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Orange Peels and Fresnel Integrals 1/N Laurent Bartholdi and Andre´ G

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Orange Peels and Fresnel Integrals 1/N Laurent Bartholdi and Andre´ G ORANGE PEELS AND FRESNEL INTEGRALS 1=N LAURENT BARTHOLDI AND ANDRE´ G. HENRIQUES There are two standard ways of peeling an or- ange: either cut the skin along meridians, or cut it along a spiral. We consider here the second method, and study the shape of the spiral strip, when unfolded on a table. We derive a formula that describes the corresponding flattened-out spi- ral. Cutting the peel with progressively thinner strip widths, we obtain a sequence of increasingly long spirals. We show that, after rescaling, these FIGURE 1. An orange, assumed to be a spirals tends to a definite shape, known as the Eu- sphere of radius one, with spiral of width ler spiral. The Euler spiral has applications in 1=N. many fields of science. In optics, the illumination intensity at a point behind a slit is computed from the distance between two points on the Euler spi- ral. The Euler spiral also provides optimal curva- ture for train tracks between a straight run and an upcoming bend. It is striking that it can be also obtained with an orange and a kitchen knife. 1. OUTLINE Cut the skin of an orange along a thin spiral of constant width (fig. 1) and lay it flat on a table (fig. 2). 1 cm A natural breakfast question, for a mathematician, is which shape the spiral peel will have, when flattened out. We derive a formula that, for a given cut width, FIGURE 2. The flattened-out orange peel. describes the corresponding spiral’s shape. For the analysis, we parametrize the spiral curve arXiv:1202.3033v1 [math.HO] 14 Feb 2012 by a constant speed trajectory, and express the curva- ture of the flattened-out spiral as a function of time. This is achieved by comparing a revolution of the long spirals; rescale these spirals to make them all spiral on the orange with a corresponding spiral on a of the same size. We show that, after rescaling, the cone tangent to the surface of the orange (fig. 3, left). shape of these spirals tends to a well defined limit. Once we know the curvature, we derive a differential The limit shape is a classical mathematical curve, equation for our spiral, which we solve analytically known as the Euler spiral or the Cornu spiral (fig. 4, (fig. 4, left). right). This spiral is the solution of the Fresnel inte- We then consider what happens to our spirals when grals. we vary the strip width. Two properties are affected: The Euler spiral has many applications. In optics, the overall size, and the shape. Taking finer and finer it occurs in the study of light diffracting through a widths of strip, we obtain a sequence of increasingly slit [1, x10.3.8]. More precisely, the illumination in- Date: February 6, 2012. tensity at a point behind a slit is the square of the Partially supported by the Courant Research Centre “Higher distance between two points on the Euler spiral, eas- Order Structures” of the University of Gottingen.¨ ily determined from the slit’s geometry. 1 2 LAURENT BARTHOLDI AND ANDRE´ G. HENRIQUES plane, parameterized at unit-speed from time t = R −2πN to t = 2πN. R = p On a sphere of radius one, the area between two 1 − horizontal planes at heights h1 and h2 is 2π(h2 − h1), s 2 see (fig. 5). It follows that, at time t, the point on the s sphere has height s := t=2πN. p 1 − s2 p s 2 1 Perimeter ≈ 2π 1 − s p Width ≈ / 1 − s2 R h1 h2 = h1 + Height ≈ s FIGURE 3. left: Spiral on the sphere, transferred to the tangent cone, and devel- oped on the plane, for computing its radius Area = Width × Perimeter ≈ 2π of curvature; right: The computation of the radius of curvature R of the flattened spiral. FIGURE 5. Area of a thin circular strip on The same spiral is also used in civil engineer- the sphere. ing: it provides optimal curvature for train tracks [4, x14.1.2]. A train that travels at constant speed and increases the curvature of its trajectory at a constant Our first goal is to find a differential equation for rate will naturally follow an arc of the Euler spiral. (x(t); y(t)). For that, we compute the radius of cur- The review [2] describes the history of the Euler spi- vature R(t) of the flattened-out spiral at time t: this ral and its three independent discoveries. is the radius of circle with best contact to the curve at time t. For example, R(−2πN) = R(2πN) = 0 6 1 at the poles, and R(0) = 1 at the equator. 4 t = 2πN For N large, the spiral at time t follows roughly a 0.5 2 parallel at height s on the orange. The surface of the sphere can be approximated by a tangent cone whose 0 0 development on the plane is a disk sector (fig. 3, -2 t = 0 -0.5 left). The radius -4 t = −2πN p 2 p 2 2 -6 -1 R(t) = 1 − s =s = (2πN) − t =t -6 -4 -2 0 2 4 6 -1 -0.5 0 0.5 1 of that disk equals the radius of curvature of the spi- FIGURE 4. left: Maple plot of the orange ral at time t, and can be computed using Thales’ the- peel spiral (N = 3); orem (fig. 3, right). The radius R(t) is in fact only right: the Euler spiral; limit N ! 1. determined up to sign; our choice reflects the NE- SW orientation of the spiral on the sphere. Now, the condition that we move move at unit 2. ANALYSIS speed on the sphere — and on the plane — is (_x)2 + For the purpose of our mathematical treatment, (_y)2 = 1, and the condition that the spiral has a cur- we shall replace the orange by a sphere of radius one. vature of R(t) is x_y¨ − x¨y_ = 1=R. Here, x_ and y_ The spiral on the sphere is taken of width 1=N, see are the speeds of x and y respectively, and x¨ and y¨ (fig. 1). The area of the sphere is 4π, so the spiral has are their accelerations. In fact, introducing the com- a length of roughly 4πN. We describe the flattened- plex path z(t) = x(t) + iy(t), the conditions can be out orange peel spiral by a curve (x(t); y(t)) in the expressed as jz_j2 = 1 and z¨z¯_ = i=R. ORANGE PEELS AND FRESNEL INTEGRALS 3 The solution has the general form the Euler spiral and winds infinitely oftenp around the t p π p π Z points ±( 8 ; 8 ). Setting T := t= 4πN, the z(t) = exp(iφ(u))du; condition jtj N 0:7 becomes jT j N 0:2. We 0 have thus proven: for a real function φ; indeed, its derivative is com- _ Theorem. If T N 0:2, then the part of the orange puted as z_ = exp(iφ(t)) andp has norm 1. As z¨z¯ = p _ _ 2 iφ(t), we have φ(t) = s= 1 − s , which has as peelp of width 1=N parameterized between − 4πN T elementary solution φ(t) = −p(2πN)2 − t2. We and 4πN T is a good approximation for the part have deduced that the flattened-out spiral has param- of the Euler spiral parameterized between −T and eterization T . 8 Z t > p 2 2 Note that for large N, the piece of the orange peel <> x(t) = cos (2πN) − u du; p p 0 parameterized between − 4πN T and 4πN T forms Z t > p 2 2 a rather thin band around the orange’s equator. The :> y(t) = − sin (2πN) − u du: 0 contribution of rest of the orange disappears due to The flattened-out peel of an orange is shown in (fig. 2), the rescaling process. and the corresponding analytic solution, computed 4. CONCLUSION by MAPLE [3], is shown in (fig. 4, left). The or- ange’s radius was 3cm, and the peel was 1cm wide, The Euler spiral is a well known mathematical giving N = 3. curve. In this article, we explained how to construct it with an orange and a kitchen knife. Flattened fruit 3. LIMITING BEHAVIOUR peels have already been considered, e.g. those of ap- What happens if N tends to infinity, that is, if we ples [5], but were never studied analytically. The Eu- peel the orange with an ever thinner spiral? For that, ler spiral that we obtained has had many discoveries we recall the power series approximation across history [2]; ours occurred over breakfast. p u2 u4 a2 − u2 = a − + O( ); REFERENCES 2a a3 [1] Eugene Hecht, Optics, 4th, Pearson Educat., 2002. which we substitute with a = 2πN in the above ex- [2] Raph Levien, The Euler spiral: a mathematical history, Tech- pression: nical Report UCB/EECS-2008-111, EECS Department, Uni- t versity of California, Berkeley, 2008. Z p z(t) = exp − i (2πN)2 − u2 du [3] Michael B. Monagan, Keith O. Geddes, K. Michael Heal, 0 George Labahn, Stefan M. Vorkoetter, James McCarron, and Z t u2 Paul DeMarco, Maple 10 Programming Guide, Maplesoft, ≈ exp − i 2πN − du: Waterloo ON, Canada, 2005. 0 2 · 2πN [4] Vassilios A. Profillidis, Railway management and engineer- Taking only values of N that are integers, this sim- ing, Ashgate Publishing Ltd., 2006. plifies to R t exp(iu2=4πN)du. We then set v = [5] F.
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