Floquet theory

Floquet theory

Floquet theory is a branch of the theory of ordinary differential equations relating to the class of solutions to linear differential equations of the form,

:dot{x} = A(t) x,,

with displaystyle A(t) a continuous periodic function with period T.

The main theorem of Floquet theory, Floquet's theorem (named after Gaston Floquet), gives a canonical form for each fundamental matrix solution of this common linear system. It gives a coordinate change displaystyle y=Q^{-1}(t)x with displaystyle Q(t+2T)=Q(t) that transforms the periodic system to a traditional linear system with constant, real coefficients.

In solid-state physics, the analogous result (generalized to three dimensions) is known as Bloch's theorem.

Note that the solutions of the linear differential equation form a vector space. A Matrix phi(t) is called a fundamental matrix solution if all columns are linearly independent solutions. It is called a principal fundamental matrix at t_0 if phi(t_0) is the identity. Because of existence and uniqueness of the solutions there is a principal fundamental matrix Phi(t_0)=phi(t)phi^{-1}(t_0) for each t_0. The solution of the linear differential equation with the initial condition x(0)=x_0 is x(t)=phi(t)phi^{-1}(0)x_0 where phi(t) is any fundamental matrix solution.

Floquet's theorem

If phi (t) is a fundamental matrix solution of the periodic system dot{x}= A(t) x, with A(t) a periodic function with period T then, for all t in mathbb{R},

: phi(t+T)=phi(t) phi^{-1}(0) phi (T).

In addition, for each matrix B (possibly complex) such that:

:e^{TB}=phi^{-1}(0) phi (T),

there is a periodic (period T) matrix function t o P(t) such that

:phi (t) = P(t)e^{tB} for all t in mathbb{R}.

Also, there is a "real" matrix R and a real periodic (period 2T) matrix function t o Q(t) such that

:phi (t) = Q(t)e^{tR} for all t in mathbb{R}.

Consequences and applications

This mapping phi (t) = Q(t)e^{tR} gives rise to a time-dependent change of coordinates ( y = Q^{-1}(t) x), under which our original system becomes a linear system with real constant coefficients dot{y} = R y. Since Q(t) is continuous and periodic it must be bounded. Thus the stability of the zero solution for y(t) and x(t) is determined by the eigenvalues of R.

The representation phi (t) = P(t)e^{tB} is called a "Floquet normal form" for the fundamental matrix phi (t).

The eigenvalues of e^{TB} are called the characteristic multipliers of the system. They are also the eigenvalues of the (linear) Poincaré maps x(t) o x(t+T). A Floquet exponent (sometimes called a characteristic exponent), is a complex mu such that e^{mu T} is a characteristic multiplier of the system. Notice that Floquet exponents are not unique, since e^{(mu + frac{2 pi i k}{T})T}=e^{mu T}, where k is an integer. The real parts of the Floquet exponents are called Lyapunov exponents. The zero solution is asymptotically stable if all Lyapunov exponents are negative, Lyapunov stable if the Lyapunov exponents are nonpositive and unstable otherwise.

* Floquet theory is very important for the study of dynamical systems.
* Floquet theory shows stability in Hill's equation (introduced by George William Hill) approximating the motion of the moon as a harmonic oscillator in a periodic gravitational field.

Floquet's theorem applied to Mathieu equation

Mathieu's equation is related to the wave equation for the elliptic cylinder.

Given a in mathbb{R}, q in mathbb{C}, the Mathieu equation is given by

: frac {d^2 y} {dw^2} +(a-2q cos 2w )y=0.

The Mathieu equation is a linear second-order differential equation with periodic coefficients.

One of the most powerful results of Mathieu's functions is the Floquet's Theorem [1, 2] . It states that periodic solutions of Mathieu equation for any pair ("a", "q") can be expressed in the form

: y(w)=F_{ u}(w)=e^{jw u} P(w) or

: y(w)=F_{ u}(-w)=e^{-jw u} P(-w),

where u is a constant depending on "a" and "q" and "P"(.) is pi -periodic in "w".

The constant u is called the "characteristic exponent".

If u is an integer, then F_{ u}(w) and F_{ u}(-w) are linear dependent solutions. Furthermore,

y(w+k pi) =e^{j u k pi}y(w) or y(w+k pi) =e^{-j u k pi}y(w) , for the solution F_{ u}(w) or F_{ u}(-w), respectively.

We assume that the pair ("a", "q") is such that | cosh j u pi | <1 so that the solution y(w) is bounded on the real axis. General solution of Mathieu's equation (q in mathbb{R}, u non-integer) is the form

: y(w) =c_1e^{j w u}P(w)+ c_2e^{-j w u}P(-w),

where c_1 and c_2 are arbitrary constants.

All bounded solutions --those of fractional as well as integral order-- are described by an infinite series of harmonic oscillations whose amplitudes decrease with increasing frequency.

Another very important property of Mathieu's functions is the orthogonality [3] :

If a( u +2p,q) and a( u +2s,q) are simple roots of cos {pi u} – y(pi) = 0, then:

: int_0^{pi} F_{ u+2p} (w).F_{ u+2s}(-w) dw=0, p e s, i.e.,

langle F_{ u +2p} (w),F_{ u +2s} (w) angle, p e s, where <.,.> denote an inner product defined from 0 to pi.

References

*Chicone, Carmen. "Ordinary Differential Equations with Applications." Springer-Verlag, New York 1999
* Gaston Floquet, "Sur les équations différentielles linéaires à coefficients périodiques," "Ann. École Norm. Sup." 12, 47-88 (1883). http://archive.numdam.org/ARCHIVE/ASENS/ASENS_1883_2_12_/ASENS_1883_2_12__47_0/ASENS_1883_2_12__47_0.pdf
*N.W. McLachlan, Theory and Application of Mathieu Functions, New York: Dover, 1964.
* Gerald Teschl, Ordinary Differential Equations and Dynamical Systems, http://www.mat.univie.ac.at/~gerald/ftp/book-ode/


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