There are many applications of geometric sequences such as compound interest , exponential growth of bacteria, exponential decay of radioactive elements. If an amount is increasing or decreasing by a constant factor at set time periods, the process can be considered as being geometric.
A particular application of interest is the growth of an investment due to compound interest. You may recall from Chapter 4 that the compound interest formula is A=P(1+r)^n. The form of this equation is very similar to the formula u_n= aR^{n - 1}.
The value of the investment after n time periods is defined by A . The principal P, which is the initial value of the investment, is equivalent to a the first term of a geometric sequence. The compound interest rate r is expressed as a percentage and added to 1 to give the common ratio of a geometric sequence.
An amount of \$2000 invested at a compound interest rate of 5\% per annum could be expressed as a geometric sequence with a=2000 and r=1.05.
Some conditions to note on compound interest:
If a quantity is increasing by r\%, you must multiply by (1+r\%) to find successive terms. The 1 represents 100\% of the original quantity and ensures that your calculation gives you the next term rather than just the amount by which it has increased.
If a given interest rate in a question is compounding at a different frequency, you will need to change both the rate and the time periods. For example, 8\% \text{ p.a.} compounding quarterly for three years becomes a rate of \dfrac{8}{4}=2\% per quarter and the number of time periods becomes 4\times3=12 quarters.
After receiving \$500 for her birthday, Hayley decides to spend 10\% of this money each week.
Find a model for B_n, the amount of birthday money she has left at the start of the nth week.
If instead of spending 10\%, Hayley decides to double her savings by setting aside an additional 10\% in savings each week. How long before she reaches her savings goal?
We can apply the concept of geometric sequences to situations that involve exponential growth or exponential decay.
When we describe a recursive rule we know that it requires two parts. Firstly the rule describing how the sequence recurs and secondly, the initial condition, describing where to start.
In previous chapters we have mainly used u_1 for the initial condition, referring to the first term of the sequence. However, sometimes it can be useful to use u_0 meaning the initial term. u_0 is particularly useful in financial questions and population questions where we start with an initial amount and then look for the amount in the days/weeks/month after that starting point.
For example, consider a situation where we start with \$100 and each week this amount increases by \$20. If we want to know how much we have after 5 weeks and we use the initial condition of u_0=100 then 5 weeks later is u_5 where as if we used the initial condition of u_1=100 then 5 weeks later is u_6, which can be a bit confusing. Both would give the same answer but using u_0 in this case makes the term number we are looking for match the number of weeks.
The average rate of depreciation of the value of a Ferrari is 14\% per year. A new Ferrari is bought for \$90 \, 000.
What is the car worth after 1 year?
What is the car worth after 3 years?
Write a recursive rule for V_{n+1}, defining the value of the car after n years.
Write both parts of the rule on the same line, separated by a comma.
The first blow of a hammer drives a post a distance of 64 \text{ cm} into the ground. Each successive blow drives the post \dfrac 34 as far as the preceding blow. In order for the post to become stable, it needs to be driven \dfrac{781}{4} \text{ cm} into the ground.
If n is the number of hammer strikes needed for the pole to become stable, find n.
We can use the convention u_0 for the situations where we start with an initial value and then look for the amount in the days/weeks/month after the starting point.