Asymptotic behavior and derivatives

In summary, the conversation discusses the behavior of derivatives of functions as x approaches infinity. For most "nice" functions, the derivative makes fast growing things grow even faster and slow growing things grow even slower. However, this pattern does not hold for "bad" functions. The conversation also explores the question of what class of functions behave like this and suggests that the class of convex functions may fit this pattern.
  • #1
maze
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If you take the derivative of, say, xk, you get kxk-1, a function that grows more slowly as x approaches infinity. On the other hand, if you take the derivative of xx, you get xx( ln(x) + 1), a function that grows faster than xx. In fact, if you do this experiment with most standard "nice" functions, you will find that that the derivative makes fastly growing things grow even faster, and slowly growing things grow even slower, with ex as a happy medium whose derivative grows at the same rate as itself.

On the other hand, it is not hard to construct "bad" functions that simultaneously grow and wiggle, for which this pattern does not hold.

Has anyone looked into this before? I would be interested to know what class of functions behave like this (ie: the derivative is asymptotically smaller than the original function if the original function is asymptotically smaller than ex and the derivative is asymptotically larger if the function is asymptotically larger than ex).
 
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  • #2
Interesting.. it looks like the sort of question that might've been studied by victorian mathematicians.. like you say it's quite easy to construct even monotonically increasing functions for which the patturn is broken, so I don't think there'll be a general result.

If we call [tex]f(x)[/tex] superexponential if [tex]e^{ax}\in o(f(x))[/tex] for all [tex]a>0[/tex] then it is reasonably easy to show that derivatives of superexp. functions are superexp. and those of subexp. are subexp. etc.

The question of the derivatives having higher order seems much more subtle..
Let us suppose that [tex]f(x)[/tex] is positive on some interval [tex][\alpha,\infty)[/tex] and for each [tex]a>0[/tex], [tex]e^{ax}/f(x)\to 0[/tex] and the limit is eventually monotonic. So by e.g. the MVT the derivative is negative for all [tex]x>N_a[/tex] say.
That is
[tex]\frac{ae^{ax}f(x)-e^{ax}f'(x)}{f(x)^2}<0 ~\Rightarrow~\frac{f(x)}{f'(x)}<a^{-1}[/tex]
for all [tex]x>N_a[/tex]. For large [tex]a[/tex], [tex]a^{-1}[/tex] is small, hence [tex]f(x)/f'(x)\to 0[/tex].

One could replace this monotonicity condition with e.g. the condition that the derivative of [tex]q_a(x)=e^{ax}/f(x)[/tex] is bounded by a suitable function [tex]p_a(x)[/tex], for each [tex]a[/tex] which tends to 0 fast enough at infinity.

These two conditions seem a little intractible. I would think that the class of convex functions would be one for which this all holds true, and there is a wealth of literature on them.. still, it's an intriguing question.. might have more of a play with it at some point.
 
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FAQ: Asymptotic behavior and derivatives

What is the definition of "asymptotic behavior"?

Asymptotic behavior refers to the behavior of a function as its input approaches a certain value or infinity. It describes the long-term trend of the function, regardless of any small fluctuations in the short-term.

How is asymptotic behavior related to derivatives?

The derivative of a function describes its instantaneous rate of change at a specific point. Asymptotic behavior is often used to analyze the overall trend of a function, while derivatives provide information about the function at a specific point.

What are the different types of asymptotic behavior?

There are three main types of asymptotic behavior: horizontal asymptotes, vertical asymptotes, and oblique asymptotes. A horizontal asymptote occurs when the function approaches a constant value as its input approaches infinity. A vertical asymptote occurs when the function approaches infinity or negative infinity as its input approaches a certain value. An oblique asymptote occurs when the function approaches a linear function as its input approaches infinity.

How can asymptotic behavior be used in real-world applications?

Asymptotic behavior is commonly used in mathematical modeling to predict the long-term behavior of a system. For example, in finance, asymptotic behavior can be used to analyze the growth or decline of investments over time. In physics, it can be used to predict the behavior of a system as it approaches a critical point.

Can a function have multiple types of asymptotic behavior?

Yes, a function can have multiple types of asymptotic behavior depending on its input and the behavior of its derivative. For example, a function may have both a horizontal and vertical asymptote at different points, or it may have an oblique asymptote in addition to a horizontal or vertical asymptote.

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