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Comprehensive Study Notes: The Derivative and Its Applications

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Tailored notes based on your materials, expanded with key definitions, examples, and context.

Section 3.1: Introducing the Derivative

Secant and Tangent Lines

The derivative is fundamentally connected to the concept of the slope of a line. The slope of a secant line between two points on a function gives the average rate of change, while the slope of the tangent line at a point gives the instantaneous rate of change.

  • Secant Line Slope: The slope between points (a, f(a)) and (x, f(x)) is .

  • Tangent Line Slope: The instantaneous rate of change at a is or equivalently .

Secant and tangent lines with difference quotientSecant and tangent lines with h notation

Definition of the Derivative at a Point

The derivative of f at a point a, denoted f'(a), is defined as:

  • or

If this limit exists, f is differentiable at a.

Definition of the derivative at a point

Section 3.2: The Derivative as a Function

Notation and Interpretation

The derivative is itself a function, often denoted as f'(x) or , and represents the instantaneous rate of change of f with respect to x at any point.

  • Physical Interpretation: In applications, the derivative can represent velocity, acceleration, marginal cost, and other rates of change.

Continuity and Differentiability

If a function is differentiable at a point, it must also be continuous there. However, continuity does not guarantee differentiability.

  • Not differentiable at a point if:

    • The function is not continuous at that point.

    • The function has a corner or cusp at that point.

    • The function has a vertical tangent at that point.

Continuity and differentiability

Section 3.3: Rules of Differentiation

Basic Differentiation Rules

  • Constant Rule:

  • Power Rule: (for any real number n)

  • Constant Multiple Rule:

  • Sum/Difference Rule:

Power Rule (general form)

Product and Quotient Rules

  • Product Rule:

  • Quotient Rule:

Product RuleQuotient Rule

Section 3.4: Applications of the Derivative

Velocity, Speed, and Acceleration

For a position function :

  • Velocity:

  • Speed:

  • Acceleration:

Velocity, speed, and acceleration

Average and Marginal Cost

For a cost function :

  • Average cost:

  • Marginal cost: , the approximate cost to produce one additional item after producing items.

Average and marginal costMarginal cost as a limit

Section 3.5: Higher Order Derivatives

Definition and Notation

  • First derivative:

  • Second derivative: or

  • n-th derivative:

Higher order derivatives are found by repeatedly differentiating the function.

Section 3.6: Derivatives as Rates of Change

Average and Instantaneous Velocity

The average velocity over an interval is:

The instantaneous velocity at is:

Average and instantaneous velocity

Applications in Economics

  • Elasticity: Measures the responsiveness of demand to changes in price, defined as .

Section 3.7: The Chain Rule

Chain Rule for Composite Functions

If , then the derivative is:

This rule extends to compositions of more than two functions by repeated application.

Section 3.8: Implicit Differentiation

Implicit Functions

When is defined implicitly by an equation involving both and , differentiate both sides with respect to , treating as a function of (using the chain rule as needed).

  • Example: For , differentiating both sides gives .

  • Solve for : .

Implicit differentiation exampleSolving for dy/dx

Section 3.9: Derivatives of Logarithmic and Exponential Functions

Exponential and Logarithmic Derivatives

  • for

  • for

  • If is a differentiable function,

Inverse properties for e^x and ln xDerivative of ln x

Section 3.10: Derivatives of Inverse Trigonometric Functions

Formulas for Inverse Trig Derivatives

  • for

  • for

  • for all

  • for

Derivatives of inverse trigonometric functions

Section 3.11: Related Rates

Concept of Related Rates

When two or more quantities are related and change with respect to time, their rates of change are also related. Use implicit differentiation with respect to time to relate these rates.

  • Sign convention: The rate is positive if the quantity is increasing, negative if decreasing.

Right triangle for related rates

Tables and Data Interpretation

Using Tables to Compute Derivatives

Given values of functions and their derivatives in a table, use the chain rule and other differentiation rules to compute derivatives of composite functions.

x

1

2

3

4

f(x)

2

4

1

3

f'(x)

-9

-4

-8

-1

g(x)

4

2

3

1

g'(x)

1/9

5/9

8/9

7/9

Sample Problems and Applications

  • Projectile motion: Find velocity, acceleration, and maximum height using derivatives.

  • Population growth: Use derivatives to find growth rates and interpret graphs.

  • Demand and elasticity: Use derivatives to analyze economic models and elasticity of demand.

  • Revenue maximization: Use derivatives to find marginal revenue and optimize pricing.

Summary Table: Key Differentiation Rules

Rule

Formula

Constant Rule

Power Rule

Product Rule

Quotient Rule

Chain Rule

Exponential

Logarithmic

Trig (sin, cos)

,

Inverse Trig

Additional info: These notes synthesize the main concepts, rules, and applications of derivatives as presented in the provided materials, with relevant images and tables included to reinforce understanding.

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