3.1. Consider the system of linear constraints 2.x1 + x2 < 100 X1+ x2 < 80 X1 < 40 X1, X2 > 0. (i) Write this system of constraints in standard form, and determine all the basic solutions (feasible and infeasible). (ii) Determine the extreme points of the feasible region (corresponding to both the standard form of the constraints, as well as the original version).

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### System of Linear Constraints

Consider the following system of linear constraints:

\[ 
\begin{align*}
2x_1 + x_2 & \leq 100 \\
x_1 + x_2 & \leq 80 \\
x_1 & \leq 40 \\
x_1, x_2 & \geq 0 
\end{align*}
\]

#### Tasks

1. **Write in Standard Form**: Convert this system of constraints into standard form and determine all the basic solutions, including both feasible and infeasible ones.

2. **Determine Extreme Points**: Identify the extreme points of the feasible region associated with these constraints. This task should be completed for both the standard form of the constraints and the original version provided. 

This exercise is fundamental for understanding linear programming and the graphical method of solution optimization. By transforming constraints into standard form and finding extreme points, one gains insight into the feasible region's boundaries and potential solutions.
Transcribed Image Text:### System of Linear Constraints Consider the following system of linear constraints: \[ \begin{align*} 2x_1 + x_2 & \leq 100 \\ x_1 + x_2 & \leq 80 \\ x_1 & \leq 40 \\ x_1, x_2 & \geq 0 \end{align*} \] #### Tasks 1. **Write in Standard Form**: Convert this system of constraints into standard form and determine all the basic solutions, including both feasible and infeasible ones. 2. **Determine Extreme Points**: Identify the extreme points of the feasible region associated with these constraints. This task should be completed for both the standard form of the constraints and the original version provided. This exercise is fundamental for understanding linear programming and the graphical method of solution optimization. By transforming constraints into standard form and finding extreme points, one gains insight into the feasible region's boundaries and potential solutions.
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