Normals to (hyper)surface must be scalar multiples?

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In summary, the conversation discusses the relationship between normal vectors to a (hyper)surface defined by F(x)=0 and the proof that they are scalar multiples of each other. The conversation also delves into the question of whether this relationship holds true for hypersurfaces in higher dimensions. The conclusion is that, using the implicit function theorem, it can be proven that in dimension n, a hypersurface has n-1 independent tangent vectors and therefore, only one unique normal vector. This proves that there can only be one normal vector to a smooth hypersurface at any given point.
  • #1
kingwinner
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Homework Statement


Let S is a (hyper)surface defined by {x|F(x)=0}. Suppose n1 and n2 are both normal to S at x=a. Then n1 and n2 are scalar multiples of each other.


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The Attempt at a Solution


If S is a surface in R3, then I think it's clear geometrically that the above must be true in this case. But what about in higher dimensions (hypersurface)? Is the above still true? If so, how can we prove it? I really can't think of a sound way of justifying it. Or is the above only true for a surface in R3?

Thank you for answering.
 
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  • #2
It basically comes down to the fact that the direction of a vector normal to the surface is given by grad F(x). So yes, it still holds for dim > 3.
 
  • #3
But how do you know that
if there is another normal vector n1 to the (hyper)surface, then it must be a scalar multiple of grad F(x)?
 
  • #4
Because there exist only one normal line to a (smooth) surface at any point on that surface. Any normal vector must lie along that line.
 
  • #5
HallsofIvy said:
Because there exist only one normal line to a (smooth) surface at any point on that surface. Any normal vector must lie along that line.

I think I understand that for surface, but how about hypersurface? Is there a theorem saying that the noraml line to a smooth hypersurface must be unique?

Thanks.
 
  • #6
kingwinner said:
I think I understand that for surface, but how about hypersurface? Is there a theorem saying that the noraml line to a smooth hypersurface must be unique?

Thanks.

A hypersurface in dimension n is given as F(x)=0 where grad(F) is nonzero. Use the implicit function theorem to prove that a hypersurface in dimension n has n-1 independent tangent vectors, if you don't already know that. A normal to the surface has to be orthogonal to all those tangent vectors. That gives you a set of n linearly independent vectors. Can there be two linearly independent normals?
 

1. What does it mean for a normal to a surface to be a scalar multiple?

A normal to a surface being a scalar multiple means that the normal vector is a multiple of another vector in the same direction. This indicates that the normal vector is a scaled version of the other vector, where the scaling factor is a scalar value.

2. Why is it important for normals to (hyper)surfaces to be scalar multiples?

It is important for normals to (hyper)surfaces to be scalar multiples because it simplifies calculations and makes it easier to determine the behavior of the surface. It also allows for easier visualization and understanding of the surface's properties.

3. Can a normal to a surface be a scalar multiple of more than one vector?

Yes, a normal to a surface can be a scalar multiple of more than one vector. This is because there can be multiple vectors that are parallel to the normal vector and have the same direction, but with different magnitudes.

4. How is the scalar multiple of a normal to a surface calculated?

The scalar multiple of a normal to a surface can be calculated by taking the dot product of the normal vector and another vector in the same direction. The resulting value will be the magnitude of the normal vector, which can then be used to determine the scalar multiple.

5. Is it possible for a normal to a surface to not be a scalar multiple?

Yes, it is possible for a normal to a surface to not be a scalar multiple. This can occur when the normal vector is perpendicular to the surface and there is no other vector in the same direction. In this case, the normal vector cannot be a scalar multiple of any other vector.

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