A. Explain the concept of "decay by a constant percent rate per unit interval."

Define the key terms, and provide an example to illustrate this concept.
B. Describe a real-world scenario in which a quantity undergoes decay
by a constant percent rate per unit interval relative to another. Explain
the significance of this scenario and why it is important to study such
situations.
C. Write an exponential decay equation to model the scenario you described
in Part B. Clearly define the variables and parameters used in the
equation.
D. Using your exponential decay equation from part C, create a table
to calculate the remaining quantity after a specified number of unit
intervals. Provide the numerical result and explain how you arrived at this
value.
E. Use the table you created in part D and graph the relationships between the
two quantities.

4 answers

A. Concept of "Decay by a Constant Percent Rate Per Unit Interval"

Definition of Key Terms:

  1. Decay: A process in which a quantity decreases over time. In this context, decay refers to the reduction in quantity at a specified rate.

  2. Constant Percent Rate: This implies that the quantity decreases by the same percentage during each time interval. For example, if something decays at a rate of 10%, it loses 10% of its current value in each time cycle.

  3. Unit Interval: The defined period over which the decay occurs. This could be one second, one hour, one day, etc., depending on the context of the scenario being studied.

Example: Suppose a radioactive substance has a decay rate of 5% per week. If we start with an initial amount of 100 grams, after the first week, the amount will be:

  • Week 1: \(100 \times (1 - 0.05) = 100 \times 0.95 = 95\) grams.
  • Week 2: \(95 \times (1 - 0.05) = 95 \times 0.95 = 90.25\) grams.

This process continues, with the substance retaining 95% of its quantity each successive week.


B. Real-World Scenario of Constant Percent Rate Decay

Scenario: Radioactive Material Decay

Radioactive materials decay over time at a constant percent rate. For instance, Carbon-14 isotopes have a half-life of approximately 5730 years, meaning that every 5730 years, half of the remaining Carbon-14 decays.

Significance: Understanding radioactive decay is critical in fields such as archaeology (carbon dating), nuclear medicine, radiation safety, and environmental science. By studying the decay rate, scientists can determine the age of ancient artifacts or assess the impact of radiation on living organisms, enabling informed decisions about health and safety.


C. Exponential Decay Equation

Equation: \[ N(t) = N_0 \times (1 - r)^t \]

Where:

  • \(N(t)\) = the remaining quantity at time \(t\).
  • \(N_0\) = the initial quantity of the substance (e.g., grams of a radioactive element).
  • \(r\) = decay rate (expressed as a decimal, e.g., 5% = 0.05).
  • \(t\) = the number of time intervals.

Example: For Carbon-14, if \(N_0 = 100\) grams and \(r = 0.05\) (5%), the equation would be: \[ N(t) = 100 \times (1 - 0.05)^t = 100 \times 0.95^t \]


D. Calculation of Remaining Quantity

Using the Equation from Part C, calculate the remaining quantity after various time intervals:

| Time Intervals (\(t\)) | Remaining Quantity (\(N(t)\)) | |-------------------------|----------------------------------| | 0 | \(100 \times 0.95^0 = 100\) | | 1 | \(100 \times 0.95^1 = 95\) | | 2 | \(100 \times 0.95^2 \approx 90.25\) | | 3 | \(100 \times 0.95^3 \approx 85.74\) | | 4 | \(100 \times 0.95^4 \approx 81.24\) | | 5 | \(100 \times 0.95^5 \approx 77.14\) |

Explanation: To find \(N(t)\) for each \(t\), we substitute the value of \(t\) into the equation \(N(t) = 100 \times 0.95^t\).


E. Graphing the Relationships

To graph the relationships between time and the remaining quantity, we plot the values from the table created in Part D.

  1. X-axis: Time intervals \(t\) (0 to 5)
  2. Y-axis: Remaining Quantity \(N(t)\)

As \(t\) increases, the quantity \(N(t)\) will show an exponential decay pattern, typically resembling a downward curve.

Graph Representation (Pseudocode):

  • Create a line graph using the points gathered:
import matplotlib.pyplot as plt

# Data for graphing
t_values = [0, 1, 2, 3, 4, 5] # Time intervals
N_values = [100, 95, 90.25, 85.74, 81.24, 77.14] # Remaining quantities

# Plotting
plt.plot(t_values, N_values, marker='o')
plt.title("Exponential Decay of Radioactive Material")
plt.xlabel("Time Intervals (t)")
plt.ylabel("Remaining Quantity (grams)")
plt.grid()
plt.show()

This code creates a visual representation, indicating how the quantity decays over time, reinforcing the understanding of the exponential nature of decay by a constant percent rate.

can you make the real world situation on part b about video games

B. Real-World Scenario of Constant Percent Rate Decay Related to Video Games

Scenario: Player Engagement in a Mobile Game

In mobile gaming, player engagement can often experience decay at a constant percent rate after initial download and play. For instance, a new mobile game might attract a large number of players when it launches, but the player base typically decreases over time as users lose interest, uninstall the game, or simply stop playing.

Example: Suppose a mobile game is launched and initially has 100,000 players. Studies or data may indicate that the game experiences a decay in its active player base at a rate of 10% per month.

Significance: Analyzing player engagement decay is crucial for game developers and marketers. Understanding how quickly players drop off helps developers identify potential issues with gameplay, social engagement, or monetization strategies. It allows them to implement strategies to retain players, create better content, and enhance the overall gaming experience. By addressing the factors leading to player decay, developers can prolong the game's life cycle and maximize revenue.


This adjustment to the scenario provides context in the realm of video games, focusing on player retention strategies and the impact of decay rates in the gaming industry. Would you like to continue with the subsequent parts (C, D, and E) based on this scenario?

Write an exponential decay equation to model the scenario you described
in Part B. Clearly define the variables and parameters used in the
equation.