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1 - The essentials

Published online by Cambridge University Press:  05 May 2010

Lynn Margaret Batten
Affiliation:
University of Manitoba, Canada
Albrecht Beutelspacher
Affiliation:
Justus-Liebig-Universität Giessen, Germany
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Summary

Definitions and examples

Definition: A linear space is a pair S = (p, ℒ) consisting of a set p of elements called points and a set ℒ of distinguished subsets of points, called lines satisfying the following axioms:

(L1) Any two distinct points of S belong to exactly one line of S.

(L2) Any line of S has at least two points of S.

(L3) There are three points of S not on a common line.

It is clear that (L3) could be replaced by an axiom (L3)': There are three lines of S not incident with a common point. In any case, (L3) and (L3)' are ‘non-triviality’ conditions. The readers should quickly describe those systems satisfying (LI) and (L2) but not (L3). These are called trivial linear spaces.

Points will usually be denoted by the lower case letters p, q, s,…, x, y, z, and lines by the upper case letters L, M, N,…, X, Y, Z.

The line through the distinct points p and q will be denoted by pq. If two distinct lines L and M intersect in some point, then their (unique) point of intersection will be denoted by LM.

We shall use ‘geometric’ language such as ‘a point is on a line’, ‘a line goes through a point’ and so forth, rather than confining ourselves to precise set-theoretic terminology.

Throughout this book we shall be restricting ourselves to finite linear spaces, that is, to linear spaces for which the point set is finite.

Type
Chapter
Information
The Theory of Finite Linear Spaces
Combinatorics of Points and Lines
, pp. 1 - 21
Publisher: Cambridge University Press
Print publication year: 1993

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