Week 4: Algebra of Polynomials, Division & Roots
3573 words
18 min read
2026-09-12T00:00:00.000Z
Visual companion
Python
Type and operator map
Python Week 1: the first filter for runtime behavior
View
Revision summary
What this note is really saying
Short form
Polynomial operations, long division, remainder and factor theorems, root multiplicity, turning points, and end behavior. # Mathematics I — Week 4: Algebra of Polynomials, Division & Roots IITM’s Week 4 covers **algebra of polynomials, addition/subtraction/multiplication/division, polynomial algorithms, graphs of po...

Mathematics I — Week 4: Algebra of Polynomials, Division & Roots
IITM’s Week 4 covers algebra of polynomials, addition/subtraction/multiplication/division, polynomial algorithms, graphs of polynomials, x-intercepts, multiplicities, and end behavior.
TL;DR
A polynomial is built from powers of x with nonnegative integer exponents:
with:
The important Week 4 ideas are:
- degree and coefficients
- polynomial addition/subtraction/multiplication
- long division / synthetic-division style reasoning
- factor theorem
- remainder theorem
- roots / zeros / x-intercepts
- multiplicity
- how multiplicity affects the graph
- leading coefficient
- end behavior from degree + sign of leading coefficient
1. What is a polynomial?
A polynomial in x has the form:
where:
- n is a nonnegative integer
- coefficients ai are usually real numbers
- an=0
Example:
This is a polynomial of degree:
2. What is not a polynomial?
These are not polynomials:
because:
has a negative exponent.
Also:
has a fractional exponent.
And:
has the variable in the exponent.
A polynomial requires exponents:
only.
3. Terms
Consider:
The terms are:
Each term is typically:
4. Coefficients
For:
the coefficients are:
Notice the missing x3 term has coefficient:
It is often useful to write:
That becomes important during polynomial division.
5. Degree
The degree is the highest exponent with a nonzero coefficient.
Example:
Then:
6. Leading term and leading coefficient
For:
the leading term is:
and the leading coefficient is:
These become extremely important for end behavior.
7. Constant polynomial
A nonzero constant:
has degree:
The zero polynomial:
is special; its degree is usually treated as undefined.
8. Evaluating a polynomial
Given:
find:
Substitute:
So:
This is basic, but it powers the remainder theorem later.
9. Equality of polynomials
Two polynomials are equal if corresponding coefficients match.
Suppose:
Then:
This is coefficient comparison.
10. Addition of polynomials
Add like powers.
Example:
and:
Then:
equals:
so:
11. Subtraction
Take care with signs.
for:
and:
gives:
Distribute the minus:
Therefore:
12. Degree under addition
Usually:
It can become smaller because leading terms may cancel.
Example:
Then:
Although each original polynomial had degree 3, their sum has degree 1.
13. Multiplication of polynomials
Multiply every term by every term.
Example:
gives:
so:
14. Multiplying a binomial and polynomial
Example:
Distribute:
so:
Combine:
15. Degree under multiplication
For nonzero polynomials:
Example:
If:
and:
then:
This is reliable because the leading terms multiply and cannot cancel.
16. Important algebraic identities
These save time constantly.
Also:
and:
These appear frequently during factorization.
17. Polynomial division
Polynomial division mirrors ordinary integer division.
For integers:
For polynomials:
where:
- P(x) = dividend
- D(x) = divisor
- Q(x) = quotient
- R(x) = remainder
and:
This is the division algorithm for polynomials.
18. Polynomial division algorithm
Formally:
For polynomials P(x) and nonzero D(x):
where:
or:
This is a major structural result.
19. Example: simple polynomial division
Divide:
by:
We already know:
Therefore:
and:
20. Long division example
Divide:
by:
First:
Multiply:
Subtract:
leaving:
Now:
Multiply:
Subtract:
So:
21. Why missing terms matter in division
Suppose:
is divided by something.
Write it as:
The zero placeholder prevents coefficient misalignment.
This is especially useful for synthetic-division style calculations.
22. Remainder theorem
When a polynomial P(x) is divided by:
the remainder is:
This is one of the highest-value results in Week 4.
23. Why remainder theorem works
Polynomial division gives:
Because the divisor has degree 1, the remainder must be constant.
Set:
Then:
so:
Thus:
24. Example: remainder theorem
Find the remainder when:
is divided by:
No long division needed.
Compute:
So:
Therefore remainder:
Sign trap in the divisor
If the divisor is:
rewrite it as:
Therefore use:
not:
Very common mistake.
26. Factor theorem
The factor theorem is a special case of the remainder theorem.
Why?
If:
the remainder on division by x−a is zero.
Therefore:
divides P(x) exactly.
27. Example: factor theorem
Let:
Check whether:
is a factor.
Calculate:
Therefore:
is a factor.
Similarly:
So:
is also a factor.
And:
Thus:
28. Root, zero and factor are connected
These three statements mean essentially the same thing:
And graphically:
is an x-intercept.
So:
This is one of the central conceptual connections of Week 4.
29. Fundamental structure of factored polynomials
If:
then each:
is a root.
The graph intersects or touches the x-axis at those values.
30. Multiplicity
Suppose:
Then:
is a root of multiplicity:
And:
is a root of multiplicity:
Multiplicity means:
how many times the same factor occurs.
31. Example
P(x)=(x−4)5.Then root:
has multiplicity:
32. Total multiplicity and degree
For a polynomial fully factored over a suitable number system, the sum of root multiplicities equals the polynomial's degree.
Example:
Total degree:
33. Odd multiplicity
If a root has odd multiplicity, the graph typically crosses the x-axis.
Example:
At:
the graph crosses through the axis.
For multiplicity 3,5,…, it often flattens more near the crossing.
34. Even multiplicity
If a root has even multiplicity, the graph touches the x-axis and turns around.
Example:
At:
the graph touches but does not cross.
Mental shortcut:
35. Why odd/even multiplicity behaves differently
Near a root r, consider:
If m is odd, changing from x<r to x>r changes the sign.
If m is even, the sign remains nonnegative locally.
So the graph:
- crosses if sign changes
- touches if sign does not change
This is a deeper reason, not just a memorized graph rule.
36. Example: graph behavior from factors
Consider:
Roots:
Multiplicities:
- −2: multiplicity 1 → crosses
- 1: multiplicity 2 → touches
- 4: multiplicity 3 → crosses, with flattening
This gives a huge amount of graph information before plotting anything.
37. Degree of that example
For:
degree:
So it is an even-degree polynomial.
38. Leading coefficient from factored form
If:
the leading coefficient is:
Why?
The highest-degree terms multiply:
So degree:
and leading coefficient:
39. End behavior
End behavior asks:
What happens to P(x) as x→+∞ and x→−∞?
The leading term controls this.
If:
then for very large ∣x∣:
So only two things matter:
- parity of degree n
- sign of leading coefficient an
40. Why lower-degree terms stop mattering
Consider:
For huge x:
grows much faster than:
Therefore:
dominates.
This is the dominant-term principle.
41. Even degree + positive leading coefficient
Example:
As:
As:
So both ends go up:
text↑ ↑ \ / \_________/
Rule:
42. Even degree + negative leading coefficient
Example:
Then both ends go downward:
Rule:
43. Odd degree + positive leading coefficient
Example:
Then:
and:
So:
text/ / ------/ / /
Rule:
44. Odd degree + negative leading coefficient
Example:
Then:
and:
Rule:
45. End-behavior master table
| Degree | Leading coefficient | Left end | Right end |
|---|---|---|---|
| even | positive | up | up |
| even | negative | down | down |
| odd | positive | down | up |
| odd | negative | up | down |
This is one of the most exam-useful tables in Week 4.
46. Compact intuition
Even degree
Both ends move in the same direction.
Odd degree
The ends move in opposite directions.
Then the leading coefficient tells you the right-end direction:
- positive → right end up
- negative → right end down
That is often easier than memorizing four separate cases.
47. Example: end behavior
Consider:
Degree:
odd.
Leading coefficient:
Therefore:
and:
No graphing required.
48. Graphing a polynomial systematically
Consider:
A useful workflow:
Step 1: degree
2+3=5Odd degree.
Step 2: leading coefficient
Positive.
So:
Step 3: roots
x=−1,2.Step 4: multiplicities
At:
multiplicity 2 → touches.
At:
multiplicity 3 → crosses.
Step 5: y-intercept
Set:
Then:
So the graph passes through:
You can now sketch the rough graph with surprisingly little computation.
49. Maximum number of roots
A polynomial of degree n can have at most:
real roots.
For example, a cubic can have at most 3 real roots.
A degree-5 polynomial can have at most 5 real roots.
50. Maximum number of turning points
A degree-n polynomial can have at most:
turning points.
Examples:
- degree 1: at most 0
- degree 2: at most 1
- degree 3: at most 2
- degree 4: at most 3
This gives useful graph sanity checks.
51. Important distinction: degree vs number of roots
A degree-4 polynomial does not need to have four distinct real roots.
Examples:
has no real roots.
has only one distinct real root:
but with multiplicity 4.
So:
degree gives the maximum possible number of distinct real roots, not a guarantee.
52. Polynomial sign analysis
Factored form can also tell where the function is positive or negative.
Example:
Roots divide the real line:
Test one value from each interval.
x=0
(−1)(−3)>0.x=2
(1)(−1)<0.x=4
(3)(1)>0.Therefore:
for:
or:
53. Multiplicity gives a shortcut for sign changes
At an odd-multiplicity root, sign changes.
At an even-multiplicity root, sign stays the same.
So when moving across roots from left to right:
- odd multiplicity → flip sign
- even multiplicity → preserve sign
Very useful for complex factorizations.
54. Example
P(x)=(x+2)2(x−1)3.At:
multiplicity 2 → no sign change.
At:
multiplicity 3 → sign changes.
This predicts graph crossing behavior and sign intervals simultaneously.
55. Remainder theorem with parameters
Suppose:
leaves remainder 6 when divided by:
By remainder theorem:
Thus:
so:
This kind of question is very common.
56. Factor theorem with parameters
Suppose:
and x−2 is a factor.
Then:
So:
Thus:
and:
Again: much faster than doing full division.
57. Finding remaining factors
Suppose:
and you know:
is a factor.
Divide by x−1:
Then factor:
Therefore:
58. Synthetic-division intuition
When dividing by:
full polynomial long division can be compressed into operations on coefficients.
For:
divide by:
Use coefficients:
With:
Procedure conceptually:
text1 -6 11 -6 ↓ bring 1 down multiply by 1 add repeat
The final coefficients become:
with remainder:
So quotient:
Even if IITM presents this differently, the underlying idea is just efficient division by a linear factor.
59. Polynomial interpolation intuition
A subtle but useful idea:
A degree-n polynomial is essentially determined by n+1 appropriate data points.
For example:
- degree 1 line → 2 points
- degree 2 quadratic → 3 points
- degree 3 cubic → 4 points
This builds on Week 2 and Week 3.
You do not need full interpolation machinery yet, but the pattern is useful.
60. How Week 3 generalizes into Week 4
For quadratics:
Week 3 studied:
- roots
- vertex
- intercepts
- direction of opening
Week 4 says:
What if degree is 3,4,5,…?
Then:
- roots still matter
- factors still matter
- intercepts still matter
- degree becomes central
- multiplicity becomes richer
- end behavior generalizes the "opens up/down" idea
So Week 4 is really quadratic graph reasoning generalized to all polynomials.
Common mistake: degree after simplification
Suppose:
You cannot say degree 4 just because x4 appears before simplification.
Simplify:
Therefore:
Common mistake: root sign
If a factor is:
the root is:
not:
Because:
Common mistake: multiplicity
If:
there are not five distinct roots.
There are two distinct roots:
with multiplicities:
Common mistake: even-degree graphs
"Even degree" does not automatically mean both ends up.
You must also check the leading coefficient.
Example:
has both ends down.
Common mistake: odd-degree graphs
Similarly, odd degree does not always mean left down/right up.
That is only when the leading coefficient is positive.
For:
the orientation reverses.
Common mistake: factors vs terms
In:
these are factors.
In:
the pieces:
are terms.
Do not mix the vocabulary.
Common mistake: remainder degree
If dividing by a quadratic:
with degree 2, the remainder may be linear:
It does not have to be constant.
General rule:
The remainder theorem gives a constant specifically because:
has degree 1.
68. High-value formula/concept sheet
General polynomial
P(x)=anxn+⋯+a0Division algorithm
P(x)=D(x)Q(x)+R(x)with:
Remainder theorem
Dividing by x−a:
Factor theorem
x−a∣P(x)⟺P(a)=0Root-factor-intercept link
P(a)=0⟺a root⟺x−a factor⟺(a,0) x-interceptEnd behavior
Determined by:
Multiplicity
odd⇒cross even⇒touch69. Exam workflow for a graph question
Given a polynomial:
I would inspect in this order:
text1. Simplify / factor if possible 2. Find degree 3. Find leading coefficient 4. Predict end behavior 5. Find roots 6. Note each multiplicity 7. Determine cross/touch behavior 8. Find y-intercept P(0) 9. Check overall sign/shape 10. Sanity-check turning points
This is much more reliable than trying to sketch directly.
70. What you should actually master
By the end of Week 4, you should be able to:
- Identify whether an expression is a polynomial.
- Find degree, leading term and leading coefficient.
- Add/subtract polynomials.
- Multiply polynomials.
- Perform or understand polynomial division.
- Use: P=DQ+R.
- Use the remainder theorem.
- Use the factor theorem.
- Convert between roots and factors.
- Find x-intercepts from factors.
- Identify root multiplicity.
- Predict cross/touch behavior.
- Infer end behavior from degree and leading coefficient.
- Use factored form to sketch a rough polynomial graph.
- Solve parameter questions using P(a)=0 or P(a)=R.
If those are comfortable, Week 4 is under control.
71. Weeks 1–4 conceptual progression
textWEEK 1 Sets → Relations → Functions ↓ WEEK 2 Coordinates → Straight Lines ↓ WEEK 3 Quadratic Functions ↓ WEEK 4 General Polynomial Functions
The course is gradually widening the class of functions you can understand geometrically and algebraically.
Quick Recall & Flashcards
Test your active recall before proceeding to practice problems. Format:
Question :: Answer.- Remainder Theorem for P(x) divided by x−c :: Remainder is P(c)
- Factor Theorem condition :: x−c is a factor of P(x) if and only if P(c)=0
- Behavior of graph at root with even multiplicity :: Touches x-axis and turns around (tangent)
- Behavior of graph at root with odd multiplicity :: Crosses the x-axis
- Maximum number of turning points for degree n polynomial :: n−1
- End behavior of polynomial is determined by :: The leading term anxn
Practice & Self-Check
Attempt these diagnostic questions to verify your operational understanding.
1
Question 1
What is the remainder when the polynomial P(x)=2x3−3x2+4x−5 is divided by x−2?
NAT
3 Unit Assessment
2
Question 2
If a polynomial has a root at x=3 with multiplicity 2, what does the graph do at x=3?
MCQ
3 Unit Assessment
A. Crosses the x-axis directly
B. Touches (is tangent to) the x-axis and turns around without crossing
C. Has a vertical asymptote
D. Has a jump discontinuity