Difference between revisions of "Integration"

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Mathematicians have been playing with the concept of integration for ages, but it was until Newton's time that it was realized that integration and differentiation are inverse operations.
According to the [[Fundamental Theorem of Calculus]], '''Integration''' is the inverse operation of [[Differentiation]]. It defines a way to add-up the amount of changes in a consistent way from a [[differentiated function]].


In geometry we learned about the concept of area, which is the amount of two-dimensional surface covered by a figure, we also learned how to calculate the area of all kinds of different polygons, using specific formulas.  
Mathematicians have been playing with the concept of integration for ages, but it was not until Newton's time that it was realized that integration and differentiation are inverse operations.


But the ancient mathematicians realized things get much trickier when curvature is involved.  
In geometry, we learned about the concept of area, which is the amount of two-dimensional surface covered by a figure. We also learned how to calculate the area of all kinds of different polygons, using specific formulas.
 
However, ancient mathematicians realized things get much trickier when curvature is involved.  
 
Say we have a function and it is a curve, and we want to know the area under this curve over this interval let's say from a to b
 
(explain what is interval)


Say we have a function and it is a curve here, and we want to know the area under this curve over this interval let's say from a to b


That means we are looking at this region S, which is enclosed by the curve, the x-axis vertical lines.
That means we are looking at this region S, which is enclosed by the curve, the x-axis vertical lines.
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x equals b
x equals b


Then we will realize that there is no formula for this, this is not a rectangle, trapezoid, or any other polygon, as polygons have only straight-line segments for sides.
Then we will realize that there is no formula for this, as this is not a rectangle, trapezoid, or any other polygon. Polygons only have straight-line segments for sides.
 
But remember when we learned about differentiation, we actually learned how to do this.


But the answer has already been told when first learned about differentiation.
We just learned about how we get slope and tangent lines through a method of exhaustion.
Through that method, we couldn't get the slope of a line with one point. We can make a second point so that we could get the slope, and then pushed the second point towards the first, and then we can get the slope.


We had just learned about how do we get slope and tangent lines through a method of exhaustion.
Limits do the same thing.
Through that method when we couldn't get the slope of a line with one point, we can make a second point so that we could get the slope, and then pushed the second point towards the first, and then we can get the slope.


same as what limits do.
In fact, here we can't get the area of this shape so let's approximate it with a shape we can get the area of, a rectangle.


In fact, In here We can't get the area of this shape so let's approximate it with a shape we can get the area of, a rectangle.
If we divided it into some rectangles and we might see that it's not enough approximation but let's put more of them and make them narrower. By making the rectangles narrower, we are more closely approximating this area. In the limit of an infinite number of infinitely thin rectangles, we will get the precise area under the curve.


If we divided it into some rectangles and we might see that it's not enough approximation but let's put more of them and make them narrower. so we can just divide it into more rectangles it will be more and more narrow, we are more closely approximating this area. In the limit of an infinite number of infinitely thin rectangles, we will get the precise area under the curve.
[[Category:Calculus]]

Latest revision as of 07:51, 31 January 2022

According to the Fundamental Theorem of Calculus, Integration is the inverse operation of Differentiation. It defines a way to add-up the amount of changes in a consistent way from a differentiated function.

Mathematicians have been playing with the concept of integration for ages, but it was not until Newton's time that it was realized that integration and differentiation are inverse operations.

In geometry, we learned about the concept of area, which is the amount of two-dimensional surface covered by a figure. We also learned how to calculate the area of all kinds of different polygons, using specific formulas.

However, ancient mathematicians realized things get much trickier when curvature is involved.

Say we have a function and it is a curve, and we want to know the area under this curve over this interval let's say from a to b

(explain what is interval)


That means we are looking at this region S, which is enclosed by the curve, the x-axis vertical lines.

x equals a

x equals b

Then we will realize that there is no formula for this, as this is not a rectangle, trapezoid, or any other polygon. Polygons only have straight-line segments for sides.

But remember when we learned about differentiation, we actually learned how to do this.

We just learned about how we get slope and tangent lines through a method of exhaustion. Through that method, we couldn't get the slope of a line with one point. We can make a second point so that we could get the slope, and then pushed the second point towards the first, and then we can get the slope.

Limits do the same thing.

In fact, here we can't get the area of this shape so let's approximate it with a shape we can get the area of, a rectangle.

If we divided it into some rectangles and we might see that it's not enough approximation but let's put more of them and make them narrower. By making the rectangles narrower, we are more closely approximating this area. In the limit of an infinite number of infinitely thin rectangles, we will get the precise area under the curve.