Symmetric Functions of Roots
Power sums come from the Vieta sums : , , .
In plain terms. You can compute the sum of the th powers of the roots step by step from the coefficients — without ever finding the roots.
Example. If roots sum to and pair-sum to , then .
Why they hold. Each root satisfies its polynomial. For a cubic , every root has ; multiply by and add over the three roots to get for (with , which is where the in comes from). So the power sums obey the same linear recurrence as the polynomial, and each is computed from the previous three.
The roots of are , , . Find .
Spotting it. Each root satisfies , so the power sums satisfy .
Step 1. , , .
Step 2. , , . The answer is .
Real numbers , , satisfy , and . Find .
Spotting it. Three power sums determine the three elementary symmetric sums, which determine every other power sum. Run Newton forwards to recover and , then once more.
Step 1. : , so .
Step 2. : , so .
Step 3. .
Dropping the coefficient in . It is , because contains each cross product twice; writing in the second worked example gives and a wrong . And keep the signs of the cubic straight: for , , , .
The roots of are and . Find .
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, and .
The Roots of Unity Filter
To sum the coefficients of in , average over the th roots of unity: .
In plain terms. Plugging the symmetric roots of unity in and averaging cancels every term except the ones whose exponent is a multiple of .
Example. via the cube roots of unity.
Why it works. Plug into and average over . The coefficient gets multiplied by . When every term is and the average is ; otherwise it is the average of a full set of rotated roots of unity, which is . To pick out the indices instead, average .
Let be the number of subsets of whose size is a multiple of . Find the remainder when is divided by .
Spotting it. : every third coefficient of .
Step 1. .
Step 2. is a unit complex number at , so its th power is at : , and likewise .
Step 3. , and the remainder is .
How many subsets of (including the empty set) have a sum divisible by ?
Spotting it. Encode each element as a factor : the coefficient of in counts subsets with sum . Filter the exponents divisible by .
Step 1. Mod the elements are three s, three s and three s, so at a cube root of unity : .
Step 2. , so ; likewise . And .
Step 3. The count is .
Filtering the wrong residue class. The plain average keeps the exponents . For subsets of with size you must average : that gives , not . The three residue classes must add to , and does.
Compute using the fourth roots of unity.
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Average over : . Since , and . The sum is . Check: ✓
Roots, Factors and Clever Evaluations
; the remainder of on division by is .
AIME problems rarely give the polynomial outright — they give conditions. "The polynomial of degree satisfies for " is really " has roots ", so and one more condition pins . Subtracting the pattern the values follow is the move.
Set to sum the coefficients; for the alternating sum; for the even-index coefficients.
These convert "the sum of the coefficients of " into with no expansion. The roots-of-unity filter is the general form: averaging over the -th roots of unity keeps only the coefficients whose index is divisible by .
A monic cubic satisfies and . Find .
Step 1 — the roots give .
Step 2 — , so (consistent with monic).
Step 3 — .
What is the sum of the coefficients of ?
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Set : .
A monic polynomial of degree satisfies for . Find .
Spotting it. The values follow the pattern , so has roots .
Step 1. has degree and leading coefficient (the does not touch the term), so .
Step 2. .
Find the sum of the coefficients of the even powers of in .
Spotting it. adds all the coefficients and adds them with alternating signs, so their average keeps only the even powers.
Step 1. and .
Step 2. The even-power coefficients add to .
Forgetting the leading coefficient when you subtract the pattern. If the polynomial in the first worked example were only said to have degree (not monic), then with unknown, and one more condition is needed; assuming silently gives whether or not it is true. Count the unknowns against the conditions.
Formulas, Proofs & Tips
What it means. Multiplying a sum multiplies each piece of it.
Example. .
Why it works. is added times. Regrouping those copies gives added times plus added times, i.e. . It is also the area of an rectangle split into two.
Tip. Distribute the sign too: . Run it backwards to factor.
What it means. The highest-power term decides what the graph does far left and far right.
Example. rises to the left and falls to the right (odd degree, negative lead).
Why it works. For very large , dwarfs every lower power, so the leading term dominates the sum. Multiplying polynomials multiplies their leading terms, adding the exponents.
Tip. Even degree: both ends go the same way. Odd degree: opposite ways. A positive leading coefficient sends the right end up.