Analysis and Simulation of Chaotic Systems (2nd Edition) by Frank C. Hoppensteadt

By Frank C. Hoppensteadt

Starting with sensible mathematical or verbal versions of actual or organic phenomena, the writer derives tractable types for extra mathematical research or desktop simulations. For the main half, derivations are according to perturbation equipment, and the vast majority of the textual content is dedicated to cautious derivations of implicit functionality theorems, the strategy of averaging, and quasi-static country approximation tools. The duality among balance and perturbation is constructed and used, depending seriously at the proposal of balance less than power disturbances. correct subject matters approximately linear platforms, nonlinear oscillations, and balance tools for distinction, differential-delay, integro-differential and usual and partial differential equations are built during the publication. For the second one variation, the writer has restructured the chapters, putting distinct emphasis on introductory fabrics in Chapters 1 and a couple of as special from presentation fabrics in Chapters three via eight. moreover, extra fabric on bifurcations from the perspective of canonical versions, sections on randomly perturbed platforms, and a number of other new laptop simulations were additional.

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The following theorem is very useful for studying periodic systems. Let Φ be as described above. Then there is a periodic matrix P (t), having period T , and a constant matrix R such that Φ(t) = P (t) exp(Rt). Proof of Floquet’s Theorem. If Φ(t) is a fundamental matrix of the problem, then so is Φ(t + T ). Moreover, calculation shows that d −1 Φ = −Φ−1 (t)Φ (t)Φ−1 (t). dt Therefore, d −1 [Φ (t)Φ(t + T )] = 0. 4. Linear Systems with Periodic Coefficients 13 such that Φ(t + T ) = Φ(t)C for all t. This is the key observation on which further developments are based.

Overlap regions. If the data are in the doubly shaded regions, then both the up and down positions of the pendulum are stable. In this case, a small perturbation of the pendulum from the straight up position persists, but the pendulum remains nearly straight up for all future times. 5, then both the up and the down positions of the pendulum are stable. If the pendulum is damped, then the linear equations are dx d2 x ± +r 2 dt dt g Lω 2 − A cos t x = 0, L respectively. Setting x = exp(−rt/2)y in each of these equations gives d2 y ± dt2 g Lω 2 − A cos t ∓ L r 2 2 y = 0, respectively.

22 1. Linear Systems If the forcing is resonant, that is, if λj /iω = k for some integers k and j for which Ck = 0, then the corresponding term in the solution has the form t 0 Ck exp[λj (t − s) + ikωs]dsPj = Ck t exp(iωkt)Pj . The resonance case occurs when the forcing function has a frequency that matches one of the free frequencies of the problem, that is, one of the eigenvalues of A. Subresonant forcing occurs when one of the frequencies of g matches an integer multiple of one of the free frequencies.

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