Long-time asymptotics for polymerization models

نویسندگان

  • Juan Calvo
  • Marie Doumic
  • Benoît Perthame
  • Benôıt Perthame
چکیده

This study is devoted to the long-term behavior of nucleation, growth and fragmentation equations, modeling the spontaneous formation and kinetics of large polymers in a spatially homogeneous and closed environment. Such models are, for instance, commonly used in the biophysical community in order to model in vitro experiments of fibrillation. We investigate the interplay between four processes: nucleation, polymerization, depolymerization and fragmentation. We first revisit the well-known Lifshitz-Slyozov model, which takes into account only polymerization and depolymerization, and we show that, when nucleation is included, the system goes to a trivial equilibrium: all polymers fragmentize, going back to very small polymers. Taking into account only polymerization and fragmentation, modeled by the classical growth-fragmentation equation, also leads the system to the same trivial equilibrium, whether or not nucleation is considered. However, also taking into account a depolymerization reaction term may surprisingly stabilize the system, since a steady size-distribution of polymers may then emerge, as soon as polymerization dominates depolymerization for large sizes whereas depolymerization dominates polymerization for smaller ones a case which fits the classical assumptions for the Lifshitz-Slyozov equations, but complemented with fragmentation so that ”Ostwald ripening” does not happen. AMS Class. No. 35B40; 35R09; 35Q92; 82D60

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Asymptotics for the infinite time ruin probability of a dependent risk model with a constant interest rate and dominatedly varying-tailed claim sizes

 This paper mainly considers a nonstandard risk model with a constant interest rate‎, ‎where both the claim sizes and the inter-arrival times follow some certain dependence structures‎. ‎When the claim sizes are dominatedly varying-tailed‎, ‎asymptotics for the infinite time ruin probability of the above dependent risk model have been given‎.

متن کامل

Long Time Asymptotics for Some Dynamical Noise Free Non-Linear Filtering Problems, New Cases.

Long time asymptotics for some dynamical noise free non-linear filtering problems, new cases. Long time asymptotics for some dynamical noise free non-linear ltering problems, new cases.

متن کامل

Intermediate asymptotics beyond homogeneity and self-similarity: long time behavior for ut = ∆φ(u)

We investigate the long time asymptotics in L+(R) for solutions of general nonlinear diffusion equations ut = ∆φ(u). We describe, for the first time, the intermediate asymptotics for a very large class of non-homogeneous nonlinearities φ for which long time asymptotics cannot be characterized by self-similar solutions. Scaling the solutions by their own second moment (temperature in the kinetic...

متن کامل

Long Distance Correlation Structure of Intermittency in Parabolic Anderson Models

We study the long distance correlation structure of intermittency in par-abolic Anderson models. We use the Green's function formulation and the analytical frame work established in W1-4]. Contrary to the case in W1-4], this is the regime of large uctuations. We prove that for a suitable class of probability distributions, the higher moments of the Green's functions do not decay faster than the...

متن کامل

Supplement to “reconstructing past Temperatures from Natural Proxies and Estimated Climate Forcings Using Short- and Long-memory

A.1. Background on long memory models. As mentioned in the introduction, long-memory estimation is typically difficult both in theory and in practice; fundamental stochastic analysis research on this question is ongoing. In discrete time series, the long-memory autoregressive moving average (ARMA) and autoregressive conditional heteroskedasticity (ARCH) models that are popular in financial econ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2018