Extremizing multivariable functions

In summary, to find the extreme values for the function f(x,y,z)=x+y+z subject to the constraint x^4+y^4+z^4=c>0, we use the method of Lagrange multipliers. We set up the Lagrangian L(x,y,z,\lambda)=x+y+z+\lambda(x^4+y^4+z^4-c) and find the critical points by setting the partial derivatives of L equal to 0. This gives us the solutions x=y=z=(-1/4\lambda)^{1/3} and c=-1/(4\lambda)^{3/4}. However, since c>0, we know that the question has no solutions. Therefore, the extreme values do not
  • #1
sandy.bridge
798
1

Homework Statement


Find extreme values for
[tex]f(x, y, z)=x+y+z[/tex]
subject to:
[tex]x^4+y^4+z^4=c>0[/tex]

Therefore, since c>0, exclude the origin.

Let [tex]L(x, y, z, \lambda{)}=x+y+z+\lambda{(}x^4+y^4+z^4-c)[/tex]
and thus
[tex]L_1(x, y, z, \lambda{)}=1+4x^3\lambda[/tex]
[tex]L_2(x, y, z, \lambda{)}=1+4y^3\lambda[/tex]
[tex]L_3(x, y, z, \lambda{)}=1+4z^3\lambda[/tex]
[tex]L_4(x, y, z, \lambda{)}=x^4+y^4+z^4-c[/tex]
with solutions
[tex]x=y=z=(-1/4\lambda{)}^{1/3}[/tex]
and
[tex]0=((-1/4\lambda{)}^{1/3})^4+((-1/4\lambda{)}^{1/3})^4+((-1/4\lambda{)}^{1/3})^4-c=3((-1/4\lambda{)}^{1/3})^4-c[/tex]
[tex]c=-1/(4c^{3/4})[/tex]
and since c>0, the question has no solutions.
 
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  • #2
(-1)^(4/3)=(+1).
 
  • #3
sandy.bridge said:

Homework Statement


Find extreme values for
[tex]f(x, y, z)=x+y+z[/tex]
subject to:
[tex]x^4+y^4+z^4=c>0[/tex]

Therefore, since c>0, exclude the origin.

Let [tex]L(x, y, z, \lambda{)}=x+y+z+\lambda{(}x^4+y^4+z^4-c)[/tex]
and thus
[tex]L_1(x, y, z, \lambda{)}=1+4x^3\lambda[/tex]
[tex]L_2(x, y, z, \lambda{)}=1+4y^3\lambda[/tex]
[tex]L_3(x, y, z, \lambda{)}=1+4z^3\lambda[/tex]
[tex]L_4(x, y, z, \lambda{)}=x^4+y^4+z^4-c[/tex]
with solutions
[tex]x=y=z=(-1/4\lambda{)}^{1/3}[/tex]
and
[tex]0=((-1/4\lambda{)}^{1/3})^4+((-1/4\lambda{)}^{1/3})^4+((-1/4\lambda{)}^{1/3})^4-c=3((-1/4\lambda{)}^{1/3})^4-c[/tex]
[tex]c=-1/(4c^{3/4})[/tex]
and since c>0, the question has no solutions.

The equation [itex] 3((-1/4\lambda{)}^{1/3})^4 = c[/itex] can certainly be solved for [itex] \lambda [/itex] as a function of [itex]c. [/itex] Then plug that solution into your formulas for x, y and z.

RGV
 
  • #4
I prefer a little different way of thinking about it. To find maximum or minimum of f(x,y,z) subject to the constraint [itex]g(x,y,z)= constant[/itex], find (x,y,z) where the gradients are parallel: [itex]\nabla f= \lambda\nabla g[/itex]. For this problem that gives
[itex]1= 4\lambda x^3[/itex], [itex]1= 4\lambda y^3[/itex], [itex]1= 4\lambda z^3[/itex]
(These are equivalent to your [itex]L_1= 1+ 4\lambda x^2= 0[/itex], etc. although you did not write the "= 0".)

Now, eliminate [itex]\lambda[/itex] by dividing one equation by another. That gives [itex]1= (x/y)^3[/itex] and [itex]1= (x/z)^3[/itex] which give x= y= z. Put that into [itex]x^4+ y^4+ z^4= c[/itex].
 
  • #5
Thanks for the responses guys.
[tex](x, y, z)=(\frac{c^{1/4}}{3^{1/4}}, \frac{c^{1/4}}{3^{1/4}}, \frac{c^{1/4}}{3^{1/4}})[/tex]
 
  • #6
I'd just like to say that when I do it following the original path, I get
[tex](x, y, z)=(-c^{1/4}/3^{1/4}, -c^{1/4}/3^{1/4}, -c^{1/4}/3^{1/4})[/tex]
 
  • #7
Since
[tex]x=y=z[/tex]
and
[tex]0=1+4x^3\lambda[/tex]
then
[tex]3(-1/(4\lambda{)})^{4/3}=c[/tex]
hence
[tex]\lambda{=}1/4(3/c)^{3/4}[/tex]
We know that
[tex]0=1+4x^3\lambda[/tex]
so
[tex]0=1+4x^3(1/4(3/c)^{3/4})[/tex]
and
[tex]x=-c^{1/4}/3^{1/4}[/tex]
however, this does not really follow the method HallsofIvy suggested..
 

1. What is the purpose of extremizing multivariable functions?

The purpose of extremizing multivariable functions is to find the maximum or minimum value of a function with two or more variables, subject to certain constraints. This can be useful in various fields of science, such as optimization problems in engineering and economics.

2. How do you find the critical points of a multivariable function?

To find the critical points of a multivariable function, you need to take the partial derivatives of the function with respect to each variable, set them equal to zero, and solve for the variables. The resulting points are the critical points, which can be further analyzed to determine if they are maximum, minimum, or saddle points.

3. What is the difference between a local extremum and a global extremum?

A local extremum is a point where the function has the highest or lowest value in a small neighborhood of the point, while a global extremum is the highest or lowest value of the function over its entire domain. In other words, a local extremum is a relative extremum, while a global extremum is an absolute extremum.

4. How do you determine if a critical point is a maximum, minimum, or saddle point?

To determine the nature of a critical point, you can use the second derivative test. If the second derivative is positive, the critical point is a minimum. If the second derivative is negative, the critical point is a maximum. If the second derivative is zero, further analysis is needed to determine the nature of the critical point.

5. Can multivariable functions have more than one maximum or minimum?

Yes, multivariable functions can have multiple local or global maximum or minimum points. This can occur when the function is not continuous or when there are multiple solutions to the equations for the critical points. It is important to consider the domain and constraints of the function to determine the appropriate maximum or minimum value.

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