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Introduction to Derivatives

The Speed at a Single Moment

Imagine you're driving a car. If you travel 120 miles in 2 hours, your average speed is easy to find: 60 miles per hour. But your speed wasn't constant. You stopped at lights and sped up on the highway. What was your exact speed at the very moment you passed the 90-mile marker? This is your instantaneous speed.

Calculus gives us a way to answer questions like this. In the language of math, we're looking for an instantaneous rate of change. For a straight line, the rate of change is just its slope, and it's the same everywhere. But for a curve, the steepness changes at every single point.

The derivative is a tool that tells us the slope, or instantaneous rate of change, of a function at any given point. It turns a curvy function into a new function that describes its slope everywhere.

A derivative describes how a function changes as its input changes, essentially measuring the rate at which one quantity changes concerning another.

From Approximation to Precision

So how do we find the exact slope at one point on a curve? We can't use the standard slope formula because we only have one point, not two.

Instead, we start with an approximation. We pick our point, let's call it (x,f(x))(x, f(x)), and then pick another point very close to it. Let's say the second point is a tiny horizontal distance, hh, away from the first. Its coordinates will be (x+h,f(x+h))(x+h, f(x+h)).

A line connecting two points on a curve is called a secant line. We can easily calculate its slope:

Secant Slope=riserun=f(x+h)f(x)(x+h)x=f(x+h)f(x)h\text{Secant Slope} = \frac{\text{rise}}{\text{run}} = \frac{f(x+h) - f(x)}{(x+h) - x} = \frac{f(x+h) - f(x)}{h}

This expression is called the difference quotient. It gives us a decent estimate for the slope at our original point. But we want the exact slope, not an estimate.

To get more precise, we need to shrink the distance between our two points. We slide the second point closer and closer to the first, making the distance hh smaller and smaller. As hh approaches zero, the slope of the secant line gets closer to the true slope of the tangent line at our point.

This idea of getting infinitely close to a value is the concept of a limit. The derivative is officially defined as the limit of the difference quotient as hh approaches zero.

f(x)=limh0f(x+h)f(x)hf'(x) = \lim_{h \to 0} \frac{f(x+h) - f(x)}{h}

The notation f(x)f'(x), read as "f prime of x," represents the derivative of the function f(x)f(x).

Calculating a Derivative

Let's use this definition to find the derivative of a simple function, f(x)=x2f(x) = x^2. We'll follow a four-step process.

Step 1: Find f(x+h)f(x+h) Substitute (x+h)(x+h) into the function wherever you see xx: f(x+h)=(x+h)2=x2+2xh+h2f(x+h) = (x+h)^2 = x^2 + 2xh + h^2

Step 2: Plug into the difference quotient Now we place f(x+h)f(x+h) and f(x)f(x) into the formula f(x+h)f(x)h\frac{f(x+h) - f(x)}{h}.

(x2+2xh+h2)(x2)h\frac{(x^2 + 2xh + h^2) - (x^2)}{h}

Step 3: Simplify the expression Our goal is to cancel the hh in the denominator. Let's simplify the numerator first.

x2+2xh+h2x2h=2xh+h2h\frac{x^2 + 2xh + h^2 - x^2}{h} = \frac{2xh + h^2}{h}

Now we can factor out an hh from the terms in the numerator and cancel it with the hh in the denominator.

h(2x+h)h=2x+h\frac{h(2x + h)}{h} = 2x + h

Step 4: Take the limit as h0h \to 0 Finally, we find the limit of our simplified expression as hh gets closer and closer to zero.

f(x)=limh0(2x+h)=2x+0=2xf'(x) = \lim_{h \to 0} (2x + h) = 2x + 0 = 2x

So, the derivative of f(x)=x2f(x) = x^2 is f(x)=2xf'(x) = 2x. This new function, 2x2x, tells us the slope of the parabola y=x2y=x^2 at any x-value. At x=1x=1, the slope is 2(1)=22(1)=2. At x=3x=-3, the slope is 2(3)=62(-3)=-6. We now have a precise way to measure instantaneous change.

Quiz Questions 1/5

What does the derivative of a function at a specific point represent?

Quiz Questions 2/5

Which expression is known as the difference quotient?