What is the definition of S in the proof for convergence of Riemann sum?

In summary, the conversation discusses the proof of convergence of a Riemann sum in a given interval [a,b]. The author uses the proof of S_m and S_n (where m>n) and shows that for a small enough span of subdivisions, the difference between S_m and S_n is less than e(b-a), where e can take infinitely small values. The conversation also raises questions about the convergence of S_m and S_n, asking for further clarification on the definition of S_n and the conditions for convergence. The importance of defining S_n and providing more information about the function f is emphasized.
  • #1
Werg22
1,431
1
In a book of mine, the author proceeds to the proof that a Riemann sum in a interval [a,b] must converge by proving that for S_m and S_n (m>n) where the span of the subdivisions is suffiencienly small, then

|S_m - S_n)| < e(b-a)

Where e can assume infinitly small values in dependence of the span.

Now I understand why S_m has to be bounded, however I do not see an argument strong enough for convergeance - couldn't S_m assume constantly changing lower or higher values within a certain interval? That certainly could satisfy the inequality above... What am I missing?
 
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  • #2
you need some hypothesis on the function f, like monotonicity or continuity, or boundedness and oiecewise continuity, or somehing, since bad behavior is surely possible.
 
  • #3
What are S_m and S_n? There is no such thing as the canonical subdivision S_n and S_m.
And what do you mean by 'in dependance'? If indeed you have shown that given e>0, there is an N such that for m>n>N then |S_m-S_n|<e(b-a) then you have indeed shown existence of the integral, since S_m is then a Cauchy sequence.
 
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  • #4
matt grime said:
What are S_m and S_n? There is no such thing as the canonical subdivision S_n and S_m.
And what do you mean by 'in dependance'? If indeed you have shown that given e>0, there is an N such that for m>n>N then |S_m-S_n|<e(b-a) then you have indeed shown existence of the integral, since S_m is then a Cauchy sequence.

m and n refer to the number of subdivisions. The value "e" is equivalent to MAX [|f(x+p) - f(x)|] where p is the length of the span of S. I know this is a Cauchy sequence since the inequality shows that S is bounded... my question lies in the uncertainty of the convergance of S, as it could not converge towards a specific value but still satisfy the condition.
 
  • #5
That does not specify S_n at all. There are uncountably many partitions into n subdivisions. A cauchy sequence converges in the reals, by the way, so there is no problem here at all, if indeed the sequence is cauchy.

And what is S? This is a new piece of terminology.
 
  • #6
What is S_n though? If you won't tell us how your book defined it, there's not much we can do (there's no universal way to define these things as matt has mentioned).

What is S? Is it your sequence of S_n? It seems like it might be, and that you think it is a Cauchy sequence. If so, there should be no problem, a Cauchy sequence converges to something.

You need to give more details on the definitions and other assumptions like conditions on f. Or provide the reference, someone might have it handy and be willing to help.

edit- beaten to the punch, but you should see a pattern emerging here. We'll keep asking for specifics until you supply them.
 

Related to What is the definition of S in the proof for convergence of Riemann sum?

1. What is the definition of Convergence of Riemann sum?

The Convergence of Riemann sum refers to the idea that as the number of rectangles in a Riemann sum approaches infinity, the sum of the areas of those rectangles will approach the definite integral of the function over the given interval.

2. How is the Convergence of Riemann sum related to the concept of limits?

The Convergence of Riemann sum is directly related to the concept of limits, as it involves taking the limit of the sum of the areas of increasingly smaller rectangles. This limit represents the exact value of the definite integral.

3. What is the significance of the Convergence of Riemann sum?

The Convergence of Riemann sum is significant because it allows us to approximate the definite integral of a function without having to evaluate it directly. This can be useful in situations where evaluating the definite integral may be difficult or impossible.

4. How does the Convergence of Riemann sum differ from other numerical integration methods?

The Convergence of Riemann sum differs from other numerical integration methods, such as the Trapezoidal Rule or Simpson's Rule, in that it uses rectangles to approximate the area under the curve rather than more complex shapes. This can make it easier to calculate and visualize.

5. Can the Convergence of Riemann sum be used to evaluate any definite integral?

Yes, the Convergence of Riemann sum can be used to evaluate any definite integral as long as the function is continuous on the given interval. However, it may not always be the most efficient or accurate method for certain types of functions.

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