The stationary AKPZ equation: Logarithmic superdiffusivity
The stationary AKPZ equation: Logarithmic superdiffusivity
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平稳 AKPZ 方程:对数超扩散率
DOI:
10.1002/cpa.22108
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发表时间:
2023
影响因子:
3
通讯作者:
Cannizzaro G
中科院分区:
文献类型:
--
作者:
Cannizzaro G
We study the two‐dimensional Anisotropic KPZ equation (AKPZ) formally given by ∂tH=12ΔH+λ((∂1H)2−(∂2H)2)+ξ,$$\begin{equation*} \hspace*{3.4pc}\partial _t H=\frac{1}{2}\Delta H+\lambda ((\partial _1 H)^2-(\partial _2 H)^2)+\xi , \end{equation*}$$where ξ is a space‐time white noise and λ is a strictly positive constant. While the classical two‐dimensional KPZ equation, whose nonlinearity is |∇H|2=(∂1H)2+(∂2H)2$|\nabla H|^2=(\partial _1 H)^2+(\partial _2 H)^2$, can be linearised via the Cole‐Hopf transformation, this is not the case for AKPZ. We prove that the stationary solution to AKPZ (whose invariant measure is the Gaussian Free Field (GFF)) is superdiffusive: its diffusion coefficient diverges for large times as logt$\sqrt {\mathop {\mathrm{log}}\nolimits t}$ up to loglogt$\mathop {\mathrm{log}}\nolimits \mathop {\mathrm{log}}\nolimits t$ corrections, in a Tauberian sense. Morally, this says that the correlation length grows with time like t1/2×(logt)1/4$t^{1/2}\times (\mathop {\mathrm{log}}\nolimits t)^{1/4}$. Moreover, we show that if the process is rescaled diffusively (t→t/ε2,x→x/ε,ε→0$t\rightarrow t/\varepsilon ^2, x\rightarrow x/\varepsilon , \varepsilon \rightarrow 0$), then it evolves non‐trivially already on time‐scales of order approximately 1/|logε|≪1$1/\sqrt {|\mathop {\mathrm{log}}\nolimits \varepsilon |}\ll 1$. Both claims hold as soon as the coefficient λ of the nonlinearity is non‐zero. These results are in contrast with the belief, common in the mathematics community, that the AKPZ equation is diffusive at large scales and, under simple diffusive scaling, converges to the two‐dimensional Stochastic Heat Equation (2dSHE) with additive noise (i.e., the case λ=0$\lambda =0$).
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DOI:
10.1142/9789813272880_0158
发表时间:
2017-11
期刊:
Proceedings of the International Congress of Mathematicians (ICM 2018)
影响因子:
--
作者:
F. Toninelli
通讯作者:
F. Toninelli
DOI:
10.1214/20-aop1446
发表时间:
2021
期刊:
The Annals of Probability
影响因子:
--
作者:
Cannizzaro G
通讯作者:
Cannizzaro G
DOI:
--
发表时间:
2011
期刊:
影响因子:
--
作者:
M. Balázs;J. Quastel;T. Seppäläinen
通讯作者:
T. Seppäläinen
DOI:
10.1007/s40072-022-00283-5
发表时间:
2023-01
期刊:
Stochastics and Partial Differential Equations: Analysis and Computations
影响因子:
--
作者:
G. Cannizzaro;Jacek Kiedrowski
通讯作者:
G. Cannizzaro;Jacek Kiedrowski
DOI:
--
发表时间:
2010
期刊:
影响因子:
--
作者:
Ivan Corwin;J. Quastel
通讯作者:
J. Quastel