Math 1122 Lecture 3 Notes
Math 1122 Lecture 3 Notes
Review: Function Composition
Definition of Function:
Think of a function as a machine in a box that takes input, processes it, and produces output.
Example Function:
Let f(x) = 2x.
Combining Functions
Function Composition:
The notation for composing functions is written as fog, which means to apply g first and then apply f.
Composition is read right-to-left:
Example of Composition:
Let g(x) = x + 3.
Therefore, .
Step-by-Step Examples of Composition
Example 1:
Applying g:
Therefore, .
Example 2:
For :
.
Therefore, .
Consolidating Compositions
Function compositions can be simplified or combined.
Example:
From :
Find
Then, .
Identifying Patterns
Notice that in function composition, certain functional patterns repeat irrespective of prior or subsequent functions.
For a constant input-output relationship, the result will always remain consistent across compositions.
Graph Transformations
Impact of Composition on Graphs:
How function compositions alter graphs can sometimes be inferred directly.
Example Transformation:
If , there is a vertical stretch by a factor of 2.
This occurs because all output values are doubled.
Further Transformation:
If , this means the graph is stretched by a factor of 2 vertically and then shifted downwards by 1.
Order of Operations in Transformations
Graph transformations follow order-of-operations rules:
Operations on output values (after function) happen post-evaluation.
Example, if and , transformations affect the output as follows:
Reflect across the y-axis, and then stretch vertically by 2.
Transformation Before and After
Quick example with point evaluation:
Consider point .
Then, point transformation impacts will differ for .
Achieve outputs such as:
.
Evaluating h(x) = f(-2x + 5) Example
Important considerations arise when evaluating compositions like :
The inner function operations dictate output. First, evaluate:
Solve for input: and deduce .
Calculate the output: .
Understanding Input and Output Relationships
Remember that:
Plugging in values versus solving equations represent opposite operations within functions!
For instance, given :
Plugging in yields .
Conversely, solving for requires reversing this operation.
Shifting and Stretching Rules
Horizontal Shifts:
shifts left by k units, while shifts right, affecting x-values of graphs.
Stretching and Shrinking:
The effects of a scalar modification before an input operation can precondition results, such as with .
Capstone Example with Quadratics
Consider the function .
The transformations could be articulated by compositions like :
Analysis reveals a sequence of transformations:
Shift left by 5, flip horizontally, stretch horizontally by 2, stretch vertically by 3, and shift down by 3.