Log Base 2 Calculator

Calculate binary logarithms (log₂) and inverse calculations with detailed explanations

Binary Logarithm Calculator

Must be a positive number (x > 0)

log₂(x) = result

Powers of 2 Reference

2^-30.125
2^-20.25
2^-10.5
2^01
2^12
2^24
2^38
2^416
2^532
2^664
2^7128
2^8256

Common Log₂ Values

log₂(1)0
log₂(2)1
log₂(4)2
log₂(8)3
log₂(16)4
log₂(32)5
log₂(64)6
log₂(128)7
log₂(256)8
log₂(512)9
log₂(1024)10

Binary Logarithm Tips

log₂(1) = 0 for any base

log₂(2) = 1 by definition

Binary logarithms are used in computer science

Powers of 2 give integer results

Useful for bit calculations and data storage

Understanding Binary Logarithms (Log Base 2)

What is a Binary Logarithm?

The binary logarithm, denoted as log₂(x), is the logarithm with base 2. It answers the question: "To what power must we raise 2 to get the value x?" For example, log₂(8) = 3 because 2³ = 8.

Why Base 2?

  • Fundamental in computer science and digital systems
  • Used in information theory for measuring data in bits
  • Essential for binary search algorithms
  • Important in data compression and encoding

Calculation Methods

Change of Base Formula

log₂(x) = ln(x) / ln(2)
log₂(x) = log₁₀(x) / log₁₀(2)

Properties

  • log₂(a × b) = log₂(a) + log₂(b)
  • log₂(a / b) = log₂(a) - log₂(b)
  • log₂(a^n) = n × log₂(a)
  • 2^(log₂(x)) = x (for x > 0)

Applications in Computer Science

Algorithm Analysis

Binary search has O(log₂ n) time complexity, meaning it takes log₂(n) steps to find an element.

Data Storage

To store n different values, you need ⌈log₂(n)⌉ bits. For example, 256 values need 8 bits.

Information Theory

Information content is measured in bits using log₂, where each bit represents one binary decision.