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Mixed principal eigenvalues in dimension one

机译:第一维中的混合主特征值

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摘要

This is one of a series of papers exploring the stability speed of one-dimensional stochastic processes. The present paper emphasizes on the principal eigenvalues of elliptic operators. The eigenvalue is just the best constant in the L~2-Poincare inequality and describes the decay rate of the corresponding diffusion process. We present some variational formulas for the mixed principal eigenvalues of the operators. As applications of these formulas, we obtain case by case explicit estimates, a criterion for positivity, and an approximating procedure for the eigenvalue.
机译:这是探讨一维随机过程稳定速度的一系列论文之一。本文着重介绍了椭圆算子的主要特征值。特征值只是L〜2-Poincare不等式中的最佳常数,它描述了相应扩散过程的衰减率。我们给出了算子混合本征值的一些变分公式。作为这些公式的应用,我们逐例获得了显式估计,正性准则以及特征值的近似过程。

著录项

  • 来源
    《Frontiers of mathematics in China》 |2013年第2期|317-343|共27页
  • 作者单位

    School of Mathematical Sciences, Beijing Normal University, Laboratory of Mathematics and Complex Systems (Beijing Normal University), Ministry of Education, Beijing 100875, China;

    School of Mathematical Sciences, Beijing Normal University, Laboratory of Mathematics and Complex Systems (Beijing Normal University), Ministry of Education, Beijing 100875, China;

    School of Mathematical Sciences, Beijing Normal University, Laboratory of Mathematics and Complex Systems (Beijing Normal University), Ministry of Education, Beijing 100875, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Eigenvalue; variational formula; explicit estimate; positivity criterion; approximating procedure;

    机译:特征值;变式明确的估计;阳性标准;近似程序;

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