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Topic 1.09 · HL only

Laws of logarithms (adding/product, subtracting/quotient, distribution): notes and practice questions

Summary
  • A logarithm is the inverse of an exponent: ax=b  ⟺  log⁡a(b)=xa^x = b \iff \log_a(b) = x (where a>0,b>0,a≠1a > 0, b > 0, a \neq 1).
  • Common logarithm (base 10): log⁡x=log⁡10(x)\log x = \log_{10}(x).
  • Natural logarithm (base ee): ln⁡x=log⁡e(x)\ln x = \log_e(x).
  • Product Law: log⁡a(xy)=log⁡ax+log⁡ay\log_a(xy) = \log_a x + \log_a y.
  • Quotient Law: log⁡a(xy)=log⁡ax−log⁡ay\log_a\left(\frac{x}{y}\right) = \log_a x - \log_a y.
  • Power Law: log⁡a(xk)=klog⁡ax\log_a(x^k) = k \log_a x.
  • Log of 1: log⁡a1=0\log_a 1 = 0.
  • Log of the base: log⁡aa=1\log_a a = 1.
  • Inverse properties: log⁡a(ax)=x\log_a(a^x) = x and alog⁡ax=xa^{\log_a x} = x.
  • Reciprocal property: log⁡a(1x)=−log⁡ax\log_a\left(\frac{1}{x}\right) = -\log_a x.
  • Natural log inverse properties: ln⁡(ex)=x\ln(e^x) = x and eln⁡x=xe^{\ln x} = x.
  • Crucial Warning: log⁡a(x+y)≠log⁡ax+log⁡ay\log_a(x + y) \neq \log_a x + \log_a y.
  • Logarithms are only defined for strictly positive numbers; always check solution validity (e.g., for log⁡(x+k)\log(x+k), x>−kx > -k).
  • Use GDC for ln⁡\ln, log⁡\log, and evaluating logarithms with custom bases (e.g., x=log⁡221.4x = \log_2 21.4).

How it is examined

Rarely tested on its own, because AI is not an algebra course. It appears as the step that linearises a relationship in AHL 2.10, turning y=axny = ax^n into log⁡y=nlog⁡x+log⁡a\log y = n\log x + \log a so a regression line can be fitted. A question that manipulates logs for the sake of it is off-brief for this subject, and one that uses a base other than 10 or ee is out of syllabus.

Given in the booklet

All three laws, under AHL 1.9.

Key ideas
  • log⁡axy=log⁡ax+log⁡ay\log_a xy = \log_a x + \log_a y
  • log⁡axy=log⁡ax−log⁡ay\log_a \dfrac{x}{y} = \log_a x - \log_a y
  • log⁡axm=mlog⁡ax\log_a x^m = m \log_a x

Linking questions

  • Links to other subjects: pH, buffer calculations, and finding activation energy from experimental data (chemistry).
  • TOK: what do the terms "law" and "theory" mean in mathematics, and how does that compare with their use in other areas of knowledge?

Practice questions

17 questions · 13 medium · 4 hard
Showing 17 of 17

Question 1

MediumPaper 1 · calculator7 marks

A digital artist is designing a new fractal pattern. The initial curve for the pattern is defined by the function f(x)=log⁡2xf(x) = \log_2 x. To create a variation, the artist applies a transformation to f(x)f(x), resulting in a new curve g(x)g(x). This transformation involves a horizontal translation of pp units and a vertical translation of qq units.

The new curve g(x)g(x) is observed to pass through the points (6,−2)(6, -2) and (12,0)(12, 0).

Find the value of pp and the value of qq.

Question 2

HardPaper 1 · calculator10 marks
(a)

A mathematical model for a physical phenomenon involves the expression (1u+2)2\left(\frac{1}{u} + 2\right)^2.

(a) Expand (1u+2)2\left(\frac{1}{u} + 2\right)^2.

[2]
(b)

The rate of change of a certain quantity is given by f′(x)=1(x+1)2+4x+1+4f'(x) = \frac{1}{(x+1)^2} + \frac{4}{x+1} + 4.

(b) Find the indefinite integral ∫(1(x+1)2+4x+1+4)dx\int \left( \frac{1}{(x+1)^2} + \frac{4}{x+1} + 4 \right) dx.

[4]
(c)

A designer is creating a custom-shaped container. The cross-sectional profile of the container is defined by the curve y=1x+1+2y = \frac{1}{x+1} + 2 for 1≤x≤31 \le x \le 3. The container is formed by rotating this region 2π2\pi about the x-axis.

(c) Calculate the volume of the solid formed. Give your answer in the form π4(a+bln⁡(c))\frac{\pi}{4}(a + b \ln(c) ), where a,b,c∈Za, b, c \in \mathbb{Z}.

[4]

Question 3

MediumPaper 1 · calculator6 marks
(a)

A car enthusiast, Mr. Henderson, purchases two classic cars for his collection. The first is a popular sedan, initially costing 28000,whichisexpectedtodepreciateatarateof828000, which is expected to depreciate at a rate of 8% per year. The second is a rare sports coupe, purchased for 75000, and is expected to depreciate at a rate of 15% per year.

(a) Estimate the value of the popular sedan after 4 years.

[2]
(b)

(b) Find the number of years, kk, after which both cars will have the same estimated value. Give your answer to three significant figures.

[3]
(c)

(c) Comment on the validity of your answer to part (b).

[1]

Question 4

HardPaper 1 · calculator11 marks
(a)(i)

(a) A tech startup's monthly revenue is modelled as a geometric sequence. The revenue in the first month was R1R_1 dollars, and it increases by a constant factor kk each month.

(i) Write down an expression in terms of R1R_1 and kk for the revenue in the nnth month, RnR_n.

[1]
(a)(ii)

(ii) Write down an expression for the total revenue generated over the first NN months, SNS_N.

[2]
(b)

(b) The marketing team measures the 'growth potential' GnG_n of the startup in the nnth month using the formula Gn=log⁡10RnG_n = \log_{10} R_n.

By writing GnG_n in terms of R1R_1 and kk, determine what type of sequence GnG_n defines, and find an expression for the nnth term GnG_n. You must clearly show your working and justify your answer.

[4]
(c)

(c) Find an expression for the sum TNT_N of the growth potential over the first NN months.

[2]
(d)

(d) Determine whether or not TN=log⁡10SNT_N = \log_{10} S_N. Justify your answer.

[2]

Question 5

MediumPaper 1 · calculator7 marks
(a)

(a) A chemical's toxicity score, TT, is modelled as a function of its relative concentration, CC, by the equation:

T=5−3log⁡10(C)T = 5 - 3 \log_{10}(C)

where CC is the concentration relative to a baseline. A new compound, 'Zylos', is being tested and has a relative concentration of 0.0850.085.

Find the Toxicity Score of Zylos.

[2]
(b)

(b) Another chemical compound, 'Hydron', is found to have a Toxicity Score of 11.

Find the relative concentration of Hydron.

[2]
(c)

(c) Compound 'Alpha' has a Toxicity Score that is 4.5 units lower than Compound 'Beta'.

Find how many times greater the concentration of 'Alpha' is compared to 'Beta'.

[3]

Question 6

HardPaper 2 · calculator14 marks
(a)

(a) A manufacturing company uses a specialized machine to produce custom parts. The number of units produced, NN, in one day is modelled by

N=40ln⁡(3t+1)N = 40 \ln(3t+1), for 0≤t≤100 \le t \le 10

where tt is the time the machine operates, in hours, on that day.

Find the time, in hours, it takes for the machine to produce 80 units in one day.

[2]
(b)

(b) The daily profit, PP, in thousands of dollars, from producing NN units is given by

P=150(1−e−0.008N)P = 150(1-e^{-0.008N}), for P∈RP \in \mathbb{R}.

Find the profit, in thousands of dollars, the company earns for producing 80 units.

[1]
(c)

(c) Find an expression for PP as a function of tt, giving your answer in the form

P=150(1−1(3t+1)n)P=150(1-\frac{1}{(3t+1)^n})

where nn is a number to be determined.

[4]
(d)

(d) Hence or otherwise, find the profit, in thousands of dollars, the company earns by operating the machine for 4 hours.

[1]
(e)

(e) Find the greatest profit, in thousands of dollars, the company can earn in one day.

[2]
(f)

(f) The company introduces a weekly bonus profit, BB, in thousands of dollars, for the total units produced in one week, DtotalD_{total}, using

B=100(1−1Dtotal+1)B=100(1-\frac{1}{D_{total}+1})

The company decides to operate the machine for the same length of time, TT hours, each day for 5 days a week.

They want to achieve a total weekly profit of 580 thousand dollars.

Find the value of TT.

[4]

Question 7

MediumPaper 1 · calculator7 marks
(a)

(a) The growth of a bacterial colony's area, AA, over time, tt, is being studied under specific conditions. The area AA is measured in square micrometers (μm2\mu m^2) at the end of each hour tt for five consecutive hours. The data is recorded in Table 1.

**Table 1: Time tt (hours) and Area AA (μm2\mu m^2)**

Time tt (hours)Area AA (μm2\mu m^2)
152
2140
3265
4398
5560

It is believed that the growth of the colony can be modelled by an equation of the form A=k×tpA = k \times t^p.

Use power regression on your graphic display calculator to find the value of kk and the value of pp. Give your answers to three significant figures.

[2]
(b)

(b) The values of tt and AA can be transformed such that x=ln⁡tx = \ln t and y=ln⁡Ay = \ln A. Table 2 shows data for xx and yy to three decimal places.

**Table 2: Transformed data x=ln⁡tx = \ln t and y=ln⁡Ay = \ln A**

x=ln⁡tx = \ln ty=ln⁡Ay = \ln A
0.0003.951
0.6934.942
1.0995.580
1.3865.986
1.6096.328

Find the linear regression equation of yy on xx, in the form y=cx+dy = cx + d. Give the values of cc and dd to three decimal places.

[2]
(c)

(c) Hence, show that this linear regression is equivalent to the power regression found in part (a).

[3]

Question 8

HardPaper 3 · calculator29 marks
(a)(i)

In this question, marine biologists are studying the population dynamics of a rare species of "Azurefin" fish in a newly established protected reef area.

Historically, the Azurefin population in this region maintained a stable size of 50005000 individuals. Following a period of environmental disturbance, the population was reduced to 10001000 fish. At this point, the area was designated a protected marine reserve, and conservation efforts began, leading to a recovery in the fish population.

Researchers wish to model the size of the Azurefin population, xx, as a function of tt, where tt is the time, in years, since the establishment of the protected reserve.

Initially, the researchers consider using the logistic model:

x=L1+Ce−ktx = \frac{L}{1+Ce^{-kt}}, where L,C,k∈R+L, C, k \in \mathbb{R}^+.

The researchers decide to set L=5000L = 5000.

State the assumption being made by setting L=5000L = 5000.

[1]
(a)(ii)

At t=0t = 0, the population of Azurefin fish is 10001000.

Find the value of CC.

[2]
(a)(iii)

At t=3t = 3 years, the population of Azurefin fish is found to have increased to 25002500.

Find the value of kk. Give your answer correct to three significant figures.

[2]
(a)(iv)

Use your model to predict the size of the Azurefin population in the area 66 years after it became protected. Give your answer correct to the nearest whole number.

[2]
(b)(i)

An alternative model for population growth is called the Gompertz model. When applied by the researchers to the Azurefin population, this model satisfies the differential equation:

dxdt=axln⁡(5000x)\frac{dx}{dt} = ax \ln \left( \frac{5000}{x} \right), a∈R+a \in \mathbb{R}^+.

Write down the value of dxdt\frac{dx}{dt} when x=5000x = 5000.

[1]
(b)(ii)

Interpret your answer to part (b)(i) in context.

[1]
(b)(iii)

Consider the function f(x)=ln⁡(ln⁡5000−ln⁡x)f(x) = \ln (\ln 5000 - \ln x), where 0<x<50000 < x < 5000.

Show that f′(x)=−1xln⁡(5000x)f'(x) = \frac{-1}{x \ln \left( \frac{5000}{x} \right)}.

[2]
(b)(iv)

Hence, use separation of variables to show that the general solution of

dxdt=axln⁡(5000x)\frac{dx}{dt} = ax \ln \left( \frac{5000}{x} \right), where 0<x<50000 < x < 5000,

can be written as

ln⁡x=ln⁡5000−Ae−at\ln x = \ln 5000 - Ae^{-at},

where AA is an arbitrary positive constant.

[5]
(b)(v)

Use the size of the Azurefin population at t=0t = 0 to find the value of AA.

Give your answer in the form A=ln⁡pA = \ln p, where p∈Z+p \in \mathbb{Z}^+.

[2]
(b)(vi)

Use the size of the Azurefin population at t=3t = 3, given in part (a), to show that a=0.281a = 0.281, correct to three significant figures.

[2]
(b)(vii)

Use the Gompertz model to predict the size of the Azurefin population at t=6t = 6. Give your answer correct to the nearest whole number.

[3]
(c)

After 66 years, the Azurefin population is measured and is found to be 32003200.

Comment on the predictions made by the two models.

[1]
(d)(i)

By tracking individual Azurefin fish, the researchers find that about 5%5\% of the population migrates out of the protected area each year.

They decide to adapt the Gompertz model to allow for this. The new model will satisfy the differential equation:

dxdt=0.280799xln⁡(5000x)−0.05x\frac{dx}{dt} = 0.280799x \ln \left( \frac{5000}{x} \right) - 0.05x.

Use Euler's method, with a step size of 0.50.5 years and an initial value of x0=2500x_0 = 2500 when t=3t = 3, to find an estimate for the size of the Azurefin population when t=6t = 6.

Give your answer correct to the nearest whole number.

[4]
(d)(ii)

Comment on your answer.

[1]

Question 9

MediumPaper 1 · calculator7 marks
(a)

The rate of change of a certain quantity, QQ, with respect to time, tt (in minutes), is modelled by the function dQdt=105t−2\frac{dQ}{dt} = \frac{10}{5t-2}.

(a) Find an expression for Q(t)Q(t) in terms of tt, assuming an arbitrary constant of integration.

[3]
(b)

(b) Given that the model is valid for t>25t > \frac{2}{5}, find the exact total change in the quantity QQ from t=1t=1 minute to t=4t=4 minutes. Give your answer in the form aln⁡ba \ln b, where a,b∈Na, b \in \mathbb{N}.

[4]

Question 10

MediumPaper 2 · calculator11 marks
(a)

In a microbiology experiment, the growth of two different bacterial cultures, Culture A and Culture B, is monitored. The logarithm (base 10) of their current populations, PAP_A and PBP_B respectively, are defined as log⁡10PA=m\log_{10} P_A = m and log⁡10PB=n\log_{10} P_B = n. Express the following logarithmic expressions in terms of mm and nn.

log⁡10(PAPB)\log_{10} (P_A P_B)

[1]
(b)

log⁡10(PAPB)\log_{10} \left(\frac{P_A}{P_B}\right)

[1]
(c)

log⁡10(PA4)\log_{10} (P_A^4)

[1]
(d)

log⁡10(PA2PB3)\log_{10} (P_A^2 P_B^3)

[2]
(e)

log⁡10(PAPB5)\log_{10} \left(\frac{\sqrt{P_A}}{P_B^5}\right)

[3]
(f)

log⁡10(0.1PA3)\log_{10} (0.1 P_A^3)

[3]

Question 11

MediumPaper 1 · calculator13 marks
(a)(i)

(a) A medical isotope used in diagnostic imaging decays over time. The time tt (in hours) since the isotope was prepared can be modelled by the equation t=−12ln⁡2ln⁡(P)t = \frac{-12}{\ln 2} \ln(P), where PP is the proportion of the isotope remaining.

(i) Calculate the time tt (in hours) when the proportion of the isotope remaining is P=0.5P = 0.5.

[2]
(a)(ii)

(ii) Calculate the time tt (in hours) when the proportion of the isotope remaining is P=0.25P = 0.25.

[2]
(b)

(b) The isotope is considered ineffective if the proportion remaining drops below 0.050.05. Find the time (in hours) when the isotope just becomes ineffective, giving your answer to one decimal place.

[3]
(c)

(c) Express PP in terms of tt.

[3]
(d)

(d) Using your answer from part (c), find the proportion of the isotope remaining after 2424 hours. Give your answer to three significant figures.

[3]

Question 12

MediumPaper 2 · calculator10 marks
(a)

The concentration, C(t)C(t) in parts per million (ppm), of a pollutant in a lake after a clean-up operation can be modelled by the equation C(t)=5+75×(1.05)−tC(t) = 5 + 75 \times (1.05)^{-t}, where tt is the time in days since the operation began.

(a) Calculate the initial concentration of the pollutant in the lake.

[2]
(b)

(b) Determine the concentration of the pollutant after 2020 days.

[3]
(c)

(c) Find the number of days it takes for the pollutant concentration to reach 2525 ppm.

[4]
(d)

(d) State the long-term concentration of the pollutant in the lake.

[1]

Question 13

MediumPaper 2 · calculator16 marks
(a)

A school administrator is tracking the spread of a rumour among students. The number of students, SS, who have heard the rumour is recorded tt hours after it began. The first results obtained are shown in the top two rows of the table below.

tt224466881010
SS11111616252537375555
log⁡10S\log_{10} S

Complete the last row of the table, giving your answers to three decimal places.

[2]
(b)

Draw a graph of log⁡10S\log_{10} S against tt, using appropriate scales on the axes.

[4]
(c)

Hence, state the type of model that best fits the data displayed in part (b).

[1]
(d)

The school counsellor suggests that the number of students who have heard the rumour can be modelled by S(t)=A×BtS(t) = A \times B^t.

Explain why the school counsellor is correct.

[4]
(e)

Hence, determine the values of the parameters AA and BB of the school counsellor's model, showing all your calculations. Give your answers to three significant figures.

[5]

Question 14

MediumPaper 1 · calculator6 marks

An ecologist is studying the spread of an invasive plant species. They measure the area covered by the plant, AA (in m2\text{m}^2), at different times, tt (in days), since its introduction. They investigate two possible models for the relationship between AA and tt.

Model 1: Linear relationship between AA and tt.

Regression line: A=0.50t+10.0A = 0.50t + 10.0

Coefficient of determination (R2R^2): 0.8500.850

Model 2: Linear relationship between log⁡10A\log_{10} A and log⁡10t\log_{10} t.

Regression line: log⁡10A=0.75log⁡10t+1.20\log_{10} A = 0.75 \log_{10} t + 1.20

Coefficient of determination (R2R^2): 0.9850.985

Based on these results, find the best of the two possible relationships between AA and tt.

Express your relationship in the form A=f(t)A = f(t) where ff is a simplified expression, giving your numerical coefficient to three significant figures.

Justify your choice of expression.

Question 15

MediumPaper 2 · calculator15 marks
(a)

(a) A pharmaceutical company is investigating the effectiveness of a new drug. The effectiveness, SS, is modelled as a function of the concentration of an activator, AA, present in the system by the equation S=Smaxe−CAS = S_{max} e^{-\frac{C}{A}}, where SmaxS_{max} and CC are positive constants, and A>0A > 0.

Show that dSdA\frac{dS}{dA} is always positive.

[3]
(b)

(b) Given that lim⁡A→∞S=Smax\lim_{A \to \infty} S = S_{max} and lim⁡A→0S=0\lim_{A \to 0} S = 0, sketch the graph of SS against AA.

[3]
(c)(i)

(c) The model predicts that the graph of ln⁡S\ln S against 1A\frac{1}{A} is a straight line.

(i) Write down the gradient of this line in terms of CC.

[2]
(c)(ii)

(ii) Write down the y-intercept of this line in terms of SmaxS_{max}.

[2]
(d)

(d) The following data are collected from experiments, where AA is measured in mol dm−3\text{mol dm}^{-3} and SS is measured in arbitrary units:

AA5.05.010.010.015.015.020.020.025.025.0
SS10.110.167.867.8175.2175.2269.5269.5337.0337.0

Find the equation of the regression line for ln⁡S\ln S on 1A\frac{1}{A}.

[2]
(e)(i)

(e) Find an estimate of

(i) CC;

[1]
(e)(ii)

(ii) SmaxS_{max}.

It is not required to state units for these values.

[2]

Question 16

MediumPaper 1 · calculator7 marks

In a physics experiment, the relationship between the intensity of light, II (in candela), and the distance from the source, dd (in meters), is modelled by the equation I=kdnI = k d^{n}, where kk and nn are constants.

To determine kk and nn, experimental values of II and dd are obtained. A graph of log⁡10I\log_{10} I against log⁡10d\log_{10} d shows a straight line passing through the points (0.5,1.2)(0.5, 1.2) and (1.5,−0.3)(1.5, -0.3).

Find the value of kk and of nn.

Question 17

MediumPaper 1 · calculator7 marks
(a)

A cup of hot tea is placed in a room with a constant ambient temperature of 22°C. The temperature of the tea, TT in degrees Celsius, is recorded at various times, tt in minutes.

It is assumed that the temperature difference, D=T−22D = T - 22, follows an exponential decay model. To linearize the data, a graph of ln(D)\text{ln}(D) is plotted against tt. This graph is a straight line that passes through the points (4,3.8)(4, 3.8) and (12,2.2)(12, 2.2).

(a) Find the equation of the straight line in the form ln(D)=mt+c\text{ln}(D) = mt + c, where mm and cc are constants.

[3]
(b)(i)

(b) Hence,

(i) find an expression for DD in terms of tt, writing your answer in the form D=AektD = Ae^{kt}.

[2]
(b)(ii)

(ii) calculate the temperature of the tea, TT, when t=20t = 20 minutes.

[2]

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What does Laws of logarithms (adding/product, subtracting/quotient, distribution) cover in IB Maths AI?

A logarithm is the inverse of an exponent: a^x = b iff log_a(b) = x (where a > 0, b > 0, a ≠ 1). Common logarithm (base 10): log x = log_10(x). Natural logarithm (base e): ln x = log_e(x).

Is Laws of logarithms (adding/product, subtracting/quotient, distribution) SL or HL?

Laws of logarithms (adding/product, subtracting/quotient, distribution) is HL only. SL students are not examined on it.

How do I revise Laws of logarithms (adding/product, subtracting/quotient, distribution) for IB Maths AI?

Start from the core idea: a logarithm is the inverse of an exponent: a^x = b iff log_a(b) = x (where a > 0, b > 0, a ≠ 1). In the exam: rarely tested on its own, because AI is not an algebra course. It appears as the step that linearises a relationship in AHL 2.10, turning y = ax^n into log y = nlog x + log a so a regression line can be fitted. Then practise exam-style questions, easiest first, writing out every step of your working before you check it.

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