renormalization group in the absence of linear restoring force€¦ · facts of the case 4 recast...
TRANSCRIPT
Pizza Seminar 07-11-2014
by Amartya Sarkar
AN OSCILLATOR’S SLOW MARCH TO DEATH
Background 2
Types of periodic solutions – Limit Cycles and Centres
2 1 4 3(2 3) 0n nx n x x x Limit Cycles - Isolated closed, initial-condition-independent trajectory in phase space.
Strictly nonlinear phenomenon.
Self-sustaining oscillations
e.g. Van der Pol oscillator, glycolytic oscillator
Centres - Family of initial-condition-dependent periodic orbits.
Non-hyperbolic fixed points.
e.g. Lotka –Volterra, Duffing
Special type – Isochronous oscillators
History 3
Generalized Riccati Equation a.k.a Emden Equation a.k.a. Liénard type equation
33 0x xx x
2
2 1 0.ndx x
dt
n=0 :
Otherwise :
Scalar field equation in 1-D φ4 field theory
Model for pellet fusion process. Ervin et al.
An equation governing spherically symmetric expansion or collapse of relativistically gravitating mass. McVittie et al.
1-D analogue of the Yang-Mill’s boson ‘gauge theory’
2 1 4 3(2 3) 0n nx n x x x
Facts of the Case
4
Recast as an classical mechanical problem of a particle moving in a 1-D potential :
(1)
Interested in the behavior of the solution of (1) with varying values of α.
n=0, α = 3.0. Equation is linearizable, possesses 8 symmetries and is completely integrable. And the solution is aperiodic.
n=0, α = 0.1, the solution turns out to be periodic. Numerical observation. Similar behavior for higher values of n.
2 1 4 3 0n nx x x x
The Big Question?
5
Why and how does the periodic solution
vanish?
Investigation
Jacobi’s last multiplier.
Renormalization Group
technique.
Scaling behavior study.
Hidden symmetry
reduction.
Runge-Kutta 4th order to analyze phase trajectories for varying n and α.
Finding the critical αc where periodic solution vanishes.
Data collapse.
6
Analytic techniques Numerical studies
Investigation
Jacobi’s last multiplier.
Renormalization Group
technique.
Scaling behavior study.
Hidden symmetry
reduction.
Runge-Kutta 4th order to analyze phase trajectories for varying n and α.
Finding the critical αc where periodic solution vanishes.
Data collapse.
7
Analytic techniques Numerical studies
Renormalization group approach
8
The initial condition can be
placed anywhere on the phase
path.
Split time interval t – t0 as t –
τ + τ – t0 .
Absorb τ – t0 containing terms
into renormalized A and θ.
x(t) has to be independent of τ
gives rise to flow equations.
Flow equations can be used to
get perturbative solutions to
oscillators.
2 ( , )x x F x x
*Chen, Goldenfeld and Oono, PRL 73,
1311 (1994)
Observations
9
Bilagrangian structure and hence associated
Hamiltonian one, when α = 2n +3 .
For every possible n there is a critical αc beyond
which periodic behavior ceases to exist.
As α approaches the critical value, the time period,
‘T’ diverges. RG suggests :
Bottleneck at origin. Periodic orbit has 2 widely
separated time scales.
0.5
.cT
CLUEs
10
The periodic orbits are dependent on initial
conditions. Yet the critical value αc is independent of
initial conditions.
The trajectories for different “initial conditions” can
be collapsed onto a single universal orbit.
Omnipresence of the number ‘2n+2’ in various
analytical expressions for the system.
The numerically determined critical value ‘αc’ for
different ‘n’ suspiciously close to 2(2n+2)1/2 .
Clinching Evidence 11
(a) Periodic orbits corresponding to various initial conditions xi = C and yi = 0. (b) All the data points have collapsed onto a single orbit as x
and y are respectively scaled as x/C and y/C4 .
A Different Angle
12
Use “Hidden Symmetry Reduction” and recast Eqn (1) into a different
form via two consecutive transformations.
1st one - a generalization of Riccati transformation increasing the
order of the differential equation.
2nd one - decreasing back the order of the differential equation.
In the new co-ordinates ask the question: what is the critical value for
the parameter ?
The answer : αc =2(2n+2)1/2 .
* A. Sarkar, P. Guha, A. Ghose-Choudhury, J. K. Bhattacharjee, A. K. Mallik and P. G. L. Leach, “On
the properties of a variant of the Riccati system of equations”, Jour. Phys. A: Math. Theor. 45 (41),
415101. (2012)
Reconstructing Events
31-01-2012 BOSEFEST 2012
13
As a dynamical system:
Equation for the trajectory:
Scaling form:
x → x/γ and y → y/γ4
Keeps the trajectory invariant.
2 1 4 3n n
x v
v vx x
4 32 1
nndv x
xdx v
Figure showing a typical trajectory and the isoclines : x = 0 and αv = -x2n+2 .
EPILOGUE 14
RG flow equations reveal a curious fact.
Add a linear term to Eqn (1) → Both amplitude and
phase flows become null, suggesting we have an
‘Isochronous Oscillator’.
Numerical tests confirm that the above system executes
‘amplitude’- independent oscillations at frequency ω, for
even very large values of n.
2 1 4 3 2(2 3) 0n nx n x x x x
Linear term
J. K. Bhattacharjee
Partha Guha
Anindya Ghose-Chowdhury
A. K. Mallik
Acknowledgements