Class 12 Maths, Worked in Full Past papersGet updates
Chapter 9 · Differential Equations

Exercise 9.3 · Q22: Bacteria up 10% in 2 hours: 2,00,000 after 2log⁡2log⁡(11/10)\frac{2\log 2}{\log(11/10)} hours

Exercise 9.3Variables separable, growth · Sections 9.3 and 9.4.1
The question

22. In a culture, the bacteria count is 1,00,000. The number is increased by 10% in 2 hours. In how many hours will the count reach 2,00,000, if the rate of growth of bacteria is proportional to the number present?

Exam answer

Let NN be the number of bacteria at time tt hours. Given

dNdt=kN(k>0)\frac{dN}{dt} = kN\quad(k > 0)

Separating the variables, dNN=k dt\frac{dN}{N} = k\,dt⁠.

Integrating both sides,

log⁡N=kt+C…(i)\log N = kt + C\quad\ldots(\text{i})

When t=0t = 0⁠, N=100000N = 100000⁠. Putting these in (i): C=log⁡100000C = \log 100000⁠.

log⁡N100000=kt…(ii)\log\frac{N}{100000} = kt\quad\ldots(\text{ii})

In 2 hours the count rises by 10%: when t=2t = 2⁠, N=110000N = 110000⁠. From (ii),

log⁡1110=2kk=12log⁡1110\begin{aligned} \log\frac{11}{10} &= 2k \\ k &= \frac{1}{2}\log\frac{11}{10} \end{aligned}

Let the count be 200000 when t=Tt = T⁠. From (ii),

log⁡2=kT=T2log⁡1110T=2log⁡2log⁡1110\begin{aligned} \log 2 &= kT = \frac{T}{2}\log\frac{11}{10} \\ T &= \frac{2\log 2}{\log\frac{11}{10}} \end{aligned}

∴\therefore The count reaches 2,00,000 in 2log⁡2log⁡1110\dfrac{2\log 2}{\log\dfrac{11}{10}} hours.

Want the reason behind every step, the basics and the checks?

The one idea this problem is built on

"The rate of growth is proportional to the number present" is the equation dNdt=kN\frac{dN}{dt} = kN⁠, with an unknown constant kk⁠. Separating and integrating gives log⁡NN0=kt\log\frac{N}{N_0} = kt⁠. The 10% rise in 2 hours finds kk⁠; then the same relation, with NN0=2\frac{N}{N_0} = 2⁠, gives the time to double.

Given, to find, and the plan
Given
The count NN grows at a rate proportional to NN⁠; N=1,00,000N = 1{,}00{,}000 at t=0t = 0 and N=1,10,000N = 1{,}10{,}000 at t=2t = 2 hours.
To find
The time TT (hours) at which N=2,00,000N = 2{,}00{,}000⁠.
Plan
(1) Name the variables and write the model. (2) Separate and integrate. (3) Use the starting count. (4) Use the 10% rise to find kk⁠. (5) Find TT⁠. (6) Check, and draw the growth curve.

Basics you need

1"Proportional to the number present"

The rate dNdt\frac{dN}{dt} equals a constant kk times NN⁠. Basics: e^{kt} is the one function whose rate is k times itself

2Variables separable

dNdt=g(t) h(N)\frac{dN}{dt} = g(t)\,h(N) with h(N)≠0h(N) \ne 0 gives ∫dNh(N)=∫g(t) dt\int\frac{dN}{h(N)} = \int g(t)\,dt (Section 9.4.1). Lesson: separate, then integrate

3Logarithms

∫dNN=log⁡∣N∣+C\int\frac{dN}{N} = \log|N| + C (Section 7.2, formula (xii)); log⁡a−log⁡b=log⁡ab\log a - \log b = \log\frac{a}{b}⁠; log⁡\log is log⁡e\log_e⁠. Basics: every method ends with an integral

410% more

A rise of 10% multiplies by 1.1=11101.1 = \frac{11}{10}⁠: 1,00,000→1,10,0001{,}00{,}000 \to 1{,}10{,}000⁠. Lesson: a culture that grows 10% every 2 hours

Solution

  1. Name the variables and write the model

    Let tt be the time in hours from the start and NN the number of bacteria at time tt⁠. The rate of growth is proportional to the number present:

    dNdt=kN,\frac{dN}{dt} = kN,

    where k>0k > 0 is a constant (per hour).

    "Proportional to" means "equal to a constant times". The count is increasing, so k>0k > 0⁠; its value is unknown and will come from the 10% data. The equation has order 1 and degree 1. (A count is a whole number, but the model treats NN as a smooth quantity, as the book does.)
    A rate of change is a derivative. Basics: e^{kt} and its rate
  2. Separate the variables and integrate

    dNN=k dtlog⁡N=kt+C.\begin{aligned} \frac{dN}{N} &= k\,dt \\ \log N &= kt + C. \end{aligned}
    Dividing by NN is allowed since N>0N > 0⁠. ∫dNN=log⁡N\int\frac{dN}{N} = \log N and ∫k dt=kt\int k\,dt = kt⁠; the two constants combine into one CC⁠.
    Section 9.4.1; Section 7.2, formula (xii). Lesson: separate, then integrate
  3. Use the starting count

    At t=0t = 0⁠, N=100000N = 100000⁠: log⁡100000=C\log 100000 = C⁠. So

    log⁡N−log⁡100000=kt,i.e.log⁡N100000=kt.\begin{aligned} \log N - \log 100000 &= kt, \\ \text{i.e.}\quad \log\frac{N}{100000} &= kt. \end{aligned}
    The condition fixes CC⁠. In exponential form this is N=100000 ektN = 100000\,e^{kt}⁠.
    Section 9.3: a particular solution from a condition. Basics: one constant, one condition
  4. Use the 10% rise to find kk

    After 2 hours the count is 100000×1.1=110000100000 \times 1.1 = 110000⁠. Put t=2t = 2⁠, N=110000N = 110000⁠:

    log⁡110000100000=2k  ⇒  k=12log⁡1110.\log\frac{110000}{100000} = 2k \;\Rightarrow\; k = \frac{1}{2}\log\frac{11}{10}.
    110000100000=1110\frac{110000}{100000} = \frac{11}{10}⁠. This one equation has the one unknown kk⁠. Numerically k≈0.0476551k \approx 0.0476551 per hour.
    Solving for the rate constant. Lesson: a culture that grows 10% every 2 hours
  5. Find when the count reaches 2,00,000

    Let N=200000N = 200000 at t=Tt = T⁠. Then N100000=2\frac{N}{100000} = 2⁠, and

    log⁡2=kT=T2log⁡1110⇒  T=2log⁡2log⁡1110.\begin{aligned} \log 2 = kT &= \frac{T}{2}\log\frac{11}{10} \\ \Rightarrow\; T &= \frac{2\log 2}{\log\frac{11}{10}}. \end{aligned}

    Numerically T≈14.55T \approx 14.55 hours, about 14 hours 33 minutes.

    The starting count cancels: only the ratio 2 matters, so this is the doubling time. Since log⁡1110>0\log\frac{11}{10} > 0⁠, T>0T > 0⁠.
    log⁡\log undoes ee⁠. Basics: e^{kt} and its rate
  6. Check, and see the growth

    With k=12log⁡1110k = \frac{1}{2}\log\frac{11}{10}⁠, ekt=(1110)t/2e^{kt} = \left(\frac{11}{10}\right)^{t/2}⁠, so N=100000 (1.1)t/2N = 100000\,(1.1)^{t/2}⁠. Then N(2)=110000N(2) = 110000 and T2=log⁡2log⁡1.1\frac{T}{2} = \frac{\log 2}{\log 1.1} gives 1.1T/2=21.1^{T/2} = 2⁠, so N(T)=200000N(T) = 200000⁠. Every 2 hours the count is multiplied by 1.1; after 14 hours it is 100000×1.17≈194872100000 \times 1.1^7 \approx 194872⁠, still below 2,00,000, so TT just over 14 hours is right.

    4 8 12 16 1,00,000 2,00,000 t (hours) N ≈ 14.55 (2, 1,10,000) (14.55, 2,00,000) N = 100000 × 1.1^(t/2) O
    N=100000 (1.1)t/2N = 100000\,(1.1)^{t/2} for 0≤t≤180 \le t \le 18 hours. The dots mark the given rise to 1,10,000 at t=2t = 2 and the count 2,00,000 at T=2log⁡2log⁡(11/10)≈14.55T = \frac{2\log 2}{\log(11/10)} \approx 14.55 hours (dashed). Hours and bacteria are different quantities, so each axis has its own scale.
    Substituting back: dNdt=kN\frac{dN}{dt} = kN holds for N=100000ektN = 100000e^{kt}⁠, and both data points are on the curve. The picture shows the growth speeding up as the population grows.
    ddtekt=kekt\frac{d}{dt}e^{kt} = ke^{kt}⁠. Basics: e^{kt} is k times itself
Result

The count reaches 2,00,000 after T=2log⁡2log⁡1110T = \frac{2\log 2}{\log\frac{11}{10}} hours, about 14.55 hours. (Textbook answer: 2log⁡2log⁡(1110)\frac{2\log 2}{\log\left(\frac{11}{10}\right)}⁠.)

Check it with numbers

log⁡2≈0.6931472\log 2 \approx 0.6931472 and log⁡1.1≈0.0953102\log 1.1 \approx 0.0953102⁠, so k≈0.0476551k \approx 0.0476551 and T≈1.38629440.0953102≈14.5450791T \approx \frac{1.3862944}{0.0953102} \approx 14.5450791⁠; with full precision T≈14.5450818T \approx 14.5450818 hours.

The model at whole steps of 2 hours: N(4)=100000×1.12=121000N(4) = 100000 \times 1.1^2 = 121000⁠, N(14)=100000×1.17≈194871.71N(14) = 100000 \times 1.1^7 \approx 194871.71⁠.

Common mistakes
  1. Treating the growth as 10% of the original every 2 hours (simple growth: 1000010000 per 2 hours, giving 20 hours). The rate grows with the population.
  2. Taking k=0.1k = 0.1 or k=0.05k = 0.05⁠. The 10% is over 2 hours and compounds continuously: k=12log⁡1.1k = \frac{1}{2}\log 1.1⁠.
  3. Writing log⁡1110=2k\log\frac{11}{10} = 2k as log⁡11log⁡10\frac{\log 11}{\log 10}⁠. It is the log of the ratio.
What to take away
  1. "Proportional to the amount present": dNdt=kN\frac{dN}{dt} = kN⁠, so log⁡NN0=kt\log\frac{N}{N_0} = kt⁠.
  2. One extra data point finds kk⁠; then any target ratio gives the time.
  3. The doubling time is log⁡2k\frac{\log 2}{k}⁠, whatever the starting count.

Every fact used, and where it comes from

FactUsed inSource
A rate of change is a derivative; "proportional to" means "a constant times"Step 1Chapter 6 (Basics)
Variables separable; ∫dNN=log⁡∣N∣+C\int\frac{dN}{N} = \log|N| + CStep 2Section 9.4.1; Section 7.2, formula (xii) (Lesson)
A particular solution from a condition; log⁡a−log⁡b=log⁡ab\log a - \log b = \log\frac{a}{b}Steps 3, 4, 5Section 9.3 (Basics)
elog⁡a=ae^{\log a} = a⁠; ddtekt=kekt\frac{d}{dt}e^{kt} = ke^{kt}Step 6Chapter 5 (Basics)
Found an error, or want more?

Tell us if something on this page is wrong or unclear, or if you would like a fuller explanation, another method or a new feature. Send feedback on this problem →