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34 lines
770 B
TeX
34 lines
770 B
TeX
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\newpage
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\begin{appendices}
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\section{Proofs for sone Lemmata in ...}
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In the following there will be proofs for some important Lemmata in
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Section~\ref{sec:theo38}. Further proofs not discussed here can be
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found in \textcite{heiss2019}
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\begin{Theorem}[Proof of Lemma~\ref{theo38}]
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\end{Theorem}
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\begin{Lemma}[$\frac{w^{*,\tilde{\lambda}}_k}{v_k}\approx\mathcal{O}(\frac{1}{n})$]
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For any $\lambda > 0$ and training data $(x_i^{\text{train}},
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y_i^{\text{train}}) \in \mathbb{R}^2, \, i \in
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\left\{1,\dots,N\right\}$, we have
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\[
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\max_{k \in \left\{1,\dots,n\right\}} \frac{w^{*,
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\tilde{\lambda}}_k}{v_k} = \po_{n\to\infty}
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\]
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\end{Lemma}
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\end{appendices}
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