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An Evolute of a Circular Helix |
This means that
lies along the tangent to at . is orthogonal to .
Our goal is to understand what we can say about evolutes.
Basic Description of Evolutes
So, suppose thatBegin by writing
Again, by our defining conditions,
We will have to work a little harder to find a reasonable form for
Note that
Some algebraic manipulation eventually yields
Integrating, we find that
which means that
for some constant
So, there we have it. If
This means that the set of all possible evolutes forms a one-parameter family, and for any particular choice of
Let's make a plot of a piece of a helix and part of an evolute for that helix. Note that I chose
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var('s')
x(s) = cos(s)/sqrt(2); y(s) = sin(s)/sqrt(2); z(s) = s/sqrt(2)
kappa = 1/sqrt(2); tau = 1/sqrt(2); rho = sqrt(2)
n1(s) = -cos(s); n2(s) = -sin(s); n3(s) = 0
b1(s) = sin(s)/2; b2(s) = -cos(s)/2; b3(s) = 1/2
alpha(s) = [x(s),y(s),z(s)]
P = parametric_plot3d(alpha(s), [s,-pi,pi], color='black',thickness=2, aspect_ratio=1)
mu(s) = rho * cot( tau*s + pi/2)
beta1(s) = x(s) + rho*n1(s) + mu(s)*b1(s)
beta2(s) = y(s) + rho*n2(s) + mu(s)*b2(s)
beta3(s) = z(s) + rho*n3(s) + mu(s)*b3(s)
beta(s) = [beta1(s), beta2(s), beta3(s)]
tmin = -pi/2; tmax=pi/2
times = [tmin,3*tmin/4, tmin/2,tmin/4, 0, tmax/4, tmax/2,3*tmax/4, tmax]
Q = parametric_plot3d([beta1(s),beta2(s),beta3(s)], [s,tmin,tmax],color='red',thickness=2)
for time in times:
Q+= line([alpha(time), beta(time)], color='blue')
(P+Q).show()
Evolutes of Plane Curves
Consider the case wherefor some choice of constant
Preparation: Derivatives of
To get ready to use our crazy formulae, we must compute the first three derivatives of with respect to . We start from Equation (1) and follow our noses (we are all looking in the same direction, right?), and eventually, one finds these:
Now, it may seem odd at first that we have chosen to express things this way, instead of sticking to our basis
Preparation: funny expressions we need
Now it is not too hard to compute the different pieces of our crazy formulae.Of course, for any vector
So now
Also,
Finally, we need the triple product
Removing multiples of the first row from the others, and then a multiple of the second row from the third, we obtain
Now, let's pull out constants and then remove a multiple of the third row from the first row to obtain
Computation of Curvature and Torsion for :
Finally, we apply our formulae for curves which are not parametrized by arc-length. We find that the curvature is
Now we can compute the torsion
Hey, Wait A Minute!
Those expressions have a lot in common. In particular, if we look at the ratio of curvature to torsion we see
Theorem: An evolute of a plane curve is a (generalized) helix.
[[ That needs a picture: the evolute of an ellipse with a reasonably big angle would be good ]]
Special Choice
Suppose we choose , then lies in the same plane as . In fact, is the locus of the centers of curvature of . We can be more clear.
Theorem: Suppose that is an evolute of the planar curve . Then lies in the same plane as if, and only if, is the locus of centers of . Moreover, such is a regular curve exactly at those points where .
Proof: We already have one direction. Next, suppose that is an evolute of which happens to lie in the same plane as . Then for some functions and and some constant we have
Now, is a regular curve? We can easily compute the speed from our work above:
[[ I need a picture here, too: an ellipse with the planar evolute showing off the four vertices clearly.]]
The condition
There is a paper about evolutes in the issue of the American Mathematical Monthly that just appeared, so this serves as a small introduction. Perhaps we'll have more to say about the topic from a more geometric vein later.
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