Polynomials — Class 9 (CBSE)
If algebra is a language, polynomials are its sentences. Linear equations, quadratics, cubic curves, the orbits of satellites, signal processing, machine-learning loss functions — they all start as polynomial expressions. Master this chapter and Class 10's quadratics, Class 11's binomial theorem and Class 12's calculus become natural extensions.
1. The story — why a 'polynomial' deserves its own chapter
A merchant in 9th-century Baghdad tracks the cost of buying spice. Each kilogram costs an unknown number; let's call it . Five kilograms cost . A bag costs rupees. Five kilograms in a bag cost .
That little expression — — is a polynomial. Add another variable cost, say transportation of (it grows quadratically with the distance, ignore why), and the total becomes .
The word polynomial comes from Greek poly (many) + Latin nominalis (name/term) — literally "many-named expression." Each piece like or is a term. The chapter is about how to operate on these expressions: add, multiply, factorise, and find their "roots" (the input values that make the polynomial equal to zero).
You'll learn techniques here that the same merchant could have used 1200 years ago — and that the engineer building India's Chandrayaan mission uses today.
2. The big picture — three things to take away
- Every polynomial has a "shape" determined by its degree. Degree 1 = straight line. Degree 2 = parabola. Degree 3 = cubic curve. Higher degrees get wavier.
- Zeros of a polynomial are the heart of algebra. They're the inputs that make the output zero — and they tell you everything geometrically (where the curve crosses the x-axis) and physically (when something happens, equilibrium points, etc.).
- Factorisation = decomposition. Just like 12 = 2 × 2 × 3, a polynomial like factorises to . The factors give you the zeros for free.
3. What exactly is a polynomial?
A polynomial in one variable is an expression of the form
where:
- are real-number coefficients,
- (so the highest-power term actually appears),
- is a non-negative integer (so no , no , no ).
Examples — all polynomials:
- (constant — degree 0)
- (linear — degree 1)
- (quadratic — degree 2)
- (cubic — degree 3)
- (quartic — degree 4)
Non-examples — NOT polynomials:
- (fractional power)
- (negative power: )
- (square root of variable)
- (trigonometric, not polynomial)
Tester's rule. If, after expansion, every term is a constant times for non-negative integer , it's a polynomial.
4. Terminology — the four labels you'll see in every exam
For the polynomial :
| Label | Meaning | This example |
|---|---|---|
| Term | Each individual piece separated by + / − | , , , |
| Coefficient | The numerical multiplier of each term | |
| Degree | Highest power of present | |
| Constant term | The term with no | |
| Leading coeff. | Coefficient of the highest-power term |
A polynomial is named by its degree:
- Degree 0 → constant polynomial (e.g. ).
- Degree 1 → linear polynomial (e.g. ).
- Degree 2 → quadratic polynomial (e.g. ).
- Degree 3 → cubic polynomial (e.g. ).
- Degree 4 → quartic (also called biquadratic if no or terms).
- Degree → polynomial of degree .
Watch this special case. The polynomial is called the zero polynomial. Its degree is undefined (some books say ). Don't confuse it with the constant polynomial , whose degree is .
5. Polynomials in more than one variable (a brief preview)
You can also have polynomials in two or more variables: . The degree of such a polynomial is the highest sum of exponents in any single term. For , the sum is ; for , it's ; for , it's . So the degree is .
Class 9 focuses on one-variable polynomials. Multi-variable polynomials come back in Class 10 (algebra of expressions) and Class 11 (binomial theorem).
6. Value and zero of a polynomial
The value of at is just what you get by substituting for and simplifying. We write it as .
Worked example. Find if .
.
A zero (or root) of is a value such that .
Worked example. Is a zero of ?
. Yes.
Why zeros matter. If you plot , the zeros are exactly the x-coordinates where the curve crosses the x-axis. Geometrically, zeros are where the polynomial vanishes.
Key fact (proved in Class 10): A polynomial of degree has at most zeros (counting multiplicities). A linear polynomial has at most one zero, a quadratic at most two, a cubic at most three, and so on.
7. The Remainder Theorem — division shortcut
When you divide a polynomial by a linear divisor , long division gives you a quotient and a remainder (which is a constant). The Remainder Theorem says:
Remainder Theorem. When is divided by , the remainder is .
In other words, the remainder isn't even a new number — it's just the value of at , which is one substitution away.
Worked example. Find the remainder when is divided by .
By the Remainder Theorem, the remainder is : . Remainder = −1.
Verification by long division would give the same answer — but the theorem saves you all the working.
More general form. When is divided by , the remainder is .
(Reason: .)
Worked example. Find the remainder when is divided by .
. . Remainder = −1/4.
8. The Factor Theorem — the most powerful tool in Class 9 algebra
Factor Theorem. is a factor of if and only if .
This is just the Remainder Theorem with remainder . "Zero remainder" means divides exactly, which is the definition of being a factor.
Why it's powerful. To check whether is a factor of :
- Substitute : . So no, NOT a factor.
- Try : . So IS a factor.
You now know one factor for free. Polynomial division gives you the rest.
Step-by-step factorisation using the Factor Theorem
Worked example (a CBSE classic). Factorise completely.
Step 1 — Find one zero by trial. Test small integers that divide the constant term . (This is the Rational Root Theorem shortcut.)
- . ✓ So is a factor.
Step 2 — Divide by (synthetic or long division): .
Step 3 — Factorise the resulting quadratic using the "splitting the middle term" method (you'll see this in Section 10): .
Step 4 — Combine.
The three zeros are . The polynomial is now completely factorised.
9. The seven essential algebraic identities
These are the bread-and-butter of Class 9 algebra. Memorise them; appearance in every paper is guaranteed.
Two derived identities used constantly:
And a famous one used in Olympiads (you'll see it in Section 13):
Special case (when ): if the three numbers sum to zero, the famous identity collapses to . This is a 4-mark HOTS question almost every year.
10. Factorising a quadratic — splitting the middle term
To factorise :
- Compute the product .
- Find two numbers such that and .
- Split the middle term: .
- Group and take out common factors.
Worked example. Factorise .
Step 1: . Step 2: Find two numbers that multiply to and add to . → and . Step 3: . Step 4: .
✦ Answer: .
Worked example. Factorise .
Two numbers with product and sum : and . .
11. Eight worked exam examples
Example 1 — Identify (1 mark)
Is a polynomial? Yes. The coefficient is just a real number; coefficients are allowed to be irrational. (What's not allowed is a non-integer exponent on .) Degree = 3.
Example 2 — Find the value (1 mark)
Find if . .
Example 3 — Remainder Theorem (2 marks)
Find the remainder when is divided by . . . Remainder = .
Example 4 — Factor Theorem (2 marks)
Is a factor of ? . ✓ So yes, is a factor.
Example 5 — Factorisation (3 marks)
Factorise . (using identity 3).
Example 6 — Splitting middle term (3 marks)
Factorise . Numbers with product 12 and sum −7: −3 and −4. .
Example 7 — Identity application (3 marks)
Without actually computing, find the value of . (using identity 3).
Example 8 — HOTS factorisation (4 marks)
Factorise . Try integer divisors of : . . ✓ So is a factor. Divide: . Factorise the quadratic: . . Zeros are .
12. Common pitfalls
- Calling a polynomial. It's not — negative exponents disallowed.
- Confusing the constant polynomial with the zero polynomial. has degree 0; has undefined degree.
- Mis-signing the remainder. Dividing by — substitute (not ).
- Forgetting to fully factorise. is INCOMPLETE — keep going: .
- Mixing up identities. . There's a cross-term .
- Wrong sign on . — the second factor has a , not .
- Stopping after finding one factor. Use the Factor Theorem → divide → continue factorising until linear factors are left.
13. Beyond NCERT — stretch problems
Stretch 1 — The trick (olympiad classic)
If , prove that .
Use the identity . Given , the RHS equals 0, so , giving . ∎
Stretch 2 — Symmetric polynomial trick
If and , find without solving for .
.
Stretch 3 — Counting integer zeros (JEE Foundation)
How many integer zeros does have?
Factorise: . Integer zeros: . Four integer zeros.
14. Real-world polynomials
- Projectile motion. A ball thrown up follows — a quadratic polynomial. Solving gives when it hits the ground.
- Compound interest growth. Money compounded for years grows as — expand and you get a polynomial in (sort of — actually an exponential, but the binomial expansion uses polynomial identities).
- Computer graphics. Smooth curves (Bezier curves) used in fonts, animation, and CAD are cubic polynomials.
- Loss functions in ML. A linear regression's "loss" is a quadratic polynomial in the model's weights.
- Signal processing. Polynomial roots tell engineers whether an audio filter will oscillate or die out.
- Encryption. Modern public-key cryptography uses polynomials over finite fields (ECC, RSA-like systems).
- Physics — moment of inertia. Often appears as a quadratic in distance from the axis.
15. CBSE exam blueprint
| Type | Marks | Typical question | Time |
|---|---|---|---|
| VSA | 1 | Degree, identify polynomial, value | 30 sec |
| SA-I | 2 | Remainder/Factor Theorem; simple factorisation | 2 min |
| SA-II | 3 | Split-the-middle-term; identity-based simplification | 4–5 min |
| LA | 4 | Cubic factorisation; → | 6–8 min |
Total marks: 8–10 / 80 in Class 9 finals. This is the highest-yield chapter in algebra at this level. Pure-skill chapter — drill the identities and the factorisation algorithms.
Three exam-day strategies:
- Always write the identity you're using before substituting numbers. 1 mark for the rule, 1 mark for the calculation.
- When asked "find the remainder when divided by (ax + b)", compute directly — never long-divide unless explicitly asked.
- For cubic factorisation, try small integers ( etc.) first; only switch to fractions if integers fail.
16. NCERT exercise walkthrough
- Exercise 2.1: 5 questions — what is a polynomial, identifying degree, classifying as linear/quadratic/cubic.
- Exercise 2.2: 4 questions — finding value , zeros of given polynomials.
- Exercise 2.3: 3 questions — Remainder Theorem applications.
- Exercise 2.4: 5 questions — Factor Theorem; factorising cubic polynomials.
- Exercise 2.5: 16 questions — applying identities, big factorisation problems, conjugate / sum-of-cubes tricks.
All exercises are covered by Sections 4–10 above with multiple worked examples. Try them in the practice quiz.
17. 60-second recap
- Polynomial = sum of terms with non-negative integer and real .
- Degree = highest power of .
- Value = substitute for .
- Zero = value of that makes .
- Remainder Theorem: remainder when is .
- Factor Theorem: is a factor iff .
- Seven core identities — memorise.
- Splitting the middle term for quadratics.
- Cubic factorisation: find one zero via Factor Theorem → divide → factorise the quadratic.
Take the practice quiz and the flashcard deck before moving on. Next chapter: Coordinate Geometry.
