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## AP®︎/College Calculus AB

### Unit 2: Lesson 1

Defining average and instantaneous rates of change at a point- Newton, Leibniz, and Usain Bolt
- Derivative as a concept
- Secant lines & average rate of change
- Secant lines & average rate of change
- Derivative notation review
- Derivative as slope of curve
- Derivative as slope of curve
- The derivative & tangent line equations
- The derivative & tangent line equations

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# Derivative as a concept

AP.CALC:

CHA‑2 (EU)

, CHA‑2.A (LO)

, CHA‑2.A.1 (EK)

, CHA‑2.B (LO)

, CHA‑2.B.1 (EK)

Introduction to the idea of a derivative as instantaneous rate of change or the slope of the tangent line.

## Want to join the conversation?

- why slope of a line is not x/y?(18 votes)
- No! Otherwise we would be rewriting mathematics in such a way that y is the independent variable and x is the dependent one....(5 votes)

- how could a point have a rate of change ? i mean it is a point a coordinate the change happen when we move from coordinate to other right ?(2 votes)
- Hi Khalid,

In this case we are referring to instantaneous rate of change at the instant we 'get' to that point... the best way to visualize a rate of change at a point is to draw in a tangent line to the curve at that point... the slope of that line is your rate of change of the function at that point.

:)(27 votes)

- what is the difference between
`delta`

x and dx?(4 votes)- Δx describes discrete change; i.e., you can say Δx = 1 or 0.1, and is probably used more in algebra.

dx represents an infinitesimal change, i.e., it doesn't have a value like dx = 0.0000001, but is simply infinitesimal (not a very rigorous explanation, I know). It's the calculus counterpart to Δx; because it's infinitesimal, a series of dx's put together can describe continuous change (as with derivatives and integrals).(14 votes)

- How can a single point on a plot dictate a slope of a tangential line? There could be multiple combinations of y-intercepts and slopes with a single point. Can someone explain this to me more?(7 votes)
- For any given point on a curve, there is only one line you can draw that will be tangent to that curve. As you go through and watch more videos, you'll find out how to take the derivative of an equation. When you plug x into that derivative equation, the result you'll get for y (or f(x)) will be your tangent line slope. Hope this helps!(7 votes)

- I understand the concept explained in this video. A question arise now. Consider a graph between distance (in y-axis) and time (in x-axis). Now, if we take a derivative, what we do is that the change in the x value (dx) when dt is realy close to zero (infinitely small). Usually, dx/dt is known as the velocity. Thats Okay. But, how the unit is m/s (meter-per-second) even though we use infinitesimally small time?(5 votes)
- This is informal but let's say the distance changes twice as fast as the time. The ratio is always 2:1, no matter how big or small. The small time is also cancelled out by the small distance.(5 votes)

- Consider the graph of y=|x|.

What would the derivative be at x=0? I'm wondering this because it intuitively feels like there should be infinite possible tangent lines to that point. Can a point have more than one derivative?(4 votes)- Nice question!

You are right that in a sense, this derivative is ambiguous. The derivative of |x| at x=0 does not exist because, in a sense, the graph of y=|x| has a sharp corner at x=0.

More precisely, the limit definition of this derivative is

lim h-->0 of (|0+h|-|0|)/h = lim h-->0 of |h|/h.

Since lim h-->0^+ of |h|/h = lim h-->0^+ of h/h = 1, but

lim h-->0^- of |h|/h = lim h-->0^- of -h/h = -1, we see that

lim h-->0 of |h|/h does not exist.

So this derivative does not exist! Note that this example shows that it's possible for a function to be continuous at a point without being differentiable there.(6 votes)

- Is the secant he is referring to the one defined as a line that intersects 2 points on a curve?(4 votes)
- Yes, a secant line is a line that intersects a curve at a minimum of two distinct points.(1 vote)

- When he says the change in x getting ever closer to 0, is he referring to the fact that as we approach our desired point, there is less and less change in the x value?(2 votes)
- Essentially, yes. The less change in the x-value, the more accurate the slope is at the desired point.(5 votes)

- Hey everyone...so I have a question that may be more 'semantics'. But when I am getting more into physics I see a lot of talk about "Deriving an equation"...or something like "Derive the kinematic equations" etc... Is this the same meaning as literally taking the derivative of the equation? Or does "deriving" in this sense mean something else?(3 votes)
- They are two different meanings.

Deriving an equation in physics means to find where an equation comes from. It is somewhat like writing a mathematical proof (though not as rigorous).

In calculus, "deriving," or taking the derivative, means to find the "slope" of a given function. I put slope in quotes because it usually to the slope of a line. Derivatives, on the other hand, are a measure of the rate of change, but they apply to almost any function. Think of them as an extension of the concept of slope.(3 votes)

- What does the dx in the fundamental theorem of calculus means?(3 votes)
- It refers to an extremely small delta x, or change in x, used when calculating the derivative of a slope.(3 votes)

## Video transcript

- [Instructor] You are likely
already familiar with the idea of a slope of a line. If you're not, I encourage you
to review it on Khan Academy, but all it is, it's
describing the rate of change of a vertical variable with respect to a horizontal variable, so for example, here I
have our classic y axis in the vertical direction and x axis in the horizontal direction, and if I wanted to figure
out the slope of this line, I could pick two points, say that point and that point. I could say, "Okay, from
this point to this point, what is my change in x?" Well, my change in x would be
this distance right over here, change in x, the Greek letter delta,
this triangle here. It's just shorthand for
"change," so change in x, and I could also
calculate the change in y, so this point going up to
that point, our change in y, would be this, right over
here, our change in y, and then, we would define
slope, or we have defined slope as change in y over change in x, so slope is equal to the rate of change of our vertical variable over the rate of change of
our horizontal variable, sometimes described as rise over run, and for any line, it's
associated with a slope because it has a constant rate of change. If you took any two points on this line, no matter how far apart or
no matter how close together, anywhere they sit on the line, if you were to do this calculation, you would get the same slope. That's what makes it a line, but what's fascinating about calculus is we're
going to build the tools so that we can think about
the rate of change not just of a line, which we've
called "slope" in the past, we can think about the rate of change, the instantaneous rate
of change of a curve, of something whose rate of change is possibly constantly changing. So for example, here's a curve
where the rate of change of y with respect to x is constantly changing, even if we wanted to use
our traditional tools. If we said, "Okay, we can
calculate the average rate of change," let's say between
this point and this point. Well, what would it be? Well, the average rate of
change between this point and this point would be the slope of the line that connects them, so it would be the slope of
this line of the secant line, but if we picked two different points, we pick this point and this point, the average rate of change between those points all of a
sudden looks quite different. It looks like it has a higher slope. So even when we take the
slopes between two points on the line, the secant lines, you can see that those
slopes are changing, but what if we wanted to ask ourselves an even more interesting question. What is the instantaneous
rate of change at a point? So for example, how fast is y changing with respect to x exactly at that point, exactly when x is equal to that value. Let's call it x one. Well, one way you could think about it is what if we could draw a
tangent line to this point, a line that just touches
the graph right over there, and we can calculate
the slope of that line? Well, that should be the
rate of change at that point, the instantaneous rate of change. So in this case, the tangent line might
look something like that. If we know the slope of this, well then we could say that that's the instantaneous
rate of change at that point. Why do I say instantaneous rate of change? Well, think about the
video on these sprinters, Usain Bolt example. If we wanted to figure out
the speed of Usain Bolt at a given instant, well maybe
this describes his position with respect to time if y
was position and x is time. Usually, you would see t as
time, but let's say x is time, so then, if were talking
about right at this time, we're talking about
the instantaneous rate, and this idea is the central
idea of differential calculus, and it's known as a derivative, the slope of the tangent line,
which you could also view as the instantaneous rate of change. I'm putting an exclamation mark because it's so
conceptually important here. So how can we denote a derivative? One way is known as Leibniz's notation, and Leibniz is one of
the fathers of calculus along with Isaac Newton, and his notation, you
would denote the slope of the tangent line as equaling dy over dx. Now why do I like this notation? Because it really comes
from this idea of a slope, which is change in y over change in x. As you'll see in future videos, one way to think about the slope of the tangent line is, well, let's calculate the slope of secant lines. Let's say between that
point and that point, but then let's get even closer, say that point and that point, and then let's get even closer and that point and that point, and then let's get even closer, and let's see what happens as the change in x approaches zero, and so using these d's instead of deltas, this was Leibniz's way of saying, "Hey, what happens if my changes in, say, x become close to zero?" So this idea, this is known as sometimes
differential notation, Leibniz's notation, is
instead of just change in y over change in x,
super small changes in y for a super small change in x, especially as the change
in x approaches zero, and as you will see, that is how we will
calculate the derivative. Now, there's other notations. If this curve is described
as y is equal to f of x. The slope of the tangent line at that point could be denoted as equaling f prime of x one. So this notation takes a little
bit of time getting used to, the Lagrange notation. It's saying f prime is
representing the derivative. It's telling us the
slope of the tangent line for a given point, so if you input an x into
this function into f, you're getting the corresponding y value. If you input an x into f prime, you're getting the slope of
the tangent line at that point. Now, another notation that
you'll see less likely in a calculus class but you
might see in a physics class is the notation y with a dot over it, so you could write this
is y with a dot over it, which also denotes the derivative. You might also see y prime. This would be more common in a math class. Now as we march forward
in our calculus adventure, we will build the tools to
actually calculate these things, and if you're already
familiar with limits, they will be very useful,
as you could imagine, 'cause we're really going
to be taking the limit of our change in y over
change in x as our change in x approaches zero, and we're not just going
to be able to figure it out for a point. We're going to be able to
figure out general equations that described the derivative
for any given point, so be very, very excited.