\( \begin{array}{lll}-2 x_{1}+x_{1}-3 & \text { vi } & x_{1}-x_{1}+x_{2}-3 \\ -x_{1}-x_{1}-7 & x_{1}-x_{1}-2 x_{3}-27 \\ 2 x_{1}+2 x_{1}-1 & x_{1}-x_{1}+4 x_{3}-9\end{array} \)
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The Deep Dive
Let's break down the given expressions and look at the underlying math principles that can be applied here. The equations appear to be part of a larger system, potentially indicating the need for simplification or solving for variables \(x_1, x_2,\) and \(x_3\). By condensing the coefficients and constants, you can transform the equations into a more manageable form. For instance, combining like terms can significantly clarify the relationships between variables. Additionally, in practical scenarios involving systems of equations, such as in engineering or economics, having clear, simplified equations helps in forecasting outcomes or optimizing decisions. For instance, if you were to represent a budget allocation problem, having a streamlined set of equations allows for clearer insights into how resources should be distributed.