Skip to main content
Back

Calculus Study Guide: Mean Value Theorem, Monotonicity, Curve Sketching, L'Hôpital's Rule, and Antiderivatives

Study Guide - Smart Notes

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

Section 4.2: The Mean Value Theorem

Monotonicity and Its Implications

The concept of monotonicity describes whether a function is consistently increasing or decreasing over an interval.

  • Strictly Increasing Function: For all in the interval, .

  • Strictly Decreasing Function: For all , .

  • The sign of the derivative indicates monotonicity:

    • If on an interval, is increasing there.

    • If , is decreasing.

Rolle’s Theorem and the Mean Value Theorem (MVT)

  • Rolle’s Theorem: If is continuous on , differentiable on , and , then there exists such that .

  • Mean Value Theorem: If is continuous on and differentiable on , then there exists such that $

  • To apply these theorems, check the function’s continuity and differentiability on the required intervals.

  • Counterexamples: If a function is not continuous or not differentiable, the theorems do not apply. For example, on is not differentiable at .

  • Finding the Point : Set equal to the average rate of change and solve for .

  • Implications: If for all in an interval, then is constant on that interval. If two functions have the same derivative, they differ by a constant.

Example: For on , . The average rate of change is . Set .

Section 4.3: Monotonic Functions and the First Derivative Test

Local Extrema and Critical Points

Local extrema are points where a function reaches a local maximum or minimum.

  • Critical Points: Points where or does not exist.

  • To find local extrema:

    • Find all critical points and endpoints of the interval.

    • Evaluate at these points to determine maxima and minima.

The First Derivative Test

  • If changes from positive to negative at a critical point, has a local maximum there.

  • If changes from negative to positive, has a local minimum.

  • If does not change sign, the point is not a local extremum.

Example: For , . Setting gives . Analyze sign changes to classify extrema.

Section 4.4: Concavity and Curve Sketching

Concavity and the Second Derivative

Concavity describes the direction a curve bends.

  • If , the graph is concave up (shaped like a cup).

  • If , the graph is concave down (shaped like a cap).

Second Derivative Test for Local Extrema

  • If and , has a local minimum at .

  • If and , has a local maximum at .

  • If , the test is inconclusive.

Points of Inflection

  • A point of inflection is where the concavity changes.

  • To find inflection points:

    • Find where or does not exist.

    • Check that changes sign at these points.

Curve Sketching

  • Determine the sign of , , and to analyze the function’s behavior.

  • Identify intervals of increase/decrease and concavity.

  • Locate asymptotes:

    • Vertical asymptotes: Where approaches infinity as approaches a value.

    • Horizontal asymptotes: The value approaches as or .

Example: For , . and changes sign at , so is an inflection point.

Section 4.5: Intermediate Forms and L’Hôpital’s Rule

Indeterminate Forms

Some limits cannot be directly evaluated and are called indeterminate forms. Common types include:

L’Hôpital’s Rule

  • If yields or , then $ provided the limit on the right exists.

  • For forms, rewrite as a quotient (e.g., ).

  • For , , or , take logarithms and rewrite the limit in terms of exponentials and apply L’Hôpital’s Rule to the exponent.

Example: (both numerator and denominator approach 0, so apply L’Hôpital’s Rule).

Section 4.8: Antiderivatives

Finding Antiderivatives

An antiderivative of is a function such that .

  • The indefinite integral of is the set of all antiderivatives: C$ is an arbitrary constant.

  • All antiderivatives of a function differ by a constant.

  • To find the indefinite integral, use known integration formulas and rules (e.g., power rule, substitution).

Example:

Pearson Logo

Study Prep