Writing out $2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2 \times 2$ is tedious and prone to counting errors. Exponential notation provides a concise, universal shorthand for repeated self-multiplication: 2 multiplied by itself 8 times is written compactly as $2^8$.
For any real number $a$ multiplied by itself $n$ times:
$$\mathbf{a^n = \underbrace{a \times a \times a \times \dots \times a}_{n \text{ factors}}}$$
- Base ($a$): The repeated factor being multiplied.
- Index / Exponent / Power ($n$): The integer indicating how many times the base occurs as a factor.
- Sign Behavior for Negative Bases:
• $(-a)^{\text{even power}} = +a^{\text{even}}$ (e.g., $(-2)^4 = (-2)(-2)(-2)(-2) = +16$)
• $(-a)^{\text{odd power}} = -a^{\text{odd}}$ (e.g., $(-2)^3 = (-2)(-2)(-2) = -8$)
Problem: Express $729$ in exponential form with base $3$, and $128$ with base $2$.
Step 1 (Prime factorize 729):
$729 = 3 \times 243 = 3 \times 3 \times 81 = 3 \times 3 \times 3 \times 27 = 3 \times 3 \times 3 \times 3 \times 9 = 3^6$
Step 2 (Prime factorize 128):
$128 = 2 \times 64 = 2 \times 2 \times 32 = 2^7$
Answer: $729 = \mathbf{3^6}$ (Base 3, Exponent 6); $128 = \mathbf{2^7}$ (Base 2, Exponent 7).
Students often evaluate $2^5$ as $2 \times 5 = 10$. This is fundamentally incorrect!
Correct: $2^5 = 2 \times 2 \times 2 \times 2 \times 2 = \mathbf{32}$.
Computer memory architecture uses powers of 2 ($1\text{ KB} = 2^{10}\text{ Bytes} = 1024\text{ B}$, $1\text{ MB} = 2^{20}\text{ B}$, $1\text{ GB} = 2^{30}\text{ B}$).