Interesting bounding of Analytic Functions

In summary, the conversation discusses the existence of a function in the upper half-plane that is unbounded but has bounded derivatives. It is shown that such a function does exist, with the example given being f(s)=s+exp(s) for Re s < 0. It is also discussed that if f'' exists everywhere, then f' must be a constant according to Liouville's theorem. However, another counter example is given with sin(z)+z. The question is posed if in a similar scenario, can any other derivative of f be unbounded.
  • #1
Hyperbolful
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A general question I came up with and it might be trivial, but I'm not entirely sure what the answer is.

Does there exist a function analytic in the upperhalf plane that is unbounded and all of its derivatives are bounded but not identically zero?

or equivilently
does
d^n/(dz)^n(f)<M for every n imply that f is bounded
 
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  • #2
>Does there exist a function analytic in the upperhalf plane that is unbounded and all of its derivatives are bounded but not identically zero?

Yes.

Consider the function f(s)=s+exp(s). For Re s < 0, |f(s)| > |s+1|, so it's unbounded in the left half-plane.

It's derivatives are either 1+exp(s) or exp(s) and they are bounded for Re s < 0 with magnitudes in the range (0,2).

So the function has bounded derivatives in a half plane yet is itself unbounded there.

To make it the upper halfplane instead of the left halfplane just use f(is) instead of f(s).
 
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  • #3
>does d^n/(dz)^n(f)<M for every n imply that f is bounded

If f '' exists everywhere then f ' is entire. Since it is entire and bounded, it is a constant (http://en.wikipedia.org/wiki/Liouville's_theorem_(complex_analysis)). Thus f is either a constant (which is bounded) or it's As+B which is unbounded.
 
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  • #4
Yeah another counter example is sin(z)+z
I'm going to post a better thread

let f be analytic in some domain not the entire plane, and let f' be bounded

can f'' or any other derivative for that matter be unbounded?
 

FAQ: Interesting bounding of Analytic Functions

What are some real-world applications of interesting bounding of analytic functions?

Interesting bounding of analytic functions has various applications in fields such as physics, engineering, and economics. For example, it can be used to analyze the stability of a physical system, optimize the design of a mechanical structure, or model the behavior of financial markets.

How is interesting bounding of analytic functions different from other methods of function analysis?

Interesting bounding of analytic functions is a relatively new method of function analysis that focuses on finding the most interesting and informative bounds for a given function. It differs from other methods, such as Taylor series expansion or Fourier analysis, in that it does not assume any specific form or structure for the function being analyzed.

Can interesting bounding of analytic functions be applied to functions with multiple variables?

Yes, interesting bounding of analytic functions can be extended to functions with multiple variables. In this case, the bounding problem becomes more complex, but it can still provide valuable insights about the behavior of the function and its relationship with its input variables.

How does the concept of "interestingness" play a role in interesting bounding of analytic functions?

The concept of "interestingness" is central to interesting bounding of analytic functions. It refers to the idea of finding the most informative and useful bounds for a given function, rather than just any bound that satisfies certain mathematical criteria. This allows for a more focused and relevant analysis of the function and its behavior.

Are there any limitations to interesting bounding of analytic functions?

Like any method of function analysis, interesting bounding of analytic functions has its limitations. It is most effective for smooth, well-behaved functions, and may not work well for functions with discontinuities or highly oscillatory behavior. Additionally, it may be computationally intensive for complex functions or high-dimensional problems.

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