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College 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 , .

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