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Defect Formation in Convective Patterns as seen from the Regularized CrossNewell Phase Diffusion Equ

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Title: Defect Formation in Convective Patterns as seen from the Regularized CrossNewell Phase Diffusion Equ


1
 Defect Formation in Convective Patterns as seen
from the Regularized Cross-Newell Phase Diffusion
Equation
  • R. Indik, A.C. Newell, S. Venkataramani (Arizona)
  • T. Passot (Nice)
  • M. Taylor (UNC Chapel Hill)
  • The Geometry of the Phase Diffusion Equation,
  • J. Nonlinear Sci. 10, 223-274 (2000)
  • Global Description of Patterns Far From Onset A
    Case Study
  • PhysicaD 184, 127-140 (2003)

2
Patterns far from threshold
  • In an isotropic stripe pattern-forming system,
    the direction of the wavevector is not chosen.
    Such structures can then be described by noting
    that the pattern locally consists of patches with
    a preferred wavevector k. One can then let k vary
    slowly in space and time
  • Experiment From Y.-C. Hu, R. Ecke, G. Ahlers,
    Phys. Rev. E 51, 3263 (1995). See also
  • http//tweedledee.ucsb.edu/guenter/picturepage2.h
    tml

3
Convex Disclination
Pr 1.4 v.d.t.2s
courtesy of Eberhard Bodenschatz
4
Concave Disclination
Aspect ratio 30 Pr 0.32
Courtesy of G. Ahlers, U.C. Santa
Barbara http//tweedledee.ucsb.edu/guenter/pictur
epage5.html
5
Twist
6
Outline
I. Without Twist A. Motivation B.
Swift-Hohenberg Model C. Cross-Newell
Equation D. Regularization E. Results
F. Self-Duality II. With Twist A. Director
Fields B. Energetics C. Comparisons
(Numerical and Experimental) D. Rigorous
Scaling for Extended CN system
7
Swift-Hohenberg
Swift-Hohenberg Eqn ut - (kcD)2 u m u
u3 SH Energy Density - ½ ((kcD) u)2 ½ m
u2 ¼ u4 Family of Exact Stationary Solutions
u0(x) a1(k) cos(q)
a2(k)cos(2q)

k

u0 const.
2p/k
8
Modulational Ansatz

9
Cross Newell Equation
  • Slowly Varying Rolls ?
    Modulational Ansatz
  • u ue (Q/e) Q Q (X,Y,T) ? Q k(X,Y,T)
    k k
  • Q e q X e x Y
    e y T e2 t
  • t(k2) ?Q? ? T - ?(k B(k2))
  • M.C. Cross A.C. Newell, Convection
    patterns large aspect ratio systems,

  • Physica 10 D, 299-328 (1984)

10
Cross-Newell Energy Densityt(k2) ?Q? ? T -
?(k B(k2))
t(k2)
(kc kB 1)
kB(k2)
11
Hodograph Solutions
12
Hodograph Swallowtail
13
Regularized Cross-Newell Eqn

t(k2) QT - ?? (k B(k2) e2 D k)
QT k1 - ? ? (2 ?Q (1 ?Q2) ) - e2
D D Q) RCN Energy Fe (Q) e(DQ)2
1/e (1-?Q2)2 dX dY
14
Regularized CN Disclinations
C. Bowman
15
Analytical Results
  • Fe (Q) ? e(DQ)2 1/e
    (1-?Q2)2 dX dY
  • As e ? 0, minimizers Qe ? Q0 in H1(W) where Q0
    solves
  • the eikonal equation ?Q0 1. Defects
    are, therefore,
  • supported on locally 1-dimensional sets. An
    example of an
  • eikonal solution on a domain W Q0 (x)
    dist (x , ? W ).
  • (2) There is a natural conjecture that the
    asymptotic value of
  • the minimal energy (ground state energy)
    a jump energy
  • supported on the defect locus S
  • lim infe? 0 1/3
    ?Q03 ds
  • where ?Q0 jump in k0 across S.

16
Eikonal Viscosity Solutions
q
q
N32
N32
17
(3) The conjecture can be completely verified in
the class of examples where S is a
straight line segment. In this same class
the asymptotic energy is supported only on the
1-dimensional eikonal defects. Lower
dimensional singularities carry no energy.
Ambrosio, DeLellis, Mantegazza DeSimone,
Kohn, Müller, Otto Ercolani, Taylor
18
Analytical Difficulties of RCN 1) 4th order
(QT - ? ? (2 ?Q (1 ?Q2) ) - e2 D D Q) 2)
Hausdorff dim of defects is gt 0 (not point
defects) Self-Dual Eqn e(DQ) ?(1-?Q2) 1)
Motivated by equi-partition of energy
? e(DQ)2 1/e (1-?Q2)2 2) If the Gaussian
curvature of the graph of QSD vanishes,
then QSD solves RCN 3) In the e-gt 0 limit, the
curvature of QSD concentrates in points.

19
Helmholtz Linearization
  • The substitution Q ? e ln Y reduces
  • e(DQ) ? (1-?Q2) 0
  • to the linear Helmholtz eqn
  • e2DY - Y 0

20
Knees to Chevrons
21
Self-Dual Test Functions
Thm Suppose ve solves e (D ve)(1-? ve 2) 0
on W with ve q on the boundary of W where
q(x) - q(y) ? a dist(x,y) with a lt 1. Then as
e ? 0, ve converges uniformly on the closure of
W to the unique viscosity solution of ? v 2
- 1 0 on W with v q on W.

22
Steepest Descent
These conditions are equivalent to k satisfying
the jump conditions for a weak solution of
stationary CN.
23
Outline
I. Without Twist A. Motivation B.
Swift-Hohenberg Model C. Cross-Newell
Equation D. Regularization E. Results
F. Self-Duality II. With Twist A. Director
Fields B. Energetics C. Comparisons
(Numerical and Experimental) D. Rigorous
Scaling for Extended CN system
24
Boussinesq Simulation
courtesy of Mark Paul
b/a 1.9 e 0.850
25
Swift-Hohenberg Equation
26
Swift-Hohenberg equation
q
q
N32
N32
m 0.5, b/a 1.9 e 0.850
27
Stadium
28
Double Cover
29
Comparison of knee solution to concave-convex
disclination pair
8/3 sin3(a) 8/3 (1 -
sin (a))
Energy cost per unit length of GB
30
Phase Topology
  • u(?) cos(?)
  • k ?? (f,g)
  • Target Space Identifications
  • ? ? ? 2n?
  • (?,f,g) ? (-?,-f,-g)
  • Quotient map has critical points at ? n?
  • i.e., d? f dx g dy behaves like a quadratic
    differential

31
Knee-to-Disclination Pair Transition
Triangle curvature center Diamond
critical transition
32
Comparison to Energy Density
33
Fluid Experiment
b/a 1.5
Courtesy of G. Ahlers and W. Meevasana U.C.S.B.
34
Comparison with Experiments
35
Comparison with Other Simulations
Swift-Hohenberg simulation
Boussinesq simulation
36
Swift-Hohenberg Zippers
37
Cross-Newell Zippers
  • cos(?(x,y)) is even in y and smooth in (x,y)
  • ?(x,y) is an even function of y ? ?y (x,0)
    0
  • or, ?(x,y) is an odd function of y modulo ?
  • ?x ? cos(?) as y ? ?
  • Shift-periodic symmetry in x
  • ?(xl ,y) ?(x,y) ? where l
    ??cos(?)

38
Boundary Conditions
  • ?(x,0) 0 for 0 ? x ? a
  • ?y(x,0) 0 for a ? x ? l
  • ?(xl ,y) ?(x,y) ?
  • ? ? xcos(?) ysin(?) ?
  • as y ? ?
  • Domain is S? (boxed strip)
  • ? cos(?)

39
Total Energy as a Function of Disclination
Separation
40
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46
Energy of the Minimizer
47
Separation between the Concave and Convex
Disclinations
48
Asymptotic Phase Shift of the Minimizer
49
Rigorous Scaling Law for Energy Minimizers
  • Natural small parameter here is ? cos(?)

50
Rigorous Scaling Law for Energy Minimizers
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