Linear stability


In mathematics, in the theory of differential equations and dynamical systems, a particular stationary or quasistationary solution to a nonlinear system is called linearly unstable if the linearization of the equation at this solution has the form, where A is a linear operator whose spectrum contains eigenvalues with positive real part. If all the eigenvalues have negative real part, then the solution is called linearly stable. Other names for linear stability include exponential stability or stability in terms of first approximation. If there exist an eigenvalue with zero real part then the question about stability cannot be solved on the basis of the first approximation and we approach the so-called "centre and focus problem".

Example 1: ODE

The differential equation
has two stationary solutions: x = 0 and x = 1.
The linearization at x = 0 has the form
. The linearized operator is A0 = 1. The only eigenvalue is. The solutions to this equation grow exponentially;
the stationary point x = 0 is linearly unstable.
To derive the linearization at x = 1, one writes
, where r = x − 1. The linearized equation is then ; the linearized operator is A1 = −1, the only eigenvalue is, hence this stationary point is linearly stable.

Example 2: NLS

The nonlinear Schrödinger equation
has solitary wave solutions of the form
To derive the linearization at a solitary wave, one considers the solution in the form
. The linearized equation on
is given by
where
with
and
the differential operators.
According to Vakhitov–Kolokolov stability criterion
when k > 2, the spectrum of A has positive point eigenvalues, so that the linearized equation is linearly unstable; for 0 < k ≤ 2, the spectrum of A is purely imaginary, so that the corresponding solitary waves are linearly stable.
It should be mentioned that linear stability does not automatically imply stability;
in particular, when k = 2, the solitary waves are unstable. On the other hand, for 0 < k < 2, the solitary waves are not only linearly stable but also orbitally stable.