🌲 Introduction to Logarithms
Logarithms are the inverse of exponential functions! Unlock this powerful mathematical tool used in science, engineering, and technology.
🔄 What is a Logarithm?
A logarithm answers the question: "To what power must I raise the base to get this number?"
The Definition
$$\text{If } b^y = x, \text{ then } \log_b(x) = y$$
Translation:
- $\log_b(x)$ means "log base $b$ of $x$"
- It's asking: "$b$ to what power gives $x$?"
Examples
- $\log_2(8) = 3$ because $2^3 = 8$
- $\log_{10}(100) = 2$ because $10^2 = 100$
- $\log_5(25) = 2$ because $5^2 = 25$
- $\log_3(27) = 3$ because $3^3 = 27$
Key Insight: Logarithms are the INVERSE operation of exponentiation!
Just like subtraction undoes addition, logarithms undo exponentiation ✨
📌 Common and Natural Logarithms
Two special logarithms are used so often, they get their own notation!
Common Logarithm (Base 10)
$\log(x)$ without a base written means $\log_{10}(x)$
- $\log(10) = 1$ because $10^1 = 10$
- $\log(100) = 2$ because $10^2 = 100$
- $\log(1000) = 3$ because $10^3 = 1000$
- $\log(1) = 0$ because $10^0 = 1$
Natural Logarithm (Base $e$)
$\ln(x)$ means $\log_e(x)$ where $e \approx 2.71828...$
The number $e$ is called Euler's number, fundamental in calculus!
- $\ln(e) = 1$ because $e^1 = e$
- $\ln(e^2) = 2$ because $e^2 = e^2$
- $\ln(1) = 0$ because $e^0 = 1$
💡 Calculator tip: Most calculators have "LOG" (base 10) and "LN" (base $e$) buttons!
⚡ Properties of Logarithms
These powerful properties make complex calculations much simpler!
The Three Main Properties
1. Product Property:
$$\log_b(xy) = \log_b(x) + \log_b(y)$$
Multiplication inside becomes addition outside!
Example: $\log_2(8 \cdot 4) = \log_2(8) + \log_2(4) = 3 + 2 = 5$
2. Quotient Property:
$$\log_b\left(\frac{x}{y}\right) = \log_b(x) - \log_b(y)$$
Division inside becomes subtraction outside!
Example: $\log_3(27 \div 9) = \log_3(27) - \log_3(9) = 3 - 2 = 1$
3. Power Property:
$$\log_b(x^n) = n \cdot \log_b(x)$$
An exponent inside can be pulled out front!
Example: $\log_2(8^3) = 3 \cdot \log_2(8) = 3 \cdot 3 = 9$
🎯 Evaluating Logarithms
Convert between exponential and logarithmic form to solve problems!
Strategy: Ask the Key Question
To find $\log_b(x)$, ask: "$b$ to what power equals $x$?"
Example 1: Find $\log_4(64)$
Ask: "$4$ to what power equals $64$?"
Try powers of 4: $4^1 = 4$, $4^2 = 16$, $4^3 = 64$ ✓
$$\log_4(64) = 3$$
Example 2: Find $\log_5(1)$
Ask: "$5$ to what power equals $1$?"
Any number to the zero power equals 1!
$$\log_5(1) = 0$$
Example 3: Find $\log_7(7)$
Ask: "$7$ to what power equals $7$?"
$$\log_7(7) = 1$$
Important Facts
- $\log_b(1) = 0$ for any base $b$ (because $b^0 = 1$)
- $\log_b(b) = 1$ for any base $b$ (because $b^1 = b$)
- $\log_b(b^x) = x$ (logarithm undoes exponentiation!)
🔧 Change of Base Formula
Calculate any logarithm using only common or natural logs!
The Formula
$$\log_b(x) = \frac{\log(x)}{\log(b)} = \frac{\ln(x)}{\ln(b)}$$
This lets you find any logarithm with a calculator!
Example: Find $\log_2(10)$
Most calculators don't have base-2 logarithms, so use change of base:
$$\log_2(10) = \frac{\log(10)}{\log(2)} = \frac{1}{0.301} \approx 3.32$$
Example: Find $\log_5(50)$
$$\log_5(50) = \frac{\ln(50)}{\ln(5)} \approx \frac{3.912}{1.609} \approx 2.43$$
📝 Expanding and Condensing Logarithms
Use properties to rewrite logarithmic expressions!
Expanding (Breaking Apart)
Example 1: Expand $\log_3(9x^2)$
$= \log_3(9) + \log_3(x^2)$ (product property)
$= 2 + 2\log_3(x)$ (power property) ✨
Example 2: Expand $\log\left(\frac{x^3}{y^2}\right)$
$= \log(x^3) - \log(y^2)$ (quotient property)
$= 3\log(x) - 2\log(y)$ (power property)
Condensing (Combining)
Example 1: Condense $2\log(x) + \log(y)$
$= \log(x^2) + \log(y)$ (power property)
$= \log(x^2y)$ (product property) ✨
Example 2: Condense $3\ln(x) - \ln(y)$
$= \ln(x^3) - \ln(y)$ (power property)
$= \ln\left(\frac{x^3}{y}\right)$ (quotient property)
🌟 Real-World Applications
- 🔊 Sound: Decibels use logarithms: $dB = 10\log\left(\frac{I}{I_0}\right)$
- 🌍 Earthquakes: Richter scale is logarithmic
- 🧪 Chemistry: pH scale: $pH = -\log[H^+]$
- 💻 Computer Science: Algorithm complexity, binary search
- 📊 Data Science: Log transformations for skewed data
- 💰 Finance: Compound interest calculations
- 🔬 Science: Measuring extremely large or small quantities
🎯 Practice Questions
Master logarithms!
🔥 Challenge Questions
Advanced logarithm problems!