What is Integer Complexity and Why Does It Matter?

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Discussion Overview

The discussion revolves around the concept of integer complexity, which involves determining the minimum number of 1's required to express a given integer using basic arithmetic operations. Participants explore its historical context, mathematical implications, and various interpretations of what constitutes valid expressions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants introduce integer complexity with examples, noting that the complexity of a number is defined by the minimum number of 1's in its arithmetic expression.
  • There is a suggestion that integer complexity might relate to the sum of prime factors, though this is questioned by others.
  • Participants discuss the allowed operations in expressions, debating whether subtraction and division should be included alongside addition and multiplication.
  • Some express uncertainty about the implications of allowing more mathematical symbols, suggesting that it could lead to bounded complexity for all numbers.
  • Examples of complex expressions for specific integers are provided, with calculations of their respective complexities.
  • One participant proposes that the lowest possible complexity may be proportional to the logarithm of the number, referencing upper and lower bounds found in literature.
  • There is a discussion about the properties of the complexity function, including inequalities and potential counterexamples to certain assumptions.
  • Some participants express confusion over specific notations and examples used in the discussion, seeking clarification on the methods presented.

Areas of Agreement / Disagreement

Participants do not reach a consensus on several points, including the definition of valid arithmetic expressions, the implications of including various mathematical operations, and the properties of the complexity function. Multiple competing views remain throughout the discussion.

Contextual Notes

Limitations include unresolved definitions of allowed operations in expressions, assumptions about the boundedness of complexity, and the complexity function's properties that remain unproven or unclear.

SSequence
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Not a question as such, but an interesting notion that I came upon (maybe some other people would find it interesting too). It seems to have been introduced in 1950's and seems a good amount of work has been done on it.
For example:
12=(1+1+1)*(1+1+1+1)
So the complexity of 12 is 7 since it can be represented by a minimum of seven 1's in an arithmetic expression (that only uses 1's). Similarly:
6=(1+1+1)*(1+1)
So the complexity of 6 is 5 since it can be represented by a minimum of five 1's in an arithmetic expression (that only uses 1's).

============================

I don't know how well this notion is known. I guess it would depend on interest/knowledge of specific area (e.g. someone with interest/knowledge of combinatorics would have more likely heard of it).
 
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Isn't this just the sum of the prime factors of each number?
 
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Drakkith said:
Isn't this just the sum of the prime factors of each number?
The sum of the prime factors of ##2^{82,589,933}-1## is ##2^{82,589,933}-1##, but its complexity is at most ##2*82,589,933+1## or ##165,179,867##.
I suppose OP could have given more illuminative examples, though 😁
 
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What exactly is allowed in the arithmetic expression? Addition and multiplication obviously, I guess subtraction and division as well. Something else?
There is some complexity in choosing that expression on its own.

If you allow all common mathematical symbols then numbers have a bounded complexity, because it's possible to express all of them with a suitably long combination of square roots and similar things using a fixed set of "1".
 
suremarc said:
The sum of the prime factors of ##2^{82,589,933}-1## is ##2^{82,589,933}-1##, but its complexity is at most ##2*82,589,933+1## or ##165,179,867##.
I suppose OP could have given more illuminative examples, though 😁
Is this the largest known prime number of the form ##2^n-1##?
 
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mfb said:
What exactly is allowed in the arithmetic expression? Addition and multiplication obviously, I guess subtraction and division as well. Something else?
There is some complexity in choosing that expression on its own.
As I have been able to understood the definition, valid arithmetic expressions with the following five alphabet (base symbols):
{ ( , ) , *, +,1 }

So for a given number ##n \in \mathbb{N}^+##, we would write all the expressions which evaluate to the value ##n## and count the number of ##1##'s in each of those expressions. There will be one or more expressions containing the smallest number of ##1##'s. That would be the (integer) complexity of ##n##.

==============================

Good point w.r.t. minus and division. I am wondering how much things would change with allowing minus and division.

mfb said:
If you allow all common mathematical symbols then numbers have a bounded complexity, because it's possible to express all of them with a suitably long combination of square roots and similar things using a fixed set of "1".
I didn't understand this. Any example?

===============================

With regards, to more non-trivial examples, here are few I found in a paper (in the introduction part). I am just copying the examples (and assuming these are expressions with minimal number of 1's):
## 75025 = (1 + 2^2)(1 + 2^2)(1 + 2(1 + 2^2)(1 + 2^2)(2^2.3(1 + 2^2)))##

complexity=1+4+1+4+1+2+5+5+7+1+4=35

and:
##2^{27}−1 = 134217727 = (1 + 2·3)(1 + 2^3·3^2)(1 + 2^9·3^3(1 + 2·3^2))##

complexity=1+5+1+6+6+1+18+9+1+2+6=56
 
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Upon inspection, it felt to me as if the lowest possible complexity should be proportional to ##\log n##. I assumed the best possible case was ##2^n## with a complexity of 2n. Actually, this has been solved according to the Wikipedia article, which gives upper and lower bounds that are proportional to ##\log n##. Turns out the lower bound is ##3n\log_3(2)\approx 1.89n##, which is just shy of ##2n##. Neat stuff.

Delta2 said:
Is this the largest known prime number of the form ##2^n-1##?
Affirmative.

mfb said:
If you allow all common mathematical symbols then numbers have a bounded complexity, because it's possible to express all of them with a suitably long combination of square roots and similar things using a fixed set of "1".
After thinking about it, I don’t know if this is true. Addition, subtraction, multiplication, addition, and exponentiation are all binary operations, so you can only express a finite amount of numbers using them. And the square root can be applied only a finite amount of times if the codomain is restricted to the integers, so I think adjoining a square root would not change this.
If the complexity were bounded, there would have to be some ##k## for which there are infinitely many numbers with complexity ##k##.
 
SSequence said:
I didn't understand this. Any example?
If I would have rememberd the exact method I would have posted it. Anyway, I found it again:

$$n = \frac{-2}{\ln(4)} \ln\left( \frac{\sqrt{\sqrt{\dots\sqrt{4}}}}{ln(4)} \right)$$
where you need n square roots and 2 and 4 can be expressed with 1s in the trivial way. This is coming from the challenge to express natural numbers with 4 "4", you can probably convert this to use 2 instead of 4 to reduce the number of "1"s. Anyway, it's a finite set if square roots and logarithms are allowed.

@suremarc: There are more common mathematical symbols and no one required the expression to operate purely in the integers.

I don't understand why the author chose such a confusing notation for 75025.
75025 = 5*5*(1+2*2*2*3*5*5*5).
Writing 5 as 1+22 does nothing to make things simpler and writing identical factors in different places isn't going to help either.
 
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For the sake of reference, here is the paper I copied the examples from: https://arxiv.org/abs/1404.1850
(the examples can be found at the beginning of second page)
 
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  • #10
So the domain and co-domain of the complexity function ##C## is the set of positive integers and (among other properties) it satisfies
1) ##C(1) = 1##
2) ##C(x + y) \le C(x) + C(y)##
3) ##C(xy) \le C(x) + C(y)##

Does it satisfy any interesting inequalities of the form ##C(x) \ge## ...? or ##C(x+y) \ge##...? or ##C(xy) \ge##...?
 
  • #11
https://oeis.org/A005245

There is the trivial ##C(x) \geq 3 floor(\log_3(x))## with equality for powers of 3.

I don't have a tool to explore this numerically, but I could imagine that C(xy)>C(x) is not always true. Good candidates would be x=(3n+1)/2 and y=2 (with n>4).
Edit: C(1486)=22, C(743)=22
743 is a prime, instead of multiplying it by 2 we write 1486 as 1485+1 and 1485 = 33*(1+2*33) has a nice composition.
This is the only counterexample up to 1600 that I found looking for a factor 2.

Edit: How could I forget that.
C(x)=min(C(z)+C(y)|z+y=x ##\lor## z*y=x)
 
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  • #12
mfb said:
Edit: How could I forget that.
C(x)=min(C(z)+C(y)|z+y=x ∨ z*y=x)
I wrote this down too, but don’t know how to get anything useful out of it.
 
  • #13
It's a fast method to calculate C(x) for all x from 1 to N.
 

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