BackCollege Algebra Study Guide: Functions and Linear Models
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Modeling in Mathematics
Application Problems and Mathematical Modeling
Mathematical modeling involves translating real-world situations into mathematical equations to analyze and solve problems. This process is fundamental in college algebra, especially when dealing with application problems.
Defining Variables: Clearly identify what each variable represents in the context of the problem.
Setting Up Equations: Use relationships described in the problem to write equations involving the defined variables.
Solving Equations: Apply algebraic techniques to solve for the unknowns.
Contextualizing Answers: Interpret the solution in terms of the original problem, ensuring the answer makes sense in context.
Example: If a problem states, "A rental car costs $30 per day plus $0.20 per mile driven," let x be the number of miles driven. The total cost C can be modeled as .
Basics of All Functions
Definition and Identification of Functions
A function is a relation in which each input (domain value) corresponds to exactly one output (range value). Functions can be represented by equations, graphs, or tables.
Graphical Identification: Use the vertical line test—if any vertical line crosses the graph more than once, it is not a function.
Equation Identification: For an equation, check if each input yields only one output.
Example: is a function; is not (it describes a circle).
Domain and Range
The domain of a function is the set of all possible input values, and the range is the set of all possible output values.
Set-Builder Notation:
Interval Notation:
Example: For , domain is .
Intervals of Increasing, Decreasing, or Constant
Functions can be classified based on their behavior over intervals:
Increasing: Function values rise as input increases.
Decreasing: Function values fall as input increases.
Constant: Function values remain unchanged.
Use interval notation to describe these intervals, e.g., "f(x) is increasing on ".
Relative Minimums and Maximums
A relative minimum is a point where the function value is lower than at nearby points; a relative maximum is higher than at nearby points.
Identify these points graphically or algebraically.
State both the location (input value) and the value (output).
Example: For , the minimum is at , .
Evaluating Functions
Functions can be evaluated by substituting input values into the function rule.
Graphical Evaluation: Find the output value for a given input on the graph.
Algebraic Evaluation: Substitute the input into the function's formula.
Example: If , then .
Even and Odd Functions
Functions can be classified as even, odd, or neither based on their symmetry.
Even Function: for all in the domain (symmetric about the y-axis).
Odd Function: for all in the domain (symmetric about the origin).
Example: is even; is odd.
Linear Functions
Finding Linear Functions from Points
A linear function has the form , where is the slope and is the y-intercept.
Given two points and , calculate the slope:
Use the slope and one point to find :
Example: Points (1, 2) and (3, 6): , , so .
Linear Functions from Parallel or Perpendicular Lines
Parallel lines have equal slopes; perpendicular lines have slopes that are negative reciprocals.
Parallel: If a line has slope , a parallel line also has slope .
Perpendicular: If a line has slope , a perpendicular line has slope .
Use the given point to find the y-intercept.
Example: If a line has slope 3, a perpendicular line has slope .
Slope, Y-Intercept, and X-Intercept
For a linear equation :
Slope (): Rate of change of with respect to .
Y-Intercept (): Value of when .
X-Intercept: Value of when ; solve for .
Example: For , slope is 2, y-intercept is 3, x-intercept is .
Piecewise Functions
A piecewise function is defined by different expressions for different intervals of the domain.
Graph each piece over its specified interval.
Pay attention to open and closed endpoints.
Example:
Difference Quotient
The difference quotient is used to measure the average rate of change of a function over an interval and is foundational in calculus.
For a function , the difference quotient is:
Example: For , .