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Function of Exponential Growth is expressed by Exponential Growth Formula. It can be shown as a quantity that increases steadily at the start and then increases rapidly. One can say exponential growth is when a pattern of data increases with passing time by forming a curve of exponential growth. When the growth of a function increases in relation to the increase in total number it is called exponential. Exponential growth formula can be used to find compound interest, population growth and also doubling lines.
Also Read: Continuity and Differentiability
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Key Terms: Euler’s number, Exponential Growth Derivatives, Exponential Growth Curve, Differential Equation, Population growth, growth rate
Also Read: Logarithm Formula
Exponential Growth Formula
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Exponential growth formula is
X(t) = X0 ert
X(t) is the amount of some quantity at time t
X0 is the initial amount at time t
r is the growth rate
e is Euler’s number which is 2.71828
Exponential Growth Formula: \(\text{Final Value} = \text{Initial Value} \times (1 + \frac{\text{Annual Growth Rate}}{\text{No. of Compounding}})^{\text{No. of years} \times {\text {No. of compounding}}}\)
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Continuity and Differentiability Detailed Video Explanation:
Also Read: Differentiation and Integration Formula
Reformation of Log-linear Growth
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There is a variable x that exhibits exponential growth X(t) = Xo(1+x)t, then the log of x will grow linearly over time.
Log X(t) = log Xo + t . log (1+x)
This allows an exponentially growing variable to be modeled with a log-linear model.
Also Read: Limit formula
Differential Equation
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A differential equation contains one or more terms and derivatives of the dependent variable with respect to the independent variable.
dy/dx = f(x)
Here “x” is the independent variable and “y” is the dependent variable.
Also Read: Inverse Trigonometric Formulas
Limitations of Models
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In reality, initial exponential growth does not sustain forever. Even exponential growth models only apply within limit areas, as unbounded growth is not physically realistic. Previously ignored negative feedback factors can affect the growth curve. Other underlying assumptions of the exponential growth model, like continuity hindrance and instantaneous feedback, can lead to a breakdown.
Also Read: Integers As Exponents
Things to Remember
- Formula for exponential growth is X(t) = X0 ert
- e is Euler’s number which is 2.71828
- Exponential growth is when a pattern of data increases with passing time by forming a curve of exponential growth.
- The exponential growth formula can be used to seek compound interest, population growth and also doubling lines.
- Reformation of log- linear growth formula is Log X(t) = log Xo + t . log (1+x)
- Even exponential growth models only apply within limit areas, as unbounded growth is not physically realistic.
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Sample Questions
Ques. If you invest Rs 2500 in the bank which pays 10% interest per year compounded continuously. Discuss the value of the investment after 10 years? (3 Marks)
Ans. A = Pert
Substitute
P = 2500
r = 10% or 0.1
t = 10
e = 2.71828
Then, we have, A = 2500(2.71828)(0.1)10
A = 6795.70
So, the value of the investment after 10 years is Rs 6795.70.
Ques. If a population of a certain country grows at an annual rate of 4%. And the current population is 5 million, what will be the population in 15 years? (3 Marks)
Ans. If X (t) = X0 ert
Given is Xo = 5
r= 4%, which is 0.04
t = 15 years
Therefore X (15) = 5 x e0.04 x 15
Substituting Euler’s number, X (15) = 9.11059 million
Therefore the population in 15 years will be 9.11059 million.
Ques. If the number of bacteria in a culture doubles every hour. If there were 30 bacteria present in the culture initially, what will be the bacterial count at the end of 8th hour? (4 Marks)
Ans. The number of bacteria present in the culture doubles at the end of successive hours.
Since it grows at the constant ratio "2", the growth is based on geometric progression.
Use the formula given below to find the number of bacteria present at the end of the 8th hour.
A = abx
Substitute, a = 30
b = 2
x = 8
Then, we have
A = 30(28)
A = 30(256)
A = 7680
So, the number of bacteria at the end of the 8th hour is 7680.
Ques. A herd of llamas has 1000 llamas, and the population is growing exponentially. At time t=4 it has 2000 llamas. Form the formula for the number of llamas at arbitrary time t. (4 Marks)
Ans. Here there is no direct mention of differential equations, but the use of ‘growing exponentially’ must be taken as an indicator that we are talking about the situation
f(t)=cekt
If f(t) is the number of llamas at time t and c,k are constants to be determined from the information given in the problem. And the use of language should probably be taken to mean that at time t=0 there are 1000 llamas, and at time t=4 there are 2000.
Then, either repeating the method above or plugging into the formula derived by the method, we find
c= value of f at t=0 = 1000
k= lnf(t1)−lnf(t2) / t1−t2
=ln1000−ln2000 / 0−4
= ln (1000 / 2000) – 4
= ln (1/2) / -4
= ( ln 2)/4
Therefore, f(t) = 1000 e ((ln2)/4) t =1000⋅2t/4
This is the desired formula for the number of llamas at arbitrary time t.
Ques. A bacterial colony is growing exponentially. At time t=0 it has 10 bacteria in it, and at time t=4 it has 2000. At what time will it have 100,000 bacteria? (4 Marks)
Ans. We need to find the general formula for the number f(t) of bacteria at time t, and set this expression equal to 100,000 to solve t. We can take a little shortcut here since we know that c=f(0) and we are given that f(0)=10f. (This is easier than using the bulkier more general formula for finding c). And use the formula for k:
K = lnf(t1)−lnf(t2) / t1−t2
= ln10−ln2,000 / 0−4
= (ln(10/2,000))/ -4
= ln 200/ 4
Therefore, we have f(t)=10⋅e (ln200/4) t = 10⋅200t/4
as the general formula. Now we try to solve
100,000=10⋅e(ln200/4) t
for t: divide both sides by the 10 and take logarithms, to get
ln10,000= (ln200/4) t
Thus, t=4(ln10,000/ln200) ≈6.953407835.
Ques. Find dy/dx if x – y = π (3 Marks)
Ans. Rewrite the above as
y = x – π
But then dy/dx = 1
Alternatively, directly differentiating the relationship w.r.t., x, we have
d/ dx (x – y) = d π/ dx
d π/ dx means to differentiate the constant function taking value π everywhere w.r.t., x. Thus
d/dx(x) − d/ dx (y) = 0
which is equal to , dy/dx = dx/dx =1.
Ques. Two months prior Rima had 3 mice, she has now 18. (4 Marks)
1) Assuming the growth continues like that
2) What is the "k" value?
3) How many mice 2 Months from now?
4) How many mice 1 Year from now?
Ans. Start with the formula: y(t) = a × ekt
We know a=3 mice, t=2 months, and right now y(2)=18 mice: 18 = 3 × e2k
Now some algebra to solve for k, divide both sides by 3:6 = e2k
Take the natural Logarithm of both sides: ln(6) = ln(e2k)
ln(ex)=x, so:ln(6) = 2k
2k = ln(6)
Divide by 2:k = ln(6)/2
We can now put k = ln(6)/2 into our formula from before:
y(t) = 3 e(ln(6)/2)t
Now let's calculate the population in 2 more months (at t=4 months):
y(4) = 3 e(ln(6)/2)×4 = 108
And in 1 year from now (t=14 months):
y(14) = 3 e(ln(6)/2)×14 = 839,808
Ques. The half-life of caffeine in your body is about 6 hours. If you had 1 cup of coffee 9 hours ago how much is left in your system? (4 Marks)
Ans. y(t) = a × ekt
We know:
- a (the starting dose) = 1 cup of coffee!
- t is in hours
- at y(6) we have a 50% reduction (6 is the half-life)
So, 0.5 = 1 cup × e6k
Now some algebra to solve for k:
Take the natural logarithm of both sides: ln(0.5) = ln(e6k)
ln(ex)=x, so:ln(0.5) = 6k
6k = ln(0.5)
Divide by 6:k = ln(0.5)/6
Now we can write: y(t) = 1 e(ln(0.5)/6)×t
In 6 hours: y(6) = 1e(ln(0.5)/6)×6 = 0.5
And in 9 hours: y(9) = 1e(ln(0.5)/6)×9 = 0.35
After 9 hours the amount left in your system is about 0.35 of the original amount.
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