To solve the system of linear equations, we can use matrix operations or substitution/elimination methods. Here, we will use the numpy library in Python to solve the system of equations by representing it in matrix form and then using numpy's linear algebra solver.
Step 1: Set Up the System of Equations
We start with the given system of equations:
\[
\begin{aligned}
x_{1} - x_{2} & = 1 \quad (1) \\
-2x_{1} + 3x_{2} & = -4 \quad (2)
\end{aligned}
\]
Step 2: Represent the System in Matrix Form
We can represent the system in matrix form as:
\[
A = \begin{bmatrix} 1 & -1 \\ -2 & 3 \end{bmatrix}, \quad B = \begin{bmatrix} 1 \\ -4 \end{bmatrix}
\]
Step 3: Solve the System
Using matrix operations, we find the solution to the system:
\[
\begin{bmatrix} x_{1} \\ x_{2} \end{bmatrix} = \begin{bmatrix} -1 \\ -2 \end{bmatrix}
\]
Thus, we have:
\[
x_{1} = -1, \quad x_{2} = -2
\]
Final Answer
The solutions to the system of equations are:
\[
\boxed{x_{1} = -1, \quad x_{2} = -2}
\]