Infinite Index
Scientific claim

Cauchy Sequence Definition

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Claim

Let (X,d)(X,d) be a metric space, let N={1,2,3,}\mathbb{N}=\{1,2,3,\ldots\} be the set of natural numbers, and let (xn)nN(x_n)_{n\in\mathbb{N}} be a sequence of points in XX.

The sequence (xn)nN(x_n)_{n\in\mathbb{N}} is a Cauchy sequence if, for every positive real number ε>0\varepsilon>0, there exists a natural number NNN\in\mathbb{N} such that, whenever n,mNn,m\in\mathbb{N} satisfy nNn\geq N and mNm\geq N:

d(xn,xm)<ε.d(x_n,x_m)<\varepsilon.
Theoretical: Not applicableExperimental: Not applicable

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 (X,d)(X,d) be a metric space. Here, XX is a set of points and d(x,y)d(x,y) is the distance between any two points x,yXx,y\in X.

Let N={1,2,3,}\mathbb{N}=\{1,2,3,\ldots\} be the natural numbers.

A sequence (xn)nN(x_n)_{n\in\mathbb{N}} is a function that assigns one point xnXx_n\in X to each natural-number index nNn\in\mathbb{N}.

Let ε>0\varepsilon>0 be a positive real number. The value ε\varepsilon 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:

ε>0, NN such that n,mN,n,mNd(xn,xm)<ε.\forall\varepsilon>0,\ \exists N\in\mathbb{N}\ \text{such that}\ \forall n,m\in\mathbb{N},\quad n,m\geq N \Rightarrow d(x_n,x_m)<\varepsilon.

The symbol \forall means “for every,” and the symbol \exists means “there exists.”

The condition begins with “for every ε>0\varepsilon>0.” This means the sequence must meet the requirement for any desired degree of closeness, including extremely small tolerances such as ε=0.1\varepsilon=0.1, ε=0.001\varepsilon=0.001, or ε=10100\varepsilon=10^{-100}.

For each chosen tolerance ε\varepsilon, there must be an index NN. The index NN may depend on ε\varepsilon: demanding a smaller tolerance may require moving further along the sequence.

The condition n,mNn,m\geq N means that both xnx_n and xmx_m are selected from the tail of the sequence, beginning at xNx_N.

The inequality d(xn,xm)<εd(x_n,x_m)<\varepsilon 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 xnx_n and xmx_m 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 XX is a separate question, answered by the completeness of the metric space.

Examples

  1. Constant Sequence

    Let xn=5x_n=5 for every nNn\in\mathbb{N}.

    xn=5.x_n=5.

    This is a Cauchy sequence because every pair of terms is identical:

    xnxm=55=0.|x_n-x_m|=|5-5|=0.

    Since 0<ε0<\varepsilon for every ε>0\varepsilon>0, all terms are within every positive tolerance of one another.

  2. Reciprocal Sequence

    Let xn=1nx_n=\frac{1}{n} for every nNn\in\mathbb{N}.

    xn=1n.x_n=\frac{1}{n}.

    This is a Cauchy sequence because its terms eventually lie arbitrarily close to 00. If n,mNn,m\geq N, then:

    1n1m<1N.\left|\frac{1}{n}-\frac{1}{m}\right| < \frac{1}{N}.

    For every ε>0\varepsilon>0, choose NNN\in\mathbb{N} such that 1N<ε\frac{1}{N}<\varepsilon. Then:

    xnxm<ε.|x_n-x_m|<\varepsilon.
  3. Geometric Sequence

    Let rr be a real number satisfying r<1|r|<1, and let:

    xn=rn.x_n=r^n.

    This is a Cauchy sequence because rnr^n becomes arbitrarily close to 00 as nn increases.

    For every ε>0\varepsilon>0, there exists NNN\in\mathbb{N} such that rN<ε2|r|^N<\frac{\varepsilon}{2}. If n,mNn,m\geq N, then:

    xnxmxn+xm<ε2+ε2=ε.|x_n-x_m| \leq |x_n|+|x_m| < \frac{\varepsilon}{2}+\frac{\varepsilon}{2} = \varepsilon.
  4. Rational Approximations of $\sqrt{2}$

    Let X=QX=\mathbb{Q}, and let xnx_n be the decimal approximation of 2\sqrt{2} truncated after nn decimal places:

    xn=10n210n.x_n = \frac{\lfloor 10^n\sqrt{2}\rfloor}{10^n}.

    This is a Cauchy sequence in Q\mathbb{Q} because every xnx_n lies within 10n10^{-n} of 2\sqrt{2}:

    $$
    \sqrt{2}-10^{-n}0,choose, choose Nsuchthat such that 10^{-N}<\varepsilon$. Then:

    xnxm<ε.|x_n-x_m|<\varepsilon.

    This example is important because the sequence is Cauchy in Q\mathbb{Q} but does not converge to a rational number.

  5. Natural-Number Sequence — Not Cauchy

    Let:

    xn=n.x_n=n.

    This is not a Cauchy sequence because its later terms do not cluster together.

    Choose ε=1\varepsilon=1. For every proposed index NN, choose:

    n=Nandm=N+1.n=N \qquad \text{and} \qquad m=N+1.

    Then n,mNn,m\geq N, but:

    xnxm=N(N+1)=1.|x_n-x_m| = |N-(N+1)| = 1.

    Therefore:

    xnxmε.|x_n-x_m|\not<\varepsilon.
  6. Alternating Sequence — Not Cauchy

    Let:

    xn=(1)n.x_n=(-1)^n.

    This sequence alternates indefinitely between 11 and 1-1.

    Choose ε=1\varepsilon=1. For every proposed index NN, there are an even index nNn\geq N and an odd index mNm\geq N. Therefore:

    xn=1andxm=1.x_n=1 \qquad \text{and} \qquad x_m=-1.

    Thus:

    xnxm=1(1)=2.|x_n-x_m| = |1-(-1)| = 2.

    Since 212\not<1, the sequence is not Cauchy.

  7. Square-Root Sequence — Not Cauchy

    Let:

    xn=n.x_n=\sqrt{n}.

    This is not a Cauchy sequence because its terms continue to spread apart.

    Choose ε=1\varepsilon=1. For every proposed index NN, choose:

    n=Nandm=4N.n=N \qquad \text{and} \qquad m=4N.

    Then n,mNn,m\geq N, and:

    xnxm=N4N=N.|x_n-x_m| = |\sqrt{N}-\sqrt{4N}| = \sqrt{N}.

    Since N1\sqrt{N}\geq1, it follows that:

    xnxm1.|x_n-x_m|\not<1.
  8. Periodic Oscillation — Not Cauchy

    Let:

    xn=sin(nπ2).x_n=\sin\left(\frac{n\pi}{2}\right).

    This sequence repeatedly takes the values 11, 00, and 1-1 rather than forming an increasingly tight cluster.

    Choose ε=1\varepsilon=1. For every proposed index NN, choose sufficiently large kNk\in\mathbb{N} such that:

    4k+1Nand4k+3N.4k+1\geq N \qquad \text{and} \qquad 4k+3\geq N.

    Then:

    x4k+1=1andx4k+3=1.x_{4k+1}=1 \qquad \text{and} \qquad x_{4k+3}=-1.

    Therefore:

    x4k+1x4k+3=1(1)=2.|x_{4k+1}-x_{4k+3}| = |1-(-1)| = 2.

    Since 212\not<1, the sequence is not Cauchy.

Evidence

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Related Concepts

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