2.1.13 · D3Algebra — Introduction & Intermediate

Worked examples — Polynomials — degree, types (monomial, binomial, trinomial)

2,424 words11 min readBack to topic

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.

Figure — Polynomials — degree, types (monomial, binomial, trinomial)

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.

  1. 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).
  2. List each term's exponent. , , .
    • Why this step? The exponent of each term is what "degree" measures; a bare constant secretly carries .
  3. 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.)

  1. 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.
  2. Combine. , and . We are left with .
    • Why this step? The terms cancel completely — the "degree-2 look" was an illusion.
  3. 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"?

  1. 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.
  2. Combine the real like terms. , plus . So .
    • Why this step? Same tidy-first rule as Case B.
  3. 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?

  1. 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 .
  2. 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 .
  3. 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.

  1. Multiply coefficients, then variables. , and .
    • Why this step? Exponent rule — we add exponents because multiplying stacks the factors: is seven 's multiplied.
  2. Assemble. .

Answer 1: monomial, degree .

Part 2 — binomial × binomial (FOIL).

  1. First·Outer·Inner·Last: .
    • Why this step? Every term of one bracket must meet every term of the other.
  2. 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 ?

  1. Divide coefficients, subtract exponents. and .
    • Why this step? Exponent rule — dividing cancels matched factors, so we subtract. First result: .
  2. 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.
  3. 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?

  1. Write the square as a product. .
    • Why this step? "Squared" means "times itself" — we can only FOIL a product.
  2. FOIL. .
    • Why this step? Distribute every term against every term.
  3. 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?

  1. Garden area. A square of side has area .
    • Why this step? Area of a square is side².
  2. 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.
  3. Patio. A fixed square adds the constant .
    • Why this step? It doesn't depend on , so it's a constant () term.
  4. 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?

  1. 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).
  2. 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.
  3. 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?

  1. Evaluate each term at . , , and .
    • Why this step? Comparing actual sizes shows which term dominates.
  2. 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.
  3. 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.

Figure — Polynomials — degree, types (monomial, binomial, trinomial)

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 . :::