Math Problem Statement

Maximize z = x_1 + 5x_2 subject to the constraints: x_1 + x_2 ≥ 3, x_1 - 2x_2 ≤ 0, 2x_1 - x_2 ≥ 0, x_1 ≥ 0, x_2 ≥ 0. Find the optimal solution.

Solution

The linear programming problem is given by:

Maximize z=x1+5x2z = x_1 + 5x_2

Subject to:

  1. x1+x23x_1 + x_2 \geq 3
  2. x12x20x_1 - 2x_2 \leq 0
  3. 2x1x202x_1 - x_2 \geq 0
  4. x10x_1 \geq 0
  5. x20x_2 \geq 0

We need to determine the feasible region and find the solution.

  1. Analyze the constraints:

    • Constraint 2 rearranges to x12x2x_1 \leq 2x_2.
    • Constraint 3 rearranges to 2x1x22x_1 \geq x_2.
  2. Feasibility check:

    • All constraints intersect in a manner that provides a bounded feasible region.
    • There is a solution where the constraints overlap, forming a feasible region.
  3. Evaluate the function at possible vertices:

    • Solve the system of equations representative of the vertices or extrema.
  4. Comparing choices:

    • Check which option accurately describes the situation.
    • Configurations evaluated at key points, (x1,x2)(x_1, x_2), which satisfy all inequalities will likely yield the correct answer.

By solving and comparing values, the answer matches:

  • There exists an optimal solution at (x1,x2)=(1,2)(x_1, x_2) = (1, 2) with Zmax=11Z_{\text{max}} = 11.

So, the correct answer is:

  • имеет единственное решение Zmax=(1;2)=11Z_{\text{max}} = (1;2) = 11

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Math Problem Analysis

Mathematical Concepts

Linear Programming
Optimization
System of Inequalities

Formulas

Objective function z = x_1 + 5x_2
Constraints: x_1 + x_2 ≥ 3, x_1 - 2x_2 ≤ 0, 2x_1 - x_2 ≥ 0, x_1 ≥ 0, x_2 ≥ 0

Theorems

Fundamental Theorem of Linear Programming
Graphical Method of Linear Programming

Suitable Grade Level

Grades 10-12