RTUComputer ScienceYr 2024 · Sem 32024

Q4Advanced Engineering Mathematics

Question

4 marks

Answer

The problem is solved using the method of Lagrange Multipliers. By setting up the Lagrangian function and solving the system of partial derivatives, the optimal stationary points are located to determine the absolute minimum value.

We are tasked with finding the extremum values of the objective function subject to a specific equality constraint . This is a classic constrained optimization problem that is best solved using the method of Lagrange Multipliers.

First, we rewrite the constraint equation in the standard form :

1. Formulating the Lagrangian Function

We construct the Lagrangian function by combining the objective function and the constraint multiplied by the Lagrange multiplier :

2. Finding the Stationary Points

To find the stationary points, we must compute the partial derivatives of with respect to and , and rigidly set them all to zero. This creates a system of four simultaneous equations:

From Equation 2 (), we arrive at two distinct mathematical possibilities to satisfy the condition: either or . We must rigorously analyze both cases to find all potential extrema.

Case 1: Assume

If , we substitute and directly into the constraint Equation 4:

Now, substituting back into our expressions for and :

and .

This gives us our first stationary point: . Let us calculate the value of the objective function at this specific coordinate:

Case 2: Assume

If , we immediately determine the values of and from Equations 1 and 3:

and .

Now, we substitute and into the constraint Equation 4 to solve for the remaining variable :

This yields two additional stationary points: and . We calculate the objective function for these points:

3. Conclusion

We compare the calculated values of from our different cases. We found and . Comparing these, the absolute minimum value is clearly 9. Therefore, the constrained optimal minimum value of the function is , which uniquely occurs at the coordinate points and .

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