Solve Lagrange Multipliers: Find Max/Min f(x,y)

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SUMMARY

The discussion focuses on using Lagrange multipliers to find the maximum and minimum values of the function f(x,y) = x + 3y under the constraint x² + y² ≤ 2. The critical points are determined by calculating the gradients of f and g, leading to the equations 1 = λ(2x) and 3 = λ(2y). The participant concludes that since the partial derivatives of f are constants, there are no critical points within the interior of the circle defined by the constraint, indicating that the extrema must occur on the boundary of the constraint.

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  • Understanding of Lagrange multipliers
  • Knowledge of gradient vectors
  • Familiarity with partial derivatives
  • Basic concepts of constrained optimization
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Students in calculus or optimization courses, mathematicians, and anyone interested in solving constrained optimization problems using Lagrange multipliers.

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Homework Statement



Use lagrange multipliers to find the maximum and minimum values of f subject to the given constraint, if such values exist.
f(x,y) = x+3y, x2+y2≤2


Homework Equations



grad f = λ grad g

The Attempt at a Solution



to find critical points in the interior region,
The partial derivative of f(x,y) with respect to x is 1.
The partial derivative of f(x,y) with respect to y is 3.

g(x,y) = the constraint = x2+y2≤2, to find critical points on the boundary x2+y2=2
The partial derivative of g(x,y) with respect to x is 2x.
The partial derivative of g(x,y) with respect to y is 2y.

And normally I would set:
1 = λ 2x and 3 = λ 2y
λ = 1/2x and λ = 3/2y
so then I would set the equations equal to each other and solve the equation for x and y.

What I'm wondering though, Is whether there are actually minimum or maximum values since the partial derivatives of f(x,y) are constants?
 
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grad f is nonzero everywhere. So there are no critical points (local maxs or mins) inside the circle x^2+y^2=2. So the max and/or min must be ON the circle. You've found 1/(2x)=3/(2y), substitute that into x^2+y^2=2 and find the possibilities for x and y.
 

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