Spectral Theory for Random and Nonautonomous Parabolic Equations and Applications

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A01=Janusz Mierczynski
A01=Wenxian Shen
Author_Janusz Mierczynski
Author_Wenxian Shen
banach
Banach Space
Borel Set
Boundary Condition Case
Category=PBKF
compact
Compact Flow
cooperative dynamical systems
Dirichlet Boundary Conditions
eigenvalue
elliptic operator theory
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Ergodic Invariant Measure
Exponential Separation
Faber-Krahn inequality
flow
Global Attractor
harnack
inequalities
invariant
Kolmogorov equations
Kolmogorov Type
Lim Inf
Lyapunov exponents
M1 C4
Mild Solutions
Multiplicative Ergodic Theorem
Nondivergence Form
Open Compact Topology
Parabolic Equations
Positive Weak Solution
principal
Principal Eigenfunction
Principal Eigenvalue
principal spectrum in parabolic systems
Robin Boundary Condition
Robin Case
Satisfies Property
set
space
Tn Sn
Uniform Persistence
Weak Solution
weak solution analysis

Product details

  • ISBN 9781584888956
  • Weight: 612g
  • Dimensions: 156 x 234mm
  • Publication Date: 24 Mar 2008
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Providing a basic tool for studying nonlinear problems, Spectral Theory for Random and Nonautonomous Parabolic Equations and Applications focuses on the principal spectral theory for general time-dependent and random parabolic equations and systems. The text contains many new results and considers existing results from a fresh perspective.

Taking a clear, unified, and self-contained approach, the authors first develop the abstract general theory in the framework of weak solutions, before turning to cases of random and nonautonomous equations. They prove that time dependence and randomness do not reduce the principal spectrum and Lyapunov exponents of nonautonomous and random parabolic equations. The book also addresses classical Faber–Krahn inequalities for elliptic and time-periodic problems and extends the linear theory for scalar nonautonomous and random parabolic equations to cooperative systems. The final chapter presents applications to Kolmogorov systems of parabolic equations.

By thoroughly explaining the spectral theory for nonautonomous and random linear parabolic equations, this resource reveals the importance of the theory in examining nonlinear problems.

Mierczynski, Janusz; Shen, Wenxian

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