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Your grandparents have an annuity. The value of the annuity increases each month as \(1 \%\) interest on the previous month's balance is deposited. Your grandparents withdraw $$\$ 1000$$ each month for living expenses. Currently, they have $$\$ 50,000$$ in the annuity. Model the annuity with a dynamical system. Find the equilibrium value. What does the equilibrium value represent for this problem? Build a numerical solution to determine when the annuity is depleted.

Short Answer

Expert verified
The equilibrium value is $100,000, indicating the balance that maintains itself. The annuity depletes after about 63 months.

Step by step solution

01

Define the Problem

We have an initial annuity balance of $50,000. Every month, the annuity earns 1% interest and $1000 is withdrawn. This can be represented by a dynamical system.
02

Create the Dynamical System

Let the annuity balance at month \(n\) be denoted by \(A_n\). The next month's balance can be represented by the equation \[ A_{n+1} = A_n + 0.01 A_n - 1000 \]Simplify this to:\[ A_{n+1} = 1.01A_n - 1000 \]
03

Calculate the Equilibrium Value

The equilibrium value is a balance where \(A_{n+1} = A_n\). Set up the equation:\[ A_e = 1.01A_e - 1000 \]Solving for \(A_e\), we have:\[ 0 = 0.01A_e - 1000 \]\[ 0.01A_e = 1000 \]\[ A_e = \frac{1000}{0.01} = 100,000 \]
04

Interpret the Equilibrium Value

The equilibrium value \(A_e = 100,000\) means that if the initial balance is $100,000, the annuity will not deplete over time as the interest covers the withdrawal.
05

Build a Numerical Solution for Depletion

We begin with an initial balance of $50,000 and calculate the monthly balances using the formula: \[ A_{n+1} = 1.01A_n - 1000 \]Repeatedly apply this computation to determine when \(A_n\) becomes zero or negative.
06

Determine Duration until Depletion

Starting with \(A_0 = 50,000\), calculate successive values of \(A_n\) until the balance is zero. Through iterating, we find that the annuity will deplete after approximately 63 months.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Understanding Equilibrium Value in Dynamical Systems
The concept of an equilibrium value in the context of a dynamical system is crucial to understand. In simple terms, an equilibrium value is a fixed point where the system does not change if it starts at this point.
In the exercise with the annuity, the equilibrium value represents a balance where each month, the interest earned is exactly equal to the amount withdrawn. In mathematical terms, this is where
  • Annuity balance remains constant over time.
  • No net change occurs between monthly incomes and expenses.
The critical part of finding this equilibrium involves solving the equation where next month's balance (\(A_{n+1}\)) equals this month's balance (\(A_n\)).For the annuity problem, the equilibrium point occurs when the formula \[1.01A_e - 1000 = A_e\] leads to a balance \(A_e\) of \(100,000. This means if your grandparents' annuity starts with \)100,000, it will neither grow nor shrink, maintaining itself perfectly each month. This balance indicates a sustainable financial status under the given conditions.
Applying Numerical Solutions to Predict Outcomes
Numerical solutions help us solve problems where exact analytical solutions are difficult to obtain. They involve iterative calculations, often performed by computers, to approximate values within a system.
When dealing with the annuity problem, we approach it by:
  • Starting with a known initial value, here $50,000.
  • Applying a formula multiple times to simulate the system over time.
  • Observing how outputs evolve to make predictions.
Using the given annuity model, the balance update equation \(A_{n+1} = 1.01A_n - 1000\) serves as our predictive formula. By calculating the annuity balance month by month, we determine when the balance becomes zero or negative, signifying when the annuity is depleted. With our example, this continual updating shows depletion around 63 months. This simulation is key in financial planning, offering insights into how long funds will last under specific withdrawal and return conditions.
Interest Calculation in Financial Models
Interest calculation plays a significant role in financial models and can transform the long-term outlook of a financial product. In general, interest can either add to the growth of savings or magnify the cost of loans. For annuities or savings accounts, understanding interest helps anticipate how initial investments or repeated deposits accumulate over time.
For the annuity example:
  • Monthly interest accumulates at a rate of 1\%.
  • This is computed using the existing balance every month.
  • It contributes to the overall change in the annuity balance before considering withdrawals.
The effect of the interest can be captured by the equation \(A_{n+1} = 1.01A_n - 1000\), where the term 1.01 represents a 1\% increase each month due to interest.This simple yet powerful mechanism ensures every dollar gains value over time due to compounding, emphasizing the importance of time and rate on growing wealth. In practical scenarios like the annuity exercise, correctly estimating and utilizing interest rate effects can mean the difference between sustaining funds indefinitely or depleting them prematurely.

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Most popular questions from this chapter

The following data were obtained for the growth of a sheep population introduced into a new environment on the island of Tasmania. \({ }^{1}\) $$ \begin{array}{l|cccccc} \hline \text { Year } & 1814 & 1824 & 1834 & 1844 & 1854 & 1864 \\ \hline \text { Population } & 125 & 275 & 830 & 1200 & 1750 & 1650 \\ \hline \end{array} $$ Plot the data. Is there a trend? Plot the change in population versus years elapsed after 1814\. Formulate a discrete dynamical system that reasonably approximates the change you have observed.

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Suppose the spotted owls' primary food source is a single prey: mice. An ecologist wishes to predict the population levels of spotted owls and mice in a wildlife sanctuary. Letting \(M_{n}\) represent the mouse population after \(n\) years and \(O_{n}\) the predator owl population, the ecologist has suggested the model. $$ \begin{aligned} M_{n+1} &=1.2 M_{n}-0.001 O_{n} M_{n} \\ O_{n+1} &=0.7 O_{n}+0.002 O_{n} M_{n} \end{aligned} $$ The ecologist wants to know whether the two species can coexist in the habitat and whether the outcome is sensitive to the starting populations. Find the equilibrium values of the dynamical system for this predator-prey model. a. Compare the signs of the coefficients of the preceding model with the signs of the coefficients of the owls-hawks model in Example 3. Explain the sign of each of the four coefficients \(1.2,-0.001,0.7\), and \(0.002\) in terms of the predator-prey relationship being modeled. b. Test the initial populations in the following table and predict the long- term outcome: $$ \begin{array}{l|c|c} \hline & \text { Owls } & \text { Mice } \\ \hline \text { Case A } & 150 & 200 \\ \text { Case B } & 150 & 300 \\ \text { Case C } & 100 & 200 \\ \text { Case D } & 10 & 20 \\ \hline \end{array} $$ c. Now experiment with different values for the coefficients using the starting values given. Then try different starting values. What is the long- term behavior? Do your experimental results indicate that the model is sensitive to the coefficients? Is it sensitive to the starting values?

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