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 |---
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
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 .
- Prove that if a bounded increasing differentiable function has , then that limit must be .
- Construct differentiable bounded monotone functions with highly nontrivial derivative behaviour.
Core Definitions
Let be an interval.
- is weakly increasing on if
- is strictly increasing on if
- is weakly decreasing on if
- is strictly decreasing on if
A weakly increasing function can stay flat on an interval.
A strictly increasing function never repeats a value at two different points.
Derivative Tests
Suppose is differentiable on an interval .
- If for all , then is strictly increasing on .
- If for all , then is strictly decreasing on .
- If for all , then is weakly increasing on .
- If for all , then is weakly decreasing on .
If is differentiable and increasing on an interval, then
for every point of the interval.
If is differentiable and decreasing on an interval, then
for every point of the interval.
Mean Value Theorem Link
If is continuous on and differentiable on , then by the mean value theorem there exists such that
So:
- if everywhere, then
- if everywhere, then
Whenever you need to prove increasing-decreasing behaviour rigorously, think:
- sign of
- mean value theorem
- monotonicity consequences
Sign Chart Method
To determine increasing-decreasing intervals:
- Compute
- Solve and note points where is undefined
- Split the domain into intervals
- Check the sign of on each interval
- Positive means increasing, negative means decreasing
Important Subtleties
The condition at one point does not mean the function stops increasing.
Example:
For ,
and
but is still strictly increasing on all real numbers.
A differentiable strictly increasing function may have derivative at some points.
Example:
is strictly increasing on , but .
Bounded Monotone Functions
If is increasing and bounded above on , then exists and is finite.
If is decreasing and bounded below on , then exists and is finite.
More generally, a bounded monotone function has one-sided limits at the ends of its interval.
A Key PYQ-Type Result
Suppose:
- is differentiable
- is increasing
- is bounded
- exists
Then necessarily
Construction Ideas
The PYQs also test construction.
A powerful method is:
- First construct a continuous function with the derivative behaviour you want.
- Keep if you want the resulting function to be increasing.
- Make integrable if you want the resulting function to be bounded.
- Define
Then by the fundamental theorem of calculus.
Typical construction template
Take a continuous nonnegative “bump train” :- each bump has small area
- total area is finite
- bump heights do not settle to one limit
- , so is weakly increasing
- , so is bounded
- if oscillates forever without approaching a limit, then does not exist
Minimal Worked Example
Example Determine the increasing-decreasing behaviour of Differentiate: Now:- if , then
- if , then
- if , then
- increasing on and
- decreasing on
Root and Uniqueness Consequences
If is strictly increasing on an interval, then the equation
has at most one solution in that interval.
Similarly, if is strictly decreasing on an interval, then it also takes each value at most once there.
Common Patterns in Questions
- Find increasing and decreasing intervals from
- 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
- Construct examples where the function is monotone and bounded but the derivative behaves wildly
Common Mistakes
- ❌ Solving only and stopping
- ❌ Thinking means the function is not increasing there
- ❌ Forgetting that bounded monotone functions have tail limits
- ❌ Assuming derivative limits exist automatically for bounded monotone functions
- ❌ Building an “increasing bounded” example with non-integrable derivative
Practice Questions
:::question type="MCQ" question="Suppose is differentiable on and for all . Which statement must be true?" options=[" is strictly increasing"," is weakly increasing"," is bounded"," for all "] answer="B" hint="Use the mean value theorem." solution="If everywhere, then by the mean value theorem whenever . Hence is weakly increasing. Strict increase need not hold, because the function may be constant on some interval. Therefore the correct option is ." ::: :::question type="NAT" question="If is differentiable, increasing, bounded, and exists, then what must that limit be?" answer="0" hint="If the limit were positive, the function would eventually grow too fast." solution="Since is increasing and differentiable, we have , so the limit must satisfy . If , then for sufficiently large we would have . By the mean value theorem this would force to grow at least linearly on the tail, contradicting boundedness. Hence the only possible value is ." ::: :::question type="MSQ" question="Which of the following statements are true?" options=["A differentiable increasing function must satisfy everywhere","A strictly increasing differentiable function can have at some point","If on an interval, then is strictly increasing there","A bounded increasing differentiable function must satisfy "] 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.Summary
- 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 everywhere.
- Bounded monotone functions have one-sided limits at the ends of their intervals.
- If a bounded increasing differentiable function has , then that limit must be .
- Construction questions are often solved by integrating a carefully designed nonnegative continuous function.
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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
After studying this topic, you will be able to:
- Use to decide increasing and decreasing behaviour.
- Use 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 and .
Core Idea
A graph is usually built from the following layers:
- Basic domain and range information
- Intercepts and special values
- Sign of to know whether the graph rises or falls
- Sign of to know whether the graph bends up or down
- Asymptotic behaviour
- Symmetry and boundedness
Good graph intuition means converting analytic information into geometric behaviour.
First Derivative and Shape
If on an interval, then is increasing there.
If on an interval, then is decreasing there.
If , then is a stationary point. It may be:
- a local maximum
- a local minimum
- neither
Suppose .
- If changes from positive to negative at , then is a local maximum.
- If changes from negative to positive at , then is a local minimum.
- If there is no sign change, then need not be an extremum.
Second Derivative and Curvature
If on an interval, the graph is concave up there.
If on an interval, the graph is concave down there.
If changes sign at , then is an inflection point.
- Concave up means the graph bends upward like a cup.
- Concave down means the graph bends downward like an arch.
The Midpoint / Chord Intuition
If is concave down on an interval and all lie in that interval, then typically
If is concave up, then typically
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
At a point , the tangent line is
The derivative tells you the local slope. Near , the tangent line gives the simplest approximation to the graph.
Symmetry Clues
If for all , then is even and its graph is symmetric about the -axis.
If for all , then is odd and its graph is symmetric about the origin.
End Behaviour and Boundedness
To sketch a graph well, always ask:
- What happens as ?
- What happens as ?
- Is the function bounded above or below?
- Does it approach a horizontal or vertical asymptote?
- is bounded above by and below by
- has two branches and vertical/horizontal asymptotes
- decreases but stays positive and tends to as
A Key Example:
For
we have
so the graph is increasing on all real numbers.
Also,
So:
- for , , hence the graph is concave down
- for , , hence the graph is concave up
- at , concavity changes, so there is an inflection point
Minimal Worked Examples
Example 1 Suppose and on an interval. Then the graph is:- increasing
- concave down
- positive for
- negative for
- positive for
- local maximum at
- local minimum at
What Information Is Not Enough?
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
- ❌ Thinking always means maximum or minimum
- ❌ Thinking one common graph feature determines the whole shape
- ❌ Mixing up concave up and concave down
- ❌ Using only continuity when the question is really about curvature
CMI Strategy
- 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 .
- If the graph “touches and turns,” think about sign change in .
- If the graph “bends differently” on two sides, think about and inflection.
Practice Questions
:::question type="MCQ" question="If a differentiable function satisfies and 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 , the function is increasing. Since , the graph is concave down. Therefore the correct option is ." ::: :::question type="NAT" question="For , how many stationary points does the graph have?" answer="2" hint="Solve ." solution="We have So at Hence the graph has stationary points." ::: :::question type="MSQ" question="Which of the following statements about are true?" options=[" for all real "," for all "," has an inflection point at "," is unbounded above"] answer="A,B,C" hint="Differentiate once and twice." solution="For , for all real , so statement 1 is true. Also, which is negative for , so statement 2 is true. Since changes sign at , statement 3 is true. Finally, is bounded above by , so statement 4 is false. Hence the correct answer is ." ::: :::question type="SUB" question="Explain why a concave-down graph on an interval tends to satisfy 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, which gives . This is the required reason." ::: ---Summary
- controls increasing and decreasing behaviour.
- 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.
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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 -axis, and more general equations are counted by intersections of graphs. ---Learning Objectives
After studying this topic, you will be able to:
- Count the number of roots of from the graph of .
- Count the number of solutions of 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 and graphically.
Core Meaning of a Root
A real root of the equation is an -value where the graph of meets the -axis.
So:
- roots of = intersections of with
- roots of = intersections of with the horizontal line
- roots of = intersections of the graphs and
Main Graph Rules
- Number of roots of
= number of points where the graph of meets the -axis.
- Number of roots of
= number of intersections of with the line .
- Number of roots of
= number of intersections of the graphs and .
- Number of roots of for
= number of roots of plus number of roots of .
- Number of roots of
= number of roots of .
Crossing vs Touching
A graph can meet the -axis in two common ways:
- Crossing the axis
The sign of changes.
Example: positive to negative, or negative to positive.
- Touching the axis and turning back
The sign of 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.
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: has a root at , but the graph does not cross the axis there.
Role of Continuity
If is continuous on and
,
then there is at least one root in .
This is the graphical meaning of the Intermediate Value Principle: a continuous graph cannot jump across the -axis without meeting it.
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
To count roots of , draw or imagine the horizontal line
Then count how many times this line intersects the graph of .
End Behaviour + Turning Points
Suppose a graph is continuous and has a local maximum and a local minimum.
Then the number of roots of depends on where the horizontal line lies relative to those extreme values.
For example, if:
- local maximum
- local minimum
then:
- if or , the number of intersections may be smaller
- if , the line can cut the graph multiple times
- if or , tangency can occur
Standard Root-Counting Patterns
- If the graph is always above the -axis, then has no real root.
- If the graph meets the -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 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 and has a minimum below , then it usually has two roots of .
Symmetry and Absolute Value Tricks
- Roots of for
come from both:
-
-
- Roots of
correspond to the part of the graph lying between the lines and .
- Roots of
come from nonnegative roots of :
- if is a root of , then are roots of
- if is a root, it contributes only one root
Minimal Worked Examples
Example 1 A continuous graph has local maximum , local minimum , and tends to as . How many roots does have? Since the graph is:- high on the far left,
- goes above at the local maximum,
- below at the local minimum,
- high again on the far right,
CMI Strategy
- First decide which graph intersection the equation represents.
- For , think of the horizontal line .
- 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 has local maximum value , local minimum value , and satisfies as . How many real roots does the equation have?" options=["","","",""] answer="C" hint="Track the graph from left to right using end behaviour and the extreme values." solution="Since as , the graph is high on both ends. The local maximum is and the local minimum is . So while moving from left to right, the graph must:- cross the -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.
- at exactly points
- at exactly points
- left end goes to
- right end goes to
- local maximum is , which is above
- local minimum is , which is below
Summary
- Roots are counted by graph intersections.
- means intersection with the -axis.
- means intersection with the line .
- 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.
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Proceeding to Combined algebra-calculus problems.
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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 versus powers
- tangency interpreted through repeated roots
- inverse functions mixed with differentiation
- continuous functional equations such as
- parity and symmetry inside definite integrals
Learning Objectives
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
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:
- requires
- requires , hence
- requires in real numbers
- requires
For
the real domain is given by
not merely .
When a function is defined by
,
the domain of is determined by the domain of over the full interval between and , not just at the endpoint.
Lens 2: Integral-Defined Functions and Slope
If
and is continuous, then
- maximum slope, maximize
- minimum slope, minimize
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
As ,
for every and every
Do not compare expressions only by appearance. For example,
but
So the second expression is vastly larger.
Lens 4: Tangency and Repeated Roots
A line is tangent to the curve at if:
- they meet at
- they have equal slope at
Equivalently, the polynomial
has a repeated root at .
If a line is tangent to a polynomial at distinct points, then
has at least roots counting multiplicity.
Hence,
If you want one line tangent at many points, the easiest construction is often
where is the chosen line.
Then is tangent at each .
Lens 5: Inverse Functions and Derivatives
If is invertible and differentiable with , then
If you test
on , then
and
Matching the exponents gives
so
Lens 6: Functional Equations with Continuity
A function satisfying
links the value at to the value at .
By iteration,
For any real ,
satisfies
because
Lens 7: Parity and Symmetry
- even even = even
- odd odd = even
- even odd = odd
- if is odd, then
- if is even, then
- is even
- is odd
- is odd
- is odd
Minimal Worked Examples
Example 1 Let Then On , since increases, also increases. Therefore the slope of is largest at . --- Example 2 Suppose a line is tangent to a polynomial at exactly distinct points. Then the difference polynomial has at least roots counting multiplicity. So the polynomial must have degree at least . ---Common Patterns in This Topic
- Domain + integral:
- Slope/extremum of an integral-defined function:
- Asymptotic comparison:
- Tangency:
- Inverse-derivative relation:
- Functional equation:
- Symmetric integral:
Common Mistakes
- ❌ Checking only for
- ❌ Treating like an arbitrary function
- ❌ Forgetting positivity after substitution like
- ❌ Confusing intersection with tangency
- ❌ Ignoring continuity in functional equations
- ❌ Missing symmetry in integrals
CMI Strategy
- 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 .
- In functional equations, iterate and then use continuity.
- On symmetric intervals, test parity before doing any computation.
Practice Questions
:::question type="MCQ" question="If , then on the maximum slope of occurs at" options=["","","","No maximum exists"] answer="C" hint="Use ." solution="By the Fundamental Theorem of Calculus, . Since increases on , also increases. Therefore the maximum slope occurs at , so the correct option is ." ::: :::question type="NAT" question="Find the smallest possible degree of a polynomial that admits one line tangent to its graph at exactly distinct real points." answer="8" hint="Use repeated roots." solution="If one line is tangent at exactly distinct real points, then the difference between the polynomial and the line has at least roots counting multiplicity. Hence the degree must be at least . This bound is achievable by taking . So the smallest possible degree is ." ::: :::question type="MSQ" question="Which of the following statements are true?" options=[" as "," as ","If is odd, then ","If , then necessarily "] answer="A,B,C" hint="Use growth hierarchy and parity." solution="1. True, because logarithms grow slower than positive powers.Summary
- In combined problems, algebraic structure usually determines the calculus behaviour.
- For , the slope is .
- Tangency to a polynomial is best handled through repeated roots.
- Continuity plus iteration is a powerful tool in functional equations.
- Use for asymptotic comparisons.
- Symmetry can collapse many definite integrals immediately.
- Domain checking is never optional in composite expressions.
Chapter Summary
- Monotonicity Analysis: The sign of the first derivative, , determines the intervals where a function is increasing or decreasing. Critical points occur where or is undefined.
- Extrema Identification: Local maxima and minima correspond to sign changes in (First Derivative Test) or specific signs of at critical points (Second Derivative Test).
- Concavity and Inflection Points: The sign of the second derivative, , indicates the concavity of the function. Inflection points occur where 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 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 , which of the following statements is true?" options=[" is increasing on .", " has a local minimum at .", " has a local maximum at .", " is decreasing on ."] answer=" has a local maximum at ." hint="Compute the first derivative and analyse its sign changes." solution="The first derivative is .
Critical points are at and .
- For , , so is increasing.
- For , , so is decreasing.
- For , , so is increasing.
Since changes from negative to positive at , there is a local minimum at .
Therefore, the statement ' has a local maximum at ' is true."
:::
:::question type="NAT" question="Determine the number of distinct real roots for the equation ." answer="1" hint="Define and analyse its local extrema using the first derivative." solution="Let .
Then .
Setting gives critical points at and .
Evaluate at these critical points:
- . This is a local maximum (since changes from positive to negative at ).
- . This is a local minimum (since changes from negative to positive at ).
- As , .
- As , .
Since the local maximum value () and the local minimum value () are both positive, the graph crosses the x-axis only once, for .
Thus, there is only 1 distinct real root."
:::
:::question type="MCQ" question="For the function , which of the following describes its inflection points?" options=["Only at .", "Only at .", "At and .", "There are no inflection points."] answer="At and ." hint="Compute the second derivative and identify points where its sign changes." solution="The first derivative is .
The second derivative is .
Setting gives potential inflection points at and .
Now, we check the sign of around these points:
- For , (concave up).
- For , (concave down).
- For , (concave up).
Therefore, the statement 'At and ' is true."
:::
:::question type="NAT" question="For the function , what is the value of its local maximum?" answer="0" hint="Calculate 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:
Setting gives , so critical points are at and . Note that is a vertical asymptote and not in the domain of .
Now, we analyse the sign of around the critical points:
- For , , so is increasing.
- For , , so is decreasing.
- For , , so is decreasing.
- For , , so is increasing.
The value of the function at is .
At , changes from negative to positive, indicating a local minimum.
The value of the function at is .
The local maximum value is 0."
:::
What's Next?
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.