Travis Henderson's Question: Optimizing f(x,y,z) with Constraint

Click For Summary
SUMMARY

The optimization problem involves finding the maximum and minimum values of the function f(x,y,z) = x^4 + y^4 + z^4 under the constraint g(x,y,z) = x^2 + y^2 + z^2 - 1 = 0. Utilizing Lagrange multipliers, the analysis reveals 12 critical points where one variable is zero and the other two are equal, yielding a function value of f_1 = 1/2. Additionally, there are 6 critical points where two variables are zero, resulting in f_2 = 1. Lastly, 8 critical points arise from the case where x = y = z, leading to f_3 = 1/3. Therefore, the minimum value is f_min = 1/3 and the maximum value is f_max = 1.

PREREQUISITES
  • Understanding of Lagrange multipliers
  • Familiarity with optimization techniques in multivariable calculus
  • Knowledge of critical points and their significance in function analysis
  • Ability to manipulate algebraic expressions and constraints
NEXT STEPS
  • Study the application of Lagrange multipliers in various optimization problems
  • Explore the concept of critical points in multivariable functions
  • Learn about the geometric interpretation of constraints in optimization
  • Investigate other optimization techniques such as the method of steepest descent
USEFUL FOR

Mathematicians, students of calculus, and professionals involved in optimization problems who seek to enhance their understanding of constrained optimization techniques.

Physics news on Phys.org
Hello Travis,

We are given the objective function:

$f(x,y,z)=x^4+y^4+z^4$

subject to the constraint:

$g(x,y,z)=x^2+y^2+z^2-1=0$

Using Lagrange multipliers, we obtain the system:

$4x^3=\lambda(2x)$

$4y^3=\lambda(2y)$

$4z^3=\lambda(2z)$

We see that 12 critical points arise when one of the variables is zero, and the other two are not zero. We see that the other two have to be equal, and their value is found from the constraint:

$y^2+x^2=1$

$x=y=\pm\frac{1}{\sqrt{2}}$

The 12 critical points come from the permutations of:

$\displaystyle \left(0,\pm\frac{1}{\sqrt{2}},\pm\frac{1}{\sqrt{2}} \right),\,\left(\pm\frac{1}{\sqrt{2}},0,\pm\frac{1}{\sqrt{2}} \right),\,\left(\pm\frac{1}{\sqrt{2}},\pm\frac{1}{\sqrt{2}},0 \right)$

The objective function's value is the same at each of the 12 points and is given by:

$f_1=\dfrac{1}{2}$

We also see that there are 6 critical values that arise from two of the varaibles being zero, and the other one being $\pm1$. They are:

$(0,0,\pm1),\,(0,\pm1,0),\,(\pm1,0,0)$

The objective function's value is the same at each of the 12 points and is given by:

$f_2=1$

Lastly the other 8 critical values comes from:

$x=y=z$

and substituting into the constraint, we find:

$x=y=z=\pm\dfrac{1}{\sqrt{3}}$

and so we have the 8 permutations of:

$f_3=f\left(\pm\dfrac{1}{\sqrt{3}},\pm\dfrac{1}{ \sqrt{3}},\pm\dfrac{1}{\sqrt{3}} \right)=\dfrac{1}{3}$

Hence we find:

$f_{\text{min}}=\dfrac{1}{3}$

$f_{\text{max}}=1$
 
Last edited:

Similar threads

Replies
6
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
Replies
4
Views
2K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
1
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
1
Views
2K