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Find the relative maximum value of the function f(x, y)=x² y subject to the constraint x+y=10

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Final Answer:

The relative maximum value of the function
\(f(x, y) = x^2 y\) subject to the constraint
\(x + y = 10\) occurs at the point
\((5, 5)\) with a maximum value of
\(125\).

Step-by-step explanation:

Certainly! To find the relative maximum value of the function
\(f(x, y) = x^2 y\)subject to the constraint
\(x + y = 10\), we can use the method of Lagrange multipliers.

1. Formulating the Lagrangian:

The Lagrangian function is given by:


\[L(x, y, \lambda) = x^2 y + \lambda(10 - x - y)\]

2. Taking Partial Derivatives:

Calculate the partial derivatives of
\(L\) with respect to \(x\), \(y\), and \(\lambda\) and set them equal to zero:


\[(\partial L)/(\partial x) = 2xy - \lambda = 0\]


\[(\partial L)/(\partial y) = x^2 - \lambda = 0\]


\[(\partial L)/(\partial \lambda) = 10 - x - y = 0\]

3. Solving the System of Equations:

Solve the system of equations to find the critical points. From the first two equations, we get
\(x = y\) and \(\lambda = x^2\). Substituting into the third equation
(\(10 - x - y = 0\)), we find
\(x = y = 5\) and \(\lambda = 25\).

4. Substitute into the Objective Function:

Substitute these values back into the objective function
\(f(x, y)\):


\[f(5, 5) = 5^2 * 5 = 125\]

Therefore, the relative maximum value of the function
\(f(x, y) = x^2 y\)subject to the constraint
\(x + y = 10\) occurs at the point
\((5, 5)\) with a maximum value of
\(125\). This point satisfies both the original function and the constraint, and the Lagrange multipliers method helps identify critical points for optimization problems with constraints.

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