Set-builder notation

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In set theory and its applications to logic, mathematics, and computer science, set-builder notation is a mathematical notation for describing a set by stating the properties that its members must satisfy. Forming sets in this manner is also known as set comprehension, set abstraction or as defining a set's intension.

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[edit] Building sets

Let Φ(x) be a schematic formula in which x appears free. Set builder notation has the form {x : Φ(x)} (some write {x | Φ(x)}, denoting the set of all individuals in the universe of discourse satisfying the predicate Φ(x), that is, the set whose members are every individual x such that Φ(x) is true. Set builder notation binds the variable x and must be used with the same care applied to variables bound by quantifiers.

Examples:

[edit] Russell's paradox

Let {S : S is a set and S does not belong to S} denote the set of all sets that do not belong to themselves. This set cannot exist; Russell's paradox explains why.

Solutions to the paradox restrict set -builder notation in certain ways. Let X={x in A : P(x)} denote the set of every element of A satisfying the predicate P(x). The canonical restriction on set builder notation asserts that X is a set only if A is already known to be a set. This restriction is codified in the axiom schema of separation present in standard axiomatic set theory. Note that this axiom schema excludes {S : S is a set and S does not belong to S} from sethood.

[edit] Other problems

The notation can be complicated, especially as in the previous example, and abbreviations are often employed when context indicates the nature of a variable. For example:

  • {x : x > 0}, in a context where the variable x is used only for real numbers, indicates the set of all positive real numbers;
  • {p/q : q is not zero}, in a context where the variables p and q are used only for integers, indicates the set of all rational numbers; and
  • {S : S does not belong to S}, in a context where the variable S is used only for sets, indicates the set of all sets that don't belong to themselves.

As the last example shows, such an abbreviated notation again might not denote an actual nonparadoxical set, unless there is in fact a set of all objects that might be described by the variable in question.

[edit] Variations

[edit] Defining sets in terms of other sets

Another variation on set-builder notation describes the members of the set in terms of members of some other set. Specifically, {F(x) : x in A}, where F is a function symbol and A is a previously defined set, indicates the set of all values of members of A under F. For example:

  • {2n : n in N}, where N is the set of all natural numbers, is the set of all even natural numbers.

In axiomatic set theory, this set is guaranteed to exist by the axiom schema of replacement.

These notations can be combined in the form {F(x) : x in A, P(x)}, which indicates the set of all values under F of those members of A that satisfy P. For example:

  • {p/q : p in Z, q in Z, q is not zero}, where Z is the set of all integers, is the set of all rational numbers (Q).

This example also shows how multiple variables can be used (both p and q in this case). This notation is acceptable even though e.g. 2/3 and 4/6 are both included in this definition, and a set can not contain multiple copies of an element; the case p=4, q=6 says with harmless redundancy that 2/3 is in the set.

[edit] Parallels in programming languages

Main article: List comprehension

Set-builder notation is closely related to a construct in some programming languages, most notably Python and Haskell, called list comprehension.

In Python, list comprehensions are denoted by square brackets, and have a different syntax to set-builder, but are fundamentally the same. Consider these examples, given in both set-builder notation and Python list comprehension.

  • Set-builder:
    • {l: l in L}
    • {{k, x}: k in K and x in X if P(x)
  • List comprehension:
    • [l for l in L]
    • [(k, x) for k in K for x in X if P(x)]

Note: While Python's list comprehension works similarly to set-builder notation, it does not denote a set but rather creates a mathematical tuple (as opposed to Python's native tuple datatype; the actual returned value's type is list) based on existing tuples. It is possible to use true sets in Python with the set keyword and set class, but this causes additional deviations from set-builder notation.

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