Robustness of the Riemann integral

In summary, robustness refers to the ability of a mathematical concept, such as integrability, to withstand changes or perturbations without affecting its fundamental properties. In the case of integrability, robustness means that a function should remain integrable even if it undergoes significant changes, such as being "jiggled" or having its domain manipulated. This is important for theoretical purposes, as it allows for a wider range of functions to be studied and analyzed. However, the Riemann integral is not considered robust enough for some purposes, as there are functions that are not integrable in this sense but would have been desirable to be so.
  • #1
matrix_204
101
0
Could someone explain me what robustness is(in ur words), and how it works in proofs. All i kno is that basically u have two functions and u jiggle them a lot until u make them integrable if its not or destroy their integrability if they are integrable. Geometric explanation would really help here but the main question is what is its purpose, it doesn't really make any difference in the end, right.
 
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  • #2
I have absolutely no idea at what you are trying to get...
 
  • #3
When it is said that the Riemann integral is not "robust" enough for "theoretical" purposes, it roughly means there are lots of functions we would have liked to be "integrable" but which aren't in the Riemann sense of integrability.
EDIT:
The above is perhaps more appriopriately concerned with "limitedness" rather than "robustness".

The following example, however, is more to the issue of "robustness":
Consider the unit interval, and make a bijection between the rationals in the unit interval and N, i.e, [tex]x_{n}[/tex]

Now, consider the functions:
[tex]f_{n}(x_{m})=1, m<=n[/tex]
with [tex]f_{n}=0[/tex] otherwise.

The limiting function f of this sequence, is clearly 1 on the rationals, and 0 at the irrationals.

All [tex]f_{n}[/tex] are Riemann integrable, yet f is not!
We would have liked that the limiting function were integrable as well, but the Riemann integral isn't robust enough to allow the integrability of f.
 
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FAQ: Robustness of the Riemann integral

What is the definition of "robustness" in the context of the Riemann integral?

Robustness refers to the ability of the Riemann integral to produce consistent and reliable results despite small changes in the input function or integration limits. In other words, the integral should not be significantly affected by minor variations in the problem.

How does the Riemann integral ensure robustness?

The Riemann integral uses a partitioning technique to break down the integration interval into smaller subintervals, which allows for a more accurate approximation of the integral. This helps to minimize the impact of small changes in the input function or integration limits on the final result.

Are there any cases where the Riemann integral may not be robust?

Yes, there are certain cases where the Riemann integral may not be robust. This can occur when the input function has discontinuities or infinite values within the integration interval, or when the integration limits are very large or infinite. In these cases, alternative integration methods may be more suitable.

Can the robustness of the Riemann integral be improved?

Yes, there are methods for improving the robustness of the Riemann integral, such as using a finer partitioning of the integration interval or using more advanced techniques such as the Lebesgue integral. However, these methods may come at the cost of increased computational complexity.

How important is robustness in the context of the Riemann integral?

Robustness is a crucial aspect of the Riemann integral, as it ensures that the results obtained are reliable and consistent. Without robustness, small changes in the input function or integration limits could significantly impact the final result, leading to inaccurate calculations. Therefore, it is important to consider the robustness of the Riemann integral when choosing an integration method for a problem.

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