Strange Sequence | Convergent and Divergent Limits Explained

In summary, this conversation is about how the limit for the sum of an infinite series (a_n) diverges.
  • #1
Anonymous217
355
2

Homework Statement


Find sequence [tex](a_n)[/tex] s.t. [tex]\lim_{N\rightarrow \infty} \sum_{n=1}^{2N} a_n[/tex] and [tex]\lim_{N\rightarrow \infty} \sum_{n=1}^{2N+1} a_n[/tex] both converge but [tex]\sum_{n=1}^{\infty} a_n[/tex] diverges.

I have no idea where to start to be honest. I'm confused at how this is possible. Isn't it always just summed to infinity regardless of whether it's 2(x) or 2(x+1) where x-> infinity?
 
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  • #2
[tex]a_n=(-1)^n[/tex]
 
  • #3
Can you explain how that works? I'd rather know what the problems means/is asking instead of really knowing the answer. I was guessing it had to do with alternating series, but I don't know what differentiates 2N, 2N + 1, and N.

Or does it mean that:
for the first sequence
(-1)^n = -1 + 1 + -1 + ... + (-1)^(2N) = (-1)^(2N) -> 1 as n approaches infinity
and same logic for the rest?
That would make sense I guess.

Edit: actually since there's an even number of terms for the first sequence and it goes -1,1, etc., then it should converge to 0. I would assume this is the correct logic to follow, but how is shown rigorously? Clearly, there must be something wrong in saying there is an even # of infinite terms.
 
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  • #4
[tex]\sum_{n=1}^{N}a_n=(-1)^N[/tex]
so the series doesn't converge. On the other hand
[tex]\sum_{n=1}^{2N}a_n=0\qquad\sum_{n=1}^{2N+1}a_n=-1[/tex]
so both limits exist. Sorry I left it w/o explanation, I though it was this kind of problems where the answer is kinda tricky, but easy to verify.
 
  • #5
Yeah, after a bit longer, I recognized the logic. Thanks a bunch! Is there a way to rigorously explain that [tex]\lim_{N\rightarrow \infty} \sum_{n=1}^{2N} a_n=0 [/tex]?
 
  • #6
Since each member of this sequence is zero, the limit is zero as well.
 
  • #7
I'm not really sure how you define member since in my belief, each individual term is -1 or 1. However, I'm assuming you mean member is not the same as term.
Is it valid to say [tex]
\lim_{N\rightarrow \infty} \sum_{n=1}^{2N} a_n= (-1) + 1 + (-1) + 1 + ... = (-1 + 1) + (-1 + 1) + ... = \sum_{n=1}^{\infty} (-1+1) = \sum_{n=1}^{\infty} 0 = 0
[/tex]?
 
  • #8
[tex]\sum_{n=1}^{2N}a_n=0[/tex] for every [tex]N[/tex], and so,
[tex]\lim_{N\rightarrow\infty}\sum_{n=1}^{2N}a_n=\lim_{N\rightarrow\infty}0=0[/tex]
 
  • #9
Oh. Makes sense. Thanks.
 

FAQ: Strange Sequence | Convergent and Divergent Limits Explained

What is a convergent limit?

A convergent limit is a type of limit in mathematics where the value of a sequence or function approaches a finite number as the input approaches a specific value or "limit". This means that as the input gets closer and closer to the limit, the output also gets closer and closer to a specific value.

What is a divergent limit?

A divergent limit is a type of limit in mathematics where the value of a sequence or function does not approach a single, finite number as the input approaches a specific value or "limit". This means that as the input gets closer and closer to the limit, the output does not approach a specific value and instead either gets infinitely large or oscillates between different values.

How do you determine if a limit is convergent or divergent?

To determine if a limit is convergent or divergent, you must evaluate the limit using various methods such as direct substitution, factoring, or using L'Hopital's rule. If the limit approaches a single, finite number, it is convergent. If the limit does not approach a specific value, it is divergent.

What is a strange sequence?

A strange sequence is a type of sequence in mathematics where the terms do not follow a predictable pattern and may exhibit chaotic behavior. These sequences often have divergent limits and can be difficult to analyze using traditional methods.

How are convergent and divergent limits used in real-life applications?

Convergent and divergent limits are used in many real-life applications such as calculus, physics, and engineering. They are particularly useful in modeling and analyzing systems that exhibit chaotic behavior, such as weather patterns or stock market fluctuations. These concepts are also crucial in understanding the behavior of functions and sequences in computer science and data analysis.

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