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