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Calculus Study Notes: Differentiation, Tangent Lines, and Implicit Differentiation

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

Differentiation of Functions

Basic Differentiation Rules

Differentiation is a fundamental concept in calculus, used to find the rate at which a function changes. The derivative of a function describes its instantaneous rate of change with respect to its variable.

  • Power Rule: For , the derivative is .

  • Exponential Functions: For , the derivative is .

  • Logarithmic Functions: For , the derivative is .

  • Product Rule: For , .

  • Quotient Rule: For , .

Example: For , use the product rule:

Derivative of Composite Functions

When differentiating composite functions, the chain rule is used. If , then .

  • Example:

Finding Tangent Lines

Equation of the Tangent Line

The tangent line to a curve at a point is given by:

  • Example: For at :

  • Find and :

  • At ,

  • Equation:

Additional info: The tangent line formula is derived from the point-slope form using the value and derivative at the point of tangency.

Implicit Differentiation

Definition and Application

Implicit differentiation is used when a function is not given explicitly as , but rather as a relationship between and .

  • Example: For , differentiate both sides with respect to :

  • Simplify:

  • Solving for :

Additional info: Implicit differentiation is essential for finding derivatives of curves defined by equations involving both and .

Special Derivatives and Applications

Logarithmic and Exponential Functions

  • Example:

  • Example:

Functions with Variable Exponents

  • Example: Use logarithmic differentiation:

Summary Table: Differentiation Rules

Function

Derivative

Rule Used

Power Rule

Exponential Rule

Logarithmic Rule

Product Rule

Quotient Rule

Chain Rule

Implicit:

via implicit differentiation

Implicit Rule

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