Mathematical Modeling

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Af(x)

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Mathematical Modeling

Definition

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.

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5 Must Know Facts For Your Next Test

  1. If 'a' is negative, the graph of af(x) will also reflect across the x-axis in addition to being stretched or compressed.
  2. 'a' can significantly affect the maximum and minimum values of the function, particularly for functions that have specific peaks or troughs.
  3. When 'a' equals 1, there is no transformation applied to f(x), meaning af(x) remains identical to f(x).
  4. The y-intercept of the transformed function af(x) will also change based on the value of 'a', impacting where the graph crosses the y-axis.
  5. Vertical transformations like af(x) do not affect the x-values where the function intersects the x-axis; those remain unchanged.

Review Questions

  • How does changing the value of 'a' in af(x) affect the vertical position of the function's graph?
    • Changing 'a' in af(x) directly affects how tall or short the graph appears. If 'a' is greater than 1, the graph stretches vertically, making it taller than f(x). Conversely, if 'a' is between 0 and 1, it compresses vertically, making it shorter. If 'a' is negative, it reflects across the x-axis as well, altering its overall appearance.
  • Analyze how a vertical stretch or compression modifies key features of a function's graph such as its intercepts and extrema.
    • A vertical stretch or compression changes how high or low the graph reaches at its maximum and minimum points but does not alter where it crosses the x-axis. The y-intercepts will change based on 'a', affecting where the graph starts on the y-axis. Understanding these shifts helps in predicting how a function behaves and locating important characteristics after transformation.
  • Evaluate a real-world scenario where applying af(x) would be beneficial to represent data accurately, highlighting the impact of different values of 'a'.
    • In a situation where you are modeling population growth over time using a function f(x), applying af(x) allows you to simulate different growth scenarios. If you set 'a' to 2, it could represent an environment with abundant resources leading to rapid population increase (vertical stretch). Conversely, setting 'a' to 0.5 could illustrate a limited resource scenario causing slower growth (vertical compression). This approach not only enhances visual representation but also provides insight into potential outcomes under varying conditions.

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