Quasiperiodicity Bifurcations undergone by limit cycles before - - PowerPoint PPT Presentation
Quasiperiodicity Bifurcations undergone by limit cycles before - - PowerPoint PPT Presentation
Universit e Pierre et Marie Curie Master Sciences et Technologie (M2) Sp ecialit e : Concepts fondamentaux de la physique Parcours : Physique des Liquides et Mati` ere Molle Cours : Dynamique Non-Lin eaire Laurette TUCKERMAN
Bifurcations undergone by limit cycles
- before
after after after bifurcation pitchfork saddle-node Hopf
Continuous system Poincar´ e map Before bifurcation Limit cycle Fixed point After bifurcation Torus Circle Name of bifurcation Secondary Hopf Neimark-Sacker
- Hopf
Periodic and quasiperiodic behavior in oscillating chemical reaction model
From D. Barkley, J. Ringland & J.S. Turner, J. Chem. Phys. 87, 3812 (1987)
Circle maps
xn+1 = f(x) mod 1
Sine circle map
- V. Arnold in the 1960s (Moscow, later also Paris IX, Dauphine, died 2010):
xn+1 = fΩ,K(xn) ≡
- xn + Ω − K
2π sin(2πxn)
- mod 1
K measures nonlinearity, Ω is basic frequency.
K = 0 = ⇒ xn+1 = [xn + Ω] mod 1
Ω = p = ⇒ all x are fixed points of f Ω = p/q = ⇒ all x are members of q-cycles of f f q(x) =
- x + p
q + p q + . . . p q
- q times
- mod 1 = [x + p]mod 1 = x
Ω = 1/5 Ω = 3/5 Ω 1/5 Ω irrational = ⇒ no fixed points or q-cycles. All x are members of quasiperiodic orbits. Each orbit is dense on the circle.
K > 0: Frequency locking
xn+1 = fΩ,K(xn) ≡
- xn + Ω − K
2π sin(2πxn)
- mod 1
K = 0 K = 1
Ω = 0.2 Ω = 0.1 f(x) = x + Ω saddle-node bifurcation creates pair of fixed points
xn+1 = fΩ,K(xn) ≡
- xn + Ω − K
2π sin(2πxn)
- mod 1
Condition for bifurcation Condition for fixed point f ′(x) = 1 f(x) = x 1 − K cos(2πx) = 1 x + Ω − K 2π sin(2πx) = x + n cos(2πx) = 0 sin(2πx) = 2π K (Ω − n) x = 1 4 = ⇒ sin
- 2π1
4
- = 1 = 2π
K (Ω − n) = ⇒ K = 2πΩ x = 3 4 = ⇒ sin
- 2π3
4
- = −1 = 2π
K (Ω − 1) = ⇒ K = 2π(1 − Ω)
Saddle-node bifurcations of sine circle map create stable-unstable pairs of fixed points x = 1
4
x = 3
4
K = 0.5 Ω = K
2π = 0.08
Ω = 1 − K
2π = 0.92
First frequency-locking tongue in (Ω, K) plane
Fixed points (one-cycles) exist inside tongue, for 0 ≤ Ω < K
2π and 1 − K 2π < Ω ≤ 1
Two-cycles: fixed points of f 2(x) ≡ f(f(x))
Since f 2
(Ω=1/2,K=0)(x) = x ∀x , set Ω±(K) = 1 2 ± ǫ(K) with K, ǫ ≪ 1
f 2(x) = f(x) + Ω± −
K 2π sin(2πf(x))
= x + 1
2 ± ǫ − K 2π sin(2πx) + 1 2 ± ǫ − K 2π sin(2πf(x))
= x + 1 ± 2ǫ − K
2π sin(2πx)
−
K 2π sin(2πf(x))
− sin(2πf(x)) = − sin
- 2π
- x + 1
2 ± ǫ − K 2π sin(2πx)
- = − sin (2πx + π ± 2πǫ − K sin(2πx))
= − sin (2πx + π)
- = sin(2πx)
cos (±2πǫ − K sin(2πx))
- ≈1
− cos (2πx + π)
- = cos(2πx)
sin (±2πǫ − K sin(2πx))
- ≈±2πǫ−K sin(2πx)
≈ sin (2πx) + cos (2πx) (±2πǫ − K sin(2πx)) = sin (2πx) ± 2πǫ cos (2πx) − K
2 sin(4πx)
f 2(x) ≈ x + 1 ± 2ǫ ± ǫK
- ≪ǫ
cos(2πx) − K2
4π sin(4πx)
Fixed points of f 2(x)mod 1: x = f 2(x) mod 1 ≈ x ± 2ǫ − K2
4π sin(4πx)
ǫ ≈ ±K2
8π sin(4πx)
At saddle-node bifurcation point of f 2: 1 = d dxf 2(x) ≈ 1 − K2 cos(4πx) = ⇒ cos(4πx) = 0 = ⇒ x ≈ 1
8, 3 8, 5 8, 7 8 =
⇒ sin(4πx) = ±1 Therefore: ǫ(K) ≈ ±K2
8π
Ω±(K) =
1 2 ± ǫ(K) ≈ 1 2 ± K2 8π
Note: Period-doubling bifurcation (= pitchfork for f 2) requires K ≥ 2: f ′(x) = 1 − K cos(2πx) ≥ 1 − K
Saddle-node bifurcations of f 2 create stable-unstable pairs of 2-cycles
K = 0.8 Ω ≈ 1
2 − K2 8π ≈ 0.475
Ω ≈ 1
2 + K2 8π ≈ 0.525
x ≈ 3
8, 7 8
x ≈ 1
8, 5 8
Second frequency-locking tongue in (Ω, K) plane
Two-cycles exist inside tongue
1 2 − K2 8π Ω 1 2 + K2 8π
Three-cycles: fixed points of f 3(x)
Emerge from K = 0, Ω = 1/3 and Ω = 2/3 via saddle-nodes of f 3 Exist within Ω-intervals of width O(K3)
For any (p, q), seek Ω, K, x such that f q
Ω,K(x) = x + p
q-cycles are produced via saddle-node bifurcations of f q Exist within Ω-intervals Ip,q(K) surrounding p/q of width O(Kq) called
frequency-locking or Arnold tongues
K = 0 = ⇒
p,q Ip,q = rationals
measure
- p,q Ip,q
- = 0
K = 1 = ⇒ measure
- p,q Ip,q
- = 1
Schematic representation of frequency-locking tongues
Winding number of circle map f
W (f) ≡ lim
n→∞
f n(x0) − x0 n f n not truncated to [0, 1] Poincar´ e: f monotonic & continuous = ⇒ limit exists & independent of x0. For sine circle map: K = 0 K = 1 W = limn→∞
x0+nΩ−x0 n
= Ω Devil’s staircase continuous, diagonal line constant on set of measure one, jumps at each irrational number
The golden mean: “most irrational” number
Stays furthest away from frequency-locking tongues w0 ≡ 0 wn+1 ≡ 1 1 + wn w1 = 1 1 + 0 = 1 1 = 1 w2 = 1 1 + 1 1 + 0 = 1 1 + w1 = 1 1 + 1 = 1 2 w3 = 1 1 + 1 1 + 1 1 + 0 = 1 1 + w2 = 1 1 + 1
2
= 1
3 2
= 2 3 Golden mean: w∗ ≡ lim
n→∞ wn
Golden mean: w∗ ≡ lim
n→∞ wn
with wn+1 = 1 1 + wn w∗ = 1 1 + w∗ w∗(1 + w∗) = 1 w2
∗ + w∗ − 1 = 0
w∗ = −1 + √1 + 4 2 = √ 5 − 1 2 = 0.618 . . . (1 − w∗) : w∗ = w∗ : 1 Parthenon, plants, shells, Greeks, Renaissance, . . .
Fibonacci sequence: F0 = F1 = 1, Fn+1 = Fn + Fn−1 = ⇒ 1, 1, 2, 3, 5, 8, 13, . . . leads to equivalent definition of wn: wn+1 ≡ Fn Fn+1 = Fn Fn + Fn−1 = 1
Fn+Fn−1 Fn
= 1 1 + wn Closest rational approximation obtained by truncating continued fraction: a = a0 + 1 a1 + 1 a2 + . . . w∗ is irrational least well approximated by rational: a1 = a2 = . . . = 1 Following path in (Ω, K) space with WΩ,K = w∗ will keep furthest away from frequency-locking tongues
Taylor-Couette flow
Laminar Couette Taylor Vortex Wavy Vortex Modulated Wavy Vortex UC(r) UT V (r, z) UW V (r, θ, z, t) UMW V (r, θ, z, t)
- No frequency-locking in modulated wavy vortex flow! Why not?
Rand (1981): Symmetry! In rotating frame, wavy vortex flow is steady and modulated wavy vortex flow is periodic. Points on circle (phases in θ) dynamically equivalent = ⇒ no saddle-nodes.
Lyapunov exponents
Steady state ¯ x: eigenvalues of Jacobian matrix Limit cycle ¯ x(t mod T ): Floquet exponents Any attractor: Lyapunov exponents Let ¯ x(t) evolve according to full nonlinear system: ˙ ¯ x = f(¯ x(t)) Let ǫ(t) evolve according to linearized system: ˙ ǫ =
- Df¯
x(t)
- ǫ
Largest Lyapunov exponent: λ(1) ≡ lim
t→∞
1 t ln
- ǫ(t)
ǫ(0)
- Independent of initial condition if within same attractor
Integrate perturbed non-linear system: Initial slope is largest Lyapunov exponent Stop when trajectory reaches attractor boundary.
Winding number: average rotation per iteration Lyapunov exponent: average growth or decay per iteration Rate of growth of area: λ(1) + λ(2) Rate of growth of volume: λ(1) + λ(2) + λ(3), etc. Map: ǫ1 = f ′(¯ x0)ǫ0 ǫn =
n−1
- k=0
f ′(¯ xk)ǫ0 λ = lim
n→∞
1 n ln
- n−1
- k=0
f ′(¯ xk)
- = lim
n→∞
1 n
n−1
- k=0
ln |f ′(¯ xk)| Chaotic attractors: nearby initial conditions eventually diverge = ⇒ at least one Lyapunov exponent is positive One of the definitions of chaos
Wrinkling of a torus
When K > 1, sine circle map becomes non-invertible = ⇒ it cannot be the Poincar´ e mapping of a flow = ⇒ it can become chaotic (an invertible map cannot become chaotic) Attractor can no longer be mapped onto a circle and may become wrinkled
(a) Torus (quasiperiodic) (b) Frequency locking (1:49) (c) Bands on wrinkled torus (d) Wrinkled torus (e) Frequency locking (1:48) (c) Wrinkled torus From D. Barkley, J. Ringland & J.S. Turner, J. Chem. Phys. 87, 3812 (1987).
Route to chaos from a torus
< 1970s Landau: Hopf1 (Ω1), Hopf2 (Ω2), Hopf3 (Ω3), . . . = ⇒ Turbulence ≈ 1980s Lorenz, May, Feigenbaum, etc.: Small number (3) of ODEs can display chaos Ruelle & Takens (1971); Newhouse, Ruelle & Takens (1978): Theorem concerning quasiperiodic motion (motion on torus) of dimension n ≥ 3. Perturbations can lead to chaos: “Let v be a constant vector field on the torus T n = Rn/Zn. If n ≥ 3, every C2 neighborhood of v contains a vector field v′ with a strange Axiom A attractor. If n ≥ 4, we may take C∞ instead of C2.”
Curry & Yorke (1978); Grebogi, Ott & Yorke (1985): Numerical investiga- tion of probability of random perturbations leading to chaos Flow Poincar´ e map two-torus circle map three-torus pair of coupled circle maps θn+1 = θn + ω1 + KP1(θn, φn) mod 1 φn+1 = φn + ω2 + KP2(θn, φn) mod 1 Solutions: quasiperiodic with three frequencies, quasiperiodic with two frequencies, periodic, or chaotic. Map is non-invertible for K ≥ Kc. Attractor Lyapunov exp
K Kc = 3 8 K Kc = 3 4 K Kc = 9 8