What is the relationship between the gradient of a curve and its normal vector?

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The discussion clarifies the relationship between the gradient of a curve and its normal vector, emphasizing that the gradient, ∇f, is indeed normal to the tangent of the curve in two dimensions. The confusion arises from the mention of the binormal vector, which is only relevant in three dimensions, where it is perpendicular to both the tangent and the principal normal. The gradient can be expressed as the derivative of a scalar function, indicating that it is perpendicular to the tangent vector on the curve. The conversation highlights that in 3D, the gradient represents the normal to a surface rather than a curve. Overall, the gradient serves as the normal vector in 2D contexts, while the concept of binormal applies only in higher dimensions.
mikewinifred
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grad of curve is its normal ?

i read in a book grad(f)/|grad(f)| is the normal vector of the curve... but actually it should be the cross product of the binormal rite ?? .. how come the binormal is missing here as this expression will give only the tangent ! .. Help pleasezzz

mike
 
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mikewinifred said:
i read in a book grad(f)/|grad(f)| is the normal vector of the curve... but actually it should be the cross product of the binormal rite ?? .. how come the binormal is missing here as this expression will give only the tangent !

Hi mike! :smile:

(have a grad: ∇ and a curly d: ∂ and a squared: ² :smile:)

I think you're thinking of the gradient , ∇f, (of a 2D curve) as being dy/dx.

∇ operates on a scalar function of the vector (x,y).

So, for example, the curve y = x² can be written f = 0, where f = y - x².

Then ∇f = (∂f/∂y,∂f/∂x) = (1,-2x), which is perpendicular to the tangent, (2x,1). :smile:
 


First, since the text said "the" normal, you should have recognised that this is about two dimensions not 3 (there exist an entire circle of unit normals around a 3 dimensional curve). There is no "binormal" since that is perpendicular to both the tangent line and "principle" normal so you must have 3 dimensions to define it.

If a curve is given by f(x,y)= constant, then the derivative of f in the direction with angle \theta to the x-axis is
\nabla f\cdot <cos(\theta), sin(\theta)>= \frac{\partial f}{\partial x}cos(\theta)+ \frac{\partial f}{\partial y}sin(\theta)

ON the curve itself, f is a constant so the derivative in that direction is 0. That is:
\nabla f\cdot <cos(\theta), sin(\theta)>= 0
which says that grad f= \nabla f is normal to a vector pointing tangent to the curve.

In 3 dimensions, f(x,y,z)= constant is the equation of a surface and \nabal f is normal to the surface.
 
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thx guys fog cleared !
 

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