Connection between summation and integration

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There is a connection between summation and integration, as both are forms of measure-theoretic integration, with summation corresponding to the counting measure and integration to the Lebesgue measure. A commonly referenced approximation relates the definite integral of a function to a sum over discrete points, expressed as ∫_n^m f(t) dt ≈ Σ_k=n^m f(k) - (f(m) + f(n))/2. While some seek a simpler formula, the complexity increases for more accurate approximations. The discussion emphasizes the balance between simplicity and accuracy in mathematical expressions. Understanding these relationships can enhance comprehension of calculus concepts.
Jhenrique
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If exist a connection between the infinitesimal derivative and the discrete derivative $$d = \log(\Delta + 1)$$ $$\Delta = \exp(d) - 1$$ exist too a coneection between summation ##\Sigma## and integration ##\int## ?
 
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Yep, both are special cases of measure-theoretic integration. Summation is with respect to the counting measure, regular integration is with respect to the Lebesgue measure.
 
Stephen Tashi said:
Knowing jhenrique's tastes, we should also mention: http://en.wikipedia.org/wiki/Euler–Maclaurin_formula

Extremely complicated! I already know this article, but yet so I oponed this thread with the hope that could exist a simple formula and somebody that knew it could post it here...
 
Jhenrique said:
Extremely complicated! I already know this article, but yet so I oponed this thread with the hope that could exist a simple formula and somebody that knew it could post it here...

It's not complicated, it's just

\int_n^m f(t) dt \sim \sum_{k=n}^m f(k) - \frac{f(m) + f(n)}{2}

If you want a better approximation, then it becomes more complicated.
 
There's an old saying (due to Einstein, I believe), "Make things as simple as possible, but no simpler."
 
"The simplicity is the most high degree of perfection."
 

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