What is the Induction Proof for Convergence of a Non-Negative Sequence?

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    Induction Proof
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Discussion Overview

The discussion revolves around the proof of convergence for a non-negative sequence through induction, specifically focusing on the boundedness of the sequence of partial sums. Participants explore the validity of using induction in this context and the necessary conditions for establishing convergence.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant proposes that showing the sequence of partial sums is bounded is sufficient to prove convergence.
  • Another participant argues that finite sums are always bounded and that induction cannot be applied to infinite sequences, questioning the existence of a supremum for all partial sums.
  • A different participant emphasizes the need to show that for any given epsilon greater than zero, there exists a natural number N such that the difference between the partial sum and a limit S is less than epsilon for all n greater than N.
  • Another participant agrees that the non-negativity of the terms implies that if all partial sums are bounded, then they form a bounded monotone sequence, which would imply convergence.
  • One participant expresses appreciation for the clarification regarding the subtleties of the argument related to boundedness of partial sums.
  • Another participant reiterates that induction only applies to finite cases and cannot be used to prove statements about infinite sequences.

Areas of Agreement / Disagreement

Participants express disagreement regarding the application of induction to prove convergence of the sequence of partial sums. There is no consensus on whether the initial argument sufficiently demonstrates convergence.

Contextual Notes

Participants highlight limitations in the original proof, particularly regarding the assumptions about boundedness and the nature of induction in the context of infinite sequences.

Sisyphus
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something funny's going on here, and I can't see what For a sequence [tex]{x_n}[/tex] , where each term is non-negative

the series [tex]x_1 + x_2 + ... +x_n + ...[/tex] converges

proof:

it will suffice to show that the sequence of partial sums [tex]{s_n}[/tex] is bounded

where each [tex]s_i = x_1 + ... + x_i[/tex]

when i=1,
[tex]s_1 = x_1[/tex]

so the result holds true for i=1

let the result be true for all positive numbers up to some k such that

[tex]s_k <= some b[/tex]

now consider [tex]s_{k+1}[/tex]...

[tex]s_{k+1} = s_k + x_{k+1} <= b + x_{k+1}[/tex]

so the result holds true for all k= 1, 2, 3 ...
 
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Of course finite sums are always bounded!

You're implicitly implying that there are infinitely many partial sums. Induction doesn't work for infinity, it only works for a given natural number.

ie, you haven't shown that the supremum of all partial sums exists.
 
Sisyphus said:
it will suffice to show that the sequence of partial sums [tex]{s_n}[/tex] is bounded
no it won't

You need to show: there exist a S such that for any given Epsilon greater than 0 there exist a N (element of the natural numbers) where |S_n - S| < Epsilon provided that n>N.
 
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JonF said:
no it won't

You need to show: there exist a S such that for any given Epsilon greater than 0 there exist a N (element of the natural numbers) where |S_n - S| < Epsilon provided that n>N.

Well, since the terms in the partial sums are non-negative all he has to show is that ALL the partial sums are bounded by some number. And then he has a bounded monotone sequence of partial sums which implies they converge.

The induction showed that for every partial sum s_n there existed a number b such that s_n<b. This DOES NOT mean there exists an m such that s_n<=M for all n.
 
ah, thanks for clearly that up. That's kind of subtle, and I doubt I would've figured it out by myself..

i guess i forgot that one of the reasons why we speak of partial sums in the first place is that they are all bound..
:smile:
 
Induction doesn't work that way! Induction on n shows that statement Sn is true for any finite n.
 

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