38,129 research outputs found
An uncertain dollar: The Wall Street Journal, the New York Times and the monetary crisis of 1971 to 1973
In August 15, 1971, President Nixon announced the unilateral suspension of the convertibility of the dollar into gold, a foundation of the world monetary system since the Second World War. The media and economic experts were caught by surprise, neither could foresee the immediate consequences of the decision or what would be the architecture of the emerging international monetary system. From 1971 to 1973, the money markets and the value of the dollar became a news, an opinion, an editorial item in both the New York Times and the Wall Street Journal. I examine this record to question how was anxiety about the dollar resolved in media communication? Media narratives were not uniform between and within the two newspapers. What distinguished the Times and Journal's coverage was their diverse framing of the dollar as political, financial or economic object. I conclude that media uncertainty about the dollar was less an outcome of failing expert knowledge as it was a consequence of the dollar's multiple cultural significations.Economic Journalism, dollar, Smithsonian, Nixon shock, media narratives
Average diagonal entropy in non-equilibrium isolated quantum systems
The diagonal entropy was introduced as a good entropy candidate especially
for isolated quantum systems out of equilibrium. Here we present an analytical
calculation of the average diagonal entropy for systems undergoing unitary
evolution and an external perturbation in the form of a cyclic quench. We
compare our analytical findings with numerical simulations of various many-body
quantum systems. Our calculations elucidate various heuristic relations
proposed recently in the literature.Comment: 5 pages + 4 page "Supplemental material", 2 figure
Pair quenched mean-field theory for the susceptible-infected-susceptible model on complex networks
We present a quenched mean-field (QMF) theory for the dynamics of the
susceptible-infected-susceptible (SIS) epidemic model on complex networks where
dynamical correlations between connected vertices are taken into account by
means of a pair approximation. We present analytical expressions of the
epidemic thresholds in the star and wheel graphs and in random regular
networks. For random networks with a power law degree distribution, the
thresholds are numerically determined via an eigenvalue problem. The pair and
one-vertex QMF theories yield the same scaling for the thresholds as functions
of the network size. However, comparisons with quasi-stationary simulations of
the SIS dynamics on large networks show that the former is quantitatively much
more accurate than the latter. Our results demonstrate the central role played
by dynamical correlations on the epidemic spreading and introduce an efficient
way to theoretically access the thresholds of very large networks that can be
extended to dynamical processes in general.Comment: 6 pages, 6 figure
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