Comprehensive Calculus Study Guide: Differentiation Rules, Chain Rule, Implicit Differentiation, and Related Rates
Fundamental Differentiation Rules
The Constant Rule
Theorem Statement: Let be any real constant. Then the derivative of with respect to is zero:
Geometric Interpretation: The graph of a constant function is a horizontal straight line. Because the slope of any horizontal line is identically everywhere, the instantaneous rate of change (derivative) is always .

Worked Examples:
For : .
For : .
For : .
For : .
For : .
For : Since every term is a constant real number, .
For : All constituent terms are constants, so .
The Power Rule
Theorem Statement: Let be any real number. Then the derivative of the power function with respect to is given by:
Worked Examples:
Differentiating a radical term : Rewrite as a rational exponent , yielding .
For : .
For : .
For : .
For : .
For : .
The Constant Multiple Rule
Theorem Statement: Let be a constant and be a differentiable function. Then:
Application:
For : .
The Sum and Difference Rule
Theorem Statement: Let and be differentiable functions. Then:
Worked Examples with Algebraic Manipulation:
For : .
For : Expand algebraically first to get , then differentiate to obtain .
For : .
For : Rewrite by splitting the fraction into , yielding .
For : Split into individual terms and simplify exponents:
For : .
Exponential Derivatives
Theorem Statement: Let be a positive real number (). Then:
Natural Exponential Base (): Because , the derivative simplifies to:
Worked Examples:
For : .
For : Simplify using exponent rules:
Physical Kinematic Application: Position, Velocity, and Acceleration
Definitions: Given position , instantaneous velocity is , and instantaneous acceleration is .
Full Derivation Example: Let position be .
Instantaneous Velocity:
Instantaneous Acceleration:
The Chain Rule
Theorem Formulation
Lagrange (Prime) Notation: If is differentiable at and is differentiable at , then the composite function , defined by , is differentiable at , and its derivative is:
Leibniz Notation: If and are both differentiable functions, then:
Intuition via Differentials: Treating Leibniz derivatives as formal ratios reveals the visual cancellation of intermediate differential terms:
Multi-Layer Chain Rule Extension: When composing three or more functions, such as , or across intermediate variables :
Algebraic and Transcendental Worked Examples
Polynomial Composite Power: For :
Outer function: with .
Outer derivative: .
Inner derivative: .
Final derivative: .
Trigonometric Power: For :
Inner function: ; outer function: .
Component derivatives: , .
Combined derivative: .
Trigonometric Argument Composite: For :
.
High-Order Polynomial Composite: For :
.
Three-Layer Composite with Exponential and Secant: For :
Layer 1 (outer): , derivative is .
Layer 2 (middle): , derivative is .
Layer 3 (inner): , derivative is .
Step-by-step differentiation:
Nested Radicals with Tangent: For .
First outer differentiation:
Inner expression differentiation:
Innermost differentiation: .
Fully assembled derivative:
Power of Tangent with Rational Exponential Argument: For .
Outer derivative: .
Middle derivative: .
Inner derivative via Quotient Rule on :
Combined derivative:
Graphical and Tabular Evaluation of Composite Derivatives
Piecewise Linear Graphical Example: Let , where is defined by the following graph:

Differentiating using the Chain Rule:
Evaluating at :
Determining : The value represents the slope of the tangent line to at . From the graph, is a straight line segment on the interval connecting , , and . The slope is:
Final calculation:
Tabular Values Example: Let and be differentiable functions with values provided in the reference table:

Values from the table:
At : , , , , .
At : , , , , .
At : , , , , .
Problem: Let . Find .
Differentiating via Chain Rule:
Evaluating at :
Multi-Function Graphical Analysis:

Evaluating derivatives at :
For : Apply the Quotient Rule in conjunction with the Chain Rule on the denominator: Evaluate at using function values and slopes from the graph at and .
For : Apply the Chain Rule across all terms: Evaluate at using coordinates and tangent slopes from the graph.
Recognizing Derivative Limits via the Chain Rule
Problem: Evaluate the limit:
Limit Definition Formulation: Recall the limit definition of the derivative at a point :
Structural Identification: Replacing the variable name with : This matches the definition of with function evaluated at .
Evaluation via Differentiation: Differentiating using the Chain Rule:
Final Value: Therefore, .
Implicit Differentiation
Implicit vs. Explicit Functions
Explicit Functions: A function is explicit when the dependent variable is isolated directly on one side in terms of the independent variable :
Examples: and .
Implicit Functions: An equation defines a function implicitly when the relationship between and is expressed as a combined relation where is not explicitly solved:
Examples: and .
Multi-Branch Explicit Representation: Solving an implicit equation explicitly may require multiple equations to satisfy the vertical line test.
Consider the unit circle :
The complete relation is not a single function because it fails the vertical line test:

It must be decomposed into two distinct explicit functions:


Drawback of Explicit Conversion: Solving for explicitly often produces cumbersome square roots requiring separate differentiations, which becomes intractable or impossible for higher-degree polynomials (such as ).
The Implicit Differential Operator Technique
Expanding the Differential Operator: The differential operator can be viewed as multiplying by one via the chain rule differential ratio:
Fundamental Rule for Differentiating Expressions Containing : When differentiating an expression involving with respect to , differentiate with respect to first, then multiply by (or ):
Basic Derivative Demonstrations:
Algorithmic Step-by-Step Procedure
Step 1: Apply the differentiation operator to both sides of the equation.
Step 2: Differentiate each term, applying the Product, Quotient, and Chain Rules as necessary, appending whenever differentiating a term involving .
Step 3: Collect all terms containing on one side of the equation and move all terms without to the opposite side.
Step 4: Factor out as a common factor.
Step 5: Divide by the remaining coefficient factor to solve explicitly for .
Comprehensive Implicit Differentiation Examples
Example 1: The Circle
Example 2: Folium of Descartes
Example 3: Mixed Trigonometric and Product Relation
Example 4: Second Derivative of
Find first:
Differentiate with respect to using the Quotient Rule:
Substitute into the second derivative expression:
Simplify using the original constraint :
Example 5: Second-Degree Polynomial Curve
Example 6: Quartic Implicit Curve
Example 7: Linear and Trigonometric Mix
Example 8: Coupled Exponential Terms
Introduction to Related Rates and Problem-Solving Strategy
Core Conceptual Foundation
Definition: In a related rates problem, physical or geometric quantities that change over time are connected through an governing equation. The instantaneous rate of change of one or more quantities is provided, and the objective is to determine the unknown instantaneous rate of change of another quantity at a specific instant.
Mathematical Representation: All rates of change are modeled as derivatives with respect to time (), treating every time-dependent variable as an implicit function of time: , , , , .
The Systematic 7-Step Strategy
Step 1: Draw and label a diagram. Identify the geometric setup, assign variables to all dynamic quantities that vary with time, and assign constants to dimensions that remain strictly fixed.
Step 2: Identify known rates and known values. Express all given quantitative information as numerical values or time derivatives (e.g., ).
Step 3: Identify the unknown rate. Explicitly state the derivative sought (e.g., ) and specify the precise instant of evaluation (e.g., when ).
Step 4: Write an equation relating the variables. Connect the parameters using geometric, trigonometric, or physical formulas (e.g., Pythagorean theorem, volume, area, similar triangles). Ensure the relation contains only relevant variables.
Step 5: Differentiate implicitly with respect to . Apply across the equation, using the Chain Rule to attach time derivative factors (such as , ) to each variable.
Step 6: Substitute known values. Substitute the instantaneous measurements and rates into the differentiated equation. Critical rule: Never substitute instantaneous values prior to differentiating, as doing so erroneously treats dynamic variables as constants.
Step 7: Solve and include units. Algebraically isolate the desired derivative rate and append proper dimensional units (e.g., , , ).
Fundamental Geometric Rate Applications
Expanding Square Problem:
Geometry: Area of a square of side length is .
Given: Side length expands at .
Instant: Find when area .
Intermediate Value: .
Implicit Differentiation with respect to :
Substitution and Solution:
Inflating Spherical Balloon Problem:
Geometry: Volume of a sphere of radius is .
Given: Air is pumped into the balloon at a constant rate of .
Instant: Find the rate of increase of the radius, , when radius .
Implicit Differentiation with respect to :
Substitution and Solution:
Deflating Spherical Balloon Problem:
Geometry: Surface area of a sphere is ; diameter is .
Given: Surface area decreases at a rate of .
Instant: Find the rate of decrease of the diameter, , when diameter ().
Differentiating Surface Area with respect to :
Solving for :
Differentiating Diameter relation :
Conclusion: The diameter decreases at a rate of .
Expanding Cube Problem:
Geometry: Volume of a cube of edge length is .
Given: Edge length expands at .
Instant: Find when .
Implicit Differentiation with respect to :
Substitution and Solution:
Abstract Multi-Variable Function Rate Problem:
Given Equation: .
Rates and State: , . Find .
Differentiating with respect to :
Substitution:
Advanced Related Rates Applications
Pythagorean Models: Radar Tracking of an Aircraft
Physical Setup: An airplane flies horizontally at a constant altitude of at a constant ground speed of . The plane passes directly over a ground radar tracking station.

Identification of Parameters:
Altitude: (constant, so \,mph).
Horizontal distance: , with horizontal velocity .
Direct distance to station: .
Instant: .
Geometric Evaluation of :
Implicit Differentiation with respect to :
Substitution and Solution:
Conclusion: The direct line-of-sight distance between the aircraft and the radar station is increasing at an instantaneous rate of .
Pythagorean Models: Sliding Ladder
Physical Setup: A ladder of fixed length leans against a vertical wall. The base of the ladder slides outward along the horizontal floor at a rate of .

Part 1: Downward Velocity of the Ladder Top
Identification of Parameters: Ladder length (constant, so ), horizontal distance , .
Evaluation of Vertical Height :
Implicit Differentiation with respect to :
Solving for :
Conclusion: The top of the ladder is sliding down the wall at a speed of (rate of change is ).
Part 2: Rate of Angular Change with Respect to the Floor
Identification of Parameters: Let be the interior angle formed between the ladder and the horizontal ground.

Trigonometric Relationship: .
Differentiating implicitly with respect to via the Quotient Rule:
Solving for using :
Using fixed ladder length , , , and given values:
Verification with alternate recorded numerator substitution : Yields .
Pythagorean Models: Vehicles Departing an Intersection
Physical Setup: Two vehicles diverge from an intersection simultaneously. Car A travels East at , and Car B travels North at .

Identification of Parameters:
Position East: , with rate .
Position North: , with rate .
Separation distance: .
Evaluation of Separation Distance :
Implicit Differentiation and Solution:
Conclusion: The distance between the two vehicles is increasing at a rate of .
Similar Triangle Models: Streetlight and Shadow
Physical Setup: A streetlamp is mounted atop a pole. A man of height walks directly away from the pole along a level path at a speed of .

Identification of Parameters:
Distance from pole to man: , with .
Length of the man's shadow: .
Total distance from pole to tip of shadow: .
Geometric Equation via Similar Triangles:
Rate of Change of Shadow Length ():
Rate of Motion of the Tip of the Shadow: The location of the shadow tip relative to the base of the lamppost is . Its rate of motion is given by:
Conclusion: The tip of the shadow is moving along the ground at an instantaneous rate of , independent of the man's distance from the pole.
Similar Triangle Models: Ground Spotlight and Wall Shadow
Physical Setup: A ground-level spotlight shines toward a vertical building wall located away. A man of height walks from the light directly toward the building at a speed of .

Identification of Parameters:
Distance from spotlight to man: , with .
Distance between spotlight and wall: Fixed at .
Height of shadow cast on the building: .
Instant: When the man is from the building, his distance from the spotlight is .
Geometric Relationship via Similar Triangles:
Implicit Differentiation with respect to :
Substitution and Solution at :
Conclusion: The height of the man's shadow on the wall is decreasing at an instantaneous rate of (or ).
Volume and Similar Triangle Models: Inverted Conical Reservoir
Physical Setup: An inverted circular conical water tank has a total height of and a top radius of . Water leaks out from the bottom apex at a constant rate of while water is simultaneously pumped in at an unknown constant rate .

Identification of Parameters:
Water level height: .
Rate of water level rise: .
Volume of a circular cone: .
Eliminating Radius via Similar Triangles:
Expressing Volume Solely as a Function of :
Implicit Differentiation with respect to :
Evaluating Net Rate of Volume Change at :
Relating Net Volume Change to Inflow and Outflow:
Conclusion: Water is being pumped into the inverted conical reservoir at an exact rate of .