1,824 research outputs found

    Hyper-symplectic structures on integrable systems

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    We prove that an integrable system over a symplectic manifold, whose symplectic form is covariantly constant w.r.t. the Gauss-Manin connection, carries a natural hyper-symplectic structure. Moreover, a special Kaehler structure is induced on the base manifold.Comment: LaTeX file, 7 pages; to be published in Journal of Geometry and Physic

    Classification of Poisson surfaces

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    We study complex projective surfaces admitting a Poisson structure. We prove a classification theorem and count how many independent Poisson structures there are on a given Poisson surface.Comment: LaTeX file, 8 pages; to be published in "Communications in Contemporary Mathematics

    Poisson-Nijenhuis structures on quiver path algebras

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    We introduce a notion of noncommutative Poisson-Nijenhuis structure on the path algebra of a quiver. In particular, we focus on the case when the Poisson bracket arises from a noncommutative symplectic form. The formalism is then applied to the study of the Calogero-Moser and Gibbons-Hermsen integrable systems. In the former case, we give a new interpretation of the bihamiltonian reduction performed in [3].Comment: 23 page

    Monitoring with uncertainty

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    We discuss the problem of runtime verification of an instrumented program that misses to emit and to monitor some events. These gaps can occur when a monitoring overhead control mechanism is introduced to disable the monitor of an application with real-time constraints. We show how to use statistical models to learn the application behavior and to "fill in" the introduced gaps. Finally, we present and discuss some techniques developed in the last three years to estimate the probability that a property of interest is violated in the presence of an incomplete trace.Comment: In Proceedings HAS 2013, arXiv:1308.490

    Categorial mirror symmetry for K3 surfaces

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    We study the structure of a modified Fukaya category F(X){\frak F}(X) associated with a K3 surface XX, and prove that whenever XX is an elliptic K3 surface with a section, the derived category of \fF(X) is equivalent to a subcategory of the derived category D(X^){\bold D}(\hat X) of coherent sheaves on the mirror K3 surface X^\hat X.Comment: 11 pages, AmsLatex. Exposition (hopefully) improved, one argument simplifie

    A temporal logic approach to modular design of synthetic biological circuits

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    We present a new approach for the design of a synthetic biological circuit whose behaviour is specified in terms of signal temporal logic (STL) formulae. We first show how to characterise with STL formulae the input/output behaviour of biological modules miming the classical logical gates (AND, NOT, OR). Hence, we provide the regions of the parameter space for which these specifications are satisfied. Given a STL specification of the target circuit to be designed and the networks of its constituent components, we propose a methodology to constrain the behaviour of each module, then identifying the subset of the parameter space in which those constraints are satisfied, providing also a measure of the robustness for the target circuit design. This approach, which leverages recent results on the quantitative semantics of Signal Temporal Logic, is illustrated by synthesising a biological implementation of an half-adder

    A Formal Methods Approach to Pattern Synthesis in Reaction Diffusion Systems

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    We propose a technique to detect and generate patterns in a network of locally interacting dynamical systems. Central to our approach is a novel spatial superposition logic, whose semantics is defined over the quad-tree of a partitioned image. We show that formulas in this logic can be efficiently learned from positive and negative examples of several types of patterns. We also demonstrate that pattern detection, which is implemented as a model checking algorithm, performs very well for test data sets different from the learning sets. We define a quantitative semantics for the logic and integrate the model checking algorithm with particle swarm optimization in a computational framework for synthesis of parameters leading to desired patterns in reaction-diffusion systems
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