Unit 5: Analytical Applications of Differentiation

Syllabus
2020
Section
—
Level
—

5.1 Using the Mean Value Theorem

Syllabus
2020
Topic
5.1
Level
—

Match a Tangent Slope to the Interval’s Average Slope

The Mean Value Theorem connects the average rate across an interval to an instantaneous rate inside it. If ff is continuous on [a,b][a,b] and differentiable on (a,b)(a,b), then at least one cc in (a,b)(a,b) has tangent slope equal to the secant slope from aa to bb.

f'(c)=\frac{f(b)-f(a)}{b-a}\qquad\text{for some }c\in(a,b)

  1. Verify continuity on the closed interval [a,b][a,b].\n2. Verify differentiability on the open interval (a,b)(a,b).\n3. Compute the average rate (f(b)−f(a))/(b−a)(f(b)-f(a))/(b-a).\n4. State that MVT guarantees at least one suitable cc; if requested, solve f′(c)f'(c) equal to that average and keep only solutions in (a,b)(a,b).

For f(x)=x2f(x)=x^2 on [1,3][1,3], the polynomial is continuous on [1,3][1,3] and differentiable on (1,3)(1,3). The average rate is f(3)−f(1)3−1=9−12=4.\frac{f(3)-f(1)}{3-1}=\frac{9-1}{2}=4. Since f′(x)=2xf'(x)=2x, solve 2c=42c=4 to get c=2c=2, which lies in (1,3)(1,3).

MVT guarantees at least one point, not exactly one. If continuity or differentiability fails, the theorem gives no guarantee; that does not by itself prove that no matching point exists.

5.2 Extreme Value Theorem, Global Versus Local Extrema, and Critical Points

Syllabus
2020
Topic
5.2
Level
—

Guarantee Extrema, Then Check the Candidates

The Extreme Value Theorem (EVT) is an existence guarantee. If ff is continuous on the closed interval [a,b][a,b], then ff attains at least one absolute (global) minimum value and at least one absolute maximum value somewhere on [a,b][a,b]. The theorem guarantees that these values exist; it does not locate them.

Idea Meaning Key point
Global extremum Greatest or least value on the entire stated interval May occur at an endpoint or an interior point
Local extremum Greatest or least value compared with nearby values Must occur at a critical point
Critical point A point on the function where f′(x)=0f'(x)=0 or f′(x)f'(x) does not exist It is only a candidate; it need not be an extremum

To find global extrema on [a,b][a,b]: first verify continuity on the whole closed interval. Next find every interior point where f′(x)=0f'(x)=0 or f′(x)f'(x) does not exist. Evaluate ff at those critical points and at both endpoints. The largest output is the global maximum value, and the smallest is the global minimum value.

For f(x)=x2−2xf(x)=x^2-2x on [0,3][0,3], continuity guarantees both global extrema. Since f′(x)=2x−2f'(x)=2x-2, the only interior critical point is x=1x=1. Compare f(0)=0f(0)=0, f(1)=−1f(1)=-1, and f(3)=3f(3)=3. Thus the global minimum is −1-1 at x=1x=1, while the global maximum is 33 at the endpoint x=3x=3.

Do not reverse the critical-point statement. Every local extremum is a critical point, but a critical point may be neither a maximum nor a minimum: for f(x)=x3f(x)=x^3, f′(0)=0f'(0)=0, yet the function keeps increasing through x=0x=0.

5.3 Determining Intervals on Which a Function Is Increasing or Decreasing

Syllabus
2020
Topic
5.3
Level
—

Read Increasing and Decreasing Behavior from $f'$

The sign of f′(x)f'(x) tells the direction of change of ff. On an interval where f′(x)>0f'(x)>0, the function ff is increasing; where f′(x)<0f'(x)<0, ff is decreasing. This conclusion concerns the original function, not the graph of its derivative.

  1. Find values where f′(x)=0f'(x)=0, where f′(x)f'(x) does not exist, and where ff is outside its domain.
  2. Use those values to divide the domain into open intervals.
  3. Determine the sign of f′f' on each interval, using a test value or algebra.
  4. Report the intervals with positive derivative as increasing and those with negative derivative as decreasing.

For f(x)=x3−3xf(x)=x^3-3x, f′(x)=3x2−3=3(x−1)(x+1).f'(x)=3x^2-3=3(x-1)(x+1). The derivative is zero at x=−1x=-1 and x=1x=1, so these values split the real line into three intervals.

Interval Sign of f′(x)f'(x) Behavior of ff
(−∞,−1)(-\infty,-1) ++ increasing
(−1,1)(-1,1) −- decreasing
(1,∞)(1,\infty) ++ increasing

Write increasing and decreasing sets as open intervals separated by critical values or domain breaks. A single point where f′(x)=0f'(x)=0 does not itself form an interval, and the sign must be established on each side rather than inferred from the zero alone.

5.4 Using the First Derivative Test to Determine Relative (Local) Extrema

Syllabus
2020
Topic
5.4
Level
—

Classify Local Extrema from a Sign Change in $f'$

The First Derivative Test classifies a critical point by tracking how ff moves on either side. Because f′(x)>0f'(x)>0 means ff is increasing and f′(x)<0f'(x)<0 means ff is decreasing, a local extremum occurs only when the sign of f′f' changes.

Sign of f′f' through x=cx=c Behavior of ff Conclusion at cc
+→−+\to- increasing, then decreasing local maximum
−→+-\to+ decreasing, then increasing local minimum
+→++\to+ or −→−-\to- same direction on both sides neither

Find the critical points in the domain, use them to split the domain into intervals, and determine the sign of f′f' on each interval. Then state the sign change and the corresponding conclusion; the sign chart is the justification.

For f(x)=x3−3xf(x)=x^3-3x, f′(x)=3(x−1)(x+1),f'(x)=3(x-1)(x+1), so the critical points are x=−1x=-1 and x=1x=1. The derivative signs are positive on (−∞,−1)(-\infty,-1), negative on (−1,1)(-1,1), and positive on (1,∞)(1,\infty). Therefore f′f' changes +→−+\to- at x=−1x=-1, giving a local maximum, and −→+-\to+ at x=1x=1, giving a local minimum.

A critical point is only a candidate. The equation f′(c)=0f'(c)=0 alone does not prove a local extremum; the First Derivative Test requires signs on both sides of cc.

5.5 Using the Candidates Test to Determine Absolute (Global) Extrema

Syllabus
2020
Topic
5.5
Level
—

Compare Every Candidate for Global Extrema

For a function on a closed interval [a,b][a,b], an absolute extremum can occur only at an interior critical point or at an endpoint. If the function is continuous on [a,b][a,b], the Extreme Value Theorem also guarantees that an absolute minimum and maximum exist. The Candidates Test locates them by comparing all possible outputs.

  1. Find every cc in (a,b)(a,b) where f′(c)=0f'(c)=0 or f′(c)f'(c) does not exist, provided f(c)f(c) exists.
  2. Add the endpoints aa and bb to the candidate list.
  3. Evaluate the original function ff at every candidate.
  4. The greatest output is the absolute maximum value; the least is the absolute minimum value. State each value and the input where it occurs.

For f(x)=x2+2x−3f(x)=x^2+2x-3 on [−3,2][-3,2], f′(x)=2x+2=0f'(x)=2x+2=0 gives the interior critical point x=−1x=-1. The candidates are therefore −3-3, −1-1, and 22.

Candidate xx f(x)f(x) Conclusion
−3-3 00 neither global extreme
−1-1 −4-4 absolute minimum
22 55 absolute maximum

Compare values of ff, not values of f′f'. Endpoints must be checked even though the usual interior derivative test does not classify them as local critical points. If the largest or smallest output occurs at several candidates, report every location.

5.6 Determining Concavity of Functions over Their Domains

Syllabus
2020
Topic
5.6
Level
—

Read Concavity from Changing Slopes

Concavity describes how the slopes of ff change. If f′f' is increasing, successive tangent slopes become larger and ff is concave up. If f′f' is decreasing, the slopes become smaller and ff is concave down. Because f′′f'' measures the rate of change of f′f', its sign gives the same information directly.

Behavior of f′f' Sign of f′′f'' Concavity of ff
increasing f′′(x)>0f''(x)>0 concave up
decreasing f′′(x)<0f''(x)<0 concave down

Find domain values where f′′(x)=0f''(x)=0 or f′′(x)f''(x) does not exist. Use them, together with any domain breaks, to divide the domain into open intervals. Determine the sign of f′′f'' on each interval. A point on the graph is an inflection point only when the concavity changes across it.

For f(x)=x3−3x2f(x)=x^3-3x^2, f′′(x)=6x−6=6(x−1).f''(x)=6x-6=6(x-1). This is negative for x<1x<1 and positive for x>1x>1, so ff is concave down on (−∞,1)(-\infty,1) and concave up on (1,∞)(1,\infty). The concavity changes at x=1x=1, and f(1)=−2f(1)=-2, so (1,−2)(1,-2) is an inflection point.

The equation f′′(c)=0f''(c)=0 or an undefined second derivative identifies only a candidate. Without a change from concave up to concave down or vice versa, there is no inflection point.

5.7 Using the Second Derivative Test to Determine Extrema

Syllabus
2020
Topic
5.7
Level
—

Classify a Critical Point with $f''$

The Second Derivative Test uses concavity to classify a stationary critical point. First verify that f′(c)=0f'(c)=0 and that f′′(c)f''(c) exists. Then the sign of f′′(c)f''(c) tells whether the graph bends upward or downward at x=cx=c.

Value of f′′(c)f''(c) Concavity near cc Conclusion
f′′(c)>0f''(c)>0 concave up local minimum at x=cx=c
f′′(c)<0f''(c)<0 concave down local maximum at x=cx=c
f′′(c)=0f''(c)=0 not determined test is inconclusive

Solve f′(x)=0f'(x)=0 for the stationary critical points, calculate f′′(c)f''(c) at each one, and state the sign-based conclusion. If f′′(c)=0f''(c)=0 or does not exist, use another method such as the First Derivative Test; do not force a classification.

For f(x)=x2+4x+1f(x)=x^2+4x+1, f′(x)=2x+4f'(x)=2x+4, so the only critical point is c=−2c=-2. Since f′′(x)=2>0f''(x)=2>0, ff has a local minimum at x=−2x=-2. The polynomial is continuous on (−∞,∞)(-\infty,\infty) and has only this one critical point, so the local minimum is also the absolute minimum; its value is f(−2)=−3f(-2)=-3.

The global conclusion needs all of its own conditions: continuity on the interval, exactly one critical point there, and proof that this point is a local extremum. Also, f′′(c)=0f''(c)=0 does not mean “no extremum”; it means this test gives no answer.

5.8 Sketching Graphs of Functions and Their Derivatives

Syllabus
2020
Topic
5.8
Level
—

Translate $f'$ and $f''$ into the Shape of $f$

Whether derivative information is given as a graph, table, or formula, read the same mathematical features: sign, zeros, sign changes, and increasing or decreasing behavior. Translate each feature into a statement about ff before attempting a sketch.

Derivative information Behavior of ff
f′>0f'>0 / f′<0f'<0 increasing / decreasing
f′f' changes +→−+\to- / −→+-\to+ local maximum / local minimum
f′f' increasing, equivalently f′′>0f''>0 concave up
f′f' decreasing, equivalently f′′<0f''<0 concave down
f′′f'' changes sign at a point on ff inflection point

Mark domain breaks and important xx-values first. Next record intervals of increase/decrease and classify any sign-changing zeros of f′f'. Then add concavity and verified inflection points from f′′f'' or from the trend of f′f'. Finally connect the features without contradicting any interval statement.

Suppose f′f' is positive on (−∞,−2)(-\infty,-2), negative on (−2,1)(-2,1), and positive on (1,∞)(1,\infty). Then ff has a local maximum at x=−2x=-2 and a local minimum at x=1x=1. If f′′<0f''<0 for x<0x<0 and f′′>0f''>0 for x>0x>0, the sketch is concave down before 00, concave up after 00, and has an inflection point at x=0x=0 if that point lies on the graph.

Derivative information determines shape, not absolute vertical position: functions that differ by a constant have the same derivatives. A value such as f(a)f(a) is needed to anchor the sketch vertically. Also, a zero of f′f' or f′′f'' matters only when the required sign change occurs.

5.9 Connecting a Function, Its First Derivative, and Its Second Derivative

Syllabus
2020
Topic
5.9
Level
—

Match $f$, $f'$, and $f''$ by Aligned Features

At the same input xx, the height f′(x)f'(x) is the slope of the graph of ff, and the height f′′(x)f''(x) is the slope of the graph of f′f'. To match related graphs, compare features at aligned xx-values; the graphs do not need to look alike.

Feature on one graph Aligned feature on the next graph
ff increasing / decreasing f′f' above / below the xx-axis
horizontal tangent on ff zero of f′f'
ff concave up / down f′f' increasing / decreasing
horizontal tangent on f′f' zero of f′′f''
f′f' increasing / decreasing f′′f'' above / below the xx-axis

Start with unmistakable events such as zeros and horizontal tangents. Check the sign of the proposed derivative against increasing or decreasing intervals. Then check whether its own rise and fall agrees with the sign of the proposed second derivative. Require several consistent relationships before assigning labels.

For f(x)=x3−3xf(x)=x^3-3x, f′(x)=3x2−3,f′′(x)=6x.f'(x)=3x^2-3,\qquad f''(x)=6x. The cubic has horizontal tangents at x=−1x=-1 and x=1x=1, exactly where the derivative parabola crosses the xx-axis. The parabola decreases for x<0x<0 and increases for x>0x>0, matching the negative and positive sides of the line f′′=6xf''=6x. The cubic therefore changes concavity at x=0x=0.

Do not match graphs by overall shape, height, or a single zero. A derivative records slope, not the original function's output. A proposed match is justified only when signs, zeros, turning behavior, and concavity agree at the same inputs.

5.10 Introduction to Optimization Problems

Syllabus
2020
Topic
5.10
Level
—

Turn Constraints into an Optimization Function

An optimization problem asks for the greatest or least value of an objective quantity subject to constraints. Calculus begins only after the objective has been written as a function of one variable and its feasible interval has been identified.

  1. Name the quantity to maximize or minimize.\n2. Write an objective equation and a separate constraint.\n3. Use the constraint to express the objective in one variable.\n4. Determine the feasible domain from the context.\n5. Find interior critical points and compare all valid candidates, including endpoints when they belong to the interval.\n6. Answer with the requested quantity, units, and a contextual interpretation.

For a rectangle with fixed perimeter P>0P>0, let its sides be xx and yy. The constraint 2x+2y=P2x+2y=P gives y=P/2−xy=P/2-x. Therefore A(x)=x(P2−x),0≤x≤P2.A(x)=x\left(\frac{P}{2}-x\right),\qquad 0\le x\le\frac{P}{2}. Differentiate: A′(x)=P/2−2xA'(x)=P/2-2x, so the interior candidate is x=P/4x=P/4. Then y=P/4y=P/4. The endpoint areas are 00, while A(P/4)=P2/16A(P/4)=P^2/16, so the maximum area is P2/16P^2/16 square units and occurs for a square.

Solving A′(x)=0A'(x)=0 produces a candidate input, not automatically the requested optimum. Check that it is feasible, compare it with every required endpoint or other critical point, and distinguish the optimizing dimensions from the maximum or minimum value itself.

5.11 Solving Optimization Problems

Syllabus
2020
Topic
5.11
Level
—

State What an Optimum Means in Context

A complete optimization conclusion interprets both coordinates of the result. If x=x∗x=x^* produces an extremum of Q(x)Q(x), then x∗x^* describes the input, design, time, or condition that achieves the optimum, while Q(x∗)Q(x^*) is the minimum or maximum value of the quantity being optimized.

| Mathematical result | Contextual meaning |\n|---|---|\n| x∗x^* | the feasible choice or condition that produces the optimum |\n| Q(x∗)Q(x^*) | the greatest or least achievable objective value |\n| domain of xx | the choices allowed by the context |\n| units of xx and QQ | what each numerical value measures |

Name the quantity, state whether the result is a minimum or maximum, report where it occurs, give the optimized value with units, and connect it to the feasible interval. Use “absolute” only when the comparison covered every candidate required on that interval.

For the fixed-perimeter rectangle from the previous method, the calculation gives side lengths x=y=P/4x=y=P/4 and area A=P2/16A=P^2/16. The interpretation is: among all rectangles with perimeter PP, the square with side length P/4P/4 has the greatest possible area, P2/16P^2/16. If PP is measured in meters, the side lengths are in meters and the maximum area is in square meters.

Do not report only the critical input or only the function value. A correct derivative calculation can still produce an unusable conclusion if the input violates the feasible domain, the units are missing, or a local extremum is described as globally optimal without a complete comparison.

5.12 Exploring Behaviors of Implicit Relations

Syllabus
2020
Topic
5.12
Level
—

Find Critical Points on an Implicit Relation

For a branch of an implicit relation, a critical point is a point (x,y)(x,y) on the relation where dy/dx=0dy/dx=0 or where dy/dxdy/dx does not exist. The answer is a coordinate pair, so a derivative condition alone is not enough.

Differentiate implicitly and solve two cases: set the numerator of dy/dxdy/dx equal to zero while the denominator is nonzero; then set the denominator equal to zero and examine where the derivative is undefined. In both cases, solve together with the original relation and verify that the relevant branch exists near the point.

For x2+4y2=4x^2+4y^2=4, implicit differentiation gives dy/dx=−x/(4y)dy/dx=-x/(4y). The derivative is zero when x=0x=0; the original relation then gives (0,1)(0,1) and (0,−1)(0,-1). It is undefined when y=0y=0; the relation gives (2,0)(2,0) and (−2,0)(-2,0). Thus all four are critical points of the relation; the first pair has horizontal tangents and the second pair has vertical tangents.

Do not list only xx-values or cancel a factor before checking where it is zero. If both numerator and denominator vanish, the simplified derivative may hide a singular point; inspect the original relation and its local branches before classifying it.

Use Derivatives to Describe an Implicit Branch

An implicitly defined branch can be analyzed without solving explicitly for yy. Use the sign of dy/dxdy/dx to justify where the branch increases or decreases, and the sign of d2y/dx2d^2y/dx^2 to justify where it is concave up or concave down.

First find dy/dxdy/dx from the relation. Differentiate that equation again with respect to xx, treating yy as a function of xx; the result may contain xx, yy, and dy/dxdy/dx. Substitute the first-derivative relation when useful, then determine signs using the coordinates and branch conditions supplied by the original relation.

x^2+y^2=25 \qquad \frac{dy}{dx}=-\frac{x}{y} \qquad \frac{d^2y}{dx^2}=-\frac{25}{y^3}

On the upper semicircle, y>0y>0, so d2y/dx2<0d^2y/dx^2<0: the entire upper branch is concave down. There, dy/dx=−x/ydy/dx=-x/y is positive when x<0x<0 and negative when x>0x>0, so the branch increases to (0,5)(0,5) and then decreases. On the lower branch, y<0y<0, so the concavity conclusion reverses.

A sign conclusion belongs only to the branch and interval on which its conditions hold. Do not assign one increasing, decreasing, or concavity statement to an entire relation when different branches give different signs, and do not cross points where the required derivative is undefined.