Cauchy Sequence Definition
Claim
Let be a metric space, let be the set of natural numbers, and let be a sequence of points in .
The sequence is a Cauchy sequence if, for every positive real number , there exists a natural number such that, whenever satisfy and :
Assumptions
No assumptions recorded.
Proof
This is a definition, so it is not proved true from earlier propositions. Its purpose is to make precise the idea that the later terms of a sequence become arbitrarily close to one another.
Let be a metric space. Here, is a set of points and is the distance between any two points .
Let be the natural numbers.
A sequence is a function that assigns one point to each natural-number index .
Let be a positive real number. The value represents a chosen tolerance: it is the greatest separation we are willing to allow between sufficiently late terms of the sequence.
The condition for a Cauchy sequence is:
The symbol means “for every,” and the symbol means “there exists.”
The condition begins with “for every .” This means the sequence must meet the requirement for any desired degree of closeness, including extremely small tolerances such as , , or .
For each chosen tolerance , there must be an index . The index may depend on : demanding a smaller tolerance may require moving further along the sequence.
The condition means that both and are selected from the tail of the sequence, beginning at .
The inequality means that every pair of terms in this tail lies within the chosen tolerance of each other.
Thus, after some sufficiently late point in the sequence, all remaining terms form a cluster whose members can be made arbitrarily close together.
The definition compares pairs of later terms and rather than comparing each term with a proposed limit. This is useful because it identifies sequences that are approaching a single value without requiring that value to be known in advance.
A Cauchy sequence therefore expresses internal convergence: its later terms increasingly agree with one another. Whether the sequence actually converges to a point in is a separate question, answered by the completeness of the metric space.
Examples
Constant Sequence
Let for every .
This is a Cauchy sequence because every pair of terms is identical:
Since for every , all terms are within every positive tolerance of one another.
Reciprocal Sequence
Let for every .
This is a Cauchy sequence because its terms eventually lie arbitrarily close to . If , then:
For every , choose such that . Then:
Geometric Sequence
Let be a real number satisfying , and let:
This is a Cauchy sequence because becomes arbitrarily close to as increases.
For every , there exists such that . If , then:
Rational Approximations of $\sqrt{2}$
Let , and let be the decimal approximation of truncated after decimal places:
This is a Cauchy sequence in because every lies within of :
$$
\sqrt{2}-10^{-n}0N10^{-N}<\varepsilon$. Then:This example is important because the sequence is Cauchy in but does not converge to a rational number.
Natural-Number Sequence — Not Cauchy
Let:
This is not a Cauchy sequence because its later terms do not cluster together.
Choose . For every proposed index , choose:
Then , but:
Therefore:
Alternating Sequence — Not Cauchy
Let:
This sequence alternates indefinitely between and .
Choose . For every proposed index , there are an even index and an odd index . Therefore:
Thus:
Since , the sequence is not Cauchy.
Square-Root Sequence — Not Cauchy
Let:
This is not a Cauchy sequence because its terms continue to spread apart.
Choose . For every proposed index , choose:
Then , and:
Since , it follows that:
Periodic Oscillation — Not Cauchy
Let:
This sequence repeatedly takes the values , , and rather than forming an increasingly tight cluster.
Choose . For every proposed index , choose sufficiently large such that:
Then:
Therefore:
Since , the sequence is not Cauchy.
Evidence
No source evidence recorded.
Related Concepts
No dependency connections recorded.