Homogenization Theory: Periodic and Beyond (online meeting)

The objective of the workshop has been to review the latest developments in homogenization theory for a large category of equations and settings arising in the modeling of solid, fluids, wave propagation, heterogeneous media, etc. The topics approached have covered periodic and nonperiodic deterministic homogenization, stochastic homogenization, regularity theory, derivation of wall laws and detailed study of boundary layers,..

Homogenization of nonlinear stochastic partial differential equations in a general ergodic environment

In this paper, we show that the concept of sigma-convergence associated to stochastic processes can tackle the homogenization of stochastic partial differential equations. In this regard, the homogenization problem for a stochastic nonlinear partial differential equation is studied. Using some deep compactness results such as the Prokhorov and Skorokhod theorems, we prove that the sequence of solutions of this problem converges in probability towards the solution of an equation of the same type. To proceed with, we use a suitable version of sigma-convergence method, the sigma-convergence for stochastic processes, which takes into account both the deterministic and random behaviours of the solutions of the problem. We apply the homogenization result to some concrete physical situations such as the periodicity, the almost periodicity, the weak almost periodicity, and others.Comment: To appear in: Stochastic Analysis and Application

Reduction Methods in Climate Dynamics -- A Brief Review

We review a range of reduction methods that have been, or may be useful for connecting models of the Earth's climate system of differing complexity. We particularly focus on methods where rigorous reduction is possible. We aim to highlight the main mathematical ideas of each reduction method and also provide several benchmark examples from climate modelling

On operator estimates in homogenization of nonlocal operators of convolution type

The paper studies a bounded symmetric operator ${\mathbf{A}}_\varepsilon$ in $L_2(\mathbf{R}^d)$ with $$({\mathbf{A}}_\varepsilon u) (x) = \varepsilon^{-d-2} \int_{\mathbf{R}^d} a((x-y)/\varepsilon) \mu(x/\varepsilon, y/\varepsilon) \left( u(x) - u(y) \right)\,dy;$$ here $\varepsilon$ is a small positive parameter. It is assumed that $a(x)$ is a non-negative $L_1(\mathbf{R}^d)$ function such that $a(-x)=a(x)$ and the moments $M_k =\int_{\mathbf{R}^d} |x|^k a(x)\,dx$, $k=1,2,3$, are finite. It is also assumed that $\mu(x,y)$ is $\mathbf{Z}^d$-periodic both in $x$ and $y$ function such that $\mu(x,y) = \mu(y,x)$ and $0< \mu_- \leq \mu(x,y) \leq \mu_+< \infty$. Our goal is to study the limit behaviour of the resolvent $({\mathbf{A}}_\varepsilon + I)^{-1}$, as $\varepsilon\to0$. We show that, as $\varepsilon \to 0$, the operator $({\mathbf{A}}_\varepsilon + I)^{-1}$ converges in the operator norm in $L_2(\mathbf{R}^d)$ to the resolvent $({\mathbf{A}}^0 + I)^{-1}$ of the effective operator ${\mathbf{A}}^0$ being a second order elliptic differential operator with constant coefficients of the form ${\mathbf{A}}^0= - \operatorname{div} g^0 \nabla$. We then obtain sharp in order estimates of the rate of convergence

A two-scale model of two-phase ow in porous media ranging from porespace to the macro scale

We will derive two-scale models for two-phase flow in porous media, with the microscale given by the porescale. The resulting system will account for balance of mass, momentum and energy. To this aim, we will combine a generalization of Rajagopal’s and Srinivasa’s assumption of maximum rate of entropy production [39, 20, 21] with formal asymptotic expansion. The microscopic model will be based on phase fields, in particular to the full Cahn-Hilliard-Navier- Stokes-Fourier model derived in [23] with the boundary conditions from [20]. Using a generalized notion of characteristic functions, we will show that the solutions to the two-scale model macroscopically behave like classical solutions to a system of porous media flow equations. Relative permeabilities and capillary pressure relations are outcomes of the theory and exist only for special cases. Therefore, the two-scale model can be considered as a true generalization of classical models providing more information on the microscale thereby making the introduction of hysteresis superfluous

Interplay of Theory and Numerics for Deterministic and Stochastic Homogenization

The workshop has brought together experts in the broad field of partial differential equations with highly heterogeneous coefficients. Analysts and computational and applied mathematicians have shared results and ideas on a topic of considerable interest both from the theoretical and applied viewpoints. A characteristic feature of the workshop has been to encourage discussions on the theoretical as well as numerical challenges in the field, both from the point of view of deterministic as well as stochastic modeling of the heterogeneities

Recent Advances in Industrial and Applied Mathematics

This open access book contains review papers authored by thirteen plenary invited speakers to the 9th International Congress on Industrial and Applied Mathematics (Valencia, July 15-19, 2019). Written by top-level scientists recognized worldwide, the scientific contributions cover a wide range of cutting-edge topics of industrial and applied mathematics: mathematical modeling, industrial and environmental mathematics, mathematical biology and medicine, reduced-order modeling and cryptography. The book also includes an introductory chapter summarizing the main features of the congress. This is the first volume of a thematic series dedicated to research results presented at ICIAM 2019-Valencia Congress

Recent Advances in Industrial and Applied Mathematics

This open access book contains review papers authored by thirteen plenary invited speakers to the 9th International Congress on Industrial and Applied Mathematics (Valencia, July 15-19, 2019). Written by top-level scientists recognized worldwide, the scientific contributions cover a wide range of cutting-edge topics of industrial and applied mathematics: mathematical modeling, industrial and environmental mathematics, mathematical biology and medicine, reduced-order modeling and cryptography. The book also includes an introductory chapter summarizing the main features of the congress. This is the first volume of a thematic series dedicated to research results presented at ICIAM 2019-Valencia Congress