Maximize f(x,y,z) with Lagrange Multipliers

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SUMMARY

The discussion focuses on maximizing the function f(x,y,z) = 5xyz using Lagrange multipliers, specifically under the constraint provided. Participants emphasize the importance of calculating the partial derivatives of both the function and the constraint, leading to the equations fx = λ gx, fy = λ gy, fz = λ gz, and g(x). The method involves solving a system of four equations with four unknowns, where λ can be eliminated for simplification. Correct application of the gradient notation is also highlighted, clarifying that ∇f(x) = λ ∇g(x) is the proper formulation.

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  • Understanding of multivariable calculus
  • Familiarity with Lagrange multipliers
  • Knowledge of partial derivatives
  • Ability to solve systems of equations
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  • Practice calculating partial derivatives for multivariable functions
  • Learn to solve systems of equations involving multiple variables
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Oglethorpe
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Find the maximum value of f(x,y,z) = 5xyz subject to the constraint of [PLAIN]http://www3.wolframalpha.com/Calculate/MSP/MSP9619f6019f3fia87i60000567g3gb3dhi833if?MSPStoreType=image/gif&s=6&w=126&h=20.

I know to find the partial derivatives of the function and the constraint. Then, set up f(x)=λg(x) and so forth for each partial. Everything else is beyond me...
 
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Greetings! Correct, then use your constraint, g(x), to give you the fourth equation. In other words, your equations will be:
fx = λ gx,
fy = λ gy,
fz = λ gz, and
g(x).
With four equations and four unknowns, you should be able to solve.
 
By the way, since the value of \lambda itself is not part of the answer needed, you may find it simplest to start by eliminating \lambda by dividing one equation by another.

(I would not say that you set f(x)= \lambda g(x). Rather you set \nabla f(x)= \lambda \nabla g(x).)
 

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