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A farmer has a supply of chemical fertil...

A farmer has a supply of chemical fertilizer of type. A which 10% nitrogen and 6% phosphoric acid and of type B which contains 5% nitrogen and 10% phosphoric acid. After soil test, it is found that at least 7kg of nitrogen and same quantity fo phosphoric acid is required for a good crop. The fertilizer of type A costs 5.00 per kg and the type B costs 8.00 per kg. Using Linear programming, find how many kilograms of each type of the fertilizer should be bought to meet the requirement and for the cost to be minimum. Find hte feasible region in the graph.

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To solve the problem using linear programming, we will follow these steps: ### Step 1: Define the Variables Let: - \( X \) = kilograms of fertilizer type A - \( Y \) = kilograms of fertilizer type B ### Step 2: Define the Objective Function We want to minimize the cost: \[ Z = 5X + 8Y \] ### Step 3: Define the Constraints From the problem, we know that: 1. The nitrogen requirement: \[ 0.10X + 0.05Y \geq 7 \] Simplifying this gives: \[ 2X + Y \geq 140 \quad \text{(1)} \] 2. The phosphoric acid requirement: \[ 0.06X + 0.10Y \geq 7 \] Simplifying this gives: \[ 3X + 5Y \geq 350 \quad \text{(2)} \] 3. Non-negativity constraints: \[ X \geq 0, \quad Y \geq 0 \] ### Step 4: Graph the Constraints To graph the constraints, we will find the intercepts for each equation. **For Equation (1): \( 2X + Y = 140 \)** - When \( X = 0 \): \( Y = 140 \) (point (0, 140)) - When \( Y = 0 \): \( 2X = 140 \) → \( X = 70 \) (point (70, 0)) **For Equation (2): \( 3X + 5Y = 350 \)** - When \( X = 0 \): \( 5Y = 350 \) → \( Y = 70 \) (point (0, 70)) - When \( Y = 0 \): \( 3X = 350 \) → \( X = \frac{350}{3} \approx 116.67 \) (point (116.67, 0)) ### Step 5: Find the Points of Intersection To find the intersection of the two lines, we solve the equations: 1. \( 2X + Y = 140 \) 2. \( 3X + 5Y = 350 \) From (1), we can express \( Y \): \[ Y = 140 - 2X \] Substituting into (2): \[ 3X + 5(140 - 2X) = 350 \] \[ 3X + 700 - 10X = 350 \] \[ -7X + 700 = 350 \] \[ -7X = -350 \] \[ X = 50 \] Substituting \( X = 50 \) back into \( Y = 140 - 2X \): \[ Y = 140 - 2(50) = 40 \] Thus, the intersection point is \( (50, 40) \). ### Step 6: Identify the Corner Points The corner points of the feasible region are: 1. \( (0, 140) \) 2. \( (70, 0) \) 3. \( (0, 70) \) 4. \( (116.67, 0) \) 5. \( (50, 40) \) ### Step 7: Evaluate the Objective Function at Each Corner Point 1. \( (0, 140) \): \( Z = 5(0) + 8(140) = 1120 \) 2. \( (70, 0) \): \( Z = 5(70) + 8(0) = 350 \) 3. \( (0, 70) \): \( Z = 5(0) + 8(70) = 560 \) 4. \( (116.67, 0) \): \( Z = 5(116.67) + 8(0) \approx 583.35 \) 5. \( (50, 40) \): \( Z = 5(50) + 8(40) = 250 + 320 = 570 \) ### Step 8: Determine the Minimum Cost The minimum cost occurs at the point \( (50, 40) \) with: \[ Z = 570 \] ### Conclusion To meet the requirements and minimize costs, the farmer should buy: - 50 kg of fertilizer type A - 40 kg of fertilizer type B
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