Set Theory

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Set - The term set is undefined. It is a term which accepted as a primitive concept. We can gain an intuitive feeling for the meaning of the term set by noting synonyms such as collection. The term object is also undefined. It also goes by the synonym element. Thus we can speak of the set A, the set of all the real numbers. Then any real number is an element of the set A. The notation x Ξ A is read, “x is an element of the set A.” Similarly the notation x Ο A is read, “x is not an element of A”. It is also possible for sets to be elements of another set. The term space is sometimes used as a synonym for set.

Union – The union of two sets A and B is another set whose elements consist of the elements of both A and B. The notation of the union of the sets A and B is

Eq. (1) is read “the union of A and B”. As an example consider A = {1, 3, 5, 7} and B = {2, 4, 6, 8}. Then A Θ B = {1, 2, 3, 4, 5, 6, 7, 8}

Intersection - The intersection of two sets A andd B is another set whose elements consist of the elements that are common to A and B. That is to say, an element is in the intersection of A and B if and only if the element is in both A and B. The notation of the intersection of the sets A and B is

and is read “the intersection of A and B”. As an example of the intersection of two sets define A = {1, 3, 5, 7} and B = {2, 5, 7, 8}. Then A Η B = {5, 7}

It is sometimes convenient to generalize the operations of union and intersection. The generalization of the union of sets is

The generalization of the intersection of sets is

Notation – The notation for the union and intersection of two or more sets is defined above. There are more notations that are important to know. The notation

reads “A is a subset of B” which means that all of the elements of A are also in B. However it does not follow from this that B is a subset of A. Consider the sets A = {a, b, g, h} and B = {a, b, c, d, e, f, g, h, i, j). It is easily seen that A Μ B. The notation A Λ B is read “A is not a subset of B

Rn – The space Rn is the usual n-dimensional space of vector algebra: a point in Rn is a sequence of n real numbers (x1, x2, …, xn) also called an n-tuple of real numbers. For example, R0 Ί R is the set of all real numbers. R2 is the set of pairs of real numbers such as (6, 12.4).

Neighborhoods – In order to state certain properties of sets, such as whether the set is open or not, one must employ a distance function of which there are many. A very important distance function defined for x = (x1, x2, …, xn) and y = (y1, y2, …, yn) is

Let n = 2. Then the equation d(x, y) < 1 defines a neighborhood in R2 which is the interior of a disk of radius 1. The circle itself is not part of the neighborhood. In such cases the set is said to be open.

The distance function d(x, y) is used here to define neighborhoods and thereby open sets. In such cases we say that d(x, y) has induced a topology on R2.  This distance function need not be as defined in Eq. (6) to establish the same topology since other distance functions can be defined which would define the same topology.


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