Compare Riemann Integration & Definite Integration Accuracy

In summary, Shreyarora asked if there is a comparison between Riemann Integration and normal definite integration in terms of accuracy. Shreyarora found that there is a difference in how the two methods calculate the error, with Riemann Integration yielding more accurate results.
  • #1
shreyarora
2
0
Can some please draw a comparison between Riemann Integration and normal definite integration in terms of accuracy.
 
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  • #2
Hi shreyarora, and welcome to PF :smile:

Can you please expand your question a bit?
What do you mean with "normal definite integration", to my knowledge that simply is the Riemann integral?
And what do you mean with accuracy? Riemann integration is 100% accurate, it uses no approximations what-so-ever.

We'll be in a better position to answer you if you let is know where you're coming from...
 
  • #3
I suspect that by "Riemann integration" he is referring to actually using a finite number of rectangles to approximate the integral- that is, Riemann sums.

Shreyarora, the formula for the accuracy is given in any Calculus book. For example, on page 487 of Salas, Hille, and Etgen's Calculus, the error in using n rectangles to approximate
[tex]\int_a^b f(t)dt[/tex]
is given as less than
[tex](f(b)- f(a))\frac{b- a}{n}[/tex]

So, for example, if you use 10 rectangles to integrate
[tex]\int_0^1 x^2 dx[/tex]
Your error would be less than (1-0)((1- 0)/10) or 1/10.

Of course, the trapezoidal method and Simpson's rule give better accuracy.
 
  • #4
Thanks HallofIvy, I think you got most of what I meant say.

By normal integration I meant that, if you integrate x^2 from a to b, you substitute limits to x^3/3.
whereas, the computation differs while evaluating integral using Riemann Integration.

I am actually writing an article wherein I have to justify that using Riemann Integration yields accurate results to a real life problem over the "normal definite integration" that I have defined above.

Or is it actually possible to compare the two methods?
 
  • #5
Its probably better (and less confusing) to say "Riemann sum" instead of Riemann integration. 'Ordinary integration' is Riemann integration. That is,

[tex]
\int_1^2 x^2 dx=\frac{1}{3}x^3|_1^2=\frac{7}{3}
[/tex]

I just performed Riemann integration. But I could I have approximated the Riemann integral with a Riemann sum using say, the left endpoint:

[tex]
\sum_{k=0}^{N-1} (1+k\Delta x)^2 \Delta x
[/tex]

where [tex]\Delta x =(2-1)/N[/tex]
 

FAQ: Compare Riemann Integration & Definite Integration Accuracy

What is the difference between Riemann Integration and Definite Integration Accuracy?

Riemann Integration is a method for approximating the area under a curve by dividing the region into smaller rectangles and summing their areas. Definite Integration Accuracy, on the other hand, is a measure of how closely the actual area under a curve matches the estimated area using a particular integration method.

Which method is more accurate - Riemann Integration or Definite Integration Accuracy?

Both methods have their own advantages and disadvantages. Riemann Integration can provide a more precise estimation of the area under a curve when the curve is smooth and continuous. On the other hand, Definite Integration Accuracy takes into account the specific integration method used and can provide a more accurate result for certain types of functions. It ultimately depends on the nature of the function and the desired level of accuracy.

Can Riemann Integration and Definite Integration Accuracy be used interchangeably?

No, Riemann Integration and Definite Integration Accuracy are two distinct methods for calculating the area under a curve. While they may provide similar results in some cases, they cannot be used interchangeably as they have different underlying principles and assumptions.

How do errors affect the accuracy of Riemann Integration and Definite Integration Accuracy?

Errors can significantly impact the accuracy of both methods. In Riemann Integration, errors can occur due to the choice of partitioning and the number of rectangles used. In Definite Integration Accuracy, errors can arise from the specific integration method chosen and the precision of calculations. It is important to minimize errors to achieve a more accurate result.

Is there a preferred method for calculating integration accuracy?

It ultimately depends on the function being integrated and the desired level of accuracy. Some functions may be better suited for Riemann Integration while others may require the use of Definite Integration Accuracy. It is important to understand the strengths and limitations of each method and choose the appropriate one for the specific scenario.

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