The asymptotics of eigenvalues of a differential operator in the stochastic models with 'white noise'

Galiya Zakirova; Natalia Manakova; Georgy Sviridyuk

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The asymptotics of eigenvalues of a differential operator in the stochastic models with 'white noise'

机译：具有“白噪声”的随机模型中微分算子特征值的渐近性

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《Applied mathematical sciences》 |2014年第175期|共8页
作者
Galiya Zakirova; Natalia Manakova; Georgy Sviridyuk;
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中图分类数学;
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1. ASYMPTOTICS OF THE EIGENVALUES OF SELF-ADJOINT FOURTH ORDER DIFFERENTIAL OPERATORS WITH SEPARATED EIGENVALUE PARAMETER DEPENDENT BOUNDARY CONDITIONS [J] . Moller Manfred, Zinsou Bertin The Rocky Mountain journal of mathematics . 2017,第6期

机译：分离特征值参数依赖边界条件的自伴四阶四阶差分运营商特征值的渐近学
2. WICK PRODUCT OF WHITE NOISE OPERATORS AND QUANTUM STOCHASTIC DIFFERENTIAL EQUATIONS [J] . NOBUAKI OBATA Journal of the Mathematical Society of Japan . 1999,第3期

机译：白噪声算子和量子随机微分方程的维积
3. Spectral Asymptotics of Self-Adjoint Fourth Order Differential Operators with Eigenvalue Parameter Dependent Boundary Conditions [J] . M?ller M., Zinsou B. Complex analysis and operator theory . 2012,第3期

机译：特征值参数相关边界条件的自伴四阶微分算子的谱渐近性
4. QUANTUM WHITE NOISE DERIVATIVES AND ASSOCIATED DIFFERENTIAL EQUATIONS FOR WHITE NOISE OPERATORS [C] . Un Cig Ji, Nobuaki Obata Conference Quantum Probability and Infinite Dimensional Analysis . 2010

机译：白噪声运算符的量子白噪声衍生物和相关微分方程
5. Eigenvalue asymptotics for self-adjoint, fourth-order, ordinary differential operators [D] . Schueller, Albert William, III 1996

机译：自伴四阶常微分算子的特征值渐近性
6. On the asymptotic eigenvalue distribution of a pseudo-differential operator [O] . C. Fefferman, D. H. Phong 1980

机译：伪微分算子的渐近特征值分布
7. Wick Product of White Noise Operators and Its Application to Quantum Stochastic Differential Equations(Quantum Stochastic Analysis and Related Fields) [O] . OBATA NOBUAKI 1996

机译：白噪声算子的威克积及其在量子随机微分方程中的应用（量子随机分析及相关领域）
8. A Method of Treating Some Stochastic Differential Equations Involving White Noise [R] . Ruymgaart, P. A., Soong, T. T. 1968

机译：一类涉及白噪声的随机微分方程的处理方法

The asymptotics of eigenvalues of a differential operator in the stochastic models with 'white noise'

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