50,297 research outputs found
Vector mesons in systems
A new selection rule is described for the vector mesons in the decuplet
representations of flavor SU(3)Comment: 7 pages and 1 figur
Internal Migration of Blacks in South Africa: Self-selection and Brain Drain
Migrations historically have led to fears of “brain drain” from the sending regions because many studies show that the more highly skilled and motivated people are more likely to migrate. South Africa provides a natural testing ground for the study of brain drains because the Apartheid system, which ended in the early 1990s, had long constrained the locational choices of black migrants of all skill levels. As apartheid was being dismantled, new opportunities for movement opened up to black workers, leading to a surge in internal migration. We first analyze whether migration patterns of Black South Africans during the period 1992 to 1996 match the predictions of the two seminal papers, Roy (1951) and Sjaastad (1962), where individuals are hypothesized to be income-maximizers. The results from conditional logit regressions on individual choices among 318 locations show that they do. Individuals prefer localities with higher expected log wages regardless of their educations and skills. More importantly, workers with at least some matriculation tend to favor areas where a higher share of the population attended high school. In contrast, workers who did not attend high school find such areas less attractive. Over the study period, brain drain arose among blacks within South Africa: the share of high-educated residents in areas with high shares of high schooling increased.Internal Migration ; South Africa ; Self-selection ; Brain Drain
Classification of -Wave and Systems
An exotic meson, the with , has been seen to
decay into a p-wave system. If this decay conserves flavor SU(3),
then it can be shown that this exotic meson must be a four-quark state () belonging to a flavor representation
of SU(3). In contrast, the with a substantial decay mode into
is likely to be a member of a flavor octet.Comment: 8 page
An LMI Approach to Discrete-Time Observer Design with Stochastic Resilience
Much of the recent work on robust control or observer design has focused on preservation of stability of the controlled system or the convergence of the observer in the presence of parameter perturbations in the plant or the measurement model. The present work addresses the important problem of stochastic resilience or non-fragility of a discrete-time Luenberger observer which is the maintenance of convergence and/or performance when the observer is erroneously implemented possibly due to computational errors i.e. round off errors in digital implementation or sensor errors, etc. A common linear matrix inequality framework is presented to address the stochastic resilient design problem for various performance criteria in the implementation based on the knowledge of an upper bound on the variance of the random error in the observer gain. Present results are compared to earlier designs for stochastic robustness. Illustrative examples are given to complement the theoretical results
Resilient Observer Design for Discrete-Time Nonlinear Systems with General Criteria
A class of discrete-time nonlinear system and measurement equations having incrementally conic nonlinearities and finite energy disturbances is considered. A linear matrix inequality based resilient observer design approach is presented to guarantee the satisfaction of a variety of performance criteria ranging from simple estimation error boundedness to dissipativity in the presence of bounded perturbations on the gain. Some simulation examples are included to illustrate the proposed design methodology
Stochastically Resilient Observer Design for a Class of Continuous-Time Nonlinear Systems
This work addresses the design of stochastically resilient or non-fragile continuous-time Luenberger observers for systems with incrementally conic nonlinearities. Such designs maintain the convergence and/or performance when the observer gain is erroneously implemented due possibly to computational errors i.e. round off errors in computing the observer gain or changes in the observer parameters during operation. The error in the observer gain is modeled as a random process and a common linear matrix inequality formulation is presented to address the stochastically resilient observer design problem for a variety of performance criteria. Numerical examples are given to illustrate the theoretical results
Common adversaries form alliances: modelling complex networks via anti-transitivity
Anti-transitivity captures the notion that enemies of enemies are friends,
and arises naturally in the study of adversaries in social networks and in the
study of conflicting nation states or organizations. We present a simplified,
evolutionary model for anti-transitivity influencing link formation in complex
networks, and analyze the model's network dynamics. The Iterated Local
Anti-Transitivity (or ILAT) model creates anti-clone nodes in each time-step,
and joins anti-clones to the parent node's non-neighbor set. The graphs
generated by ILAT exhibit familiar properties of complex networks such as
densification, short distances (bounded by absolute constants), and bad
spectral expansion. We determine the cop and domination number for graphs
generated by ILAT, and finish with an analysis of their clustering
coefficients. We interpret these results within the context of real-world
complex networks and present open problems
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