Solving Exponential Equations using Logarithms
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Solving Exponential Equations using Logarithms — Free MYP4 Mathematics (Extended) Practice Questions

1QuestionApplying logarithms to both sidesAssessment Practice
7 marks~11 minCriterion B
The diagram shows the first four figures of a pattern made from small squares arranged in an L-shape.

The table below shows the number of small squares SS in each figure.

Figure number (nn)1234
Number of squares (SS)3579
a
Write down the number of small squares in Figure 5. [1]
b
Find a rule for the number of small squares SS in Figure nn, giving your answer in the form
S=an+bS = an + b
where aa and bb are integers to be determined. [2]
c
A large version of this pattern is built using exactly 47 small squares. Determine which figure number this is, showing your working. [1]
d
Justify why the rule S=an+bS = an + b can never produce a value of SS that is an even number, for any positive integer nn. [3]
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Solutions

2QuestionApplying logarithms to both sidesAssessment Practice
10 marks~15 minCriterion D
A colony of bacteria grows so that its population PP at time tt hours satisfies
P(t)=P0⋅2t/k,P(t) = P_0 \cdot 2^{t/k},
where P0P_0 is the initial population and kk is a positive constant.

A scientist records the following data.

Time tt (hours)039
Population PP200028285657


The scientist uses the model P(t)=2000⋅2t/6P(t) = 2000 \cdot 2^{t/6} to predict future population values.
a
Show that k=6k = 6 is consistent with the data point at t=3t = 3, giving your answer to 4 significant figures. [3]
b
The scientist claims the colony will reach a population of 3x3^x at some time tt, where xx satisfies
2x=3x−1.2^x = 3^{x-1}.
Solve this equation for xx, giving your answer in exact form and as a decimal to 3 significant figures. [4]
c
A second scientist argues that the model P(t)=2000⋅2t/6P(t) = 2000 \cdot 2^{t/6} will eventually overestimate the true population because real bacterial colonies face resource constraints. Assess the validity of this argument by stating one assumption of the model and one limitation that arises from it. [3]
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Solutions

3QuestionSolving equations with unknown exponentsAssessment Practice
10 marks~15 minCriterion C
The diagram shows the graphs of f(x)=5xf(x) = 5^x and g(x)=2x+3g(x) = 2^{x+3} for −1≤x≤5-1 \leq x \leq 5.
a
Show that the equation 5x=2x+35^x = 2^{x+3} can be written as
x=3log⁡2log⁡5−log⁡2.x = \frac{3\log 2}{\log 5 - \log 2}. [3]
b
Hence find the coordinates of the point of intersection of the two graphs, giving the xx-value in exact form and the yy-value to 3 significant figures. [3]
c
A student claims that for any positive constant kk, the equation 5x=k⋅2x+35^x = k \cdot 2^{x+3} always has exactly one solution. Justify whether this claim is correct, giving the solution in exact form in terms of kk and log⁡\log, and state what happens to xx as k→0+k \to 0^+. [4]
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Solutions

4QuestionSolving equations with unknown exponentsAssessment Practice
11 marks~17 minCriterion A
A scientist models the temperature TT (in °C) of a cooling liquid at time tt minutes using the equation
T(t)=80⋅3−kt,T(t) = 80 \cdot 3^{-kt},
where kk is a positive constant.

Observed and predicted temperatures at three values of tt are shown below.

tt (min)51020
Observed TT (°C)38.018.54.3
Predicted TT (°C)?18.5?


The value kk is determined using the observed temperature at t=10t = 10 minutes.
a
Using T=18.5T = 18.5 when t=10t = 10, show that
k=110log⁡3 ⁣(8018.5),k = \frac{1}{10}\log_{3}\!\left(\frac{80}{18.5}\right),
and hence find the value of kk correct to 3 significant figures. [4]
b
Using your value of kk from part (a), find the model's predicted temperatures at t=5t = 5 and t=20t = 20, each correct to 1 decimal place. Hence calculate the percentage error for each prediction using
percentage error=∣ predicted−observed ∣observed×100%,\text{percentage error} = \frac{|\,\text{predicted} - \text{observed}\,|}{\text{observed}} \times 100\%,
giving each percentage error correct to 1 decimal place. [4]
c
The scientist claims the model is reliable for 0≤t≤200 \leq t \leq 20. Justify this claim, or reject it, by referring to the percentage errors found in part (b), and state one limitation of using this exponential model to predict the temperature for large values of tt. [3]
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Solutions

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