Multivariable calculus: constant curvature

In summary, a parametrized curve with constant and positive extrinsic curvature does not necessarily mean the curve is a circle. However, if the curve also has zero torsion and lies on a plane, then it must be a circle. This can be proven using the Frenet-Serret formulas and the properties of the osculating circle.
  • #1
Nikitin
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If the curvature is always constant and >0 for a parametrized curve C, does it automatically mean the curve is a circle?
 
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No. Let ##\gamma:\mathbb{R}\rightarrow \mathbb{R}^{3}## be the regular curve given by ##\gamma(t) = (r\cos t,r\sin t, ct)## where ##r## is a positive constant and ##c## is another constant. The extrinsic curvature of this curve as embedded in ##\mathbb{R}^{3}## is given by ##\kappa = \frac{r}{r^{2} + c^{2}}## which is always positive and constant. ##\gamma## is called a helix; ##r## is the radius of the helix and ##2\pi c## is a constant giving the vertical separation of the successive loops of the helix.

EDIT: just to be complete, if the torsion of the curve ##\gamma: J \rightarrow \mathbb{R}^{3}## is zero i.e. ##\gamma## lies on a plane, and ##\gamma## has constant positive curvature then it must be a circle. This is easily proven. If the torsion is zero then the Frenet-Serret formulas give us ##\frac{\mathrm{d} N}{\mathrm{d} s} = -\kappa T##. Recall that the center of the osculating circle to ##\gamma## at some ##s\in J## is given by ##p(s) = \gamma(s) + \frac{1}{\kappa}N(s)##. Note that ##\frac{\mathrm{d} p}{\mathrm{d} s} = \frac{\mathrm{d} \gamma}{\mathrm{d} s} + \frac{1}{\kappa}\frac{\mathrm{d} N}{\mathrm{d} s} = T + \frac{1}{\kappa}(-\kappa T) = 0 ## and that ##\left \| p(s) - \gamma(s) \right \| = \frac{1}{\kappa} = \text{const.} \forall s\in J## hence ##\gamma## must be a circle because the center of the osculating circle to ##\gamma## never changes and the distance from this fixed center to the curve is always constant and is given by ##1/\kappa## i.e. the osculating circle is the curve itself.
 
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Ah yes, you're completely right. Thanks!
 

Related to Multivariable calculus: constant curvature

1. What is multivariable calculus?

Multivariable calculus is a branch of mathematics that deals with the study of functions of multiple variables. It involves the use of calculus techniques, such as differentiation and integration, to analyze and solve problems in higher dimensions.

2. What is constant curvature?

Constant curvature refers to the property of a geometric object where the curvature at any point on the object is the same. This means that the object has a uniform shape and its curvature does not change at different points.

3. How is constant curvature related to multivariable calculus?

In multivariable calculus, the concept of curvature is extended to functions of multiple variables. The curvature of a surface in three-dimensional space can be characterized by its Gaussian curvature, which is a measure of the rate of change of the surface's normal vectors. In the case of constant curvature, this value is the same at every point on the surface.

4. What are some real-life applications of multivariable calculus with constant curvature?

Multivariable calculus with constant curvature has various applications in fields such as physics, engineering, and computer graphics. It is used to study the motion of objects in three-dimensional space, analyze the behavior of electromagnetic fields, and create realistic 3D models of objects with curved surfaces.

5. What are some techniques used to solve problems involving multivariable calculus with constant curvature?

Some common techniques used in solving problems involving multivariable calculus with constant curvature include using partial derivatives, vector calculus, and the method of Lagrange multipliers. These techniques allow for the calculation of critical points, optimization, and finding the curvature of a surface at a given point.

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