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Q.Solve the following Linear Programming Problem graphically: Maximise Z=600x+400yZ = 600x + 400y subject to the constraints x+2y≤12x + 2y \le 12 4x+5y≥204x + 5y \ge 20 2x+y≤122x + y \le 12 x,y≥0x, y \ge 0

CBSECBSE Class XII Board 2026Subjective· 5mImportance★★★★★
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To maximise the objective function Z=600x+400yZ = 600x + 400y subject to the given linear constraints, we use the graphical method to identify the feasible region and its corner points. Evaluating ZZ at these points reveals the maximum value. The maximum value of ZZ is 4000\boxed{4000}.

Linear Programming Problems (LPPs) involve optimising (maximising or minimising) a linear objective function subject to a set of linear inequalities called constraints. When there are only two decision variables (like xx and yy in this problem), the graphical method provides a clear and intuitive way to solve the LPP.

The core idea behind the graphical method is that the set of all points (x,y)(x, y) that satisfy all the given constraints forms a region in the xyxy-plane, known as the feasible region. This region is always a convex polygon (or unbounded region). A fundamental theorem of linear programming states that if an optimal solution exists, it will always occur at one of the corner points (vertices) of this feasible region. This is because the objective function, being linear, will have its maximum or minimum value at an extreme point of the feasible region.

Here's how we apply this method step-by-step:

  1. Convert Inequality Constraints to Equations for Plotting

    To graph the boundaries of our feasible region, we first treat each inequality constraint as a linear equation. This allows us to draw straight lines on the xyxy-plane.

    Our constraints are:

    • x+2y≤12x + 2y \le 12
    • 4x+5y≥204x + 5y \ge 20
    • 2x+y≤122x + y \le 12
    • x≥0,y≥0x \ge 0, y \ge 0 (non-negativity constraints, meaning we are restricted to the first quadrant)

    The corresponding equations for plotting are:

    • Line 1 (L1L_1): x+2y=12x + 2y = 12
    • Line 2 (L2L_2): 4x+5y=204x + 5y = 20
    • Line 3 (L3L_3): 2x+y=122x + y = 12
  2. Plot the Lines on the Graph

    For each equation, we find two points (typically the intercepts with the axes) to draw the line.

    • For L1:x+2y=12L_1: x + 2y = 12

      • If x=0x=0, then 2y=12⇒y=62y=12 \Rightarrow y=6. Point: (0,6)(0,6).
      • If y=0y=0, then x=12x=12. Point: (12,0)(12,0). Plot the line passing through (0,6)(0,6) and (12,0)(12,0).
    • For L2:4x+5y=20L_2: 4x + 5y = 20

      • If x=0x=0, then 5y=20⇒y=45y=20 \Rightarrow y=4. Point: (0,4)(0,4).
      • If y=0y=0, then 4x=20⇒x=54x=20 \Rightarrow x=5. Point: (5,0)(5,0). Plot the line passing through (0,4)(0,4) and (5,0)(5,0).
    • For L3:2x+y=12L_3: 2x + y = 12

      • If x=0x=0, then y=12y=12. Point: (0,12)(0,12).
      • If y=0y=0, then 2x=12⇒x=62x=12 \Rightarrow x=6. Point: (6,0)(6,0). Plot the line passing through (0,12)(0,12) and (6,0)(6,0).
  3. Determine the Feasible Region

    Now, we need to identify the region that satisfies all the original inequalities, including x≥0x \ge 0 and y≥0y \ge 0. A common technique is to test a point (like the origin (0,0)(0,0)) for each inequality.

    • For x+2y≤12x + 2y \le 12:

      Test (0,0)(0,0): 0+2(0)≤12⇒0≤120 + 2(0) \le 12 \Rightarrow 0 \le 12. This is true. So, the feasible region for this constraint lies on the side of L1L_1 that includes the origin.

    • For 4x+5y≥204x + 5y \ge 20:

      Test (0,0)(0,0): 4(0)+5(0)≥20⇒0≥204(0) + 5(0) \ge 20 \Rightarrow 0 \ge 20. This is false. So, the feasible region for this constraint lies on the side of L2L_2 that does not include the origin.

    • For 2x+y≤122x + y \le 12:

      Test (0,0)(0,0): 2(0)+0≤12⇒0≤122(0) + 0 \le 12 \Rightarrow 0 \le 12. This is true. So, the feasible region for this constraint lies on the side of L3L_3 that includes the origin.

    • For x≥0,y≥0x \ge 0, y \ge 0:

      These constraints restrict the feasible region to the first quadrant (where both xx and yy are non-negative).

    The feasible region is the area that is simultaneously:

    • Below or on L1L_1 (x+2y=12x+2y=12)
    • Above or on L2L_2 (4x+5y=204x+5y=20)
    • Below or on L3L_3 (2x+y=122x+y=12)
    • In the first quadrant (x≥0,y≥0x \ge 0, y \ge 0)

    By shading these regions on a graph, we find that the feasible region is a polygon.

  4. Identify the Corner Points of the Feasible Region

    The corner points are the vertices of the polygon formed by the feasible region. These points are found by determining the intersections of the boundary lines.

    Let's list the corner points:

    • Point A: Intersection of x=0x=0 (y-axis) and L2:4x+5y=20L_2: 4x+5y=20.

      Substitute x=0x=0 into 4x+5y=20⇒5y=20⇒y=44x+5y=20 \Rightarrow 5y=20 \Rightarrow y=4.

      So, A=(0,4)A = (0,4).

    • Point B: Intersection of y=0y=0 (x-axis) and L2:4x+5y=20L_2: 4x+5y=20.

      Substitute y=0y=0 into 4x+5y=20⇒4x=20⇒x=54x+5y=20 \Rightarrow 4x=20 \Rightarrow x=5.

      So, B=(5,0)B = (5,0).

    • Point C: Intersection of y=0y=0 (x-axis) and L3:2x+y=12L_3: 2x+y=12. …

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