Computer Science Shower Thoughts: Big O Notation Isn't Universal
Brainfuck is probably the most famous esoteric programming language out there. Brainfuck programs live on an infinite array (tape) of bytes, with some pointer (tape head) which starts at position 0, but which can be moved around. The entire language has just 8 commands:
+: Increment the tape head
-: Decrement the tape head
[: If the current cell contains zero, jump to the next ']'
]: If the current cell does not contain zero, jump to the previous '['
>: Move the tape head right
<: Move the tape head left
.: Print the current cell as an ASCII character to the output
,: Receive a character from the input
You may notice that there's no random access memory here. In Brainfuck, array access is an O(n) operation. This just goes to show that Big O notation is not canonical. Our current system is a product of the von Neumann architecture, and two people designing computer science from the ground up would not necessarily come up with the same system for algorithmic analysis. In fact, the people who did design computer science from the ground up didn't design this system for algorithmic analysis. Brainfuck is modeled after Alan Turing's idea of a "Turing Machine", which also has O(n) memory access.
That's why complexity classes jump from P to NP. O(n) is a fuzzy, abstract idea defined by our computer architecture and definition of "n". Polynomial time is a loose, but strictly defined limit on our time complexity. We could use Brainfuck to turn array access into an O(n) operation, then use a linked list to store our tape and turn it into an O(n^2) operation, then run that in a Brainfuck virtual machine to turn it into an O(n^3) operation, but we will never go beyond polynomial time. Array access sometimes takes O(1) time, but it always takes polynomial time.
If we want to rigorously define Big O notation, we have to define our "n" values, and which operations are O(1). In the von Neumann architecture, setting a memory cell, reading a memory cell, arithmetic, and jumps are all O(1) operations.
That's all I really have to say, I pretty much wrote this entire article mentally in the shower and typed it out, I don't really have a satisfying ending to this though.