I + A*[tex]
\begin{pmatrix}
-2& 10\\
4 & 8
\end{pmatrix}
[/tex]

Simplify the A3I part on the right hand side to get
A * [tex]
\begin{pmatrix}
3 & 0\\
0 & 3
\end{pmatrix}
[/tex]

Factor out the A on the right hand side to get
A * ([tex]
\begin{pmatrix}
-2 & 10\\
4 & 8
\end{pmatrix}
[/tex]

+
[tex]
\begin{pmatrix}
3 & 0\\
0 & 3
\end{pmatrix}
[/tex]
)

Add the two matrices together in the brackets to get
A * [tex]\begin{pmatrix}
1 & 10\\
4 & 11
\end{pmatrix}
[/tex]

So I'm left with
[tex]
\begin{pmatrix}
2 & 0\\
0 & 2
\end{pmatrix}
[/tex]

=

A *
[tex]
\begin{pmatrix}
1 & 10\\
4 & 11
\end{pmatrix}
[/tex]

Now there's no way I can somehow get A like that so I screwed up somewhere in there.. probably from the start lol

This looks so messy... am I allowed to upload my handwritten work on a site then post it here? Seems like a better alternative to the mess I have up there >_> Anyways I'm not really looking for a step by step on how to do this. Just a push in the right direction is all...
 

Related to Linear Algebra - finding matrix A

1. What is a matrix A in Linear Algebra?

A matrix A in Linear Algebra is a rectangular array of numbers or symbols arranged in rows and columns. It is used to represent and manipulate linear equations and systems of equations. It is an important tool in solving problems related to geometry, physics, and engineering.

2. How do I find the matrix A for a given linear equation?

To find the matrix A for a given linear equation, you first need to identify the coefficients of the variables in the equation. These coefficients will form the elements of the matrix. The first row of the matrix will contain the coefficients of the first variable, the second row will contain the coefficients of the second variable, and so on.

3. What is the purpose of finding matrix A in Linear Algebra?

The purpose of finding matrix A in Linear Algebra is to solve systems of linear equations. By representing the equations in matrix form, we can use various methods such as Gaussian elimination or matrix inversion to solve for the variables. This can help us find solutions to real-world problems in fields such as economics, physics, and engineering.

4. Is it possible to find more than one matrix A for a given linear equation?

Yes, it is possible to find more than one matrix A for a given linear equation. This is because there are different ways to represent the same system of equations in matrix form. However, the solutions obtained from these different matrices will be equivalent, meaning they will represent the same solution to the system of equations.

5. Are there any specific rules or methods for finding matrix A?

There are no specific rules or methods for finding matrix A in Linear Algebra. It depends on the given linear equations and the desired method of solving them. However, some common techniques include Gaussian elimination, matrix inversion, and Cramer's rule. It is important to choose the most efficient method for solving the given system of equations.

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