Mathematics: Applications & Interpretation · Topic 1: Number & algebra
Exponents/logarithms in modelling
Exponents/logarithms in modelling
Why This Matters
# Exponents and Logarithms in Modelling This lesson explores exponential and logarithmic functions as essential tools for modelling real-world phenomena including population growth, radioactive decay, compound interest, and pH scales. Students learn to construct, interpret, and analyse exponential models of the form y = ka^x or y = Ae^(kx), apply logarithmic transformations to linearise data, and solve problems using both algebraic and graphical methods. This topic is fundamental to Paper 2 and the Internal Assessment, where candidates must demonstrate their ability to select appropriate models, use technology effectively, and interpret mathematical results in authentic contexts with consideration of validity and limitations.
Key Words to Know
Core Concepts & Theory
Exponential functions model situations where quantities grow or decay at rates proportional to their current value, expressed as f(x) = a·b^x where a is the initial value, b is the base (growth factor), and x is the independent variable (often time). When b > 1, we have exponential growth; when 0 < b < 1, we have exponential decay.
Logarithms are the inverse operations of exponents. If b^y = x, then log_b(x) = y. The natural logarithm uses base e (≈2.718): ln(x) = log_e(x). Key logarithm laws include:
- Product Rule: log_b(xy) = log_b(x) + log_b(y)
- Quotient Rule: log_b(x/y) = log_b(x) - log_b(y)
- Power Rule: log_b(x^n) = n·log_b(x)
- Change of Base: log_b(x) = ln(x)/ln(b)
Critical IB Connection: Linearization transforms exponential models into linear form. Taking logarithms of both sides of y = ab^x gives ln(y) = ln(a) + x·ln(b), creating a linear relationship between ln(y) and x.
The exponential model P(t) = P₀e^(kt) is fundamental, where P₀ is the initial quantity, k is the growth/decay constant (positive for growth, negative for decay), and t is time. The doubling time satisfies 2P₀ = P₀e^(kt_d), giving t_d = ln(2)/k. Similarly, half-life t_h = ln(2)/|k| for decay models.
Command words in IB include: model (create mathematical representation), determine (find specific values), interpret (explain meaning in context), and justify (provide mathematical reasoning).
Detailed Explanation with Real-World Applications
Population Growth: Bacterial colonies, human populations (under ideal conditions), and viral spread follow exponential models. Consider a bacteria population doubling every 3 hours. Starting with 100 bacteria, after t hours: P(t) = 100 × 2^(t/3). This models unrestricted growth until resources become limited.
Radioactive Decay: Carbon-14 dating uses exponential decay with a half-life of 5,730 years. If a fossil contains 25% of original Carbon-14, we solve 0.25 = e^(-kt) where k = ln(2)/5730. This gives t ≈ 11,460 years.
Financial Mathematics: Compound interest demonstrates exponential growth. An investment of £5,000 at 4% annual interest compounds to A = 5000(1.04)^t. After 10 years: A = £7,401.22. The continuous compounding formula A = Pe^(rt) models scenarios where interest compounds infinitely often.
Medicine: Drug concentration in bloodstream follows exponential decay. If a 100mg dose has a half-life of 6 hours, the model C(t) = 100e^(-kt) where k = ln(2)/6 ≈ 0.1155 predicts concentration at any time.
Think of exponential growth like a snowball rolling downhill — it starts small but accelerates rapidly as it gains mass. Each rotation adds proportionally more snow to its surface.
pH Scale and Logarithms: pH = -log₁₀[H⁺] converts hydrogen ion concentration to a manageable scale. A pH difference of 1 represents a 10-fold change in acidity. Lemon juice (pH 2) is 100 times more acidic than tomatoes (pH 4).
Sound Intensity: The decibel scale uses logarithms: L = 10log₁₀(I/I₀) where I₀ is the reference intensity. This compresses the enormous range of human hearing into a practical 0-140 scale.
Worked Examples & Step-by-Step Solutions
Example 1: A radioactive substance has a half-life of 8 days. If 200g remains after 20 days, determine the initial mass.
Solution: Use M(t) = M₀e^(-kt) where k = ln(2)/8 = 0.08664.
Substitute known values: 200 = M₀e^(-0.08664×20)
200 = M₀e^(-1.7328) → 200 = M₀(0.1768) → M₀ = 1,131g
Examiner Note: Always show the substitution step clearly. 2 marks for correct model, 1 mark for k-value, 2 marks for final answer.
Example 2: The population of a town grows according to P(t) = 45000(1.025)^t. When will the population reach 60,000?
Solution: Set up equation: 60000 = 45000(1.025)^t
Divide both sides: 1.333... = (1.025)^t
Take logarithms: ln(1.333) = t·ln(1.025)
0.2877 = t(0.02469) → t = 11.65 years
IB Requirement: Round appropriately and interpret in context: "The population will reach 60,000 during the 12th year."
Example 3: Linearize y = 5(3^x) and find the gradient.
Solution: Take natural logarithm: ln(y) = ln(5) + x·ln(3)
This is linear form Y = c + mx where Y = ln(y), c = ln(5) = 1.609, m = ln(3) = 1.099
Gradient = 1.099
Key Skill: Recognizing that ln(3) appears as the coefficient of x earns the method mark even if calculations contain minor errors.
Common Exam Mistakes & How to Avoid Them
Mistake 1: Confusing growth factor with growth rate Why it happens: Students write P(t) = P₀(1.05)^t for "5% gro...
Cambridge Exam Technique & Mark Scheme Tips
Command Word Strategy:
- "Model" (3-4 marks): State assumptions, define variables, write equation with values. Exa...
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Exam Tips
- 1.Always identify if the problem describes growth or decay first; this helps you choose the correct formula.
- 2.Remember that logarithms are used to solve for an unknown exponent (like time or rate) in an exponential equation.
- 3.Pay close attention to units (e.g., years, hours, minutes) and ensure consistency throughout your calculations.
- 4.Practice converting percentages to decimals correctly (e.g., 2.5% becomes 0.025).
- 5.If using a GDC (Graphical Display Calculator), know how to input exponential functions and use the 'solve' or 'intersect' features for logarithms.