The problem studied in this paper is similar to the one studies in our first paper in the series, however, here we are solely concerned with $L^p$ estimates.
For $\varepsilon>0 $ let $ u_\varepsilon $ be the solution to the following Dirichlet problem
$$
-\nabla \cdot A_\varepsilon(x) \nabla u_\varepsilon (x) =0 \text{ in } D \ \ \text{ and } \ \ u_\varepsilon(x) = g(x,x/ \varepsilon) \text{ on } \partial D,
$$
where $D \subset \mathbb{R}^d $ $ (d\geq 2) $ is a bounded domain, $g(x, \cdot)$ is $ \mathbb{Z}^d $-periodic for any $ x\in \partial D$
and the operator is uniformly elliptic. We study the problem
under strict convexity of the domain $D$ and smoothness of the data involved in the problem.
Our results here are twofold. First, in the case when the coefficients $A_\varepsilon(x)$
do not depend on $ \varepsilon>0 $ (i.e. for some fixed $A$ we have $ A_\varepsilon \equiv A $,
which means that the operator is fixed, but not necessarily constant) then for any $ 1\leq p < \infty $
we have the following convergence result
$$
\tag{1} \qquad \|u_\varepsilon - u_0\|_{L^p(D)} \leq C_p \begin{cases} \varepsilon^{1/2p} ,& d=2 , \\
(\varepsilon |\ln \varepsilon |)^{1/ p}, & d=3 , \\ \varepsilon^{1/ p} , & d \geq 4, \end{cases}
$$
where $ u_0 $ satisfies the same elliptic system but with Dirichlet data set to
$ \overline{g}(x):= \int_{\mathbb{T}^d} g(x, y) dy $, where $ \mathbb{T}^d $
is the unit torus of $\mathbb{R}^d $. By establishing a certain type of ergodic theorem
for scaled surfaces (which essentially states that large scalings of a strictly convex smooth surface modulo $\mathbb{Z}^d$
become equidistributed in $\mathbb{T}^d$ when the size of the scaling tends to infinity) we also show that the convergence rates given in $(1)$ are (generically) sharp
in dimensions higher than three, and is sharp up to logarithmic factor in dimension three.
Second, when $ A_\varepsilon(x) \equiv A(x/ \varepsilon) $ for some $ \mathbb{Z}^d $-periodic tensor $A$,
(the case of simultaneous oscillations in the operator and the boundary data)
combining our method with a recent result by
Kenig, Lin, and Shen
we prove in dimensions greater than two and for some special class of coefficients $A$, that
$$
\tag{2} \qquad \|u_\varepsilon - u_0\|_{L^p(D)} \leq C_p [ \varepsilon (\ln(1/ \varepsilon))^2 ]^{1/ p },
$$
for any $ 1\leq p< \infty $. In this special case
our result settles the homogenization in its optimal form. Here $u_0 $ solves the homogenized
problem with constant coefficient system and boundary data (which in our special case can be computed explicitly!) depending both on
coefficients of the original as well as homogenized operators, the original boundary data, and the normal field of the
boundary of the domain.
The motivation for revisiting the $L^p$-estimates obtained in the first paper of the series as a corollary to pointwise bounds,
comes from the following: for the problem with simultaneously oscillating operator and boundary data,
as in estimate $(2)$ above, the well-known paper by Gérard-Varet and Masmoudi
proves that for dimension $d\geq 2$ one has homogenization of the $\varepsilon$-problem
with convergence rate in $L^2$ of order $\varepsilon^{ (d-1)/(3d+5) -\delta } $ with arbitrary small loss $\delta>0$.
Comparing this result with our $L^2$-estimate from [4], in the case of constant coefficient operators
when the settings of both papers coincide, we see that the convergence exponent $1/4$, which was due to [4], gives a better convergence rate than $\frac{d-1}{3d+5} $
in dimensions up to $8$, and becomes worse for $d\geq 10$. This fact served as the motivating factor for us to
revised the problem and look for optimal exponents of the convergence.
The proof of $(1)$, as in [4], is based on the analysis of singular oscillatory integrals.
The reason, we are able to get better estimates here, is, very roughly, due to the fact that here we are dealing with
domain integration (as opposed to pointwise estimates of [4]), where the singularity of type $ |x|^{-\alpha} $ (stemming from the Poisson kernel) near the origin
has a better threshold for integration.
The refined analysis of this paper gives optimal bounds in $L^p$ however does not provide any pointwise estimates.
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