Finding absolute extrema with only 1 critical point

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SUMMARY

The discussion centers on determining whether the critical point (-1/2, -1/4, 1/2) with a value of -1/2 is a maximum or minimum for the function f(x,y,z) = x + 2y + z, subject to the constraint x^2 + 4y^2 - z = 0. The second derivative test is not applicable here as all second partial derivatives equal zero. The participants suggest using alternative methods, such as evaluating the function's behavior around the critical point and considering the constraint's implications.

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  • Understanding of critical points in multivariable calculus
  • Familiarity with constraints in optimization problems
  • Knowledge of first and second derivative tests
  • Basic concepts of multivariable functions
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Students and educators in calculus, particularly those focusing on optimization in multivariable functions, as well as mathematicians seeking to deepen their understanding of critical point analysis under constraints.

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Homework Statement


Edit: Not absolute, just extrema

I've already found the critical point to be (-1/2, -1/4, 1/2) with a value of -1/2. My only problem is finding whether this is a max or min. What technique do I use to find out? I don't believe I can use the 2nd derivative test because all the 2nd partial derivatives will equal 0.f(x,y,z) = x + 2y + z

constraint => x^2 + 4y^2- z = 0

Homework Equations


The Attempt at a Solution



Critical point (-1/2, -1/4, 1/2). Value = -1/2

How do I determine whether that is a max or min?
 
Last edited:
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Assuming you did everything right the best first method is just to think about it. x=0, y=0, z=0 also satisfies your contraint. So?
 

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