Growth/Decay Series: Deriving C=C1*r^n & C1*(1-r)^n

  • Thread starter Thread starter Swapnil
  • Start date Start date
  • Tags Tags
    Series
AI Thread Summary
The discussion focuses on deriving the formulas for growth and decay in a series, specifically C = C1 * r^n for growth and C = C1 * (1 - r)^n for decay. It clarifies that growth at a rate of r means multiplying by r for each time period n, while decay involves multiplying by (1 - r). An example illustrates how an initial amount of $100 grows at a 5% rate, leading to a formula A_n = A_0 * (1 + r)^n. The derivation process involves recursive relationships, showing how each term builds upon the previous one. Understanding these concepts is essential for accurately modeling growth and decay scenarios.
Swapnil
Messages
459
Reaction score
6
If "C" starts with initial value "C1" and it grows or decays at the rate of "r" every "n" time, then the function that models the growth or the decay of "C" is C = C_1\cdot {(r)}^n and C = C_1\cdot {(1-r)}^n, respectively. I know this makes sense but how do you derive such a forumla?
 
Mathematics news on Phys.org
Swapnil said:
If "C" starts with initial value "C1" and it grows or decays at the rate of "r" every "n" time, then the function that models the growth or the decay of "C" is C = C_1\cdot {(r)}^n and C = C_1\cdot {(1-r)}^n, respectively. I know this makes sense but how do you derive such a forumla?
Well let us do this by using some figures.

Lets say we have $100, and it increases in value at 5% per year.
C_1=100
r=1.05

Using
C = C_1\cdot {(r)}^n

Therefore
C = 100\cdot {(1.05)}^n

After one year it is
C=105

and so on...

Hopefully that helps
 
The way you have phrased it: " grows or decays at the rate of "r" every "n" times" your equations are not correct. "Growing at the rate of r" means "multiplied by r". "Every n times" means that that happens every nth step- everytime the variable, t say, is a multiple of n, there is another "whole" multiplication. If n= 5 and t= 15, there have been t/n= 15/5= 3 multiplications. taking t/n for general values of n allows for fractional periods. The formula for process that "increases or decreases by rate r every nth[/b] time" is
Cr^{t/n} or C(1-r)^{t/n}

If you mean "grows or decays at the rate r for a total of n times, then you are multiplying C by r (or 1- r) repeatedly: C, (C)r= Cr, (Cr)r= Cr2, (Cr2)r= Cr3, etc. The general term is Crn for growth and C(1- r)n for decay.
 
Sorry, its hard to put these things in words for me. Let me explain my question with the aid of an example that Random333 gave.

Say you have $100 dollars in a bank. It increases at the rate of 0.05 every year.

So at the end of the 1st year, the amount is:

A_1 = 100 + 0.05*100 = 105

and at the end of the 2nd, 3rd, and 4th year the amount, respectively, is:

A_2 = 105 + 0.05*105 = 110.25

A_3 = 110.25 + 0.05*110.25 = 115.7625

A_4 = 115.7625 + 0.05*115.7625 = 121.550625

My question is that how can we model this growth by the following formula:

A_n = A_0 (1+r)^n

I mean, how did they derived such a formula?
 
Well, you have the relationship A_n = A_{n-1} * (1+r), right? Well then, you can plug in that same formula for A_{n-1} and get

A_n = (A_{n-2}*(1+r))*(1+r)=A_{n-2}*(1+r)^2

and more generally,

A_n = A_{n-m}*(1+r)^m

Plugging in n for m gives

A_n = A_{n-n}*(1+r)^n=A_0 *(1+r)^n
 
Thread 'Video on imaginary numbers and some queries'
Hi, I was watching the following video. I found some points confusing. Could you please help me to understand the gaps? Thanks, in advance! Question 1: Around 4:22, the video says the following. So for those mathematicians, negative numbers didn't exist. You could subtract, that is find the difference between two positive quantities, but you couldn't have a negative answer or negative coefficients. Mathematicians were so averse to negative numbers that there was no single quadratic...
Insights auto threads is broken atm, so I'm manually creating these for new Insight articles. In Dirac’s Principles of Quantum Mechanics published in 1930 he introduced a “convenient notation” he referred to as a “delta function” which he treated as a continuum analog to the discrete Kronecker delta. The Kronecker delta is simply the indexed components of the identity operator in matrix algebra Source: https://www.physicsforums.com/insights/what-exactly-is-diracs-delta-function/ by...
Thread 'Unit Circle Double Angle Derivations'
Here I made a terrible mistake of assuming this to be an equilateral triangle and set 2sinx=1 => x=pi/6. Although this did derive the double angle formulas it also led into a terrible mess trying to find all the combinations of sides. I must have been tired and just assumed 6x=180 and 2sinx=1. By that time, I was so mindset that I nearly scolded a person for even saying 90-x. I wonder if this is a case of biased observation that seeks to dis credit me like Jesus of Nazareth since in reality...
Back
Top