Help showing bound for magnitude of complex log fcn

L^{-\sigma}In summary, the conversation discusses an example problem in which a bound is used, with the given conditions of s:=\sigma +it and \sigma >1. The person is seeking help on how to prove this bound, and they mention using the principle branch. They also mention the context of L\rightarrow\infty and provide a potential start for the proof using the Taylor series.
  • #1
benorin
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I'm working through an example problem wherein this bound is used:

[tex]\left| \log \left( 1-\frac{1}{L^s}\right) \right| \leq L^{-\sigma},[/tex]

where [tex]s:=\sigma +it[/tex] and it is known that [tex]\sigma >1.[/tex] How do I prove this? Should I assume the principle brach is taken?
 
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  • #2
It is perhaps important to note that in the context, [tex]L\rightarrow\infty[/tex]

I think I got a start:

For [tex]\left| z\right| <1,[/tex] the Taylor series about z=0 is

[tex]\log (1-z)=-\sum_{j=1}^{\infty}\frac{z^j}{j}[/tex]

so that

[tex]\left| \log \left( 1-\frac{1}{L^s}\right) \right| =\left| -\sum_{j=1}^{\infty}\frac{L^{-js}}{j} \right| \leq \sum_{j=1}^{\infty}\left| \frac{L^{-js}}{j}\right| = \sum_{j=1}^{\infty} \frac{L^{-j\sigma}}{j} [/tex]
 
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FAQ: Help showing bound for magnitude of complex log fcn

What is the "bound" in the context of magnitude of complex logarithmic functions?

The "bound" refers to the maximum or minimum value that a function can reach within a given range or domain. In the case of the magnitude of complex logarithmic functions, the bound represents the limit of how large or small the function can be.

Why is it important to show a bound for the magnitude of complex logarithmic functions?

Demonstrating a bound for the magnitude of complex logarithmic functions is important because it allows us to understand the behavior of the function and its relationship to other variables. It also helps us make predictions and draw conclusions based on the given bound.

How can we determine the bound for the magnitude of a complex logarithmic function?

There are various methods for determining the bound of a complex logarithmic function, depending on the specific function and its properties. One common approach is to use calculus and optimization techniques to find the maximum or minimum value of the function within a given range.

What factors can affect the bound for the magnitude of a complex logarithmic function?

The bound for the magnitude of a complex logarithmic function can be influenced by various factors, such as the properties of the function itself (e.g. its domain and range), the constraints of the problem, and the presence of other variables or parameters.

How does the bound for the magnitude of complex logarithmic functions relate to the overall behavior of the function?

The bound for the magnitude of complex logarithmic functions can provide important insights into the overall behavior of the function. For example, if the bound is very large, it may indicate that the function grows rapidly and has a significant impact on other variables. Similarly, a small bound may suggest that the function is relatively stable and does not have a strong influence on other factors.

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