7,754 research outputs found
From a kinetic equation to a diffusion under an anomalous scaling
A linear Boltzmann equation is interpreted as the forward equation for the
probability density of a Markov process (K(t), i(t), Y(t)), where (K(t), i(t))
is an autonomous reversible jump process, with waiting times between two jumps
with finite expectation value but infinite variance, and Y(t) is an additive
functional of K(t). We prove that under an anomalous rescaling Y converges in
distribution to a two-dimensional Brownian motion. As a consequence, the
appropriately rescaled solution of the Boltzmann equation converges to a
diffusion equation
Long time, large scale limit of the Wigner transform for a system of linear oscillators in one dimension
We consider the long time, large scale behavior of the Wigner transform
W_\eps(t,x,k) of the wave function corresponding to a discrete wave equation
on a 1-d integer lattice, with a weak multiplicative noise. This model has been
introduced in Basile, Bernardin, and Olla to describe a system of interacting
linear oscillators with a weak noise that conserves locally the kinetic energy
and the momentum. The kinetic limit for the Wigner transform has been shown in
Basile, Olla, and Spohn. In the present paper we prove that in the unpinned
case there exists such that for any the
weak limit of W_\eps(t/\eps^{3/2\gamma},x/\eps^{\gamma},k), as \eps\ll1,
satisfies a one dimensional fractional heat equation with . In the pinned case an analogous
result can be claimed for W_\eps(t/\eps^{2\gamma},x/\eps^{\gamma},k) but the
limit satisfies then the usual heat equation
Asymptotics of the solutions of the stochastic lattice wave equation
We consider the long time limit theorems for the solutions of a discrete wave
equation with a weak stochastic forcing. The multiplicative noise conserves the
energy and the momentum. We obtain a time-inhomogeneous Ornstein-Uhlenbeck
equation for the limit wave function that holds both for square integrable and
statistically homogeneous initial data. The limit is understood in the
point-wise sense in the former case, and in the weak sense in the latter. On
the other hand, the weak limit for square integrable initial data is
deterministic
Superintendent Relations: Impact of Leadership on Student Learning
Since the implementation of No Child Left Behind school systems across America have been searching for the answer to increasing student achievement. Researchers have found many methods of increasing achievement through leadership behaviors, however others have found that superintendents have a very small impact on achievement and proficiency. The purpose of this study was to investigate the correlation between superintendent leadership behaviors and student proficiency rates in school districts in rural West Virginia. This quantitative, correlational study specifically sought to discover how accurately school proficiency rates could be predicted from a linear combination of superintendent instructional leadership behaviors. Fifty-five school districts in rural West Virginia were the target for this study. Of the 55 districts, a convenience sample of 41 superintendents were used for this study. Superintendents self-ranked their level of emphasis placed on leadership behaviors in the Superintendent Instructional Leadership Survey (SILS) using a five-point Likert Scale. A multiple regression was conducted to determine the correlation between the independent variable (superintendent leadership behaviors) and dependent variable (student proficiency) and found a high level of prediction, R=.962, p \u3c .001
Superdiffusion of energy in Hamiltonian systems perturbed by a conservative noise
We review some recent results on the anomalous diffusion of energy in systems
of 1D coupled oscillators and we revisit the role of momentum conservation.Comment: Proceedings of the conference PSPDE 2012
https://sites.google.com/site/meetingpspde
Thermal conductivity in harmonic lattices with random collisions
We review recent rigorous mathematical results about the macroscopic
behaviour of harmonic chains with the dynamics perturbed by a random exchange
of velocities between nearest neighbor particles. The random exchange models
the effects of nonlinearities of anharmonic chains and the resulting dynamics
have similar macroscopic behaviour. In particular there is a superdiffusion of
energy for unpinned acoustic chains. The corresponding evolution of the
temperature profile is governed by a fractional heat equation. In non-acoustic
chains we have normal diffusivity, even if momentum is conserved.Comment: Review paper, to appear in the Springer Lecture Notes in Physics
volume "Thermal transport in low dimensions: from statistical physics to
nanoscale heat transfer" (S. Lepri ed.
Online and offline security policy assessment
Network architectures and applications are becoming increasingly complex. Several approaches to automatically enforce configurations on devices, applications and services have been proposed, such as Policy-Based Network Management (PBNM). However, the management of enforced configurations in production environments (e.g. data center) is a crucial and complex task. For example, updates on firewall configuration to change a set of rules. Although this task is fundamental for complex systems, few effective solutions have been proposed for monitoring and managing enforced configurations. This work proposes a novel approach to monitor and manage enforced configurations in production environments. The main contributions of this paper are a formal model to identify/generate traffic flows and to verify the enforced configurations, and a slim and transparent framework to perform the policy assessment. We have implemented and validated our approach in a virtual environment in order to evaluate different scenarios. The results demonstrate that the prototype is effective and has good performance, therefore our model can be effectively used to analyse several types of IT infrastructures. A further interesting result is that our approach is complementary to PBNM
UNVEIL (Understanding Vulnerability to Expand Insight on Local units)
Recent crises have exposed rooted inequalities across territories, which have unveiled their different levels of vulnerability and,consequently, their different capacity to resist and react to challenges. A territoryâs level of exposure to challenges and the featuresthat can heighten the impact of crises is commonly referred to as Vulnerability. Describing and monitoring territoriesâ patterns ofvulnerability is key to understanding their strengths and weaknesses, in order to identify the tailor-made actions that would makepolitical interventions effective and efficient. Measuring vulnerability, however, requires disentangling the concept across several dimensions, which might not be limited to socio-economic or environmental factors. In this respect, the often neglected political-institutional dimension of vulnerability stands out, since it determines a territoryâs ability to effectively deliver policies and provide timely responses to crises through effective and democratic institutions (EC, SFR 2020). Vulnerability assessments are usually carried out at the supranational (e.g, the European Union), or country level. Subnational levels, and especially the smallest local units, are seldom included in the measurement efforts, despite often being the first bulwark of resistance against challenges, as the outbreak of the COVID-19 pandemic proved (CoR 2020; 2021).
Against this background, the UNVEIL project undertakes the challenge of systematically embedding the measurement of the
vulnerability of the local units into policymaking. It will do so by providing an encompassing conceptualization of vulnerability, across three main dimensions (Environmental, Socio-economic, Political-Institutional), on which developing an aggregate index (ESPIV index) for the measurement and monitoring of vulnerability of local units, and then provide policy-makers the knowledge to enact appropriate strategies. To empirically test the ESPIV index, UNVEIL will foreground Italyâs municipalities, which provide a heterogeneous sample of territories with different magnitudes of vulnerability and thus a sound starting point for future comparative research.
UNVEIL has the ambition to have both scientific and practical relevance. Scientifically, it will contribute by adopting a
multidisciplinary approach for the conceptualization and operationalization of vulnerability. UNVEIL will build on a combination of comparative, statistical, and case-study research design, and make use of both quantitative (descriptive and explanatory analyses of a large-N dataset, factor-analysis) and qualitative (literature review, semi-structured interviews, archive research) analysis to triangulate on data.
The practical relevance of the UNVEIL project relies on the development of the ESPIV index, which can be used by policymakers to understand their territoryâs vulnerability and thus devise and enact the most appropriate, tailor-made, and evidence-based strategies of action
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