Exponential functions - which is the better solution?

In summary, the town's population is growing at a rate of 6.5% per annum. To calculate the current population, the general approach formula A(t) = Per(t) should be used rather than the compound interest formula A = P(1+i)t, which is an over-simplification for this problem. This is because the general approach formula accounts for continual population growth, while the compound interest formula only assumes compounding at specific intervals.
  • #1
Tyrannosaurus_
41
2

Homework Statement


A town's population grows at 6.5% per annum. How many are in town now, if there will be 15 000 in 4.5 years?

Please explain which of these solutions is best. Or explain a better solution, please.

Homework Equations



A(t) = Per(t) <- general approach
A = P(1+i)t <- compound interest formula (is this too simplified?)

In both cases, A is the number of people at time, t. P is the current population (solving for P). The rate is r, or i. & e is Euler's number.

The Attempt at a Solution


Solution 1.
A(t) = Per(t)
15000 = Pe(0.065)(4.5)
P = (15000)/(e(0.065)(4.5))
P = 11 195.9287

Solution 2.
A = P(1+i)t
15000 = P(1.065)4.5
P = 15000/(1.0654.5)
P = 11 298.4280

Why the difference? Which solution is better? Is the compound interest formula an over-simplification?

Many thanks!
 
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  • #2
The compound interest formula assumes that interest is compounded only once (at the end of) every compounding interval. Therefore, putting in 4.5 for t in the second example isn't really valid. The "general approach" assumes that interest is being compounded continually. In the case of your population growth problem, the general approach is the appropriate formula to use, since children are being born continually, and the birth rate is proportional to the currently existing total population.
 
  • #3
I think the equation [itex] A=Pe^{rt} [/itex] comes from [itex] A=P(1+i/n)^{nt} [/itex] by finding the limit of A as n approaches infinity and using the fact that [itex] \lim_{n\rightarrow +\infty} (1+i/n)^n=e^i [/itex]. This is the definition of e.
 
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  • #4
If you want to make better use of the compound interest formula instead of the continuous growth formula, at least pick a large enough compounding period (and rate adjusted to that period).
 
  • #5
fakecop said:
I think the equation A=Pe^rt comes from A=P(1+i)^t by finding the limit of A as i approaches infinity and using the fact that e=limx->infinity (1+1/x)^x
No. This is not correct. The compound interest formula should be A = P(1+i/n)^nt, where i is the annual interest rate, and n is the number of compounding periods per year. So,
[itex]A=Pe^{ntln(1+i/n)}[/itex]. In the limit of large n, this approaches the continuous compounding formula [itex]A=Pe^{it}[/itex].
 
  • #6
Tyrannosaurus_ said:

Homework Statement


A town's population grows at 6.5% per annum. How many are in town now, if there will be 15 000 in 4.5 years?

Please explain which of these solutions is best. Or explain a better solution, please.

Homework Equations



A(t) = Per(t) <- general approach
A = P(1+i)t <- compound interest formula (is this too simplified?)

In both cases, A is the number of people at time, t. P is the current population (solving for P). The rate is r, or i. & e is Euler's number.

The Attempt at a Solution


Solution 1.
A(t) = Per(t)
15000 = Pe(0.065)(4.5)
P = (15000)/(e(0.065)(4.5))
P = 11 195.9287

Solution 2.
A = P(1+i)t
15000 = P(1.065)4.5
P = 15000/(1.0654.5)
P = 11 298.4280

Why the difference? Which solution is better? Is the compound interest formula an over-simplification?

Many thanks!

The difference is due to using a different value of 'r' in the two calculations. To match them up you need to use a "continuous" rate r that satisfies ##e^r = 1.065 \longrightarrow r \doteq 0.0629748.##
 
  • #7
Chestermiller said:
No. This is not correct. The compound interest formula should be A = P(1+i/n)^nt, where i is the annual interest rate, and n is the number of compounding periods per year. So,
[itex]A=Pe^{ntln(1+i/n)}[/itex]. In the limit of large n, this approaches the continuous compounding formula [itex]A=Pe^{it}[/itex].

Yes, I'll fix my mistake now.
 
  • #8
fakecop said:
Yes, I'll fix my mistake now.

That is not the issue. If 6.5% is the TRUE annual rate of increase, then r ≠ 0.065 in the exponential form. You need r ≈ 0.0629748 in order to have er = 1.065.
 
  • #9
Ray Vickson said:
That is not the issue. If 6.5% is the TRUE annual rate of increase, then r ≠ 0.065 in the exponential form. You need r ≈ 0.0629748 in order to have er = 1.065.

I think this is incorrect. The value of r never changes. It is always 6.5%, or 0.065. However, as you start to increase the compounding periods, the total amount at the end begins to increase. This is the formula that I was talking about previously: [itex] A=P(1+i/n)^{nt} [/itex] where n represents the compounding periods. Now, as n gets larger and larger (meaning you compound the money more and more often) the value of this approaches Pe^rt.

In brief, just because in the compounding formula the base of the exponent is 1.065 does not mean e^r should equal to 1.065. In fact, it should be greater than 1.065, because now you are compounding it more frequently.
 
  • #10
fakecop said:
I think this is incorrect. The value of r never changes. It is always 6.5%, or 0.065. However, as you start to increase the compounding periods, the total amount at the end begins to increase. This is the formula that I was talking about previously: [itex] A=P(1+i/n)^{nt} [/itex] where n represents the compounding periods. Now, as n gets larger and larger (meaning you compound the money more and more often) the value of this approaches Pe^rt.

In brief, just because in the compounding formula the base of the exponent is 1.065 does not mean e^r should equal to 1.065. In fact, it should be greater than 1.065, because now you are compounding it more frequently.


The problem stated clearly that "A town's population grows at 6.5% per annum", and I am inclined to treat that statement as meaning exactly what it says, viz., that the true annual growth rate is 6.5%. In other words, at the start of next year the population will be 6.5% higher than it was at the start of this year. That requires r = 0.0629478. I suppose in the context of a particular course/notes/textbook a different usage may have been employed, but without such information I will go with a plain English interpretation. The OP may know better---but in that case, the answer to the OP's question is still that the two rates don't match: if the annual growth is e0.065 - 1, then he/she needs to use an "interest rate" of r' = 6.7159% in the discrete-time model in order to get a match. And THAT is the answer to the OP's original question of why there is a difference.

This type of issue arises all the time in fields like Finance, when one switches from a discrete-time model to a continuous-time model. It is a very common source of student mistakes. On the other hand, sometimes the confusion/imprecision is built into a system. For example, when dealing with mortgage payment schemes, if the annual rate is, say 12%, that is treated as a monthly rate of 1%, compounded 12 times per annum. The true annual rate is thus actually more than the stated 12%.
 
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  • #11
Thanks for all the replies!

I'm going to go with the first reply. I'll use A(t) = Pert because babies are made continuously, not at the end of each year. This isn't a compound interest problem, it's a population growth problem.

In practical terms, I think the compound interest formula fails because a new born baby has not reached sexual maturity, and cannot contribute to the growth, yet. (Growth in the compounded sense, I suppose.)

I'm not a mathematician, I'm just a guy trying to learn some math. Thanks for the replies though.
 
  • #12
Tyrannosaurus_ said:
I'm going to go with the first reply. I'll use A(t) = Pert because babies are made continuously, not at the end of each year. This isn't a compound interest problem, it's a population growth problem.

In practical terms, I think the compound interest formula fails because a new born baby has not reached sexual maturity, and cannot contribute to the growth, yet. (Growth in the compounded sense, I suppose.)

I'm not a mathematician, I'm just a guy trying to learn some math. Thanks for the replies though.

I agree: it is not a compound interest problem, but the issue still remains: what value of 'r' should you use? My claim is that to match the problem description (in the context of continuous time) you need to use r = 6.29478% = 0.0629478 in the exponential formula. That will give you a true growth rate of 6% per year.
 

Related to Exponential functions - which is the better solution?

1. What are exponential functions and how do they work?

Exponential functions are mathematical functions that involve a constant raised to a variable power. They are commonly written in the form y = ab^x, where a is the initial value and b is the base. These functions can grow or decay at an increasingly fast rate, depending on the value of the base.

2. How are exponential functions used in real life?

Exponential functions are used to model various natural phenomena, such as population growth, radioactive decay, and compound interest. They are also commonly used in fields such as economics, physics, and biology to describe growth or decay processes.

3. What are the main differences between exponential and logarithmic functions?

The main difference between exponential and logarithmic functions is the way their variables are related. In exponential functions, the independent variable is in the exponent, while in logarithmic functions, the independent variable is the power to which the base is raised. Additionally, exponential functions grow or decay at an increasingly fast rate, while logarithmic functions grow or decay at a decreasing rate.

4. Which is the better solution for modeling growth - exponential or linear functions?

It depends on the situation. If the rate of growth is constant, linear functions may be a better solution. However, if the growth rate is increasing or decreasing, exponential functions are a better choice. It is important to consider the specific context and data when deciding which type of function to use.

5. Can exponential functions be used for negative values?

Yes, exponential functions can be used for negative values. However, if the base is a positive number, the result will always be positive. When the base is a negative number, the result can be positive or negative, depending on the exponent. In general, negative exponential functions represent decay or decrease, while positive exponential functions represent growth or increase.

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