3,487 research outputs found

    Nonlinear self-adjointness and conservation laws

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    The general concept of nonlinear self-adjointness of differential equations is introduced. It includes the linear self-adjointness as a particular case. Moreover, it embraces the strict self-adjointness and quasi self-adjointness introduced earlier by the author. It is shown that the equations possessing the nonlinear self-adjointness can be written equivalently in a strictly self-adjoint form by using appropriate multipliers. All linear equations possess the property of nonlinear self-adjointness, and hence can be rewritten in a nonlinear strictly self-adjoint. For example, the heat equation ut−Δu=0u_t - \Delta u = 0 becomes strictly self-adjoint after multiplying by u−1.u^{-1}. Conservation laws associated with symmetries can be constructed for all differential equations and systems having the property of nonlinear self-adjointness

    Ordinary differential equations which linearize on differentiation

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    In this short note we discuss ordinary differential equations which linearize upon one (or more) differentiations. Although the subject is fairly elementary, equations of this type arise naturally in the context of integrable systems.Comment: 9 page

    Pluripolarity of Graphs of Denjoy Quasianalytic Functions of Several Variables

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    In this paper we prove pluripolarity of graphs of Denjoy quasianalytic functions of several variables on the spanning se

    Extreme value statistics and return intervals in long-range correlated uniform deviates

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    We study extremal statistics and return intervals in stationary long-range correlated sequences for which the underlying probability density function is bounded and uniform. The extremal statistics we consider e.g., maximum relative to minimum are such that the reference point from which the maximum is measured is itself a random quantity. We analytically calculate the limiting distributions for independent and identically distributed random variables, and use these as a reference point for correlated cases. The distributions are different from that of the maximum itself i.e., a Weibull distribution, reflecting the fact that the distribution of the reference point either dominates over or convolves with the distribution of the maximum. The functional form of the limiting distributions is unaffected by correlations, although the convergence is slower. We show that our findings can be directly generalized to a wide class of stochastic processes. We also analyze return interval distributions, and compare them to recent conjectures of their functional form

    Cross-Modal Conceptualization in Bottleneck Models

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    Concept Bottleneck Models (CBMs) (Koh et al., 2020) assume that training examples (e.g., x-ray images) are annotated with high-level concepts (e.g., types of abnormalities), and perform classification by first predicting the concepts, followed by predicting the label relying on these concepts. The main difficulty in using CBMs comes from having to choose concepts that are predictive of the label and then having to label training examples with these concepts. In our approach, we adopt a more moderate assumption and instead use text descriptions (e.g., radiology reports), accompanying the images in training, to guide the induction of concepts. Our cross-modal approach treats concepts as discrete latent variables and promotes concepts that (1) are predictive of the label, and (2) can be predicted reliably from both the image and text. Through experiments conducted on datasets ranging from synthetic datasets (e.g., synthetic images with generated descriptions) to realistic medical imaging datasets, we demonstrate that cross-modal learning encourages the induction of interpretable concepts while also facilitating disentanglement. Our results also suggest that this guidance leads to increased robustness by suppressing the reliance on shortcut features.</p

    AR and MA representation of partial autocorrelation functions, with applications

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    We prove a representation of the partial autocorrelation function (PACF), or the Verblunsky coefficients, of a stationary process in terms of the AR and MA coefficients. We apply it to show the asymptotic behaviour of the PACF. We also propose a new definition of short and long memory in terms of the PACF.Comment: Published in Probability Theory and Related Field

    Multiple Hamiltonian structure of Bogoyavlensky-Toda lattices

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    This paper is mainly a review of the multi--Hamiltonian nature of Toda and generalized Toda lattices corresponding to the classical simple Lie groups but it includes also some new results. The areas investigated include master symmetries, recursion operators, higher Poisson brackets, invariants and group symmetries for the systems. In addition to the positive hierarchy we also consider the negative hierarchy which is crucial in establishing the bi--Hamiltonian structure for each particular simple Lie group. Finally, we include some results on point and Noether symmetries and an interesting connection with the exponents of simple Lie groups. The case of exceptional simple Lie groups is still an open problem.Comment: 65 pages, 67 reference

    Nonlocal aspects of λ\lambda-symmetries and ODEs reduction

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    A reduction method of ODEs not possessing Lie point symmetries makes use of the so called λ\lambda-symmetries (C. Muriel and J. L. Romero, \emph{IMA J. Appl. Math.} \textbf{66}, 111-125, 2001). The notion of covering for an ODE Y\mathcal{Y} is used here to recover λ\lambda-symmetries of Y\mathcal{Y} as nonlocal symmetries. In this framework, by embedding Y\mathcal{Y} into a suitable system Yâ€Č\mathcal{Y}^{\prime} determined by the function λ\lambda, any λ\lambda-symmetry of Y\mathcal{Y} can be recovered by a local symmetry of Yâ€Č\mathcal{Y}^{\prime}. As a consequence, the reduction method of Muriel and Romero follows from the standard method of reduction by differential invariants applied to Yâ€Č\mathcal{Y}^{\prime}.Comment: 13 page

    Symmetries of the near horizon of a Black Hole by Group Theoretic methods

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    We use group theoretic methods to obtain the extended Lie point symmetries of the quantum dynamics of a scalar particle probing the near horizon structure of a black hole. Symmetries of the classical equations of motion for a charged particle in the field of an inverse square potential and a monopole, in the presence of certain model magnetic fields and potentials are also studied. Our analysis gives the generators and Lie algebras generating the inherent symmetries.Comment: To appear in Int. J. Mod. Phys.
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