log₁₀(1000)
Ask: “10 to what power gives 1000?” Since 10³ = 1000, the answer is immediate.
Calculate logb(x), common log, natural log, and antilog. See the change-of-base formula, nearby powers, and how the answer moves on the logarithmic scale.
| Exponent k | bk | Relation to x |
|---|
If by = x, then logb(x) = y. The calculator is solving for the missing exponent.
The number being raised to a power.
The positive number inside the logarithm.
The answer the logarithm is looking for.
Approximately 2.718281828.
For real logarithms, the argument must be positive and the base must be positive and different from 1. Base 10 is commonly called the common logarithm; base e is the natural logarithm, written ln.
These identities explain nearly every hand calculation you make with logs.
A logarithm asks for the missing exponent.
Use the same convenient base in numerator and denominator.
Multiplication becomes addition.
Division becomes subtraction.
An exponent can move to the front as a multiplier.
Taking a reciprocal changes the sign.
Use these as patterns when you want to check a result without relying on a calculator.
Ask: “10 to what power gives 1000?” Since 10³ = 1000, the answer is immediate.
Using change of base: log(100) / log(2) = 2 / 0.30103.
The logarithm and exponential undo one another when they use the same base.
Because 10⁻² = 0.01, the exponent is negative.
| x | log₁₀(x) | ln(x) | Useful observation |
|---|---|---|---|
| 0.01 | −2 | −4.605170 | Below 1 → negative logarithm. |
| 0.1 | −1 | −2.302585 | 10⁻¹ = 0.1. |
| 1 | 0 | 0 | Every valid base raised to 0 is 1. |
| 2 | 0.301030 | 0.693147 | Useful for change-of-base work. |
| 10 | 1 | 2.302585 | 10¹ = 10. |
| 100 | 2 | 4.605170 | 10² = 100. |
| 1000 | 3 | 6.907755 | 10³ = 1000. |
Different bases are useful in different contexts. The mathematics is the same; the scale changes.
| Notation | Base | Typical context | Identity |
|---|---|---|---|
| log₁₀(x) | 10 | Scientific notation, decimal orders of magnitude | 10ʸ = x |
| ln(x) | e ≈ 2.718281828 | Calculus, continuous growth, natural models | eʸ = x |
| log₂(x) | 2 | Computer science, binary scaling | 2ʸ = x |
| Expression | Result | Why |
|---|---|---|
| log_b(1) | 0 | b⁰ = 1 |
| log_b(b) | 1 | b¹ = b |
| log_b(bⁿ) | n | The logarithm retrieves the exponent. |
| log_b(0) | undefined | There is no real exponent that makes bʸ equal zero. |
| log_b(negative) | not real | The real logarithm requires a positive argument. |
Logarithms are useful when values span many orders of magnitude or when multiplication and exponential growth need to be expressed on a manageable scale.
A logarithmic scale used for hydrogen-ion concentration.
Decibels express ratios on a logarithmic scale.
Binary logarithms help describe powers of two and algorithmic growth.
Natural logarithms arise naturally in continuous growth and calculus.
Examples of logarithmic measurement include pH, decibels and several scientific scales. In mathematics and computing, logarithms also turn multiplicative relationships into additive ones, which makes many problems easier to analyze.
The most useful skill is not pressing a button; it is knowing which form to turn the equation into.
Rewrite the equation exponentially: 2⁵ = x.
Use ln(50) / ln(3). This is the standard way to evaluate an arbitrary base with a basic calculator.
Use the product rule: log₁₀(2 × 5) = log₁₀(10).
Bring the exponent forward: 2 log₅(25) = 2 × 2.
The product rule applies to multiplication, not addition.
Any algebraic solution that makes a log argument zero or negative must be rejected in the real-number setting.
Logarithms were developed as a way to make difficult multiplication, division and powers more manageable. Today they remain useful because many physical and mathematical relationships span several orders of magnitude.
John Napier published influential logarithm tables.
Multiplicative changes become additive distances.
The natural logarithm has derivative 1/x.
Logarithmic scales remain common in science and engineering.