BackFundamental Concepts in College Algebra for Applied Economics
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Review of Algebra
Algebraic Expressions and Operations
This topic introduces the foundational elements of algebra, focusing on the manipulation and simplification of algebraic expressions, which are essential for solving equations and modeling economic phenomena.
Algebraic Expressions: Combinations of variables, numbers, and operations.
Operations: Addition, subtraction, multiplication, division, and exponentiation.
Example: Simplify to .
Equations & Inequalities
Linear and Quadratic Equations
Equations are mathematical statements that assert the equality of two expressions. Solving equations is a central skill in algebra, with applications in economics for modeling relationships and constraints.
Linear Equation: An equation of the form .
Quadratic Equation: An equation of the form .
Example: Solve ; .
Inequalities
Inequalities express the relative size of two values and are used to define ranges and constraints in economic models.
Linear Inequality: or .
Example: Solve ; .
Functions
Definition and Types of Functions
Functions describe relationships between variables, mapping inputs to outputs. They are fundamental in economics for modeling dependencies and changes.
Function: A rule that assigns each input exactly one output.
Types: Linear, quadratic, polynomial, rational, exponential, and logarithmic functions.
Example: is a linear function.
Polynomial Functions
Properties and Applications
Polynomial functions are expressions involving sums of powers of variables with coefficients. They are used to model various economic phenomena.
General Form:
Example:
Rational Functions
Definition and Analysis
Rational functions are ratios of polynomial functions and are used to model rates and proportions in economics.
General Form: where and are polynomials.
Example:
Exponential & Logarithmic Functions
Growth and Decay Models
Exponential and logarithmic functions model growth, decay, and compounding processes, which are central in financial mathematics and economics.
Exponential Function:
Logarithmic Function:
Example: Compound interest:
Systems of Equations & Matrices
Solving Linear Systems
Systems of equations are sets of equations with multiple variables. Matrices provide a compact way to represent and solve these systems, which are common in economic analysis.
System of Equations: Two or more equations with shared variables.
Matrix Representation:
Example: Solve , using matrices.
Conic Sections
Classification and Properties
Conic sections are curves obtained by intersecting a plane with a cone. They include circles, ellipses, parabolas, and hyperbolas, and have applications in optimization and modeling.
Types: Circle, ellipse, parabola, hyperbola.
General Equation:
Sequences, Series, & Induction
Arithmetic and Geometric Progressions
Sequences and series are ordered lists of numbers and their sums, respectively. Mathematical induction is a proof technique used to establish properties of sequences.
Arithmetic Sequence:
Geometric Sequence:
Example: Find the sum of the first terms of a geometric series:
Combinatorics & Probability
Counting Principles and Probability
Combinatorics deals with counting, arrangement, and combination of objects. Probability quantifies the likelihood of events, both of which are important in economic decision-making.
Permutation: ways to arrange objects.
Combination:
Probability:
Course Structure and Evaluation
Assessment Methods
The course includes periodic tests, assignments, and a final exam to assess understanding and application of algebraic concepts in economics.
Assessment Type | Weight |
|---|---|
First Test | 30% |
Second Test | 30% |
Assignments | 10% |
Final Exam | 30% |
Recommended Bibliography
Basic Texts: Mathematical methods for economics, Calculus for economics, Linear algebra and applications.
Additional info: The syllabus is designed for students in applied economics, but the mathematical content aligns closely with College Algebra topics.