LaTeX-examples/documents/math-minimal-distance-to-cubic-function/problem-description.tex

\chapter{Description of the Problem}
Let $f: D \rightarrow \mdr$ with $D \subseteq \mdr$ be a polynomial function and $P \in \mdr^2$
be a point. Let $d_{P,f}: \mdr \rightarrow \mdr_0^+$
be the Euklidean distance of a point $P$ to a point $\left (x, f(x) \right )$
on the graph of $f$:
\[d_{P,f} (x) := \sqrt{(x - x_P)^2 + (f(x) - y_P)^2}\]

Now there is finite set $M = \Set{x_1, \dots, x_n} \subseteq D$ of minima for given $f$ and $P$:
\[M = \Set{x \in D | d_{P,f}(x) = \min_{\overline{x} \in D} d_{P,f}(\overline{x})}\] 

But minimizing $d_{P,f}$ is the same as minimizing 
$d_{P,f}^2 = x_p^2 - 2x_p x + x^2 + y_p^2 - 2y_p f(x) + f(x)^2$.

In order to solve the minimal distance problem, Fermat's theorem
about stationary points will be tremendously usefull:

\begin{theorem}[Fermat's theorem about stationary points]\label{thm:fermats-theorem}
    Let $x_0$ be a local extremum of a differentiable function $f: \mathbb{R} \rightarrow \mathbb{R}$.

    Then: $f'(x_0) = 0$.
\end{theorem}

So in fact you can calculate the roots of $(d_{P,f}(x))'$ to get
candidates for minimal distance. These candidates include all points
with minimal distance, but might also contain more. Example~\ref{ex:false-positive}
shows such a situation.

Let $S_n$ be the function that returns the set of solutions for a
polynomial $f$ of degree $n$ and a point $P$:

\[S_n: \Set{\text{Polynomials of degree } n \text{ defined on } \mdr} \times \mdr^2 \rightarrow \mathcal{P}({\mdr})\]
\[S_n(f, P) := \underset{x\in\mdr}{\arg \min d_{P,f}(x)} = M\]

If possible, I will explicitly give this function.