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Geometric Characterization
of Nodal Patterns and
Domains
Y. Elon, S. Gnutzman, C. Joas U. Smilansky
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Introduction
• 2002 – Blum, Gnutzman and Smilansky: a “Chaotic billiards can be discerned by counting nodal domains.”
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0 jjE
0 Vj
• Research goal – Characterizing billiards by investigating geometrical features of the nodal domains:
• Helmholtz equation on 2d surface (Dirichlet Boundary conditions):
- the total number of nodal domains of . j j
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Consider the dimensionless parameter:
jij
ijij E
lA
j
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Consider the dimensionless parameter:
jij
ijij E
lA
j
i
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• For an energy interval: , define a distribution function:
IEj i
ijjI
Ij
j
NP
1
11
gEEEI ,
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• Is there a limiting distribution?
PgEIPE
?
),(,lim
• What can we tell about the distribution?
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Rectangle
ynxmNny
Mmx
mn~sin~sinsinsin~
yx
imn
yx
imn
EEmnl
EEmnA
112~1
~12
~~1
)(
2)(
yxmn EEmnE 222 ~~xx
imn ZZmn
mn
1
12~~
~~
2
22)(
EEEEmnmn
yx
imn
1
2~~~~
2
22)(
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Rectangle
IEmnI
Imn
mnmn
NP
|~,~
22
~~~~
21
II
dndmdndmmnmn~~~~
2
22
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Rectangle
otherwise
PI222
0
84
22
P
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Rectangle
222
ddP 1~22
lim0
1. Compact support:
2. Continuous and differentiable
3.
4.
ddP 20
82
lim
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Rectangle
mnymnx
imn EEEE
12
)(
• the geometry of the wave function is determined by the energy partition between the two degrees of freedom.
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Rectangle
222 ~~ mnEE classmn
quantmn
• can be determined by the classical trajectory alone.
mn
dypm
dxpn
ycl
xcl
21
21
Action-angle variables:
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Disc
•
• the nodal lines were estimated using SC method, neglecting terms of order .E1
2)(
)()sin(n
mmn
nmmmn
jE
rjJm
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)(
0222
222
)(
0222
222
22
2
1
)tan()21(1)2sin(
84
84
)tan()21(1)2sin(
84
84
8
2)(
C
C
CCdCC
CCdCC
P
n’=1
n’=4
n’=3
n’=2
22)'(
2
'
)'(
arctan1'
)'2sin(11
2
mjmC
C
nm
mn
nmn
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Rectangle Disc
Same universal features for the two surfaces:
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Disc
222
ddP 1~22
lim0
1. Compact support:
2. Continuous and differentiable
3.
4.
ddP 20
42
lim
n=1m=o
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Surfaces of revolution• Simple surfaces of revolution were investigated (Smooth everywhere, single maxima of the profile curve).
• Same approximations were taken as for the Disc.
mxmnmn sin
xf
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Surfaces of revolution• Simple surfaces of revolution were investigated (Smooth everywhere, single maxima of the profile curve).
• Same approximations were taken as for the Disc.
mxmnmn sin
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2
'2
')'(
2 mxfEm
xfE
nmn
nmnnmn
2,122
2222
2,122
2222
2222
2
2
1
8
84
8
84
84
8)(
i z
i z
i
i
dzzG
dzzG
MP
n’=1
n’=2
n’=3
n’=4
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• For the Disc:clcl
rclmn EE
rmrE
2
22
21
• For a surface of revolution:
clcl
xclmn EE
xfmxxfE
2
222'1
21
2
2
2rmrE qm
rEErE qmmn
qmr
xfmxE qm2
2
2 xEExE qm
mnqmx
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mnmnrnm ~~~~
2
22Rect
Following those notations:
)'2sin(1
12
Disc
Crmn
2
'2
'SOR
2 mxfEm
xfEr
nmn
nmnmn
mnmn ErEErE
21
12
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“Classical Calculation”:
0rnm
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“Classical Calculation”:
nmT1. Look at
(Classical
Trajectory)
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“Classical Calculation”:
0rr
2. Find a point along the trajectory for which:
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“Classical Calculation”:
mnmn
r
EE
EE ,
3. Calculate
mnmnr
mn EEEEr
1
20
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Separable surfaces
rmn2. can be deduced (in the SC limit)
knowing the classical trajectory solely.
1. In the SC limit, has a smooth limiting distribution with the universal characteristics: - Same compact support:- diverge like at the lower support- go to finite positive value at the upper support
IP
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Random waves
rJmbmar m
N
mmm
0sincos
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Random waves
Two properties of the Nodal Domains were investigated:
1.Geometrical:
2. Topological: genus – or: how many holes?
P
G=0 G=
2
G=1
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Random waves
22
2
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Random waves
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Random waves
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Random waves
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Random waves
2
)1(0j
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Random waves
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Random waves
2
)1(0j
Model: ellipses with equally distributed eccentricity and area in the interval: 19,
2)1(0j
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2
212
2
2
min
2
offcut
avg
knl
knA
kd
Random waves
d
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Genus
76.4~# c46.4~# c
3.4~# c
262.4~# c
The genus distributes as a power law!
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Genus
In order to find a limiting power law – check it on the sphere
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Genus
Power law?
Saturation?
?~~# 2gg
AA ~~#Fisher’s exp:
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Random waves
1. The distribution function has different features for separable billiards and for random waves.
2. The topological structure (i.e. genus distribution) shows complicate behavior – decays (at most) as a power-low.
P
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Open questions:
• Connection between classical Trajectories and .
• Analytic derivation of for random waves.
• Statistical derivation of the genus distribution
• Chaotic billiards.
P