A study of stationarity and causality based on the theory of KM_2O-Langevin equations

基于KM_2O-Langevin方程理论的平稳性和因果性研究

• 批准号: 03452011
• 负责人: OKABE Yasunori
• 金额: $ 0.9万
• 依托单位: Hokkaido University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (B)
• 财政年份: 1991
• 资助国家: 日本
• 起止时间: 1991 至 1992
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-03452011/
• 关键词: The theory of KMO-Langevin equations; The theory of KM_2O-Langevin equations; Fluctuation-Dissipation-Theorem; Alder-Wainwright effect; Fluctuation-Dissipation-Principle; Non-linear prediction problem; Stationary Test; Causality Test; 非線型予測問題; KM

By developing the theory of KMO-Langevin equations describing the time evolution of one-dimensional weakly stationary processes with reflection positivity, we have obtained not only a unified mathematical embodiment of the fluctuation-dissipation-theorem, but also elucidated the mathematical structure of Alder-Wainwright effect.In the course of the project above, we have grasped a philosophy-the fluctuation- dissipation-principle-as a guiding principle for the attitude of research in applying pure mathematics to applied science. Further, we have developed the theory of KM_2O-Langevin equations for the multi-dimensional weakly stationary time series. We have applied the theory of KM_2O-Langevin equations to be able to resolve the non-linear prediction problem for the one-dimensional strictly stationary time series , by obtaining a computable algorithm for the non-linear predictor, which is submitted to J. Math. Soc. Japan.Moreover, as applications to data analysis, we are going to develop a new project which consisits of the four part: the stationary analysys, the causal analysys, the entropy analysys and the prediction analysis. A work concernig causal analysis is submitted to Nagoya Math. J.Our next aim is to search certain dynamics behind complex system like chaotic system and then predict its future, by using the project above.

通过发展KMO-LANGEVIN方程的理论，描述了具有反射阳性的一维弱静态过程的时间演变，我们不仅获得了波动 - 驱散性的统一数学体现，而且还阐明了对等级的数学效果，我们已经阐明了Alder-wainwield a的过程。指导原则，以将纯数学应用于应用科学时的研究态度。此外，我们为多维弱固定时间序列开发了KM_2O-LANGEVIN方程的理论。我们已经应用了KM_2O-LANGEVIN方程的理论来解决一维严格固定时间序列的非线性预测问题，通过获得可计算算法的非线性预测指标，该算法已提交给J. Math。 Soc。日本。此外，作为数据分析的应用，我们将开发一个新的项目，该项目同意这四个部分：固定分析，因果分析，熵分析和预测分析。因果分析的工作关注。 J.our下一个目标是搜索像混沌系统这样的复杂系统背后的某些动态，然后使用上面的项目来预测其未来。

项目成果

Y. Okabe: "Langevin equation and causality" Mathematics. 43. 34-58 (1991)

Y. Okabe：“朗之万方程和因果关系”数学。

Y.Okabe: "The theory of KM_2OーLangeuin equations and its applications to data analysis(I):Stationary analysis" Hokkaido Mathematical Journal. 20. 45-90 (1991)

Y.Okabe：“KM_2O-Langeuin方程的理论及其在数据分析中的应用（I）：平稳分析”北海道数学杂志20. 45-90（1991）。

Y.Okabe: "Applications of the theory of KM_2O-Langevin equations to the linear prediction problem for the multi-dimensional weakly stationary time series" J.Math.Soc.Japan.

Y.Okabe：“KM_2O-Langevin 方程理论在多维弱平稳时间序列线性预测问题中的应用”J.Math.Soc.Japan。

Y. Okabe: "Langevin equations and causal analysis" Sugaku Expositions in Amer. Math. Soc.

Y. Okabe：“朗之万方程和因果分析”美国 Sugaku Expositions。

Y.Okabe: "Langevin equations and causal analysis" Sugaku Expositions in Amer.Math.Soc.

Y.Okabe：“Langevin 方程和因果分析”Amer.Math.Soc 中的 Sugaku Expositions。