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Solve the following linear programming p...

Solve the following linear programming problem graphically:
minimize : `z=x+2y`
Subject to: `2x+yge3`
`x+2yge6`
`xge0`
`yge0`
Show that `z` is minimum at two points.

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To solve the given linear programming problem graphically, we will follow these steps: ### Step 1: Define the objective function and constraints We need to minimize the objective function: \[ z = x + 2y \] Subject to the constraints: 1. \( 2x + y \geq 3 \) (Constraint 1) 2. \( x + 2y \geq 6 \) (Constraint 2) 3. \( x \geq 0 \) (Non-negativity constraint) 4. \( y \geq 0 \) (Non-negativity constraint) ### Step 2: Convert inequalities to equations To graph the constraints, we first convert the inequalities into equations: 1. From \( 2x + y = 3 \) 2. From \( x + 2y = 6 \) ### Step 3: Find intercepts for each equation **For the first equation \( 2x + y = 3 \):** - When \( x = 0 \): \[ y = 3 \] (Point: \( (0, 3) \)) - When \( y = 0 \): \[ 2x = 3 \Rightarrow x = \frac{3}{2} = 1.5 \] (Point: \( (1.5, 0) \)) **For the second equation \( x + 2y = 6 \):** - When \( x = 0 \): \[ 2y = 6 \Rightarrow y = 3 \] (Point: \( (0, 3) \)) - When \( y = 0 \): \[ x = 6 \] (Point: \( (6, 0) \)) ### Step 4: Plot the lines on a graph Now we will plot the points obtained: - For \( 2x + y = 3 \): Points \( (0, 3) \) and \( (1.5, 0) \) - For \( x + 2y = 6 \): Points \( (0, 3) \) and \( (6, 0) \) ### Step 5: Determine the feasible region Next, we shade the feasible region based on the inequalities: - For \( 2x + y \geq 3 \), shade above the line. - For \( x + 2y \geq 6 \), shade above the line. - The feasible region is where the shaded areas overlap, considering \( x \geq 0 \) and \( y \geq 0 \). ### Step 6: Identify corner points of the feasible region The corner points of the feasible region are: 1. \( (0, 3) \) 2. \( (1.5, 0) \) 3. \( (6, 0) \) ### Step 7: Evaluate the objective function at each corner point Now we calculate the value of \( z \) at each corner point: 1. At \( (0, 3) \): \[ z = 0 + 2(3) = 6 \] 2. At \( (1.5, 0) \): \[ z = 1.5 + 2(0) = 1.5 \] 3. At \( (6, 0) \): \[ z = 6 + 2(0) = 6 \] ### Step 8: Determine the minimum value of \( z \) From the evaluations: - \( z = 6 \) at points \( (0, 3) \) and \( (6, 0) \) - \( z = 1.5 \) at point \( (1.5, 0) \) The minimum value of \( z \) is \( 6 \), which occurs at two points: \( (0, 3) \) and \( (6, 0) \). ### Conclusion Thus, the minimum value of \( z \) is \( 6 \) at two points: \( (0, 3) \) and \( (6, 0) \). ---

To solve the given linear programming problem graphically, we will follow these steps: ### Step 1: Define the objective function and constraints We need to minimize the objective function: \[ z = x + 2y \] Subject to the constraints: 1. \( 2x + y \geq 3 \) (Constraint 1) ...
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