Topic 1.4 · CED: Polynomial Functions and Rates of Change
Extrema and Rates of Change
12 MIN READ13 IDEAS24 PROBLEMS3 flashcards
Read this first
30 sec
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A polynomial is a finite sum of terms where every exponent is a whole number () and every coefficient is a real number.
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The degree is the largest exponent that has a non-zero coefficient.
The leading coefficient is the number multiplying that highest-power term.
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Degree of a product sum of the degrees.
Leading coefficient of a product product of the leading coefficients.
What Counts as a Polynomial
Every rule in this topic is a rule about polynomials, so it is worth being exact about what one is.
KEY RULE
A polynomial is a finite sum of terms where every exponent is a whole number () and every coefficient is a real number.
CONCEPT
What Is NOT a Polynomial
— the exponent is not a whole number.
— the exponent is negative.
— the variable is in the exponent, not the base.
— absolute value is not a power of .
Degree and Leading Coefficient
KEY RULE
The DEGREE is the largest exponent that has a non-zero coefficient.
The LEADING COEFFICIENT is the number multiplying that highest-power term.
Write the polynomial in descending order first and both are easy to read.
Worked example
Give the degree and leading coefficient of .
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Put the terms in descending order of exponent:
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The largest exponent is , so the degree is .
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The number in front of is , so the leading coefficient is .
COMMON MISTAKE
Reading the degree off the term written first. In the first term is the constant — the degree is still .
Forgetting the sign of the leading coefficient. It is , not , and that sign decides the end behavior.
Products of Polynomials
KEY RULE
Degree of a product sum of the degrees.
Leading coefficient of a product product of the leading coefficients.
So has degree and leading coefficient — no expansion needed. Topic 1.6 uses this constantly.
Quick check
What are the degree and leading coefficient of ?
What Is a Local Maximum?
A local maximum is a point where the function is increasing right before it, and decreasing right after it — like the top of a hill.
CONCEPT
Vocabulary Note
"Local max" and "relative max" mean the EXACT SAME THING. You'll see both terms used — textbooks and teachers switch between them freely.
The plural of "maximum" is "maxima" (so "local maxima" = more than one local max point).
Same pattern for minimum → minima.
The function increases, peaks, then decreases — that peak is the local max.
What Is a Local Minimum?
A local minimum is the mirror idea — a point where the function is decreasing right before it, and increasing right after it — like the bottom of a valley.
The function decreases, bottoms out, then increases — that valley is the local min.
KEY RULE
Local max: increasing → decreasing. Local min: decreasing → increasing.
Global (Absolute) Extrema
A function can have several local maxima and local minima. Among all of them, the single tallest local max is called the global (absolute) maximum, and the single lowest local min is called the global (absolute) minimum.
CONCEPT
Definition
The global (absolute) maximum is the highest output the function reaches anywhere in its domain — the tallest of its local peaks.
The global (absolute) minimum is the lowest output it reaches anywhere — the deepest of its local valleys.
A function can have one, both, or neither (if it rises or falls without bound).
Four local extrema total — but only the tallest peak and lowest valley are 'absolute'.
COMMON MISTAKE
Every absolute max/min IS a local max/min — but not every local max/min is absolute.
A function is not required to have an absolute max or min — if the graph goes to infinity in some direction, that extreme may not exist (see Section 5).
Endpoints Can Be Extrema Too
If a function's domain has a restricted (included) endpoint — shown on a graph as a closed/filled dot — that endpoint can itself be a local extremum, even though the curve doesn't turn around there in the usual increasing/decreasing sense.
CONCEPT
Reading Graph Symbols
Closed (filled) dot → that point IS included in the domain — it can be an extremum.
Open circle → that point is NOT included — a value gets arbitrarily close but never reaches it.
Arrow → the graph keeps going forever in that direction (unbounded).
Step-by-Step: Reading Extrema from a Graph
Worked example
For on the domain , find the absolute min, absolute max, and all local extrema.
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Scan for local extrema first: there's a local max at (value 2), and a local min at (value −2).
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Check the left end: is a CLOSED dot (included), with value . This is much lower than the local min of −2.
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Since is the lowest value anywhere on the graph, the ABSOLUTE MIN is at — it happens at the closed endpoint, not at the interior local min of .
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Check the right end: the arrow shows the graph increasing forever as . Since it never stops climbing, there is NO highest value.
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ABSOLUTE MAX = NONE (does not exist). Final answers — Absolute min: −18 at . Absolute max: NONE. Local max: 2 at . Local min: −2 at .
CONCEPT
Reading Strategy Checklist
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Find all local maxima and minima by looking for peaks and valleys.
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Check BOTH endpoints — if a dot is closed, evaluate the function there and compare to the local extrema.
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If an arrow shows the graph continuing to or forever, that absolute extremum does NOT exist — write NONE.
The Two-Zeros Rule
KEY RULE
If a polynomial has two zeros, there must be at least ONE extremum between them.
Between any two zeros of a polynomial, the graph must turn around at least once.
Why? To get from back to without immediately crossing the x-axis again, the function has to turn around somewhere in between — and that turning point is a local extremum.
Even Degree Polynomials Always Have an Absolute Extremum
Remember end behavior: even-degree polynomials have both ends pointing the same direction.
CONCEPT
The Rule
On the full domain (all real numbers):
Even degree + positive leading coefficient → both ends go UP → there IS an absolute minimum (but no absolute max).
Even degree + negative leading coefficient → both ends go DOWN → there IS an absolute maximum (but no absolute min).
Odd-degree polynomials never have an absolute max or min — the ends go in opposite directions, off to and .
Restrict the domain and this changes: on the odd-degree does have an absolute min, at the closed endpoint. Section 5 works that case.
Turning Points and Rate of Change
A cubic (degree 3) polynomial's rate of change can speed up and slow down, even reversing direction — this is exactly what creates local maxima and minima.
KEY RULE
Maximum turning points = degree − 1
A cubic (degree 3) can have up to 2 turning points; a quartic (degree 4) can have up to 3.
Quick check
A polynomial has degree . What is the greatest number of turning points its graph can have?
Step-by-Step: Detecting a Turning Point via Sign Change
Worked example
For , is increasing or decreasing near and near ?
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Near , check :
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Average rate of change:
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Negative → over this interval ends up lower than it started. (Careful: an average rate of change does not say what happens at every point in between — see 1.2.)
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Near , check :
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Average rate of change:
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Positive → over , ends up higher than it started. The sign flipped between the two intervals, so a turning point lies somewhere in . (It is at — the left endpoint of the second interval, not strictly between the two.)
COMMON MISTAKE
Don't confuse 'local' with 'absolute' — always check whether the question is asking for one specific peak/valley or the single tallest/lowest.
A closed endpoint can be an absolute extremum even if the function never 'turns around' there.
Odd-degree polynomials never have an absolute max or min ON THEIR FULL DOMAIN. If the domain is restricted, check the closed endpoints — one of them can be the absolute extremum.
Inflection Points and the Rate of Change
A turning point is where the function changes DIRECTION. An inflection point is where it changes the way it BENDS. They are different questions and the exam asks both.
KEY RULE
An INFLECTION POINT is where the graph switches between concave up and concave down.
At an inflection point the direction does NOT have to change — the function can keep rising the whole way through.
CONCEPT
What Happens to the Rate of Change There
Concave up means the rates of change are increasing. Concave down means they are decreasing.
So at an inflection point the rates stop increasing and start decreasing (or the reverse). The rate of change reaches a local maximum or a local minimum exactly there.
In plain words: an inflection point is where the function is growing at its fastest — or its slowest — even though it is still growing.
How Many Can There Be
KEY RULE
A polynomial of degree has at most turning points and at most inflection points.
A cubic () has at most turning points and at most inflection point. A quadratic () has at most turning point and NO inflection points at all — a parabola bends the same way forever.
Worked example
For , the graph is concave down on and concave up on . Where is the inflection point, and what is happening to the rate of change there?
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Concavity switches at , so the inflection point is at .
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Evaluate to get the full point: , so it is .
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Left of the graph is concave down, so the rates of change are decreasing there. Right of it is concave up, so they are increasing.
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The rates fall, then rise — so the rate of change hits its MINIMUM at . The function is descending at its steepest exactly at the inflection point.
COMMON MISTAKE
Calling every inflection point a turning point. At above, does not turn around — it is decreasing on both sides. Only the bending changes.
Looking for an inflection point on a parabola. There is never one.
Practice Problems
Worked example
Problem 1. For , determine whether is increasing or decreasing on .
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Evaluate:
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Average rate of change:
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Negative → over this interval ends up lower than it started. (An average rate of change is a net change, not a promise about every point in between.)
Worked example
Problem 2. A polynomial has degree 6 and a negative leading coefficient. Does it have an absolute max, absolute min, both, or neither?
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Degree 6 is even, so both ends point the same direction.
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Negative leading coefficient → both ends go DOWN → there is an ABSOLUTE MAX (no absolute min).
Common slips
Reading the degree off the term written first. In the first term is the constant — the degree is still .
Forgetting the sign of the leading coefficient. It is , not , and that sign decides the end behavior.
Every absolute max/min is a local max/min — but not every local max/min is absolute.
A function is not required to have an absolute max or min — if the graph goes to infinity in some direction, that extreme may not exist (see Section 5).
Don't confuse 'local' with 'absolute' — always check whether the question is asking for one specific peak/valley or the single tallest/lowest.
A closed endpoint can be an absolute extremum even if the function never 'turns around' there.
Odd-degree polynomials never have an absolute max or min on their full domain. If the domain is restricted, check the closed endpoints — one of them can be the absolute extremum.
Calling every inflection point a turning point. At above, does not turn around — it is decreasing on both sides. Only the bending changes.
Looking for an inflection point on a parabola. There is never one.
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3 cards · Rates of change
Recap card
6 lines to re-read the night before.
- 01
Local max (= relative max): increasing then decreasing. Local min (= relative min): decreasing then increasing.
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Absolute (global) extrema are the single tallest local max or single lowest local min — not every function has one.
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Check endpoints: a closed dot can be the absolute extremum, even without a turn-around.
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Two zeros guarantee at least one extremum between them.
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On the full domain: even-degree polynomials always have an absolute max or min (never both); odd-degree polynomials have neither. A restricted domain changes this — check the closed endpoints.
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Max turning points = degree − 1; a sign change in average rate of change signals a turning point nearby.