85,532 research outputs found
The Hamiltonian Formulation of Higher Order Dynamical Systems
Using Dirac's approach to constrained dynamics, the Hamiltonian formulation
of regular higher order Lagrangians is developed. The conventional description
of such systems due to Ostrogradsky is recovered. However, unlike the latter,
the present analysis yields in a transparent manner the local structure of the
associated phase space and its local sympletic geometry, and is of direct
application to {\em constrained\/} higher order Lagrangian systems which are
beyond the scope of Ostrogradsky's approach.Comment: 17 pages. Revised: references adde
Phenomenological Aspects of F-theory
Stabilizing a heterotic string vacuum with a large expectation value of the
dilaton and simultaneously breaking low-energy supersymmetry is a long-standing
problem of string phenomenology. We reconsider these issues in light of the
recent developments in F-theory.Comment: 11 pages, phyzzx macro
Improved Upper Bounds to the Causal Quadratic Rate-Distortion Function for Gaussian Stationary Sources
We improve the existing achievable rate regions for causal and for zero-delay
source coding of stationary Gaussian sources under an average mean squared
error (MSE) distortion measure. To begin with, we find a closed-form expression
for the information-theoretic causal rate-distortion function (RDF) under such
distortion measure, denoted by , for first-order Gauss-Markov
processes. Rc^{it}(D) is a lower bound to the optimal performance theoretically
attainable (OPTA) by any causal source code, namely Rc^{op}(D). We show that,
for Gaussian sources, the latter can also be upper bounded as Rc^{op}(D)\leq
Rc^{it}(D) + 0.5 log_{2}(2\pi e) bits/sample. In order to analyze
for arbitrary zero-mean Gaussian stationary sources, we
introduce \bar{Rc^{it}}(D), the information-theoretic causal RDF when the
reconstruction error is jointly stationary with the source. Based upon
\bar{Rc^{it}}(D), we derive three closed-form upper bounds to the additive rate
loss defined as \bar{Rc^{it}}(D) - R(D), where R(D) denotes Shannon's RDF. Two
of these bounds are strictly smaller than 0.5 bits/sample at all rates. These
bounds differ from one another in their tightness and ease of evaluation; the
tighter the bound, the more involved its evaluation. We then show that, for any
source spectral density and any positive distortion D\leq \sigma_{x}^{2},
\bar{Rc^{it}}(D) can be realized by an AWGN channel surrounded by a unique set
of causal pre-, post-, and feedback filters. We show that finding such filters
constitutes a convex optimization problem. In order to solve the latter, we
propose an iterative optimization procedure that yields the optimal filters and
is guaranteed to converge to \bar{Rc^{it}}(D). Finally, by establishing a
connection to feedback quantization we design a causal and a zero-delay coding
scheme which, for Gaussian sources, achieves...Comment: 47 pages, revised version submitted to IEEE Trans. Information Theor
“Binge drinking? It’s good, it’s harmless fun”:a discourse analysis of accounts of female undergraduate drinking in Scotland
Binge drinking in young people, particularly females and students, is a source of some concern to those engaged in health education. The concept is usually defined in terms of quantities of alcohol consumed within a relatively short space of time. Research suggests that reasons for drinking are varied, and are likely to be influenced by culture and context. This study aimed to explore issues important to female undergraduate students in Scotland. Semi-structured interviews were carried out with 19 participants who were asked to describe what they understand by the term ‘binge drinking’, why they drink and what might trigger excessive consumption. Discourse analysis was used to explore the possible ‘functions’ of what was said, as well as the content. Participants showed sensitivity to how others might interpret their responses. They described binge drinking in terms of its behavioural effects rather than quantities consumed. Crucially, they positioned themselves outside the categories of ‘serious’ or ‘anti-social’ drinkers. These findings have important implications for our understanding of factors influencing drinking behaviour in this group of people, which in turn impacts on the potential design of health-enhancing interventions. The study also demonstrates the usefulness of a discourse analytic approach to accounts of drinking behaviour
Assessment of W1 and W2 theories for the computation of electron affinities, ionization potentials, heats of formation, and proton affinities
The performance of two recent {\em ab initio} computational thermochemistry
schemes, W1 and W2 theory [J.M.L. Martin and G. de Oliveira, J. Chem. Phys.
111, 1843 (1999}], is assessed for an enlarged sample of thermochemical data
consisting of the ionization potentials and electron affinities in the G2-1 and
G2-2 sets, as well as the heats of formation in the G2-1 and a subset of the
G2-2 set. We find W1 theory to be several times more accurate for ionization
potentials and electron affinities than commonly used (and less expensive)
computational thermochemistry schemes such as G2, G3, and CBS-QB3: W2 theory
represents a slight improvement for electron affinities but no significant one
for ionization potentials. The use of a two-point rather than a
three-point extrapolation for the SCF component greatly enhances the
numerical stability of the W1 method for systems with slow basis set
convergence. Inclusion of first-order spin-orbit coupling is essential for
accurate ionization potentials and electron affinities involving degenerate
electronic states: inner-shell correlation is somewhat more important for
ionization potentials than for electron affinities, while scalar relativistic
effects are required for the highest accuracy. The mean deviation from
experiment for the G2-1 heats of formation is within the average experimental
uncertainty. W1 theory appears to be a valuable tool for obtaining benchmark
quality proton affinities.Comment: Journal of Chemical Physics, in press (303115JCP). 2 RevTeX files,
first is text and tables, second is E-PAPS tables S-1 through S-5. Additional
supplementary material (total energies, basis function exponents) available
at http://theochem.weizmann.ac.il/web/papers/w1w2.htm
Poland Divided: Spatial Differences in the June 2003 EU Accession Referendum. Jean Monnet/Robert Schuman Paper Series, Vol. 4 No. 1, January 2004
(From the introduction). Thus, our purpose here is to describe and analyze geographical patterns within Poland of approval, disapproval, and abstention from this crucial vote on joining the EU, and to link those outcomes to the social and economic situation obtaining in the regions. From these associations we can shed additional light on how Poland divided on this pivotal issue and posit some challenges for both Polish and EU policy makers in the years ahead. To guide us we refer to several studies of the emergence of electoral politics in former- Soviet states (notably Russia and Ukraine) and in Central and Eastern Europe that have pointed to the salience of geographical differences in voting outcomes and voter turnout in the postcommunist period. (7) Complementing research based on individual level, or survey, data, these geographic studies using aggregate data relate variations in the social, economic, and demographic traits of regions to party, candidate, and issue preferences across these same units. For example, it has been almost universally the case in the post-communist countries that rural, older, agricultural populations have voted mainly for parties of the left and against reform, while urban, better-educated, white collar areas have, for the most part, favored parties and candidates that have advocated reform and privatization. These outcomes match very closely the kinds of divisions within societies that we find in surveys. Clearly, however, we must recognize the limitations of aggregate data analysis, especially the need to avoid imputing individual action from collective figures. Surveys, of course, have advantages over one-time aggregate data, including their ability to probe attitudes and to conduct sampling over time. However, polling results have their own limitations especially that they tend to be a–spatial (and therefore cannot usually be used to illuminate important regional issues), and that respondents are not always truthful, particularly on sensitive subjects. But taken together, survey and aggregate data provide us with a higher degree of confidence in the analysis of the correlates of voting behavior. Following the methodology used in these other geographic studies of post-communist states, here we will test several propositions relating to the affinity for EU membership within different segments of Poland’s electorate. We will do this by cross-tabulating results of the June accession referendum with key social and economic variables among the 373 powiaty of Poland. According to the administrative reform of 1999, Poland is divided into 16 provinces (województwa, or voivodships), which are in turn divided into sub-regions (podregiony) and further into the powiaty. (8) The powiat scale of analysis is ideal for our purposes; powiaty are “county” level units or individual cities “with powiat status” (what we will call here “urban powiaty”) that provide an excellent degree of spatial resolution and, most importantly, for which the Polish government provides superb, detailed socioeconomic data and electoral results. (9) Powiaty typically range from 50,000 to 150,000 inhabitants and between 500-2,000 km2. Urban powiaty range from relatively small to medium-sized urban centers with populations around 100,000 people to the largest cities such as Poznań (572,000), Wrocław (624,000), Kraków (741,000) and Łódz (786,526). The Warsaw conurbation comprises the powiat of Warsaw (1.610 million). (10) As will be seen, there is a remarkable diversity within Poland—not unexpectedly in such a large and heterogeneous country—with regard both to social and economic conditions and to the demonstrated preferences of voters, with the two being related
Bell Inequalities for Position Measurements
Bell inequalities for position measurements are derived using the bits of the
binary expansion of position-measurement results. Violations of these
inequalities are obtained from the output state of the Non-degenerate Optical
Parametric Amplifier.Comment: revtex4, 2 figure
Sample path properties of stochastic processes represented as multiple stable integrals
Originally published as a technical report no. 871, October 1989 for Cornell University Operations Research and Industrial Engineering. Available online: http://hdl.handle.net/1813/8754This paper studies the sample path properties of stochastic processes represented by multiple symmetric α-stable integrals. It relates the “smoothness” of the sample paths to the “smoothness” of the (non-random) integrand. It also contains results about the behavior of the distribution of suprema and zero-one laws
Characteristic matrices for linear periodic delay differential equations
Szalai et al. (SIAM J. on Sci. Comp. 28(4), 2006) gave a general construction
for characteristic matrices for systems of linear delay-differential equations
with periodic coefficients. First, we show that matrices constructed in this
way can have a discrete set of poles in the complex plane, which may possibly
obstruct their use when determining the stability of the linear system. Then we
modify and generalize the original construction such that the poles get pushed
into a small neighborhood of the origin of the complex plane.Comment: 17 pages, 1 figur
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