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020 _a9789819755202
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024 7 _a10.1007/978-981-97-5520-2
_2doi
050 4 _aQA843-871
072 7 _aGPFC
_2bicssc
072 7 _aMAT034000
_2bisacsh
072 7 _aGPFC
_2thema
100 1 _aDoan, Thai Son.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_989721
245 1 0 _aSpectral Theory of Nonautonomous Dynamical Systems and Applications
_h[electronic resource] /
_cby Thai Son Doan.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aXVII, 188 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _achapter 1 spectral theory of nonautonomous differential equations -- chapter 2 linearization for nonautonomous differential equations -- chapter 3 spectral theory for random dynamical systems -- chapter 4 genericity of lyapunov spectrum of random dynamical systems -- chapter 5 pitchfork and hopf bifurcation under additive noise.
520 _aThe main challenge in the study of nonautonomous phenomena is to understand the very complicated dynamical behaviour both as a scientific and mathematical problem. The theory of nonautonomous dynamical systems has experienced a renewed and steadily growing interest in the last twenty years, stimulated also by synergetic effects of disciplines which have developed relatively independent for some time such as topological skew product, random dynamical systems, finite-time dynamics and control systems. The book provides new insights in many aspects of the qualitative theory of nonautonomous dynamical systems including the spectral theory, the linearization theory, the bifurcation theory. The book first introduces several important spectral theorem for nonautonomous differential equations including the Lyapunov spectrum, Sacker-Sell spectrum and finite-time spectrum. The author also establishes the smooth linearization and partial linearization for nonautonomous differential equations in application part. Then the second part recalls the multiplicative ergodic theorem for random dynamical systems and discusses several explicit formulas in computing the Lyapunov spectrum for random dynamical systems generated by linear stochastic differential equations and random difference equations with random delay. In the end, the Pitchfork bifurcation and Hopf bifurcation with additive noise are investigated in terms of change of the sign of Lyapunov exponents and loss of topological equivalence. This book might be appealing to researchers and graduate students in the field of dynamical systems, stochastic differential equations, ergodic theory.
650 0 _aDynamical systems.
650 0 _aDifferential equations.
650 0 _aStochastic processes.
_976770
650 1 4 _aDynamical Systems.
650 2 4 _aDifferential Equations.
650 2 4 _aStochastic Processes.
_976770
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819755196
776 0 8 _iPrinted edition:
_z9789819755219
776 0 8 _iPrinted edition:
_z9789819755226
856 4 0 _uhttps://doi.org/10.1007/978-981-97-5520-2
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
999 _c66114
_d66114