Finding Points of Tangency for Parallel Planes on a Multivariable Surface

In summary, the conversation revolves around a review question that requires finding points on a surface where the tangent plane is parallel to a given plane. The suggested approach is to use Lagrange multipliers, but the person is unsure how to set up and solve the system of equations. Another person suggests using the normal vectors to determine parallel planes and finding the normal vector for the given plane and the tangent plane. This approach does not require Lagrange multipliers and is commonly found in calculus textbooks.
  • #1
Jared596
6
0
Ok, I'm pretty much at whit's end trying to figure this review question out. Apparently my teacher forgot to mention that our book couldn't teach us everything we need to know for our test... Anyhow, the question is as follows, and I'm utterly at a loss as to what the answer is:

Find the points on the surface [ 2(x^2) + (y^2) + 4(z^2) = (1) ] at which the tangent plane is parallel to the plane [ (-3x) + (y) - (2z) = (-9) ]

I've tried all sorts of guesses at what the correct method would be, but the book I'm learning from offers no examples or other such answers for this type of problem. At this point I can't offer any answers I've arrived at other than the possibility that a particular line on the given plane might intersect the surface at 2 points, but I have no idea how to find such a line, nor am I sure that this is even the proper approach. Can someone please help me out here?
 
Physics news on Phys.org
  • #2
Write out a "generic" (parametric) equation that describes all planes that are parallel to the given plane, z = f(x, y, known constants, unknown parameters).

Write out the surface as z = g(x, y, known constants). Write out the formula for its tangential plane at any point (x, y, g(x, y, known constants)). Say that formula is z = h(x, y, known constants). Solve f(x, y, k.c., u.p.) = h(x, y, k.c.) for (x, y) for any value of u.p.
 
Last edited:
  • #3
It sounds like he's trying to get you to apply Lagrange Multipliers. I don't know what book you're using, but this appears in Chapter 12 of Thomas & Finney (which is a common calculus book for college courses).

First, you want a function whose level surfaces are planes parallel to the given plane. The equation of a plane is

[tex]ax+by+cz = N[/tex]

and for a given a, b, c, this generates a family of parallel planes. Then, define

[tex]f(x,y,z) = ax+by+cz[/tex]

Now, you want to find maxima and minima of f subject to the constraint

[tex]g(x,y,z) = 2x^2+y^2+4z^2 - 1[/tex]

That is, take your equation for the ellipsoid, and collect all the terms on one side so you can express it in the form g(x,y,z) = 0.

Now, f is maximized on g when a level surface of f is tangent to a level surface of g. Therefore, the normal to the level surface of f will be proportional to the normal to the level surface of g. But we already know how to find the normal to the level surfaces: it's given by the gradient. Therefore,

[tex]\nabla f = \lambda \nabla g[/tex]

This is a vector equation, and so it actually yields three separate equations (all with the same [itex]\lambda[/itex]). Combined with the equation

[tex]g(x,y,z) = 0,[/tex]

these give you four equations in four unknowns:, x, y, z, and [itex]\lambda[/itex]. Now you just solve this system of equations.
 
  • #4
You hardly need Lagrange multipliers! That looks like the kind of problem EVERY calculus book deals with! Two planes are parallel if and only if their normal vectors are parallel. What is a normal vector for the plane (-3x) + (y) - (2z) = (-9) ? (You can copy it right off that equation!) What is the normal vector for any tangent plane to 2(x^2) + (y^2) + 4(z^2) = (1) (hint: the gradient of the function f(x,y,z)= constant points in the direction of the normal to the surface.). It will depend on x,y,z. Choose x,y,z so that the two vectors are parallel (and so that they satisfy the equation of the surface).
 
  • #5
Ben Niehoff said:
It sounds like he's trying to get you to apply Lagrange Multipliers. I don't know what book you're using, but this appears in Chapter 12 of Thomas & Finney (which is a common calculus book for college courses).

First, you want a function whose level surfaces are planes parallel to the given plane. The equation of a plane is

[tex]ax+by+cz = N[/tex]

and for a given a, b, c, this generates a family of parallel planes. Then, define

[tex]f(x,y,z) = ax+by+cz[/tex]

Now, you want to find maxima and minima of f subject to the constraint

[tex]g(x,y,z) = 2x^2+y^2+4z^2 - 1[/tex]

That is, take your equation for the ellipsoid, and collect all the terms on one side so you can express it in the form g(x,y,z) = 0.

Now, f is maximized on g when a level surface of f is tangent to a level surface of g. Therefore, the normal to the level surface of f will be proportional to the normal to the level surface of g. But we already know how to find the normal to the level surfaces: it's given by the gradient. Therefore,

[tex]\nabla f = \lambda \nabla g[/tex]

This is a vector equation, and so it actually yields three separate equations (all with the same [itex]\lambda[/itex]). Combined with the equation

[tex]g(x,y,z) = 0,[/tex]

these give you four equations in four unknowns:, x, y, z, and [itex]\lambda[/itex]. Now you just solve this system of equations.

WHAT? I followed you up to setting the ellipsoid equal to 0, then I have no idea what you're talking about. We haven't done lagrange multipliers. We're about half way through Ch. 11 of James Stewart's Calculus: Concepts and Contexts 3. I don't understand how you're establishing a system of equations, nor how you're combining them with g(x,y,z)=0...
 
  • #6
HallsofIvy said:
You hardly need Lagrange multipliers! That looks like the kind of problem EVERY calculus book deals with! Two planes are parallel if and only if their normal vectors are parallel. What is a normal vector for the plane (-3x) + (y) - (2z) = (-9) ? (You can copy it right off that equation!) What is the normal vector for any tangent plane to 2(x^2) + (y^2) + 4(z^2) = (1) (hint: the gradient of the function f(x,y,z)= constant points in the direction of the normal to the surface.). It will depend on x,y,z. Choose x,y,z so that the two vectors are parallel (and so that they satisfy the equation of the surface).

Ok now this I can follow, but I'm pretty sure its what I've been trying. Going by your explanation I would set 4x=-3, 2y=1, and 8z=-2, then solve equation for x y and z to get the first point then multiply every value by some constant to get another point, correct? If so, then that is what I tried.
 
  • #7
No, that's not what I said. Though the two vectors are parallel they are not necessarily of the same length. All you can say is 4x= -3c, 2y= c, 8z= -2c. That gives x= -3c/4, y= c/2, z= -c/4.
NOW use the fact that [itex]2x^2+ y^2+ 4z^2= 1[/itex] to find the possible values of c.
 
  • #8
after we find value of C, what we do from there?
 
  • #9
hello, anyone there who can help me understand what to do after finding C?
 

FAQ: Finding Points of Tangency for Parallel Planes on a Multivariable Surface

What is a multivariable tangent plane?

A multivariable tangent plane is a two-dimensional plane that touches a multivariable function at a specific point, known as the point of tangency. It approximates the behavior of the function near that point and can be used to find the slope, or rate of change, of the function in different directions.

How is a multivariable tangent plane calculated?

To calculate a multivariable tangent plane, we use the partial derivatives of the function at the point of tangency. These partial derivatives give us the slopes of the function in the x and y directions, which we use to construct the tangent plane.

What is the significance of a multivariable tangent plane?

A multivariable tangent plane is significant because it allows us to analyze the behavior of multivariable functions in a more simplified way. By approximating the function with a two-dimensional plane, we can better understand its behavior near a specific point and make predictions about its behavior in different directions.

Can a multivariable tangent plane be used to find the maximum or minimum of a function?

Yes, a multivariable tangent plane can be used to find the maximum or minimum of a function. By finding the point of tangency and the slope of the tangent plane, we can determine where the function is increasing or decreasing. The point where the tangent plane is horizontal (slope = 0) represents a local maximum or minimum of the function.

How is a multivariable tangent plane different from a regular tangent line?

A multivariable tangent plane is different from a regular tangent line because it takes into account the behavior of a function in multiple directions, rather than just one. A tangent line only approximates the behavior of a function in one direction, while a tangent plane takes into account the slopes in both the x and y directions at a specific point.

Back
Top