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Exponential models for HSC Maths Standard 2

Syllabus dot point

“Model practical problems with exponential functions of the form y=abxy = a b^x and interpret growth, decay and asymptotes”

HSCMaths Standard 2Year 12: Algebra13 min read

Quick answer

An exponential model y=abxy = a b^x has initial value aa (the yy-intercept) and per-period multiplier b=1+r/100b = 1 + r/100 for growth or 1−r/1001 - r/100 for decay; the line y=0y = 0 is a horizontal asymptote. A constant ratio between consecutive table values is the signature of an exponential. Solve for the exponent by taking logs of both sides.

Jump to a section
  1. What this dot point is asking
  2. The answer
  3. Exam-style questions
  4. Practice questions

What this dot point is asking

NESA wants you to spot when an exponential model applies. It applies whenever the change over each period is a fixed percentage of the current size, such as bacterial growth, radioactive decay, compound interest, or depreciation (the steady loss in value of an asset over time). You then set up y=abxy = a b^x with the right base, evaluate it, and solve exponential equations using logarithms. The deeper idea is that exponential change is multiplicative: each step multiplies by the same number bb. That is exactly what separates it from linear change, where each step instead adds the same number.

The answer

Exponential growth and decay curves on the same axes Two exponential curves both passing through zero comma one on the y axis. The growth curve y equals two to the x rises steeply to the right. The decay curve y equals one half to the x falls towards the x axis, which is a horizontal asymptote for both curves. x y 0 (0, 1) y = 2ˣ (growth) y = (½)ˣ (decay) asymptote y = 0

The standard form

y=abxy = a b^x

  • aa is the initial value at x=0x = 0 (since b0=1b^0 = 1).
  • bb is the base, the per-unit multiplier.
  • b>1b > 1: growth. 0<b<10 < b < 1: decay.

Reading a model is mostly reading these two numbers. The aa tells you where the curve starts on the vertical axis; the bb tells you, in one number, both the direction (up if b>1b > 1, down if b<1b < 1) and the speed of the change.

From percentage rate to base bb

  • Growth at r%r\% per period: b=1+r100b = 1 + \frac{r}{100}. So 7%7\% growth gives b=1.07b = 1.07.
  • Decay at r%r\% per period: b=1−r100b = 1 - \frac{r}{100}. So 12%12\% decay gives b=0.88b = 0.88.

This is the same multiplier used in straight compound interest or declining-balance depreciation. The base is always close to 11 for ordinary percentage rates, which is a quick sanity check: a base of 0.120.12 or 1.51.5 for a "12%12\%" rate is almost certainly a slip.

The asymptote

The graph of y=abxy = a b^x (for a>0a > 0) gets closer and closer to the xx-axis but never touches it. The line y=0y = 0 is a horizontal asymptote, which means a line a curve keeps approaching but never reaches. So a decaying quantity heads towards zero without ever reaching exactly zero. That is why a model never predicts a population, balance or mass of precisely 00. For a growth curve the same line y=0y = 0 is the asymptote on the left: as xx becomes very negative the curve flattens towards zero, while to the right it climbs without limit.

Solving for the exponent

If y=abxy = a b^x and you know yy, aa and bb and want xx:

ya=bx  ⟹  x=log⁡(y/a)log⁡b=ln⁡(y/a)ln⁡b.\frac{y}{a} = b^x \implies x = \frac{\log(y / a)}{\log b} = \frac{\ln(y / a)}{\ln b}.

Either log base works, because the bases cancel in the ratio. Use whichever your calculator gives easily. This is the standard "how long until..." calculation. It tells you how long until the investment doubles, the population reaches a target, or the drug concentration drops to a safe level.

Reading off worded problems

  • "Doubles every TT time units" implies b=2b = 2 per TT, so per unit of time the base is 21/T2^{1/T}.
  • "Half-life of TT" implies b=0.5b = 0.5 per TT, so per unit b=0.51/Tb = 0.5^{1/T}.
  • "Grows at r%r\% continuously" is technically erte^{r t}, but Standard 2 uses discrete compounding, so use b=1+r/100b = 1 + r/100.

Spotting an exponential from a table: the constant ratio

When a table is supplied and you must name the model, the test for an exponential is the ratio of consecutive values.

Key fact

An exponential model y=abxy = a b^x has initial value aa (the yy-intercept) and per-period multiplier b=1+r100b = 1 + \frac{r}{100} for growth or 1−r1001 - \frac{r}{100} for decay. From a table of evenly spaced xx-values, the data is exponential exactly when consecutive yy-values have a constant ratio (you multiply by the same bb each step). A constant difference is linear instead; a constant second difference is quadratic. Solve for an unknown exponent by taking logs of both sides.

Take the decay table A=8000,4000,2000,1000,500A = 8000, 4000, 2000, 1000, 500. The ratios are 40008000=20004000=10002000=5001000=0.5\frac{4000}{8000} = \frac{2000}{4000} = \frac{1000}{2000} = \frac{500}{1000} = 0.5: constant, so the model is exponential with b=0.5b = 0.5, and the first value 80008000 is aa. The full model is A=8000(0.5)tA = 8000(0.5)^t. Contrast a linear table, where you would instead subtract the same amount each step.

Sketch the exponential curve, stage by stage

Graph an exponential model the same way you graph any curve: tabulate, plot, then join with a smooth curve. The build below is a decay, an asset worth A=8000(0.5)tA = 8000(0.5)^t dollars after tt years (it halves annually), with table values A=8000,4000,2000,1000,500A = 8000, 4000, 2000, 1000, 500 at t=0,1,2,3,4t = 0, 1, 2, 3, 4.

Stage 1, draw and scale the axes. Time tt runs along the horizontal axis (0 to 4 years) and the amount AA up the vertical axis (0 to 8000 dollars, the starting value). The starting value sets the top of the scale.

Stage 1: draw and scale the axesEmpty labelled axes for the decay model. The horizontal t axis runs from 0 to 4 years and the vertical A axis from 0 to 8000 dollars, ready for the table points to be plotted.tA012342000400060008000Stage 1Draw axes: t from 0 to 4 years, A from 0 to 8000 dollars.

Stage 2, plot the table points. Plot (0,8000)(0, 8000), (1,4000)(1, 4000), (2,2000)(2, 2000), (3,1000)(3, 1000) and (4,500)(4, 500). Each value is exactly half the one before it, the constant ratio 0.50.5 that marks the data as exponential rather than linear.

Stage 2: plot the table pointsThe same axes with five points plotted: 8000 at t equals 0, then 4000, 2000, 1000 and 500 as t increases. Each value is half the one before it.tA012342000400060008000Stage 2Plot (0,8000),(1,4000),(2,2000),(3,1000),(4,500).

Stage 3, join the points with a smooth curve. Join the dots with one smooth curve that falls steeply at first and then flattens. Decay curves keep dropping but the drop gets smaller and smaller; the curve never turns back up.

Stage 3: join the points with a smooth decay curveThe plotted points joined by a smooth decreasing curve in the accent colour. The curve falls steeply at first then flattens as it approaches the t axis.tA012342000400060008000Stage 3Join the dots with one smooth curve that keeps falling.

Stage 4, mark the intercept and the asymptote. The curve cuts the vertical axis at (0,8000)(0, 8000): that intercept is the value of aa, the starting amount, because b0=1b^0 = 1. The dashed horizontal line A=0A = 0 is the asymptote: the curve falls towards it forever but never reaches it, so the asset's modelled value gets tiny but never hits exactly zero.

Stage 4: mark the intercept and the asymptoteThe finished decay curve with the y-intercept marked at t equals 0, A equals 8000, which is the starting value a, and a dashed horizontal asymptote along A equals 0 that the curve approaches but never reaches.tA012342000400060008000intercept = a(0, 8000)asymptote A = 0Stage 4Mark the intercept (0, 8000) = a and the asymptote A = 0.

A growth curve is built the same way, but the points climb (multiply up each step) and the curve rises ever more steeply to the right, with the asymptote y=0y = 0 now sitting under the flat left-hand tail.

How exam questions ask about exponential models

The phrasing changes but each version maps to a familiar step:

  • "Set up / write an equation for..." or "write a model for..." Identify aa (the starting value) and bb (use 1+r/1001 + r/100 for growth, 1−r/1001 - r/100 for decay), then write y=abxy = a b^x with the variable named.
  • "Find the value / population / amount after nn periods." Substitute x=nx = n and evaluate, rounding sensibly for the context (whole dollars, whole organisms).
  • "How long until it reaches / doubles / halves / falls below...?" Set yy to the target, divide by aa, and take logs to solve for xx.
  • "What does the model predict in the long run / does it ever reach zero?" Point to the asymptote y=0y = 0: a decaying quantity approaches but never reaches it.
  • "Which model fits this table?" Check the ratio of consecutive values: a constant ratio means exponential.
  • "By what percentage does it change each period?" Read it off the base: b=1.07b = 1.07 is 7%7\% growth, b=0.88b = 0.88 is 12%12\% decay.
  • "Sketch the graph." Mark the yy-intercept aa, show the correct direction (rising for b>1b > 1, falling for b<1b < 1), and draw the curve flattening towards the asymptote y=0y = 0.
Four exponential models: interest, population, half-life and depreciation

Four contexts are worked through: compound interest on a $5000 investment, Sydney's projected population, a half-life decay, and the declining value of a laptop. Each uses the exponential model y=a⋅bty = a \cdot b^t with a different base.

Compound interest on a $5000 investment

When a quantity grows by a fixed percentage each period, the multiplier for one period is b=1+r/100b = 1 + r/100. Starting with $5000 at 6%6\% per annum compounded annually, the accumulated amount after tt years is:

A=5000(1.06)tA = 5000(1.06)^t

Evaluate the investment after 10 years: Substituting t=10t = 10 into the model gives the balance at that point. We use the known approximation (1.06)10≈1.7908(1.06)^{10} \approx 1.7908. The amount is in dollars.

A=5000×1.7908≈8954A = 5000 \times 1.7908 \approx 8954

Find the doubling time using logarithms: To find when A=2×5000=10 000A = 2 \times 5000 = 10\,000, that is $10 00010\,000, we solve (1.06)t=2(1.06)^t = 2. Taking the natural logarithm of both sides and isolating tt gives the doubling time.

t=ln⁡2ln⁡1.06≈0.69310.0583≈11.9 yearst = \frac{\ln 2}{\ln 1.06} \approx \frac{0.6931}{0.0583} \approx 11.9 \text{ years}

Project Sydney's population

Sydney's population was approximately 5.265.26 million in 20212021. Using the ABS estimate of 1.3%1.3\% annual growth, the multiplier per year is 1.0131.013, so the model (with tt measured in years from 2021) is:

P=5.26(1.013)t millionP = 5.26(1.013)^t \text{ million}

Project the population to 2051: Setting t=30t = 30 corresponds to the year 2051. Computing (1.013)30(1.013)^{30} and multiplying by the initial population gives the projected figure.

(1.013)30≈1.475(1.013)^{30} \approx 1.475

P≈5.26×1.475≈7.76 millionP \approx 5.26 \times 1.475 \approx 7.76 \text{ million}

Decay of a medical isotope from its half-life

A medical isotope used in a Sydney hospital has a half-life of 66 hours: every 66 hours, half of it remains. Starting from 8080 mg, the model in hours is M=80(0.5)t/6M = 80 (0.5)^{t/6}, because raising 0.50.5 to the power t/6t/6 counts how many 66-hour half-lives have elapsed. After 1818 hours, that is three half-lives:

M=80(0.5)18/6=80(0.5)3=80×0.125=10 mgM = 80(0.5)^{18/6} = 80(0.5)^3 = 80 \times 0.125 = 10 \text{ mg}

Depreciation of a laptop

Depreciation at a fixed percentage each year is a decay process: each year the value is multiplied by b=1−0.20=0.80b = 1 - 0.20 = 0.80. The model for a laptop purchased for $1800 is:

V=1800(0.80)tV = 1800(0.80)^t

Find the laptop value after 4 years: Substituting t=4t = 4 and using (0.80)4=0.4096(0.80)^4 = 0.4096 gives the laptop's book value at that point, in dollars.

V=1800×0.4096≈737.28V = 1800 \times 0.4096 \approx 737.28

Find when the laptop value falls below $500: We need the smallest whole number of years for which V<500V < 500. Set up the equation 1800(0.80)t=5001800(0.80)^t = 500, divide, and take logs.

(0.80)t=5001800≈0.2778  ⟹  t=log⁡0.2778log⁡0.80≈−0.5560−0.0969≈5.74(0.80)^t = \frac{500}{1800} \approx 0.2778 \implies t = \frac{\log 0.2778}{\log 0.80} \approx \frac{-0.5560}{-0.0969} \approx 5.74

Since tt must be a whole number of years, the laptop drops below $500 during the sixth year.

Final answer: the investment reaches approximately $8954 after 10 years and doubles in about 11.911.9 years; Sydney's projected population in 2051 is approximately 7.767.76 million; the isotope decays to 1010 mg after 1818 hours; and the laptop is worth approximately $737.28 after 4 years, falling below $500 during the sixth year.

Common traps
Using rr instead of 1+r1 + r as the base
7%7\% growth uses base 1.071.07, not 0.070.07. The base is always close to 11 for typical rates.
Sign error on decay
12%12\% decay is base 0.880.88. Easy to write 1.121.12 by reflex.
Forgetting that aa is the initial value
At x=0x = 0 the function equals aa, since b0=1b^0 = 1. Use this to read off the starting amount or the yy-intercept.
Trying to solve bx=cb^x = c without logs
Standard 2 expects you to take logs and rearrange. Use log⁡\log or ln⁡\ln, your choice; the bases cancel.
Treating the asymptote as a value the curve reaches
y=0y = 0 is approached forever but never reached, so the model never predicts exactly zero.
Mishandling a half-life exponent
A half-life of TT means the base is 0.50.5 and the exponent is (time)/T/T, not just the time. Write 0.5t/T0.5^{t/T}.
Exam technique

State the model y=abxy = a b^x with the variable named before substituting; markers reward seeing the base chosen correctly (1+r/1001 + r/100 or 1−r/1001 - r/100). For a "how long until" part, show the line where you take logs, because that is the method mark, and round only at the end. Keep the rounding sensible for the context: whole dollars for money, whole organisms for populations, and round a "falls below" answer up to the next whole period. If a table is given and you must name the model, write the ratios down to justify "exponential". And remember the asymptote in any "in the long run" interpretation: the quantity tends to zero without ever reaching it.

Note

Exponential change means a quantity gets multiplied by the same number every time period, instead of having the same amount added. That multiplier is the base bb. If bb is bigger than 1 the quantity grows; if bb is between 0 and 1 it shrinks (we call shrinking "decay"). The starting amount is aa, the value when time is 0. To pick out this pattern from a table, divide each value by the one before it: if you always get the same answer, the model is exponential.

Exam-style questions

Questions in the style of NESA exam questions on this dot point, each with a worked answer. They are written by ExamExplained unless tagged "Past paper"; the year shows the paper a question is modelled on.

2022 HSC-style4 marks
The population of bacteria in a culture is modelled by P=200(1.15)tP = 200 (1.15)^t, where tt is time in hours. Find the population after 88 hours and the time taken to reach 10001000.
Show worked answer →

At t=8t = 8: P=200(1.15)8P = 200 (1.15)^8.

(1.15)8≈3.0590(1.15)^8 \approx 3.0590.

P≈200×3.0590≈611.8P \approx 200 \times 3.0590 \approx 611.8, round to 612612 bacteria.

For P=1000P = 1000: 1000=200(1.15)t1000 = 200 (1.15)^t, so (1.15)t=5(1.15)^t = 5.

Take logs of both sides: tlog⁡1.15=log⁡5t \log 1.15 = \log 5, so t=log⁡5log⁡1.15≈0.69900.0607≈11.5t = \frac{\log 5}{\log 1.15} \approx \frac{0.6990}{0.0607} \approx 11.5 hours.

Markers reward the substitution at t=8t = 8 rounded sensibly, taking logs to solve the exponential equation, and the time to the nearest tenth of an hour.

2021 HSC-style3 marks
A car valued at $45000 depreciates at 12%12\% per annum. Find its value after 55 years using an exponential model.
Show worked answer →

Depreciation at 12%12\% means the value is multiplied by 0.880.88 each year.

Model: V=45000(0.88)tV = 45000 (0.88)^t.

At t=5t = 5: V=45000(0.88)5V = 45000 (0.88)^5.

(0.88)5≈0.5277(0.88)^5 \approx 0.5277.

V≈45000×0.5277≈23747.94V \approx 45000 \times 0.5277 \approx 23747.94, i.e. $23747.94.

Markers reward the multiplier 0.880.88 (not 0.120.12), the correct exponent, and an answer rounded sensibly. Lose half a mark for using 1.121.12 instead of 0.880.88.

Practice questions

Original practice questions graded from foundation to exam level, each with a full worked solution. Try them before revealing the solution.

foundation2 marks
The population of a town is modelled by P=8000(1.03)tP = 8000(1.03)^t, where tt is the number of years from now. Find the population the model predicts after 44 years, to the nearest whole person.
Show worked solution →

Substitute t=4t = 4. Put the value straight into the model:

P=8000(1.03)4.P = 8000(1.03)^4.

Compute the growth factor. Raise the base to the power 44:

(1.03)4=1.1255 (to 4 d.p.).(1.03)^4 = 1.1255 \text{ (to 4 d.p.)}.

Multiply and round. A population is a whole number, so

P=8000×1.1255…=9004.07…≈9004.P = 8000 \times 1.1255\ldots = 9004.07\ldots \approx 9004.

Answer: the model predicts about 90049004 people after 44 years.

foundation2 marks
A table of an exponential model P=abtP = a b^t is shown. | tt | 0 | 1 | 2 | 3 | | --- | --- | --- | --- | --- | | PP | 6 | 18 | 54 | 162 | (a) State the value of aa. (b) Find the base bb.
Show worked solution →

Part (a), read off aa. The initial value aa is the value of PP when t=0t = 0, because b0=1b^0 = 1. From the table P=6P = 6 at t=0t = 0, so

a=6.a = 6.

Part (b), find bb from the constant ratio. For an exponential model each value is the previous one multiplied by bb, so divide consecutive values:

186=3,5418=3,16254=3.\frac{18}{6} = 3, \quad \frac{54}{18} = 3, \quad \frac{162}{54} = 3.

The ratio is a constant 33, which is the base.

Answer: a=6a = 6 and b=3b = 3, so the model is P=6(3)tP = 6(3)^t.

foundation3 marks
A colony starts with 300300 bacteria and grows at 20%20\% per hour. Let PP be the number of bacteria after tt hours. (a) Write an exponential model of the form P=abtP = a b^t. (b) Find the number of bacteria after 55 hours, to the nearest whole bacterium.
Show worked solution →

Part (a), set up the model. The starting value is a=300a = 300. Growth at 20%20\% per hour gives the base b=1+20100=1.2b = 1 + \frac{20}{100} = 1.2, so

P=300(1.2)t.P = 300(1.2)^t.

Part (b), evaluate at t=5t = 5. Substitute t=5t = 5 and compute the growth factor:

(1.2)5=2.4883 (to 4 d.p.).(1.2)^5 = 2.4883 \text{ (to 4 d.p.)}.

P=300×2.4883=746.49…P = 300 \times 2.4883 = 746.49\ldots

Round for context. Bacteria are whole, so P≈746P \approx 746.

Check. The base 1.21.2 is just above 11, as expected for a 20%20\% growth rate, and 746746 is larger than the starting 300300, which is right for growth.

foundation3 marks
A drone bought for $1200 depreciates at 15%15\% per annum. Let VV be its value in dollars after tt years. (a) State the base bb for the exponential model. (b) Write the model V=abtV = a b^t. (c) Find the drone's value after 33 years, correct to the nearest cent.
Show worked solution →

Part (a), find the base. Depreciation at 15%15\% per year multiplies the value by b=1−15100=0.85b = 1 - \frac{15}{100} = 0.85 each year (not 0.150.15).

Part (b), write the model. The initial value is a=1200a = 1200, so

V=1200(0.85)t.V = 1200(0.85)^t.

Part (c), evaluate at t=3t = 3. Compute the decay factor, then multiply:

(0.85)3=0.6141 (to 4 d.p.).(0.85)^3 = 0.6141 \text{ (to 4 d.p.)}.

V=1200×0.6141…=736.95.V = 1200 \times 0.6141\ldots = 736.95.

State the answer. After 33 years the drone is worth $736.95.

Check. The base 0.850.85 is just below 11, correct for decay, and $736.95 is less than the $1200 paid.

core3 marks
After a coffee, the mass of caffeine in a person's body is 200200 mg and then decreases by 13%13\% each hour. Let CC be the mass of caffeine in mg after tt hours. (a) Write a model of the form C=abtC = a b^t. (b) Find the caffeine remaining after 66 hours, correct to 11 decimal place. (c) Find the caffeine remaining after 1010 hours, correct to 11 decimal place.
Show worked solution →

Part (a), write the model. Decreasing by 13%13\% each hour multiplies the mass by b=1−13100=0.87b = 1 - \frac{13}{100} = 0.87 (not 0.130.13). With initial mass a=200a = 200,

C=200(0.87)t.C = 200(0.87)^t.

Part (b), evaluate at t=6t = 6. Raise the base to the power 66, then multiply:

(0.87)6=0.4336 (to 4 d.p.),(0.87)^6 = 0.4336 \text{ (to 4 d.p.)},

C=200×0.4336…=86.7 mg.C = 200 \times 0.4336\ldots = 86.7 \text{ mg}.

Part (c), evaluate at t=10t = 10. Same method with exponent 1010:

(0.87)10=0.2484 (to 4 d.p.),(0.87)^{10} = 0.2484 \text{ (to 4 d.p.)},

C=200×0.2484…=49.7 mg.C = 200 \times 0.2484\ldots = 49.7 \text{ mg}.

Answer: about 86.786.7 mg remains after 66 hours and about 49.749.7 mg after 1010 hours. The base 0.870.87 is just below 11, correct for decay, and the later value is smaller, as expected.

core4 marks
$8000 is invested at 4.5%4.5\% per annum compounded annually. (a) Write a model for the value AA in dollars after tt years. (b) Find the value after 66 years, correct to the nearest cent. (c) By what percentage does the investment grow each year?
Show worked solution →

Part (a), write the model. The multiplier for one year is b=1+4.5100=1.045b = 1 + \frac{4.5}{100} = 1.045, and the initial amount is a=8000a = 8000, so

A=8000(1.045)t.A = 8000(1.045)^t.

Part (b), evaluate at t=6t = 6. Compute the growth factor to enough places to keep the cents accurate:

(1.045)6=1.302260 (to 6 d.p.).(1.045)^6 = 1.302260 \text{ (to 6 d.p.)}.

A=8000×1.302260=10418.08.A = 8000 \times 1.302260 = 10418.08.

So after 66 years the investment is worth $10418.08.

Part (c), read the percentage change. The base 1.0451.045 means a per-year multiplier of 1.0451.045, i.e. growth of 4.5%4.5\% each year.

Check. $10418.08 is more than the $8000 invested, as expected for growth at a positive rate.

core4 marks
A spreadsheet records the number of members PP of a new club at the end of each year: | tt (years) | 0 | 1 | 2 | 3 | | --- | --- | --- | --- | --- | | PP | 5000 | 5500 | 6050 | 6655 | (a) Show that an exponential model fits this data. (b) Write the model P=abtP = a b^t. (c) Use it to predict the membership after 55 years.
Show worked solution →

Part (a), test the ratio of consecutive values. For an exponential model the ratio of one value to the previous must be constant:

55005000=1.1,60505500=1.1,66556050=1.1.\frac{5500}{5000} = 1.1, \quad \frac{6050}{5500} = 1.1, \quad \frac{6655}{6050} = 1.1.

The ratio is a constant 1.11.1, so the data is exponential (a constant ratio, not a constant difference).

Part (b), write the model. The initial value is a=5000a = 5000 (the value at t=0t = 0) and the per-year multiplier is b=1.1b = 1.1, so

P=5000(1.1)t.P = 5000(1.1)^t.

Part (c), predict at t=5t = 5. Compute the growth factor and multiply:

(1.1)5=1.6105 (to 4 d.p.).(1.1)^5 = 1.6105 \text{ (to 4 d.p.)}.

P=5000×1.6105=8052.55.P = 5000 \times 1.6105 = 8052.55.

Membership is a whole number, so the model predicts about 80538053 members after 55 years.

Check. Each step multiplies by 1.11.1 (10%10\% growth), and 80538053 continues the rising pattern of the table.

core4 marks
A radioactive isotope has a half-life of 88 days. A sample starts with a mass of 240240 mg. (a) Write a model for the mass MM mg remaining after tt days. (b) Find the mass remaining after 2424 days. (c) Find the mass remaining after 2020 days, correct to 11 decimal place.
Show worked solution →

Part (a), write the model. A half-life means the base is 0.50.5 and the exponent counts how many half-lives have passed, which is t8\frac{t}{8}. With initial mass a=240a = 240,

M=240(0.5)t/8.M = 240(0.5)^{t/8}.

Part (b), evaluate at t=24t = 24. Here 248=3\frac{24}{8} = 3, exactly three half-lives:

M=240(0.5)3=240×0.125=30 mg.M = 240(0.5)^3 = 240 \times 0.125 = 30 \text{ mg}.

Part (c), evaluate at t=20t = 20. Now 208=2.5\frac{20}{8} = 2.5, so

(0.5)2.5=0.1768 (to 4 d.p.).(0.5)^{2.5} = 0.1768 \text{ (to 4 d.p.)}.

M=240×0.1768…=42.4 mg.M = 240 \times 0.1768\ldots = 42.4 \text{ mg}.

Check. Halving from 240240 gives 120,60,30120, 60, 30 at 8,16,248, 16, 24 days, so 3030 mg at 2424 days is correct, and 42.442.4 mg at 2020 days sensibly lies between the 6060 mg at 1616 days and the 3030 mg at 2424 days.

exam4 marks
The population of a country town is modelled by P=12000(1.025)tP = 12000(1.025)^t, where tt is the number of years after 20252025. Use the model to find the year during which the population first reaches 2000020000. Show how you use logarithms.
Show worked solution →

Set up the equation. Put P=20000P = 20000 into the model:

12000(1.025)t=20000.12000(1.025)^t = 20000.

Isolate the power. Divide both sides by 1200012000:

(1.025)t=2000012000=1.6667 (to 4 d.p.).(1.025)^t = \frac{20000}{12000} = 1.6667 \text{ (to 4 d.p.)}.

Take logarithms of both sides. This is the method step:

tlog⁡1.025=log⁡1.6667,t \log 1.025 = \log 1.6667,

t=log⁡1.6667log⁡1.025=0.221850.010724=20.69 (to 2 d.p.).t = \frac{\log 1.6667}{\log 1.025} = \frac{0.22185}{0.010724} = 20.69 \text{ (to 2 d.p.)}.

Interpret for the year. Since t=20.69t = 20.69 years, the population passes 2000020000 during the 2121st year after 20252025, that is during the year 20462046.

Check. At t=20t = 20, P=12000(1.025)20=19663P = 12000(1.025)^{20} = 19663, still under 2000020000; at t=21t = 21, P=12000(1.025)21=20155P = 12000(1.025)^{21} = 20155, just over, confirming the crossing is during year 2121.

exam5 marks
A factory machine is bought for $60000 and depreciates at 18%18\% per annum. (a) Write a model for the value VV in dollars after tt years. (b) Find the value after 44 years, to the nearest dollar. (c) Find the first whole year at the end of which the value has fallen below $20000. Show your use of logarithms.
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Part (a), write the model. Depreciation at 18%18\% gives base b=1−18100=0.82b = 1 - \frac{18}{100} = 0.82, with a=60000a = 60000:

V=60000(0.82)t.V = 60000(0.82)^t.

Part (b), evaluate at t=4t = 4. Compute the decay factor and multiply:

(0.82)4=0.4521 (to 4 d.p.).(0.82)^4 = 0.4521 \text{ (to 4 d.p.)}.

V=60000×0.4521…=27127.V = 60000 \times 0.4521\ldots = 27127.

So after 44 years the value is about $27127.

Part (c), solve for the value below $20000. Set V=20000V = 20000 and isolate the power:

(0.82)t=2000060000=0.3333 (to 4 d.p.).(0.82)^t = \frac{20000}{60000} = 0.3333 \text{ (to 4 d.p.)}.

Take logarithms of both sides:

t=log⁡0.3333log⁡0.82=−0.4771−0.086186=5.54 (to 2 d.p.).t = \frac{\log 0.3333}{\log 0.82} = \frac{-0.4771}{-0.086186} = 5.54 \text{ (to 2 d.p.)}.

Since tt must be a whole number of years, round up: the value first drops below $20000 at the end of the 66th year.

Check. At t=5t = 5, V=60000(0.82)5=22244V = 60000(0.82)^5 = 22244 (still above $20000); at t=6t = 6, V=60000(0.82)6=18240V = 60000(0.82)^6 = 18240 (below), confirming year 66.

exam5 marks
$15000 is invested at 5.5%5.5\% per annum compounded annually, giving A=15000(1.055)tA = 15000(1.055)^t dollars after tt years. (a) Find the value after 88 years, to the nearest cent. (b) Find the doubling time of the investment, correct to 11 decimal place, using logarithms.
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Part (a), evaluate at t=8t = 8. Compute the growth factor, then multiply:

(1.055)8=1.5347 (to 4 d.p.).(1.055)^8 = 1.5347 \text{ (to 4 d.p.)}.

A=15000×1.5347…=23020.30.A = 15000 \times 1.5347\ldots = 23020.30.

So after 88 years the investment is worth $23020.30.

Part (b), set up the doubling equation. Doubling means A=2×15000=30000A = 2 \times 15000 = 30000, so

15000(1.055)t=30000  ⟹  (1.055)t=2.15000(1.055)^t = 30000 \implies (1.055)^t = 2.

Take logarithms. This is the method step:

t=ln⁡2ln⁡1.055=0.6931470.053541=12.9 (to 1 d.p.).t = \frac{\ln 2}{\ln 1.055} = \frac{0.693147}{0.053541} = 12.9 \text{ (to 1 d.p.)}.

So the investment doubles in about 12.912.9 years. Notice the doubling time does not depend on the starting amount, only on the rate.

Check. At t=12.9t = 12.9, (1.055)12.9=1.9951(1.055)^{12.9} = 1.9951, just under 22, and the value keeps rising, so doubling occurs just after 12.912.9 years as found.

exam6 marks
An invasive water weed is first noticed covering 5050 m2^2 of a wetland, and the area it covers grows by 35%35\% each month. (a) Write a model for the area AA in m2^2 after tt months. (b) Find the area covered after 66 months, to the nearest m2^2. (c) Find the first whole month at the end of which the weed covers more than 10001000 m2^2. Show your use of logarithms.
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Part (a), write the model. Growth of 35%35\% each month gives base b=1+35100=1.35b = 1 + \frac{35}{100} = 1.35, with initial area a=50a = 50, so

A=50(1.35)t.A = 50(1.35)^t.

Part (b), evaluate at t=6t = 6. Raise the base to the power 66, then multiply:

(1.35)6=6.0534 (to 4 d.p.),(1.35)^6 = 6.0534 \text{ (to 4 d.p.)},

A=50×6.0534…=302.67…≈303 m2.A = 50 \times 6.0534\ldots = 302.67\ldots \approx 303 \text{ m}^2.

Part (c), set up the equation. Put A=1000A = 1000 and isolate the power:

50(1.35)t=1000  ⟹  (1.35)t=100050=20.50(1.35)^t = 1000 \implies (1.35)^t = \frac{1000}{50} = 20.

Take logarithms of both sides. This is the method step:

t=log⁡20log⁡1.35=1.30100.1303=9.98 (to 2 d.p.).t = \frac{\log 20}{\log 1.35} = \frac{1.3010}{0.1303} = 9.98 \text{ (to 2 d.p.)}.

Since tt must be a whole number of months, round up: the weed first covers more than 10001000 m2^2 at the end of the 1010th month.

Answer: the area is about 303303 m2^2 after 66 months, and it first passes 10001000 m2^2 at the end of month 1010.

Check. At t=9t = 9, A=50(1.35)9=744.69A = 50(1.35)^9 = 744.69 (still under 10001000); at t=10t = 10, A=50(1.35)10=1005.33A = 50(1.35)^{10} = 1005.33 (over), confirming month 1010.

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