60,695 research outputs found
Discrete Approximations of Metric Measure Spaces of Controlled Geometry
We find a necessary and sufficient condition for a doubling metric space to
carry a (1,p)-Poincare inequality. The condition involves discretizations of
the metric space and Poincare inequalities on graphs.Comment: 23 Page
Boron determination in steels by Inductively-Coupled Plasma spectometry (ICP)
The sample is treated with 5N H2SO4 followed by concentrated HNO3 and the diluted mixture is filtered. Soluble B is determined in the filtrate by Inductively-Coupled Plasma (ICP) spectrometry after addition HCl and extraction of Fe with ethyl-ether. The residue is fused with Na2CO3 and, after treatment with HCl, the insoluble B is determined by ICP spectrometry as before. The method permits determination of ppm amounts of B in steel
Study of the double non linear quantum resonances in diatomic molecules
We study the quantum dynamics of diatomic molecule driven by a circularly
polarized resonant electric field. We look for a quantum effect due to
classical chaos appearing due to the overlapping of nonlinear resonances
associated to the vibrational and rotational motion. We solve the Schr\"odinger
equation associated with the wave function expanded in term of proper
stationary states, (vibrationalangular momentum
states). Looking for quantum-classic correspondence, we consider the Liouville
dynamics in the two dimensional phase space defined by the coherent -like state
of vibrational states, and it is found some similarities when the quantum
dynamics is pictured in terms of number and phase operators.Comment: 15 pages, 4 figure
Order Reduction of the Chemical Master Equation via Balanced Realisation
We consider a Markov process in continuous time with a finite number of
discrete states. The time-dependent probabilities of being in any state of the
Markov chain are governed by a set of ordinary differential equations, whose
dimension might be large even for trivial systems. Here, we derive a reduced
ODE set that accurately approximates the probabilities of subspaces of interest
with a known error bound. Our methodology is based on model reduction by
balanced truncation and can be considerably more computationally efficient than
the Finite State Projection Algorithm (FSP) when used for obtaining transient
responses. We show the applicability of our method by analysing stochastic
chemical reactions. First, we obtain a reduced order model for the
infinitesimal generator of a Markov chain that models a reversible,
monomolecular reaction. In such an example, we obtain an approximation of the
output of a model with 301 states by a reduced model with 10 states. Later, we
obtain a reduced order model for a catalytic conversion of substrate to a
product; and compare its dynamics with a stochastic Michaelis-Menten
representation. For this example, we highlight the savings on the computational
load obtained by means of the reduced-order model. Finally, we revisit the
substrate catalytic conversion by obtaining a lower-order model that
approximates the probability of having predefined ranges of product molecules.Comment: 12 pages, 6 figure
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