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Real Analysis




                    Notes          The word 'topology' is a combination of  the two Greek words 'topos' and 'logos'. The term
                                   'topos' means the top or the surface of an object and 'logos' means the study. Thus 'topology'
                                   means the study of surfaces. Since the surfaces are directly related to geometrical objects, therefore
                                   there is a close link between Geometry and Topology. In Geometry, we deal with shapes like
                                   lines, circles, spheres, cubes, cuboids, etc. and their geometrical properties like lengths, areas,
                                   volumes, congruences etc. In Topology, we study the surfaces of these geometrical objects and
                                   certain related properties which are called topological properties. What are these topological
                                   properties of the surfaces of a geometrical figure? We shall not answer this question at this stage.
                                   However, since our discussion is confined to the real line, therefore, we shall discuss this question
                                   pertaining to the topological  properties of the real line. These  properties are  related to the
                                   points and subsets' of the real line such as neighbourhood of a point, open sets, closed sets, limit
                                   points of a set of the real line, etc. We shall, therefore, discuss these notions and concepts in this
                                   unit. However, prior to all these, we discuss the modulus of a real number and its relationship
                                   with the order relations or inequalities.

                                   3.1 Matric Spaces


                                   Definition
                                   A metric space is an ordered pair (M, d) where M is a set and d is a metric on M, i.e., a function
                                                                   d : M  M 
                                   such that for any x, y, z M, the following holds:
                                   1.  d(x, y)  0 (non-negative),

                                   2.  d(x, y) = 0 iff x = y (identity of indiscernibles),
                                   3.  d(x, y) = d(y, x) (symmetry) and
                                   4.  d(x, z)  d(x, y) + d(y, z) (triangle inequality).

                                   The first condition follows from the other three, since:
                                                          2d(x, y) = d(x, y) – d(y, x)  d(x, x) = 0
                                   The function d is also called distance function or simply distance. Often, d is omitted and one just
                                   writes M for a metric space if it is clear from the context what metric is used.

                                          Example:

                                   1.  The prototype: the line R with its usual distance d(x, y) = |x – y|.
                                   2.  The plane R  with the “usual distance” (measured using Pythagoras’s theorem):
                                                 2
                                                                        2
                                                               2
                                       d((x , y ), (x , y )) = [(x  – x )  + (y  – y ) ].
                                           1  1  2  2     1   2    1  2
                                       This is sometimes called the 2-metric d .
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