Polynomial and Rational Functions
Functions defined by polynomial expressions are called polynomial functions. Their graphs can have many peaks and valleys, which makes them excellent models for real-world situations — from a factory's productivity curve (degree 2) to the multi-stage growth of animal populations (degree 3). This chapter studies how to graph, divide, factor, and find the zeros of polynomial and rational functions, and how to solve inequalities built from them.
This chapter is the backbone for a lot of engineering math. Quadratics show up everywhere in optimization (max/min), and rational functions describe real physical systems like parallel resistances and the Doppler effect. Master Section 3.4 (finding real zeros) early — you'll lean on it constantly when factoring and solving inequalities later.
Quadratic Functions and Models
A polynomial function of degree \(n\) has the form \(P(x)=a_n x^n + a_{n-1}x^{n-1}+\cdots+a_1 x + a_0\) with \(a_n \neq 0\). Degree 0 and 1 polynomials are lines; this section studies degree 2, the quadratic functions, whose graphs are parabolas.
Quadratic Function
A quadratic function is a polynomial function of degree 2 — a function of the form \(f(x)=ax^2+bx+c\) with \(a\neq 0\). Every quadratic graphs as a parabola, obtainable from \(y=x^2\) by transformations.
Obtained by completing the square. The graph is a parabola with vertex \((h,k)\); it opens upward if \(a>0\) and downward if \(a<0\).
If a quadratic has vertex \((h,k)\), the vertex gives a minimum value when the parabola opens upward and a maximum value when it opens downward.
The extreme value occurs at \(x=-\dfrac{b}{2a}\). If \(a>0\), \(f\!\left(-\dfrac{b}{2a}\right)\) is the minimum; if \(a<0\), it is the maximum.
The revenue example is the classic "express attendance in words, then in algebra" trick. In engineering economics you'll set up profit and cost models the exact same way: write the quantity in plain words first, translate to algebra, then optimize with \(x=-b/2a\). Don't skip the word step — it prevents sign errors.
Polynomial Functions and Their Graphs
Polynomial Function (Terminology)
A polynomial function of degree \(n\) is \(P(x)=a_n x^n + a_{n-1}x^{n-1}+\cdots+a_1 x + a_0\), where \(n\) is a nonnegative integer and \(a_n\neq 0\). The \(a_i\) are the coefficients; \(a_0\) is the constant term; \(a_n\) is the leading coefficient, and \(a_n x^n\) is the leading term. A single-term polynomial is a monomial.
The end behavior of a polynomial — what happens as \(x\to\infty\) or \(x\to-\infty\) — is determined entirely by its leading term, because for large \(x\) the other terms are insignificant.
For \(P(x)=a_n x^n + \cdots + a_0\), behavior depends on degree parity and the sign of \(a_n\):
- Odd degree, \(a_n>0\): \(y\to-\infty\) as \(x\to-\infty\), \(y\to\infty\) as \(x\to\infty\).
- Odd degree, \(a_n<0\): \(y\to\infty\) as \(x\to-\infty\), \(y\to-\infty\) as \(x\to\infty\).
- Even degree, \(a_n>0\): \(y\to\infty\) at both ends.
- Even degree, \(a_n<0\): \(y\to-\infty\) at both ends.
Real Zeros of Polynomials
If \(P\) is a polynomial and \(c\) a real number, the following are equivalent: (1) \(c\) is a zero of \(P\); (2) \(x=c\) is a solution of \(P(x)=0\); (3) \(x-c\) is a factor of \(P(x)\); (4) \(c\) is an \(x\)-intercept of the graph.
If \(P\) is a polynomial and \(P(a)\) and \(P(b)\) have opposite signs, then there is at least one value \(c\) between \(a\) and \(b\) with \(P(c)=0\). Consequently, between successive zeros the graph lies entirely above or entirely below the \(x\)-axis.
Multiplicity of a Zero
If the factor \(x-c\) appears exactly \(m\) times in the factorization of \(P(x)\), then \(c\) is a zero of multiplicity \(m\). The graph crosses the \(x\)-axis at \(c\) if \(m\) is odd, and touches (does not cross) if \(m\) is even. Near \(c\), the graph resembles \(y=A(x-c)^m\).
A polynomial of degree \(n\) has at most \(n-1\) local extrema (local maxima and minima combined). It may have fewer.
Multiplicity is one of those ideas students underestimate. "Cross vs. touch" tells you the shape instantly without plugging in dozens of points. When you sketch a transfer function or a load curve by hand, knowing whether each root crosses saves real time. Quick check: count up all multiplicities — they must equal the degree.
Dividing Polynomials
To factor polynomials algebraically, we first need to divide them. Polynomial division mirrors the familiar long division of numbers.
For polynomials \(P\) (dividend) and \(D\neq 0\) (divisor), there exist unique \(Q\) (quotient) and \(R\) (remainder), where \(R=0\) or \(\deg R<\deg D\).
Synthetic Division
A shortcut for dividing by a linear divisor of the form \(x-c\). Write only the coefficients of the dividend and the value \(c\); bring down, multiply by \(c\), and add column by column. The last entry is the remainder; the rest form the quotient's coefficients.
If \(P(x)\) is divided by \(x-c\), the remainder equals \(P(c)\). So synthetic division by \(x-c\) is a fast way to evaluate \(P(c)\).
Real Zeros of Polynomials
Finding zeros is the same as factoring into linear factors. This section gives algebraic tools for locating the real zeros of a polynomial.
If \(P(x)=a_n x^n+\cdots+a_0\) has integer coefficients (\(a_n\neq0,\ a_0\neq0\)), then every rational zero \(p/q\) (in lowest terms) has \(p\) a factor of the constant term \(a_0\) and \(q\) a factor of the leading coefficient \(a_n\).
Descartes' Rule of Signs
A variation in sign occurs where adjacent coefficients (in descending order, omitting zeros) have opposite signs. The number of positive real zeros equals the number of sign variations in \(P(x)\) or is less by an even whole number. The number of negative real zeros equals the sign variations in \(P(-x)\) or less by an even whole number. A zero of multiplicity \(m\) is counted \(m\) times.
Divide \(P(x)\) by \(x-b\) (\(b>0\)) using synthetic division. If the quotient-and-remainder row has no negative entry, then \(b\) is an upper bound for the real zeros. Dividing by \(x-a\) (\(a<0\)): if the row entries alternate nonpositive and nonnegative, then \(a\) is a lower bound.
The fuel-tank problem is exactly the kind of geometry-to-polynomial setup you'll see in fluid storage and pressure-vessel design. Build the volume from its parts (cylinder + sphere), set equal to the target, and solve. The Upper/Lower Bounds Theorem is your friend for picking a sensible graphing window before you hunt for a root numerically.
Complex Zeros and the Fundamental Theorem of Algebra
In the complex number system, an \(n\)th-degree polynomial has exactly \(n\) zeros (counting multiplicity) and factors into exactly \(n\) linear factors.
Every polynomial \(P(x)=a_n x^n+\cdots+a_0\) (\(n\ge1,\ a_n\neq0\)) with complex coefficients has at least one complex zero. (Proved by Gauss in 1799.)
Every degree-\(n\) polynomial (\(n\ge1\)) factors into \(n\) linear factors over the complex numbers, where \(a\) is the leading coefficient and \(c_1,\dots,c_n\) are the zeros.
Every polynomial of degree \(n\ge1\) has exactly \(n\) zeros, provided a zero of multiplicity \(k\) is counted \(k\) times.
If \(P\) has real coefficients and the complex number \(z\) is a zero of \(P\), then its conjugate \(\bar z\) is also a zero. Complex zeros come in conjugate pairs.
Every polynomial with real coefficients can be factored into a product of linear and irreducible quadratic factors with real coefficients. (An irreducible quadratic has no real zeros.)
Rational Functions
Rational Function
A rational function has the form \(r(x)=\dfrac{P(x)}{Q(x)}\), where \(P\) and \(Q\) are polynomials with no common factor. Its domain is all real numbers except where \(Q(x)=0\).
Vertical and Horizontal Asymptotes
The line \(x=a\) is a vertical asymptote if \(y\to\pm\infty\) as \(x\to a^+\) or \(x\to a^-\). The line \(y=b\) is a horizontal asymptote if \(y\to b\) as \(x\to\pm\infty\). An asymptote is a line the graph approaches ever more closely.
For \(r(x)=\dfrac{a_n x^n+\cdots}{b_m x^m+\cdots}\):
- Vertical asymptotes occur at the zeros of the denominator.
- If \(n
- If \(n=m\): horizontal asymptote \(y=\dfrac{a_n}{b_m}\).
- If \(n>m\): no horizontal asymptote.
- Factor numerator and denominator.
- Find intercepts: zeros of numerator (\(x\)-intercepts) and \(r(0)\) (\(y\)-intercept).
- Find vertical asymptotes and test the sign on each side.
- Find the horizontal asymptote (if any).
- Plot points and sketch a smooth curve respecting the asymptotes.
Slant (Oblique) Asymptote
If the numerator's degree is exactly one more than the denominator's, division gives \(r(x)=ax+b+\dfrac{R(x)}{Q(x)}\). Since \(R(x)/Q(x)\to0\) for large \(|x|\), the line \(y=ax+b\) is a slant asymptote.
Example 11 is pure engineering payoff. The horizontal asymptote \(R=8\) tells you a design limit physically: adding parallel resistance only pushes you toward, never past, the fixed value. Whenever you see a rational model in a system (resistance, flow, concentration), ask "what does the horizontal asymptote mean in the real world?" — that's usually the steady-state or saturation value.
Polynomial and Rational Inequalities
- Move all terms to one side.
- Factor the polynomial into irreducible factors; find the real zeros.
- List the intervals determined by the zeros.
- Make a sign table using test values in each interval.
- Read off the solution; check endpoints if the inequality is \(\le\) or \(\ge\).
Cut Points
For \(r(x)=\dfrac{P(x)}{Q(x)}\), the cut points are the zeros of the numerator and the zeros of the denominator. A rational function can change sign only at its cut points, so we test intervals between successive cut points.
- Move all terms to one side; combine over a common denominator.
- Factor numerator and denominator; find the cut points.
- List intervals determined by the cut points.
- Build a sign table with test values.
- Read off the solution; never include values that make the denominator 0.
For rational inequalities, the single biggest error I see is treating denominator zeros like numerator zeros. They're both cut points where the sign can flip, but a denominator zero is never part of the solution set — the function isn't even defined there. Always use brackets vs. parentheses deliberately. The light-intensity example also shows the graphical method, which is often faster for messy expressions you can't factor cleanly.