Log Base B Calculators
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Log Base b Definition
log_b(x) = y ↔ b^y = x
Conditions: b > 0, b ≠ 1, x > 0. Common bases: b = 10 (common log, 'log'); b = e ≈ 2.718 (natural log, 'ln'); b = 2 (binary log, 'log₂').
Change of Base Formula
log_b(x) = log₁₀(x) / log₁₀(b) = ln(x) / ln(b)
Calculator: most scientific calculators have log (base 10) and ln (base e) keys. For any other base: log_b(x) = log(x)/log(b) or ln(x)/ln(b). Excel: =LOG(x, b) gives log_b(x).
Log Base 2 (log₂) Applications
- Bits of information: log₂(number of possibilities). 8-bit byte: 2^8 = 256 possibilities = 8 bits
- Fold change in genomics: log₂(treated/control). log₂(FC) = 1 means 2× up; −1 means 2× down
- Shannon diversity index: some texts use log₂ (bits) instead of ln (nats)
- Doubling time calculations: n doublings = log₂(final/initial) = (ln(final/initial))/ln(2)
Properties of log_b
- log_b(a×c) = log_b(a) + log_b(c)
- log_b(a/c) = log_b(a) − log_b(c)
- log_b(a^n) = n × log_b(a)
- log_b(b) = 1; log_b(1) = 0
- log_b(x) = log_c(x) / log_c(b) (general change of base)
Glossary
Frequently Asked Questions
Change of base formula: log_b(x) = log₁₀(x)/log₁₀(b) = ln(x)/ln(b). Any base logarithm can be calculated from the log₁₀ or ln function available on all scientific calculators. Example: log₂(100) = log(100)/log(2) = 2/0.3010 = 6.64. In Excel: =LOG(100,2) = 6.64. Interpretation: 2^6.64 = 100. Another example: log₃(81) = log(81)/log(3) = 1.908/0.477 = 4.0. Verify: 3^4 = 81 ✓.
Log₂ is fundamental in computer science (binary system — each bit doubles the number of states) and information theory (Shannon entropy uses log₂ to measure bits of information). In molecular biology: RNA-seq and microarray data use log₂ fold change (log₂FC) to express gene expression differences — log₂FC = 1 means 2-fold upregulation; −1 = 2-fold downregulation; 0 = no change. Symmetric scale: a 4-fold upregulation (+2 log₂FC) and a 4-fold downregulation (−2 log₂FC) are equally spaced from 0. Population doublings: n = log₂(N_final/N_initial) — directly gives the number of cell divisions.
Use change of base: log₂(x) = log(x)/log(2) = ln(x)/ln(2) = log(x)/0.3010 = ln(x)/0.6931. Example: log₂(1000) = log(1000)/log(2) = 3.000/0.3010 = 9.97. On a scientific calculator: press log(1000) → divide by log(2): 3/0.3010 = 9.97. In Excel: =LOG(1000,2) = 9.97. As a quick mental approximation: log₂(x) ≈ 3.32 × log₁₀(x); so log₂(1000) ≈ 3.32 × 3 = 9.97 (exact).
Log₂ fold change (log₂FC) = log₂(treated/control) is the standard metric for reporting differential gene expression. Advantages: symmetric around zero — log₂FC = +2 (4-fold up) is the mirror of −2 (4-fold down), making visualization and statistical analysis natural. Values are additive — a gene going from 2-fold to 4-fold up changes by 1 log₂ unit. Threshold for 'significant' differential expression: often |log₂FC| ≥ 1 (2-fold change) plus a significance threshold (FDR-adjusted p < 0.05 from DESeq2 or edgeR). Volcano plots display −log₁₀(p-value) vs. log₂FC to show both fold change and statistical significance simultaneously.