Exponential and log models
Initial value, rate constant, value, time
- In 9 of 20 recent exams
- 2% of the marks
- Paper 2, calculator
- 1 to 3 marks
How it is set in the exam
Paper 2 (calculator) in every 2021–26 instance: 1–3 marks a part, or one unstructured part of up to 7 marks; a whole Section A question (5–7 marks), or the first parts of a Section B question that then moves to rates or a second model. Common (9 of 20 exam versions, 31 parts).
Exam phrases to spot (7)
“the mass remaining after t days is modelled by M(t)=M0e−kt”
“show that k=Tln2”
“the half-life of the substance is …”
“find the time taken for the amount to fall to …”
“after how many complete minutes is … first below …”
“interpret the value 1.035 in this context”
“give a reason why the second model is more realistic”
In disguise (6)
- calendar years as t: "t years after the start of 2016", then a question about 2027
- a percentage decayed or lost: "40% has decayed" means 60% remains
- a model that levels off, c+be−kt (cooling, a background level): the start is c+b, and c is the level it settles at
- a second, bounded model given in full: it is not a family to learn, only a formula to substitute into and solve
- a log-scale reading, such as a pH or a loudness in decibels: evaluate it, or go backwards to the input
- "write the model in the form N0ekt": k=lnb, exactly
Variants (3)
- the model: decay N0e−kt, growth N0ekt, levelling off c+be−kt, a growth factor N0bt, a bounded model given in full, a log scale
- the fact that fixes a constant: a half-life, a halving time, a percentage change between two dates, a percentage decayed, one data point
- what is asked: the initial value, k (often a show-that), a value, a time, the first whole unit, the meaning of a constant, a reason one model is better
Looks like it, but isn't (8)
- a fixed percentage per step and no formula in continuous time: a geometric sequence, Find n or Compound interest and depreciation
- how fast the model is changing, or its long-run value or long-run rate found as a limit: Rate of change in context. Saying what a given constant represents (the level c) stays here
- when a model is growing fastest (the greatest rate): Concavity and points of inflexion
- the total amount from a given rate: Total change from a rate
- an exponential equation with no context and no data: Solve an exponential equation
- when two models are equal: Solve graphically; the greatest difference between two models: Stationary points
- a periodic model (tides, a wheel): a sinusoid, in Trig graphs and sinusoidal models
- a straight line fitted to paired data, with r: Regression on the GDC. Fitting an exponential curve to data (exponential regression) is AI; in AA an exponential model is given, or its constants are found from facts stated in the question
A half-life: show that k, then a percentage broken down
A farmer sprays a field with a pesticide. The amount of pesticide in each kilogram of soil t days later is modelled by M(t)=M0e−kt milligrams, where k>0. When t=0 there are 45 mg in each kilogram, and the half-life of the pesticide is 12 days.
(a) Write down the value of M0. [1]
(b) Show that k=12ln2. [3]
(c) Find the amount of pesticide in each kilogram of soil after 30 days. [2]
(d) Find the number of days, to the nearest day, until 90% of the pesticide has broken down. [3]
Try it yourself first, then compare.
Now try one like it
Write your working on paper or on screen. Paper Zero marks it step by step, like the worked example, and shows where each mark went. Free, with no account.
- Through (0,45) and (12,22.5): 22.5=45e−12k, so e−12k=0.500 and k=−12ln0.500=0.0578 per day. The half-life is kln2=12.0 days.
- (a) At t=0, e0=1: M(0)=M0=45, the start, read off exactly.
- (b) The half-life is one fact for the one unknown: after 12 days half of 45 is left. 22.5=45e−12k, e−12k=21, −12k=ln21=−ln2, so k=12ln2. A "show that" wants these steps, not a GDC value.
- (c) M(30)=45e−0.0578×30=7.95 mg per kg: 30 days is 2.5 half-lives, so it sits between 845=5.625 and 445=11.25.
- The level M=4.5: 45e−kt=4.5, e−kt=0.100, so t=kln(45/4.5)=39.86 days: 40 to the nearest day. The whole days either side: M(39)=4.73 and M(40)=4.46; a "least number of whole days" rounds up to 40.
- (d) "90% broken down" means 10% remains: the equation is M(t)=4.5, not M(t)=40.5. After 3 half-lives (36 days) 12.5% is left and after 4 (48 days) 6.25%, so the answer lies between 36 and 48.
- a constant such as k, or a time, on
- Method
- isolate the exponential and take ln; or the GDC (solve an equation, zeros and intersections)
- Write down
- the equation with the fact substituted, then its solution
- "show that k=…"
- Method
- ln by hand, forwards, with at least two log steps seen; the GDC can't show it
- Write down
- every step down to the given form
- "after how many complete …", "the first whole …"
- Method
- solve the equation, then round up; or a table of whole-number values (table of values)
- Write down
- the solution, then the values at the whole numbers either side
- "in which year …"
- Method
- solve for t; when t=0 is the start of a year, the answer is that year plus the whole part of t: with t=0 at the start of 2016, t=21.3 is during 2016+21=2037 (not 2016+22)
- Write down
- t, then the year
- a constant of a model given in full
- Method
- the GDC: solve an equation
- Write down
- the equation
| The part asks for | Method | Write down |
|---|---|---|
| a constant such as k, or a time, on | isolate the exponential and take ln; or the GDC (solve an equation, zeros and intersections) | the equation with the fact substituted, then its solution |
| "show that k=…" | ln by hand, forwards, with at least two log steps seen; the GDC can't show it | every step down to the given form |
| "after how many complete …", "the first whole …" | solve the equation, then round up; or a table of whole-number values (table of values) | the solution, then the values at the whole numbers either side |
| "in which year …" | solve for t; when t=0 is the start of a year, the answer is that year plus the whole part of t: with t=0 at the start of 2016, t=21.3 is during 2016+21=2037 (not 2016+22) | t, then the year |
| a constant of a model given in full | the GDC: solve an equation | the equation |
- 1
Read the model:
what t measures, where t=0 is, the units, and the form (N0ekt, N0bt, c+be−kt, given in full, or a log scale).
- 2
Initial value:
t=0, and e0=1. It is exact: c+b for a levelling-off model.
- 3
A constant from one fact:
substitute the fact (half the initial value for a half-life; 0.82× the start for "fell by 18%"; 60% for "40% decayed"; a data point). Isolate the exponential, then take ln, or use the GDC. Store the unrounded value (keep full-accuracy values).
- 4
A value at a time:
turn dates into t first. Write the substitution, e.g. N(11)=2400×1.03511, then the value (define a function and evaluate it). A count of people, animals or trees is a whole number.
- 5
The time for a level:
set the model equal to the level (an inequality, such as C(t)<800, scores the same) and solve. For the first whole unit after the level is passed ("after how many complete minutes …", "the least number of whole …"), round up and check the values at the whole numbers either side. (For how many complete units a model stays above or below a level, round down.)
- 6
Interpret:
the growth factor b of N0bt, b=1+r, is "grows by r×100% per year" (the unit of time is part of the answer); c in c+be−kt is the level it settles at; a model is more realistic if it respects a limit in the context (a fixed number of people, a room temperature).
- 7
A log-scale model:
substitute to evaluate. To go back to the input, divide by the coefficient before anything else, then write the log as a power: 2log10X=7 gives log10X=3.5, so X=103.5. An exact power of 10 is accepted. An input multiplied by m changes the reading by the coefficient times log10m (the Log laws).
A percentage decayed used as the amount left
"90% has broken down" leaves 10%. Markschemes give a mark for the amount remaining.
Halving the wrong thing
in c+be−kt: "half its initial value" is half of c+b, not half of b.
Reading k as the percentage rate
e−0.05t is a fall of 4.88% per unit of time, not 5%. The rate comes from the factor per unit of time, ek.
More mistakes (12)
Rounding a time to the nearest whole unit
when the first whole unit is asked: 12.2 minutes means 13, not 12 (and 12.9 also means 13).
Ignoring the rounding the question asks for
"to the nearest day" needs 40, not 39.9; the final mark is for the form asked for.
Taking ln before isolating the exponential
ln(400+1400e−10k) does not split. Move the constant across and divide by the coefficient first: e−10k=145.
Undoing a log scale in the wrong order
2log10X=7 gives log10X=3.5 first, so X=103.5; writing X=2107 is wrong. Divide by the coefficient before writing the log as a power.
Putting the calendar year into the formula
the start of 2027 is t=11 when t counts from the start of 2016.
A value of t where a year is asked
t=21.3 is not an answer to "in which year". Count from t=0: 2037.
A rounded constant carried forward
q=0.273 gives 3273 people instead of 3272, and near a whole-number cut-off a shift like that changes the answer. Store the full value, and write 4 or 5 significant figures in the working.
An interpretation with the unit of time missing
"3.5%" is not enough; "3.5% per year" is.
A count given as a decimal
3503.9 residents is not an answer.
A GDC value in a "show that"
k=0.0578 from the calculator does not show k=12ln2.
A "show that" done backwards
substituting k=12ln2 and checking that M(12)=22.5 proves nothing. Start from 22.5=45e−12k.
A decimal where an exact k is asked
k=0.0344 is not ln1.035. Substituting a value from the calculator, such as 2400e11k=3503.9…, gives only a decimal, and markschemes give it no marks. Match the factors for every t: ek=1.035.