Lesson 6-1: Derivatives – Concept & Geometric Meaning
What You Will Learn
- Limit definition of the derivative and difference quotient.
- Geometric meaning: slope of the tangent line.
- Core differentiation rules (power, product, quotient, chain).
- Interpretation as instantaneous rate of change.
Prerequisites
- Functions, graphs, and slope of a secant line.
- Basic limit intuition (approaching a value).
- Algebraic manipulation and radicals.
Definition via Limits
The derivative of at is defined as the limit of the average rate of change over shrinking intervals:
If this limit exists, the tangent line at has slope .
Example: f(x)=x^2 at a=2
Thus and the tangent line slope is 4.
Mega Practice Appendix
Appendix Set A: Definition Mastery
- Evaluate a limit-difference quotient for a quadratic at a point
- Explain when the limit fails to exist (corner/cusp/vertical tangent)
- Relate average vs instantaneous rate with a small time window
- Units sanity-check for derivative in a word context
Appendix Set B: Linearization
- Compute L(x)=f(a)+f'(a)(x-a) for a smooth function
- Use L(x) to approximate a root nearby and estimate error sign
- Discuss radius of good approximation
- Contrast linear vs secant approximation
Appendix Set C: Graph Features
- From a graph, estimate f'(a) using symmetric difference
- Identify where derivative is zero or undefined
- Match slope fields to candidate functions
- Explain concavity via the behavior of f'
Appendix Set D: Notation & Rigor
- Translate Leibniz, Lagrange, and Newton notations
- State domain restrictions before differentiating
- Use abla notation contextually (concept only)
- Differentiate between value, rule, and operator
Appendix Set E: Numerical Derivative
- Compute forward/backward/central differences
- Compare truncation vs rounding errors
- Choose step h to balance accuracy and noise
- Explain why central difference is often superior
Comprehensive Review Packs
Review Pack 1: Rules Mix
- Differentiate polynomial × exponential
- Use logarithmic differentiation for a power
- Chain rule on nested trig-composite
- Interpret slope in an application
Review Pack 2: Domains
- Mark where derivative undefined (division/log/roots)
- Left/right derivatives at a kink
- One-sided limits and piecewise rules
- Units on final numeric answers
Review Pack 3: Error Estimation
- Use linearization to estimate f(a+Δx)
- Bound the error using |f''| on an interval
- Report percentage error with units
- State conditions for validity
Challenge Sets
Challenge 1: Ternary Chain
- Differentiate e^{sin(x^2)}
- Evaluate at a special angle
- Discuss small-angle approximation
- Explain growth vs oscillation tradeoff
Challenge 2: Quotient Trap
- Differentiate (xsin x)/(1+cos x)
- Rationalize using trig identities
- State excluded x-values
- Describe sign of derivative near 0
Challenge 3: Implicit Curve
- Given x^2+y^2=1+xy, find dy/dx
- Find slope at intersection with x-axis
- Explain symmetry arguments
- Classify tangent behavior near (1,0)
Extended Applications
Application 1: Population Growth
- P(t) = 1000e^(0.03t) models city population. Find dP/dt rate.
- Use chain rule: dP/dt = 1000 × 0.03 × e^(0.03t).
- Units: people per year. Positive means growing population.
- Linearization valid only for small time intervals around given point.
Application 2: Drug Concentration
- C(t) = 5te^(-0.2t) mg/L in bloodstream. Find dC/dt elimination rate.
- Use product rule: dC/dt = 5e^(-0.2t) + 5t(-0.2)e^(-0.2t).
- Units: mg/L per hour. Sign indicates increasing/decreasing concentration.
- Linear approximation breaks down as exponential decay dominates.
Application 3: Temperature Change
- T(t) = 20 + 15sin(πt/12) models daily temperature in °C.
- Chain rule: dT/dt = 15 × (π/12) × cos(πt/12).
- Units: °C per hour. Rate of temperature change throughout day.
- Linearization only accurate within 1-2 hours of reference time.
Application 4: Velocity Analysis
- s(t) = t³ - 6t² + 9t position function in meters.
- Velocity: v(t) = ds/dt = 3t² - 12t + 9 using power rule.
- Units: m/s. Sign indicates direction of motion.
- Linear approximation of position fails over long time intervals.
Application 5: Economic Marginal Cost
- C(x) = 0.01x³ - 0.5x² + 50x + 2000 total cost in dollars.
- Marginal cost: MC(x) = 0.03x² - x + 50 using polynomial rules.
- Units: dollars per unit. Cost to produce one additional item.
- Linear approximation valid only for small production changes.
Application 6: Related Rates
- Ladder sliding: x² + y² = 25², dx/dt = 3 ft/s given.
- Find dy/dt using implicit differentiation of constraint.
- Units: ft/s. Negative indicates downward motion.
- Model valid only while ladder maintains contact with wall.
Application 7: Fluid Dynamics
- V(t) = πr²h where r(t) changes. Find dV/dt flow rate.
- Product rule and chain rule: dV/dt = π[2r(dr/dt)h + r²(dh/dt)].
- Units: cubic units per time. Volume change rate.
- Linear approximation assumes constant rates over small intervals.
Application 8: Optimization Prep
- Surface area S(r) = 2πr² + 2πrh with constraint V = πr²h.
- Substitute h = V/(πr²): S(r) = 2πr² + 2V/r.
- Find dS/dr = 4πr - 2V/r² for critical points.
- Tangent line approximation fails far from optimal point.
Application 9: Compound Growth
- A(t) = 5000e^(rt) investment model. Find dA/dt growth rate.
- Chain rule: dA/dt = 5000r × e^(rt) where r is interest rate.
- Units: dollars per time. Instantaneous growth rate.
- Linear approximation underestimates exponential growth over time.
Application 10: Decay Processes
- N(t) = N₀e^(-λt) radioactive decay. Find dN/dt decay rate.
- Exponential rule: dN/dt = -λN₀e^(-λt) = -λN(t).
- Units: particles per time. Negative indicates loss.
- Linear approximation only valid for short time spans.
Mastery Drills
Drill Set 1
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 2
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 3
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 4
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 5
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 6
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 7
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 8
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 9
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 10
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 11
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 12
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 13
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 14
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 15
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 16
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 17
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 18
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 19
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 20
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 21
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 22
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 23
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Drill Set 24
- Differentiate a piecewise-defined function at the junction (check limit of difference quotient).
- Compute the derivative of and simplify factors.
- Use the derivative to estimate from with a small .
- Explain the meaning of negative derivative at a point in the given context.
Geometric Meaning
Tangent as Limit of Secants
The secant slope between and is the average rate of change. As , secant lines approach the tangent line with slope .
Tangent Line Equation
This linear approximation describes local behavior. For small , we have.
Core Differentiation Rules
Power Rule
Valid for real n where expression is defined.
Constant Multiple
c is a constant.
Sum Rule
Linear operator.
Product Rule
Differentiate one factor at a time.
Quotient Rule
g(x) ≠ 0.
Chain Rule
Differentiate outer at inner, times inner derivative.
Elementary Derivatives
Trigonometric
Exponential & Logarithmic
Worked Examples
Polynomial
Differentiate .
Chain Rule
Differentiate .
Product/Quotient
Differentiate and .
Tangent Line
Find tangent to at .
Application: Instantaneous Rate
If displacement is , then velocity and acceleration . At , and.
Guided Practice
Set A: Power & Product
- Differentiate 3x^5-2x^3+x
- Differentiate x^2 e^{2x}
- Find tangent at x=1
- State units if x is seconds and y meters
Set B: Chain & Quotient
- Differentiate y=sqrt{1+2x^3}
- Differentiate (ln x)/(x^2)
- Compute derivative sign on (0,1)
- Sketch local behavior
Set C: Trig Mix
- Differentiate sin x - frac12sin 2x
- Solve f'(x)=0 in [0,2pi]
- Classify extrema via second derivative
- Interpret on unit circle
Mixed Review
Drill 1: Limit vs Rule
- Compute derivative at a via limit
- Confirm using rule-based differentiation
- Use derivative to approximate near a
- Explain units
Drill 2: Piecewise
- Check differentiability at the junction
- Left/right derivatives match?
- Linearize each side
- Contextual meaning
Continue to optimization in Lesson 6-2 and advanced rates in Lesson 6-3.
Extra Bank A: Trig Composite
- Differentiate e^{cos x}sin(2x)
- Linearize at x=0
- Estimate error order
- Units check
Extra Bank B: Log-Exp Mix
- Differentiate xln(x^2+1)
- Compare numeric and symbolic values
- Explain sensitivity to x
- Summarize behavior