By David Ruelle

Give some thought to an area $M$, a map $f:M\to M$, and a functionality $g:M \to {\mathbb C}$. The formal energy sequence $\zeta (z) = \exp \sum ^\infty _{m=1} \frac {z^m}{m} \sum _{x \in \mathrm {Fix}\,f^m} \prod ^{m-1}_{k=0} g (f^kx)$ yields an instance of a dynamical zeta functionality. Such features have unforeseen analytic homes and engaging relatives to the idea of dynamical structures, statistical mechanics, and the spectral idea of definite operators (transfer operators). the 1st a part of this monograph provides a common advent to this topic. The moment half is an in depth examine of the zeta capabilities linked with piecewise monotone maps of the period $[0,1]$. In specific, Ruelle supplies an evidence of a generalized type of the Baladi-Keller theorem concerning the poles of $\zeta (z)$ and the eigenvalues of the move operator. He additionally proves a theorem expressing the biggest eigenvalue of the move operator in phrases of the ergodic homes of $(M,f,g)$.

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By integrating by parts twice, we find (for α > 1) that d 1 Hα [u] = dt α−1 T u α−1 ∂t udx = = −(α + β − 2) T T u α+β−2 u x x x u x dx u α+β−3 u 2x u x x dx − T u α+β−2 u 2x x dx. 3) The last integral has already a good sign. For the first integral, we observe that u 2x u x x = 13 u 3x and integrate by parts again: 1 d Hα [u] = − (α + β − 2)(α + β − 3) dt 3 T u α+β−4 u 4x dx − T u α+β−2 u 2x x dx. Thus, Hα [u] is a Lyapunov functional for the thin-film equation if (α + β − 2)(α + β − 3) ≥ 0 or 2 ≤ α + β ≤ 3.

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The self-similar solution in the rescaled variables can be written as (2t + 1)d/2 U (x, t) = (2π )d/2 e−|y| 2 /2 =: v∞ (y). 16). 1 shows that v(s) − v∞ L 1 (Rd ) ≤ 2H[u 0 ]e−s , s > 0. 17) It remains to transform√back to the original variables. The substitutions y = (2t + 1)−1/2 x and s = log 2t + 1 lead to v(s) − v∞ (s) L 1 (Rd ) = u(t) − U (t) 2H[u 0 ]e−s = L 1 (Rd ) , 2H[u 0 ](2t + 1)−1/2 . 17) finishes the proof. , [3, 13, 18, 19, 29]. 5 Nonlinear Fokker–Planck Equations One of the strengths of the Bakry–Emery approach is its robustness against model variations.

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