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ε-随机规范形 被引量:1

Normal Form Theory for Random Differential Equations withParameters in Probability Engineering Mechanics
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摘要 同确定性规范形理论相比,随机规范形理论涉及无穷维的讨论。本文提出随机普适形变、带参数随机规范形等概念。 There does not exist, to our best knowledge, any paper on the normal form theory of random differential equations with parameters. We succeeded in deriving theoretically such normal form. We obtained proof for eq.(8), which is different from what is generally employed in probability engineering mechanics. R(L m A) in eq.(8) means R(L m A) plus R(L m A) , but R(L m A) is generally disregarded in probability engineering mechanics. R(L m A) consists of the boundary points of R(L m A) . Now we present our mathematics. We discussed the normal forms of random matrices with parameters. We gave definitions of versal deformation and normal deformation respectively and proved eq.(6). We gave a definition of normal forms with parameters. For random differential equations, eq.(1), and for ε>0,2≤m≤r , we proved that there was a near identity random coordinate transformation x=h(θ tω,y,μ) with T mh∈L 2 m, 2≤m≤r, such that eq.(1) had normal form, eq.(9), by using L 2 m= R(L m A) N((L m A) ). Normal form can be very useful in analyzing nonlinear systems as it can greatly simplify them. Normal form theorem, eq.(11), is a sound theoretical base for application analysis of stochastic bifurcation.
机构地区 西北工业大学
出处 《西北工业大学学报》 EI CAS CSCD 北大核心 1997年第2期278-282,共5页 Journal of Northwestern Polytechnical University
基金 国家自然科学基金
关键词 随机普适形变 随机规范形 随机分叉 随机向量场 versal deformation, normal form with parameters, stochastic bifurcation
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同被引文献8

  • 1Knobloch E, Wiessenfeld KA. Bifurcation in fluctuating systems: the center manifold approach. Journal of Statistical Physics, 1983, 33(4): 612~637
  • 2Coullet PH, Elphick C, Tircepegui E. Normal form of a Hopf bifurcation with noise. Physics Letters, 1985, 111A(6): 277~282
  • 3Sri Namachchivaya N, Leng G. Equivalence of stochastic averaging and stochastic normal forms. Journal of Applied Mechanics, 1990, 57(4): 1011~1017
  • 4Sri Namachchivaya N, Lin YK. Method of stochastic normal forms. Int J Non-linear Mechanics, 1991, 26(6):931~943
  • 5Arnold L, Xu, Kedai. Normal forms for random diffeomorphisms. J of Dynamics and Differential Equations, 1992,4:445~483
  • 6Arnold L, Xu, Kedai. Normal forms for random differential equations. J of Differential Equations, 1995, 116:484~503
  • 7Hijawi M, Moshchuk N, Ibrahim RA. Unified second-order stochastic averaging approach. Journal of Applied Mechanics, 1997, 64:975~984
  • 8Zhu WQ, Lin YK. Stochastic averaging of energy envelope.J Engng Mech ASCE, 1991, 117:1890~1905

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