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Polynomials and Synthetic Division

The Polynomial Division Algorithm

Polynomial division mirrors numerical division, relating a dividend () to its divisor (), quotient (), and remainder ().
The Division Algorithm expresses a polynomial as the product of its divisor and quotient plus any remaining value.
=Dividend polynomial(unitless)
=Divisor polynomial(unitless)
=Quotient polynomial(unitless)
=Remainder constant (if divisor is linear)(unitless)
The divisor is a factor of the dividend.
Standard Form: Both polynomials must be written in descending order of degree before starting.
Degree Constraint: For the algorithm to finish, the degree of the remainder must be less than the degree of the divisor.
Quotient Degree: When dividing a degree- polynomial by a degree- divisor, the quotient has degree .

Synthetic Division: The Shortcut

Synthetic division is a streamlined method for dividing by a linear divisor of the form , focusing solely on coefficients.
The constant is the value that makes the divisor zero ().
=Zero of the divisor(constant)
=Linear binomial divisor(unitless)
(Always flip the sign of the constant term).
Placeholder Zero: If a power of is missing in the dividend, a must be inserted in the synthetic array.
Leading Coefficient: The first coefficient of the dividend is always dropped straight down to begin the process.
Limitation: Synthetic division only works when the divisor is linear with leading coefficient . For divisors like , use long division or divide all coefficients by first.

The Remainder and Factor Theorems

The Remainder Theorem allows calculating without division, while the Factor Theorem identifies roots where the remainder is zero.
Evaluating a function at gives the same result as the remainder of .
=Polynomial evaluated at $c$(value)
=Remainder from division(value)
is a factor and is a root.
Synthetic Substitution: Using synthetic division to find is often faster than direct substitution for high-degree polynomials.
Zero of a Function: If is a factor, then is an x-intercept on the graph of .
Converse Direction: The Factor Theorem works both ways — proves is a factor, and being a factor proves .
Finding Unknown Coefficients: Set (given remainder) to build equations for unknown parameters like or .

Depressed Equations and Complete Factoring

When a known root is used in synthetic division, the quotient polynomial (one degree lower) is called the depressed equation. Solving it finds the remaining roots.
After removing one factor via synthetic division, the depressed equation contains the remaining roots.
=Depressed polynomial (quotient after division)(unitless)
=Factor corresponding to known root $c$(unitless)
Multiple known roots
Apply synthetic division repeatedly — each division reduces the degree by 1.
Depressed equation is quadratic
Factor directly or use the quadratic formula to find remaining roots.
Degree Reduction: A degree- polynomial with known roots requires synthetic division times, leaving a degree- depressed equation.
Order Independence: Multiple synthetic divisions can be performed in any order — the final depressed equation is the same.

Forming Polynomial Equations from Roots

Given all roots of a polynomial, the equation can be reconstructed by multiplying the corresponding linear factors together.
Each root contributes a factor . Their product gives the complete polynomial.
=The $n$ roots of the polynomial(unitless)
=Linear factor for root $r_i$(unitless)
Quadratic ()
, i.e., where = sum and = product of roots.
Sum and Product Shortcut: For a quadratic with roots : the equation is .
Scaling: Any constant multiple has the same roots. The leading coefficient can be chosen freely.