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Limit of a sequence

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(Redirected fromNull sequence)
Value to which tends an infinite sequence
For the general mathematical concept, seeLimit (mathematics).
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diagram of a hexagon and pentagon circumscribed outside a circle
The sequence given by the perimeters of regularn-sidedpolygons thatcircumscribe theunit circle has a limit equal to the perimeter of the circle, i.e.2π{\displaystyle 2\pi }. The corresponding sequence for inscribed polygons has the same limit.
n{\displaystyle n}n×sin(1n){\displaystyle n\times \sin \left({\tfrac {1}{n}}\right)}
10.841471
20.958851
...
100.998334
...
1000.999983

As the positiveintegern{\textstyle n} becomes larger and larger, the valuen×sin(1n){\textstyle n\times \sin \left({\tfrac {1}{n}}\right)} becomes arbitrarily close to1{\textstyle 1}. We say that "the limit of the sequencen×sin(1n){\textstyle n\times \sin \left({\tfrac {1}{n}}\right)} equals1{\textstyle 1}."

Inmathematics, thelimit of a sequence is the value that the terms of asequence "tend to", and is often denoted using thelim{\displaystyle \lim } symbol (e.g.,limnan{\displaystyle \lim _{n\to \infty }a_{n}}).[1] If such a limit exists and is finite, the sequence is calledconvergent.[2] A sequence that does not converge is said to bedivergent.[3] The limit of a sequence is said to be the fundamental notion on which the whole ofmathematical analysis ultimately rests.[1]

Limits can be defined in anymetric ortopological space, but are usually first encountered in thereal numbers.

History

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The Greek philosopherZeno of Elea is famous for formulatingparadoxes that involve limiting processes.

Leucippus,Democritus,Antiphon,Eudoxus, andArchimedes developed themethod of exhaustion, which uses an infinite sequence of approximations to determine an area or a volume. Archimedes succeeded in summing what is now called ageometric series.

Grégoire de Saint-Vincent gave the first definition of limit (terminus) of ageometric series in his workOpus Geometricum (1647): "Theterminus of a progression is the end of the series, which none progression can reach, even not if she is continued in infinity, but which she can approach nearer than a given segment."[4]

Pietro Mengoli anticipated the modern idea of limit of a sequence with his study of quasi-proportions inGeometriae speciosae elementa (1659). He used the termquasi-infinite forunbounded andquasi-null forvanishing.

Newton dealt with series in his works onAnalysis with infinite series (written in 1669, circulated in manuscript, published in 1711),Method of fluxions and infinite series (written in 1671, published in English translation in 1736, Latin original published much later) andTractatus de Quadratura Curvarum (written in 1693, published in 1704 as an Appendix to hisOptiks). In the latter work, Newton considers the binomial expansion of(x+o)n{\textstyle (x+o)^{n}}, which he then linearizes bytaking the limit aso{\textstyle o} tends to0{\textstyle 0}.

In the 18th century,mathematicians such asEuler succeeded in summing somedivergent series by stopping at the right moment; they did not much care whether a limit existed, as long as it could be calculated. At the end of the century,Lagrange in hisThéorie des fonctions analytiques (1797) opined that the lack of rigour precluded further development in calculus.Gauss in his study ofhypergeometric series (1813) for the first time rigorously investigated the conditions under which a series converged to a limit.

The modern definition of a limit (for anyε{\textstyle \varepsilon } there exists an indexN{\textstyle N} so that ...) was given byBernard Bolzano (Der binomische Lehrsatz, Prague 1816, which was little noticed at the time), and byKarl Weierstrass in the 1870s.

Real numbers

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The plot of a convergent sequence {an} is shown in blue. Here, one can see that the sequence is converging to the limit 0 asn increases.

In thereal numbers, a numberL{\displaystyle L} is thelimit of thesequence(xn){\displaystyle (x_{n})}, if the numbers in the sequence become closer and closer toL{\displaystyle L}, and not to any other number.

Examples

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See also:List of limits

Definition

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We callx{\displaystyle x} thelimit of thesequence(xn){\displaystyle (x_{n})}, which is written

xnx{\displaystyle x_{n}\to x}, or
limnxn=x{\displaystyle \lim _{n\to \infty }x_{n}=x},

if the following condition holds:

For eachreal numberε>0{\displaystyle \varepsilon >0}, there exists anatural numberN{\displaystyle N} such that, for every natural numbernN{\displaystyle n\geq N}, we have|xnx|<ε{\displaystyle |x_{n}-x|<\varepsilon }.[6]

In other words, for every measure of closenessε{\displaystyle \varepsilon }, the sequence's terms are eventually that close to the limit. The sequence(xn){\displaystyle (x_{n})} is said toconverge to ortend to the limitx{\displaystyle x}.

Symbolically, this is:

ε>0(NN(nN(nN|xnx|<ε))){\displaystyle \forall \varepsilon >0\left(\exists N\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies |x_{n}-x|<\varepsilon \right)\right)\right)}.

If a sequence(xn){\displaystyle (x_{n})} converges to some limitx{\displaystyle x}, then it isconvergent andx{\displaystyle x} is the only limit; otherwise(xn){\displaystyle (x_{n})} isdivergent. A sequence that has zero as its limit is sometimes called anull sequence.

Illustration

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Properties

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Some other important properties of limits of real sequences include the following:

limn(an±bn)=limnan±limnbn{\displaystyle \lim _{n\to \infty }(a_{n}\pm b_{n})=\lim _{n\to \infty }a_{n}\pm \lim _{n\to \infty }b_{n}}[5]
limncan=climnan{\displaystyle \lim _{n\to \infty }ca_{n}=c\cdot \lim _{n\to \infty }a_{n}}[5]
limn(anbn)=(limnan)(limnbn){\displaystyle \lim _{n\to \infty }(a_{n}\cdot b_{n})=\left(\lim _{n\to \infty }a_{n}\right)\cdot \left(\lim _{n\to \infty }b_{n}\right)}[5]
limn(anbn)=limnanlimnbn{\displaystyle \lim _{n\to \infty }\left({\frac {a_{n}}{b_{n}}}\right)={\frac {\lim \limits _{n\to \infty }a_{n}}{\lim \limits _{n\to \infty }b_{n}}}} providedlimnbn0{\displaystyle \lim _{n\to \infty }b_{n}\neq 0}[5]
limnanp=(limnan)p{\displaystyle \lim _{n\to \infty }a_{n}^{p}=\left(\lim _{n\to \infty }a_{n}\right)^{p}}

These properties are extensively used to prove limits, without the need to directly use the cumbersome formal definition. For example, once it is proven that1/n0{\displaystyle 1/n\to 0}, it becomes easy to show—using the properties above—thatab+cnab{\displaystyle {\frac {a}{b+{\frac {c}{n}}}}\to {\frac {a}{b}}} (assuming thatb0{\displaystyle b\neq 0}).

Infinite limits

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A sequence(xn){\displaystyle (x_{n})} is said totend to infinity, written

xn{\displaystyle x_{n}\to \infty }, or
limnxn={\displaystyle \lim _{n\to \infty }x_{n}=\infty },

if the following holds:

For every real numberK{\displaystyle K}, there is a natural numberN{\displaystyle N} such that for every natural numbernN{\displaystyle n\geq N}, we havexn>K{\displaystyle x_{n}>K}; that is, the sequence terms are eventually larger than any fixedK{\displaystyle K}.

Symbolically, this is:

KR(NN(nN(nNxn>K))){\displaystyle \forall K\in \mathbb {R} \left(\exists N\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies x_{n}>K\right)\right)\right)}.

Similarly, we say a sequencetends to minus infinity, written

xn{\displaystyle x_{n}\to -\infty }, or
limnxn={\displaystyle \lim _{n\to \infty }x_{n}=-\infty },

if the following holds:

For every real numberK{\displaystyle K}, there is a natural numberN{\displaystyle N} such that for every natural numbernN{\displaystyle n\geq N}, we havexn<K{\displaystyle x_{n}<K}; that is, the sequence terms are eventually smaller than any fixedK{\displaystyle K}.

Symbolically, this is:

KR(NN(nN(nNxn<K))){\displaystyle \forall K\in \mathbb {R} \left(\exists N\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies x_{n}<K\right)\right)\right)}.

If a sequence tends to infinity or minus infinity, then it is divergent. However, a divergent sequence need not tend to plus or minus infinity, and the sequencexn=(1)n{\displaystyle x_{n}=(-1)^{n}} provides one such example.

Metric spaces

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Definition

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A pointx{\displaystyle x} of themetric space(X,d){\displaystyle (X,d)} is thelimit of thesequence(xn){\displaystyle (x_{n})} if:

For eachreal numberε>0{\displaystyle \varepsilon >0}, there is anatural numberN{\displaystyle N} such that, for every natural numbernN{\displaystyle n\geq N}, we haved(xn,x)<ε{\displaystyle d(x_{n},x)<\varepsilon }.

Symbolically, this is:

ε>0(NN(nN(nNd(xn,x)<ε))){\displaystyle \forall \varepsilon >0\left(\exists N\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies d(x_{n},x)<\varepsilon \right)\right)\right)}.

This coincides with the definition given for real numbers whenX=R{\displaystyle X=\mathbb {R} } andd(x,y)=|xy|{\displaystyle d(x,y)=|x-y|}.

Properties

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Cauchy sequences

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Main article:Cauchy sequence
The plot of a Cauchy sequence (xn), shown in blue, asxn{\displaystyle x_{n}} versusn. Visually, we see that the sequence appears to be converging to a limit point as the terms in the sequence become closer together asn increases. In thereal numbers every Cauchy sequence converges to some limit.

A Cauchy sequence is a sequence whose terms ultimately become arbitrarily close together, after sufficiently many initial terms have been discarded. The notion of a Cauchy sequence is important in the study of sequences inmetric spaces, and, in particular, inreal analysis. One particularly important result in real analysis is theCauchy criterion for convergence of sequences: a sequence of real numbers is convergent if and only if it is a Cauchy sequence. This remains true in othercomplete metric spaces.

Topological spaces

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Definition

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A pointxX{\displaystyle x\in X} of the topological space(X,τ){\displaystyle (X,\tau )} is alimit orlimit point[7][8] of thesequence(xn)nN{\displaystyle \left(x_{n}\right)_{n\in \mathbb {N} }} if:

For everyneighbourhoodU{\displaystyle U} ofx{\displaystyle x}, there exists someNN{\displaystyle N\in \mathbb {N} } such that for everynN{\displaystyle n\geq N}, we havexnU{\displaystyle x_{n}\in U}.[9]

This coincides with the definition given for metric spaces, if(X,d){\displaystyle (X,d)} is a metric space andτ{\displaystyle \tau } is the topology generated byd{\displaystyle d}.

A limit of a sequence of points(xn)nN{\displaystyle \left(x_{n}\right)_{n\in \mathbb {N} }} in a topological spaceT{\displaystyle T} is a special case of alimit of a function: thedomain isN{\displaystyle \mathbb {N} } in the spaceN{+}{\displaystyle \mathbb {N} \cup \lbrace +\infty \rbrace }, with theinduced topology of theaffinely extended real number system, therange isT{\displaystyle T}, and the function argumentn{\displaystyle n} tends to+{\displaystyle +\infty }, which in this space is alimit point ofN{\displaystyle \mathbb {N} }.

Properties

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In aHausdorff space, limits of sequences are unique whenever they exist. This need not be the case in non-Hausdorff spaces; in particular, if two pointsx{\displaystyle x} andy{\displaystyle y} aretopologically indistinguishable, then any sequence that converges tox{\displaystyle x} must converge toy{\displaystyle y} and vice versa.

Hyperreal numbers

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The definition of the limit using thehyperreal numbers formalizes the intuition that for a "very large" value of the index, the corresponding term is "very close" to the limit. More precisely, a real sequence(xn){\displaystyle (x_{n})} tends toL if for every infinitehypernaturalH{\textstyle H}, the termxH{\displaystyle x_{H}} is infinitely close toL{\textstyle L} (i.e., the differencexHL{\displaystyle x_{H}-L} isinfinitesimal). Equivalently,L is thestandard part ofxH{\displaystyle x_{H}}:

L=st(xH){\displaystyle L={\rm {st}}(x_{H})}.

Thus, the limit can be defined by the formula

limnxn=st(xH){\displaystyle \lim _{n\to \infty }x_{n}={\rm {st}}(x_{H})}.

where the limit exists if and only if the righthand side is independent of the choice of an infiniteH{\textstyle H}.

Sequence of more than one index

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Sometimes one may also consider a sequence with more than one index, for example, a double sequence(xn,m){\displaystyle (x_{n,m})}. This sequence has a limitL{\displaystyle L} if it becomes closer and closer toL{\displaystyle L} when bothn andm becomes very large.

Example

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Definition

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We callx{\displaystyle x} thedouble limit of thesequence(xn,m){\displaystyle (x_{n,m})}, written

xn,mx{\displaystyle x_{n,m}\to x}, or
limnmxn,m=x{\displaystyle \lim _{\begin{smallmatrix}n\to \infty \\m\to \infty \end{smallmatrix}}x_{n,m}=x},

if the following condition holds:

For eachreal numberε>0{\displaystyle \varepsilon >0}, there exists anatural numberN{\displaystyle N} such that, for every pair of natural numbersn,mN{\displaystyle n,m\geq N}, we have|xn,mx|<ε{\displaystyle |x_{n,m}-x|<\varepsilon }.[10]

In other words, for every measure of closenessε{\displaystyle \varepsilon }, the sequence's terms are eventually that close to the limit. The sequence(xn,m){\displaystyle (x_{n,m})} is said toconverge to ortend to the limitx{\displaystyle x}.

Symbolically, this is:

ε>0(NN(n,mN(n,mN|xn,mx|<ε))){\displaystyle \forall \varepsilon >0\left(\exists N\in \mathbb {N} \left(\forall n,m\in \mathbb {N} \left(n,m\geq N\implies |x_{n,m}-x|<\varepsilon \right)\right)\right)}.

The double limit is different from taking limit inn first, and then inm. The latter is known asiterated limit. Given that both the double limit and the iterated limit exists, they have the same value. However, it is possible that one of them exist but the other does not.

Infinite limits

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A sequence(xn,m){\displaystyle (x_{n,m})} is said totend to infinity, written

xn,m{\displaystyle x_{n,m}\to \infty }, or
limnmxn,m={\displaystyle \lim _{\begin{smallmatrix}n\to \infty \\m\to \infty \end{smallmatrix}}x_{n,m}=\infty },

if the following holds:

For every real numberK{\displaystyle K}, there is a natural numberN{\displaystyle N} such that for every pair of natural numbersn,mN{\displaystyle n,m\geq N}, we havexn,m>K{\displaystyle x_{n,m}>K}; that is, the sequence terms are eventually larger than any fixedK{\displaystyle K}.

Symbolically, this is:

KR(NN(n,mN(n,mNxn,m>K))){\displaystyle \forall K\in \mathbb {R} \left(\exists N\in \mathbb {N} \left(\forall n,m\in \mathbb {N} \left(n,m\geq N\implies x_{n,m}>K\right)\right)\right)}.

Similarly, a sequence(xn,m){\displaystyle (x_{n,m})}tends to minus infinity, written

xn,m{\displaystyle x_{n,m}\to -\infty }, or
limnmxn,m={\displaystyle \lim _{\begin{smallmatrix}n\to \infty \\m\to \infty \end{smallmatrix}}x_{n,m}=-\infty },

if the following holds:

For every real numberK{\displaystyle K}, there is a natural numberN{\displaystyle N} such that for every pair of natural numbersn,mN{\displaystyle n,m\geq N}, we havexn,m<K{\displaystyle x_{n,m}<K}; that is, the sequence terms are eventually smaller than any fixedK{\displaystyle K}.

Symbolically, this is:

KR(NN(n,mN(n,mNxn,m<K))){\displaystyle \forall K\in \mathbb {R} \left(\exists N\in \mathbb {N} \left(\forall n,m\in \mathbb {N} \left(n,m\geq N\implies x_{n,m}<K\right)\right)\right)}.

If a sequence tends to infinity or minus infinity, then it is divergent. However, a divergent sequence need not tend to plus or minus infinity, and the sequencexn,m=(1)n+m{\displaystyle x_{n,m}=(-1)^{n+m}} provides one such example.

Pointwise limits and uniform limits

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For a double sequence(xn,m){\displaystyle (x_{n,m})}, we may take limit in one of the indices, say,n{\displaystyle n\to \infty }, to obtain a single sequence(ym){\displaystyle (y_{m})}. In fact, there are two possible meanings when taking this limit. The first one is calledpointwise limit, denoted

xn,mympointwise{\displaystyle x_{n,m}\to y_{m}\quad {\text{pointwise}}}, or
limnxn,m=ympointwise{\displaystyle \lim _{n\to \infty }x_{n,m}=y_{m}\quad {\text{pointwise}}},

which means:

For eachreal numberε>0{\displaystyle \varepsilon >0} and each fixednatural numberm{\displaystyle m}, there exists a natural numberN(ε,m)>0{\displaystyle N(\varepsilon ,m)>0} such that, for every natural numbernN{\displaystyle n\geq N}, we have|xn,mym|<ε{\displaystyle |x_{n,m}-y_{m}|<\varepsilon }.[11]

Symbolically, this is:

ε>0(mN(NN(nN(nN|xn,mym|<ε)))){\displaystyle \forall \varepsilon >0\left(\forall m\in \mathbb {N} \left(\exists N\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies |x_{n,m}-y_{m}|<\varepsilon \right)\right)\right)\right)}.

When such a limit exists, we say the sequence(xn,m){\displaystyle (x_{n,m})}converges pointwise to(ym){\displaystyle (y_{m})}.

The second one is calleduniform limit, denoted

xn,mymuniformly{\displaystyle x_{n,m}\to y_{m}\quad {\text{uniformly}}},
limnxn,m=ymuniformly{\displaystyle \lim _{n\to \infty }x_{n,m}=y_{m}\quad {\text{uniformly}}},
xn,mym{\displaystyle x_{n,m}\rightrightarrows y_{m}}, or
uniflimnxn,m=ym{\displaystyle {\underset {n\to \infty }{\mathrm {unif} \lim }}\;x_{n,m}=y_{m}},

which means:

For eachreal numberε>0{\displaystyle \varepsilon >0}, there exists a natural numberN(ε)>0{\displaystyle N(\varepsilon )>0} such that, for everynatural numberm{\displaystyle m} and for every natural numbernN{\displaystyle n\geq N}, we have|xn,mym|<ε{\displaystyle |x_{n,m}-y_{m}|<\varepsilon }.[11]

Symbolically, this is:

ε>0(NN(mN(nN(nN|xn,mym|<ε)))){\displaystyle \forall \varepsilon >0\left(\exists N\in \mathbb {N} \left(\forall m\in \mathbb {N} \left(\forall n\in \mathbb {N} \left(n\geq N\implies |x_{n,m}-y_{m}|<\varepsilon \right)\right)\right)\right)}.

In this definition, the choice ofN{\displaystyle N} is independent ofm{\displaystyle m}. In other words, the choice ofN{\displaystyle N} isuniformly applicable to all natural numbersm{\displaystyle m}. Hence, one can easily see that uniform convergence is a stronger property than pointwise convergence: the existence of uniform limit implies the existence and equality of pointwise limit:

Ifxn,mym{\displaystyle x_{n,m}\to y_{m}} uniformly, thenxn,mym{\displaystyle x_{n,m}\to y_{m}} pointwise.

When such a limit exists, we say the sequence(xn,m){\displaystyle (x_{n,m})}converges uniformly to(ym){\displaystyle (y_{m})}.

Iterated limit

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For a double sequence(xn,m){\displaystyle (x_{n,m})}, we may take limit in one of the indices, say,n{\displaystyle n\to \infty }, to obtain a single sequence(ym){\displaystyle (y_{m})}, and then take limit in the other index, namelym{\displaystyle m\to \infty }, to get a numbery{\displaystyle y}. Symbolically,

limmlimnxn,m=limmym=y{\displaystyle \lim _{m\to \infty }\lim _{n\to \infty }x_{n,m}=\lim _{m\to \infty }y_{m}=y}.

This limit is known asiterated limit of the double sequence. The order of taking limits may affect the result, i.e.,

limmlimnxn,mlimnlimmxn,m{\displaystyle \lim _{m\to \infty }\lim _{n\to \infty }x_{n,m}\neq \lim _{n\to \infty }\lim _{m\to \infty }x_{n,m}} in general.

A sufficient condition of equality is given by theMoore-Osgood theorem, which requires the limitlimnxn,m=ym{\displaystyle \lim _{n\to \infty }x_{n,m}=y_{m}} to be uniform inm{\textstyle m}.[10]

See also

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Notes

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  1. ^abCourant (1961), p. 29.
  2. ^Weisstein, Eric W."Convergent Sequence".mathworld.wolfram.com. Retrieved2020-08-18.
  3. ^Courant (1961), p. 39.
  4. ^Van Looy, H. (1984). A chronology and historical analysis of the mathematical manuscripts of Gregorius a Sancto Vincentio (1584–1667). Historia Mathematica, 11(1), 57-75.
  5. ^abcdefg"Limits of Sequences | Brilliant Math & Science Wiki".brilliant.org. Retrieved2020-08-18.
  6. ^Weisstein, Eric W."Limit".mathworld.wolfram.com. Retrieved2020-08-18.
  7. ^Dugundji 1966, pp. 209–210.
  8. ^Császár 1978, p. 61.
  9. ^Zeidler, Eberhard (1995).Applied functional analysis : main principles and their applications (1 ed.). New York: Springer-Verlag. p. 29.ISBN 978-0-387-94422-7.
  10. ^abZakon, Elias (2011). "Chapter 4. Function Limits and Continuity".Mathematical Anaylysis, Volume I. p. 223.ISBN 9781617386473.
  11. ^abHabil, Eissa (2005)."Double Sequences and Double Series". Retrieved2022-10-28.

Proofs

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  1. ^Proof: ChooseN=1{\displaystyle N=1}. For everynN{\displaystyle n\geq N},|xnc|=0<ε{\displaystyle |x_{n}-c|=0<\varepsilon }
  2. ^Proof: Choose an integerN>1ε.{\displaystyle N>{\frac {1}{\varepsilon }}.} For everynN{\displaystyle n\geq N}, one has|xn0|=1n1N<ε{\displaystyle |x_{n}-0|={\frac {1}{n}}\leq {\frac {1}{N}}<\varepsilon }.

References

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External links

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Precalculus
Limits
Differential calculus
Integral calculus
Vector calculus
Multivariable calculus
Sequences and series
Special functions
and numbers
History of calculus
Lists
Integrals
Miscellaneous topics
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