In College Algebra, you're not just learning to solve equations—you're building a toolkit for modeling how the world actually works. Every equation type you encounter represents a different kind of relationship: linear equations describe constant rates of change, exponential equations capture growth and decay, and quadratic equations model situations where change itself is changing. The PSAT and college math courses expect you to recognize which equation type fits a given scenario and manipulate it confidently.
Here's the key insight: these equations aren't isolated topics. They connect through shared concepts like intercepts, transformations, and inverse relationships. When you understand why a logarithm undoes an exponential or how a system of equations finds intersection points, you're thinking like the test wants you to think. Don't just memorize formulas—know what behavior each equation type models and when to reach for it.
Linear and Proportional Relationships
These equations model situations where change happens at a constant rate. The defining feature is that equal changes in x always produce equal changes in y.
Linear Equations
Standard form: y=mx+b—where m represents the slope (rate of change) and b is the y-intercept
Slope interpretation—a slope of m=3 means y increases by 3 units for every 1-unit increase in x; negative slopes indicate inverse relationships
Applications span prediction and trend analysis—anytime you see "constant rate," "per unit," or "steady increase," think linear
Systems of Linear Equations
Multiple equations sharing variables—solutions occur where all equations are simultaneously true, representing intersection points
Three solution types exist: unique (lines intersect once), infinite (lines overlap completely), or none (parallel lines never meet)
Solving methods include substitution, elimination, and graphing—elimination works best when coefficients align; substitution shines when one variable is already isolated
Compare: A single linear equation vs. a system of linear equations—both involve the same equation form, but single equations have infinitely many solutions (every point on the line), while systems narrow down to specific intersection points. FRQs often ask you to set up systems from word problems involving two unknowns.
Polynomial and Quadratic Behavior
Polynomials involve variables raised to whole-number powers. The degree of the polynomial determines the maximum number of roots and the general shape of its graph.
Quadratic Equations
Standard form: ax2+bx+c=0—graphs as a parabola opening upward when a>0 and downward when a<0
The discriminant b2−4ac reveals root nature—positive means two real roots, zero means one repeated root, negative means complex roots
Solve using factoring, completing the square, or the quadratic formula: x=2a−b±b2−4ac—the vertex at x=2a−b gives the maximum or minimum value
Polynomial Equations
General form involves terms like anxn+an−1xn−1+⋯+a0—the highest power (degree) determines end behavior and maximum turning points
The Fundamental Theorem of Algebra guarantees n roots (counting multiplicity and complex roots) for a degree-n polynomial
Solving strategies include factoring, synthetic division, and the Rational Root Theorem—test possible rational roots of the form ±qp where p divides the constant term and q divides the leading coefficient
Compare: Quadratic equations vs. higher-degree polynomials—quadratics always have exactly 2 roots and predictable parabola shapes, while cubics and beyond can have more complex behavior with multiple turning points. If you see degree 3 or higher, expect the graph to change direction more than once.
Exponential and Logarithmic Relationships
These equations model multiplicative change—situations where quantities double, halve, or change by percentages. Exponentials and logarithms are inverse operations, just like multiplication and division.
Exponential Equations
Standard form: y=a⋅bx—where a is the initial value and b is the growth/decay factor
Growth occurs when b>1; decay occurs when 0<b<1—population doubling uses b=2; half-life problems use b=0.5
Solve for unknown exponents using logarithms—if 5x=125, then x=log5(125)=3
Logarithmic Equations
Standard form: y=loga(x)—answers the question "what power of a gives x?"
Logarithmic scales compress large ranges—the Richter scale and decibel scale both use logarithms to make huge variations manageable
Compare: Exponential vs. logarithmic equations—they're inverses of each other, meaning y=bx and y=logb(x) "undo" each other. If an FRQ gives you an exponential growth scenario and asks "when will the quantity reach a certain value," you'll need logarithms to solve for time.
Equations with Special Structures
These equation types require careful attention to domain restrictions and potential extraneous solutions. The solving process itself can introduce false answers.
Absolute Value Equations
Standard form: ∣x∣=a—represents distance from zero, yielding two solutions: x=a and x=−a (when a≥0)
Graphs form a V-shape—the vertex occurs where the expression inside equals zero; the graph reflects across this point
No solution exists when ∣x∣=a and a<0—distance cannot be negative, so recognize these impossible cases immediately
Rational Equations
Involve polynomial fractions like q(x)p(x)—solve by finding common denominators or cross-multiplying
Domain restrictions are critical—identify values that make the denominator zero; these create vertical asymptotes and must be excluded from solutions
Common in rate and work problems—"working together" scenarios often produce equations like a1+b1=t1
Radical Equations
Involve roots like x or 3x—solve by isolating the radical, then raising both sides to the appropriate power
Squaring can introduce extraneous solutions—always check answers in the original equation; some "solutions" won't actually work
Domain considerations matter—square roots require non-negative radicands in the real number system
Compare: Rational equations vs. radical equations—both can produce extraneous solutions, but for different reasons. Rational equations fail when solutions make denominators zero; radical equations fail when squaring creates false positives. Either way, always verify your answers.
Inequalities and Solution Sets
Unlike equations that find specific values, inequalities describe ranges of values that satisfy a condition. Solutions are intervals or regions, not single points.
Inequalities and Their Graphs
Symbols include <,>,≤,≥—strict inequalities (<,>) use open circles or dashed lines; inclusive inequalities (≤,≥) use closed circles or solid lines
Multiplying or dividing by negatives flips the inequality sign—this is the most common error; if you divide by −2, change < to >
Systems of inequalities create feasible regions—shade the overlap of all conditions; vertices of these regions often represent optimal solutions in applications
Compare: Linear equations vs. linear inequalities—equations give you a line (infinitely many points), while inequalities give you a half-plane (infinitely many points on one side of the line). When graphing y>2x+1, the line itself isn't included—use a dashed line and shade above.
Quick Reference Table
Concept
Best Examples
Constant rate of change
Linear equations, systems of linear equations
Parabolic/turning behavior
Quadratic equations, polynomial equations
Multiplicative growth/decay
Exponential equations
Inverse of exponentials
Logarithmic equations
Distance and reflection
Absolute value equations
Domain restrictions required
Rational equations, radical equations
Extraneous solution risk
Radical equations, rational equations
Solution as a range/region
Inequalities
Self-Check Questions
Which two equation types are inverses of each other, and how would you use one to solve for an unknown exponent in the other?
Both rational and radical equations can produce extraneous solutions. What causes this in each case, and what should you always do before finalizing your answer?
Compare the graphs of y=x2 and y=∣x∣. What shape does each produce, and where does each have its minimum value?
A system of linear equations has no solution. What does this tell you about the graphs of the two equations, and what term describes their relationship?
If a PSAT problem describes a quantity that "doubles every 3 years," which equation type should you use, and what would the base of the equation represent?