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A Set is a collection of objects. It is an abstract concept, which means the objects are conceptual things, not physical things. The objects can be anything, even other sets. This section describes what a set is, defines the notation for describing sets, and gives some examples of different kinds of sets.
Set Description Notation gives a rundown of the various ways to describe a set -- Roster notation, Set-builder notation, Interval notation, and Graphically. Set Construction is the construction of the traditional sets: Integers, Reals, Complex, etc. Topology is an introduction to the basic definitions of terms in the study of metric sets. The most important notion of set theory is membership. x is a member of S, x in S, is written with a funny e. In these notes it is written as x : S. Two sets S and T are equal just when, for any x, (x is a member of S) is logically equivalent to (x is a member of T). Formally, S = T means ((x : S <=> x : T), for any x) S is a subset of T just when, for any x, (x is a member of S) ==> (x is a member of T). S is a superset of T just when T is a subset of S. S is a strict subset of T if it is a subset of T and also S ~= T. Subset is a transitive relation. Sets can be constructed by giving a property which their elements must satisfy. For example, m..n = {x : x is a natural number and m <= x <= n} Standard sets include N the natural numbers, {1, 2, 3, ...}
Z the integers {0, 1, -1, 2, -2, ...} Q the rational numbers R the real numbers The empty set {} can also be written as a funny phi, or in this document, /0. Standard operations on sets include union A \_/ B = {x : x in A or x in B} intersection A /^\ B = {x : x in A and x in B} difference A \ B = {x : x in A and x not in B} symmetric difference A (+) B = {x : x in A or x in B but not both} powerset P(A) = {x : x subset of A} cartesian product A >< B = {(a,b) : a in A and b in B} The pair (a,b) is an ordered collection of two values. That is to say (a,b) = (c,d) <=> a = c and b = d. There is often a universal set U which contains all possible values of interest. It is then possible to define complement A^c = {x : x not in A} = {x : x in U and x not in A} = U \ A These operations satisfy the following laws A \_/ A = A A \_/ /0 = A A \_/ U = U A /^\ A = A A /^\ /0 = /0 A /^\ U = A A \_/ B = B \_/ A A /^\ B = B /^\ A A \_/ (B \_/ C) = (A \_/ B) \_/ C A /^\ (B /^\ C) = (A /^\ B) /^\ C A \_/ (B /^\ C) = (A \_/ B) /^\ (A \_/ C) A /^\ (B \_/ C) = (A /^\ B) \_/ (A /^\ C) A^c^c = A U ^c = /0 /0^c = U A \_/ A^c = U A /^\ A^c = /0 (A \_/ B)^c = A^c /^\ B^c (A /^\ B)^c = A^c \_/ B^c A \ B = A /^\ B^c A (+) B = (A /^\ B^c) \_/ (A^c /^\ B) A subset B <=> A \ B = /0 <=> A /^\ B^c = /0 The size of a set is also known as its cardinality. This is the number of (distinct) members. cardinality |A| = the number of members of A Some laws are |{}| = 0 |{x}| = 1 x ~= y ==> |{x,y}| = 2 (and so on for sets with 3 or more elements) |A| + |B| = |A \_/ B| + |A /^\ B| |P(A)| = 2^(|A|) |A >< B| = |A| * |B| Related pages in this website
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