Investigating Exponential Models

Problem 1. Given k \neq 0 and any real constant y_0, solve the initial value problem

\displaystyle \frac{\mathrm dy}{\mathrm dx} = ky,\quad y(0) = y_0.

This is known as the exponential model. If k > 0, this problem describes an exponential growth model. If k < 0, this problem describes an exponential decay model.

(Click for Solution)

Solution. By the method of separable variables,

\begin{aligned}\int \frac 1y\, \mathrm dy &= \int k\, \mathrm dx \\ \ln|y| &= kx + C\\ |y| &= e^{kx+C}\\ y &= \pm e^C \cdot e^{kx} \\ y &= Ae^{kx},\end{aligned}

where A = \pm e^C is an arbitrary constant. Plugging in the initial value y(0) = y_0,

y_0 = Ae^{k \cdot 0} \quad \Rightarrow \quad A = y_0 \quad \Rightarrow \quad y = y_0 e^{kx}.

Problem 2. Let T \equiv T(t) denote the temperature of an object at time t and T_{\text{env}} denote the (constant) temperature of the environment. Denote \Delta T := T - T_{\text{env}} and assume \Delta T > 0.

Newton’s law of cooling states that T decreases at a rate proportional to \Delta T with proportionality constant \lambda > 0. Given that T_0 is the initial temperature of T, find an expression for T in terms of T_0, T_{\text{env}}, \lambda, t.

(Click for Solution)

Solution. By Newton’s law of cooling,

\displaystyle \begin{aligned} \frac{\mathrm dT}{\mathrm dt} &= -\lambda \Delta T. \end{aligned}

On the left-hand side,

\displaystyle \begin{aligned} \frac{\mathrm dT}{\mathrm dt} &= \frac{\mathrm d}{\mathrm dt}(T_{\text{env}} + \Delta T) \\ &= 0 + \frac{\mathrm d}{\mathrm dt}(\Delta T) \\ &= \frac{\mathrm d(\Delta T)}{\mathrm dt}.\end{aligned}

Hence,

\displaystyle \frac{\mathrm d(\Delta T)}{\mathrm dt} = -\lambda \Delta T.

By Problem 1, (\Delta T)(t) = (\Delta T)(0) e^{-\lambda t}. By the definition of \Delta T,

(\Delta T)(0) = (T - T_{\text{env}})(0) = T_0 - T_{\text{env}}.

Therefore, T = T_{\text{env}} + \Delta T  = T_{\text{env}} + (T_0 - T_{\text{env}}) e^{-\lambda t}. Furthermore, as t \to \infty, since e^{-\lambda t} \to 0, we see that the long run temperature tends to T_{\text{env}} since taking t \to \infty yields

T \to T_{\text{env}} +  (T_0 - T_{\text{env}}) \cdot 0 = T_{\text{env}}.

Problem 3. A radioactive substance decays with a decay rate of \lambda > 0. Let x \equiv x(t) denote the amount of a radioactive substance at time t. The radioactive decay model states that x decreases at a rate proportional to x with proportionality constant \lambda.

Compute the half-life of the substance (i.e. the time taken for the substance to decay to half of its quantity) in terms of \lambda.

(Click for Solution)

Solution. By the radioactive decay model,

\displaystyle \frac{\mathrm d x}{\mathrm dt} = -\lambda x.

By Problem 1, letting x_0 := x(0), x = x_0 e^{-\lambda t}. Fix t \geq 0 and denote the half-life by t_{1/2}. Then

\displaystyle \frac x2 = x_0 e^{-\lambda(t + t_{1/2})} = x_0 e^{-\lambda t} e^{-\lambda t_{1/2}} = x e^{-\lambda t_{1/2}}.

Dividing by x > 0, and applying logarithmic properties (exercise),

\displaystyle e^{-\lambda t_{1/2}} = \frac 12 \quad \Rightarrow \quad t_{1/2} = \frac{\ln 2}{\lambda}.

This proof also highlights that t_{1/2} is constant no matter how much material x of the radioactive substance remains; after (\ln 2)/{\lambda} units of time, x decreases by 50\%.

Problem 4. During my tutorial class with 27 students, I assigned students to solve Problem 3. Once a student has solved the problem, I task said student to help other students solve the problem.

Let x \equiv x(t) denote the number of students who successfully solved Problem 3 at time t minutes. It is given that x follows an exponential growth model with proportionality constant \lambda, called the growth rate. Assume x can take non-integer values for simplicity (i.e. so that 0 < x(0) < 1).

Given that the first person solved the problem at 5 minutes and the time taken for all students to complete solving Problem 3 is 25 minutes, estimate the value of \lambda. Hence, if the class instead has N students, estimate the time taken for the whole class to solve Problem 3, giving your answer in terms of N.

(Click for Solution)

Solution. By Problem 1, x = x_0 e^{\lambda t}, where x(0) = x_0.

Since x(5) = 1 and x(25) = 27,

1 = x_0 e^{5 \lambda},\quad 27 = x_0 e^{25 \lambda}.

Dividing the second term by the first,

\displaystyle 27 = \frac{27}{1} = \frac{e^{25 \lambda}}{e^{5 \lambda}} = e^{20\lambda}.

Hence, \lambda = \frac 1{20} \ln 27 \approx 0.165.

For a class of N students, we need to find t such that

\displaystyle N = x_0 e^{\lambda t} \quad \Rightarrow \quad t = \frac 1{\lambda} \ln \frac N{x_0}.

Since x(5) = 1,

1 = x_0 e^{5 \lambda}\quad \Rightarrow \quad x_0 = e^{-5\lambda}.

Hence,

\displaystyle t = \frac 1{\lambda} \ln \frac N{e^{-5\lambda}} = 5 + \frac 1{\lambda} \ln N = 5 + \frac{20}{\ln 27} \ln N.

Problem 5. Generalise the result in Problem 4.

(Click for Solution)

Solution. Use the exponential model x = x_0 e^{\lambda t}. For a given class with M students, suppose that the first student solves at time t_1 and the whole class solves at time t_2. Then

1 = x_0 e^{\lambda t_1},\quad M = x_0 e^{\lambda t_2}.

Dividing by one another and performing algebruh,

\displaystyle \lambda = \frac{\ln (M)}{t_2 - t_1} .

Finally, consider any class with N students with the same growth rate \lambda, and suppose the first student solves Problem 3 in time t_3. This means

\displaystyle 1 = x_0 e^{\lambda t_3} \quad \Rightarrow \quad x = e^{\lambda (t-t_3)} \quad \Rightarrow \quad t - t_3 = \frac {\ln(x)}{\lambda}.

Thus, the class of x = N students will take a total time of t given by

\displaystyle \frac{t - t_3}{t_2 - t_1} = \frac{\ln(N)}{\ln(M)} \quad \Rightarrow \quad t = t_3 + \frac{\ln (N)}{\ln (M)} \cdot (t_2 - t_1).

Setting t_1 = t_3 = 5, t_2 = 25, and M = 27, we obtain the result in Problem 4:

\displaystyle t = 5 + \frac{\ln(N)}{\ln(27)} \cdot (25 - 5) = 5 + \frac{20}{\ln 27} \ln N.

—Joel Kindiak, 25 Apr 25, 1256H

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