Problem 60
Question
Describe the effect of changing the values of \(h\) and \(k\) in the equation \(y=2^{x-h}+k\)
Step-by-Step Solution
Verified Answer
Changing \( h \) causes horizontal shifts, while changing \( k \) causes vertical shifts.
1Step 1: Understanding the Base Function
The base function is given as \( y = 2^x \). This is an exponential function that grows rapidly as \( x \) increases. The graph of \( y = 2^x \) starts from point (0, 1) and continuously rises to the right.
2Step 2: Effect of Changing \( h \)
The \( h \) value in the function \( y = 2^{x-h} + k \) represents a horizontal shift. If \( h \) is positive, the graph shifts \( h \) units to the right. If \( h \) is negative, the graph shifts \( |h| \) units to the left.
3Step 3: Effect of Changing \( k \)
The \( k \) value in the function \( y = 2^{x-h} + k \) represents a vertical shift. If \( k \) is positive, the graph shifts \( k \) units upwards. If \( k \) is negative, the graph shifts \( |k| \) units downwards.
4Step 4: Combined Transformations
By changing \( h \) and \( k \) simultaneously, the graph undergoes both horizontal and vertical transformations. The basic shape of the graph remains unchanged, which is an exponential curve, but its position on the coordinate plane is altered.
Key Concepts
Horizontal ShiftsVertical ShiftsTransformations in Graphs
Horizontal Shifts
In the context of exponential functions, understanding horizontal shifts is key to graph transformation. The equation given is \( y = 2^{x-h} + k \). Here, the variable \( h \) determines the horizontal shift.
This does not affect the \( y \)-values of the graph, only where those points are plotted along the \( x \)-axis. Horizontal shifts are often used to align graphs with particular points or features in real-world applications.
- If \( h \) is positive, the graph moves \( h \) units to the right. This means, for each point on the base graph \( y = 2^x \), its corresponding point will now be located \( h \) units to the right on the \( x \)-axis.
- If \( h \) is negative, you shift the graph \(|h|\) units to the left. Each point is effectively moved obstacles \( |h| \) units back on the \( x \)-axis.
This does not affect the \( y \)-values of the graph, only where those points are plotted along the \( x \)-axis. Horizontal shifts are often used to align graphs with particular points or features in real-world applications.
Vertical Shifts
Vertical shifts are the adjustments where the values of \( k \) come into play in the equation \( y = 2^{x-h} + k \). While horizontal shifts move the graph side-to-side, vertical shifts move the graph up and down along the \( y \)-axis.
Unlike horizontal shifts, vertical shifts affect the range of the function because they change the output value (\( y \)-values). They are valuable for graph alignment and modeling scenarios where a baseline needs adjustment.
- When \( k \) is positive, the graph shifts \( k \) units upward, meaning each point on the graph is moved \( k \) units higher.
- Conversely, if \( k \) is negative, the entire graph moves \( |k| \) units downward, indicating a decrease in the \( y \)-value of every point.
Unlike horizontal shifts, vertical shifts affect the range of the function because they change the output value (\( y \)-values). They are valuable for graph alignment and modeling scenarios where a baseline needs adjustment.
Transformations in Graphs
Graph transformations are key aspects of analyzing how different values alter an exponential graph's position without changing its shape. With the formula \( y = 2^{x-h} + k \), transformations are illustrated through both horizontal shifts (determined by \( h \)) and vertical shifts (determined by \( k \)).
These transformations offer insights into real-world applications where data might need transitioning or repositioning while retaining core growth characteristics. This is beneficial in fields like computing where scaling and adjusting models according to datasets is required.
- Horizontal and vertical shifts are often used together to locate the graph in a desired position on the coordinate plane. Despite these shifts, the characteristic exponent shape of the graph remains the same.
- This means the rate of exponential growth does not change, but instead, where that growth occurs on the graph is adjusted.
- Understanding these transformations helps in graph interpretation, allowing you to predict and analyze changes in situations modeled by exponential functions.
These transformations offer insights into real-world applications where data might need transitioning or repositioning while retaining core growth characteristics. This is beneficial in fields like computing where scaling and adjusting models according to datasets is required.
Other exercises in this chapter
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