On averaged and normal form equations
โ Scribed by P. R. Sethna
- Publisher
- Springer Netherlands
- Year
- 1995
- Tongue
- English
- Weight
- 469 KB
- Volume
- 7
- Category
- Article
- ISSN
- 0924-090X
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โฆ Synopsis
The method of averaging has long been an important method for the analysis of nonlinear systems. One method using normal forms has more recently become a tool in applied mathematics. Both methods convert systems of ordinary differential equations to simpler equations by using a sequence of change of variables. This study can be interpreted as a local analysis in that it treats equations that are nonlinear perturbations of linear equations. We show that the two methods are essentially equivalent.
๐ SIMILAR VOLUMES
Given a dynamical system \(\left(\Omega, \mathscr{F}, P, Q_{1}\right)\) and a random differential equation \(\dot{x}=f\left(\theta,(\omega, x)\right.\) in \(\mathbb{R}^{d}\) with \(f(\omega, 0)=0\) a.s. The normal form problem is to construct a smooth near identity nonlinear random coordinate transf
we extend Henry Poincare's normal form theory for autonomous difference equations "k+l = f(xk) to nonautonomous difference equations zk+r = fk(zk). Poincare's nonresonance condition Xj -nz, Xpi # 0 for eigenvalues is generalized to the new nonresonance condition Xj n nbl Xy = 0 for spectral interval