The Sound of Symmetry
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1 Zhiqin Lu, University of California, Irvine February 28, 2014, California State Long Beach
2 In 1966, M. Kac asked the the following question: Question If two planar domains have the same spectrum, are they identical up to rigid motions of the plane?
3 In 1966, M. Kac asked the the following question: Question If two planar domains have the same spectrum, are they identical up to rigid motions of the plane? (Can one hear the shape of a drum?)
4 For a domain Ω in R 2, the above mentioned spectrum is the set of eigenvalues of the Laplace operator with Dirichlet boundary condition. This is the set of all real numbers λ such that there exists a smooth function u on Ω satisfying the Laplace equation and boundary condition u(x, y) := 2 u x u = λu(x, y), y 2 u = 0 on the boundary of Ω.
5 The eigenvalues of a bounded domain from a discrete set of (0, ) 0 < λ 1 < λ 2 λ The set of eigenvalues {λ k } k=1 is in bijection with the resonant frequencies a drum would produce if Ω were its drumhead. With a perfect ear one could hear all these frequencies and therefore know the spectrum. In other words, if two drums sound identical to a perfect ear and therefore have identical spectra, then are they the same shape?
6 Let s take a look at the simplest case and assume that our drum is actually a string which is mathematically described by the ordinary differential equation f (x) = λf (x), f (0) = f (l) = 0. We know from calculus that the solutions are ( ) kπx f k (x) = sin, with λ = λ k = k2 π 2 l l 2 for k = 1, 2,. Question Can one hear the shape of a string?
7 The shape of the string is just its length, so we can formulate the question as: if we know the set of all {λ k } k=1, then do we know the length of the string?
8 The shape of the string is just its length, so we can formulate the question as: if we know the set of all {λ k } k=1, then do we know the length of the string? l = π 2 λ 1. This shows that we can hear the length of the string based on the first eigenvalue.
9 Exercise Prove that one can hear the shape of a rectangle.
10 1 Can you compute the eigenvalues of other domains?
11 1 Can you compute the eigenvalues of other domains? 2 disks, annuals, etc...
12 1 Can you compute the eigenvalues of other domains? 2 disks, annuals, etc... 3 How to answer the question of Kac s?
13 1 Can you compute the eigenvalues of other domains? 2 disks, annuals, etc... 3 How to answer the question of Kac s? Mathematically, the question is equivalent to determining whether or not the following map Λ : M R, Ω (λ 1, λ 2,, λ k, ), is injective, where M is the moduli space of all bounded domains in R 2.
14 Counterexample of Kac s question Gordon, Webb, and Wolpert gave a counterexample: Figure : Identical sounding drums
15 1 Many open problems remain.
16 1 Many open problems remain. 2 Motivated by these problems we shall investigate the injectivity of Λ restricted to certain subsets of M.
17 1 Many open problems remain. 2 Motivated by these problems we shall investigate the injectivity of Λ restricted to certain subsets of M. 3 A natural choice is the set of convex n-gons since this set can be identified with a finite dimensional manifold with corners.
18 1 Many open problems remain. 2 Motivated by these problems we shall investigate the injectivity of Λ restricted to certain subsets of M. 3 A natural choice is the set of convex n-gons since this set can be identified with a finite dimensional manifold with corners. 4 Surprisingly, even within this subset Kac s question is a subtle problem. Durso (1988) proved that one can hear the shape of a triangle, so in fact Λ restricted to the moduli space of Euclidean triangles is injective. For n > 3 the problem is widely open.
19 The spectrum not only determines the resonant frequencies of vibration but also the so called heat trace. e λkt. k=1
20 The spectrum not only determines the resonant frequencies of vibration but also the so called heat trace. e λkt. k=1 The above is convergent for any t > 0.
21 The spectrum not only determines the resonant frequencies of vibration but also the so called heat trace. e λkt. k=1 The above is convergent for any t > 0. In particular, λ k and is an unbounded operator.
22 How to prove that is finite for any t > 0? k=1 e λ kt
23 The heat kernel is a smooth function H(x, y, t) such that t H(x, y, t) = x H(x, y, t) H(x, y, t) = 0 for x on the boundary H(x, y, 0) = δ x (y) is the dirac function
24 The heat kernel is a smooth function H(x, y, t) such that t H(x, y, t) = x H(x, y, t) H(x, y, t) = 0 for x on the boundary H(x, y, 0) = δ x (y) is the dirac function Symbolically, H = e t.
25 The heat kernel is a smooth function H(x, y, t) such that t H(x, y, t) = x H(x, y, t) H(x, y, t) = 0 for x on the boundary H(x, y, 0) = δ x (y) is the dirac function Symbolically, H = e t. t (e t )
26 The heat kernel is a smooth function H(x, y, t) such that t H(x, y, t) = x H(x, y, t) H(x, y, t) = 0 for x on the boundary H(x, y, 0) = δ x (y) is the dirac function Symbolically, H = e t. t (e t ) = (e t )
27 The heat kernel is a smooth function H(x, y, t) such that t H(x, y, t) = x H(x, y, t) H(x, y, t) = 0 for x on the boundary H(x, y, 0) = δ x (y) is the dirac function Symbolically, H = e t. t (e t ) = (e t ) e λkt = Tr (e t ) = k=1 Ω H(x, x, t)dx.
28 The heat kernel in R 2 is 1 x y 2 4πt e 4t.
29 The heat kernel in R 2 is 1 x y 2 4πt e 4t. Can we compute the heat kernel for any domain explicitly?
30 The heat kernel in R 2 is 1 x y 2 4πt e 4t. Can we compute the heat kernel for any domain explicitly? Yes and No!
31 The heat kernel in R 2 is 1 x y 2 4πt e 4t. Can we compute the heat kernel for any domain explicitly? Yes and No! By our life experience,
32 The heat kernel in R 2 is 1 x y 2 4πt e 4t. Can we compute the heat kernel for any domain explicitly? Yes and No! By our life experience, H(x, y, t) is very small when d(x, y) is big or t is small!
33 The idea of Kac Let Ω be the n-polygon.
34 The idea of Kac Let Ω be the n-polygon. If x is in the interior of Ω, then for y close enough, then H(x, y, t) 1 x y 2 4πt e 4t.
35 The idea of Kac Let Ω be the n-polygon. If x is in the interior of Ω, then for y close enough, then H(x, y, t) 1 x y 2 4πt e 4t. If x is near the edge (assuming that the edge is x 2 = 0), the above computation should have a correction term by the Schwarz reflexion principle: H(x, y, t) 1 4πt ) (e x y 2 4t e x y 2 4t, x = (x 1, x 2 )
36 Thus we have H(x, x, t) = 1 4πt H(x, x, t) = 1 (1 e 4πt x 2 2 t ) if x is in the interior if x is near the boundary
37 e λ k t Ω Ω 4πt Ω 8 πt 1 4πt dx + 1 x 2 Ω ε 4πt e 2 t dx1 dx 2 as t 0.
38 A more accurate result k=1 e λ kt Ω 4πt Ω 8 πt + n i=1 π 2 α 2 i 24πα i + O(e 1/t ) t 0. This shows that the area, the perimeter, and the sum over the angles of π2 α 2 24πα are all spectral invariants.
39 Let k(x, y, t) = ( e λkt Ω 4πt Ω n 8 πt + k=1 i=1 π 2 α 2 i 24πα i ).
40 Let k(x, y, t) = ( e λkt Ω 4πt Ω n 8 πt + k=1 i=1 π 2 α 2 i 24πα i ). Conjecture (Lu) There exists a number β > 0 such that for any ε > 0 we have C(ε)e β+ε t k(x, y, t) C(ε) 1 e β ε t for a constant C(ε).
41 At the current technology, we can only make use of three equations.
42 At the current technology, we can only make use of three equations. More spectrum invariants?
43 The spectrum also determines the wave trace. Imagine a convex n-gon is a billiard table. The set of closed geodesics is precisely the set of all paths along which a billiard ball hit with a pool cue could roll, such that the ball returns to its starting point. The set of lengths of closed geodesics, which is known as the length spectrum, is related to the (Laplace) spectrum by a deep result proven by Duistermaat and Guillemin in the late 1970s.
44 The wave trace is a tempered distribution defined by e i λ k t. k=1 Duistermaat and Guillemin proved in that the singularities of the wave trace is contained in the length spectrum. Example (The wave trace of a string of length π) e ikt = 1 1 e it. k=0
45 Question Can we hear the shape of a trapezoid?
46 Question Can we hear the shape of a trapezoid? 4 dimensional moduli space!
47 Question Can we hear the shape of a trapezoid? 4 dimensional moduli space! Answer: partially yes, by L-Rowlett!
48 Theorem (L-Rowlett-2013) If two acute trapezoids have the same spectrum, then they are identical up to rigid motions of the plane.
49 Figure : An acute trapezoid
50 Lemma The length of the shortest closed geodesic of an acute trapezoid is twice the height, that is twice the distance from the base to the opposite parallel side.
51 The four equations h = h (B + b)h = 1 2 (B 1 + b 1 )h 1 l + l + B + b = l 1 + l 1 + B 1 + b 1 1 α(π α) + 1 β(π β) = 1 α 1 (π α 1 ) + 1 β 1 (π β 1 )
52 The deduction h(csc α + csc β) = l + l = L 2A/h where L is the perimeter and A is the area.
53 The deduction h(csc α + csc β) = l + l = L 2A/h where L is the perimeter and A is the area. Therefore csc α + csc β = csc α 1 + csc β 1.
54 We have { csc α + csc β = csc α1 + csc β 1 1 α(π α) + 1 β(π β) = 1 α 1 (π α 1 ) + 1 β 1 (π β 1 )
55 We have { csc α + csc β = csc α1 + csc β 1 1 α(π α) + 1 β(π β) = 1 α 1 (π α 1 ) + 1 β 1 (π β 1 ) Lemma (A Putnam-type problem) We have α = α 1, β = β 1 if α β, α 1 β 1.
56 We have { csc α + csc β = csc α1 + csc β 1 1 α(π α) + 1 β(π β) = 1 α 1 (π α 1 ) + 1 β 1 (π β 1 ) Lemma (A Putnam-type problem) We have α = α 1, β = β 1 if α β, α 1 β 1. solved by L-Rowlett, 2013
57 Theorem Let p, q be real numbers. Then the solution of the system of equations { csc(α) + csc(β) = p; (α(π α)) 1 + (β(π β)) 1 = q, if it exists, must be unique for 0 < β α π/2.
58 First, let s use the second equation to show that each α uniquely determine a β. Solving the second equation for β in terms of α and q leads to a quadratic equation in β, β 2 (1 qα(π α)) + β(π(qα(π α) 1)) α(π α) = 0. Since the trapezoid is acute, β π 2, so indeed α and q uniquely determine β = β(α) = π 2 π α(π α) 1 qα(π α).
59 We can prove the lemma if we prove that the function g(α) := csc(α) + csc(β(α)) has unique solution α for any given p. Implicit differentiation gives and so the derivative β (α) = ((α(π α)) 1 ) ((β(π β)) 1 ), g (α) = csc(α) cot(α) + csc(β(α)) cot(β(α)) ((α(π α)) 1 ) ((β(π β)) 1 ).
60 Let s see if we can relate g (α) to the following function Since f (α) := csc(α) cot(α) ((α(π α)) 1 ) = α2 (π α) 2 cos α (2α π) sin 2 α. g (α) csc(α) cot(α) csc(β(α)) cot(β(α)) ((α(π α)) 1 ) = ((α(π α)) 1 + ) ((β(π β)) 1 ), we see that g (α) = π 2α α 2 (f (α) f (β)) (π α) 2
61 It turns out that the logarithmic derivative of f is pleasantly simple f (α) f (α) = 2 π 2α + 2 α cot(α) tan(α). α π
62 It turns out that the logarithmic derivative of f is pleasantly simple f (α) f (α) = 2 π 2α + 2 α cot(α) tan(α). α π Need to prove that the above expression is negative for α (0, π/2).
63 The use of MatLab Figure : Graph of (log f )
64 Thank you!
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