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Calculus is a fundamentally different type of math than other math subjects; calculus is dynamic, whereas other types of math are static. Simply put, calculus is the math of motion, the study of how things change. Or, for a more formal definition:
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Jetzt kostenlos anmeldenCalculus is a fundamentally different type of math than other math subjects; calculus is dynamic, whereas other types of math are static. Simply put, calculus is the math of motion, the study of how things change. Or, for a more formal definition:
Calculus is the mathematical study of continuous change. It deals with rates of change and motion and has two branches:
Before the invention of calculus, all math was static and was only really useful in describing objects that weren't moving. That's not very useful, is it? The vast majority of objects are always moving! From the smallest objects – electrons in atoms – to the largest ones, such as planets in the universe, no object is ever always at rest (and in many cases are never at rest). This is where calculus shines. It works in many fields where you wouldn't normally think math would matter. Calculus is used in physics, engineering, statistics, and even in life sciences and economics!
Did you know that...
The Latin word, calculus, means "pebble". Back in Roman times, it was common to use pebbles for simple calculations (like adding and subtracting), so the word calculus developed an association with computation. In fact, the English words calculator and calculation are derived from Latin calculus.
So, where does calculus come from? How did early mathematicians come up with these complex ideas?
Calculus was actually invented by two people. Sir Isaac Newton and Gottfried Leibniz, independently of each other, came up with the idea of calculus. While Sir Isaac Newton invented it first, we mainly use Gottfried Leibniz's notation today.
To get an idea of how you could invent calculus, let's start with a seemingly simple problem: to find the area of a circle. Now, we know the formula for the area of a circle:
Graph of a circle
But why is this the case? What kind of thought process leads to this observation? Well, say we don't know this formula. How can we try to find the area of a circle without it? To start, let's try breaking the circle into shapes whose areas are more simple to calculate.
Finding the area of a circle using shapes we know
And after trying to get more and more shapes so that less and less of the circle is left over, let's try a different idea: break the circle up into concentric rings.
Graph of concentric circles
That's great, but now what? Now, let's take just one of these rings, which has a smaller radius, that we will call , that is between 0 and 5.
Graph of concentric circles with one ring highlighted
From here, let's straighten out this ring.
Straightened out ring from concentric circles
With the ring straightened out, now we have a shape whose area is easier to find. But, what shape has an even easier area to find? A rectangle. For simplicity, we can actually approximate the shape of the straightened-out ring as a rectangle.
Approximating the Straightened Out Ring as a Rectangle
This rectangle has a width that is equal to the circumference of the ring, or , and a height of whatever smaller radius of
that you chose earlier. Let's rename
to
, to represent a small difference in radius from one ring of the circle to the next one. So, what do we have now? We have a bunch of rings of the circle approximated as rectangles whose areas we know how to find! And, for smaller and smaller choices of (or breaking the circle into smaller and smaller rings), our approximation of the area of the ring becomes more and more accurate.
Calculus is all about approximation.
Let's go a step further and straighten out all the rings of the circle into rectangles and line them up side by side. Then, placing these rectangles on a graph of the line , we can see that each rectangle extends to the point where it just touches the line.
Rings of concentric circles placed on a graph of the line: y = 2πR
And for smaller and smaller choices of , we can see that the approximation of the total area of the circle becomes more accurate.
Rings of concentric circles placed on a graph of the line: y=2πR with a smaller choice for dr
Now you might notice that as gets smaller, the number of rectangles gets quite large, and won't it be time-consuming to add all their areas together? Take another look at the graph, and you will also notice that the total areas of the rectangles actually look like the area underneath the line, which is a triangle!
Total areas of concentric circles represented as the area under the graph
We know the formula for the area of a triangle:
Which in this case would be:
Which is the formula for the area of a circle!
But wait, how did we get here? Let's take a step back and think about it. We had a problem that could be solved by approximating it with the sum of many smaller numbers, each of which looked like for values of R from 0 to 5. And that small number
was our choice of thickness for each ring of the circle. There are two important things to take note of here:
Not only does play a role in the areas of the rectangles we are adding up, it also represents the spacing between the different values of R.
The smaller the choice for , the better the approximation. In other words, the smaller we make
, the more accurate the answer will be.
By choosing smaller and smaller values for dr to better approximate the original problem, the sum of the total area of the rectangles approaches the area under the graph; and because of that, you can conclude that the answer to the original problem, un-approximated, is equal to the area under this graph.
These are some pretty interesting ideas, right? So now you might be wondering, why go through this effort for something as simple as finding the area of a circle? Well, let's think for a moment... Since we were able to find the area of a circle by reframing the question as finding the area under a graph, could we not also apply that to other, more complex graphs? The answer is, yes, we can! Say, for example, we take the graph of , a parabola.
Graph of a parabola
How could we possibly find the area under a graph like this, say between the values of 0 and 5? This is a much more difficult problem, isn't it? And let's reframe this problem slightly: let's fix the left endpoint at 0 and let the right endpoint vary. Now the question is, can we find a function, let's call it , that gives us the area under the parabola between the left endpoint of 0 and the right endpoint of x?
Area under a parabola
This brings us to the first big topic of calculus: integrals. To use calculus vocabulary, the function we called is known as the integral of the function of the graph. In our case,
would be the integral of
. Or in a more mathematical notation:
As we progress through calculus, we will discover the tools that will help us find , but for now, what function represents is still a mystery. What we do know is that gives us the area under the parabola from a fixed left endpoint and a variable right endpoint. Now take a moment and think of what else we know about the relationship between
and the graph,
.
When we increase x by just a tiny bit, say by an amount we will call , we see a resulting change in the area under the graph, which we will call
. This tiny difference in area,
, can be approximated as a rectangle, just as we were able to approximate
as a rectangle in our circle example. The rectangle approximation for
, however, has a height of
and a width of
. And for smaller and smaller choices of
, the approximation of the area under the graph becomes more and more accurate, just as with the circle example.
A change in area under a parabola
This gives us a new way to think about how is related to
. Changing the output of
by
is about equal to
, where
is whatever you choose, times
. This relationship can be rearranged to:
And, of course, this relationship becomes more and more accurate as we choose smaller and smaller values for . While the function
is still a mystery to us, this relationship is key and, in fact, holds true for much more than just the graph of
.
Any function that is defined as the area under some graph has the property that dA divided by dx is approximately equal to the height of the graph at that point. This approximation becomes more accurate for smaller choices of dx.
This brings us to the next big topic of calculus: derivatives. The relationship between ,
, and the function of the graph,
, written as the ratio of
divided by
is equal to
, is called the derivative of A. In mathematical notation:
Now, you may have noticed that the general formulas we've written for the derivative and integral look like they relate to each other. That's because they do! Derivatives and integrals are actually inverses of each other. In other words, a derivative can be used to find an integral and vice versa. The back-and-forth between integrals and derivatives where the derivative of a function for the area under a graph gives the function defining the graph itself is called the Fundamental Theorem of Calculus.
Let's summarize a bit. Generally speaking, a derivative is a measure of how sensitive a function is to small changes in its input, while an integral is a measure of some area under a graph. The Fundamental Theorem of Calculus links the two together and shows how they are inverses of each other.
Now that we have a solid idea of what calculus is and where it comes from let's dig a little deeper. We can gather from our examples in the previous section that there are some main concepts of calculus:
Calculus is all about approximation or becoming more accurate as some value approaches another value
There are two types of calculus:
Calculus that deals with derivatives or differential calculus
Calculus that deals with integrals, or integral calculus
There is a fundamental theorem of calculus, and it links differential and integral calculus together
Before we delve into the types of calculus, let's take a look at what sets calculus apart from other types of math: the idea of a limit. Remember in the previous section when we talked about choosing smaller and smaller values for either or
? When we consider these smaller and smaller values, we are improving the accuracy of our approximations by having
or
approach zero. Why not just use zero directly? Remember, the formula for the derivative of A is the ratio of
divided by
, and dividing by zero is impossible! This is where the limit comes in. The limit essentially allows us to see what the answer to a problem (for example, the area under a graph) should be as we get closer and closer to whatever value the limit is. In the case of our examples in the "Where Does Calculus Come From?" section, the limit was zero.
A limit is the value that a function approaches as its independent variable (usually x) approaches a certain value.
Differential calculus is the branch of calculus that deals with the rate of change of one quantity with respect to another quantity. In this branch, we divide things into smaller and smaller sections and study how they change from moment to moment.
Derivatives are how we measure rates of change. Specifically, derivatives measure the instantaneous rate of change of a function at a point, and the instantaneous rate of change of the function at a point is equal to the slope of the tangent line at that point.
When we know the rate of change of a function, integral calculus can be used to find a quantity. In this branch, we sum small sections of things together to discover their overall behavior.
Integration is the method we use in calculus to find the area either underneath a graph, or in between graphs.
The fundamental theorem of calculus links differential and integral calculus by stating that differentiation and integration are inverses of each other and is divided into two parts:
Part 1 – shows the relationship between derivatives and integrals
Part 2 – uses the relationship established in part 1 to show how to calculate an integral on a specific range
The definitions for the fundamental theorem of calculus are as follows:
[1] Part 1 of the fundamental theorem of calculus states that:
If a function, that we will call , is continuous on an interval of
, and another function, that we will call
, is defined as:
Then, on the same interval of
.
[2] Part 2 of the fundamental theorem of calculus states that:
If a function, that we will call , is continuous on an interval of
, and another function, that we will call
, is any antiderivative of
, then:
Calculus has a wide variety, and a long history, of useful applications. In general, calculus is used in STEM (Science Technology Engineering Math) applications as well as in medicine, economics, and construction, just to name a few. A form of calculus was used back in ancient Egypt to build the pyramids! But the calculus we are learning today is the calculus that Sir Isaac Newton and Gottfried Leibniz developed in the seventeenth century.
AP Calculus is broken down into two courses, AP Calculus AB and AP Calculus BC. The difference between these two courses is that AP Calculus BC covers everything that AP Calculus AB covers, plus a couple of extra topics. Please have a look at our articles on each topic for a full study of AP Calculus!
The AP Calculus AB course covers many topics of calculus. A brief overview of them is listed below:
The AP Calculus BC course covers everything that AP Calculus AB does, plus these extra topics:
Calculus is the mathematical study of continuous change. It deals with rates of change and motion and has two branches:
Derivatives are how we measure rates of change. Specifically, derivatives measure the instantaneous rate of change of a function at a point, and the instantaneous rate of change of the function at a point is equal to the slope of the tangent line at that point.
A limit in calculus is the value that a function approaches as its independent variable (usually x) approaches a certain value.
Calculus has a wide variety, and a long history, of useful applications. In general, calculus is used in STEM (Science Technology Engineering Math) applications as well as in medicine, economics, and construction, just to name a few. A form of calculus was used back in Ancient Egypt to build the pyramids! But the calculus we are learning today is the calculus that Sir Isaac Newton and Gottfried Leibniz developed in the seventeenth century.
Integration is the method we use in calculus to find the area underneath a graph, or in between graphs.
What is the product rule, in words?
In words, the product rule says that the derivative of a product of two functions is the first function times the derivative of the second function plus the second function times the derivative of the first function.
What is a common mistake when using the product rule?
A common mistake when using the product rule is assuming the derivative of a product of two functions is the product of their derivatives.
This is incorrect!
How can The Product Rule be proved?
The product rule can be proved by using limits and some simple algebraic manipulation.
How can the product rule be proved?
The product rule can be proved using limits and algebraic manipulation.
What are some other use cases for the product rule?
What is AP Calculus?
Calculus is the mathematical study of continuous change. It deals with rates of change and motion, and has two branches:
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