Order of Expression: c,m,logm,2^j-1/2, m^o(logm) Explained

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Discussion Overview

The discussion centers around the mathematical expression involving a summation and its relationship to the largest term within that sum. Participants explore the implications of the claim that the sum is of the same order as its largest term, particularly in the context of asymptotic analysis and bounds. The scope includes mathematical reasoning and theoretical exploration.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • Bincy introduces a summation expression and requests clarification on its relationship to the term \(m^{o(\log m)}\), noting that \(c > 0\) and \(m \geq 2\).
  • Some participants propose that if the sum is of the same order as its largest term, one must identify the largest term or at least establish a bound on it, particularly for large \(m\).
  • CB suggests maximizing the function \(f(x) = \left[ \frac{c m \log(m)}{2^{\frac{x-1}{2}}} \right]^x\) to find the largest term and uses this to argue that the leading term is dominant.
  • CB further elaborates that to show the result, one must demonstrate that \(f(m) \leq m^{o(\log(m))}\) for large \(m\), leading to a limit involving \(\log(f(m))\) and \(m\).
  • Another participant points out the equivocation in the claim that the sum is of the same order as its largest term, arguing that this assertion is not generally true and requires proof.
  • CB introduces an integral analogue to illustrate the ambiguity, noting that the properties of the integral do not support the claim that the sum behaves as suggested.

Areas of Agreement / Disagreement

Participants express differing views on the validity of the claim that the sum is of the same order as its largest term. While some support this assertion, others challenge its general applicability and call for proof, indicating that the discussion remains unresolved.

Contextual Notes

The discussion highlights ambiguities in the definition of "order" in this context and the need for careful consideration of bounds and conditions under which the claims hold. The relationship between the summation and its largest term is not universally accepted and requires further exploration.

bincy
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Hii Every one,

In one paper I read that, [math]{\displaystyle \sum_{j\geq1}\left(\frac{c*m*logm}{2^{\left(\frac{j-1}{2}\right)}}\right)}^{j}<=m^{o(logm)}
[/math] with the explanation "Since the sum is of the same order as its largest term".

c>0, m>=2. m is an integer.
Can anyone pls explain?Regards,
Bincy
 
Last edited:
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bincybn said:
Hii Every one,

In one paper I read that, [math]{\displaystyle \sum_{j\geq1}K \left(\frac{c*m*logm}{2^{\left(\frac{j-1}{2}\right)}}\right)}^{j}<=m^{o(logm)}
[/math] with the explanation "Since the sum is of the same order as its largest term".

c>0, m>=2. m is an integer.
Can anyone pls explain?Regards,
Bincy

If we accept that the sum is of the same order as its largest term (and this is ambiguous since order in this context is poorly defined) then you need to find the largest term, or at least a bound on it. What I think it is trying to say is that for \(m\) large enough, there exists a \(K>0\) such that:

\[{ \sum_{j\geq1}\left( \frac{c\;m\;\log(m)}{2^{\left(\frac{j-1}{2}\right)}}\right)}^{j} \le K {\left(\frac{c \; m\; \log(m) }{2^{\left( \frac{J-1}{2}\right)}}\right)}^{J}\]

where the right hand side is the largest term.

Do this by finding the \(x\) that maximises:

\[f(x)=\left[ \frac{c\;m\;\log(m)}{2^{\frac{x-1}{2}}}\right]^x \]

and using the function value at this point as a bound on the largest term.

(to me it looks like the leading term is always the largest in this case)

CB
 
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CaptainBlack said:
If we accept that the sum is of the same order as its largest term (and this is ambiguous since order in this context is poorly defined) then you need to find the largest term, or at least a bound on it. What I think it is trying to say is that for \(m\) large enough, there exists a \(K>0\) such that:

\[{ \sum_{j\geq1}\left( \frac{c\;m\;\log(m)}{2^{\left(\frac{j-1}{2}\right)}}\right)}^{j} \le K {\left(\frac{c \; m\; \log(m) }{2^{\left( \frac{J-1}{2}\right)}}\right)}^{J}\]

where the right hand side is the largest term.

Do this by finding the \(x\) that maximises:

\[f(x)=\left[ \frac{c\;m\;\log(m)}{2^{\frac{x-1}{2}}}\right]^x \]

and using the function value at this point as a bound on the largest term.

(to me it looks like the leading term is always the largest in this case)

CB

So the leading term is dominant and is for some \(K\) may be written:

\[f(m)=K m \log(m)\]

so to get the result we need to show that for \(m\) large enough:

\[f(m)\le m^{o(\log(m)} \]

which reduces to:

\[\frac{\log(f(m))}{m}\le o(\log(m))\]

which if we show that:

\[ \lim_{m\to \infty} \frac{\log(f(m))}{m \log(m)} = 0 \]

we are done.

Putting \(x=K m\log(m)\) the limit on the right becomes becomes:

\[ K \lim_{x\to \infty} \frac{\log(x)}{x}\]

which is well known to be \(0\)

CB
 
In an earlier post in this thread I wrote:

CaptainBlack said:
If we accept that the sum is of the same order as its largest term (and this is ambiguous since order in this context is poorly defined) then you need to find the largest term, or at least a bound on it.

The reader should have noted the equivocation in the first part of this. That is because the claim that the sum is of the same order as its largest term is not in general true and would have to be proven for what follows in the earlier posts to hold (allowing for the noted ambiguity in the term "order").

One way to show this is to consider the integral analogue of this via the integrals:

\[ I(\sigma)= \int_0^{\infty} \frac{1}{\sqrt{2\pi} \sigma}e^{- \; \frac{x^2}{2\sigma^2}}\;dx \]

Here the analogue of the largest term is the maximum value of the integrand \(\frac{1}{\sqrt{2 \pi} \sigma}\), but \(I(\sigma)=\frac{1}{2} \notin O(\sigma^{-1})\) or \(o(\sigma^{-1}) \) for that matter.

Note the analogy can be elliminated by considering the series with \(n\)-th term the integral from \(n-1\) to \(n\), then \(I(\sigma)\) is the sum of a series with the properties required of a counter example.

CB
 
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