100% FREE Updated: Apr 2026 Calculus Calculus-based reasoning

Function behaviour

Comprehensive study notes on Function behaviour for CMI BS Hons preparation. This chapter covers key concepts, formulas, and examples needed for your exam.

Function behaviour

This chapter rigorously examines the behaviour of functions, focusing on their increasing and decreasing intervals, and the intuitive principles of graph sketching. A thorough understanding of these concepts is crucial for determining the number of roots and solving complex problems that integrate algebraic and calculus techniques, forming a cornerstone of CMI examination success.

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Chapter Contents

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| Topic |

|---|-------| | 1 | Increasing-decreasing behaviour | | 2 | Graph sketch intuition | | 3 | Number of roots from graph | | 4 | Combined algebra-calculus problems |

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We begin with Increasing-decreasing behaviour.

Part 1: Increasing-decreasing behaviour

Increasing-Decreasing Behaviour

Overview

Increasing-decreasing behaviour is not just about checking whether a derivative is positive or negative. In stronger exam questions, this topic connects monotonicity with boundedness, limits, uniqueness of roots, and even construction of unusual examples. The PYQs for this topic clearly show that CMI is interested not only in routine sign charts, but also in proof-based reasoning and counterexample construction. ---

Learning Objectives

By the End of This Topic

After studying this topic, you will be able to:

  • Distinguish weakly increasing, strictly increasing, weakly decreasing, and strictly decreasing functions.

  • Use derivative sign and the mean value theorem to study increasing-decreasing behaviour.

  • Understand what bounded monotone behaviour forces at ±\pm\infty.

  • Prove that if a bounded increasing differentiable function has limxf(x)\lim_{x\to\infty} f'(x), then that limit must be 00.

  • Construct differentiable bounded monotone functions with highly nontrivial derivative behaviour.

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Core Definitions

📖 Increasing and Decreasing

Let II be an interval.

    • ff is weakly increasing on II if

a<b    f(a)f(b)\qquad a<b \implies f(a)\le f(b)

    • ff is strictly increasing on II if

a<b    f(a)<f(b)\qquad a<b \implies f(a)<f(b)

    • ff is weakly decreasing on II if

a<b    f(a)f(b)\qquad a<b \implies f(a)\ge f(b)

    • ff is strictly decreasing on II if

a<b    f(a)>f(b)\qquad a<b \implies f(a)>f(b)

Weak vs Strict

A weakly increasing function can stay flat on an interval.
A strictly increasing function never repeats a value at two different points.

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Derivative Tests

📐 Derivative Sign Criterion

Suppose ff is differentiable on an interval II.

    • If f(x)>0f'(x)>0 for all xIx\in I, then ff is strictly increasing on II.

    • If f(x)<0f'(x)<0 for all xIx\in I, then ff is strictly decreasing on II.

    • If f(x)0f'(x)\ge0 for all xIx\in I, then ff is weakly increasing on II.

    • If f(x)0f'(x)\le0 for all xIx\in I, then ff is weakly decreasing on II.

📐 Converse for Differentiable Monotone Functions

If ff is differentiable and increasing on an interval, then

f(x)0\qquad f'(x)\ge0

for every point of the interval.

If ff is differentiable and decreasing on an interval, then

f(x)0\qquad f'(x)\le0

for every point of the interval.

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Mean Value Theorem Link

📐 Why Derivatives Control Behaviour

If ff is continuous on [a,b][a,b] and differentiable on (a,b)(a,b), then by the mean value theorem there exists c(a,b)c\in(a,b) such that

f(b)f(a)=f(c)(ba)\qquad f(b)-f(a)=f'(c)(b-a)

So:

    • if f(x)0f'(x)\ge0 everywhere, then f(b)f(a)0f(b)-f(a)\ge0

    • if f(x)0f'(x)\le0 everywhere, then f(b)f(a)0f(b)-f(a)\le0

💡 CMI Strategy

Whenever you need to prove increasing-decreasing behaviour rigorously, think:

  • sign of ff'

  • mean value theorem

  • monotonicity consequences

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Sign Chart Method

📐 Standard Procedure

To determine increasing-decreasing intervals:

  • Compute f(x)f'(x)

  • Solve f(x)=0f'(x)=0 and note points where ff' is undefined

  • Split the domain into intervals

  • Check the sign of ff' on each interval

  • Positive means increasing, negative means decreasing

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Important Subtleties

⚠️ Do Not Overstate f(a)=0f'(a)=0

The condition f(a)=0f'(a)=0 at one point does not mean the function stops increasing.

Example:
For f(x)=x3f(x)=x^3,
f(x)=3x2\qquad f'(x)=3x^2

and
f(0)=0\qquad f'(0)=0

but ff is still strictly increasing on all real numbers.

⚠️ Strict Increase Does Not Require f(x)>0f'(x)>0 Everywhere

A differentiable strictly increasing function may have derivative 00 at some points.

Example:
f(x)=x3f(x)=x^3 is strictly increasing on R\mathbb{R}, but f(0)=0f'(0)=0.

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Bounded Monotone Functions

Bounded Monotone Behaviour

If ff is increasing and bounded above on [A,)[A,\infty), then limxf(x)\lim_{x\to\infty} f(x) exists and is finite.

If ff is decreasing and bounded below on [A,)[A,\infty), then limxf(x)\lim_{x\to\infty} f(x) exists and is finite.

More generally, a bounded monotone function has one-sided limits at the ends of its interval.

This is extremely useful in reasoning-based questions. ---

A Key PYQ-Type Result

📐 If limxf(x)\lim_{x\to\infty} f'(x) Exists for a Bounded Increasing Function

Suppose:

    • ff is differentiable

    • ff is increasing

    • ff is bounded

    • limxf(x)=L\lim_{x\to\infty} f'(x)=L exists


Then necessarily

L=0\qquad L=0

Reason: Since ff is increasing and differentiable, we must have f(x)0f'(x)\ge0, so L0L\ge0. If L>0L>0, then for all sufficiently large xx we would have f(x)L2\qquad f'(x)\ge \dfrac{L}{2} Then by the mean value theorem, ff would increase at least linearly on the tail, contradicting boundedness. Hence the only possible limit is 0\boxed{0}. ---

Construction Ideas

How to Build Strange Monotone Examples

The PYQs also test construction.

A powerful method is:

  • First construct a continuous function h(x)h(x) with the derivative behaviour you want.

  • Keep h(x)0h(x)\ge0 if you want the resulting function to be increasing.

  • Make hh integrable if you want the resulting function to be bounded.

  • Define


f(x)=h(t)dt\qquad f(x)=\int h(t)\,dt

Then f(x)=h(x)f'(x)=h(x) by the fundamental theorem of calculus.

Typical construction template

Take a continuous nonnegative “bump train” h(x)h(x):
  • each bump has small area
  • total area is finite
  • bump heights do not settle to one limit
Then define f(x)=0xh(t)dt\qquad f(x)=\int_0^x h(t)\,dt Now:
  • f(x)=h(x)0f'(x)=h(x)\ge0, so ff is weakly increasing
  • 0h(t)dt<\int_0^\infty h(t)\,dt<\infty, so ff is bounded
  • if hh oscillates forever without approaching a limit, then limxf(x)\lim_{x\to\infty} f'(x) does not exist
To make the function strictly increasing everywhere, add a small positive continuous integrable term such as ex2e^{-x^2} to the bump train. ---

Minimal Worked Example

Example Determine the increasing-decreasing behaviour of f(x)=x33x2\qquad f(x)=x^3-3x^2 Differentiate: f(x)=3x26x=3x(x2)\qquad f'(x)=3x^2-6x=3x(x-2) Now:
  • if x<0x<0, then f(x)>0f'(x)>0
  • if 0<x<20<x<2, then f(x)<0f'(x)<0
  • if x>2x>2, then f(x)>0f'(x)>0
So:
  • increasing on (,0)\qquad (-\infty,0) and (2,)(2,\infty)
  • decreasing on (0,2)\qquad (0,2)
---

Root and Uniqueness Consequences

📐 Monotonicity and Number of Solutions

If ff is strictly increasing on an interval, then the equation

f(x)=c\qquad f(x)=c

has at most one solution in that interval.

Similarly, if ff is strictly decreasing on an interval, then it also takes each value at most once there.

This is often how monotonicity is used in proof-based problems. ---

Common Patterns in Questions

📐 Typical Exam Patterns

  • Find increasing and decreasing intervals from f(x)f'(x)

  • Prove a function is increasing or decreasing using the mean value theorem

  • Show a bounded monotone function has a finite limit

  • Prove that a derivative limit must equal 00

  • Construct examples where the function is monotone and bounded but the derivative behaves wildly

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Common Mistakes

⚠️ Avoid These Errors
    • ❌ Solving only f(x)=0f'(x)=0 and stopping
✅ You must study the sign of ff' on intervals
    • ❌ Thinking f(a)=0f'(a)=0 means the function is not increasing there
✅ This is false in general
    • ❌ Forgetting that bounded monotone functions have tail limits
✅ This is a major structural fact
    • ❌ Assuming derivative limits exist automatically for bounded monotone functions
✅ The PYQs explicitly test that this can fail
    • ❌ Building an “increasing bounded” example with non-integrable derivative
✅ If f(x)0f'(x)\ge0 and its integral diverges, the function will not stay bounded
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Practice Questions

:::question type="MCQ" question="Suppose ff is differentiable on R\mathbb{R} and f(x)0f'(x)\ge0 for all xx. Which statement must be true?" options=["ff is strictly increasing","ff is weakly increasing","ff is bounded","f(x)>0f'(x)>0 for all xx"] answer="B" hint="Use the mean value theorem." solution="If f(x)0f'(x)\ge0 everywhere, then by the mean value theorem f(b)f(a)0f(b)-f(a)\ge0 whenever a<ba<b. Hence ff is weakly increasing. Strict increase need not hold, because the function may be constant on some interval. Therefore the correct option is B\boxed{B}." ::: :::question type="NAT" question="If ff is differentiable, increasing, bounded, and limxf(x)\lim_{x\to\infty} f'(x) exists, then what must that limit be?" answer="0" hint="If the limit were positive, the function would eventually grow too fast." solution="Since ff is increasing and differentiable, we have f(x)0f'(x)\ge0, so the limit LL must satisfy L0L\ge0. If L>0L>0, then for sufficiently large xx we would have f(x)L/2f'(x)\ge L/2. By the mean value theorem this would force ff to grow at least linearly on the tail, contradicting boundedness. Hence the only possible value is 0\boxed{0}." ::: :::question type="MSQ" question="Which of the following statements are true?" options=["A differentiable increasing function must satisfy f(x)0f'(x)\ge0 everywhere","A strictly increasing differentiable function can have f(a)=0f'(a)=0 at some point","If f(x)>0f'(x)>0 on an interval, then ff is strictly increasing there","A bounded increasing differentiable function must satisfy limxf(x)=0\lim_{x\to\infty} f'(x)=0"] answer="A,B,C" hint="Think separately about derivative sign, strict increase, and existence of derivative limits." solution="1. True. This is the converse derivative fact for differentiable increasing functions.
  • True. Example: f(x)=x3f(x)=x^3 is strictly increasing and f(0)=0f'(0)=0.
  • True. Positive derivative on an interval implies strict increase.
  • False. The limit, if it exists, must be 00, but it need not exist at all.
  • Hence the correct answer is A,B,C\boxed{A,B,C}." ::: :::question type="SUB" question="Prove that if ff is differentiable on an interval II and f(x)0f'(x)\ge0 for all xIx\in I, then ff is increasing on II." answer="Use the mean value theorem." hint="Apply the mean value theorem to [a,b][a,b] with a<ba<b." solution="Let a<ba<b be points in II. Since ff is differentiable on II, it is continuous on [a,b][a,b] and differentiable on (a,b)(a,b). By the mean value theorem, there exists c(a,b)c\in(a,b) such that f(b)f(a)=f(c)(ba)\qquad f(b)-f(a)=f'(c)(b-a). Now f(c)0f'(c)\ge0 by hypothesis, and ba>0b-a>0. Hence f(b)f(a)0\qquad f(b)-f(a)\ge0. So f(a)f(b)f(a)\le f(b) whenever a<ba<b. Therefore ff is increasing on II." ::: ---

    Summary

    Key Takeaways for CMI

    • Derivative sign is the main local tool for increasing-decreasing behaviour.

    • Mean value theorem gives the rigorous bridge from derivative sign to monotonicity.

    • A differentiable increasing function satisfies f(x)0f'(x)\ge0 everywhere.

    • Bounded monotone functions have one-sided limits at the ends of their intervals.

    • If a bounded increasing differentiable function has limxf(x)\lim_{x\to\infty} f'(x), then that limit must be 00.

    • Construction questions are often solved by integrating a carefully designed nonnegative continuous function.

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    💡 Next Up

    Proceeding to Graph sketch intuition.

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    Part 2: Graph sketch intuition

    Graph Sketch Intuition

    Overview

    Graph sketch intuition is the art of predicting the shape of a graph from a small amount of information: sign of the function, derivative, second derivative, symmetry, asymptotes, and end behaviour. In CMI-style questions, you are often not asked to draw a perfect graph; instead, you are asked to infer one decisive feature such as whether a function bends upward or downward, whether a midpoint inequality holds, or whether a turning point is a maximum or a minimum. ---

    Learning Objectives

    By the End of This Topic

    After studying this topic, you will be able to:

    • Use f(x)f'(x) to decide increasing and decreasing behaviour.

    • Use f(x)f''(x) to identify concavity and inflection.

    • Distinguish between local maxima, local minima, and stationary points.

    • Predict graph shape from symmetry, boundedness, and end behaviour.

    • Use concavity intuition to compare values such as f(ah)+f(a+h)f(a-h)+f(a+h) and 2f(a)2f(a).

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    Core Idea

    📖 Graph sketching from calculus

    A graph is usually built from the following layers:

    • Basic domain and range information

    • Intercepts and special values

    • Sign of f(x)f'(x) to know whether the graph rises or falls

    • Sign of f(x)f''(x) to know whether the graph bends up or down

    • Asymptotic behaviour

    • Symmetry and boundedness


    Good graph intuition means converting analytic information into geometric behaviour.

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    First Derivative and Shape

    📐 What f(x)f'(x) Tells You

    If f(x)>0f'(x) > 0 on an interval, then ff is increasing there.

    If f(x)<0f'(x) < 0 on an interval, then ff is decreasing there.

    If f(a)=0f'(a)=0, then x=ax=a is a stationary point. It may be:

      • a local maximum

      • a local minimum

      • neither

    📐 First Derivative Test

    Suppose f(a)=0f'(a)=0.

      • If ff' changes from positive to negative at aa, then f(a)f(a) is a local maximum.

      • If ff' changes from negative to positive at aa, then f(a)f(a) is a local minimum.

      • If there is no sign change, then aa need not be an extremum.

    ---

    Second Derivative and Curvature

    📐 What f(x)f''(x) Tells You

    If f(x)>0f''(x) > 0 on an interval, the graph is concave up there.

    If f(x)<0f''(x) < 0 on an interval, the graph is concave down there.

    If ff'' changes sign at x=ax=a, then x=ax=a is an inflection point.

    Geometric Meaning
      • Concave up means the graph bends upward like a cup.
      • Concave down means the graph bends downward like an arch.
    ---

    The Midpoint / Chord Intuition

    📐 Concavity and Midpoint Comparison

    If ff is concave down on an interval and ah, a, a+ha-h,\ a,\ a+h all lie in that interval, then typically

    f(ah)+f(a+h)<2f(a)\qquad f(a-h)+f(a+h) < 2f(a)

    If ff is concave up, then typically

    f(ah)+f(a+h)>2f(a)\qquad f(a-h)+f(a+h) > 2f(a)

    Why This Matters

    This is exactly the kind of idea used in graph-based comparison questions.

      • Concave down graph lies above its chord.

      • Concave up graph lies below its chord.


    So midpoint values are larger for concave-down graphs and smaller for concave-up graphs.

    ---

    Tangent Intuition

    📐 Tangent as Local Linear Picture

    At a point x=ax=a, the tangent line is

    yf(a)=f(a)(xa)\qquad y-f(a)=f'(a)(x-a)

    The derivative tells you the local slope. Near x=ax=a, the tangent line gives the simplest approximation to the graph.

    If f(a)>0f'(a)>0, the graph rises there. If f(a)<0f'(a)<0, the graph falls there. If f(a)=0f'(a)=0, the tangent is horizontal. ---

    Symmetry Clues

    📐 Even and Odd Functions

    If f(x)=f(x)f(-x)=f(x) for all xx, then ff is even and its graph is symmetric about the yy-axis.

    If f(x)=f(x)f(-x)=-f(x) for all xx, then ff is odd and its graph is symmetric about the origin.

    These are powerful sketching shortcuts. ---

    End Behaviour and Boundedness

    Shape at Infinity

    To sketch a graph well, always ask:

      • What happens as xx\to\infty?

      • What happens as xx\to-\infty?

      • Is the function bounded above or below?

      • Does it approach a horizontal or vertical asymptote?

    Examples:
    • arctanx\arctan x is bounded above by π2\dfrac{\pi}{2} and below by π2-\dfrac{\pi}{2}
    • 1x\dfrac{1}{x} has two branches and vertical/horizontal asymptotes
    • exe^{-x} decreases but stays positive and tends to 00 as xx\to\infty
    ::: ---

    A Key Example: arctanx\arctan x

    📐 Why arctanx\arctan x Is a Perfect Graph-Intuition Function

    For
    f(x)=arctanx\qquad f(x)=\arctan x

    we have

    f(x)=11+x2>0\qquad f'(x)=\dfrac{1}{1+x^2}>0

    so the graph is increasing on all real numbers.

    Also,

    f(x)=2x(1+x2)2\qquad f''(x)=\dfrac{-2x}{(1+x^2)^2}

    So:

      • for x>0x>0, f(x)<0f''(x)<0, hence the graph is concave down

      • for x<0x<0, f(x)>0f''(x)>0, hence the graph is concave up

      • at x=0x=0, concavity changes, so there is an inflection point

    This means that on the positive side, midpoint comparison gives: arctan(ah)+arctan(a+h)<2arctan(a)\qquad \arctan(a-h)+\arctan(a+h) < 2\arctan(a) for suitable positive a,ha,h. ---

    Minimal Worked Examples

    Example 1 Suppose f(x)>0f'(x)>0 and f(x)<0f''(x)<0 on an interval. Then the graph is:
    • increasing
    • concave down
    So the function rises, but the slope keeps decreasing. --- Example 2 For f(x)=x33xf(x)=x^3-3x, f(x)=3x23=3(x1)(x+1)\qquad f'(x)=3x^2-3=3(x-1)(x+1) So the stationary points are at x=±1x=\pm1. Now check sign of ff':
    • positive for x<1x<-1
    • negative for 1<x<1-1<x<1
    • positive for x>1x>1
    Therefore:
    • local maximum at x=1x=-1
    • local minimum at x=1x=1
    This is the kind of structure graph-sketch problems often test. ---

    What Information Is Not Enough?

    ⚠️ Do Not Over-Conclude

    The following facts alone are usually not enough to sketch the graph fully:

      • continuity

      • boundedness

      • existence of derivative

      • positivity of first derivative at one point


    A graph problem often depends on where these properties hold, not just whether they hold.

    ---

    Common Mistakes

    ⚠️ Avoid These Errors
      • ❌ Thinking f(a)=0f'(a)=0 always means maximum or minimum
    ✅ It may also be a stationary inflection point
      • ❌ Thinking one common graph feature determines the whole shape
    ✅ Use several features together
      • ❌ Mixing up concave up and concave down
    ✅ Concave down means midpoint value tends to be larger than chord average
      • ❌ Using only continuity when the question is really about curvature
    ✅ Curvature depends on the second derivative
    ---

    CMI Strategy

    💡 How to Read a Graph-Sketch Question

    • Identify whether the question is about slope, turning, bending, or symmetry.

    • If comparison of nearby values is involved, think about concavity.

    • If the graph is said to rise or fall, think about the sign of ff'.

    • If the graph “touches and turns,” think about sign change in ff'.

    • If the graph “bends differently” on two sides, think about ff'' and inflection.

    ---

    Practice Questions

    :::question type="MCQ" question="If a differentiable function satisfies f(x)>0f'(x)>0 and f(x)<0f''(x)<0 on an interval, then on that interval the graph is" options=["decreasing and concave up","increasing and concave down","increasing and concave up","decreasing and concave down"] answer="B" hint="Use the meanings of first and second derivatives." solution="Since f(x)>0f'(x)>0, the function is increasing. Since f(x)<0f''(x)<0, the graph is concave down. Therefore the correct option is B\boxed{B}." ::: :::question type="NAT" question="For f(x)=x33xf(x)=x^3-3x, how many stationary points does the graph have?" answer="2" hint="Solve f(x)=0f'(x)=0." solution="We have f(x)=3x23=3(x21)=3(x1)(x+1)\qquad f'(x)=3x^2-3=3(x^2-1)=3(x-1)(x+1) So f(x)=0f'(x)=0 at x=1, 1\qquad x=1,\ -1 Hence the graph has 2\boxed{2} stationary points." ::: :::question type="MSQ" question="Which of the following statements about f(x)=arctanxf(x)=\arctan x are true?" options=["f(x)>0f'(x)>0 for all real xx","f(x)<0f''(x)<0 for all x>0x>0","ff has an inflection point at x=0x=0","ff is unbounded above"] answer="A,B,C" hint="Differentiate once and twice." solution="For f(x)=arctanxf(x)=\arctan x, f(x)=11+x2>0\qquad f'(x)=\dfrac{1}{1+x^2}>0 for all real xx, so statement 1 is true. Also, f(x)=2x(1+x2)2\qquad f''(x)=\dfrac{-2x}{(1+x^2)^2} which is negative for x>0x>0, so statement 2 is true. Since ff'' changes sign at x=0x=0, statement 3 is true. Finally, arctanx\arctan x is bounded above by π2\dfrac{\pi}{2}, so statement 4 is false. Hence the correct answer is A,B,C\boxed{A,B,C}." ::: :::question type="SUB" question="Explain why a concave-down graph on an interval tends to satisfy f(ah)+f(a+h)<2f(a)f(a-h)+f(a+h)<2f(a) for nearby points." answer="Because a concave-down graph lies above its chord, so the midpoint value is larger than the average of nearby endpoint values." hint="Think of the point at the middle compared with the chord joining the two side points." solution="If the graph is concave down, then between two nearby points it lies above the line segment joining them. So the value of the function at the midpoint is greater than the average of the values at the side points. Therefore, f(a)>f(ah)+f(a+h)2\qquad f(a)>\dfrac{f(a-h)+f(a+h)}{2} which gives f(ah)+f(a+h)<2f(a)\qquad f(a-h)+f(a+h)<2f(a). This is the required reason." ::: ---

    Summary

    Key Takeaways for CMI

    • f(x)f'(x) controls increasing and decreasing behaviour.

    • f(x)f''(x) controls concavity and midpoint comparison.

    • A stationary point is not automatically an extremum; sign change matters.

    • Symmetry, asymptotes, and boundedness are major sketching clues.

    • For graph-comparison questions, concavity is often the decisive idea.

    ---

    💡 Next Up

    Proceeding to Number of roots from graph.

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    Part 3: Number of roots from graph

    Number of Roots from Graph

    Overview

    Many CMI-style questions do not ask you to find roots explicitly. Instead, they ask you to count them using the graph of a function or using graphical information such as maxima, minima, sign, monotonicity, and intersections with lines. The central idea is simple: a root is an intersection with the xx-axis, and more general equations are counted by intersections of graphs. ---

    Learning Objectives

    By the End of This Topic

    After studying this topic, you will be able to:

    • Count the number of roots of f(x)=0f(x)=0 from the graph of y=f(x)y=f(x).

    • Count the number of solutions of f(x)=kf(x)=k using horizontal lines.

    • Understand the difference between crossing the axis and touching the axis.

    • Use maxima, minima, and end behaviour to predict the number of roots.

    • Count roots of equations like f(x)=k|f(x)|=k and f(x)=g(x)f(x)=g(x) graphically.

    ---

    Core Meaning of a Root

    📖 Root from a graph

    A real root of the equation f(x)=0f(x)=0 is an xx-value where the graph of y=f(x)y=f(x) meets the xx-axis.

    So:

      • roots of f(x)=0f(x)=0 = intersections of y=f(x)y=f(x) with y=0y=0

      • roots of f(x)=kf(x)=k = intersections of y=f(x)y=f(x) with the horizontal line y=ky=k

      • roots of f(x)=g(x)f(x)=g(x) = intersections of the graphs y=f(x)y=f(x) and y=g(x)y=g(x)

    ---

    Main Graph Rules

    📐 Counting Rules

    • Number of roots of f(x)=0f(x)=0

    = number of points where the graph of y=f(x)y=f(x) meets the xx-axis.

    • Number of roots of f(x)=kf(x)=k

    = number of intersections of y=f(x)y=f(x) with the line y=ky=k.

    • Number of roots of f(x)=g(x)f(x)=g(x)

    = number of intersections of the graphs y=f(x)y=f(x) and y=g(x)y=g(x).

    • Number of roots of f(x)=k|f(x)|=k for k>0k>0

    = number of roots of f(x)=kf(x)=k plus number of roots of f(x)=kf(x)=-k.

    • Number of roots of f(x)=0|f(x)|=0

    = number of roots of f(x)=0f(x)=0.

    ---

    Crossing vs Touching

    Very Important Distinction

    A graph can meet the xx-axis in two common ways:

    • Crossing the axis

    The sign of f(x)f(x) changes.
    Example: positive to negative, or negative to positive.

    • Touching the axis and turning back

    The sign of f(x)f(x) does not change.
    Example: positive to zero to positive.

    Both count as roots.

    So a sign change is sufficient for a root, but not necessary.

    ⚠️ Common Mistake

    Do not say “there is a root only if the graph crosses the axis”.

    A graph that only touches the axis also gives a root.
    Example: y=x2y=x^2 has a root at x=0x=0, but the graph does not cross the axis there.

    ---

    Role of Continuity

    📐 Sign Change Rule for Continuous Graphs

    If ff is continuous on [a,b][a,b] and

    f(a)f(b)<0f(a)\cdot f(b)<0,

    then there is at least one root in (a,b)(a,b).

    This is the graphical meaning of the Intermediate Value Principle: a continuous graph cannot jump across the xx-axis without meeting it.

    💡 Use This Fast

    If a continuous graph is above the axis at one point and below it at another, then at least one root lies in between.

    ---

    Horizontal Line Method

    📐 Equation f(x)=kf(x)=k

    To count roots of f(x)=kf(x)=k, draw or imagine the horizontal line

    y=k\qquad y=k

    Then count how many times this line intersects the graph of y=f(x)y=f(x).

    This is one of the most common ways graph-based root questions are asked. ---

    End Behaviour + Turning Points

    What Maxima and Minima Tell You

    Suppose a graph is continuous and has a local maximum and a local minimum.

    Then the number of roots of f(x)=kf(x)=k depends on where the horizontal line y=ky=k lies relative to those extreme values.

    For example, if:

      • local maximum =M=M

      • local minimum =m=m


    then:

      • if k>Mk>M or k<mk<m, the number of intersections may be smaller

      • if m<k<Mm<k<M, the line can cut the graph multiple times

      • if k=Mk=M or k=mk=m, tangency can occur

    ---

    Standard Root-Counting Patterns

    📐 Typical Patterns

    • If the graph is always above the xx-axis, then f(x)=0f(x)=0 has no real root.


    • If the graph meets the xx-axis once, then there is exactly one real root.


    • If the graph has one local maximum above the axis and one local minimum below the axis, then f(x)=0f(x)=0 often has three real roots.


    • If the graph just touches the axis at one point and stays on the same side otherwise, then there is exactly one real root.


    • If a continuous graph has both ends going to ++\infty and has a minimum below 00, then it usually has two roots of f(x)=0f(x)=0.

    ---

    Symmetry and Absolute Value Tricks

    📐 Useful Graphical Identities

    • Roots of f(x)=k|f(x)|=k for k>0k>0

    come from both:
    - f(x)=kf(x)=k
    - f(x)=kf(x)=-k

    • Roots of f(x)<k|f(x)|<k

    correspond to the part of the graph lying between the lines y=ky=k and y=ky=-k.

    • Roots of f(x)=0f(|x|)=0

    come from nonnegative roots of f(x)=0f(x)=0:
    - if a>0a>0 is a root of f(x)=0f(x)=0, then x=±ax=\pm a are roots of f(x)=0f(|x|)=0
    - if 00 is a root, it contributes only one root

    ---

    Minimal Worked Examples

    Example 1 A continuous graph has local maximum 33, local minimum 2-2, and tends to ++\infty as x±x\to\pm\infty. How many roots does f(x)=0f(x)=0 have? Since the graph is:
    • high on the far left,
    • goes above 00 at the local maximum,
    • below 00 at the local minimum,
    • high again on the far right,
    the graph must cut the xx-axis three times. So the number of roots is 3\boxed{3}. --- Example 2 If the graph of y=f(x)y=f(x) intersects the line y=2y=2 exactly at four points, then the equation f(x)=2f(x)=2 has 4\boxed{4} roots. ---

    CMI Strategy

    💡 How to Count Roots Fast

    • First decide which graph intersection the equation represents.

    • For f(x)=kf(x)=k, think of the horizontal line y=ky=k.

    • Check whether the graph crosses or only touches.

    • Use maxima, minima, and end behaviour before trying algebra.

    • For absolute values, split into two equations.

    • For continuous graphs, sign change forces at least one root.

    ---

    Practice Questions

    :::question type="MCQ" question="A continuous function ff has local maximum value 44, local minimum value 1-1, and satisfies f(x)+f(x)\to +\infty as x±x\to \pm\infty. How many real roots does the equation f(x)=0f(x)=0 have?" options=["11","22","33","44"] answer="C" hint="Track the graph from left to right using end behaviour and the extreme values." solution="Since f(x)+f(x)\to +\infty as x±x\to \pm\infty, the graph is high on both ends. The local maximum is 4>04>0 and the local minimum is 1<0-1<0. So while moving from left to right, the graph must:
    • cross the xx-axis once before reaching the positive local maximum,
    • cross once while descending from positive values to the negative minimum,
    • cross once again while rising from negative values to positive values on the right.
    Hence the equation f(x)=0f(x)=0 has exactly 3\boxed{3} real roots. So the correct option is C\boxed{C}." ::: :::question type="NAT" question="The graph of y=f(x)y=f(x) intersects the line y=2y=2 at exactly three distinct points and the line y=2y=-2 at exactly two distinct points. How many real roots does the equation f(x)=2|f(x)|=2 have?" answer="5" hint="Split f(x)=2|f(x)|=2 into two equations." solution="We use the identity f(x)=2    f(x)=2 or f(x)=2\qquad |f(x)|=2 \iff f(x)=2 \text{ or } f(x)=-2 The graph intersects:
    • y=2y=2 at exactly 33 points
    • y=2y=-2 at exactly 22 points
    Therefore the total number of roots is 3+2=5\qquad 3+2=5 Hence the answer is 5\boxed{5}." ::: :::question type="MSQ" question="Which of the following statements are true?" options=["Roots of f(x)=0f(x)=0 are the intersection points of the graph of y=f(x)y=f(x) with the xx-axis","If a graph touches the xx-axis and turns back, that point is still a root","The number of roots of f(x)=kf(x)=k equals the number of intersections of y=f(x)y=f(x) with y=ky=k","A graph must cross the xx-axis at every root"] answer="A,B,C" hint="Focus on what a root means graphically." solution="1. True. That is exactly the graphical meaning of f(x)=0f(x)=0.
  • True. Touching the axis also means the function value is zero there.
  • True. Solving f(x)=kf(x)=k means counting intersections with the horizontal line y=ky=k.
  • False. A graph may only touch the axis, as in y=x2y=x^2 at x=0x=0.
  • Hence the correct statements are A,B,C\boxed{A,B,C}." ::: :::question type="SUB" question="A continuous function ff satisfies f(x)f(x)\to -\infty as xx\to -\infty, f(x)+f(x)\to +\infty as x+x\to +\infty, has local maximum value 55, and local minimum value 1-1. Determine the number of real roots of the equation f(x)=2f(x)=2." answer="3" hint="Compare the line y=2y=2 with the local maximum and local minimum." solution="We count intersections of the graph of y=f(x)y=f(x) with the horizontal line y=2y=2. Given:
    • left end goes to -\infty
    • right end goes to ++\infty
    • local maximum is 55, which is above 22
    • local minimum is 1-1, which is below 22
    So:
  • As the graph rises from -\infty to the local maximum 55, it must cross y=2y=2 once.
  • As it falls from 55 to 1-1, it must cross y=2y=2 once again.
  • As it rises from 1-1 to ++\infty, it must cross y=2y=2 once more.
  • Therefore the equation f(x)=2f(x)=2 has exactly 3\boxed{3} real roots." ::: ---

    Summary

    Key Takeaways for CMI

    • Roots are counted by graph intersections.

    • f(x)=0f(x)=0 means intersection with the xx-axis.

    • f(x)=kf(x)=k means intersection with the line y=ky=k.

    • Touching the axis also gives a root.

    • Continuity, extrema, and end behaviour are the main tools for counting roots.

    • Absolute value equations usually split into two graph-counting problems.

    ---

    💡 Next Up

    Proceeding to Combined algebra-calculus problems.

    ---

    Part 4: Combined algebra-calculus problems

    Combined Algebra-Calculus Problems

    Overview

    This topic is not a single formula topic. It is a reasoning topic where algebraic structure controls calculus behaviour. In CMI-style problems, you are often asked to combine several ideas at once:
    • domain restrictions from logarithms, roots, or denominators
    • slope analysis using derivatives or the Fundamental Theorem of Calculus
    • asymptotic growth comparisons such as lnx\ln x versus powers
    • tangency interpreted through repeated roots
    • inverse functions mixed with differentiation
    • continuous functional equations such as f(x2)=f(x)2f(x^2)=f(x)^2
    • parity and symmetry inside definite integrals
    So the correct mindset is: simplify the algebra first, then apply the calculus cleanly. ---

    Learning Objectives

    By the End of This Topic

    After studying this topic, you will be able to:

    • Find domains of composite expressions before doing any calculus.

    • Use the Fundamental Theorem of Calculus to study slope and monotonicity of integral-defined functions.

    • Compare growth rates of logarithmic, polynomial, and exponential expressions.

    • Translate tangency into repeated-root conditions.

    • Use inverse-function ideas together with derivatives.

    • Handle continuous functional equations with iteration and continuity.

    • Use parity to simplify definite integrals quickly.

    ---

    Lens 1: Domain Before Calculus

    📖 Always Build the Domain First

    If a function is given by a complicated formula, especially with logarithms or roots, do not differentiate or integrate immediately. First determine where the expression is defined.

    Typical rules:

      • logA(x)\log A(x) requires A(x)>0A(x)>0

      • log(logA(x))\log(\log A(x)) requires logA(x)>0\log A(x)>0, hence A(x)>1A(x)>1

      • A(x)\sqrt{A(x)} requires A(x)0A(x)\ge 0 in real numbers
          • 1A(x)\dfrac{1}{A(x)} requires A(x)0A(x)\ne 0

    📐 Key Composite Rule

    For
    H(x)=log(logA(x))\qquad H(x)=\log(\log A(x))

    the real domain is given by
    A(x)>1\qquad A(x)>1
    not merely A(x)>0A(x)>0.

    💡 CMI Strategy

    When a function is defined by
    g(x)=axΦ(t)dt\qquad g(x)=\int_a^x \Phi(t)\,dt,
    the domain of gg is determined by the domain of Φ(t)\Phi(t) over the full interval between aa and xx, not just at the endpoint.

    ---

    Lens 2: Integral-Defined Functions and Slope

    📐 Fundamental Theorem of Calculus

    If
    g(x)=axh(t)dt\qquad g(x)=\int_a^x h(t)\,dt
    and hh is continuous, then
    g(x)=h(x)\qquad g'(x)=h(x)

    This is one of the most important bridges between algebra and calculus. If a problem asks where g(x)g(x) has:
    • maximum slope, maximize g(x)=h(x)g'(x)=h(x)
    • minimum slope, minimize g(x)=h(x)g'(x)=h(x)
    So the slope question becomes an algebraic/extremum question about the integrand.
    Interpretation

    For integral-defined functions:

      • domain comes from the integrand

      • slope comes from the integrand

      • monotonicity comes from the sign of the integrand

      • concavity comes from derivative of the integrand

    ---

    Lens 3: Growth Comparison

    📐 Growth Hierarchy

    As xx\to\infty,
    lnxxabx\qquad \ln x \ll x^a \ll b^x
    for every a>0a>0 and every b>1b>1

    That means:
    • lnxxa0\dfrac{\ln x}{x^a}\to 0
    • xabx0\dfrac{x^a}{b^x}\to 0
    • lnx1/xn=xnlnx\dfrac{\ln x}{1/x^n} = x^n \ln x \to \infty
    ⚠️ Very Common Trap

    Do not compare expressions only by appearance. For example,
    lnxx1/1000\qquad \dfrac{\ln x}{x^{1/100}} \to 0
    but
    lnx1/x100=x100lnx\qquad \dfrac{\ln x}{1/x^{100}} = x^{100}\ln x \to \infty
    So the second expression is vastly larger.

    ---

    Lens 4: Tangency and Repeated Roots

    📖 Tangency via Algebra

    A line y=mx+cy=mx+c is tangent to the curve y=p(x)y=p(x) at x=ax=a if:

      • they meet at x=ax=a

      • they have equal slope at x=ax=a


    Equivalently, the polynomial
    p(x)mxc\qquad p(x)-mx-c
    has a repeated root at x=ax=a.

    📐 Repeated-Root Principle

    If a line is tangent to a polynomial at kk distinct points, then
    p(x)mxc\qquad p(x)-mx-c
    has at least 2k2k roots counting multiplicity.

    Hence,
    degp2k\qquad \deg p \ge 2k

    This is the cleanest way to decide whether a single line can be tangent at many points.
    💡 Construction Trick

    If you want one line tangent at many points, the easiest construction is often
    p(x)=L(x)+i=1k(xai)2\qquad p(x)=L(x)+\prod_{i=1}^k (x-a_i)^2
    where L(x)L(x) is the chosen line.
    Then y=L(x)y=L(x) is tangent at each x=aix=a_i.

    ---

    Lens 5: Inverse Functions and Derivatives

    📐 Derivative of Inverse

    If ff is invertible and differentiable with f(x)0f'(x)\ne0, then
    (f1)(y)=1f(f1(y))\qquad (f^{-1})'(y)=\dfrac{1}{f'(f^{-1}(y))}

    If a problem imposes a relation such as f(x)=f1(x)\qquad f'(x)=f^{-1}(x), then algebra and calculus are tied together very tightly.
    Power-Form Testing

    If you test
    f(x)=axb(a>0)\qquad f(x)=ax^b \quad (a>0)
    on R+\mathbb{R}_+, then
    f(x)=abxb1\qquad f'(x)=abx^{b-1}
    and
    f1(x)=(xa)1/b\qquad f^{-1}(x)=\left(\dfrac{x}{a}\right)^{1/b}

    Matching the exponents gives
    b1=1b\qquad b-1=\dfrac{1}{b}
    so
    b2b1=0\qquad b^2-b-1=0

    This shows how trial families reduce a hard functional-differential problem to algebra. ---

    Lens 6: Functional Equations with Continuity

    📖 The Equation f(x2)=f(x)2f(x^2)=f(x)^2

    A function satisfying
    f(x2)=f(x)2\qquad f(x^2)=f(x)^2
    links the value at x2x^2 to the value at xx.

    By iteration,
    f(x2n)=f(x)2n\qquad f(x^{2^n}) = f(x)^{2^n}

    This is extremely useful when combined with continuity. For example, on [0,1][0,1], x2n0\qquad x^{2^n}\to 0 So if ff is continuous, f(x)2n=f(x2n)f(0)\qquad f(x)^{2^n} = f(x^{2^n}) \to f(0) This often forces very strong restrictions on ff.
    📐 Standard Family of Solutions

    For any real rr,
    f(x)=xr\qquad f(x)=x^r
    satisfies
    f(x2)=f(x)2\qquad f(x^2)=f(x)^2
    because
    (x2)r=x2r=(xr)2\qquad (x^2)^r = x^{2r} = (x^r)^2

    ---

    Lens 7: Parity and Symmetry

    📐 Parity Rules
      • even ×\times even = even
      • odd ×\times odd = even
      • even ×\times odd = odd
    For definite integrals on symmetric intervals:
      • if FF is odd, then
    aaF(x)dx=0\qquad \int_{-a}^{a} F(x)\,dx = 0
      • if FF is even, then
    aaF(x)dx=20aF(x)dx\qquad \int_{-a}^{a} F(x)\,dx = 2\int_0^a F(x)\,dx
    Since
    • cos(nx)\cos(nx) is even
    • sin(nx)\sin(nx) is odd
    we get quick conclusions such as:
    • x2023cos(nx)x^{2023}\cos(nx) is odd
    • x4sinxx^4\sin x is odd
    So both integrate to 00 over [a,a][-a,a]. ---

    Minimal Worked Examples

    Example 1 Let g(x)=1xln(t2+1)dt\qquad g(x)=\int_1^x \ln(t^2+1)\,dt Then g(x)=ln(x2+1)\qquad g'(x)=\ln(x^2+1) On [1,3][1,3], since x2+1x^2+1 increases, ln(x2+1)\ln(x^2+1) also increases. Therefore the slope of gg is largest at x=3\boxed{x=3}. --- Example 2 Suppose a line is tangent to a polynomial at exactly 33 distinct points. Then the difference polynomial has at least 66 roots counting multiplicity. So the polynomial must have degree at least 6\boxed{6}. ---

    Common Patterns in This Topic

    📐 Recognize These Structures

    • Domain + integral:

    g(x)=axΦ(t)dt\qquad g(x)=\int_a^x \Phi(t)\,dt

    • Slope/extremum of an integral-defined function:

    g(x)=Φ(x)\qquad g'(x)=\Phi(x)

    • Asymptotic comparison:

    lnx, xα, ex\qquad \ln x,\ x^\alpha,\ e^x

    • Tangency:

    p(x)mxc\qquad p(x)-mx-c

    • Inverse-derivative relation:

    f(x)=f1(x)\qquad f'(x)=f^{-1}(x)

    • Functional equation:

    f(x2)=f(x)2\qquad f(x^2)=f(x)^2

    • Symmetric integral:

    aaF(x)dx\qquad \int_{-a}^{a} F(x)\,dx

    ---

    Common Mistakes

    ⚠️ Avoid These Errors
      • ❌ Checking only logA(x)>0\log A(x)>0 for log(logA(x))\log(\log A(x))
    ✅ Need A(x)>1A(x)>1
      • ❌ Treating g(x)=axh(t)dtg(x)=\int_a^x h(t)\,dt like an arbitrary function
    ✅ Use g(x)=h(x)g'(x)=h(x) immediately
      • ❌ Forgetting positivity after substitution like t=axt=a^x
    ✅ Always note t>0t>0
      • ❌ Confusing intersection with tangency
    ✅ Tangency means repeated contact, not just common point
      • ❌ Ignoring continuity in functional equations
    ✅ Iteration plus continuity is often the whole proof
      • ❌ Missing symmetry in integrals
    ✅ Check parity before calculating
    ---

    CMI Strategy

    💡 How to Solve Combined Problems

    • Simplify the algebraic structure first.

    • Build the domain before differentiating or integrating.

    • Convert integral-defined slope questions into questions about the integrand.

    • Use repeated-root thinking for tangency.

    • Compare growth using the hierarchy lnxxabx\ln x \ll x^a \ll b^x.

    • In functional equations, iterate and then use continuity.

    • On symmetric intervals, test parity before doing any computation.

    ---

    Practice Questions

    :::question type="MCQ" question="If g(x)=0xln(t2+1)dtg(x)=\int_0^x \ln(t^2+1)\,dt, then on [0,2][0,2] the maximum slope of gg occurs at" options=["00","11","22","No maximum exists"] answer="C" hint="Use g(x)g'(x)." solution="By the Fundamental Theorem of Calculus, g(x)=ln(x2+1)\qquad g'(x)=\ln(x^2+1). Since x2+1x^2+1 increases on [0,2][0,2], ln(x2+1)\ln(x^2+1) also increases. Therefore the maximum slope occurs at 2\boxed{2}, so the correct option is C\boxed{C}." ::: :::question type="NAT" question="Find the smallest possible degree of a polynomial that admits one line tangent to its graph at exactly 44 distinct real points." answer="8" hint="Use repeated roots." solution="If one line is tangent at exactly 44 distinct real points, then the difference between the polynomial and the line has at least 24=82\cdot 4=8 roots counting multiplicity. Hence the degree must be at least 88. This bound is achievable by taking p(x)=L(x)+i=14(xai)2\qquad p(x)=L(x)+\prod_{i=1}^4 (x-a_i)^2. So the smallest possible degree is 8\boxed{8}." ::: :::question type="MSQ" question="Which of the following statements are true?" options=["lnxx1/100\dfrac{\ln x}{x^{1/10}}\to 0 as xx\to\infty","x10ex0\dfrac{x^{10}}{e^x}\to 0 as xx\to\infty","If F(x)F(x) is odd, then aaF(x)dx=0\int_{-a}^{a}F(x)\,dx=0","If f(x2)=f(x)2f(x^2)=f(x)^2, then necessarily f(x)=x2f(x)=x^2"] answer="A,B,C" hint="Use growth hierarchy and parity." solution="1. True, because logarithms grow slower than positive powers.
  • True, because exponentials dominate polynomials.
  • True, by symmetry of odd functions on [a,a][-a,a].
  • False. Many functions satisfy the equation, for example f(x)=xrf(x)=x^r for any real rr, and also the zero function on suitable domains.
  • Hence the correct answer is A,B,C\boxed{A,B,C}." ::: :::question type="SUB" question="Suppose f(x)=axbf(x)=ax^b on R+\mathbb{R}_+. Find the equation that bb must satisfy if f(x)=f1(x)f'(x)=f^{-1}(x) for all x>0x>0." answer="b2b1=0b^2-b-1=0" hint="Match exponents of xx on both sides." solution="We have f(x)=axb\qquad f(x)=ax^b so f(x)=abxb1\qquad f'(x)=abx^{b-1} Also, f1(x)=(xa)1/b=a1/bx1/b\qquad f^{-1}(x)=\left(\dfrac{x}{a}\right)^{1/b}=a^{-1/b}x^{1/b} If f(x)=f1(x)f'(x)=f^{-1}(x) for all x>0x>0, then the exponents of xx must match: b1=1b\qquad b-1=\dfrac{1}{b} Multiplying by bb, b2b1=0\qquad b^2-b-1=0 So the required equation is b2b1=0\boxed{b^2-b-1=0}." ::: ---

    Summary

    Key Takeaways for CMI

    • In combined problems, algebraic structure usually determines the calculus behaviour.

    • For g(x)=axh(t)dtg(x)=\int_a^x h(t)\,dt, the slope is g(x)=h(x)g'(x)=h(x).

    • Tangency to a polynomial is best handled through repeated roots.

    • Continuity plus iteration is a powerful tool in functional equations.

    • Use lnxxabx\ln x \ll x^a \ll b^x for asymptotic comparisons.

    • Symmetry can collapse many definite integrals immediately.

    • Domain checking is never optional in composite expressions.

    Chapter Summary

    Function behaviour — Key Points

    • Monotonicity Analysis: The sign of the first derivative, f(x)f'(x), determines the intervals where a function f(x)f(x) is increasing or decreasing. Critical points occur where f(x)=0f'(x)=0 or f(x)f'(x) is undefined.

    • Extrema Identification: Local maxima and minima correspond to sign changes in f(x)f'(x) (First Derivative Test) or specific signs of f(x)f''(x) at critical points (Second Derivative Test).

    • Concavity and Inflection Points: The sign of the second derivative, f(x)f''(x), indicates the concavity of the function. Inflection points occur where f(x)f''(x) changes sign.

    • Comprehensive Graph Sketching: A complete graph sketch integrates information from intercepts, asymptotes (vertical, horizontal, slant), monotonicity, local extrema, concavity, and inflection points.

    • Root Counting with Calculus: The number of distinct real roots of an equation f(x)=0f(x)=0 can often be determined by analysing the function's monotonicity, local extrema, and limits, providing a graphical understanding of its behaviour.

    • Algebra-Calculus Synthesis: Many problems require a synthesis of algebraic manipulation with calculus concepts, particularly in optimisation, curve sketching, and the analysis of complex function behaviours.

    Chapter Review Questions

    :::question type="MCQ" question="For the function f(x)=x36x2+9x+1f(x) = x^3 - 6x^2 + 9x + 1, which of the following statements is true?" options=["f(x)f(x) is increasing on (1,3)(1, 3).", "f(x)f(x) has a local minimum at x=1x=1.", "f(x)f(x) has a local maximum at x=1x=1.", "f(x)f(x) is decreasing on (,1)(3,)(-\infty, 1) \cup (3, \infty)."] answer="f(x)f(x) has a local maximum at x=1x=1." hint="Compute the first derivative f(x)f'(x) and analyse its sign changes." solution="The first derivative is f(x)=3x212x+9=3(x24x+3)=3(x1)(x3)f'(x) = 3x^2 - 12x + 9 = 3(x^2 - 4x + 3) = 3(x-1)(x-3).
    Critical points are at x=1x=1 and x=3x=3.

    • For x<1x < 1, f(x)>0f'(x) > 0, so f(x)f(x) is increasing.

    • For 1<x<31 < x < 3, f(x)<0f'(x) < 0, so f(x)f(x) is decreasing.

    • For x>3x > 3, f(x)>0f'(x) > 0, so f(x)f(x) is increasing.

    Since f(x)f'(x) changes from positive to negative at x=1x=1, there is a local maximum at x=1x=1.
    Since f(x)f'(x) changes from negative to positive at x=3x=3, there is a local minimum at x=3x=3.
    Therefore, the statement 'f(x)f(x) has a local maximum at x=1x=1' is true."
    :::

    :::question type="NAT" question="Determine the number of distinct real roots for the equation x33x2+6=0x^3 - 3x^2 + 6 = 0." answer="1" hint="Define f(x)=x33x2+6f(x) = x^3 - 3x^2 + 6 and analyse its local extrema using the first derivative." solution="Let f(x)=x33x2+6f(x) = x^3 - 3x^2 + 6.
    Then f(x)=3x26x=3x(x2)f'(x) = 3x^2 - 6x = 3x(x-2).
    Setting f(x)=0f'(x)=0 gives critical points at x=0x=0 and x=2x=2.
    Evaluate f(x)f(x) at these critical points:

    • f(0)=(0)33(0)2+6=6f(0) = (0)^3 - 3(0)^2 + 6 = 6. This is a local maximum (since f(x)f'(x) changes from positive to negative at x=0x=0).

    • f(2)=(2)33(2)2+6=812+6=2f(2) = (2)^3 - 3(2)^2 + 6 = 8 - 12 + 6 = 2. This is a local minimum (since f(x)f'(x) changes from negative to positive at x=2x=2).

    Also, consider the limits:
    • As xx \to -\infty, f(x)f(x) \to -\infty.

    • As xx \to \infty, f(x)f(x) \to \infty.

    Sketching the graph: f(x)f(x) starts from -\infty, increases to a local maximum of 66 at x=0x=0, then decreases to a local minimum of 22 at x=2x=2, and then increases to \infty.
    Since the local maximum value (66) and the local minimum value (22) are both positive, the graph crosses the x-axis only once, for x<0x<0.
    Thus, there is only 1 distinct real root."
    :::

    :::question type="MCQ" question="For the function g(x)=x44x3g(x) = x^4 - 4x^3, which of the following describes its inflection points?" options=["Only at x=0x=0.", "Only at x=2x=2.", "At x=0x=0 and x=2x=2.", "There are no inflection points."] answer="At x=0x=0 and x=2x=2." hint="Compute the second derivative g(x)g''(x) and identify points where its sign changes." solution="The first derivative is g(x)=4x312x2g'(x) = 4x^3 - 12x^2.
    The second derivative is g(x)=12x224x=12x(x2)g''(x) = 12x^2 - 24x = 12x(x-2).
    Setting g(x)=0g''(x)=0 gives potential inflection points at x=0x=0 and x=2x=2.
    Now, we check the sign of g(x)g''(x) around these points:

    • For x<0x < 0, g(x)=12x(x2)=(negative)(negative)>0g''(x) = 12x(x-2) = (negative)(negative) > 0 (concave up).

    • For 0<x<20 < x < 2, g(x)=12x(x2)=(positive)(negative)<0g''(x) = 12x(x-2) = (positive)(negative) < 0 (concave down).

    • For x>2x > 2, g(x)=12x(x2)=(positive)(positive)>0g''(x) = 12x(x-2) = (positive)(positive) > 0 (concave up).

    Since g(x)g''(x) changes sign at both x=0x=0 and x=2x=2, both are inflection points.
    Therefore, the statement 'At x=0x=0 and x=2x=2' is true."
    :::

    :::question type="NAT" question="For the function f(x)=x2x1f(x) = \frac{x^2}{x-1}, what is the value of its local maximum?" answer="0" hint="Calculate f(x)f'(x) and find the critical points. Then apply the First Derivative Test or Second Derivative Test to classify them." solution="To find local extrema, we first compute the first derivative:

    f(x)=ddx(x2x1)=2x(x1)x2(1)(x1)2=2x22xx2(x1)2=x22x(x1)2=x(x2)(x1)2f'(x) = \frac{\operatorname{d}}{\operatorname{d}x} \left( \frac{x^2}{x-1} \right) = \frac{2x(x-1) - x^2(1)}{(x-1)^2} = \frac{2x^2 - 2x - x^2}{(x-1)^2} = \frac{x^2 - 2x}{(x-1)^2} = \frac{x(x-2)}{(x-1)^2}

    Setting f(x)=0f'(x)=0 gives x(x2)=0x(x-2)=0, so critical points are at x=0x=0 and x=2x=2. Note that x=1x=1 is a vertical asymptote and not in the domain of f(x)f(x).
    Now, we analyse the sign of f(x)f'(x) around the critical points:
    • For x<0x < 0, f(x)=()()(+)>0f'(x) = \frac{(-)( -)}{(+)} > 0, so f(x)f(x) is increasing.

    • For 0<x<10 < x < 1, f(x)=(+)()(+)<0f'(x) = \frac{(+)( -)}{(+)} < 0, so f(x)f(x) is decreasing.

    • For 1<x<21 < x < 2, f(x)=(+)()(+)<0f'(x) = \frac{(+)( -)}{(+)} < 0, so f(x)f(x) is decreasing.

    • For x>2x > 2, f(x)=(+)(+)(+)>0f'(x) = \frac{(+)( +)}{(+)} > 0, so f(x)f(x) is increasing.

    At x=0x=0, f(x)f'(x) changes from positive to negative, indicating a local maximum.
    The value of the function at x=0x=0 is f(0)=0201=0f(0) = \frac{0^2}{0-1} = 0.
    At x=2x=2, f(x)f'(x) changes from negative to positive, indicating a local minimum.
    The value of the function at x=2x=2 is f(2)=2221=41=4f(2) = \frac{2^2}{2-1} = \frac{4}{1} = 4.
    The local maximum value is 0."
    :::

    What's Next?

    💡 Continue Your CMI Journey

    This chapter laid the foundational understanding of how derivatives reveal a function's inherent behaviour. This knowledge is crucial for advanced applications such as optimisation problems, motion analysis, and the study of differential equations. You will further build on these concepts in chapters on 'Applications of Derivatives' and 'Introduction to Integration', where the inverse relationship between function behaviour and accumulated change is explored.

    🎯 Key Points to Remember

    • Master the core concepts in Function behaviour before moving to advanced topics
    • Practice with previous year questions to understand exam patterns
    • Review short notes regularly for quick revision before exams

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