1,001 research outputs found
Form Factors for Quasi-particles in c=1 Conformal Field Theory
The non-Fermi liquid physics at the edge of fractional quantum Hall systems
is described by specific chiral Conformal Field Theories with central charge
c=1. The charged quasi-particles in these theories have fractional charge and
obey a form of fractional statistics. In this paper we study form factors,
which are matrix elements of physical (conformal) operators, evaluated in a
quasi-particle basis that is organized according to the rules of fractional
exclusion statistics. Using the systematics of Jack polynomials, we derive
selection rules for a special class of form factors. We argue that finite
temperature Green's functions can be evaluated via systematic form factor
expansions, using form factors such as those computed in this paper and
thermodynamic distribution functions for fractional exclusion statistics. We
present a specific case study where we demonstrate that the form factor
expansion shows a rapid convergence.Comment: 36 pages, 1 postscript figur
Quasi-particles for quantum Hall edges
We discuss a quasi-particle formulation of effective edge theories for the
fractional quantum Hall effect. Fundamental quasi-particles for the Laughlin
state with filling fraction \nu =1/3 are edge electrons of charge -e and edge
quasi-holes of charge +e/3. These quasi-particles satisfy exclusion statistics
in the sense of Haldane. We exploit algebraic properties of edge electrons to
derive a kinetic equation for charge transport between a \nu=1/3 fractional
quantum Hall edge and a normal metal.Comment: Latex, 6 pages, Contribution to the proceedings of the XXXIVth
Rencontres de Moriond `Quantum Physics at Mesoscopic Scale
1,4-diacetoxy-β-lactams. Reactions with nucleophiles
β-Lactam reacts with hetero nucleophiles under ring cleavage to give 2,2-dimethyl-3-oximinobutanoic esters 6 and 7 . N-hydroxyazetidine 5 , the precursor of β-lactam 1, is prepared by a new method
Short and random: Modelling the effects of (proto-)neural elongations
To understand how neurons and nervous systems first evolved, we need an
account of the origins of neural elongations: Why did neural elongations (axons
and dendrites) first originate, such that they could become the central
component of both neurons and nervous systems? Two contrasting conceptual
accounts provide different answers to this question. Braitenberg's vehicles
provide the iconic illustration of the dominant input-output (IO) view. Here
the basic role of neural elongations is to connect sensors to effectors, both
situated at different positions within the body. For this function, neural
elongations are thought of as comparatively long and specific connections,
which require an articulated body involving substantial developmental processes
to build. Internal coordination (IC) models stress a different function for
early nervous systems. Here the coordination of activity across extended parts
of a multicellular body is held central, in particular for the contractions of
(muscle) tissue. An IC perspective allows the hypothesis that the earliest
proto-neural elongations could have been functional even when they were
initially simple short and random connections, as long as they enhanced the
patterning of contractile activity across a multicellular surface. The present
computational study provides a proof of concept that such short and random
neural elongations can play this role. While an excitable epithelium can
generate basic forms of patterning for small body-configurations, adding
elongations allows such patterning to scale up to larger bodies. This result
supports a new, more gradual evolutionary route towards the origins of the very
first full neurons and nervous systems.Comment: 12 pages, 5 figures, Keywords: early nervous systems, neural
elongations, nervous system evolution, computational modelling, internal
coordinatio
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