28,264 research outputs found
Second virial coefficient for the Landau diamagnetism of a two component plasma
This paper investigates the density expansion of the thermodynamic properties
of a two component plasma under the influence of a weak constant uniform
magnetic field. We start with the fugacity expansion for the Helmholtz free
energy. The leading terms with respect to the density are calculated by a
perturbation expansion with respect to the magnetic field. We find a new
magnetic virial function for a low density plasma which is exact in quadratic
order with respect to the magnetic field. Using these results we compute the
magnetization and the magnetic susceptibility.Comment: 16 pages, 4 figures, to appear in Phys.Rev.
Extracting joint weak values with local, single-particle measurements
Weak measurement is a new technique which allows one to describe the
evolution of postselected quantum systems. It appears to be useful for
resolving a variety of thorny quantum paradoxes, particularly when used to
study properties of pairs of particles. Unfortunately, such nonlocal or joint
observables often prove difficult to measure weakly in practice (for instance,
in optics -- a common testing ground for this technique -- strong photon-photon
interactions would be needed). Here we derive a general, experimentally
feasible, method for extracting these values from correlations between
single-particle observables.Comment: 6 page
Ground-state energy of a high-density electron gas in a strong magnetic field
The high-density electron gas in a strong magnetic field B and at zero
temperature is investigated. The quantum strong-field limit is considered in
which only the lowest Landau level is occupied. It is shown that the
perturbation series of the ground-state energy can be represented in analogy to
the Gell-Mann Brueckner expression of the ground-state energy of the field-free
electron gas. The role of the expansion parameter is taken by instead of the field-free Gell-Mann Brueckner
parameter r_s.Comment: 4 pages, 2 figures, to appear in the proceedings of the 1999
International Conference on Strongly Coupled Coulomb Systems (St.Malo
Beating Rayleigh's Curse by Imaging Using Phase Information
Any imaging device such as a microscope or telescope has a resolution limit,
a minimum separation it can resolve between two objects or sources; this limit
is typically defined by "Rayleigh's criterion", although in recent years there
have been a number of high-profile techniques demonstrating that Rayleigh's
limit can be surpassed under particular sets of conditions. Quantum information
and quantum metrology have given us new ways to approach measurement ; a new
proposal inspired by these ideas has now re-examined the problem of trying to
estimate the separation between two poorly resolved point sources. The "Fisher
information" provides the inverse of the Cramer-Rao bound, the lowest variance
achievable for an unbiased estimator. For a given imaging system and a fixed
number of collected photons, Tsang, Nair and Lu observed that the Fisher
information carried by the intensity of the light in the image-plane (the only
information available to traditional techniques, including previous
super-resolution approaches) falls to zero as the separation between the
sources decreases; this is known as "Rayleigh's Curse." On the other hand, when
they calculated the quantum Fisher information of the full electromagnetic
field (including amplitude and phase information), they found it remains
constant. In other words, there is infinitely more information available about
the separation of the sources in the phase of the field than in the intensity
alone. Here we implement a proof-of-principle system which makes use of the
phase information, and demonstrate a greatly improved ability to estimate the
distance between a pair of closely-separated sources, and immunity to
Rayleigh's curse
Markov chains, -trivial monoids and representation theory
We develop a general theory of Markov chains realizable as random walks on
-trivial monoids. It provides explicit and simple formulas for the
eigenvalues of the transition matrix, for multiplicities of the eigenvalues via
M\"obius inversion along a lattice, a condition for diagonalizability of the
transition matrix and some techniques for bounding the mixing time. In
addition, we discuss several examples, such as Toom-Tsetlin models, an exchange
walk for finite Coxeter groups, as well as examples previously studied by the
authors, such as nonabelian sandpile models and the promotion Markov chain on
posets. Many of these examples can be viewed as random walks on quotients of
free tree monoids, a new class of monoids whose combinatorics we develop.Comment: Dedicated to Stuart Margolis on the occasion of his sixtieth
birthday; 71 pages; final version to appear in IJA
Directed nonabelian sandpile models on trees
We define two general classes of nonabelian sandpile models on directed trees
(or arborescences) as models of nonequilibrium statistical phenomena. These
models have the property that sand grains can enter only through specified
reservoirs, unlike the well-known abelian sandpile model.
In the Trickle-down sandpile model, sand grains are allowed to move one at a
time. For this model, we show that the stationary distribution is of product
form. In the Landslide sandpile model, all the grains at a vertex topple at
once, and here we prove formulas for all eigenvalues, their multiplicities, and
the rate of convergence to stationarity. The proofs use wreath products and the
representation theory of monoids.Comment: 43 pages, 5 figures; introduction improve
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