BackCalculus I: Derivatives, Tangents, and Rates of Change – Comprehensive Study Notes
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Derivatives and Rates of Change
Average and Instantaneous Rate of Change
The average rate of change of a function over an interval measures the change in the function's value divided by the change in the input. The instantaneous rate of change is the limit of the average rate of change as the interval shrinks to a single point, and is given by the derivative.
Average Rate of Change:
Instantaneous Rate of Change:
Example: For a rock launched vertically, the position function gives the height above ground. The instantaneous velocity at is , and the tangent line at has slope .
Definition of the Derivative
The derivative of a function at a point measures the instantaneous rate of change or the slope of the tangent line at that point. It is defined as:
Alternate form:
Example: For , compute and use it to find the tangent line at .
Continuity and Differentiability
Relationship Between Continuity and Differentiability
A function is differentiable at a point if it is continuous there, but continuity alone does not guarantee differentiability. A function may fail to be differentiable at a point if:
It is not continuous at that point.
It has a corner or cusp at that point.
It has a vertical tangent at that point.
Example: The graph is continuous but not differentiable at due to a corner.
Identifying Points of Discontinuity and Non-Differentiability
Find where the function is not continuous (e.g., jumps, holes).
Find where the function is not differentiable (e.g., corners, vertical tangents).
Example: For a given graph, identify intervals where is not continuous or not differentiable.
Derivative Rules and Notation
Notation for Derivatives
: Derivative of with respect to
: Derivative of with respect to
: Most common notation
: Derivative evaluated at
Power Rule and Constant Multiple Rule
Power Rule: for any real
Constant Multiple Rule:
Example:
Sum Rule
Product Rule
Example:
Quotient Rule
Example:
Derivatives of Trigonometric Functions
Example:
Higher Order Derivatives
The second derivative is
The nth derivative is
Example: Find the third derivative of
Special Derivative Techniques
Chain Rule
The chain rule is used to differentiate composite functions. If , then:
Example: , ,
General Power Rule
If is differentiable and is real,
Example:
Implicit Differentiation
Used when is defined implicitly by an equation involving both and .
Differentiate both sides with respect to , treating as a function of .
Example: yields
Solve for as needed.
Derivatives of Logarithmic and Exponential Functions
Exponential and Logarithmic Properties
for
for all
for
General Rule: If is differentiable at and ,
Applications of Derivatives
Velocity and Acceleration
Velocity:
Acceleration:
Example: For , find and , and analyze motion over .
Marginal Cost and Average Cost
Average Cost:
Marginal Cost: , the derivative of the cost function
Example: For , find average and marginal cost for and
Elasticity of Demand
Elasticity:
Elastic if , inelastic if
Example: For , compute elasticity and determine price ranges for elastic/inelastic demand.
Tables and Data Interpretation
Using Tables for Derivatives
Tables may provide values of functions and their derivatives at specific points. For example:
x | f(x) | g(x) | g'(x) |
|---|---|---|---|
1 | 5 | 2 | 3 |
2 | 7 | 1 | 4 |
Use such tables to compute derivatives of composite functions at given points.
Summary of Key Derivative Rules
Power Rule:
Constant Multiple Rule:
Sum Rule:
Product Rule:
Quotient Rule:
Chain Rule:
Trigonometric Derivatives: , , etc.
Exponential/Logarithmic Derivatives: ,
Additional info:
Some examples and exercises are referenced but not fully solved; students should practice by applying the rules above.
Graphs and diagrams in the original notes illustrate concepts such as continuity, differentiability, and tangent lines.