On the Crofton Formula April 11, 2018 The Crofton formula is a - - PDF document

on the crofton formula
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On the Crofton Formula April 11, 2018 The Crofton formula is a - - PDF document

On the Crofton Formula April 11, 2018 The Crofton formula is a classical result in geometry. It Introduction roughly states that the length of a regular curve (by regular we mean its length can be measured in some sense) can be given by


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On the Crofton Formula

April 11, 2018

Introduction The Crofton formula is a classical result in geometry. It roughly states that the length of a regular curve (by ‘regular’ we mean its length can be measured in some sense) can be given by the measure of all lines that intersects this curve (counting multiplicity). The measure that we put on the set of all straight lines is in fact quite

  • natural. Consider the elementary example of the Buffon’s Needle:

Given a needle of length l dropped on a plane ruled with parallel lines t units apart, what is the probability that the needle will cross a line? In the following, we assume l < t, so the needle touches the lines at most

  • nce. We can parametrize the position of a needle by x := ‘the distance

between the midpoint of the needle and the closest line’ and θ := ‘the acute angle between the needle and the horizontal line’, with 0 ≤ x ≤

t 2, and

0 ≤ θ ≤ π

2 . We may assume that the position of the needle is uniformly

  • distributed. ‘The needle touches the lines’ translates into:

x ≤ l 2 sin θ. So we can calculate the probability as follows: P =

  • π

2

θ=0

(l/2) sin θ

x=0

4 tπ dx dθ = 2l tπ. The key observation is to read the formula as a way to calculate l. (Though it was first introduced to give experimental values for π.) Since the needle touches the lines only once, we can delete all lines but one. If we fix the needle on the horizontal line and its midpoint at origin, we can view this experiment as throwing the line randomly and observe if it touches the needle. So now x is ‘the distance between the line and the origin’ and θ is ‘the acute angle between the line and the horizontal line’. The factors

4 tπ

are introduced in the framework of probability theory, so we can get rid of 1

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them at once. We also want to get rid of the upper bound for the integration in the variable x, so we define: N(x, θ) := #{intersection points of the needle and the (x, θ) line} So we have the formula:

  • π

2

θ=0

x=0

N(x, θ) dx dθ = l 2. Now we can define the parametrization similarly for all ‘unoriented’ lines

  • n the plane: (x, θ) ∈ [0, ∞] × [0, 2π) corresponds to an ‘unoriented’ line

that has distance d from the origin and ‘points’ at (cos(θ), sin(θ)).(On u − v plane, the equation is − sin(θ)u + cos(θ)v = x). dxdθ is the measure we mentioned earlier. Invariance under rigid motion Another important observation on the measure is that it is invariant under rigid motion. A rigid motion is a automorphism of E2 that preserves its metric and orientation. It is given in general by T(ρ, a) : x → A x + a where A is the rotation matrix with angle ρ. Such T(ρ, a) induces a trans- formation on the set of oriented lines (which is transitive), sending {(u, v) : − sin(θ)u+cos(θ)v = x} to {(u, v) : − sin(θ+ρ)u+cos(θ +ρ)v = x−sin(θ + ρ)a1 + cos(θ + ρ)a2} So the transformation is: T(ρ, a)(x, θ) = (x − sin(θ + ρ)a1 + cos(θ + ρ)a2, θ + ρ) It is obvious that the jacobian of this transformation is 1. If we define the measure of a set S of oriented lines to be µ(S) :=

  • S dxdθ, then we have

proved: Proposition µ(S) = µ(T(ρ, a)S). More generally, for any function defined

  • n S and a rigid motion T, we have
  • S

f(x, θ)dxdθ =

  • T −1S

f(T(x, θ))dxdθ Proof Formula for change of variables. It is easy to see that dxdθ is the only measure (up to constant) that is invariant under rigid motion. The main theorem We are now ready to state and prove our theorem. Theorem Given a smooth curve γ of finite length in E2. Define Nγ(x, θ) = #{intersection points of γ and the (x, θ) line} 2

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then we have: 2π

θ=0

x=0

Nγ(x, θ) dx dθ = 2l(γ). where l(γ) is the length of γ. Proof First, the calculation earlier shows that the formula holds for seg- ments [−l/2, l/2] (by symmetry). For a segment in a general position, we can use a rigid motion to send it to [−l/2, l/2] and use the proposition above to show that the formula still holds. In general, for a smooth curve γ, we can find a series of polygonal paths γi to approximate the curve. If lim l(γi) = l(γ) and lim Nγi(x, θ) = Nγ(x, θ) in suitable sense, the formula is proved. For technical details, we can choose the γi so that γi+1 is a refinement of γi and each segment in γi is shorter than 2−i. Then we have the following:

  • 1. lim l(γi) = l(γ)
  • 2. For each fixed (x, θ), Nγi(x, θ) ≥ Nγi−1(x, θ)
  • 3. For each fixed (x, θ), lim Nγi(x, θ) = Nγ(x, θ)

and the result follows. Generalization We give a generalization of the theorem to the situation

  • S2. The proof is similar to the case above.

Theorem Let γ be a smooth curve on the unit sphere. Then l(γ) = 1 4

  • S2 Nγ(ζ)dζ

where Nγ(ζ) := #{the intersetion points of γ and the plane perpendicular to ζ} Application We’ll give some application of the formula in this section. An ‘elementary’ proposition Between two convex, closed curves, the inner one is shorter. Proof Denote these two curves by Γ and γ, then we necessarily have NΓ ≥ Nγ. A discrete version of Fenchel’s theorem For a polygonal closed path a0a1 . . . ana0 in E3, we can define its total cur- vature by K := (ai−1ai, aiai+1). Then we have: K ≥ 2π Proof Let αi :=

ai−1ai |ai−1ai|. Then

K =

  • l(

αiαi+1) 3

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where

  • αiαi+1 denotes the minor arc between αi and αi+1. Now consider

the spheric polyhegon P determined by αi. We claim that any great circle meets P at least twice. This is true because |ai−1ai|αi = 0. Then apply the spheric version of crofton formula. What’s next? We present some other results in integral geometry. (Crofton) Let D be a bounded domain in E2. Let SD(x, θ) denote the length

  • f l(x, θ) ∩ D. Then:

πA(D) = 2π

θ=0

x=0

SD(x, θ) dx dθ where A(D) is the area of D. In the following, we use a more general kinematic density (it means a mea- sure put on a set of geometric objects that is invariant under rigid motion). To parametrize O:={all possible positions of a set C ⊂ R2}, we have a map: (θ, a, b) →‘the image of C under the compostion of θ-rotation and (a, b)-transition’. It is readily checked that ‘dK := da db dθ’ is invariant un- der rigid motion. Its importance is showed by the following results. (Poincare) Let C and Γ be piecewise C1 curves. Let O be all possible posi- tion of Γ in E2, then we have

  • O

#(Γ′ ∩ C)dK = 4l(C)l(Γ) (Santalo) Let Ω1 and Ω2 be two convex domain in E2. Let O be all possible position of Ω2 in E2, then we have

  • O

χ(Ω′

2 ∩ Ω1 = ∅)dK = 2π[A(Ω1) + A(Ω2)] + l(∂Ω1)l(∂Ω2)

  • Remark. With the above two formula, we can give a beautiful proof for the

isoperimetric inequality. Lemma Let Ω be a convex domain in E2 with boundary length L and area

  • A. Then

4πA ≤ L2 Proof Fix Ω1 ∼ = Ω ⊂ E2. Let O be the set of all possible position of Ω in E2. Define mi := µ({Ω′ ∈ O : #(∂Ω′ ∩ ∂Ω1) = i}), the measure of all positions such that the boundaries of two domains meets exactly i times. We use the ‘obvious’ fact that m1 = 0 to have: 4l(∂Ω)2 =

  • O

#(∂Ω1 ∩ ∂Ω′)dK = m1 + 2m2 + 3m3 + . . . = 2m2 + 3m3 + · · · ≥ 2(m2 + m3 + . . .) = 2

  • O

χ(Ω1 ∩ Ω′ = ∅)dK = 2(4πA(Ω) + l(∂Ω)2) 4