Functions are like building blocks that can be reshaped and moved around. In this section, we'll learn how to transform these blocks by shifting, stretching, and flipping them. These tricks let us create new functions from old ones, opening up a world of possibilities.

Understanding transformations is key to mastering functions and graphs. We'll explore how simple changes to a function's equation can dramatically alter its graph. This knowledge will help us model real-world situations and solve complex problems more easily.

Transformations of Functions

Vertical and Horizontal Shifts

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Top images from around the web for Vertical and Horizontal Shifts
  • Vertical shifts move the graph of a function up or down by a constant value
    • Represented by adding or subtracting a constant to the output of the function
      • [f(x) + k](https://www.fiveableKeyTerm:f(x)_+_k) or f(x)kf(x) - k, where kk is the
    • Example: f(x)=x2+3f(x) = x^2 + 3 shifts the graph of y=x2y = x^2 up by 3 units
  • Horizontal shifts move the graph of a function left or right by a constant value
    • Represented by adding or subtracting a constant to the input of the function
      • f(x+h)f(x + h) or [f(x - h)](https://www.fiveableKeyTerm:f(x_-_h)), where hh is the
    • Example: f(x)=(x2)2f(x) = (x - 2)^2 shifts the graph of y=x2y = x^2 to the right by 2 units
  • The order of operations for vertical and horizontal shifts is important
    • Horizontal shifts are applied first, followed by vertical shifts
    • Example: f(x)=(x1)2+2f(x) = (x - 1)^2 + 2 shifts the graph of y=x2y = x^2 to the right by 1 unit and then up by 2 units
  • Vertical and horizontal shifts can be combined to create more complex transformations of functions

Combining Transformations

  • Multiple transformations can be combined to create more complex functions and their graphs
    • The order of operations for combining transformations is: , , horizontal shifts, and then vertical shifts
    • Example: f(x)=2(x+1)23f(x) = -2(x + 1)^2 - 3 reflects y=x2y = x^2 across the x-axis, stretches it vertically by a factor of 2, shifts it to the left by 1 unit, and then shifts it down by 3 units
  • When combining transformations, consider how each transformation affects the graph of the function and how they interact with each other
  • The equation of a can be written by applying the transformations to the original function in the correct order
    • Example: A function f(x)f(x) with a vertical stretch of 2, a horizontal shift of +3, and a vertical shift of -1 would be written as 2f(x3)12f(x-3) - 1
  • Combining transformations can be used to model real-world situations and create more complex mathematical models

Shifting Graphs

Identifying Shifts from Graphs

  • To determine the equation of a transformed function given its graph, identify the original function and then analyze the transformations applied to it
    • Look for vertical and horizontal shifts, reflections, and stretches
    • Example: If the graph of y=x3y = x^3 is shifted 2 units to the left and 1 unit down, the transformed function would be f(x)=(x+2)31f(x) = (x + 2)^3 - 1
  • Sketch the graph of the original function and then apply the transformations step-by-step to visualize the transformed function and verify the equation
  • Consider the and of the original function and how the transformations affect them

Identifying Shifts from Descriptions

  • When given a description of a transformed function, identify the original function and then apply the transformations in the correct order to write the equation
    • Pay attention to the specific values given for each transformation
    • Example: If f(x)=xf(x) = \sqrt{x} is shifted 3 units to the right and 2 units up, the transformed function would be f(x)=x3+2f(x) = \sqrt{x - 3} + 2
  • Sketch the graph of the original function and then apply the transformations step-by-step to visualize the transformed function and verify the equation
  • Consider the domain and range of the original function and how the transformations affect them

Reflections and Stretches

Reflections

  • Reflections flip the graph of a function across an axis
    • A reflection across the x-axis is represented by negating the output of the function
      • f(x)-f(x)
      • Example: f(x)=x2f(x) = -x^2 reflects the graph of y=x2y = x^2 across the x-axis
    • A reflection across the y-axis is represented by negating the input of the function
      • f(x)f(-x)
      • Example: f(x)=(x)3f(x) = (-x)^3 reflects the graph of y=x3y = x^3 across the y-axis
  • Reflections are applied first when combining transformations

Stretches

  • Vertical stretches elongate or compress the graph of a function vertically by a constant factor
    • Represented by multiplying the output of the function by a constant
      • af(x)a \cdot f(x), where a>1|a| > 1 stretches the graph vertically and 0<a<10 < |a| < 1 compresses the graph vertically
      • Example: f(x)=3x2f(x) = 3x^2 stretches the graph of y=x2y = x^2 vertically by a factor of 3
  • Horizontal stretches elongate or compress the graph of a function horizontally by a constant factor
    • Represented by dividing the input of the function by a constant
      • f(x/b)f(x/b), where b>1|b| > 1 compresses the graph horizontally and 0<b<10 < |b| < 1 stretches the graph horizontally
      • Example: f(x)=x/2f(x) = \sqrt{x/2} stretches the graph of y=xy = \sqrt{x} horizontally by a factor of 2
  • The order of operations for reflections and stretches is important
    • Reflections are applied first, followed by stretches

Equations of Transformed Functions

Writing Equations of Transformed Functions

  • To write the equation of a transformed function, apply the transformations to the original function in the correct order
    • Reflections, stretches, horizontal shifts, and then vertical shifts
    • Example: If f(x)=xf(x) = |x| is reflected across the x-axis, stretched vertically by a factor of 2, shifted 1 unit to the right, and shifted 3 units down, the transformed function would be f(x)=2x13f(x) = -2|x - 1| - 3
  • Pay attention to the specific values given for each transformation
  • Verify the equation by sketching the graph of the original function and applying the transformations step-by-step

Analyzing Transformed Functions

  • Consider the domain and range of the original function and how the transformations affect them
    • Example: If f(x)=xf(x) = \sqrt{x} is shifted 2 units to the left, the domain of the transformed function would be x2x \geq -2
  • Analyze the key features of the transformed function, such as intercepts, asymptotes, and intervals of increasing or decreasing
    • Example: If f(x)=1xf(x) = -\frac{1}{x} is stretched vertically by a factor of 3 and shifted 1 unit up, the transformed function f(x)=3x+1f(x) = -\frac{3}{x} + 1 would have a horizontal asymptote at y=1y = 1 and a vertical asymptote at x=0x = 0
  • Use the equation of the transformed function to solve problems and model real-world situations

Key Terms to Review (24)

Af(x): The expression af(x) represents a transformation of the function f(x) by a vertical scaling factor 'a'. This transformation stretches or compresses the graph of f(x) vertically depending on the value of 'a'. When 'a' is greater than 1, the graph stretches away from the x-axis, while a value between 0 and 1 compresses the graph towards the x-axis. Understanding this transformation is essential for analyzing how functions behave under different conditions.
Amplitude: Amplitude refers to the maximum extent of a wave's oscillation or displacement from its equilibrium position, typically measured from the center line to the peak (or trough) of the wave. In functions, particularly those related to periodic behavior, amplitude plays a vital role in determining how tall or short a wave appears on a graph, influencing the overall shape and characteristics of the function. It is especially significant when discussing transformations and adjustments made to trigonometric functions, as it directly affects their vertical stretch or compression.
Domain: In mathematics, the domain of a function is the complete set of possible values of the independent variable(s) that can be input into the function without causing any mathematical issues, such as division by zero or taking the square root of a negative number. Understanding the domain is essential for grasping the overall behavior of functions, and it plays a significant role when discussing properties, transformations, and piecewise definitions of functions. Identifying the domain helps in predicting the output and analyzing the graphical representation of functions.
F(x - h): The expression f(x - h) represents a transformation of the function f(x) where the graph of the function is shifted horizontally. Specifically, when h is a positive value, the graph shifts to the right by h units, while if h is negative, it shifts to the left. This transformation is crucial for understanding how functions behave under various modifications, impacting their graphical representation and analysis.
F(x) + k: The expression f(x) + k represents a vertical transformation of the function f(x), where the graph of the function is shifted vertically by k units. If k is positive, the graph moves upwards, and if k is negative, the graph shifts downwards. This transformation affects the range of the function while leaving the x-values unchanged, allowing for an easier understanding of how functions can be manipulated in a coordinate plane.
Function mapping: Function mapping refers to the process of associating every element in one set, called the domain, with exactly one element in another set, known as the codomain. This concept is crucial when discussing transformations of functions, as it illustrates how various modifications, such as translations or reflections, affect the output values based on changes in the input values. Understanding function mapping allows one to visualize and predict the behavior of transformed functions effectively.
G(x) = f(x) + 3: The equation g(x) = f(x) + 3 represents a vertical translation of the function f(x) by 3 units upwards. This means that for every point on the graph of f(x), the corresponding point on the graph of g(x) will be 3 units higher. This transformation is a key concept in understanding how the graphs of functions can be altered through shifts, which is essential for analyzing function behavior and relationships.
Graphing transformations: Graphing transformations refer to the various ways in which the graph of a function can be altered through specific operations such as shifting, reflecting, stretching, or compressing. These transformations provide a systematic approach to understanding how changes in a function's equation affect its graphical representation, making it easier to visualize and predict the behavior of functions.
H(x) = 2f(x): The equation h(x) = 2f(x) represents a vertical scaling transformation of the function f(x), where the output values of f(x) are multiplied by 2. This means that every point on the graph of f(x) is stretched away from the x-axis, effectively doubling its height while maintaining its shape and horizontal position. Understanding this transformation is essential for analyzing how changes in function parameters affect graph behavior.
Horizontal shift: A horizontal shift refers to the transformation of a function where the graph of the function moves left or right along the x-axis. This transformation occurs without altering the shape of the graph, simply changing the input values that correspond to each output value. The direction of the shift is determined by the sign of the constant added or subtracted inside the function's argument; a positive constant shifts the graph to the left, while a negative constant shifts it to the right.
Linear Functions: Linear functions are mathematical expressions that create straight lines when graphed on a coordinate plane. They can be represented in the slope-intercept form, which is written as $$y = mx + b$$, where $$m$$ represents the slope of the line and $$b$$ is the y-intercept. These functions maintain a constant rate of change, meaning for every unit increase in the input (x-value), there is a consistent increase or decrease in the output (y-value).
One-to-One Function: A one-to-one function is a type of function where each input is mapped to a unique output, meaning that no two different inputs produce the same output. This property is crucial because it ensures that the function has an inverse that is also a function. Understanding one-to-one functions helps in analyzing how transformations affect functions and can influence the behavior of graphs when reflecting or translating them.
Parent Function: A parent function is the simplest form of a set of functions that shares the same characteristics or properties. It serves as a foundational template from which more complex functions can be derived through transformations such as shifts, stretches, and reflections. Understanding the parent function helps in analyzing and predicting the behavior of related functions by providing a baseline for comparison.
Period: The period of a function is the length of the smallest interval over which the function repeats its values. This concept is essential in understanding how functions behave, particularly in periodic functions like sine and cosine, where the values recur after a specific interval. Recognizing the period helps in graphing functions and analyzing their transformations, as it determines how frequently the function oscillates or cycles.
Quadratic functions: A quadratic function is a polynomial function of degree two, generally expressed in the form $$f(x) = ax^2 + bx + c$$, where $a$, $b$, and $c$ are constants, and $a \neq 0$. This type of function produces a parabolic graph that opens either upwards or downwards depending on the sign of the coefficient $a$. The characteristics of the graph, including its vertex, axis of symmetry, and intercepts, can be influenced by transformations such as shifts and reflections.
Range: Range refers to the set of possible output values of a function, derived from the inputs in its domain. It represents all the values that a function can take, showcasing the extent or spread of the output data. Understanding range is crucial for determining function behavior, analyzing transformations, and interpreting data distributions.
Reflections: Reflections are transformations that create a mirror image of a function across a specified line, typically the x-axis or y-axis. This process alters the function's graph by flipping it over the axis of reflection, changing the sign of the coordinates while preserving the overall shape. Understanding reflections is crucial for analyzing how functions behave under different transformations and how these changes relate to their original forms.
Shrinking: Shrinking refers to the transformation of a function that reduces its output values and consequently compresses the graph vertically. This transformation is achieved by multiplying the function by a factor between 0 and 1, leading to a decrease in the height of the graph without altering its horizontal position. Understanding shrinking helps visualize how functions can be adjusted in size, making it crucial for grasping broader concepts of function transformations.
Stretches: Stretches refer to transformations of a function that alter its vertical or horizontal scale, effectively stretching or compressing the graph along the axes. This transformation can significantly change the appearance and behavior of a function's graph, making it crucial to understand how stretches impact various features such as amplitude, period, and intercepts.
Symmetry: Symmetry refers to the property where a shape, object, or function exhibits balance and proportion such that one side mirrors the other. This concept is essential in various mathematical contexts, particularly when analyzing transformations of functions, as it helps identify patterns, invariances, and relationships within graphs.
Transformed function: A transformed function is a function that has been altered from its original form through various operations, such as shifting, stretching, compressing, or reflecting. These transformations modify the graph of the function while maintaining its fundamental characteristics. Understanding transformed functions is crucial for analyzing and predicting the behavior of functions in different contexts.
Trigonometric Functions: Trigonometric functions are mathematical functions that relate the angles of a triangle to the lengths of its sides. These functions, including sine, cosine, and tangent, are foundational in understanding periodic phenomena and are key to analyzing relationships in various fields, such as physics and engineering. Their properties and transformations allow for complex modeling of real-world situations.
Vertical Line Test: The vertical line test is a method used to determine whether a relation is a function. If any vertical line drawn on the graph of the relation intersects it at more than one point, then the relation is not a function. This test helps in identifying functions by checking if each input (or x-value) corresponds to exactly one output (or y-value). It connects to the properties of functions and transformations by emphasizing how these concepts can be visually represented in a graph.
Vertical Shift: A vertical shift refers to the upward or downward translation of a function on the Cartesian plane, achieved by adding or subtracting a constant to the function's output. This transformation modifies the function’s graph without altering its shape, merely relocating it vertically. Understanding vertical shifts is essential for comprehending how functions behave under transformations, which includes shifts, stretches, and reflections.
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