4,570 research outputs found
New column configurations for pressure swing batch distillation II. Rigorous simulation calculations
The pressure swing distillation in different batch column configurations is
investigated by rigorous simulation calculations. The calculations are made by a
professional flow-sheet simulator for the separation of a minimum (ethanolâtoluene) and
a maximum boiling (waterâ ethylene-diamine) azeotropic mixture. Besides studying the
well known configurations (rectifier, stripper) we also investigate two novel
configurations such as double column batch rectifier and double column batch stripper.
The alternate application of a batch rectifier and a batch stripper is also studied. The
different column configurations are compared
Bell inequality and common causal explanation in algebraic quantum field theory
Bell inequalities, understood as constraints between classical conditional
probabilities, can be derived from a set of assumptions representing a common
causal explanation of classical correlations. A similar derivation, however, is
not known for Bell inequalities in algebraic quantum field theories
establishing constraints for the expectation of specific linear combinations of
projections in a quantum state. In the paper we address the question as to
whether a 'common causal justification' of these non-classical Bell
inequalities is possible. We will show that although the classical notion of
common causal explanation can readily be generalized for the non-classical
case, the Bell inequalities used in quantum theories cannot be derived from
these non-classical common causes. Just the opposite is true: for a set of
correlations there can be given a non-classical common causal explanation even
if they violate the Bell inequalities. This shows that the range of common
causal explanations in the non-classical case is wider than that restricted by
the Bell inequalities
Asymptotic behavior of the generalized St. Petersburg sum conditioned on its maximum
In this paper, we revisit the classical results on the generalized St.
Petersburg sums. We determine the limit distribution of the St. Petersburg sum
conditioning on its maximum, and we analyze how the limit depends on the value
of the maximum. As an application, we obtain an infinite sum representation of
the distribution function of the possible semistable limits. In the
representation, each term corresponds to a given maximum, in particular this
result explains that the semistable behavior is caused by the typical values of
the maximum.Comment: Published at http://dx.doi.org/10.3150/14-BEJ685 in the Bernoulli
(http://isi.cbs.nl/bernoulli/) by the International Statistical
Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm
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