Calculates the base-2 logarithm of a number.
LOG2(number)
number is the value you want to find the base-2 logarithm of.
Example:
If number contains 12:
LOG2(12)
returns 3.584962501
Number:
Result:
An application of the LOG2 function is in computer science, specifically when dealing with data storage and binary representation.
Let's consider a simple example: a hypothetical digital music player that uses a logarithmic scale to display the number of songs stored. The player has a limited memory, and the number of songs it can hold is a power of 2.
The LOG2 function helps us determine the number of bits required to uniquely identify each song in the memory.
The Example:
Imagine our music player has a capacity to store a certain number of songs. The capacity is determined by the number of bits used to address each song. The number of songs it can hold is 2n, where n is the number of bits.
The LOG2 function, in this case, helps us find n. So, log2(number of songs)=n.
Let's say the music player has different models with varying storage capacities:
Number of Songs (N) | log2(N) | Number of Bits (n) | Explanation | ||
|---|---|---|---|---|---|
A | B | C | D | ||
1 | 2 | log2(2) | 1 | To distinguish between 2 songs, you only need 1 bit (0 or 1). | |
2 | 4 | log2(4) | 2 | You need 2 bits to uniquely identify 4 songs (00, 01, 10, 11). | |
3 | 8 | log2(8) | 3 | With 3 bits, you can have 8 unique addresses (000 to 111). | |
4 | 16 | log2(16) | 4 | A 4-bit address can identify 16 songs (0000 to 1111). | |
5 | 32 | log2(32) | 5 | You need 5 bits to store the addresses for 32 songs. | |
6 | 64 | log2(64) | 6 | A 6-bit address can identify 64 songs. |
In this example:
This concept is fundamental in computer science, where memory addresses, data compression, and many algorithms rely on powers of 2 and the logarithmic relationship between the number of items and the number of bits needed to represent them.
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