Worked examples — Polynomials — degree, types (monomial, binomial, trinomial)
This page is the practice gymnasium for the parent topic on polynomials. We are going to hunt down every kind of situation a polynomial problem can put you in — friendly ones, sneaky ones, and the ones that make people lose marks in exams.
Before we solve anything, we build a map of all the traps. Then every worked example gets a label saying which trap it defuses. By the end, there is no scenario you haven't seen.
The scenario matrix
Each row below is a distinct case class. The last column says which worked example lands on it. If you can handle one example per row, you can handle the whole topic.
| # | Case class | What makes it tricky | Example |
|---|---|---|---|
| A | Clean degree + type read-off | nothing — the warm-up | Ex 1 |
| B | Hidden simplification — like terms cancel/combine | count/degree changes after tidying | Ex 2 |
| C | Zero leading coefficient (degenerate) | the top term vanishes, degree drops | Ex 3 |
| D | Constant & zero polynomial (degree edge cases) | degree vs undefined | Ex 4 |
| E | Multiply monomials/binomials — degree grows | exponents add (a common sign/rule slip) | Ex 5 |
| F | Divide monomials — degree shrinks, sign of exponent | subtracting exponents, can hit or negative | Ex 6 |
| G | Type changes shape (binomial² → trinomial) | expanding relabels the polynomial | Ex 7 |
| H | Word problem — build the polynomial from a story | translating words → algebra, then classify | Ex 8 |
| I | Exam twist — unknown exponent / "for what value…" | reasoning about the rules themselves | Ex 9 |
| J | Big-degree / limiting behaviour — which term dominates | intuition about "who wins" as grows | Ex 10 |
Prerequisites you may want open: Combining Like Terms, Exponent Rules, FOIL Method, Factoring.

The picture above shows the two independent "rulers" every polynomial is measured by: how many terms (left, counting blocks) and how tall the tallest block is (right, the degree). Keep them separate — mixing them up is the #1 mistake.
Ex 1 — Case A: clean read-off (warm-up)
Forecast: Guess before reading on — how many terms, and what degree? Say it out loud.
- Count the terms. They are , , and — that's three terms.
- Why this step? Type is decided purely by the number of terms after simplifying, and nothing here combines (different powers).
- List each term's exponent. , , .
- Why this step? The exponent of each term is what "degree" measures; a bare constant secretly carries .
- Take the largest exponent. .
- Why this step? Degree = highest power with a non-zero coefficient. Here , so the top term is real.
Answer: trinomial, degree .
Verify: Three separate powers (), all coefficients non-zero → 3 terms confirms trinomial. The tallest, , gives degree . ✓
Ex 2 — Case B: hidden simplification
Forecast: It looks like a five-term, degree-2 polynomial. Trust that? (Don't.)
- Group like terms (same variable-and-power): .
- Why this step? Like terms must be merged before counting — the definition of a polynomial refers to its simplified form.
- Combine. , and . We are left with .
- Why this step? The terms cancel completely — the "degree-2 look" was an illusion.
- Now count and rank. Two terms (, ); exponents and ; max .
- Why this step? Only now is the expression in its true, simplified form.
Answer: binomial, degree .
Verify: Plug into both forms. Original: . Simplified: . ✓ Same value → same polynomial.
Ex 3 — Case C: zero leading coefficient (degenerate)
Forecast: Is the degree really ? Which term is "fake"?
- Kill the phantom term. , so that whole term disappears.
- Why this step? Degree needs a non-zero coefficient on the top power. A zero coefficient means the term does not exist.
- Combine the real like terms. , plus . So .
- Why this step? Same tidy-first rule as Case B.
- Read the degree. Exponents and , max .
Answer: binomial, degree — not .
Verify: At : written form ; simplified . ✓ The contributed nothing, proving it was never really there.
Ex 4 — Case D: constant and zero-polynomial edge cases
Forecast: Do constants have degree , or "no degree"? Are and treated the same?
- Rewrite a non-zero constant with its hidden power. and , since for any .
- Why this step? This shows the constant is a legal term with exponent .
- Assign degrees to (a) and (c). Highest (only) exponent is , so both have degree .
- Why this step? Consistency — a constant fits the pattern once you expose the .
- Handle the zero polynomial separately. has no term with a non-zero coefficient at all.
- Why this step? There is literally nothing to measure, so its degree is undefined (some books write ).
Answer: (a) degree ; (b) degree undefined; (c) degree .
Verify: evaluates to everywhere (a flat, non-zero constant — a genuine term), while evaluates to everywhere (no term survives). Different objects → different degree status. ✓
Ex 5 — Case E: multiplying (degrees add)
Forecast: For the first, do the exponents add or multiply? For the second, will it stay a binomial?
Part 1 — monomial × monomial.
- Multiply coefficients, then variables. , and .
- Why this step? Exponent rule — we add exponents because multiplying stacks the factors: is seven 's multiplied.
- Assemble. .
Answer 1: monomial, degree .
Part 2 — binomial × binomial (FOIL).
- First·Outer·Inner·Last: .
- Why this step? Every term of one bracket must meet every term of the other.
- Combine middle terms. , leaving .
- Why this step? This is the difference of squares — the middle cancels by design.
Answer 2: binomial, degree .
Verify: at : ; and . ✓ For part 2 at : and . ✓
Ex 6 — Case F: dividing (degrees subtract)
Forecast: What happens to the degree when you divide? What if the exponent hits ?
- Divide coefficients, subtract exponents. and .
- Why this step? Exponent rule — dividing cancels matched factors, so we subtract. First result: .
- Second quotient. and .
- Why this step? When exponents match, subtraction gives , which equals — this is why is defined that way: it must make division consistent.
- Assemble. .
Answer: (monomial, degree ); and (constant monomial, degree ).
Verify: At : and . ✓ Second is trivially for any non-zero . ✓
Ex 7 — Case G: type changes shape (binomial² → trinomial)
Forecast: A binomial is squared — does it stay a binomial?
- Write the square as a product. .
- Why this step? "Squared" means "times itself" — we can only FOIL a product.
- FOIL. .
- Why this step? Distribute every term against every term.
- Combine like terms. , giving .
- Why this step? Merging the two terms is what produces a three-term result.
Answer: trinomial, degree . A two-term thing squared became three terms — matching with .
Verify: At : and . ✓
Ex 8 — Case H: word problem (build it, then classify)
Forecast: Guess the degree from the story: area of a square hints at … but is it the top term?
- Garden area. A square of side has area .
- Why this step? Area of a square is side².
- Two paths. Each path runs the full length with width , so each has area ; two of them give .
- Why this step? Path is a rectangle, area = length × width; two identical paths add.
- Patio. A fixed square adds the constant .
- Why this step? It doesn't depend on , so it's a constant () term.
- Total and classify. . Three terms, top power .
Answer: trinomial, degree (a quadratic in disguise).
Verify: Units: is m², is m·(m) = m², is m² — all areas, consistent. ✓ Numeric: for : garden , paths , patio , total ; formula . ✓
Ex 9 — Case I: exam twist (reason about the rules)
Forecast: What single value of makes the top term vanish?
- When is the term real? The degree is only if its coefficient .
- Why this step? Degree needs a non-zero leading coefficient (Case C logic).
- Solve . That gives . At the term dies, so it is not cubic.
- Why this step? Setting the coefficient to zero removes the top term. Solve like a tiny linear equation.
- What remains at ? — two terms.
- Why this step? Once the cubic term is gone, count what's left: a binomial, degree .
Answer: cubic for all ; at it collapses to the binomial (degree ).
Verify: Put , : ; and . ✓ Put , : , a genuine cubic contribution present. ✓
Ex 10 — Case J: limiting behaviour (who dominates?)
Forecast: For small the looks scary. Does it stay the boss as grows?
- Evaluate each term at . , , and .
- Why this step? Comparing actual sizes shows which term dominates.
- Compare magnitudes. is ten times larger than ; the constant is negligible.
- Why this step? The highest power grows fastest, so for large the degree term wins — this is exactly why degree describes a polynomial's long-run behaviour.
- Conclude. , dominated by .
Answer: the (degree-) term dominates for large ; the leading term always eventually wins, which is why the degree tells you the shape of the tails.

Verify: , and the term alone is — within about of the total, confirming dominance. ✓
Recall
Recall Which ruler decides "type", which decides "degree"?
Type is decided by ::: the number of terms after full simplification. Degree is decided by ::: the highest exponent with a non-zero coefficient.
Recall After simplifying
, what type is it? Binomial () — the terms cancel. :::
Recall What is the degree of the zero polynomial vs the constant
? Zero polynomial: undefined. Constant : degree . :::