Differentiation of Exponential Functions

Exponential functions grow rapidly, and their derivatives help analyze rates of change in finance, physics, and natural sciences. Learn key differentiation techniques here.

Neetesh Kumar

Neetesh Kumar | February 08, 2025                                      \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space \space Share this Page on: Reddit icon Discord icon Email icon WhatsApp icon Telegram icon


Table of Content:


Definition of the derivative of Exponential Functions:

Exponential Function:
An exponential function is a function of the form: f(x)=abxf(x) = a \cdot b^x, then

f(x)=ddx(a.bx)=a.bx.ln(b)f'(x) = \dfrac{d}{dx}\big(a.b^x\big) = a.b^x .\ln(b)

where:

  • aa is a constant coefficient.
  • bb is a positive constant (base) greater than 0 and not equal to 1.
  • xx is the variable (exponent).

The function represents exponential growth or decay, depending on the value of the base bb.


Special Case:
When b=e2.718b = e \approx 2.718, the function is known as the natural exponential function and is denoted by:

f(x)=aexf(x) = a \cdot e^x

f(x)=ddx(a.ex)=a.ex.ln(e)=a.exf'(x) = \dfrac{d}{dx}\big(a.e^x\big) = a.e^x .\ln(e) = a.e^x

The derivative of an exponential function is particularly simple because the rate of change of exponential functions is proportional to their current value.


Explanation & Intuition:

  • Exponential functions are widely used to model growth and decay processes, such as population growth, radioactive decay, and compound interest.
  • These functions exhibit constant relative growth or decay. For example, in the case of population growth, the population size grows at a rate proportional to its current size.
  • The derivative of the natural exponential function f(x)=exf(x) = e^x is itself, which makes it unique: ddx(ex)=ex\dfrac{d}{dx}\big(e^x\big) = e^x

This property is particularly important in calculus, physics, and economics.


Derivative Examples with Solutions:

Example 1: Differentiating an Exponential Function

Differentiate f(x)=3e2xf(x) = 3e^{2x}.

Solution:

Using the chain rule and knowing the derivative of exe^x is exe^x, we differentiate:

f(x)=3e2xddx(2x)f'(x) = 3 \cdot e^{2x} \cdot \dfrac{d}{dx}(2x)

f(x)=3e2x2f'(x) = 3 \cdot e^{2x} \cdot 2

f(x)=6e2xf'(x) = 6e^{2x}

Thus, the final answer is: 6e2x\boxed{6e^{2x}}


Example 2: Modeling Compound Interest

The amount AA of money in an account is given by the formula:

A(t)=PertA(t) = P e^{rt}

where:

  • PP is the principal,
  • rr is the interest rate,
  • tt is the time in years.

Find the rate of change of the amount after 5 years if P=1000P = 1000 and r=0.05r = 0.05.

Solution:

To find the rate of change, differentiate A(t)=PertA(t) = P e^{rt} with respect to tt:

A(t)=Pertddt(rt)A'(t) = P \cdot e^{rt} \cdot \dfrac{d}{dt}(rt)

A(t)=PertrA'(t) = P \cdot e^{rt} \cdot r

Substitute the given values P=1000P = 1000, r=0.05r = 0.05, and t=5t = 5:

A(5)=1000e0.0550.05A'(5) = 1000 \cdot e^{0.05 \cdot 5} \cdot 0.05

A(5)=1000e0.250.05A'(5) = 1000 \cdot e^{0.25} \cdot 0.05

Using a calculator:

A(5)10001.2840.05A'(5) \approx 1000 \cdot 1.284 \cdot 0.05

A(5)64.2A'(5) \approx 64.2

Thus, the rate of change after 5 years is: 64.2\boxed{64.2} dollars per year.


Example 3: Radioactive Decay

The amount of a radioactive substance is modeled by the function:

N(t)=N0eλtN(t) = N_0 e^{-\lambda t}

where:

  • N(t)N(t) is the amount remaining at time tt,
  • N0N_0 is the initial amount,
  • λ\lambda is the decay constant.

Find the rate of decay at t=10t = 10 if N0=1000N_0 = 1000 and λ=0.1\lambda = 0.1.

Solution:

The rate of decay is given by the derivative:

N(t)=N0eλt(λ)N'(t) = N_0 e^{-\lambda t} \cdot (-\lambda)

Substitute the given values N0=1000N_0 = 1000, λ=0.1\lambda = 0.1, and t=10t = 10:

N(10)=1000e0.110(0.1)N'(10) = 1000 \cdot e^{-0.1 \cdot 10} \cdot (-0.1)

N(10)=1000e1(0.1)N'(10) = 1000 \cdot e^{-1} \cdot (-0.1)

Using a calculator:

N(10)10000.3679(0.1)N'(10) \approx 1000 \cdot 0.3679 \cdot (-0.1)

N(10)36.79N'(10) \approx -36.79

Thus, the rate of decay is: 36.79\boxed{-36.79} units per time.


Example 4: Exponential Growth in Population

The population of a species is modeled by:

P(t)=500e0.02tP(t) = 500 e^{0.02t}

where tt is the time in years. Find the rate of population growth at t=10t = 10.

Solution:

The rate of growth is the derivative of P(t)P(t):

P(t)=500e0.02t0.02P'(t) = 500 e^{0.02t} \cdot 0.02

Substitute t=10t = 10:

P(10)=500e0.02100.02P'(10) = 500 e^{0.02 \cdot 10} \cdot 0.02

P(10)=500e0.20.02P'(10) = 500 e^{0.2} \cdot 0.02

Using a calculator:

P(10)5001.2210.02P'(10) \approx 500 \cdot 1.221 \cdot 0.02

P(10)12.21P'(10) \approx 12.21

Thus, the rate of population growth at t=10t = 10 is: 12.21\boxed{12.21} individuals per year.


Conclusion:

  • Exponential functions are essential in modeling growth and decay processes.
  • They are used extensively in biology, physics, economics, and finance to describe phenomena such as population growth, radioactive decay, and compound interest.
  • Understanding the derivatives of exponential functions allows us to compute rates of change in these processes.