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Exponents and logarithms (applications) - Mathematics: Analysis & Approaches IB Study Notes

Exponents and logarithms (applications) - Mathematics: Analysis & Approaches IB Study Notes | Times Edu
IBMathematics: Analysis & Approaches~5 min read

Overview

# Exponents and Logarithms (Applications) - Summary This lesson explores real-world applications of exponential and logarithmic functions, including compound interest, population growth, radioactive decay, and the pH scale. Students develop skills in modeling phenomena using equations of the form y = ka^x and solving problems involving both natural and common logarithms, which are essential for Paper 2 contextual questions. Mastery of logarithmic laws, change of base formula, and interpreting exponential models is crucial for success in both SL and HL examinations, particularly in questions worth 10-15 marks requiring multi-step reasoning.

Core Concepts & Theory

Exponents and logarithms are inverse operations fundamental to modeling exponential growth, decay, and scale transformations.

Key Definitions:

Exponential Form: a^x = b where a is the base (a > 0, a ≠ 1), x is the exponent, and b is the result.

Logarithmic Form: log_a(b) = x reads as "logarithm of b to base a equals x". This answers: "To what power must a be raised to obtain b?"

Critical Laws of Logarithms:

  • Product Rule: log_a(xy) = log_a(x) + log_a(y)
  • Quotient Rule: log_a(x/y) = log_a(x) - log_a(y)
  • Power Rule: log_a(x^n) = n·log_a(x)
  • Change of Base: log_a(x) = log_b(x)/log_b(a) = ln(x)/ln(a)
  • Special Values: log_a(1) = 0, log_a(a) = 1, a^(log_a(x)) = x

Essential Applications:

  1. Exponential Growth/Decay: N(t) = N₀e^(kt) where k > 0 (growth) or k < 0 (decay)
  2. Compound Interest: A = P(1 + r/n)^(nt)
  3. Half-life/Doubling Time: t_(1/2) = ln(2)/|k|
  4. pH Scale: pH = -log₁₀[H⁺]
  5. Richter Scale: M = log₁₀(I/I₀)

Mnemonic: "Logs Undo Exponents" — LUE reminds you they're inverses.

Natural Logarithm (ln) uses base e ≈ 2.718, appearing naturally in continuous growth models. Common logarithm (log) uses base 10, prevalent in scientific scales.

Detailed Explanation with Real-World Examples

Why Logarithms Matter:

Imagine you're tracking a viral video's views. It gains 50,000 views on day 1, doubling daily. After t days: V(t) = 50,000 × 2^t. To find when it reaches 10 million views, you need logarithms: 2^t = 200, so t = log₂(200) ≈ 7.64 days.

Real-World Applications:

1. Carbon Dating (Archaeology): Carbon-14 decays with half-life 5,730 years. If a fossil retains 35% of original C-14: N(t) = N₀e^(-kt), where k = ln(2)/5730. Solving 0.35N₀ = N₀e^(-kt) gives t = -ln(0.35)/k ≈ 8,680 years.

2. Sound Intensity (Decibels): Sound level L = 10log₁₀(I/I₀) where I₀ = 10^(-12) W/m². A concert at 110 dB has intensity I = I₀ × 10^11 = 0.1 W/m². Doubling intensity adds ~3 dB, not double dB — logarithmic scales compress large ranges.

3. Investment Growth: You invest £5,000 at 4.5% annual interest compounded quarterly. To reach £8,000: 8000 = 5000(1.01125)^(4t). Taking logarithms: 4t·log(1.01125) = log(1.6), giving t ≈ 10.6 years.

4. Earthquake Magnitude: An earthquake measuring 7.0 releases 10^(7.0-6.0) = 10 times the energy of a 6.0 quake. This logarithmic compression makes huge variations manageable.

Analogy: Think of logarithms as a "volume control" for numbers. Exponentials expand rapidly; logarithms compress them back to human-scale values, perfect for phenomena spanning many orders of magnitude.

Worked Examples & Step-by-Step Solutions

**Example 1:** *The population of bacteria doubles every 3 hours. If initially 500 bacteria are present, find when the population reaches 50,000.* **Solution:** - Model: N(t) = N₀ × 2^(t/3) where t is in hours - Setup: 50,000 = 500 × 2^(t/3) - Simplify: 100 = 2^(t/3) - Apply logarithms: log₂(100) =...

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Key Concepts

  • Exponents: A shorthand way to write repeated multiplication of the same number, like 2³ means 2 x 2 x 2.
  • Logarithms: The inverse operation of exponents, asking 'what power do I need to raise a base number to get another number?'
  • Base: The number being multiplied by itself in an exponent (e.g., the '2' in 2³).
  • Power/Index: The small number in an exponent that tells you how many times to multiply the base (e.g., the '3' in 2³).
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Exam Tips

  • Always read the question carefully to identify if it's a growth or decay problem, and if it's discrete or continuous.
  • Convert all percentages to decimals (divide by 100) before plugging them into any formula.
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