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【期刊论文】ESTIMATION OF THE FIRST EIGENVALUE OF SECOND ORDER ELLIPTIC OPERATORS
陈木法, Mu-Fa Chen and Feng-Yu Wang
J. Funct. Anal. 131: 2 (1995), 345-363,-0001,():
-1年11月30日
This note studies the first non-trivial eigenvalue of second order self-adjoint elliptic operators in Rd. Some lower bounds of the eigenvalue are obtained by using a probabilistic approach and some geometric consideration. In one-dimensional case, an analytic proof is also presented. The resulting bounds can be sharp.
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【期刊论文】APPLICATION OF COUPLING METHOD TO THE FIRST EIGENVALUE ON MANIFOLD
陈木法, Mu-Fa Chen and Feng-Yu Wang
Science in China (A) 37: 1(1994), 1-14,-0001,():
-1年11月30日
By using a coupling technique, this paper presents some lower bounds of the first eigenvalue
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【期刊论文】ON ERGODIC REGION OF SCHL
陈木法, Mu-Fa Chen
,-0001,():
-1年11月30日
One challenging problem in the context of reaction-diffusions is to prove the ergodicity or non-ergodicity for the Schl
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【期刊论文】OPTIMAL MARKOVIAN COUPLINGS AND APPLICATIONS
陈木法, Mu-Fa Chen
Acta Math. Sinica (New Series), 10: 3, 260-275, 1994,-0001,():
-1年11月30日
This paper is devoted to studying a new topic: optimal Markovian couplings, mainly for time-continuous Markov processes. The study emphasizes the analysis of the coupling operators rather than the processes. Some constructions of optimal Markovian couplings for Markov chains and diffusions are presented, which are often unexpected. Then, the results are applied to study the L2-convergence for Markov chains and for a diffusion on compact manifold. The estimate of the convergent rate provided by this method can be sharp.
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【期刊论文】ESTIMATION OF SPECTRAL GAP FOR ELLIPTIC OPERATORS
陈木法, Mu-Fa Chen and Feng-Yu Wang
Trans. Amer. Math. Soc. 349: 3 (1997), 1239-1267,-0001,():
-1年11月30日
A variational formula for the lower bound of the spectral gap of an elliptic operator is presented in the paper for the first time. The main known results are either recovered or improved. A large number of new examples with sharp estimate are illustrated. Moreover, as an application of the march coupling[4], the Poincare inequality with respect to the absolute distribution of the process is also
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