Math Problem Statement

Solve the linear programming problem graphically: Maximize f = x1 + 3x2 subject to the constraints: x1 + x2 <= 3, 6x1 + x2 >= 4, 2x1 - 3x2 >= 6, x1 >= 0, x2 >= 0.

Solution

This is a linear programming problem that involves maximizing an objective function f=x1+3x2f = x_1 + 3x_2 under several constraints. Let's rewrite the problem clearly:

Objective Function:

f=x1+3x2maxf = x_1 + 3x_2 \quad \rightarrow \text{max}

Constraints:

  1. x1+x23x_1 + x_2 \leq 3
  2. 6x1+x246x_1 + x_2 \geq 4
  3. 2x13x262x_1 - 3x_2 \geq 6
  4. x10x_1 \geq 0 (non-negativity)
  5. x20x_2 \geq 0 (non-negativity)

The solution involves:

  1. Graphing the feasible region formed by these constraints.
  2. Identifying the vertices of the feasible region.
  3. Substituting the coordinates of the vertices into the objective function f=x1+3x2f = x_1 + 3x_2 to determine the maximum value.

Steps for Solving the Problem:

  1. Graph the Constraints: Convert inequalities into equations to find boundaries:
    • (

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Math Problem Analysis

Mathematical Concepts

Linear Programming
Graphical Method
Optimization
Feasible Region
Objective Function

Formulas

Objective Function: f = x1 + 3x2
Constraints: Inequalities defining the feasible region

Theorems

Fundamental theorem of linear programming: The optimal solution occurs at a vertex of the feasible region.

Suitable Grade Level

Grades 10-12