75,778 research outputs found
First-principles quantum dynamics for fermions: Application to molecular dissociation
We demonstrate that the quantum dynamics of a many-body Fermi-Bose system can
be simulated using a Gaussian phase-space representation method. In particular,
we consider the application of the mixed fermion-boson model to ultracold
quantum gases and simulate the dynamics of dissociation of a Bose-Einstein
condensate of bosonic dimers into pairs of fermionic atoms. We quantify
deviations of atom-atom pair correlations from Wick's factorization scheme, and
show that atom-molecule and molecule-molecule correlations grow with time, in
clear departures from pairing mean-field theories. As a first-principles
approach, the method provides benchmarking of approximate approaches and can be
used to validate dynamical probes for characterizing strongly correlated phases
of fermionic systems.Comment: Final published versio
The view from elsewhere: perspectives on ALife Modeling
Many artificial life researchers stress the interdisciplinary character of the field. Against such a backdrop, this report reviews and discusses artificial life, as it is depicted in, and as it interfaces with, adjacent disciplines (in particular, philosophy, biology, and linguistics), and in the light of a specific historical example of interdisciplinary research (namely cybernetics) with which artificial life shares many features. This report grew out of a workshop held at the Sixth European Conference on Artificial Life in Prague and features individual contributions from the workshop's eight speakers, plus a section designed to reflect the debates that took place during the workshop's discussion sessions. The major theme that emerged during these sessions was the identity and status of artificial life as a scientific endeavor
Emergence and Correspondence for String Theory Black Holes
This is one of a pair of papers that give a
historical-\emph{cum}-philosophical analysis of the endeavour to understand
black hole entropy as a statistical mechanical entropy obtained by counting
string-theoretic microstates. Both papers focus on Andrew Strominger and Cumrun
Vafa's ground-breaking 1996 calculation, which analysed the black hole in terms
of D-branes. The first paper gives a conceptual analysis of the Strominger-Vafa
argument, and of several research efforts that it engendered. In this paper, we
assess whether the black hole should be considered as emergent from the D-brane
system, particularly in light of the role that duality plays in the argument.
We further identify uses of the quantum-to-classical correspondence principle
in string theory discussions of black holes, and compare these to the
heuristics of earlier efforts in theory construction, in particular those of
the old quantum theory.Comment: 40 page
A Critical Assessment of the Boltzmann Approach for Active Systems
Generic models of propelled particle systems posit that the emergence of
polar order is driven by the competition between local alignment and noise.
Although this notion has been confirmed employing the Boltzmann equation, the
range of applicability of this equation remains elusive. We introduce a broad
class of mesoscopic collision rules and analyze the prerequisites for the
emergence of polar order in the framework of kinetic theory. Our findings
suggest that a Boltzmann approach is appropriate for weakly aligning systems
but is incompatible with experiments on cluster forming systems.Comment: 11 pages, 3 figure
Understanding Zipf's law of word frequencies through sample-space collapse in sentence formation
The formation of sentences is a highly structured and history-dependent
process. The probability of using a specific word in a sentence strongly
depends on the 'history' of word-usage earlier in that sentence. We study a
simple history-dependent model of text generation assuming that the
sample-space of word usage reduces along sentence formation, on average. We
first show that the model explains the approximate Zipf law found in word
frequencies as a direct consequence of sample-space reduction. We then
empirically quantify the amount of sample-space reduction in the sentences of
ten famous English books, by analysis of corresponding word-transition tables
that capture which words can follow any given word in a text. We find a highly
nested structure in these transition tables and show that this `nestedness' is
tightly related to the power law exponents of the observed word frequency
distributions. With the proposed model it is possible to understand that the
nestedness of a text can be the origin of the actual scaling exponent, and that
deviations from the exact Zipf law can be understood by variations of the
degree of nestedness on a book-by-book basis. On a theoretical level we are
able to show that in case of weak nesting, Zipf's law breaks down in a fast
transition. Unlike previous attempts to understand Zipf's law in language the
sample-space reducing model is not based on assumptions of multiplicative,
preferential, or self-organised critical mechanisms behind language formation,
but simply used the empirically quantifiable parameter 'nestedness' to
understand the statistics of word frequencies.Comment: 7 pages, 4 figures. Accepted for publication in the Journal of the
Royal Society Interfac
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