\documentclass{article} \title{On the Algebraic Solution to Interval Equations} \author{Svetoslav Markov \thanks{Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Acad.~G.~Bonchev str., block 8, BG-1113 Sofia, Bulgaria, E-mail : smarkov@iph.bio.acad.bg } } \date{} \pagestyle{empty} \begin{document} \maketitle \thispagestyle{empty} Consider a linear algebraic system ${\bf Ax}={\bf b}$ involving intervals in the $(n\times n)$-matrix ${\bf A}$ and in the right-hand side $n$-vector ${\bf b}$. Here we shall be concerned with the {\em (interval) algebraic solution} which is an interval $n$-vector ${\bf x}$ satisfying the system whenever the arithmetic operations are performed in interval arithmetic. We shall write this problem in the form \begin{equation} \label{Isolution} {\bf A}\times {\bf x}={\bf b}, \end{equation} to emphasize that the symbol ``$\times$'' means {\em interval multiplication} (in the sense of \cite{GardenesTrepat80}, \cite{Kaucher80}, \cite{Ortolf69}) of the interval matrix ${\bf A}$ by the solution vector ${\bf x}$; the latter being generally an interval vector. The notation used for the interval arithmetic operations is convenient for the formulation of new computational rules and for algebraic transformations. Using such symbolic notation based on binary variables taking values from the set $\{ +, - \}$, we formulate new distributivity relations and simple rules for the transformation of algebraic expressions and equations \cite{Markov92}--\cite{Markov95}. This leads to a powerful complete interval algebraic structure, called {\em directed interval arithmetic}. The latter unifies both Kaucher's extended interval arithmetic and the extended arithmetic for normal intervals using {\em inner} ({\em nonstandard}) operations developed earlier by the author \cite{Markov80}, \cite{Markov92}. In particular it has been proved that extended interval arithmetic with inner operations: i) is a ``projection'' of the directed interval arithmetic system on the system of normal intervals, and, ii) can be isomorphically embedded in the directed interval algebraic system \cite{Markov95}, \cite{Markov96}. Directed interval arithmetic provides a simple general framework which enables us to pass from directed (proper and improper) intervals to proper intervals (with inner operations), and vice versa. Briefly, directed interval arithmetic is the interval arithmetic described in \cite{GardenesTrepat80}, \cite{Kaucher80}, \cite{Ortolf69}, which: 1) incorporates the exended interval arithmetic with inner operations (as a result of applying familiar algebraic constructions), and 2) is equipped by a set of new relations and computational rules (formulated in terms of our ``plus-minus'' notations), necessary for the straightforward symbolic transformation of algebraic expressions and equations. It has been noticed that the interval algebraic solution to (\ref{Isolution}) is closely related to the solutions of three practically significant linear algebraic problems involving interval coefficients: the united, the controlled and the tolerable solutions \cite{GardenesTrepat80}--\cite{Kupriyanova94}, \cite{Shary93}--\cite{Shary96}. This shows the importance of a selfcontained study of the algebraic solution to (\ref{Isolution}). In this work we propose some algebraic rules and methods for finding the algebraic solution of the interval system (\ref{Isolution}) using directed interval arithmetic. \begin{thebibliography}{99} \bibitem{GardenesTrepat80} Garde\~{n}es, E., A. Trepat, {\em Fundamentals of SIGLA, an Interval Computing System over the Completed Set of Intervals}, Computing, {\sl 24}, 161--179 (1980). \bibitem{Kaucher80} Kaucher, E., {\em Interval Analysis in the Extended Interval Space $IR$}, Computing Suppl. {\sl 2}, 33--49 (1980). \bibitem{Kupriyanova94} Kupriyanova, L., {\em Inner Estimation of the United Solution Set to Interval Linear Algebraic System}, Reliable Computing, 1, 1, 15--31 (1995). \bibitem{Markov80} Markov, S., {\em Some Applications of the Extended Interval Arithmetic to Interval Iterations}, Computing Suppl. {\sl 2}, 69--84 (1980). \bibitem{Markov92} Markov, S., {\em Extended Interval Arithmetic Involving Infinite Intervals}, Mathematica Balkanica, {\sl 6}, 3, 269--304 (1992). \bibitem{Markov93} Markov, S., {\em Some Interpolation Problems Involving Interval Data}, Interval Computations, 3, 164--182 (1993). \bibitem{Markov95} Markov, S., {\em On Directed Interval Arithmetic and its Applications}, J. UCS, 1, 7, 510--521 (1995). \bibitem{Markov96} Markov, S., {\em Isomorphic Embeddings of Interval Systems}, Reliable Computing, vol.~3, 3, 199--207 (1997). \bibitem{Ortolf69} Ortolf, H.-J., Eine Verallgemeinerung der Intervallarithmetik, Berichte der GMD, Bonn, 11, 1969. \bibitem{Shary93} Shary, S., {\em Controllable Solution Set to Interval Static Systems}, Applied Mathematics and Computations, 86/2--3, 185--196 (1997); see also: Shary, S., {\em On Controlled Solution Set of Interval Algebraic Systems}, Interval Computations, 6, 66--75 (1992). \bibitem{Shary95} Shary, S., {\em Solving the Linear Interval Tolerance Problem}, Mathematics and Computers in Simulation, 39, 53--85, (1995); see also: Shary, S., {\em Solving the Tolerance Problem for Interval Linear Equations}, Interval Computations, 2, 6--26 (1994). \bibitem{Shary96} Shary, S., {\em Algebraic Approach to the Interval Linear Static Identification, Tolerance and Control Problems, or One More Application of Kaucher Arithmetic}, Reliable Computing, 2, 1, 1996, 1--32. \end{thebibliography} \end{document}