Use Lagrange multipliers to find the extreme values of f(x, y) = 2x² + 3y² - 4x − 5 on the region x² + y² ≤ 16. -

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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**Problem Statement:**

2. Use Lagrange multipliers to find the extreme values of the function 

\[ f(x, y) = 2x^2 + 3y^2 - 4x - 5 \]

subject to the constraint 

\[ x^2 + y^2 \leq 16. \]

**Explanation:**

This problem involves finding the maximum and minimum values of a given function subject to a constraint. The method of Lagrange multipliers is a strategy for finding the local maxima and minima of a function subject to equality constraints. Here, the constraint \( x^2 + y^2 \leq 16 \) describes a region inside or on the boundary of a circle with a radius of 4 centered at the origin. 

To solve the problem:
1. Identify the constraint boundary: \( g(x, y) = x^2 + y^2 - 16 = 0 \).
2. Set up the Lagrangian: \( \mathcal{L}(x, y, \lambda) = f(x, y) - \lambda g(x, y) \).
3. Solve the system of equations obtained by setting the gradients \( \nabla f = \lambda \nabla g \) and \( g(x, y) = 0 \).

This allows you to find the critical points which may be possible extreme values. You then evaluate the function \( f(x, y) \) at these points and within the region to determine the extreme values.
Transcribed Image Text:**Problem Statement:** 2. Use Lagrange multipliers to find the extreme values of the function \[ f(x, y) = 2x^2 + 3y^2 - 4x - 5 \] subject to the constraint \[ x^2 + y^2 \leq 16. \] **Explanation:** This problem involves finding the maximum and minimum values of a given function subject to a constraint. The method of Lagrange multipliers is a strategy for finding the local maxima and minima of a function subject to equality constraints. Here, the constraint \( x^2 + y^2 \leq 16 \) describes a region inside or on the boundary of a circle with a radius of 4 centered at the origin. To solve the problem: 1. Identify the constraint boundary: \( g(x, y) = x^2 + y^2 - 16 = 0 \). 2. Set up the Lagrangian: \( \mathcal{L}(x, y, \lambda) = f(x, y) - \lambda g(x, y) \). 3. Solve the system of equations obtained by setting the gradients \( \nabla f = \lambda \nabla g \) and \( g(x, y) = 0 \). This allows you to find the critical points which may be possible extreme values. You then evaluate the function \( f(x, y) \) at these points and within the region to determine the extreme values.
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