Orthogonal derivative of binormal vector.

In summary, we have shown that dB/ds is orthogonal to both B(s) and T(s) and therefore parallel to N. This leads to the conclusion that there is a scalar function τ(s) such that dB/ds = -τ(s)N, known as the torsion of the curve.
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Homework Statement



Suppose that r(s) defines a curve parametrically with respect to arc length and the r′(s) is nonzero on the curve. Show that dB/ds is orthogonal to both
B(s) and T(s). Conclude that there is a scalar function τ(s) such that
dB/ds = −τ (s)N . (This function τ is known as the torsion of the curve.)



The Attempt at a Solution


Not really sure how to approach this one. I'd say we need to show some way that dB/ds x B = 0 and the same with T, but I'm not sure how to do it completely algebraically... As for τ, is it enough just to show that dB/ds is parallel to N? This would simply follow from the proof that it is orthogonal to B and T, since T x B = N (or T x N = B)
 
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  • #2
and therefore dB/ds x N = -dB/ds x T = τ(s).


Hello, thank you for your post. Let's start by defining some terms. The curve r(s) is a parametric curve defined with respect to arc length, which means that the parameter s represents the distance along the curve. The vector r'(s) is the tangent vector to the curve at any given point, and it is nonzero on the curve because the curve is smooth.

To show that dB/ds is orthogonal to both B(s) and T(s), we can use the fact that the derivative of a vector function is always orthogonal to the vector itself. In this case, we have:

(dB/ds) · B = dB/ds · (r' x r'') = (dB/ds x r') · r'' = 0

Similarly, we can show that (dB/ds) · T = 0. This means that dB/ds is orthogonal to both B and T, and therefore parallel to N.

To show that there is a scalar function τ(s) such that dB/ds = -τ(s)N, we can use the fact that the derivative of B(s) is equal to -τ(s)N. This means that τ(s) = -|dB/ds|, where |dB/ds| is the magnitude of the derivative of B. This function τ(s) is known as the torsion of the curve, and it measures the rate of change of the direction of the curve.

I hope this helps! Let me know if you have any further questions.
 

Related to Orthogonal derivative of binormal vector.

What is the definition of orthogonal derivative of binormal vector?

The orthogonal derivative of binormal vector is the rate of change of the binormal vector with respect to the arc length of a curve. It measures the change in direction of the binormal vector as the curve is traversed.

How is the orthogonal derivative of binormal vector calculated?

The orthogonal derivative of binormal vector is calculated by taking the cross product of the tangent vector and the derivative of the binormal vector with respect to the arc length.

What is the significance of the orthogonal derivative of binormal vector in curve analysis?

The orthogonal derivative of binormal vector is important in curve analysis because it helps determine the curvature and torsion of a curve. It also plays a role in understanding the geometry of a curve and its orientation in space.

How does the orthogonal derivative of binormal vector relate to other derivatives of the curve?

The orthogonal derivative of binormal vector is related to other derivatives of the curve, such as the tangent vector and the normal vector. It is used in conjunction with these derivatives to fully describe the geometry of a curve.

Are there any real-world applications of the orthogonal derivative of binormal vector?

Yes, the orthogonal derivative of binormal vector has various applications in physics, engineering, and computer graphics. It is used in the study of motion, fluid dynamics, and the simulation of 3D objects and animations.

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