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Q.Solve the following linear programming problem graphically: Minimize Z=5x+10yZ = 5x + 10y subject to the constraints: x+2y≤120x + 2y \le 120, x+y≥60x + y \ge 60, x−2y≥0x - 2y \ge 0, x≥0x \ge 0, y≥0y \ge 0.

CBSECBSE Class XII Board 2023Subjective· 3mImportance★★★★★
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To minimize the objective function Z=5x+10yZ = 5x + 10y subject to the given linear constraints, we use the graphical method. This involves plotting the constraint lines, identifying the feasible region, and evaluating ZZ at its corner points. The minimum value of ZZ is 300, occurring at the point (60,0)(60, 0).

Linear Programming Problems (LPPs) involve optimizing (maximizing or minimizing) a linear objective function subject to a set of linear inequalities called constraints. When there are only two decision variables (typically xx and yy), we can solve these problems using the graphical method.

The core idea behind the graphical method is that the set of all points (x,y)(x, y) satisfying all the constraints simultaneously forms a region called the feasible region. This region is always a convex polygon (or an unbounded convex region). A fundamental theorem in linear programming states that if an optimal solution (maximum or minimum) exists, it will always occur at one of the corner points (vertices) of this feasible region.

Therefore, our strategy is to:

  1. Graph each constraint as a line.
  2. Identify the feasible region by determining which side of each line satisfies the inequality.
  3. Find the coordinates of all the corner points of this feasible region.
  4. Substitute these corner point coordinates into the objective function to find the corresponding ZZ values.
  5. Select the minimum (or maximum, depending on the problem) value among these ZZ values.

Let's apply this step-by-step to the given problem:

Minimize Z=5x+10yZ = 5x + 10y

Subject to:

  1. x+2y≤120x + 2y \le 120
  2. x+y≥60x + y \ge 60
  3. x−2y≥0x - 2y \ge 0
  4. x≥0x \ge 0
  5. y≥0y \ge 0

1. Convert Inequalities to Equations and Plot the Lines

To graph the constraints, we first treat each inequality as an equality to find the boundary lines.

  • Constraint 1: x+2y=120x + 2y = 120

    • If x=0x=0, 2y=120⇒y=602y=120 \Rightarrow y=60. Point: (0,60)(0, 60).
    • If y=0y=0, x=120x=120. Point: (120,0)(120, 0).
    • Plot the line passing through (0,60)(0, 60) and (120,0)(120, 0).
  • Constraint 2: x+y=60x + y = 60

    • If x=0x=0, y=60y=60. Point: (0,60)(0, 60).
    • If y=0y=0, x=60x=60. Point: (60,0)(60, 0).
    • Plot the line passing through (0,60)(0, 60) and (60,0)(60, 0).
  • Constraint 3: x−2y=0x - 2y = 0 (or x=2yx = 2y)

    • If x=0x=0, y=0y=0. Point: (0,0)(0, 0).
    • If x=60x=60, 2y=60⇒y=302y=60 \Rightarrow y=30. Point: (60,30)(60, 30).
    • Plot the line passing through (0,0)(0, 0) and (60,30)(60, 30).
  • Constraints 4 & 5: x≥0x \ge 0 and y≥0y \ge 0

    These imply that our feasible region must lie entirely in the first quadrant of the coordinate plane.

2. Identify the Feasible Region

Now we determine which side of each line satisfies its corresponding inequality. We can do this by testing a point (like the origin (0,0)(0,0) if the line does not pass through it).

  • For x+2y≤120x + 2y \le 120:

    Test (0,0)(0,0): 0+2(0)≤120⇒0≤1200 + 2(0) \le 120 \Rightarrow 0 \le 120. This is true. So, the feasible region lies on the side of the line x+2y=120x + 2y = 120 that includes the origin.

  • For x+y≥60x + y \ge 60:

    Test (0,0)(0,0): 0+0≥60⇒0≥600 + 0 \ge 60 \Rightarrow 0 \ge 60. This is false. So, the feasible region lies on the side of the line x+y=60x + y = 60 that does not include the origin.

  • For x−2y≥0x - 2y \ge 0:

    This line x−2y=0x - 2y = 0 passes through the origin, so we cannot use (0,0)(0,0) as a test point. Let's test (1,0)(1,0): 1−2(0)≥0⇒1≥01 - 2(0) \ge 0 \Rightarrow 1 \ge 0. This is true. So, the feasible region lies on the side of the line x−2y=0x - 2y = 0 that includes the point (1,0)(1,0) (i.e., to the right of the line).

  • For x≥0x \ge 0 and y≥0y \ge 0:

    The feasible region is restricted to the first quadrant.

The feasible region is the area that satisfies all these conditions simultaneously. Graphing these lines and shading the appropriate regions will reveal a polygon.

3. Determine the Corner Points of the Feasible Region

The corner points are the vertices of the feasible region, formed by the intersection of the boundary lines. We need to find the coordinates of these intersection points.

Let's label the lines:

  • L1:x+2y=120L_1: x + 2y = 120
  • L2:x+y=60L_2: x + y = 60
  • L3:x−2y=0L_3: x - 2y = 0
  • L4:x=0L_4: x = 0 (y-axis)
  • L5:y=0L_5: y = 0 (x-axis)

The feasible region is a quadrilateral with the following vertices:

  • Point A: Intersection of L2L_2 and L3L_3
    • x+y=60x + y = 60
    • x−2y=0⇒x=2yx - 2y = 0 \Rightarrow x = 2y …

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