BackEquations, Inequalities, and Functions: College Algebra Study Notes
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Equations, Inequalities, and Functions
Introduction
This study guide covers foundational topics in College Algebra, including equations, inequalities, systems of equations, linear programming, and functions. Each section provides definitions, properties, solution methods, and practical examples to support your understanding and exam preparation.
Equations
Definition of an Equation
Equation: A statement that two algebraic expressions are equal.
Examples:
Common types: Linear equations, quadratic equations, polynomial equations.
Linear Equations
Definition: Equations where variables have degree one (no exponents other than 1).
General form: , where is the slope and is the y-intercept.
Examples:
Linearity Criteria
All variables have exponent 1.
No products or quotients of variables.
Example: Identifying Linear Equations
Equation | Linear? | Reason |
|---|---|---|
Yes | All variables degree 1 | |
No | Product | |
Yes | All variables degree 1 | |
No | term | |
Yes | All variables degree 1 | |
No | Quotient |
Solving Linear Equations
Isolate the variable to one side of the equation.
Example: Solve
Example: Solve
Word Problem Example
Three parcels X, Y, Z have total mass 168 kg. X is 20 kg less than Z, Y is twice the total mass of X and Z. Find each mass.
Solution: Let , , Masses: X = 18 kg, Y = 112 kg, Z = 38 kg
Systems of Linear Equations
Definition and Types
A system of linear equations consists of two or more linear equations with the same variables.
General form: ,
Possible Solutions
Exactly one solution (lines intersect at one point)
No solution (lines are parallel)
Infinitely many solutions (lines coincide)
Methods of Solution
Elimination method
Substitution method
Graphical method
Matrix method
Calculator or computational tools
Elimination Method Example
Solve:
Multiply first equation by 2 and subtract from second: Subtract: Substitute back: Solution:
Substitution Method Example
Solve:
From first: Substitute into second: ,
Graphical Method Example
Solve:
Plot both lines; intersection point is the solution:
Word Problem Example
Cost of 6 trousers and 4 shirts is 37,200 Tshs. Cost of 4 trousers and 3 shirts is 25,500 Tshs. Find the cost of each.
Let = trousers, = shirts. Solution: ,
Inequalities
Definition and Properties
Inequality: A statement about the relative size of two values.
Symbol | Words | Example |
|---|---|---|
> | greater than | |
< | less than | |
≥ | greater than or equal to | |
≤ | less than or equal to |
Transformations Producing Equivalent Inequalities
Add/subtract the same number to both sides.
Multiply/divide both sides by a positive number (direction unchanged).
Multiply/divide both sides by a negative number (reverse the inequality direction).
Example: Solving an Inequality
Solve
Steps:
(reverse direction when dividing by negative)
Compound Inequalities
"And" inequalities: variable must satisfy both conditions.
"Or" inequalities: variable must satisfy at least one condition.
Example: "And" Compound Inequality
Solve
Steps:
Example: "Or" Compound Inequality
Solve or
First: ; Second:
Systems of Inequalities
The solution is the region where all inequalities overlap on the graph.
Example: ,
Graph both lines and shade the intersection region.
Linear Programming
Definition and Applications
Linear programming: A mathematical technique for optimizing (maximizing or minimizing) a linear objective function, subject to linear constraints.
Applications: resource allocation, manufacturing, finance, network design, etc.
Formulating a Linear Programming Problem
Define the objective (e.g., maximize profit, minimize cost).
Identify decision variables (e.g., number of tables and chairs).
List constraints (e.g., time, resources).
Write the objective function and constraints as equations/inequalities.
Example: Furniture Production
Department | Decision variable | Resource available |
|---|---|---|
Assembly | Tables: 4, Chairs: 2 | 60 |
Finishing | Tables: 2, Chairs: 4 | 48 |
Profits (Tshs) | Tables: 6,500, Chairs: 4,500 |
Let = number of tables, = number of chairs
Objective function: Maximize
Constraints:
Solving by Graphical Method
Plot constraints on a Cartesian plane.
Identify the feasible region (satisfies all constraints).
Find coordinates of extreme points (vertices) of the feasible region.
Evaluate the objective function at each vertex.
The optimal solution is at the vertex with the highest (or lowest) value, depending on the problem.
Functions
Definition and Notation
A function is a correspondence between two sets, where each input (domain) has exactly one output (range).
Notation: ,
Example:
Examples of Functions
Determining if an Equation is a Function
Each must correspond to only one .
Equations like are not functions (one gives two values).
Domain and Range
Domain: Set of all possible input values ().
Range: Set of all possible output values ().
Example: For , domain and range are all real numbers.
Graphing Functions
Find - and -intercepts.
Check for symmetry and asymptotes.
Determine maximum or minimum values (for quadratics, use vertex formula).
Common Types of Functions
Polynomial functions (constant, linear, quadratic, etc.)
Rational functions
Step functions
Periodic functions
Absolute value functions
Exponential and logarithmic functions
Trigonometric functions
Linear Functions
Form:
Graph is a straight line.
Domain and range: all real numbers.
Quadratic Functions
Form: ,
Graph is a parabola (opens up if , down if ).
Vertex (maximum or minimum):
Application Example: Cost and Revenue
Cost function:
Revenue function:
Intersection points: solve
Applications of Linear and Quadratic Functions
Supply and Demand:
Demand function:
Supply function:
Equilibrium: set and solve for
Break-even analysis: Find where cost equals revenue.