Floquet theory explained
Floquet theory is a branch of the theory of ordinary differential equations relating to the class of solutions to periodic linear differential equations of the form
with
} and
\displaystyleA(t)\in{R{n x
}} being a piecewise continuous
periodic function with period
and defines the state of the stability of solutions.
with
\displaystyleQ(t+2T)=Q(t)
that transforms the periodic system to a traditional linear system with constant, real
coefficients.
When applied to physical systems with periodic potentials, such as crystals in condensed matter physics, the result is known as Bloch's theorem.
Note that the solutions of the linear differential equation form a vector space. A matrix
is called a
fundamental matrix solution if the columns form a basis of the solution set. A matrix
is called a
principal fundamental matrix solution if all columns are linearly independent solutions and there exists
such that
is the identity. A principal fundamental matrix can be constructed from a fundamental matrix using
\Phi(t)=\phi(t){\phi}-1(t0)
. The solution of the linear differential equation with the initial condition
is
x(t)=\phi(t){\phi}-1(0)x0
where
is any fundamental matrix solution.
Floquet's theorem
Let
be a linear first order differential equation,where
is a column vector of length
and
an
periodic matrix with period
(that is
for all real values of
). Let
be a fundamental matrix solution of this differential equation. Then, for all
,
\phi(t+T)=\phi(t)\phi-1(0)\phi(T).
Here
is known as the monodromy matrix.In addition, for each matrix
(possibly complex) such that
there is a periodic (period
) matrix function
such that
\phi(t)=P(t)etBforallt\inR.
Also, there is a real matrix
and a
real periodic (period-
) matrix function
such that
\phi(t)=Q(t)etRforallt\inR.
In the above
,
,
and
are
matrices.
Consequences and applications
This mapping
gives rise to a time-dependent change of coordinates (
), under which our original system becomes a linear system with real constant coefficients
. Since
is continuous and periodic it must be bounded. Thus the stability of the zero solution for
and
is determined by the eigenvalues of
.
The representation
is called a
Floquet normal form for the fundamental matrix
.
The eigenvalues of
are called the
characteristic multipliers of the system. They are also the eigenvalues of the (linear)
Poincaré maps
. A
Floquet exponent (sometimes called a characteristic exponent), is a complex
such that
is a characteristic multiplier of the system. Notice that Floquet exponents are not unique, since
, where
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.
References
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- , Translation of Mathematical Monographs, 19, 294p.
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. Teschl . Gerald . Gerald Teschl . Ordinary Differential Equations and Dynamical Systems . . . 2012 . 978-0-8218-8328-0 .
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