A local bakery opened with new equipment worth 80,000 $10 years later the owners accountants Told them that their equipment had depreciated at a rate of 6% per year which equation would you use to create a sequel modeling the situation

9 answers

To model the depreciation of the bakery equipment over time, you can use the formula for exponential decay, which is often represented as:

\[ V(t) = V_0 \times (1 - r)^t \]

Where:

  • \( V(t) \) = the value of the equipment after \( t \) years
  • \( V_0 \) = the initial value of the equipment (in this case, $80,000)
  • \( r \) = the rate of depreciation (in this case, 6% or 0.06)
  • \( t \) = the number of years (which is 10 years in this scenario)

Substituting in the values, the equation for the value of the equipment after 10 years would be:

\[ V(10) = 80,000 \times (1 - 0.06)^{10} \]

Simplifying this gives:

\[ V(10) = 80,000 \times 0.94^{10} \]

You can calculate \( 0.94^{10} \) to find the value of the equipment after 10 years.

So that would be an=80,000(0.94)^n

Yes, that's correct!

The equation you provided:

\[ a_n = 80,000 \times (0.94)^n \]

represents the value of the equipment after \( n \) years, where:

  • \( a_n \) is the value of the equipment after \( n \) years,
  • \( 80,000 \) is the initial value of the equipment,
  • \( 0.94 \) is the decay factor reflecting a 6% annual depreciation (since \( 1 - 0.06 = 0.94 \)),
  • \( n \) is the number of years.

This equation models the exponential decay of the equipment's value over the years due to depreciation. You can use this formula to calculate the value of the equipment for any number of years \( n \). For example, on year 10 (where \( n = 10 \)), you can calculate the current value as discussed previously.

In a certain geographic location a herd of elephants is declining at a rate of 4% every year if there are currently 62 elephants in the herd Create an exponential decay function to model the problem but why represent the number of elephants after T. years

To model the declining population of the herd of elephants, you can use an exponential decay function similar to the one used for the depreciation of equipment.

The general form of the exponential decay function is:

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

Where:

  • \( N(t) \) = the number of elephants after \( t \) years
  • \( N_0 \) = the initial number of elephants (in this case, 62)
  • \( r \) = the rate of decline (in this case, 4% or 0.04)
  • \( t \) = the number of years

Substituting in the values for this situation, the equation becomes:

\[ N(t) = 62 \times (1 - 0.04)^t \]

This simplifies to:

\[ N(t) = 62 \times (0.96)^t \]

Explanation of the Variables:

  • \( N(t) \): This represents the number of elephants in the herd after \( t \) years.
  • \( N_0 = 62 \): The initial population of elephants in the herd.
  • \( r = 0.04 \): The rate of decline (4% per year).
  • \( t \): The number of years that have passed.

You can use this function to calculate the number of elephants in the herd after any number of years \( t \). For example, to find the population after 5 years, you would substitute \( t = 5 \) into the equation:

\[ N(5) = 62 \times (0.96)^5 \]

Complete the input output table And determine which graph matches the sequence of decay Rate of a specific species of bird modeled by the equation Y=4,060(.95)^t

The input For the table are 0, 5, 10, 15, 20

To complete the input-output table for the equation \( Y = 4,060 \times (0.95)^t \), we will calculate the output \( Y \) for each input \( t \) value. Here’s how to do it step by step:

Given Equation:

\[ Y = 4,060 \times (0.95)^t \]

Input Values:

  • \( t = 0 \)
  • \( t = 5 \)
  • \( t = 10 \)
  • \( t = 15 \)
  • \( t = 20 \)

Calculating Output Values:

  1. For \( t = 0 \): \[ Y(0) = 4,060 \times (0.95)^0 = 4,060 \times 1 = 4,060 \]

  2. For \( t = 5 \): \[ Y(5) = 4,060 \times (0.95)^5 \approx 4,060 \times 0.77378 \approx 3,136.35 \]

  3. For \( t = 10 \): \[ Y(10) = 4,060 \times (0.95)^{10} \approx 4,060 \times 0.59874 \approx 2,428.85 \]

  4. For \( t = 15 \): \[ Y(15) = 4,060 \times (0.95)^{15} \approx 4,060 \times 0.46329 \approx 1,884.22 \]

  5. For \( t = 20 \): \[ Y(20) = 4,060 \times (0.95)^{20} \approx 4,060 \times 0.34868 \approx 1,415.25 \]

Summary of the Input-Output Table:

| Input (\(t\)) | Output (\(Y\)) | |--------------------|-------------------------| | 0 | 4,060 | | 5 | 3,136.35 | | 10 | 2,428.85 | | 15 | 1,884.22 | | 20 | 1,415.25 |

Determining the Graph:

The output values decrease as the input \( t \) increases, which indicates exponential decay. The graph that matches this pattern will show a smooth curve that starts at \( Y = 4,060 \) when \( t = 0 \) and gradually approaches zero as \( t \) increases.

To identify the correct graph, look for characteristics such as:

  • A starting point at about 4,060 on the Y-axis.
  • The graph should be decreasing, curving downwards.
  • The graph should not touch the X-axis (never quite reaches zero) and should have a horizontal asymptote at Y=0.

Make sure to compare the plotted points with your graph options to find the best match!

For exponential decay What is the horizontal asymptot?

In exponential decay functions, the horizontal asymptote is a line that the graph approaches but never actually touches or crosses as the independent variable (often represented as \( t \)) increases towards infinity.

For exponential decay functions of the form:

\[ y = a \cdot b^t \]

where \( 0 < b < 1 \) (indicating decay) and \( a \) is a positive constant, the horizontal asymptote is typically at:

\[ y = 0 \]

This means that as \( t \) increases, the value of \( y \) (the output), approaches 0 but never reaches it. In practical terms, it indicates that while the quantity is decreasing, there will always be some positive amount of the quantity remaining, no matter how far out along the horizontal axis you go.

Example:

For the specific exponential decay function you provided, \( Y = 4,060 \times (0.95)^t \):

  • The horizontal asymptote is at \( Y = 0 \).

As \( t \) increases, the output \( Y \) will decrease and approach 0 without ever actually reaching it.