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\newtheorem{prop}{Proposition} \newtheorem{cor}{Corollary} \newtheorem*{utheorem}{Theorem} \newtheorem*{ulemma}{Lemma} \newtheorem*{uprop}{Proposition} \newtheorem*{ucor}{Corollary} \theoremstyle{definition} \newtheorem{defn}{Definition} \newtheorem{example}{Example} \newtheorem*{udefn}{Definition} \newtheorem*{uexample}{Example} \theoremstyle{remark} \newtheorem{remark}{Remark} \newtheorem{note}{Note} \newtheorem*{uremark}{Remark} \newtheorem*{unote}{Note} %------------------------------------------------------------------- \begin{document} %------------------------------------------------------------------- \section*{triangle inequality} \hypertarget{context}{}\subsubsection*{{Context}}\label{context} \hypertarget{analysis}{}\paragraph*{{Analysis}}\label{analysis} [[!include analysis - contents]] \hypertarget{contents}{}\section*{{Contents}}\label{contents} \noindent\hyperlink{idea}{Idea}\dotfill \pageref*{idea} \linebreak \noindent\hyperlink{InterpretationInEnrichedCategoryTheory}{Interpretation in enriched category theory}\dotfill \pageref*{InterpretationInEnrichedCategoryTheory} \linebreak \noindent\hyperlink{references}{References}\dotfill \pageref*{references} \linebreak \hypertarget{idea}{}\subsection*{{Idea}}\label{idea} The key conditions on a [[distance]] function for \emph{[[metric spaces]]} and on \emph{[[norms]]} on [[normed vector spaces]] is that the distance $d(x,z)$ between any two points $x,z$ is no larger than the sum of the distances $d(x,y) + d(y,z)$ via any third point $y$ \begin{displaymath} d(x,z) \leq d(x,y) + d(y,z) \,. \end{displaymath} For the usual metric/norm on [[Euclidean space]] and $f$ and $g$ two edges of a [[triangle]] \begin{displaymath} \itexarray{ && y \\ & {}^{\mathllap{f}}\nearrow && \searrow^{\mathrlap{g}} \\ x && \underset{f + g}{\longrightarrow} && z } \end{displaymath} then this [[inequality]] expresses that the straight path from $x$ to $z$ is always shorter or at worst as long as the path from $x$ to $z$ via $y$. However, [[normed fields]] and hence [[normed vector spaces]] for which this example gives the correct intuition are rare among all normed fields and vector spaces (they are the \emph{[[archimedean]]} ones). Most norms instead satisfy the stronger [[ultrametric]] triangle inequality which says that \begin{displaymath} {\vert f + g \vert} \leq max({\vert f\vert}, {\vert g\vert }) \,. \end{displaymath} A norm with this property is called \emph{[[non-archimedean]].} \hypertarget{InterpretationInEnrichedCategoryTheory}{}\subsection*{{Interpretation in enriched category theory}}\label{InterpretationInEnrichedCategoryTheory} One may equivalently regard the triangle equality in [[metric spaces]] as the [[composition]] operation in a certain incarnation of the metric space as an [[enriched category]] (\hyperlink{Lawvere73}{Lawvere 73}). From this perspective some concepts from [[analysis]] usefully generalize to other [[enriched categories]], notably the concept of \emph{[[Cauchy complete categories]]}. For more on this see at \emph{\href{metric+space#LawvereMetricSpace}{Lawvere metric space}}. Namely regard the [[half-open interval]] $[0,\infty) \subset \mathbb{R}$ as a [[poset]] under the [[relation]] $\geq$, and regard this poset as a [[category]] (see at [[(0,1)-category]]). The operation of addition of real numbers makes this a [[monoidal category]]. This means that a category [[enriched category|enriched over]] this monoidal category $([0,\infty){\geq}, +)$ is \begin{enumerate}% \item ([[objects]]) a set $X$; \item ([[hom objects]]) for every [[pair]] of points $(x,y) \in X \times X$ a real number $d(x,y) \in [0,\infty)$ \item ([[composition]]) for all $x,y,z \in X$ a morphism in $[0,\infty)_{\geq}$ of the form \begin{displaymath} \circ_{x,y,z} \;\colon\; d(x,y) + d(x,z) \longrightarrow d(x,z) \end{displaymath} \end{enumerate} such that \begin{enumerate}% \item ([[unitality]]) $d(x,x) = 0$; \item ([[associativity]]) \ldots{} \end{enumerate} Now since the [[category]] $[0,\infty)_{\geq}$ is a [[poset]], there is at most one morphism between any given pair of objects, and hence the choice of [[composition]] morphism $\circ_{x,y,z}$ above is really a condition on $d(-,-)$. Moreover, since a morphism $x \to y$ in $[0,\infty)$ exists precisely if $x \geq y$, then this condition is exactly the triangle identity \begin{displaymath} d(x,y) + d(y,z) \geq d(x,z) \,. \end{displaymath} Moreover, the [[unitality]] condition is part of the non-degeneracy condition on a metric, $d(x, y) = 0$ iff $x = y$, and the [[associativity]] condition is automatically satisfied once [[composition]] is defined. \hypertarget{references}{}\subsection*{{References}}\label{references} \begin{itemize}% \item Wikipedia, \emph{\href{https://en.wikipedia.org/wiki/Triangle_inequality}{Triangle inequality}} \item [[Bill Lawvere]] (1973). \emph{Metric spaces, generalized logic and closed categories}. Reprinted in [[TAC]], 1986. \href{http://www.tac.mta.ca/tac/reprints/articles/1/tr1abs.html}{Web}. \end{itemize} [[!redirects triangle inequalities]] \end{document}