Overview
Quick Refresher:
Polynomial: a mathematical expression consisting of variables (also called indeterminates), coefficients, and constants, combined using addition, subtraction, and multiplication. e.g.
Roots: Any constant that when plugged into a polynomial results in a value of 0. The roots of are and .
Vieta's formulas provide quick ways to find the sum of the products of some combination of the roots of a polynomial. Rather than strenuously finding roots of a polynomial, vieta's formulas (commonly referred to as vieta's) help us find the sum, pairwise sum, product, etc. of the roots of a polynomial without knowing a single root!
Key Ideas
Suppose you are tasked with finding the sum of the roots of a nasty quadratic like:
Obviously, finding the roots here is simply not feasible (don't even try it!). However, with vieta's, all we need to know is some of the coefficients.
Consider the quadratic with roots : , .
All this denotes is that to find the sum of the roots of a quadratic, we need the coefficient, and the coefficient, , and evaluate . So in our case, the answer would be
General Form
More generally, Vieta's formulas can be utilized for polynomials of any positive integral degree.
Consider a degree polynomial with leading coefficient and roots :
Vieta's formulas tell us:
In general, the sum of all products of roots taken at a time equals .
Notice the alternating sign: each successive formula picks up an extra factor of . This comes directly from expanding and matching coefficients.
Usecases
Many problems in math contests involve finding some sum or product of the roots of a polynomial. Also, higher powers of those roots are also involved. For instance, you may be tasked to find where are the roots of a quadratic. We will go through some common patterns alongside their derivations.
Throughout this section, let be roots of , so and .
We use the identity , so:
We use the factorization . Substituting:
We use :
Notice this is just the discriminant over , which makes sense.
Newton's Sums (General Power Sums)
For higher powers, Newton's sums give a systematic approach. Define . Then:
for
So each power sum is expressible purely in terms of the previous two and Vieta's quantities. For example:
This recurrence generalizes to degree polynomials: satisfies a recurrence whose coefficients are exactly (up to sign) the coefficients of the polynomial.
More generally, , so reciprocal power sums reduce to ordinary power sums.
Reciprocal Roots via Polynomial Manipulation
Rather than applying formulas, we can directly construct the polynomial whose roots are and by reversing the order of coefficients. If has roots , then substituting and multiplying through by :
So the polynomial with roots is just the original polynomial with coefficients reversed. Vieta's applied to this new polynomial immediately gives and , consistent with what we found above.
Shifted Roots via Polynomial Manipulation
Suppose we want the polynomial whose roots are and for some constant . Substituting into the original polynomial gives a new polynomial whose roots are exactly and :
Expanding:
Applying Vieta's to this shifted polynomial:
✓
✓
This technique generalizes: to find Vieta's quantities for any transformation of the roots, substitute into the original polynomial and read off the new coefficients.
Example Problem
The harmonic mean of a collection of numbers is the reciprocal of the arithmetic mean of the reciprocals of the numbers in the collection. For example, the harmonic mean of and is
What is the harmonic mean of all the real roots of the th degree polynomial
This problem seems scary but the key is to break it down. The reciprocal of the harmonic mean we can ignore for now, we can simply compute the arithmetic mean of the reciprocal of the roots of the given expression. This will involve knowing the sum of the reciprocal of the roots and the number of roots. As stated above, the sum of the reciprocal of roots can be easily found by flipping the coefficients of the polynomial. But how? We don't even have a simple polynomial!
The key here is to realize that we don't care about the entire polynomial. Since we only want the sum of the reciprocal of the roots, we care about the coefficient of the term in the expression as when we flip coefficients, that coefficient will be the coefficient of the 2nd largest degree term which we need to find the sum of the reciprocals (this is derived from Vieta's). So, it remains to find the coefficient of the expression.
To get an , you must have constant terms and one '' term. There are = 2025 ways this can happen (as we need one term and we have a total of ). So, the coefficient will be . The quantity is negative as all terms have a negative sign attached, so getting one term will give a negative factor. Also, note that to find the sum of the reciprocal of the roots, we also need the coefficient of the largest degree term in the reversed polynomial, i.e, the constant term in the non-reversed/original polynomial. This is simply . Hence, the sum of the reciprocal of the roots =
Since we wanted the arithmetic mean of the sum of reciprocal of roots, we need to divide by the number of roots (recall arithmetic mean = sum of all values divided by the number of values) which is (2025 quadratic each with roots).
Dividing the above result by and taking the reciprocal of that we get:
Practice Problems
| Status | Source | Problem Name | Difficulty | Tags | ||
|---|---|---|---|---|---|---|
| AIME | Medium | Show TagsAlgebra, Quadratic, Substitution | ||||
| AMC 12B | Medium | Show TagsAlgebra, Polynomials, Vieta's Formulas | ||||
| AMC 10A | Easy | Show TagsAlgebra, Quadratic, Vieta's Formulas | ||||
| AMC 12B | Medium | |||||
| AMC 10A | Easy | Show TagsAbsolute Value, Algebra, Equations | ||||
| AMC 12B | Easy | Show TagsAlgebra, Quadratic, Vieta's Formulas | ||||
| AMC 12B | Medium | |||||
Module Progress:
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