Finding Max/Min Values on Functions of 3 Variables, Bounded by Ellipsoids

In summary, the homework statement states that there are two max and two min values for the function F(x, y, z) = x2 - 2x - y2 + z2 on the ellipsoid G(x, y, z) = x2 + 4y2 + z2 = 4. TheAttempt at a Solution found that x = -2 or 2 and that the two min values are (-9/5, -9/5) and (4/5, sqrt(21)/5,0).
  • #1
TranscendArcu
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Homework Statement


Find the absolute minimum and maximum of F(x,y,z) = x2 - 2x - y2 + z2 on the ellipsoid G(x,y,z) = x2 + 4y2 + z2 = 4

Homework Equations


The Attempt at a Solution


I was thinking of trying to solve this by using Lagrange multipliers. So, finding the gradients:

Fx = 2x - 2 = Gx = λ 2x
Fy = - 2y = Gy = λ 8y
Fz = 2z = Gz = λ 2z

From the first partial derivative I have 2x - 2 - λ2x = 0, which suggests x = 1/(1-λ). From the second partial derivative I have y(-2 - λ * 8) = 0, which suggests y = 0. Similarly, from the third partial derivative I have z(2 - λ * 2) = 0, which suggests z = 0. From G(1/(1-λ),0,0) I get λ = ((-/+) 1/2) + 1, or λ = 1/2 or 3/2.

Therefore, x = -2 or 2. Evaluating F(-2,0,0) = 8 and F(2,0,0) = 0. So, (-2,0,0) is our max and (2,0,0) is our min.

Does that sound about right?
 
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  • #2
The two equations may suggest a variable is 0 but it doesn't follow that it must be! However, you can argue that if y is not 0, then, dividing both sides of the second equation by y, [itex]\lambda= -1/4[/itex]. Similarly, if z is not 0, [itex]\lambda= 1[/itex]. If [itex]\lambda= 1[/itex], the first equation cannot be satisfied but if [itex]\lambda= -1/4[/itex] the first equation gives x= 4/5. Putting x= 4/5, z= 0 into [itex]x^2+ 4y^2+ z^2= 4[/itex] gives [itex]16/25+ 4y^2= 4[/itex] so [itex]y^2= 84/25[/itex] and then [itex]y= 2\sqrt{21}/5[/itex]. [itex](4/5, 2\sqrt{21}/5, 0)[/itex] also satisfies those equations. What is [itex]F(4/5, 2\sqrt{21}/5, 0)[/itex]?
 
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  • #3
HallsofIvy said:
The two equations may suggest a variable is 0 but it doesn't follow that it must be! However, you can argue that if y is not 0, then, dividing both sides of the second equation by y, [itex]\lambda= -1/4[/itex]. Similarly, if z is not 0, [itex]\lambda= 1[/itex]. If [itex]\lambda= 1[/itex], the first equation cannot be satisfied but if [itex]\lambda= -1/4[/itex] the first equation gives x= 4/5. Putting x= 4/5, z= 0 into [itex]x^2+ 4y^2+ z^2= 4[/itex] gives [itex]16/25+ 4y^2= 4[/itex] so [itex]y^2= 84/25[/itex] and then [itex]y= 2\sqrt{21}/5[/itex]. [itex](4/5, 2\sqrt{21}/5, 0)[/itex] also satisfies those equations. What is [itex]F(4/5, 2\sqrt{21}/5, 0)[/itex]?

Do you mean y = ± √(21)/5, because 16/25 + 4(2sqrt(21)/5)^2 ≠ 4. Anyway, presuming this is what you meant, I have to test the points (2,0,0), (-2,0,0), (4/5,sqrt(21)/5,0), (4/5,-sqrt(21)/5,0).

F(2,0,0) = 0
F(-2,0,0) = 8
F(4/5,sqrt(21)/5,0) = -9/5
F(4/5,-sqrt(21)/5,0) = -9/5

Therefore, my max is at (-2,0,0) and is 8. My minimums are at (4/5,sqrt(21)/5,0) and (4/5,-sqrt(21)/5,0) and are -9/5.

Sound about right?
 

FAQ: Finding Max/Min Values on Functions of 3 Variables, Bounded by Ellipsoids

How do I find the maximum and minimum values of a function with 3 variables?

To find the maximum and minimum values of a function with 3 variables, you can use the method of Lagrange multipliers. This involves setting up a system of equations using the function and the constraints (in this case, the ellipsoids) and solving for the critical points. The maximum and minimum values will be at these critical points.

What are ellipsoids and how do they relate to this problem?

Ellipsoids are 3-dimensional shapes that are defined by a set of points that are equidistant from a center point. In this problem, the ellipsoids represent the boundaries or constraints within which we are trying to find the maximum and minimum values of the function.

Can I use any method other than Lagrange multipliers to find the maximum and minimum values?

While Lagrange multipliers are the most commonly used method for finding maximum and minimum values of functions with constraints, there are other methods such as the method of substitution or the method of elimination. However, these methods may not always yield the most accurate results and may require more time and effort.

Is it possible to have more than one maximum or minimum value for a function with 3 variables?

Yes, it is possible to have multiple maximum or minimum values for a function with 3 variables. This can occur when there are multiple critical points that satisfy the constraints and have the same maximum or minimum value. In this case, all of these points would be considered as possible solutions.

How can I visualize the solution to this problem?

One way to visualize the solution to this problem is by using a graphing calculator or software to plot the function and the ellipsoids. This can help you see the critical points and understand how they relate to the function and the constraints. You can also plot level curves of the function to see how it changes along different planes.

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