Under which circumstances would sigma summation be used instead of integration?

In summary, sigma summation is a discrete version of integration that can be more accurate than integration as a result of its infinitely continuous nature when evaluated for given values at discrete intervals.
  • #1
camjohn
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Just to be clear, I understand the difference between sigma summation and integration. Sigma summation is, put simply, the discrete version of integration. Rather than a continuous sum of a function for given values, sigma summation provides a sum of a function for given regions that is evaluated at discrete intervals. My question is: When would sigma summation ever be used as a more effective substitute for integration? Integration can only be more accurate than sigma summation as a result of its infinitely continuous nature...right? When -- in the world of physics -- is discrete summation a more accurate means of evaluating the sum for given values of a function?

Thanks
 
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  • #2
You are a bit mistaken.

The Integral Sign is a very special case of the sigma summation, an Infinite Riemann Sum to be specific. You can have all sorts of sums without the 'f(x) d(x)' part which is required of Integrals. Summations only mean you are taking the total of a bunch of different things, it has nothing to do with Integrals if you don't want it to.

For example: It wouldn't make much sense to take the integral of your balloon and my balloon to find out how many balloons we have, but it would make sense to take the sum.
 
  • #3
camjohn said:
Just to be clear, I understand the difference between sigma summation and integration. Sigma summation is, put simply, the discrete version of integration. Rather than a continuous sum of a function for given values, sigma summation provides a sum of a function for given regions that is evaluated at discrete intervals. My question is: When would sigma summation ever be used as a more effective substitute for integration? Integration can only be more accurate than sigma summation as a result of its infinitely continuous nature...right? When -- in the world of physics -- is discrete summation a more accurate means of evaluating the sum for given values of a function?

Thanks

If I understood you well, if your function was locally-constant, e.g., a collection of

rectangles put together, as a step function , then a sum would

make more sense. Or if your function was well-approximated by rectangles.

Think, too, on finding the area of an equilateral triangle. You can break down

this triangle into two triangles by bisecting using the height. Then you have two

triangles , whose areas are simple as 1/2bh . Using the equation of two lines

to desscribe the triangle and then using a Riemann sum would seem overkill.
 
  • #4
Bacle2, you are correct, but I think you may be misleading. It is important to differentiate between generic sums and specific Riemann sums, as they are very different.
 
  • #5
You may be right, Vorde, maybe the OP can expand on what they are asking to

help clarify? Maybe by sigma summation s/he is referring to a dimensionless sum,

or,at most a 1-dim sum ( making me hungry for Chinese!) where it would make

sense to add numbers?
 
  • #6
Thanks for the responses. I'm really just trying to figure out when evaluating a sum of a function, for any given region (to be clear, I'm simply using metaphorical math structure, not describing a physical region ;) ) can be more effectively done by making evaluations at discrete intervals (Left and right hands sums, put simply) rather than integration used in calculus.
 
  • #7
Right, as I thought.
The only problem with your logic is that I think you are under the impression that sums are just the discrete version of the integral.

When trying to figure out area under a graph (or any other interpretation of the same value), integrals of one form or another will always be more accurate than discrete riemann sums.

However, as I tried to explain before, sums are a much broader topic that just riemann sums. It might be worthwhile to google both 'summation' and 'riemann sums' to understand the difference.

I love analogies, so I'll try another one:
We all have been taught in grade school that multiplication is just repeated addition, and after one solves 5 x 4 by adding 5 four times, and solves 16 x 2 by adding sixteen twice, he might be tempted to ask why we bother defining a multiplication operator at all when in fact all we ever do is repeated addition.

The reason he asks this is because he has never been exposed to a problem like 16 x 1.56, where it is obvious that the unique methods of multiplication are needed rather than simple repeated addition. Likewise, I think your question stems from the fact that you have only been exposed to summation in the form of riemann sums leading up to integrals and therefore have no exposure to the broader use of sums.

It is a shame that the more rigorous foundation of riemann sums is not taught when developing basic calculus, but I totally understand why. I was lucky enough to learn calculus out of a very old textbook which looked at integration with just enough mathematics to make me appreciate Riemann Sums and not enough to dissuade me.
 
  • #8
Yeah that is true. I've only been exposed to sigma summation as a means of adding up values of a function for specified values. Can you direct me to a source of information that provides examples of sigma summation operations that can't be covered by integration?
 
  • #9

Related to Under which circumstances would sigma summation be used instead of integration?

1. What is the difference between sigma summation and integration?

Sigma summation and integration are both methods used to find the total value of a series of numbers. Sigma summation involves adding up individual terms of a series, while integration involves finding the area under a curve defined by a function.

2. When would it be more appropriate to use sigma summation instead of integration?

Sigma summation is commonly used when dealing with discrete data, such as a set of individual measurements or values. Integration is more suitable for continuous data, such as a smooth curve or function.

3. What are the advantages of using sigma summation over integration?

One advantage of using sigma summation is that it is simpler and easier to understand, making it a more accessible method for beginners. It is also more efficient to use when dealing with discrete data, as integration requires more complex calculations.

4. In what fields of science is sigma summation commonly used?

Sigma summation is commonly used in fields such as statistics, computer science, and engineering. It is also frequently used in physics and chemistry to calculate discrete values, such as the sum of forces or the sum of reaction rates.

5. Can sigma summation and integration be used interchangeably?

No, sigma summation and integration are not interchangeable. Each method has its own specific applications and should be used accordingly. However, in some cases, integration can be used to approximate sigma summation, but this is not always accurate.

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