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Derivatives(III)

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Chapter Overview
Welcome to one of the most practical and visual chapters in Calculus! In previous sections, you learned the algebraic mechanics of finding the derivative ($f'(x)$). In this chapter, we explore why we calculate it. Derivatives provide the mathematical tools to analyze and understand the dynamic behavior of functions—determining whether they are rising or falling, locating their peak turning points, and analyzing how their curves bend in 2D space.
What this chapter covers
Geometrical & Physical Meanings of DerivativesIncreasing & Decreasing IntervalsLocal Maxima & Minima (The Second Derivative Test)Concavity & Points of InflectionApplied Optimization Problems
Learning Objectives
1
Explain the geometrical and physical meaning of the first and second derivatives with clear rate-of-change analogies
2
Analyze a function algebraically to identify the exact intervals where it is increasing or decreasing
3
Locate critical points and classify them as local maxima or local minima using successive differentiation tests
4
Analyze the curvature of a function to determine intervals of concavity and locate points of inflection
5
Formulate and solve real-world optimization models to find maximum areas, minimum perimeters, and optimal dimensions
The Direction and Bend of Curves
Key Insight
The first derivative $f'(x)$ acts as a direction tracker, telling you if a function is climbing or falling. The second derivative $f''(x)$ acts as a shape tracker, telling you how the curve is bending.
A stationary point where $f'(x) = 0$ is simply a candidate for a maximum or minimum. You must perform further tests, such as the Second Derivative Test, to confirm its mathematical identity.
Key Definitions
Geometrical Meaning
The derivative $\frac{dy}{dx}$ at any given point on a curve represents the exact slope of the tangent line drawn to the curve at that point.
Stationary Point
A point on a curve where the tangent line is completely flat and horizontal (parallel to the x-axis). At these points, the rate of change is zero.
$$f'(x) = 0$$
Increasing Function
A function whose output values get larger as its input values get larger. This occurs when the slope of the function remains positive.
$$f'(x) > 0$$
Decreasing Function
A function whose output values get smaller as its input values get larger. This occurs when the slope of the function remains negative.
$$f'(x) < 0$$
Point of Inflection
A point on a curve where the concavity changes from concave upward to concave downward, or vice-versa.
$$f''(x) = 0 \quad \text{and} \quad f'''(x) \neq 0$$
Local vs. Absolute Extrema
When searching for the highest and lowest points of a function, we must distinguish between local turning points and the overall boundaries of the function.
Local Extrema
$$f'(c) = 0 \text{ and } f''(c) \neq 0$$
Represents peaks (maxima) or valleys (minima) relative to neighboring points.
Identified by locating stationary points where the first derivative is zero.
Classified using the sign of the second derivative (positive for minimum, negative for maximum).
A function can have multiple local maxima and local minima on its domain.
VS
Absolute Extrema
$$\text{Evaluate } f(c), f(a), f(b)$$
Represents the single highest or lowest value over an entire specified interval $[a, b]$.
Requires evaluating the function at critical points as well as the boundary endpoints.
The highest overall value is the absolute maximum; the lowest is the absolute minimum.
On a closed interval, a continuous function is guaranteed to have exactly one of each.
Memory Key: Local extrema are local hills and valleys. Absolute extrema are the highest and lowest values over the entire defined interval, including its boundaries.
Formula Sheet — Extrema & Concavity Conditions
Geometrical Slope of a Tangent
$$m = \lim_{\Delta x \to 0} \frac{f(x + \Delta x) - f(x)}{\Delta x} = \frac{dy}{dx}$$
Proves why the derivative equals the slope of the tangent line.
The Second Derivative Test
$$f'(c) = 0 \implies \begin{cases} f''(c) < 0 \to \text{Local Max} \\ f''(c) > 0 \to \text{Local Min} \end{cases}$$
Used to classify stationary points.
Finding Local Extrema
Use this step-by-step pathway to systematically locate and classify local maximum and minimum values of a function.
Have you calculated the first derivative f'(x) and solved f'(x) = 0?
Yes
Identify these solutions as critical points (x = c). Continue ↓
No
Differentiate f(x) to find f'(x), set it to zero, and solve for x.
What is the sign of the second derivative evaluated at these points, f''(c)?
Yes
If f''(c) is positive (+), it is a Local Minimum. If f''(c) is negative (-), it is a Local Maximum. Continue ↓
No
If f''(c) is exactly 0, the Second Derivative Test is inconclusive. You must use the First Derivative Test.
Do you need to find the actual minimum/maximum values of the function?
Yes
Substitute the critical values x = c back into the original function f(x) to calculate the coordinates.
No
The coordinates x = c are the locations of the extrema.
The Smile and Frown Trick
Trick: Remember the behavior of the second derivative with simple visual cues.
Steps to Remember:
  1. Positive is Happy: When the second derivative is positive ($f''(x) > 0$), associate it with a happy smile face (cup). The shape is concave upward, and the turning point at the bottom is a local minimum.
  2. Negative is Sad: When the second derivative is negative ($f''(x) < 0$), associate it with a sad frown face (cap). The shape is concave downward, and the turning point at the top is a local maximum.
  3. Stationary means Stopped: At a stationary point, the first derivative is zero ($f'(x) = 0$). This means the upward or downward movement of the curve has paused.
Mnemonic: Positive second derivative = Concave Up/Local Minimum. Negative second derivative = Concave Down/Local Maximum.
Common Mistakes to Avoid

Pay attention to these common pitfalls that often lead to lost marks in board exams.

  • Confusing the sign of f''(x): Many students assume that because a value is positive ($f''(x) > 0$), it must represent a 'Maximum' value. Remember that the opposite is true—a positive second derivative represents a Local Minimum.
  • Forgetting interval endpoints in absolute calculations: When solving for the absolute maximum or minimum over a closed interval $[a, b]$, you must evaluate the functional value at the endpoints $f(a)$ and $f(b)$ in addition to your critical points.
  • Failing to confirm concavity changes: For a point of inflection, setting $f''(x) = 0$ is only a candidate point. You must mathematically verify that the second derivative actually changes signs across that value (often verified by showing that $f'''(x) \neq 0$).
NEB Exam Traps & Tips
NEB Exam Warning
Keep these targeted tips in mind to navigate tricky exam questions smoothly.
  • When finding intervals where a function is increasing or decreasing, make sure to write your final answer in interval notation using open brackets (e.g., $(a, b)$) as stationary endpoints themselves have a slope of zero.
  • In optimization word problems, always write your constraint equation first. Expressing the quantity you want to maximize or minimize in terms of a single variable is the key to differentiating correctly.
  • If the second derivative test yields exactly 0 at a critical point, do not guess. Revert to the First Derivative Test and examine the sign of $f'(x)$ immediately to the left and right of the critical point.
Question Recognition Guide
Keyword / Phrase in QuestionUse This
Find the interval where a function is rising, falling, increasing, or decreasingInterval test: Find $f'(x)$, set up the inequality $f'(x) > 0$ or $f'(x) < 0$, and solve for x.
Find turning points, critical points, stationary points, or extremaExtrema test: Find $f'(x)$ and solve $f'(x) = 0$. Apply the second derivative test to classify.
Find maximum area, minimum cost, or optimal dimensions with geometric parametersOptimization model: Write down the primary formula, substitute constraints to obtain a single variable, differentiate, set to zero, and solve.
Determine intervals of curvature, concavity, or points of inflectionCurvature test: Compute $f''(x)$. Solve $f''(x) = 0$ for inflection points, and check the sign of $f''(x)$ for concavity.
Visualizing turning points and concavity
This graph illustrates the primary components of applications of derivatives. The local maximum occurs at the peak, while the local minimum is at the lowest valley. The point of inflection lies exactly where the curve transitions from curving downward to curving upward.
Local MaxInflection PtLocal Min
The transition of a curve through extrema and its inflection point.
Solved Examples
1
Determine if the function $f(x) = 5x + 10$ is increasing or decreasing on the set of real numbers $\mathbb{R}$.
Easy
2
Find the local maxima and local minima of the function $f(x) = x^3 - 3x + 5$.
Medium
3
Find the absolute maximum value of the function $f(x) = 2x^3 - 3x^2$ on the closed interval $[-1, 2]$.
Hard
MCQ Practice
Mixed Level — MCQ
1
The slope of the tangent to the curve y = x^2 at the point x = 3 is:
Correct!
Incorrect. Correct: 6
2
If f'(x) < 0 for all x in a given interval, then the function is:
Correct!
Incorrect. Correct: Decreasing
3
A stationary point occurs on a curve when:
Correct!
Incorrect. Correct: f'(x) = 0
4
For a local maximum to occur at x = c, what are the mathematical conditions?
Correct!
Incorrect. Correct: f'(c) = 0 and f''(c) < 0
5
The function f(x) = x^2 is concave upward on which of the following intervals?
Correct!
Incorrect. Correct: For all real x
6
At a Point of Inflection, which of the following must hold true?
Correct!
Incorrect. Correct: f''(x) = 0
7
Of all rectangles with a fixed perimeter, the shape with the maximum area is a:
Correct!
Incorrect. Correct: Square
8
If f'(c) = 0, f''(c) = 0, but f'''(c) ≠ 0, then the point c is classified as a:
Correct!
Incorrect. Correct: Point of Inflection
9
The velocity of a particle with position function s(t) is calculated as:
Correct!
Incorrect. Correct: s'(t)
10
To find the absolute maximum of a continuous function on [a, b], we must evaluate:
Correct!
Incorrect. Correct: Both stationary points and endpoints
Short Questions (2 Marks Each)
1
Find the slope of the tangent to the curve $f(x) = x^3 - x$ at the point where $x = 2$.
[2 marks]
2
Show that the function $f(x) = 7x - 3$ is strictly increasing on the set of real numbers $\mathbb{R}$.
[2 marks]
3
Find the critical points of the function $f(x) = x^2 - 6x + 8$.
[2 marks]
4
Find the interval on which the function $f(x) = -x^2 + 4x$ is decreasing.
[2 marks]
5
State the conditions required by the Second Derivative Test for a local minimum.
[2 marks]
6
Find the second derivative of the function $f(x) = x^4$.
[2 marks]
7
Determine the concavity of the function $f(x) = e^x$ on the domain of all real numbers.
[2 marks]
8
Define the term 'Point of Inflection'.
[2 marks]
9
Find the value of $x$ for which the function $f(x) = x^2$ has a local minimum.
[2 marks]
10
What is the geometrical significance of the equation $f'(x) = 0$?
[2 marks]
Long Questions (Board Style)
1
Divide the number 20 into two parts such that their product is maximum.
[3 marks]
2
Find the local maxima and local minima of the function $f(x) = 2x^3 - 15x^2 + 36x + 10$.
[3 marks]
3
Prove that a rectangle with a given area has the minimum perimeter when it is a square.
[3 marks]
4
Find the points of inflection for the function $f(x) = x^4 - 6x^2 + 5$.
[3 marks]
5
Find the absolute extrema of the function $f(x) = x^3 - 6x^2 + 9x + 2$ on the closed interval $[0, 4]$.
[3 marks]
6
Determine the intervals of concavity for the function $f(x) = 2x^3 - 12x^2 + 18x - 5$.
[3 marks]
7
Find two positive numbers whose sum is 16 and the sum of whose squares is minimum.
[3 marks]
8
A wire of length 20 cm is bent into a rectangle. Find the dimensions of the rectangle that yield the maximum area.
[3 marks]
9
Show that the function $f(x) = x^3 - 3x^2 + 3x + 7$ has neither a local maximum nor a local minimum.
[3 marks]
10
Explain the physical meaning of the derivative using the example of a moving car.
[3 marks]
Past NEB Board Questions
Past NEB Board Questions
1
Find the critical points and the intervals on which the function $f(x) = 2x^3 - 3x^2 - 12x + 6$ is increasing or decreasing.
NEB 2080 [3 marks]
2
An open box is to be made from a square piece of cardboard of side 24 cm by cutting out equal squares from the corners and bending up the sides. Find the side of the cut-out square for maximum volume.
NEB 2079 [3 marks]
3
Find the points of inflection of the curve $y = 2x^3 - 3x^2 - 12x + 5$.
NEB 2078 [3 marks]
Chapter Test — Full Mixed Paper
Attempt this test in 45 minutes without looking at your notes, and then verify your solutions.
1 Section A — MCQs (1 Mark Each)
Mixed Level — MCQ
1
The slope of the tangent to a flat line y = 5 is:
Correct!
Incorrect. Correct: 0
2
A negative second derivative (f''(x) < 0) over an interval indicates that the curve is:
Correct!
Incorrect. Correct: Concave Downward
3
If x1 < x2 implies f(x1) < f(x2), then the function is:
Correct!
Incorrect. Correct: Increasing
2 Section B — Short Questions (2 Marks Each)
1
Find the derivative $f'(x)$ for the function $f(x) = \ln x$.
[2 marks]
2
Determine whether the function $f(x) = -x^3$ is increasing or decreasing on $\mathbb{R}$.
[2 marks]
3
Find the critical point of the function $y = x^2 - 10x$.
[2 marks]
3 Section C — Long Questions (3 Marks Each)
1
Maximize the area $A = xy$ given the boundary constraint equation $2x + y = 100$.
[3 marks]
2
Find the point of inflection of the curve $y = x^3 - 3x^2$.
[3 marks]
3
Find the absolute maximum value of the function $f(x) = x^2$ on the interval $[-2, 3]$.
[3 marks]
One-Page Revision Cheat Sheet
1
Slope check: The derivative $f'(x)$ represents the slope of the tangent line. Set $f'(x) > 0$ for increasing intervals, and $f'(x) < 0$ for decreasing intervals.
2
Extrema identification: Set $f'(x) = 0$ to find stationary points. Use the Second Derivative Test to classify: $f''(x) > 0$ yields a Local Minimum, and $f''(x) < 0$ yields a Local Maximum.
3
Concavity boundaries: Set $f''(x) = 0$ to locate points of inflection where curvature changes. Concave upward occurs when $f''(x) > 0$, and concave downward occurs when $f''(x) < 0$.
4
Absolute Extrema rules: To find overall maximum/minimum boundaries on a closed interval $[a, b]$, you must test the boundary values $f(a)$ and $f(b)$ along with the internal critical values.
5
Optimization modeling: Set up a constraint equation, express the target variable in terms of a single letter, differentiate, set to zero, and classify.
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