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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*{Chu spaces, simple examples} \hypertarget{simple_examples_of_chu_spaces}{}\section*{{Simple examples of Chu spaces}}\label{simple_examples_of_chu_spaces} \noindent\hyperlink{idea}{Idea}\dotfill \pageref*{idea} \linebreak \noindent\hyperlink{definitions}{Definitions}\dotfill \pageref*{definitions} \linebreak \noindent\hyperlink{related_concepts}{Related concepts}\dotfill \pageref*{related_concepts} \linebreak \noindent\hyperlink{references}{References}\dotfill \pageref*{references} \linebreak \hypertarget{idea}{}\subsection*{{Idea}}\label{idea} The simplest cases of [[Chu spaces]] can be thought of simply as matrices over a set $\Sigma$, that is, a rectangular array whose entries are drawn from $\Sigma$. The case most usually considered is $\Sigma = \mathbf{2}:=\{0,1\}$, and special cases of this then correspond to many relational structures. In fact, such a `dyadic' Chu space is just another way of representing a relation from the set of labels for the rows, to that of the labels of columns of the matrix. The role of $\mathbf{2}$ can be replaced by an arbitrary set with suitable modifications of the resulting theory. \hypertarget{definitions}{}\subsection*{{Definitions}}\label{definitions} The definition we will give here is just an ultra-special case of that given in [[Chu construction]]. \begin{defn} \label{space}\hypertarget{space}{} A \emph{(dyadic or two valued) Chu space} $\mathcal{P}$ is a triple $(P_o, \models_P, P_a)$, where $P_o$ is a set of \emph{objects}, and $P_a$ is a set of \emph{attributes}. The \emph{satisfaction} relation $\models_P$ is a subset of $P_o\times P_a$. \end{defn} The terminology used here is motivated by the link with [[formal concept analysis]]. Alternative terminologies include (from Pratt's \href{http://boole.stanford.edu/pub/coimbra.pdf}{Coimbra notes}) $P_o$ is a set of \emph{points} constituting the \emph{carrier}, whilst $P_a$ is the set of \emph{states}, which constitutes the \emph{cocarrier} of the Chu space. \begin{defn} \label{transform}\hypertarget{transform}{} A \emph{morphism} or \emph{Chu transform} from a Chu space $(P_o, \models_P, P_a)$ to a Chu space $(Q_o, \models_Q, Q_a)$ is a pair of functions $(f_a,f_o)$ with $f_o : P_o\to Q_o$ and $f_a : Q_a \to P_a$ such that, for any $x\in P_o$ and $y \in Q_a$, \begin{displaymath} f_o(x)\models_Q y iff x \models_P f_a(y). \end{displaymath} \end{defn} This looks very much like some form of adjointness condition, and in particular cases, of course, it is. In the above, the Chu space was thought of as `relating' $P_o$ to $P_a$, but, equally well, such a relation relates $P_a$ to $P_o$, i.e. given any dyadic Chu space, there is a dual one: \begin{defn} \label{dual}\hypertarget{dual}{} If $\mathcal{P} = (P_o, \models_P, P_a)$ is a dyadic Chu space, then $\mathcal{P}^\perp = (P_a, \models_P^{op}, P_o)$ is the \emph{dual Chu space} of $\mathcal{P}$. (It just reverses the roles of objects and attributes.) \end{defn} \hypertarget{related_concepts}{}\subsection*{{Related concepts}}\label{related_concepts} \begin{itemize}% \item [[formal concept analysis]] \item [[topological system]] (as in the book of [[Steve Vickers]] `Topology via Logic'). \end{itemize} \hypertarget{references}{}\subsection*{{References}}\label{references} \begin{itemize}% \item [[Vaughan Pratt]], \href{http://boole.stanford.edu/pub/coimbra.pdf}{Chu Spaces} \end{itemize} The links with [[formal concept analysis]] are in: \begin{itemize}% \item [[Guo-Qiang Zhang]] \emph{\href{http://newton.eecs.cwru.edu/papers/chu-concepts-entcs.pdf}{Chu spaces, concept lattices, and domains}} in Brookes, S., Panangaden, P., eds.: Electronic Notes in Theoretical Computer Science. Volume 83., (2004) \item [[P. Hitzler]], Guo-Qiang Zhang.: \emph{A cartesian closed category of approximating concepts} In: Proceedings of the 12th International Conference on Conceptual Structures, ICCS 2004, Huntsville, Al, July 2004. Volume 3127 of Lecture Notes in Artificial Intelligence., Springer-Verlag (2004) 170--185. \item Guo-Qiang Zhang, Shen, G.: \href{http://www.tac.mta.ca/tac/volumes/17/5/17-05.pdf}{Approximable Concepts, Chu spaces, and information systems}Theory and Applications of Categories 17, 2006, no.7 \end{itemize} General applications of Chu spaces are in: \begin{itemize}% \item \href{http://www.tac.mta.ca/tac/volumes/17/toc17.pdf}{Special TAC Volume on Chu spaces and Applications} \end{itemize} [[!redirects Chu spaces, simple examples]] [[!redirects simple examples of Chu spaces]] [[!redirects simple example of Chu spaces]] \end{document}