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@@ -23,6 +23,8 @@
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\theoremheaderfont{\kern-0.7cm\normalfont\bfseries}
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\theorembodyfont{\normalfont} % nicht mehr kursiv
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+\def\mdr{\ensuremath{\mathbb{R}}}
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+
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\newframedtheorem{theorem}{Theorem}
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\newframedtheorem{lemma}[theorem]{Lemma}
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\newtheorem{plaindefinition}{Definition}
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@@ -418,14 +420,35 @@ take the same approach as in Equation \ref{eq:minimizingFirstDerivative}:
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0 &\stackrel{!}{=} -2 x_p + 2x -2y_p(f(x))' + (f(x)^2)'\\
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&= 2 f(x) \cdot f'(x) - 2 y_p f'(x) + 2x - 2 x_p\\
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&= f(x) \cdot f'(x) - y_p f'(x) + x - x_p\\
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- &= \underbrace{f'(x) \cdot \left (f(x) - y_p \right )}_{\text{Polynomial of degree 5}} + \underbrace{x - x_p}_{\text{:-(}}
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+ &= \underbrace{f'(x) \cdot \left (f(x) - y_p \right )}_{\text{Polynomial of degree 5}} + x - x_p
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\end{align}
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-\todo[inline]{Although general algebraic equations of degree 5 don't
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-have a solution formula, the special structure might give the
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-possibilty to find a closed form solution. But I don't know how.
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+General algebraic equations of degree 5 don't have a solution formula.\footnote{TODO: Quelle}
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+Although here seems to be more structure, the resulting algebraic
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+equation can be almost any polynomial of degree 5:\footnote{Thanks to Peter Košinár on \href{http://math.stackexchange.com/a/584814/6876}{math.stackexchange.com} for this one}
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+
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+\begin{align}
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+ 0 &\stackrel{!}{=} f'(x) \cdot \left (f(x) - y_p \right ) + (x - x_p)\\
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+ &= \underbrace{3 a^2}_{= \tilde{a}} x^5 + \underbrace{5ab}_{\tilde{b}}x^4 + \underbrace{2(2ac + b^2 )}_{=: \tilde{c}}x^3 &+& \underbrace{3(ad+bc-ay_p)}_{\tilde{d}} x^2 \\
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+ & &+& \underbrace{(2 b d+c^2+1-2 b y_p)}_{=: \tilde{e}}x+\underbrace{c d-c y_p-x_p}_{=: \tilde{f}}\\
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+ 0 &\stackrel{!}{=} \tilde{a}x^5 + \tilde{b}x^4 + \tilde{c}x^3 + \tilde{d}x^2 + \tilde{e}x + \tilde{f}
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+\end{align}
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-This is a first-order nonlinear ordinary differential equation - does this help?}
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+\begin{enumerate}
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+ \item With $a$, we can get any value of $\tilde{a} \in \mdr \setminus \Set{0}$.
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+ \item With $b$, we can get any value of $\tilde{b} \in \mdr \setminus \Set{0}$.
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+ \item With $c$, we can get any value of $\tilde{c} \in \mdr$.
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+ \item With $d$, we can get any value of $\tilde{d} \in \mdr$.
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+ \item With $y_p$, we can get any value of $\tilde{e} \in \mdr$.
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+ \item With $x_p$, we can get any value of $\tilde{f} \in \mdr$.
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+\end{enumerate}
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+
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+The first restriction only guaratees that we have a polynomial of
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+degree 5. The second one is necessary, to get a high range of
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+$\tilde{e}$.
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+
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+This means, that there is no solution formula for the problem of
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+finding the closest points on a cubic function to a given point.
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\subsection{Number of points with minimal distance}
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As there is an algebraic equation of degree 5, there cannot be more
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