gi ren liu (8 risultati)

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Partial Differential Equations with Random Initial Data | Gi-Ren Liu | Taschenbuch | 148 S. | Englisch | 2014 | Scholars' Press | EAN 9783639704761 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We study the limiting distributions of the solution of fractional diffusion-wave systems with subordinated Gaussian random initial data. In our work, we use homogeneous random field to model the initial data and apply the spectral representation method and multiple Wiener integrals to studying the covariance matrix functions of the random solution. The limiting distributions of the solution are obtained from different viewpoints including macroscopic scales and microscopic scales. When the initial data is weakly dependent, our results can be thought of as a generalized central limit theorem. There are two key points for this new result. The first one is that the initial data is modeled by two cross-correlated random fields, which is analyzed by the method of Feynman diagrams. Second, the limit of the solution under the macroscopic/microscopic coordinate systems is represented by a series of mutually independent Gaussian random fields. When the initial data is long-range dependent. We found a competition relationship between the effects coming from the components of the random initial data, i.e., the limiting distribution of the solution is determined by one of the components. 148 pp. Englisch.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -We study the limiting distributions of the solution of fractional diffusion-wave systems with subordinated Gaussian random initial data. In our work, we use homogeneous random field to model the initial data and apply the spectral representation method and multiple Wiener integrals to studying the covariance matrix functions of the random solution. The limiting distributions of the solution are obtained from different viewpoints including macroscopic scales and microscopic scales. When the initial data is weakly dependent, our results can be thought of as a generalized central limit theorem. There are two key points for this new result. The first one is that the initial data is modeled by two cross-correlated random fields, which is analyzed by the method of Feynman diagrams. Second, the limit of the solution under the macroscopic/microscopic coordinate systems is represented by a series of mutually independent Gaussian random fields. When the initial data is long-range dependent. We found a competition relationship between the effects coming from the components of the random initial data, i.e., the limiting distribution of the solution is determined by one of the components.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We study the limiting distributions of the solution of fractional diffusion-wave systems with subordinated Gaussian random initial data. In our work, we use homogeneous random field to model the initial data and apply the spectral representation method and multiple Wiener integrals to studying the covariance matrix functions of the random solution. The limiting distributions of the solution are obtained from different viewpoints including macroscopic scales and microscopic scales. When the initial data is weakly dependent, our results can be thought of as a generalized central limit theorem. There are two key points for this new result. The first one is that the initial data is modeled by two cross-correlated random fields, which is analyzed by the method of Feynman diagrams. Second, the limit of the solution under the macroscopic/microscopic coordinate systems is represented by a series of mutually independent Gaussian random fields. When the initial data is long-range dependent. We found a competition relationship between the effects coming from the components of the random initial data, i.e., the limiting distribution of the solution is determined by one of the components.