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Lagrange Multipliers; Calculus 3?

Published by: mike 2010-03-12

  • Lagrange Multipliers Quiz - Library of Math::
    (3) Use the method of Lagrange multipliers with two parameters. pre calculus one. pre calculus two. trigonometry. Math Store. Be Happy Do Math. I Love Math
    http://www.libraryofmath.com/lagrange-multipliers-quiz.html
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    Find the absolute maximum and minimum of the function f(x,y)= x^2 + y^2 subject to the constraint x^4 + y^4 =256.

    so far i've gotten
    2x = λ4x
    2y = λ4y
    x^4 + y^4 = 256

    So, would I start off the problem with λ = 1/2 and x =0?
    Or am I totally off?


  • We have:

    f(x,y) = x² + y²

    subject to the constraint:

    x⁴ + y⁴ = 256.

    We let g(x,y) = x⁴ + y⁴ - 256. Then ∇f = ∂f/∂x i + ∂f/∂y j = 2x i + 2y j and ∇g = ∂g/∂x i + ∂g/∂y j = 4x³ i + 4y³ j. By the Lagrange multiplier method, we have ∇f = λ ∇g at any maximum or minimum value(s) of f for the given constraint, for some non-zero real value λ. Hence,
    Multivariable Calculus Contents::
    2.9 Lagrange Multipliers. Summary and Review. 3: Surfaces and Transformations Development of Multivariable Calculus Online was funded in part by National
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    Pauls Online Notes : Calculus III - Multiple Integrals::
    to hide it. Lagrange Multipliers. E-Book Chapter. Double Integrals Lagrange Multipliers. Double Integrals. Online Notes / Calculus III / Multiple Integrals
    http://tutorial.math.lamar.edu/Classes/CalcIII/MultipleIntegralsIntro.aspx
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    2x i + 2y j = ∇f = λ ∇g = λ (4x³ i + 4y³ j) = 4λx³ i + 4λy³ j;

    hence,

    2x = 4λx³
    2y = 4λy³.

    The equations give us a number of possibilities that we must examine:

    x = 0 and y = 0,
    x = 0 and y ≠ 0,
    x ≠ 0 and y = 0,
    x ≠ 0 and y ≠ 0.

    (Analyzing the possibilities is usually the only creative aspect of solving a Lagrange multiplier problem.)

    If x = 0 and y = 0, then by subsituting into the constraint, we have:

    0⁴ + 0⁴ = 256, a contradiction.

    Next, if x = 0 and y ≠ 0, then substituting into the constraint, we have:

    0⁴ + y⁴ = 256 ⇒ y = ± 4.

    This gives us the points (0,4) and (0,-4) that may provide a maximum or minimum.

    Next, if x ≠ 0 and y = 0, then substituting into the constraint, we have:

    x⁴ + 0⁴ = 256 ⇒ x = ± 4.

    This gives us the points (4,0) and (-4,0) that may provide a maximum or minimum.

    Next, if x ≠ 0 and y ≠ 0, we have:

    λ = 1/(2x²) = 1/(2y²) ⇒ x² = y² ⇒ x = ± y,

    and then substituting into the constraint, we have:

    (± y)⁴ + y⁴ = 256 ⇒ 2y⁴ = 256 ⇒ y = ± ⁴√128 = ± 2⁴√8.

    This gives us the points (2⁴√8,2⁴√8), (2⁴√8,-2⁴√8), (-2⁴√8,2⁴√8), and (-2⁴√8,-2⁴√8) that may provide a maximum or minimum.

    To summarize, we have the following eight points to examine to check for maximum and minimum values of f:

    (0,4), (0,-4), (4,0), (-4,0), (2⁴√8,2⁴√8), (2⁴√8,-2⁴√8), (-2⁴√8,2⁴√8), and (-2⁴√8,-2⁴√8).

    We plug them into our function f.

    We have:

    f(0,4) = 0² + 4² = 16,
    f(0,-4) = 0² + (-4)² = 16,
    f(4,0) = 4² + 0² = 16,
    f(-4,0) = (-4)² + 0² = 16,
    f(2⁴√8,2⁴√8) = (2⁴√8)² + (2⁴√8)² = 8√8 ≈ 22.627,
    f(-2⁴√8,2⁴√8) = (-2⁴√8)² + (2⁴√8)² = 8√8 ≈ 22.627,
    f(2⁴√8,-2⁴√8) = (2⁴√8)² + (-2⁴√8)² = 8√8 ≈ 22.627,
    f(-2⁴√8,-2⁴√8) = (-2⁴√8)² + (-2⁴√8)² = 8√8 ≈ 22.627.

    Hence, the maximum of f, subject to the given constraint, is 8√8 and occurs at the points (2⁴√8,2⁴√8), (2⁴√8,-2⁴√8), (-2⁴√8,2⁴√8), and (-2⁴√8,-2⁴√8) and the minimum of f, subject to the given constraint, is 16 and occurs at the points (0,4), (0,-4), (4,0), and (-4,0).

    I should add that the graph of a function f:ℝ²→ ℝ is usually quite easy to visualize above (and/or below) a given constraint on the xy-plane, and in this instance, we see that f is simply a circular paraboloid and that the constraint looks something like a circle that bulges out as it approaches the lines y = x and y = -x; hence, the maximum value of f subject to the given constraint must occur when y = x and y = -x.





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