Proving Normality to a Level Surface: A Derivation Approach

In summary, the conversation is about how to show that a function is normal to a level surface. The solution involves using the gradient vector, which is always perpendicular to the tangent vectors of the surface at a given point. The person asking the question is unsure about what vectors they are comparing, but the solution is simply to use the gradient vector.
  • #1
Taylor_1989
402
14

Homework Statement


Hi guys I am a bit stuck on how I am suppose to show, that thse funcitons are normal to level surface. I am I suppose to do a derivation of some sort, alls my notes say in a tiny box, that grad f is always in the direction to the normal of the surface. Do I have to calculate a direction vector, I really am not too sure. I am I have taken the partial derivative but what do I do from there?

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Homework Equations

The Attempt at a Solution

 
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  • #2
Taylor_1989 said:

Homework Statement


Hi guys I am a bit stuck on how I am suppose to show, that thse funcitons are normal to level surface. I am I suppose to do a derivation of some sort, alls my notes say in a tiny box, that grad f is always in the direction to the normal of the surface. Do I have to calculate a direction vector, I really am not too sure. I am I have taken the partial derivative but what do I do from there?

View attachment 115013

Homework Equations

The Attempt at a Solution

Please show us what you have tried.

I should mention that how your textbook describes level surfaces is at least confusing, and at worst, wrong. For a function of two variables f(x, y), the level curves are curves in the x-y plane for which f(x, y) = c, for some constant c. For example, if f(x, y) = x2 + y2 - 4, the level curves are all circles if k > -4, and a single point if k = -4. Note that the graph of z = f(x, y) is a surface in three dimensions. The level curves are two dimensional curves that lie in various planes that are parallel to the x-y plane.

For a function of three variables f(x, y, z), the level surfaces are surfaces in three dimensions for which f(x, y, z) = c, with c a constant. It's not possible to graph of a function of three variables, w = f(x, y, z), as this would require four dimensions. One could graph the level surfaces f(x, y, z) = c, as each level surface requires only three dimensions.

As far as the part about showing that the gradient is normal to the level curve/level surface, you previously should have learned something about how to determine whether two vectors are perpendicular.
 
  • #3
First thanks for the clarification. Two vectors will be perpendicular we the dot product is equal to 0. But What I do understand is what vectors I am comparing?
See I get the partial derivative will give me grad f but where is the other vector. I can't see how I am suppose to show that the it perpendicular without another vector. I am very new to this maths a day to be exact. So I am thinking that the arbitary postion that i choose say ##(x_0,y_0,z_0## is a postion vector?
 
  • #4
Taylor_1989 said:
First thanks for the clarification. Two vectors will be perpendicular we the dot product is equal to 0. But What I do understand is what vectors I am comparing?
See I get the partial derivative will give me grad f but where is the other vector. I can't see how I am suppose to show that the it perpendicular without another vector. I am very new to this maths a day to be exact. So I am thinking that the arbitary postion that i choose say ##(x_0,y_0,z_0## is a postion vector?
I think you are overthinking this problem. If you want a vector perpendicular to a level surface, the answer is the gradient vector. That's all you have to do. Now, if you look back at the proof of the theorem that says the gradient is always perpendicular to a level surface, you might see an argument that shows the gradient is perpendicular to all the tangent vectors to the surface at a given point. That tells you the "other" vectors to which the gradient is perpendicular. But you don't usually reprove the theorem every time you want to use it. So if you want a vector perpendicular to a surface at a point ##(x_0,y_0,z_0)## on the surface ##f(x,y,z)=C##, the answer is ##\nabla f(x_0,y_0,z_0)##. That's all you have to do.
 
  • #5
Taylor_1989 said:
First thanks for the clarification. Two vectors will be perpendicular we the dot product is equal to 0. But What I do understand is what vectors I am comparing?

I think you're supposed to figure out what the normal to each surface is based on your answers to exercise 3.1 and show ##\nabla f## is proportional to it.
 

FAQ: Proving Normality to a Level Surface: A Derivation Approach

What does it mean for something to be "normal to a level surface"?

When an object or surface is said to be "normal" to a level surface, it means that it is perpendicular, or at a 90 degree angle, to the surface at that point. In other words, it is exactly perpendicular to the force of gravity acting on it.

How is the normal line or vector determined on a surface?

The normal line or vector on a surface is determined by finding the direction that is perpendicular to the tangent line or plane at a given point on the surface. This can be calculated using calculus or by using a level or plumb line.

What is the significance of the normal vector on a surface?

The normal vector on a surface is important because it tells us the direction of the surface's slope. It is also used in physics and engineering to calculate forces and stresses acting on an object or structure.

Can a surface have more than one normal vector?

No, a surface can only have one normal vector at a given point. This is because the normal vector is always perpendicular to the surface at that point, and there can only be one direction that is perpendicular to a given surface at a specific point.

How is the normal vector used in everyday life?

The normal vector is used in many everyday applications, such as construction, engineering, and design. It is also used in fields like computer graphics and video game development to create realistic 3D environments. In physics, the normal vector is crucial in understanding and calculating the motion and forces of objects on different surfaces.

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