Completeness of the real numbers

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Intuitively, completeness implies that there are not any “gaps” (in Dedekind's terminology) or “missing points” in the real number line. This contrasts with the rational numbers, whose corresponding number line has a “gap” at each irrational value. In the decimal number system, completeness is equivalent to the statement that any infinite string of decimal digits is actually a decimal representation for some real number.

Depending on the construction of the real numbers used, completeness may take the form of an axiom (the completeness axiom), or may be a theorem proven from the construction. There are many equivalent forms of completeness, the most prominent being Dedekind completeness and Cauchy completeness (completeness as a metric space).

Forms of completeness[edit]

The real numbers can be defined synthetically as an ordered field satisfying some version of the completeness axiom. Different versions of this axiom are all equivalent in the sense that any ordered field that satisfies one form of completeness satisfies all of them, apart from Cauchy completeness and nested intervals theorem, which are strictly weaker in that there are non Archimedean fields that are ordered and Cauchy complete. When the real numbers are instead constructed using a model, completeness becomes a theorem or collection of theorems.

Least upper bound property[edit]

The least-upper-bound property states that every nonempty set of real numbers having an upper bound must have a least upper bound (or supremum) in the set of real numbers.

The rational number line Q does not have the least upper bound property. An example is the subset of rational numbers

This set has an upper bound. However, this set has no least upper bound in Q: the least upper bound as a subset of the reals would be , but it does not exist in Q . For any upper bound x ∈ Q, there is another upper bound y ∈ Q with y < x.

The least upper bound property can be generalized to the setting of partially ordered sets. See completeness (order theory).

Dedekind completeness[edit]

See Dedekind completeness for more general concepts bearing this name.

Dedekind completeness is the property that every Dedekind cut of the real numbers is generated by a real number. In a synthetic approach to the real numbers, this is the version of completeness that is most often included as an axiom.

The rational number line Q is not Dedekind complete. An example is the Dedekind cut

L does not have a maximum and R does not have a minimum, so this cut is not generated by a rational number.

There is a construction of the real numbers based on the idea of using Dedekind cuts of rational numbers to name real numbers; e.g. the cut (L,R) described above would name . If one were to repeat the construction with Dedekind cuts of real numbers, one would obtain no additional numbers because the real numbers are Dedekind complete.

Cauchy completeness[edit]

Cauchy completeness is the statement that every Cauchy sequence of real numbers converges.

The rational number line Q is not Cauchy complete. An example is the following sequence of rational numbers:

Here the nth term in the sequence is the nth decimal approximation for pi. Though this is a Cauchy sequence of rational numbers, it does not converge to any rational number. (In this real number line, this sequence converges to pi.)

Cauchy completeness is related to the construction of the real numbers using Cauchy sequences. Essentially, this method defines a real number to be the limit of a Cauchy sequence of rational numbers.

In mathematical analysis, Cauchy completeness can be generalized to a notion of completeness for any metric space. See complete metric space.

For an ordered field, Cauchy completeness is weaker than the other forms of completeness on this page. But Cauchy completeness and the Archimedean property taken together are equivalent to the others.

Nested intervals theorem[edit]

The nested interval theorem is another form of completeness. Let In = [an, bn] be a sequence of closed intervals, and suppose that these intervals are nested in the sense that

Moreover, assume that bn-an → 0 as n → +∞. The nested interval theorem states that the intersection of all of the intervals In contains exactly one point.

The rational number line does not satisfy the nested interval theorem. For example, the sequence (whose terms are derived from the digits of pi in the suggested way)

is a nested sequence of closed intervals in the rational numbers whose intersection is empty. (In the real numbers, the intersection of these intervals contains the number pi.)

Nested intervals theorem shares the same logical status as Cauchy completeness in this spectrum of expressions of completeness. In other words, nested intervals theorem by itself is weaker than other forms of completeness, although taken together with Archimedean property, it is equivalent to the others.

Monotone convergence theorem[edit]

The monotone convergence theorem (described as the fundamental axiom of analysis by Körner (2004)) states that every nondecreasing, bounded sequence of real numbers converges. This can be viewed as a special case of the least upper bound property, but it can also be used fairly directly to prove the Cauchy completeness of the real numbers.

Bolzano–Weierstrass theorem[edit]

The Bolzano–Weierstrass theorem states that every bounded sequence of real numbers has a convergent subsequence. Again, this theorem is equivalent to the other forms of completeness given above.

The intermediate value theorem[edit]

The intermediate value theorem states that every continuous function that attains both negative and positive values has a root. This is a consequence of the least upper bound property, but it can also be used to prove the least upper bound property if treated as an axiom. (The definition of continuity does not depend on any form of completeness, so this is not circular.)

See also[edit]

References[edit]

  • Aliprantis, Charalambos D; Burkinshaw, Owen (1998). Principles of real analysis (Third ed.). Academic. ISBN 0-12-050257-7.
  • Browder, Andrew (1996). Mathematical Analysis: An Introduction. Undergraduate Texts in Mathematics. New York: Springer-Verlag. ISBN 0-387-94614-4.
  • Bartle, Robert G.; Sherbert, Donald R. (2000). Introduction to Real Analysis (3 ed.). New York: John Wiley and Sons. ISBN 0-471-32148-6.
  • Abbott, Stephen (2001). Understanding Analysis. Undergradutate Texts in Mathematics. New York: Springer-Verlag. ISBN 0-387-95060-5.
  • Körner, Thomas William (2004), A companion to analysis: a second first and first second course in analysis, AMS Chelsea, ISBN 978-0-8218-3447-3
  • Rudin, Walter. Principles of Mathematical Analysis. Walter Rudin Student Series in Advanced Mathematics (3 ed.). McGraw-Hill. ISBN 978-0-07-054235-8.
  • Dangello, Frank; Seyfried, Michael (1999). Introductory Real Analysis. Brooks Cole. ISBN 978-0-395-95933-6.
  • Bressoud, David (2007). A Radical Approach to Real Analysis. MAA. ISBN 0-88385-747-2.