787 research outputs found

    Large deviations principle for Curie-Weiss models with random fields

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    In this article we consider an extension of the classical Curie-Weiss model in which the global and deterministic external magnetic field is replaced by local and random external fields which interact with each spin of the system. We prove a Large Deviations Principle for the so-called {\it magnetization per spin} Sn/nS_n/n with respect to the associated Gibbs measure, where Sn/nS_n/n is the scaled partial sum of spins. In particular, we obtain an explicit expression for the LDP rate function, which enables an extensive study of the phase diagram in some examples. It is worth mentioning that the model considered in this article covers, in particular, both the case of i.\,i.\,d.\ random external fields (also known under the name of random field Curie-Weiss models) and the case of dependent random external fields generated by e.\,g.\ Markov chains or dynamical systems.Comment: 11 page

    Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data

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    Standard causal discovery methods must fit a new model whenever they encounter samples from a new underlying causal graph. However, these samples often share relevant information - for instance, the dynamics describing the effects of causal relations - which is lost when following this approach. We propose Amortized Causal Discovery, a novel framework that leverages such shared dynamics to learn to infer causal relations from time-series data. This enables us to train a single, amortized model that infers causal relations across samples with different underlying causal graphs, and thus makes use of the information that is shared. We demonstrate experimentally that this approach, implemented as a variational model, leads to significant improvements in causal discovery performance, and show how it can be extended to perform well under hidden confounding

    Variational bounds for the shear viscosity of gelling melts

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    We study shear stress relaxation for a gelling melt of randomly crosslinked, interacting monomers. We derive a lower bound for the static shear viscosity η\eta, which implies that it diverges algebraically with a critical exponent k2νβk\ge 2\nu-\beta. Here, ν\nu and β\beta are the critical exponents of percolation theory for the correlation length and the gel fraction. In particular, the divergence is stronger than in the Rouse model, proving the relevance of excluded-volume interactions for the dynamic critical behaviour at the gel transition. Precisely at the critical point, our exact results imply a Mark-Houwink relation for the shear viscosity of isolated clusters of fixed size.Comment: 5 pages; CHANGES: typos corrected, some references added; version as publishe

    Unfolding-based Diagnosis of Systems with an Evolving Topology

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    We propose a framework for model-based diagnosis of systems with mobility and variable topologies, modelled as graph transformation systems. Generally speaking, model-based diagnosis is aimed at constructing explanations of observed faulty behaviours on the basis of a given model of the system. Since the number of possible explanations may be huge, we exploit the unfolding as a compact data structure to store them, along the lines of previous work dealing with Petri net models. Given a model of a system and an observation, the explanations can be constructed by unfolding the model constrained by the observation, and then removing incomplete explanations in a pruning phase. The theory is formalised in a general categorical setting: constraining the system by the observation corresponds to taking a product in the chosen category of graph grammars, so that the correctness of the procedure can be proved by using the fact that the unfolding is a right adjoint and thus it preserves products. The theory should hence be easily applicable to a wide class of system models, including graph grammars and Petri nets

    Компресорні установки

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    Зміст видання відповідає освітньо-професійній програмі підготовки кадрів з вищою освітою напряму „Електротехніка та електротехнології“, зокрема – програмі дисципліни „Енергетичні установки“. Розглянуто основні положення теорії компресорних машин, будову, експлуатаційні особливості та методи регулювання режиму роботи поршневих, ротаційних, гвинтових, водокільцевих і відцентрових компресорів. Посібник адресовано студентам спеціальності „Енергетичний менеджмент“, які вивчають дисципліну „Енергетичні установки“. Він може бути корисним також студентам напрямів „Гірництво“, „Інженерна механіка“ та „Електромеханіка“ при вивченні стаціонарних установок гірничих підприємств
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