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#Gaussian-maximal-function.tex#

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Gaussian-maximal-function.tex

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\biggr)}{(1 + \e^{-t^2})^{\frac{d}2}}.
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\end{equation}
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\section{Some fine lemmata and definitions}
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\subsection{$m$inimal function}
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We recall the lemma from \cite[lemma 2.3]{Maas2011b} which first,
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\end{equation}
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We will write $D := D^1$ for simplicity.
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The next lemma will come useful when we want to cancel exponential
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growth in one variable with exponential decay in the other as long
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both variables are in a Gaussian cone.
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So we are done.
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\end{proof}
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\section{On-diagonal estimates}
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\subsection{Kernel estimates}
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We begin with a technical lemma which will be useful on several
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\end{equation*}
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\end{remark}
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\subsection{On-diagonal kernel estimates on annuli}
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As is common in harmonic analysis, we often wish to decompose
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$\R^d$ into sets on which certain phenomena are easier to handle. Thus
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The $C_k$ are given by,
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\begin{equation}
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\label{eq:C_k-annulus-decomposition}
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C_k(B) := C_k =
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C_k(B) := C_k = (2^{k + 1} - 1)B \setminus (2^k - 1)B.
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\begin{cases}
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2B &\text{if $k = 0$,}\\
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2^{k + 1}B \setminus 2^k B &\text{for $k \geq 1$.}

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