Contents
Preface vii
Introduction ix
Chapter 1. Heuristics of noise induced transitions 1
1.1. Energy balance models of climate dynamics 1
1.2. Heuristics of our mathematical approach 6
1.3. Markov chains for the effective dynamics and the physical paradigm
of spectral power amplification 14
1.4. Diffusions with continuously varying potentials 18
1.5. Stochastic resonance in models from electronics to biology 21
Chapter 2. Transitions for time homogeneous dynamical systems with small
noise 27
2.1. Brownian motion via Fourier series 28
2.2. The large deviation principle 37
2.3. Large deviations for Brownian motion 44
2.4. The Freidlin–Wentzell theory 50
2.5. Diffusion exit from a domain 59
Chapter 3. Semiclassical theory of stochastic resonance in dimension 1 69
3.1. Freidlin’s quasi-deterministic motion 69
3.2. The reduced dynamics: stochastic resonance in two-state Markov
chains 78
3.3. Spectral analysis of the infinitesimal generator of small noise diffusion 91
3.4. Semiclassical approach to stochastic resonance 114
Chapter 4. Large deviations and transitions between meta-stable states of
dynamical systems with small noise and weak inhomogeneity 133
4.1. Large deviations for diffusions with weakly inhomogeneous coefficients134
4.2. A new measure of periodic tuning induced by Markov chains 144
4.3. Exit and entrance times of domains of attraction 154
4.4. The full dynamics: stochastic resonance in diffusions 169
Appendix A. Supplementary tools 177
Appendix B. Laplace’s method 179
Bibliography 183
Index 189
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