Trapping, Tangles, and Transport Jeffrey B. Weiss University of - - PowerPoint PPT Presentation

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Trapping, Tangles, and Transport Jeffrey B. Weiss University of - - PowerPoint PPT Presentation

Trapping, Tangles, and Transport Jeffrey B. Weiss University of Colorado, Boulder transport and Hamiltonian mechanics periodic perturbations: traditional Hamiltonian chaos last ten years: aperiodic flows generalization:


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SLIDE 1

Trapping, Tangles, and Transport

  • transport and Hamiltonian mechanics
  • periodic perturbations: traditional Hamiltonian chaos
  • last ten years: aperiodic flows
  • generalization: similar behavior
  • qualitative vs. quantitative

Jeffrey B. Weiss University of Colorado, Boulder

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SLIDE 2

Geophysical Flows

  • strong environmental influences:
  • rotation: Rossby number Ro = U/fL << 1
  • stratification: Froude number F = U/NH << 1
  • leads to anisotropy
  • small vertical velocity w << u, v
  • asymptotic limit is quasigeostrophy
  • inverse turbulent cascade gives coherent structures
  • vortices
  • jets
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SLIDE 3

Pictures of Coherent Structures

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SLIDE 4

2d advection and Hamiltonian dynamics

  • advection in 2d and 3d qg is 2d and incompressible
  • flow described by Eulerian streamfunction ψ(x,y,z,t)
  • passive tracers move with fluid velocity (diffusion = 0)
  • Lagrangian tracer position (x,y)
  • same as Hamilton’s equations of motion
  • (u, v, ψ) (q, p, H)
  • physical space equals phase space
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SLIDE 5
  • meandering jet or

large amplitude wave

structures have closed streamlines

  • isolated vortex

(Bower, 1991) (Dewar and Flierl, 1985)

  • steady flows
  • comoving frame
  • stagnation point = fixed point
  • separatrix divides flow regions
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SLIDE 6

Integrable Hamiltonians

  • H(x,y) independent of time, autonomous, steady flow
  • along trajectories, dH/dt = 0, dψ/dt = 0
  • H(x(t),y(t)) = H(x(0),y(0)) = E
  • y(t) = f(x(t),E)
  • equations of motion
  • integrate
  • invert
  • flow is integrable
  • trajectories are circles (topologically), invariant torii
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SLIDE 7

Non-integrable Hamiltonians

  • what happens when an integrable system is perturbed?
  • time dependence typically destroys integrability
  • historically, arises from planetary motion, Earth, Sun, and Jupiter
  • simplest case: perturbation is periodic in time
  • well understood
  • torii described by their frequency of rotation relative to perturbation
  • three aspects
  • KAM
  • which invariant torii remain
  • Poincare-Birkhoff
  • fractal structure
  • tangles
  • chaos
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SLIDE 8

KAM Theory

  • naive perturbation theory gives terms ~
  • problem of “small divisors”
  • KAM says irrational torii remain
  • as perturbation grows, less irrational torii are destroyed
  • degree of irrationality based on continued fraction expansion
  • trajectories cannot cross preserved torii
  • would violate uniqueness of solutions
  • torii are barriers to transport
  • KAM for aperiodic perturbations?

ω

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SLIDE 9

Poincare-Birkhof

  • KAM says irrational torii preserved, what about rational ones?
  • stroboscopic map at period of perturbation
  • go into frame rotating with torus
  • deduce that there is an infinte hierarchy of stable and unstable

periodic points

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SLIDE 10

Tangle

  • expect perturbation to break separatrices of unstable fixed

points

  • typically the manifolds intersect each other
  • intersect once implies intersect infinite number of times
  • cannot self-intersect
  • area between intersections constant
  • result, called a tangle, is the backbone of chaos
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SLIDE 11

It may be futile to even try to represent the figure formed by these two curves and their infinite intersections, each of which corresponds to a doubly asymptotic solution [to the equations of motion]. The intersections form a kind of trellis, a tissue, an infinitely tight lattice; each of the curves must never self- intersect, but it must fold itself in a very complex way, so as to return and cut the lattice an infinite number of times. The complexity of this figure is so astonishing that I cannot even attempt to draw it. Nothing is more appropriate to give us an idea of the complexity of the three-body problem and in general

  • f all the problems in Dynamics where there is no uniform

integral.

  • Poincare, 1899
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SLIDE 12

Cantori

  • as perturbation grows, less irrational tori are destroyed
  • they dissolve by developing a fractal Cantor set of holes

result called a Cantorus

  • preserved tori are barriers to transport
  • Cantori are leaky barriers, and can leak very slowly
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SLIDE 13

standard map

  • Illustrate Hamiltonian chaos with standard map
  • Program by Jim Meiss
  • http://amath.colorado.edu/faculty/jdm/stdmap.html
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SLIDE 14

trapping and flights

  • separatrix between qualitatively different fluid regions becomes

chaotic region

  • chaotic trajectories alternately behave like each of the regions
  • Episodes of trapping and flights

(Weiss and Knobloch, 1989) (Solomon, et al, 1993)

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SLIDE 15

Long episodes lead to anomalous diffusion

  • Probability of episodes decays algebraically
  • standard diffusion
  • anomalous diffusion
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SLIDE 16

Finite-time manifolds

  • For flows with aperiodic time dependence, structures don’t live

forever

  • Fixed points and their manfolds come and go via bifurcations
  • Finite-time invariant manifolds similar to periodic case

(Haller and Poje, 1998; Poje and Haller, 1999)

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SLIDE 17

Manifolds in the Gulf of Mexico

(Kuznetsov, et al, 2002)

  • Used to analyze Lagrangian transport
  • need Eulerian and Lagrangian data
  • not predictive
  • perhaps a good summary of large datasets
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SLIDE 18

Manifolds and Vortex Merger

  • 2d vortices merge when closer than some critical distance
  • critical distance is when manifolds enter the vortex
  • causes mixing of vorticity of two vortices

(Velasco Fuentes, 2001)

  • compare with statistical mechanics
  • mixing causes merger, but says nothing about when mixing occurs

no merger merger

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SLIDE 19

Merger experiment

(Velasco Fuentes, 2001)

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SLIDE 20

Trapping by Vortices

(Weiss, et al, 1998)

  • model 2d turbulence as collection of point vortices
  • point vortices are a chaotic Hamiltonian system
  • H has chaotic time dependence due to motion of vortices
  • vortices trap other vortices and passive particles

nearest neighbor distance nearest neighbor identity

speed

time time

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SLIDE 21

Trapping Mechanism

  • Warning: rampant speculation
  • two possibilities
  • 1. Cantori as in periodic perturbation
  • 2. boundary of regular region around vortex moves to envelope

particle

  • trapping and release when no close vortices probably similar to

Cantori

  • during vortex close approach, boundary of chaos changes

significantly

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SLIDE 22

Model as stochastic process

  • model transport as random jumps between regions with

qualitatively different behavior, Markov partitions

(Meiss and Ott, 1985)

  • algebraic trapping distributions, Levy processes, lead to

anomalous diffusion

  • meandering jet example, works for some mixing properties

(Cencini, et al, 1999)

  • could include in a pde by using fractional derivatives

(del Castillo-Negrete, et al, 2003)

  • difficult, lots of technical details
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SLIDE 23

Summary

  • transport in 2d incompressible and 3d QG fluids is equivalent to
  • ne degree-of-freedom Hamiltonian dynamics
  • coherent structures can be defined by manifolds
  • qualitatively similar behavior for complex and periodic time-

dependence

  • turbulent background is a tangle of manifolds
  • Overall: phase space structures give generic and qualitative

description of transport.