Chapter 1: Linear Functions
Lesson 1: Parent Functions and Transformations
Function Families
Functions that belong to the same family share key characteristics
The parent function is the most basic in a family
Functions in the same family are transformations of their parent function
Interval notation uses symbols:
( -∞, ∞): all real numbers
{y}: represents a constant
Parent Functions:
Constant
Rule: f(x) = 1
Domain: All real numbers, ( -∞, ∞)
Range: y = 1, {1}
Linear
Rule: f(x) = x
Domain: All real numbers, ( -∞, ∞)
Range: All real numbers, ( -∞, ∞)
Absolute Value
Rule: f(x) = |x|
Domain: All real numbers, ( -∞, ∞)
Range: y ≥ 0, [0, ∞)
Quadratic
Rule: f(x) = x^2
Domain: All real numbers, ( -∞, ∞)
Range: y ≥ 0, [0, ∞)
Transformations
A transformation changes the size, shape, position, and orientation of a graph
A translation is a transformation that shifts a graph either horizontally and/or vertically but does not change its size, shape or orientation
A reflection flips a graph over a line of reflection
Multiplying all the y-coordinates by a factor other than one will create a vertical stretch or shrink; if the factor is greater than 1 it is a stretch; if it is less than 1 it is a shrink
Lesson 2: Transformations of Linear and Absolute Value Functions
Horizontal and Vertical Translations
Horizontal Translations
The graph of y = f(x - h) is a horizontal translation of the graph of y = f(x), where h ≠ 0
Subtracting h from the inputs before evaluating the function shifts the graph left when h < 0 and right when h > 0
Vertical Translations
The graph of y = f(x) + k is a vertical translation of the graph of y = f(x), where k ≠ 0
Adding k to the outputs before evaluating the function shifts the graph down when k < 0 and up when k > 0
Reflections in the Axes
Reflections in the x-Axis
The graph of y = -f(x) is a reflection in the x-axis of the graph of y = f(x)
Multiplying the outputs by -1 changes their signs
Reflections in the y-Axis
The graph of y = f(-x) is a reflection in the y-axis of the graph of y = f(x)
Multiplying the inputs by -1 changes their signs
Vertical and Horizontal Stretches and Shrinks
Vertical Stretches and Shrinks
The graph of y = a ⋅ f(x) is a vertical stretch or shrink by a factor of a of the graph of y = f(x), where a > 0 and a ≠ 1
Multiplying the outputs by a stretches the graph vertically (away from the x-axis) when a > 1, and shrinks the graph vertically (toward the x-axis) when 0 < a < 1
Horizontal Stretches and Shrinks
The graph of y = f(ax) is a horizontal stretch or shrink by a factor of 1/a of the graph of y = f(x), where a > 0 and a ≠ 1
Multiplying the inputs by a before evaluating the function stretches the graph horizontally (away from the y-axis) when 0 < a < 1, and shrinks the graph horizontally (toward the y-axis) when a > 1
Lesson 3: Modeling with Linear Functions
Linear Equations
Slope-Intercept Form
y = mx + b
Use when given slope m and y-intercept b
Point-Slope Form
y - y1 = m(x - x1)
Use when given slope m and a point (x1, y1)
When given points (x1, y1) and (x2, y2), use the slope formula to find slope m, then use point-slope form with either point
Slope Formula: (y2 - y1)/(x2 - x1)
Finding a Line of Fit
Step 1: Create a scatter plot of the data
Step 2: Sketch the line that most closely appears to follow the trend given by the data points; there should be about as many points above the line as below it
Step 3: Choose 2 points on the line and estimate the coordinates of each point; these points do not have to be original data points
Step 4: Write an equation of the line that passes through the two points from Step 3; this equation is a model for the data
You can also use a table and find 2 points and calculate the line of best fit from there
The line of best fit is the line that lies as close as possible to all of the data points
The correlation coefficient, denoted as r, is a number from -1 to 1 that measures how well a line fits a set of data pairs
When r is near 1, the points lie close to a line with a positive slope
When r is near -1, the points lie close to a line with a negative slope
When r is 0, the points do not lie close to the line
Lesson 4: Solving Linear Systems
Solutions of Systems
A linear equation in three variables x, y, and z is an equation of the form ax + by + cz = d, where a, b, and c are not all zero
A solution of such a system is an ordered triple (x, y, z) whose coordinates make each equation true
The graph of each system is a three-dimensional space; the graphs of three systems form a three-dimensional shape that shows the number of solutions for the systems
One Solution
The graphs intersect in a single point
Infinite Solutions
The planes intersect in a line; every point on the line is a solution
No Solution
There are no points in common with all three planes
Solving a Three-Variable System
Step 1: Rewrite the linear system in three variables as a linear system in two variables using the substitution or elimination method
Step 2: Solve the new linear system for both of its variables
Step 3: Substitute the values found in Step 3 into one of the original equations and solve for the remaining variable
When you obtain a false equation, such as 0 = 1, in any of the steps, the system has no solution
When you do not obtain a false solution, but obtain an identity such as 0 = 0, the system has infinite solutions
Lesson 1: Parent Functions and Transformations
Function Families
Functions that belong to the same family share key characteristics
The parent function is the most basic in a family
Functions in the same family are transformations of their parent function
Interval notation uses symbols:
( -∞, ∞): all real numbers
{y}: represents a constant
Parent Functions:
Constant
Rule: f(x) = 1
Domain: All real numbers, ( -∞, ∞)
Range: y = 1, {1}
Linear
Rule: f(x) = x
Domain: All real numbers, ( -∞, ∞)
Range: All real numbers, ( -∞, ∞)
Absolute Value
Rule: f(x) = |x|
Domain: All real numbers, ( -∞, ∞)
Range: y ≥ 0, [0, ∞)
Quadratic
Rule: f(x) = x^2
Domain: All real numbers, ( -∞, ∞)
Range: y ≥ 0, [0, ∞)
Transformations
A transformation changes the size, shape, position, and orientation of a graph
A translation is a transformation that shifts a graph either horizontally and/or vertically but does not change its size, shape or orientation
A reflection flips a graph over a line of reflection
Multiplying all the y-coordinates by a factor other than one will create a vertical stretch or shrink; if the factor is greater than 1 it is a stretch; if it is less than 1 it is a shrink
Lesson 2: Transformations of Linear and Absolute Value Functions
Horizontal and Vertical Translations
Horizontal Translations
The graph of y = f(x - h) is a horizontal translation of the graph of y = f(x), where h ≠ 0
Subtracting h from the inputs before evaluating the function shifts the graph left when h < 0 and right when h > 0
Vertical Translations
The graph of y = f(x) + k is a vertical translation of the graph of y = f(x), where k ≠ 0
Adding k to the outputs before evaluating the function shifts the graph down when k < 0 and up when k > 0
Reflections in the Axes
Reflections in the x-Axis
The graph of y = -f(x) is a reflection in the x-axis of the graph of y = f(x)
Multiplying the outputs by -1 changes their signs
Reflections in the y-Axis
The graph of y = f(-x) is a reflection in the y-axis of the graph of y = f(x)
Multiplying the inputs by -1 changes their signs
Vertical and Horizontal Stretches and Shrinks
Vertical Stretches and Shrinks
The graph of y = a ⋅ f(x) is a vertical stretch or shrink by a factor of a of the graph of y = f(x), where a > 0 and a ≠ 1
Multiplying the outputs by a stretches the graph vertically (away from the x-axis) when a > 1, and shrinks the graph vertically (toward the x-axis) when 0 < a < 1
Horizontal Stretches and Shrinks
The graph of y = f(ax) is a horizontal stretch or shrink by a factor of 1/a of the graph of y = f(x), where a > 0 and a ≠ 1
Multiplying the inputs by a before evaluating the function stretches the graph horizontally (away from the y-axis) when 0 < a < 1, and shrinks the graph horizontally (toward the y-axis) when a > 1
Lesson 3: Modeling with Linear Functions
Linear Equations
Slope-Intercept Form
y = mx + b
Use when given slope m and y-intercept b
Point-Slope Form
y - y1 = m(x - x1)
Use when given slope m and a point (x1, y1)
When given points (x1, y1) and (x2, y2), use the slope formula to find slope m, then use point-slope form with either point
Slope Formula: (y2 - y1)/(x2 - x1)
Finding a Line of Fit
Step 1: Create a scatter plot of the data
Step 2: Sketch the line that most closely appears to follow the trend given by the data points; there should be about as many points above the line as below it
Step 3: Choose 2 points on the line and estimate the coordinates of each point; these points do not have to be original data points
Step 4: Write an equation of the line that passes through the two points from Step 3; this equation is a model for the data
You can also use a table and find 2 points and calculate the line of best fit from there
The line of best fit is the line that lies as close as possible to all of the data points
The correlation coefficient, denoted as r, is a number from -1 to 1 that measures how well a line fits a set of data pairs
When r is near 1, the points lie close to a line with a positive slope
When r is near -1, the points lie close to a line with a negative slope
When r is 0, the points do not lie close to the line
Lesson 4: Solving Linear Systems
Solutions of Systems
A linear equation in three variables x, y, and z is an equation of the form ax + by + cz = d, where a, b, and c are not all zero
A solution of such a system is an ordered triple (x, y, z) whose coordinates make each equation true
The graph of each system is a three-dimensional space; the graphs of three systems form a three-dimensional shape that shows the number of solutions for the systems
One Solution
The graphs intersect in a single point
Infinite Solutions
The planes intersect in a line; every point on the line is a solution
No Solution
There are no points in common with all three planes
Solving a Three-Variable System
Step 1: Rewrite the linear system in three variables as a linear system in two variables using the substitution or elimination method
Step 2: Solve the new linear system for both of its variables
Step 3: Substitute the values found in Step 3 into one of the original equations and solve for the remaining variable
When you obtain a false equation, such as 0 = 1, in any of the steps, the system has no solution
When you do not obtain a false solution, but obtain an identity such as 0 = 0, the system has infinite solutions