Informally, a succession of real numbers is a list limited by numbers s1,s2,s3,s4,⋯,sn,⋯ (where n indicates the place in the number sn list); it's obvious that this is a real function with domain N
Succession
A succession of elements of a set is an application domain N and codomain said set. In particular, a sequence of real numbers is a real function with domain R, that is, an application s∣N→R
Traditionally, the value that a succession takes in each n∈N it is denoted by sn, instead of s(n) like any other function. We will usually refer to sn with the name of the nth term of a succession, but it should not be overlooked that each term carries a double information: its value and the n place it occupies
As the domain N is common to all successions, rather than using notation s∣N→R, is more common to find notations of the type (sn)n∈N or (sn)n=1∞, {sn}n=1∞ or (sn), if it does not lead to confusion, or similar, with greater emphasis on the terms
Although notation may lead to confusion, it should not be necessary to insist on the difference between succession and the set of values that the succession takes, which is the same as between any function and its set of values (image set or range); note, for example, that a succession always has infinite terms even if it takes a single value, as is the case with constant successions
Successions are indicated by giving a formula that defines the term nth, the most common being:
Constant succession: sn=a, where a is a prefixed real number and consists of the terms a,a,a,a,⋯,a,⋯
Succession of natural numbers: sn=n, consists of the terms 1,2,3,4,⋯,n,⋯
Succession of fractional numbers: sn=n1, consists of the terms 1,21,31,41,⋯,n1,⋯
Succession of 1, -1: sn=(−1)n, consists of the terms −1,1,−1,1,⋯,(−1)n,⋯
Complex algebraic successions:
Formulas do not have to refer only to simple algebraic operations. For example, the succession of decimal approximations of π, consists of the terms 3.1,3.14,3.141,3.1415,⋯,3.14159265,⋯
We can give an explicit formula for the nth term with the help of the entire part function, even if we did not know how to write all the figures of the term, for example, a million
Specifically, for each n∈N,sn=3+10a1+102a2+⋯+10kak+⋯+10nan where ak=[10k⋅π]−10⋅[10k−1⋅π](1≤k≤n)
The fact that this formula does not provide a computational algorithm for the ak it does not prevent that these are defined without ambiguity and without any exception
Recurring successions:
This name is given successions whose terms are defined according to the above (by means of an inductive or recursive definition). An example of this type is the succession of Fibonacci:
s1=s2=1,sn+2=sn+1+sn,n∈N, consists of the terms 1,1,2,3,5,8,13,21,34,55,89,144,⋯
Succession of non-mathematical
The rule that defines a succession does not have to be of a strictly mathematical character. For example, we can define a succession as follows:
sn={3107nif the name of the number n contains the letter dotherwise
Or any other condition allowing to ensure that for each n∈N is associated with it without exception, unequivocally a single perfectly defined real number
Succession, which is exactly a set numerical
There are successions whose rank is exactly Z or Q; the usual construction is done through The Diagonal Process of Cantor
s1=0,s2=1,s3=21,s4=2−1,⋯
This construction, which supports repeated, allows to prove that the whole of the rationals is numerable; that is, its cardinal matches that of the natural
Limit of the succession
A succession (sn) it is said convergent if there is a real number such that for each ϵ>0 you can find a natural number N=N(ϵ) so as long as n>N check ∥sn−a∥<ϵ
It is then said that the number is limit of the succession(sn) and writes a=n→∞limsn. We'll also say that snconverges the number to
The expression sn→a is used to indicate that the sequence of nth term sn is convergent and has the limit
Remember that the inequality ∥sn−a∥<ϵ it is equivalent to the two inequalities −ϵ<sn−a<ϵ that are equivalent to the inequalities a−ϵ<sn<a+ϵ
The constant succession sn=c(c∈R) converges to the number ϵ
The succession sn=n1 converges to 0 (as a result of The Archemedian property)
The succession sn=(−1)n is not convergent if I had limit 1, taking ϵ=2 in defining limit, it would have to be ∥sn−1∥<2 for all n big enough; However ∥sn−1∥=2 for all odd n'n. And if I had a limit a=1, taking ϵ=∥1−a∥, it would have to be ∥sn−a∥<∥1−a∥ for all n big enough; However ∥sn−a∥=∥1−a∥ for all n pairs
Conclusion: the succession has no limit
The succession sn=n can't be convergent, because if I had a limit to, taking ϵ=1 in the definition of convergence, for some N would have to be n<a+1 as long as n was greater than N, which is impossible (as a result of Archimadian property)
Proposition: uniqueness of the boundary of a succession
It (sn) a succession convergent and a,b∈R such that a=n→∞limsn,b=n→∞limsn then a=b
Demonstration
Since a and b are the limits of the succession snDice ϵ>0 there will be N and N' such that
{∥sn−a∥≤2ϵ∥sn−b∥≤2ϵif n>Nif n>N′
Then ∥a−b∥=∥a−sn+sn−b∥≤∥sn−a∥+∥sn−b∥<2ϵ+2ϵ=ϵ, therefore ∥a−b∥=0→a=b
Conclusion: the limit of a sequence converging is the unique real number to which the succession converges
Succession bounded
A succession (sn)n=1∞ it is said that is bounded superiorly if there is a number C∈R such that for all n∈N,sn≤C
It is said that is bounded inferiorly if there is a number K∈R such that for all n∈N,K≤sn
It is said that is limited if it's top and bottom. It is equivalent to saying that there is a number M≥0 such that for all n∈N,∥sn∥≤M
Proposition: Convergent and bounded
The whole succession is convergent it is bounded
Demonstration
It (sn) a sequence converging to a number a∈R
We take ϵ=1 in the definition of limit, and there will be some N∈N such that ∥sn−a∥<1 for all n>N
If B=max{1,∥s1−a∥,∥s2−a∥,⋯,∥sN−a∥} you have to ∥sn−a∥≤B, that is to say, a−B≤sn≤a+B for all n∈N
Conclusion: the succession is bounded
Succession monotonous
A succession (sn) it is monotonically non decreasing if ∀n∈N verified sn≤sn+1
A succession (sn) it is monotonically non-increasing if ∀n∈N verified sn≥sn+1
A succession (sn) it is strictly increasing if ∀n∈N verified sn<sn+1
A succession (sn) it is strictly decreasing if ∀n∈N verified sn>sn+1
A succession is monotonous if you meet any of the above cases
Proposition: equivalence with convergence at 0
If (sn) it is a succession bounded and (tn) is a convergent succession to 0, succession (sn⋅tn) converges to 0
Demonstration
It ϵ>0,K>0 such that ∥sn∥≤K,∀n∈N
Using the definition of convergence of tn for Kϵ you have to ∥sn⋅tn∥≤K⋅∥tn∥≤K⋅Kϵ=ϵ
Conclusion:(sn⋅tn) converges to 0
Proposition: convergent if lying above or below
It (sn) a non-decreasing monotonous succession. Then (sn) is convergent if and only if it is lying down higher, in which case n→∞limsn=sup{sn∣n∈N}
It (sn) a monotonous non-increasing succession. So (sn) is convergent if and only if it is bounded below, in which case n→∞limsn=inf{sn∣n∈N}
Demonstration: A
It (sn) a non-decreasing monotonous succession. If the succession converges then it is bound (above); this demonstrates an implication of section A
Now suppose that the succession is superiorly bound, be it to its supreme and we will see that the succession converges to the point a
It ϵ>0 and as a−ϵ<a, the number a−ϵ it may not be an upper bound of the sequence and therefore there will be some N∈N such that a−ϵ<sN
As succession is non-diminishing, for every n>N you have to a−ϵ<sN≤sN+1≤⋯≤sn and therefore, a−ϵ<sn<a+ϵ
Conclusion: the succession converges to the point
Demonstration: B
It (sn) an unsrising monotonous succession. If the succession converges then it is bound (lower); this demonstrates an implication of paragraph B
Now suppose the succession is lower, be b its limit and we will see that the succession converges to point b
It ϵ>0 and as b−ϵ>b, the number b−ϵ may not be a lower bound of the sequence and therefore there will be some N∈N such that b−ϵ>sN
As succession is non-increasing, for every n<N you have to b−ϵ>sN≥sN+1≥⋯≥sn and therefore, b−ϵ>sn>b+ϵ
Conclusion: the succession converges to point b
Proposition: Converging succession equivalences
Are (sn) and (tn) succession are convergent with limits a=n→∞limsn,b=n→∞limtn and c∈C
(sn+tn) is convergent and has limit a+b
(c⋅sn) is convergent and has limit c⋅a
(sn⋅tn) is convergent and has limit a⋅b
If the succession (tn) contains no terms null and b=0 then (tnsn) is convergent and has limit (ba)
Demonstration: A
It ϵ>0 a=n→∞limsn⇒∃ω1 such that ∥sn−a∥<2ϵ;∀n>N1 with n,N1∈N b=n→∞limtn⇒∃ω2 such that ∥tn−b∥<2ϵ;∀n>N2 with n,N2∈N
Then N>max{N1,N2}, therefore if n>N is true that ∥(sn+tn)−(a+b)∥≤∥(sn−a)∥+∥(tn−b)∥ < 2ϵ+2ϵ=ϵ
Conclusion: the succession (sn+tn) is convergent and has limit a+b
Demonstration: B
If c=0 the result is trivial. So we'll assume that c=0 ∃n,N1∈N such that n>N1 then ∥sn−a∥<∥c∥ϵ
Then ∥c⋅sn−c⋅a∥=∥c∥⋅∥sn−a∥<∥c∥∥c∥⋅c=ϵ
Conclusion: the succession (c⋅sn) is convergent and has limit c⋅a
Demonstration: C
It ϵ>0 a=n→∞limsn⇒∃ω1 such that ∥sn−a∥<2⋅∥b∥+1ϵ;∀n>N1 with n,N1∈N b=n→∞limtn⇒∃ω2 such that ∥tn−b∥<2⋅Kϵ;∀n>N2 with n,N2∈N
Then ∥sn⋅tn−a⋅b∥=∥sn⋅tn−sn⋅b−a⋅b∥≤∥sn∥⋅∥tn−b∥+∥b∥⋅∥sn−a∥≤K⋅2⋅Kϵ+∥b∥⋅2⋅∥b∥+1ϵ<ϵ
Conclusion: the succession (sn⋅tn) is convergent and has limit a⋅b
Demonstration: D
It ϵ>0 ∥∥tnsn−ba∥∥=∥∥b⋅tnsn⋅b−tn⋅a∥∥=∥∥∥b∥⋅∥tn∥sn⋅b−tn⋅a∥∥=∥∥∥b∥⋅∥tn∥sn⋅b+sn⋅tn−sn⋅tn−tn⋅a∥∥≤∥∥∥b∥⋅∥tn∥∥sn∥⋅∥tn−b∥+∥tn∥⋅∥sn−a∥∥∥
Then ∃n,N1∈N such that if n>N1 you have to ∥tn∥>2∥b∥
By be sn and tn inheritance of convergent ∃K1,K2>0;∀n∈N such that ∥sn∥<K1 and ∥tn∥<K2
Then for the limit sn∃n,N2∈N such that if n>N2 you have to ∥sn−a∥<4⋅K2ϵ⋅∥b∥2
Then for the limit tn∃n,N3∈N such that if n>N3 you have to ∥tn−b∥<4⋅K1ϵ⋅∥b∥2
Then n>max{N1,N2,N3}, therefore if n>N is true that ∥∥tnsn−ba∥∥≤∥∥∥b∥⋅∥tn∥∥sn∥⋅∥tn−b∥+∥tn∥⋅∥sn−a∥∥∥<2∥b∥⋅∥b∥k1⋅4⋅K1ϵ⋅∥b∥2+k2⋅4⋅K2ϵ⋅∥b∥2=ϵ
Conclusion: the succession (tnsn) is convergent and has limit (ba)
Proposition: existence of limited intervals in convergent successions
Are (sn) and (tn) convergent successions and ∃m∣sn⩽tn∀n>m
Then n→∞limsn⩽n→∞limtn
Demonstration
The succession tn−sn meets inequality 0⩽tn−sn,∀n>m and converges to n→∞limtn−n→∞limsn
We replace inequality 0⩽n→∞limtn−n→∞limsn, therefore it is fulfilled that n→∞limsn⩽n→∞limtn
Conclusion: the bounded interval exists sn⩽tn for convergent successions (sn) and (tn)
Cantor's Theorem of embedded intervals
As a result of the proposition of limited intervals in convergent successions we can list the Theorem of Cantor of the fitted intervals so that the intersection is formed by a single point
∀n∈N, it In=[an,bn]≤∅ a closed interval
Suppose that In+1⊆In that is to say an⩽an+1⩽bn+1⩽bn and that in addition n→∞lim(bn−an)=0
Then ∈N⋂In={x} where x=n→∞liman=n→∞limbn
Demonstration
By hypothesis, succession (an) is monotonous, non-decreasing and quoted superiorly (for example b1), therefore converging x∈R
Similarly, succession (bn) converges to r∈R and by the previous proposition an⩽x⩽r⩽bn,∀n∈N
We replace the condition n→∞lim(bn−an)=0 that assures us that x=r and that {x}=n∈N⋂In
With what is proven the Cantor's Theorem of embedded intervals
Proposition: Sandwich Rule
Are (sn),(tn) and (un) and ∃m∈N∣sn⩽tn⩽un,∀n>m
If (sn) and (un) are convergent successions and n→∞limsn=n→∞limun=a
Then (tn) is also convergent and n→∞limtn=a
Demonstration
It ϵ>0, by the definition of limit ∃N1∈N⇒if n>N1→∥sn−a∥<ϵ
That is to say a−ϵ<sn<a+ϵ
Similarly ∃N2∈N⇒if n>N2→∥un−a∥<ϵ
So if n>maˊx{m,N1,N2} you have to a−ϵ<sn⩽tn⩽un<a+ϵ or what's equivalent ∥tn−a∥<ϵ
With what we've tried the Sandwich Rule
Web page of Sergio Cárcamo Garcia dedicated to the computing and related topics such as programming languages, statistics, mathematics, etc
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