Nonlinear oscillations

guillefix 4th November 2016 at 2:43pm

Can analyze using Perturbation methods. In particular:

  • Poincaré- Lindstedt method. Letting dependent variable xx depend on the independent variable tt via terms of all orders i.e. tt, ϵt\epsilon t, ϵ2t\epsilon^2 t, etc. However, these term are forced to only appear together, with the form: t+ϵω1t+ϵ2ω2t+...t+ \epsilon \omega_1 t + \epsilon^2 \omega_2 t +.... That is, we just expand the frequency as a perturbation series. A consequence is that constants of integration are not allowed to depend on tt at any order.
  • Method of Multiple Scales. We allow dependent variable xx depend on the independent variable tt via terms of all orders i.e. tt, ϵt\epsilon t, ϵ2t\epsilon^2 t, etc., without any constraint. A consequence is that we can treat these as independent variables, or scales. "Constants" of integration can now depend on them (i.e. on the slower scales than the scale corresponding to the order considered)
  • Krylov-Bogoliubov Method of Averaging. Assumes that solution, x(t)x(t) has the form that it has when ϵ=0\epsilon=0 but the constants of integration can now change with time. As we have two arbitrary time-dependent functions (in the case of a second order ode), we are clearly underdetermining the problem. Therefore Krylov and Bogoliubov added the constraint that the time derivative of x(t)x(t), i.e. x˙(t)\dot{x}(t), also hase the same form as when ϵ=0\epsilon=0 with the same constants of integration upgraded to the same time-dependent functions.

For example (for the method of averaging), if x(t)=acos(t+θ)x(t)=a \cos{(t+\theta)} is the ϵ=0\epsilon=0 solution, then we require:

  • x(t)=a(t)cos(t+θ(t))x(t)=a(t) \cos{(t+\theta(t))}, and
  • x˙(t)=a(t)sin(t+θ(t))\dot{x}(t)=-a(t) \sin{(t+\theta(t))}

Duffing oscillator

Van der Pol oscillator. Paper about it's periodic solutions Apply method of multiple scales.

Relaxation oscillations and transition layers

As an example consider the van der Pol eq. with the nonlinear term very large (Λ1\Lambda \gg1), instead of very small.

We introduce a variable yy s.t. eq. becomes y=xy'=-x. One also shows that xx evolves to a state of quasi-equilibrium (very quickly on time scale 1/Λ21/\Lambda^2) given by a curve on y-x plane. Then it moves along that curve, and one finds that the system must do jumps that are also very fast (on time scale 1/Λ21/\Lambda^2 again) periodically. See plot... Well... I'm ommiting many details. See starting from page 11 on notes

Synchronization and coupled oscillators

Kuramoto model


Lecture notes on nonlinear vibrations

Books:

Nayfeh

Hayashi