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Putting a pair of linear equations into matrix notation and then solving by finding the inverse of the coefficient matrix. 

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Rewrite the following system of equations as a matrix equation

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\\[ \\mathbf{Av} = \\mathbf{b} \\]

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for a matrix $\\mathbf{A}$ and column vectors $\\mathbf{v}$ and $\\mathbf{b}$.

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\\begin{align}
\\simplify[std]{ {ma[0][0]}x + {ma[0][1]}y} &= \\var{mb[0][0]} \\\\
\\simplify[std]{ {ma[1][0]}x + {ma[1][1]}y} &= \\var{mb[1][0]}
\\end{align}

\n

Input all numbers as fractions or integers and not as decimals.

", "advice": "

a)

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The equations can be written in the matrix form

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\\[ \\var{ma}\\begin{pmatrix} x \\\\ y \\end{pmatrix} = \\var{mb} \\]

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b)

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$\\mathrm{det}(\\mathbf{A}) = \\simplify[]{ {ma[0][0]}*{ma[1][1]} - {ma[0][1]}*{ma[1][0]}} = \\var{det(ma)} \\neq 0$, so $\\mathbf{A}$ is invertible.

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\\[ \\mathbf{A}^{-1} = \\simplify[fractionnumbers]{{ma_inverse}} \\]

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c)

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We have 

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\\begin{align}
\\mathbf{A}^{-1}\\mathbf{b} &= \\simplify[fractionnumbers]{{ma_inverse}*{mb}} \\\\
&= \\simplify[fractionnumbers]{{ma_inverse*mb}}
\\end{align}

\n

d)

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Rearrange the equation $\\mathbf{Av}=\\mathbf{b}$ to make $\\mathbf{v}$ the subject:

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\\begin{align}
\\mathbf{A}^{-1}\\mathbf{A}\\mathbf{v} &= \\mathbf{A}^{-1}\\mathbf{b} \\\\
\\mathbf{v} &= \\mathbf{A}^{-1}\\mathbf{b} \\\\ \\\\
\\end{align}

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Hence,

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\\[ \\begin{pmatrix} x \\\\ y \\end{pmatrix} = \\simplify[fractionnumbers]{{ma_inverse*mb}} \\]

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That is,

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\\begin{align}
x &= \\simplify[fractionnumbers]{{x}}, \\\\ \\\\
y &= \\simplify[fractionnumbers]{{y}}
\\end{align}

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Matrix A. a10 is picked so it's non-singular, and a11 is never $\\pm a01$.

\n

No entry is 0.

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$\\mathbf{A} = $ [[0]]

\n
$\\mathbf{v} = $ \n
\n
\n \n \n \n \n \n \n \n \n \n \n
[[1]]
[[2]]
\n \n
\n
\n

$\\mathbf{b} = $ [[3]]

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Find the inverse of $\\mathbf{A}$.

\n

$\\mathbf{A}^{-1} = $ [[0]]

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Now find $\\mathbf{A}^{-1}\\mathbf{b}$.

\n

$\\mathbf{A}^{-1}\\mathbf{b} = $ [[0]]

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Finally, solve the equations.

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$x = $ [[0]]

\n

$y = $ [[1]]

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