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A man has Rs. 1500 to purchase two types...

A man has Rs. 1500 to purchase two types of shares of two different companies `s_(1)` and `s_(2)`. Markedt price of one share of `s_(1)` is Rs. 180 and `s_(2)` is Rs. 120. He wishes to purchase a maximum of ten shares only. If one share of type `s_(1)` gives a yield of Rs. 11 and of type `s_(2)` yields Rs. 8 then how much shares of each type must be purchased to get maximum profit? And what will be the maximum profit?

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To solve the problem step-by-step, we will set up the equations based on the information provided and then find the maximum profit. ### Step 1: Define the variables Let: - \( x \) = number of shares of type \( s_1 \) - \( y \) = number of shares of type \( s_2 \) ### Step 2: Set up the constraints 1. The total number of shares purchased cannot exceed 10: \[ x + y \leq 10 \quad \text{(Constraint 1)} \] 2. The total cost of the shares cannot exceed Rs. 1500: \[ 180x + 120y \leq 1500 \quad \text{(Constraint 2)} \] ### Step 3: Simplify the cost constraint To simplify Constraint 2, divide the entire inequality by 60: \[ 3x + 2y \leq 25 \quad \text{(Constraint 2 simplified)} \] ### Step 4: Define the objective function The profit from the shares is given by: \[ Z = 11x + 8y \quad \text{(Objective function)} \] We need to maximize \( Z \). ### Step 5: Identify the feasible region We will graph the constraints to find the feasible region. - For Constraint 1: \( x + y = 10 \) - If \( x = 0 \), then \( y = 10 \) (point A: (0, 10)) - If \( y = 0 \), then \( x = 10 \) (point C: (10, 0)) - For Constraint 2: \( 3x + 2y = 25 \) - If \( x = 0 \), then \( y = 12.5 \) (not feasible since \( y \) must be ≤ 10) - If \( y = 0 \), then \( x = \frac{25}{3} \approx 8.33 \) (point B: (8.33, 0)) - If \( y = 10 \), then \( 3x + 20 = 25 \) gives \( x = \frac{5}{3} \approx 1.67 \) (point D: (1.67, 10)) ### Step 6: Determine the intersection point of the constraints To find the intersection of \( x + y = 10 \) and \( 3x + 2y = 25 \): 1. From \( x + y = 10 \), express \( y \): \[ y = 10 - x \] 2. Substitute into \( 3x + 2y = 25 \): \[ 3x + 2(10 - x) = 25 \] \[ 3x + 20 - 2x = 25 \] \[ x = 5 \] 3. Substitute \( x = 5 \) back to find \( y \): \[ y = 10 - 5 = 5 \] Thus, the intersection point is (5, 5). ### Step 7: Evaluate the objective function at the vertices of the feasible region Now, we evaluate \( Z \) at the vertices: 1. Point A (0, 10): \[ Z = 11(0) + 8(10) = 80 \] 2. Point B (5, 5): \[ Z = 11(5) + 8(5) = 55 + 40 = 95 \] 3. Point C (8.33, 0): \[ Z = 11(8.33) + 8(0) \approx 91.63 \] 4. Point D (1.67, 10): \[ Z = 11(1.67) + 8(10) \approx 13.37 + 80 = 93.37 \] ### Step 8: Determine the maximum profit The maximum profit occurs at point B (5, 5) where: \[ Z = 95 \] ### Conclusion The man should purchase: - **5 shares of type \( s_1 \)** - **5 shares of type \( s_2 \)** The maximum profit will be **Rs. 95**.
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