Calculus Mastery
The Human Knowledge Project
Chapter 6 — Basic Differentiation Rules
Power Rule, Constant Rule, Sum Rule, and Constant Multiple Rule
6.1 Learning Objectives
By the end of this chapter, students should be able to:
- Differentiate basic polynomial functions.
- Apply the Power Rule correctly.
- Differentiate constants.
- Differentiate sums and differences of functions.
Apply the Constant Multiple Rule.
Interpret derivatives geometrically and physically.
Understand why differentiation rules simplify calculus enormously.
Visualize derivatives as slope functions.
Explain patterns connecting powers and derivatives.
Build fluency with basic derivative computation.
6.2 Big Picture — Why Differentiation Rules Matter
In Chapter 5, students computed derivatives from the definition:
f
′
(x)=
h→0
lim
h
f(x+h)−f(x)
This method is foundational.
But it is also:
slow
algebraically heavy
impractical for large problems
Imagine computing derivatives of:
x
12
or:
7x
9
−4x
5
+12x
2
−3
using only the limit definition every time.
The algebra would become enormous.
Fortunately, mathematicians discovered patterns.
These patterns became:
differentiation rules
The rules allow derivatives to be computed rapidly while preserving the deeper meaning:
slopes
rates of change
local behavior
6.3 The Power Rule — One of the Most Important Rules in Calculus
Suppose:
f(x)= x
n
where:
n is a positive integer
Then:
dx
d
(x
n
)= nx
n−1
This is called:
the Power Rule
6.4 Understanding the Pattern
Students should not merely memorize this rule.
They should SEE the pattern.
Examples:
dx
d
(x)=1
dx
d
(x
2
)=2x
dx
d
(x
3
)=3x
2
dx
d
(x
4
)=4x
3
Notice the pattern:
exponent moves downward
exponent decreases by one
This pattern becomes one of the central computational tools in calculus.
6.5 Why the Power Rule Makes Sense Graphically
Consider:
f(x)= x
2
Earlier we discovered:
f
′
(x)=2x
Interpretation:
slope changes depending on x
At:
x = 1 → slope = 2
x = 5 → slope = 10
The graph becomes:
steeper
as x increases.
Now consider:
f(x)= x
3
Its derivative:
3x
2
shows slope increases even faster.
Students should visualize:
higher powers grow increasingly steep
derivatives measure how rapidly steepness changes
6.6 Worked Example — Applying the Power Rule
Find derivative of:
f(x)= x
5
Apply rule:
bring exponent downward
subtract 1 from exponent
Result:
f
′
(x)=5x
4
6.7 Another Example
Differentiate:
f(x)= x
7
Derivative:
f
′
(x)=7x
6
6.8 The Constant Rule
Suppose:
f(x)=5
This function never changes.
Its graph is horizontal.
Horizontal lines have slope:
0
Therefore:
dx
d
(c)=0
for any constant:
c
6.9 Why Constants Have Zero Derivative
Students should think physically.
If:
temperature never changes
position never changes
height never changes
then:
rate of change equals zero
No change means:
zero derivative
6.10 Worked Example — Constant Rule
Differentiate:
f(x)=12
Derivative:
f
′
(x)=0
6.11 The Constant Multiple Rule
Suppose:
f(x)=7x
3
The constant:
7
simply scales the function.
The derivative becomes:
f
′
(x)=7(3x
2
)
=21x
2
6.12 Why This Rule Makes Sense
Multiplying a function by:
7
makes:
all slopes 7 times steeper
The derivative scales naturally.
Students should visualize:
graph stretched vertically
tangent slopes stretched similarly
6.13 Worked Example — Constant Multiple Rule
Differentiate:
f(x)=4x
6
Derivative:
f
′
(x)=24x
5
6.14 The Sum Rule
Suppose:
f(x)= x
3
+x
2
The derivative becomes:
f
′
(x)=3x
2
+2x
The derivative distributes across addition.
6.15 Why the Sum Rule Makes Sense
Suppose:
one function contributes one type of change
another contributes another type
Total change equals:
sum of their individual changes
This is physically intuitive.
6.16 Worked Example — Sum Rule
Differentiate:
f(x)= x
4
+3x
2
+7
Differentiate term-by-term:
dx
d
(x
4
)=4x
3
dx
d
(3x
2
)=6x
dx
d
(7)=0
Combine:
f
′
(x)=4x
3
+6x
6.17 The Difference Rule
Subtraction behaves similarly.
Example:
f(x)= x
5
−x
2
Derivative:
f
′
(x)=5x
4
−2x
6.18 Polynomial Differentiation
Students now possess enough tools to differentiate many polynomials.
Example:
f(x)=3x
5
−2x
3
+7x
2
−9
Differentiate term-by-term:
f
′
(x)=15x
4
−6x
2
+14x
Constant disappears because:
dx
d
(−9)=0
6.19 Visualization — Derivative as a New Function
This is a major conceptual leap.
The derivative itself is another function.
Original function:
f(x)
Derivative:
f
′
(x)
At every x-value:
derivative gives tangent slope
Students should visualize:
one graph describing height
another graph describing steepness
6.20 Positive and Negative Derivatives
Suppose:
f
′
(x)>0
Then:
graph rising
Suppose:
f
′
(x)<0
Then:
graph falling
Suppose:
f
′
(x)=0
Then:
graph flat horizontally
This becomes extremely important later in:
optimization
curve sketching
maxima/minima
6.21 Physical Interpretation
Suppose:
s(t)= t
3
represents position.
Then:
s
′
(t)=3t
2
represents velocity.
At:
larger t-values
velocity increases rapidly
The object accelerates.
Derivatives allow us to describe motion precisely.
6.22 Why Differentiation Rules Matter Historically
Before calculus:
complicated changing systems were difficult to analyze
Differentiation rules transformed mathematics.
Scientists could suddenly analyze:
motion
astronomy
engineering
fluid flow
optimization
with unprecedented power.
These rules became one of the great revolutions in science.
6.23 Common Student Mistakes
Mistake 1 — Forgetting to Reduce Exponent
Incorrect:
dx
d
(x
4
)=4x
4
Correct:
4x
3
Mistake 2 — Differentiating Constants Incorrectly
Constants differentiate to:
0
Mistake 3 — Algebra Errors
Students often simplify incorrectly after differentiating.
Careful algebra still matters.
Mistake 4 — Memorizing Without Understanding
Students should remember:
derivatives describe rates
derivatives describe slopes
differentiation measures local change
The rules are shortcuts built from the limit definition.
6.24 Problem-Solving Strategy
When differentiating:
Step 1
Identify function type.
Step 2
Differentiate term-by-term.
Step 3
Apply:
Power Rule
Constant Rule
Sum/Difference Rules
Constant Multiple Rule
Step 4
Simplify carefully.
Step 5
Interpret result:
graphically
physically
6.25 Practice Problems
A. Basic Power Rule
dx
d
(x
2
)
dx
d
(x
5
)
dx
d
(x
8
)
dx
d
(x
12
)
Explain pattern in the Power Rule.
B. Constant Rule
dx
d
(7)
dx
d
(−3)
dx
d
(π)
Explain why constants have derivative zero.
Describe graph of constant function.
C. Constant Multiple Rule
dx
d
(5x
3
)
dx
d
(9x
4
)
dx
d
(−2x
7
)
Explain how vertical stretching affects slopes.
Explain physical meaning of scaling derivatives.
D. Sum and Difference Rules
dx
d
(x
4
+3x
2
)
dx
d
(x
5
−x
2
)
dx
d
(3x
4
+2x
2
−7)
dx
d
(7x
6
−4x
3
+2x−9)
Explain why derivatives distribute across addition.
E. Graphical Interpretation
Explain what positive derivative means graphically.
Explain what negative derivative means graphically.
Explain what zero derivative means graphically.
Describe how steepness changes for:
x
2
Describe how steepness changes for:
x
5
F. Physical Interpretation
Suppose:
s(t)= t
2
Find velocity function.
Suppose:
s(t)= t
4
Find velocity function.
Explain why velocity changes faster for higher powers.
Explain why derivatives are useful in motion.
Explain why derivatives measure responsiveness.
6.26 Selected Solutions
Problem 2
dx
d
(x
5
)
Apply Power Rule:
=5x
4
Problem 6
dx
d
(7)
Constants never change.
Derivative:
0
Problem 16
dx
d
(x
4
+3x
2
)
Differentiate term-by-term:
4x
3
+6x
Problem 19
dx
d
(7x
6
−4x
3
+2x−9)
Differentiate each term:
42x
5
−12x
2
+2
Problem 26
Suppose:
s(t)= t
2
Velocity:
s
′
(t)=2t
6.27 Chapter Summary
In this chapter we introduced:
Power Rule
Constant Rule
Constant Multiple Rule
Sum Rule
Difference Rule
Most importantly:
students learned that differentiation rules provide efficient ways to compute:
slopes
rates of change
local behavior
without repeatedly using the full limit definition.
These rules become the foundation for nearly all future differentiation techniques.