Symplectic reduction with an application to Calogero-Moser systems

Lo scopo del presente lavoro è di illustrare alcuni temi di geometria simplettica, i cui risultati possono essere applicati con successo al problema dell’integrazione dei sistemi dinamici. Nella prima parte si formalizza il teorema di Noether generalizzato, introducendo il concetto dell’applicazione momento, e si dà una descrizione dettagliata del processo di riduzione simplettica, che consiste nello sfruttare le simmetrie di un sistema fisico, ovvero l’invarianza sotto l’azione di un gruppo dato, al fine di eliminarne i gradi di libertà ridondanti. Nella seconda parte, in quanto risultato notevole reso possibile dalla teoria suesposta, si fornisce una panoramica dei sistemi di tipo Calogero-Moser: sistemi totalmente integrabili che possono essere introdotti e risolti usando la tecnica della riduzione simplettica.

The virial expansion of a classical interacting system

We consider N particles interacting pairwise by an inverse square potential in one dimension (Calogero-Sutherland-Moser model). For a system placed in a harmonic trap, its classical partition function for the repulsive regime is recognised in the literature. We start by presenting a concise re-derivation of this result. The equation of state is then calculated both for the trapped and the homogeneous gas. Finally, the classical limit of Wu's distribution function for fractional exclusion statistics is obtained and we re-derive the classical virial expansion of the homogeneous gas using this distribution function.

Practitioners’ perception of the impact of the vision of policy-makers on practice: The example of the recommendations of the Moser Commission

This paper presents the perception of practitioners of the impact of the Moser Committee recommendations and the Skills for Life agenda it generated. The paper further explores areas of convergence and divergence between practitioners’ perceptions and the underpinning values of the Moser Committee recommendations. The study utilised a range of research tools including an online questionnaire, documentary analysis and elements of discourse analysis in the collection and analysis of data. It found that there is substantial divergence between the perception of practitioners and the values underpinning policy. It concludes by suggesting that a varying perception of what constitutes sustainable education and the lack of input from practitioners into policy might be responsible for this significant divergence of opinion and also raised a question on the perceived role of practitioners in the policy‐making process.

Self-adjoint extensions and spectral analysis in the Calogero problem

In this paper, we present a mathematically rigorous quantum-mechanical treatment of a one-dimensional motion of a particle in the Calogero potential alpha x(-2). Although the problem is quite old and well studied, we believe that our consideration based on a uniform approach to constructing a correct quantum-mechanical description for systems with singular potentials and/or boundaries, proposed in our previous works, adds some new points to its solution. To demonstrate that a consideration of the Calogero problem requires mathematical accuracy, we discuss some `paradoxes` inherent in the `naive` quantum-mechanical treatment. Using a self-adjoint extension method, we construct and study all possible self-adjoint operators (self-adjoint Hamiltonians) associated with a formal differential expression for the Calogero Hamiltonian. In particular, we discuss a spontaneous scale-symmetry breaking associated with self-adjoint extensions. A complete spectral analysis of all self-adjoint Hamiltonians is presented.

Modello bayesiano per la riduzione dell'incertezza nella previsione delle piene del fiume Reno

Many efforts have been devoting since last years to reduce uncertainty in hydrological modeling predictions. The principal sources of uncertainty are provided by input errors, for inaccurate rainfall prediction, and model errors, given by the approximation with which the water flow processes in the soil and river discharges are described. The aim of the present work is to develop a bayesian model in order to reduce the uncertainty in the discharge predictions for the Reno river. The ’a priori’ distribution function is given by an autoregressive model, while the likelihood function is provided by a linear equation which relates observed values of discharge in the past and hydrological TOPKAPI model predictions obtained by the rainfall predictions of the limited-area model COSMO-LAMI. The ’a posteriori’ estimations are provided throw a H∞ filter, because the statistical properties of estimation errors are not known. In this work a stationary and a dual adaptive filter are implemented and compared. Statistical analysis of estimation errors and the description of three case studies of flood events occurred during the fall seasons from 2003 to 2005 are reported. Results have also revealed that errors can be described as a markovian process only at a first approximation. For the same period, an ensemble of ’a posteriori’ estimations is obtained throw the COSMO-LEPS rainfall predictions, but the spread of this ’a posteriori’ ensemble is not enable to encompass observation variability. This fact is related to the building of the meteorological ensemble, whose spread reaches its maximum after 5 days. In the future the use of a new ensemble, COSMO–SREPS, focused on the first 3 days, could be helpful to enlarge the meteorogical and, consequently, the hydrological variability.