126 research outputs found
Weak disorder expansion for localization lengths of quasi-1D systems
A perturbative formula for the lowest Lyapunov exponent of an Anderson model on a strip is presented. It is expressed in terms of an energy-dependent doubly stochastic matrix, the size of which is proportional to the strip width. This matrix and the resulting perturbative expression for the Lyapunov exponent are evaluated numerically. Dependence on energy, strip width and disorder strength are thoroughly compared with the results obtained by the standard transfer matrix method. Good agreement is found for all energies in the band of the free operator and this even for quite large values of the disorder strength
Delocalization in random polymer models
A random polymer model is a one-dimensional Jacobi matrix randomly composed
of two finite building blocks. If the two associated transfer matrices commute,
the corresponding energy is called critical. Such critical energies appear in
physical models, an example being the widely studied random dimer model. It is
proven that the Lyapunov exponent vanishes quadratically at a generic critical
energy and that the density of states is positive there. Large deviation
estimates around these asymptotics allow to prove optimal lower bounds on
quantum transport, showing that it is almost surely overdiffusive even though
the models are known to have pure-point spectrum with exponentially localized
eigenstates for almost every configuration of the polymers. Furthermore, the
level spacing is shown to be regular at the critical energy
Perturbative test of single parameter scaling for 1D random media
Products of random matrices associated to one-dimensional random media
satisfy a central limit theorem assuring convergence to a gaussian centered at
the Lyapunov exponent. The hypothesis of single parameter scaling states that
its variance is equal to the Lyapunov exponent. We settle discussions about its
validity for a wide class of models by proving that, away from anomalies,
single parameter scaling holds to lowest order perturbation theory in the
disorder strength. However, it is generically violated at higher order. This is
explicitely exhibited for the Anderson model.Comment: minor corrections to previous version, to appear in Annales H.
Poincar
Mott law as lower bound for a random walk in a random environment
We consider a random walk on the support of a stationary simple point process
on , which satisfies a mixing condition w.r.t.the translations
or has a strictly positive density uniformly on large enough cubes. Furthermore
the point process is furnished with independent random bounded energy marks.
The transition rates of the random walk decay exponentially in the jump
distances and depend on the energies through a factor of the Boltzmann-type.
This is an effective model for the phonon-induced hopping of electrons in
disordered solids within the regime of strong Anderson localization. We show
that the rescaled random walk converges to a Brownian motion whose diffusion
coefficient is bounded below by Mott's law for the variable range hopping
conductivity at zero frequency. The proof of the lower bound involves estimates
for the supercritical regime of an associated site percolation problem
Spectral averaging techniques for Jacobi matrices with matrix entries
A Jacobi matrix with matrix entries is a self-adjoint block tridiagonal
matrix with invertible blocks on the off-diagonals. Averaging over boundary
conditions leads to explicit formulas for the averaged spectral measure which
can potentially be useful for spectral analysis. Furthermore another variant of
spectral averaging over coupling constants for these operators is presented
Mott law as lower bound for a random walk in a random environment
We consider a random walk on the support of a stationary simple point
process on \RR^d, which satisfies a mixing condition w.r.t. the
translations or has a strictly positive density uniformly on large enough
cubes. Furthermore the point process is furnished with independent random
bounded energy marks. The transition rates of the random walk decay
exponentially in the jump distances and depend on the energies through a
factor of the Boltzmann-type. This is an effective model for the
phonon-induced hopping of electrons in disordered solids within the regime of
strong Anderson localisation. We show that the rescaled random walk
converges to a Brownian motion whose diffusion coefficient is bounded below
by Mott's law for the variable range hopping conductivity at zero
frequency. The proof of the lower bound involves estimates for the
supercritical regime of an associated site percolation problem
Boundary maps for -crossed products with R with an application to the quantum Hall effect
The boundary map in K-theory arising from the Wiener-Hopf extension of a
crossed product algebra with R is the Connes-Thom isomorphism. In this article
the Wiener Hopf extension is combined with the Heisenberg group algebra to
provide an elementary construction of a corresponding map on higher traces (and
cyclic cohomology). It then follows directly from a non-commutative Stokes
theorem that this map is dual w.r.t.Connes' pairing of cyclic cohomology with
K-theory. As an application, we prove equality of quantized bulk and edge
conductivities for the integer quantum Hall effect described by continuous
magnetic Schroedinger operators.Comment: to appear in Commun. Math. Phy
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