Understanding the Derivative from First Principles (AP Calculus AB Unit 2)

0.0(0)
Studied by 0 people
0%Unit 2 Mastery
0%Exam Mastery
Build your Mastery score
multiple choiceAP Practice
Supplemental Materials
call kaiCall Kai
Card Sorting

1/24

Last updated 3:04 PM on 3/12/26
Name
Mastery
Learn
Test
Matching
Spaced
Call with Kai

No analytics yet

Send a link to your students to track their progress

25 Terms

1
New cards

Rate of change

A measure of how one quantity changes in response to another (often how f(x) changes as x changes).

2
New cards

Average rate of change

Change in output over change in input on an interval; (f(b)−f(a))/(b−a).

3
New cards

Secant line

The line through two points on a curve, (a,f(a)) and (b,f(b)); its slope equals the average rate of change on [a,b].

4
New cards

Secant slope

The slope of the secant line between x=ax=a and x=bx=b; (f(b)f(a))(ba)\frac{(f(b)−f(a))}{(b−a)}.

5
New cards

Instantaneous rate of change

How fast f(x) is changing at a specific x-value; the derivative at that point (slope of the tangent line).

6
New cards

Tangent line

The line that touches a curve at a point and matches its local direction there; its slope is the derivative at that point.

7
New cards

Difference quotient

An expression of the form (f(a+h)−f(a))/h (or equivalent) used to compute average rates of change and define derivatives.

8
New cards

Limit (in the context of derivatives)

A process describing what a quantity approaches as an input approaches a value (e.g., as h0h→0), used to define instantaneous rate of change without substituting h=0h=0.

9
New cards

Derivative at a point

f(a)=lim(h0)[f(a+h)f(a)]hf' (a) = \frac{lim(h→0) \big[f(a+h)−f(a)\big]}{h}, if this limit exists; the tangent slope at x=ax=a.

10
New cards

Derivative (informal meaning)

The formal name for instantaneous rate of change; also interpreted as the slope of the tangent line.

11
New cards

Derivative function

A function giving the derivative at each x where it exists: f(x)=lim(h0)[f(x+h)f(x)]hf' (x) = \frac{lim(h→0)\big[f(x+h)−f(x)\big]}{h}.

12
New cards

Equivalent limit definition of the derivative

f(a)=lim(xa)[f(x)f(a)](xa)f' (a)=\frac{lim(x→a)\big[f(x)−f(a)\big]}{(x−a)}, equivalent to the h0h→0 form via x=a+hx=a+h.

13
New cards

Leibniz notation

The notation dy/dx for the derivative, read “dee y dee x,” meaning the instantaneous rate of change of y with respect to x.

14
New cards

Operator notation for derivatives

Notation such as d/dx (f(x)) indicating “take the derivative with respect to x.”

15
New cards

Average velocity

When f is position and x is time, (f(b)−f(a))/(b−a), measured in distance per time (e.g., m/s).

16
New cards

Instantaneous velocity

When s(t)s(t) is position, s(t)s' (t) gives velocity at an exact time tt (units: distance/time).

17
New cards

Right-hand (forward) difference quotient estimate

An estimate of f(a)f' (a) using values to the right: (f(a+h)f(a))h\frac{(f(a+h)−f(a))}{h} for small h>0h>0.

18
New cards

Left-hand (backward) difference quotient estimate

An estimate of f′(a) using values to the left: [f(a)−f(a−h)]/h for small h>0.

19
New cards

Symmetric difference quotient

An often more accurate estimate of f′(a): [f(a+h)−f(a−h)]/(2h), using points equally spaced around a.

20
New cards

Differentiable at x=a

A function is differentiable at a if f(a)f' (a) exists as a finite real number (the derivative limit exists).

21
New cards

Local linearity

The idea that if a function is differentiable at a point, then zooming in near that point makes the graph look more like a straight line.

22
New cards

Continuous at x=a

f is continuous at a if f(a) is defined, lim(x→a) f(x) exists, and lim(x→a) f(x)=f(a).

23
New cards

Differentiability implies continuity

Key fact: if f is differentiable at x=a, then f must be continuous at x=a (but not necessarily the other way around).

24
New cards

One-sided derivatives

Derivatives computed from the left and right: lim(h0)[f(a+h)f(a)]h\frac{lim(h→0−)\big[f(a+h)−f(a)\big]}{h} and lim(h0+)[f(a+h)f(a)]h\frac{lim(h→0+)\big[f(a+h)−f(a)\big]}{h}; both must agree for f(a)f' (a) to exist.

25
New cards

Non-differentiable behaviors

Common reasons f′(a) fails to exist: corner (unequal finite one-sided slopes), cusp (slopes to opposite infinities), vertical tangent (unbounded slope), or discontinuity.