Set-Theoretic Notations and Terminology

1.1 Some sets can be described by listing their members. Thus {x1,,xn}\{x_1, \dots, x_n\} is the set whose members are x1,,xnx_1, \dots, x_n; and {x}\{x\} is the set whose only member is xx. More often, sets are described by properties. We write

{x:P}\{x: P\}

for the set of all elements xx which have the property PP. The symbol \emptyset denotes the empty set. The words collection, family, and class will be used synonymously with set.

We write xAx \in A if xx is a member of the set AA; otherwise xAx \notin A. If BB is a subset of AA, i.e., if xBx \in B implies xAx \in A, we write BAB \subset A. If BAB \subset A and ABA \subset B, then A=BA = B. If BAB \subset A and ABA \neq B, BB is a proper subset of AA. Note that A\emptyset \subset A for every set AA.

ABA \cup B and ABA \cap B are the union and intersection of AA and BB, respectively. If {Aα}\{A_\alpha\} is a collection of sets, where α\alpha runs through some index set II, we write

αIAαandαIAα\bigcup_{\alpha \in I} A_\alpha \quad \text{and} \quad \bigcap_{\alpha \in I} A_\alpha

for the union and intersection of {Aα}\{A_\alpha\}:

αIAα={x:xAα for at least one αI}\bigcup_{\alpha \in I} A_\alpha = \{x: x \in A_\alpha \text{ for at least one } \alpha \in I\}αIAα={x:xAα for every αI}.\bigcap_{\alpha \in I} A_\alpha = \{x: x \in A_\alpha \text{ for every } \alpha \in I\}.

If II is the set of all positive integers, the customary notations are

n=1Anandn=1An.\bigcup_{n=1}^{\infty} A_n \quad \text{and} \quad \bigcap_{n=1}^{\infty} A_n.

If no two members of {Aα}\{A_\alpha\} have an element in common, then {Aα}\{A_\alpha\} is a disjoint collection of sets.

We write AB={x:xA,xB}A - B = \{x: x \in A, x \notin B\}, and denote the complement of AA by AcA^c whenever it is clear from the context with respect to which larger set the complement is taken.

The cartesian product A1××AnA_1 \times \cdots \times A_n of the sets A1,,AnA_1, \dots, A_n is the set of all ordered nn-tuples (a1,,an)(a_1, \dots, a_n) where aiAia_i \in A_i for i=1,,ni = 1, \dots, n.

The real line (or real number system) is R1R^1, and

Rk=R1××R1(k factors).R^k = R^1 \times \cdots \times R^1 \quad (k \text{ factors}).

The extended real number system is R1R^1 with two symbols, \infty and -\infty, adjoined, and with the obvious ordering. If ab-\infty \le a \le b \le \infty, the interval [a,b][a, b] and the segment (a,b)(a, b) are defined to be

[a,b]={x:axb},(a,b)={x:a<x<b}.[a, b] = \{x: a \le x \le b\}, \quad (a, b) = \{x: a < x < b\}.

We also write

[a,b)={x:ax<b},(a,b]={x:a<xb}.[a, b) = \{x: a \le x < b\}, \quad (a, b] = \{x: a < x \le b\}.

If E[,]E \subset [-\infty, \infty] and EE \ne \emptyset, the least upper bound (supremum) and greatest lower bound (infimum) of EE exist in [,][-\infty, \infty] and are denoted by supE\sup E and infE\inf E.

Sometimes (but only when supEE\sup E \in E) we write maxE\max E for supE\sup E.

The symbol

f:XYf: X \to Y

means that ff is a function (or mapping or transformation) of the set XX into the set YY; i.e., ff assigns to each xXx \in X an element f(x)Yf(x) \in Y. If AXA \subset X and BYB \subset Y, the image of AA and the inverse image (or pre-image) of BB are

f(A)={y:y=f(x) for some xA},f(A) = \{y: y = f(x) \text{ for some } x \in A\},f1(B)={x:f(x)B}.f^{-1}(B) = \{x: f(x) \in B\}.

Note that f1(B)f^{-1}(B) may be empty even when BB \ne \emptyset.

The domain of ff is XX. The range of ff is f(X)f(X).

If f(X)=Yf(X) = Y, ff is said to map XX onto YY.

We write f1(y)f^{-1}(y), instead of f1({y})f^{-1}(\{y\}), for every yYy \in Y. If f1(y)f^{-1}(y) consists of at most one point, for each yYy \in Y, ff is said to be one-to-one. If ff is one-to-one, then f1f^{-1} is a function with domain f(X)f(X) and range XX.

If f:X[,]f: X \to [-\infty, \infty] and EXE \subset X, it is customary to write supxEf(x)\sup_{x \in E} f(x) rather than supf(E)\sup f(E).

If f:XYf: X \to Y and g:YZg: Y \to Z, the composite function gf:XZg \circ f: X \to Z is defined by the formula

(gf)(x)=g(f(x))(xX).(g \circ f)(x) = g(f(x)) \quad (x \in X).

If the range of ff lies in the real line (or in the complex plane), then ff is said to be a real function (or a complex function). For a complex function ff, the statement “f0f \ge 0” means that all values f(x)f(x) of ff are nonnegative real numbers.