Limitations of Proving Theorems: Is Infinity a Barrier?

  • Thread starter cragar
  • Start date
  • Tags
    Theorem
In summary: Suppose there's some other system that is powerful enough to prove the theorem without needing the infinite amount of information. then within that system it would be provable. In that sense, it could be said to be within the domain of that system.In summary, a theorem requiring an uncountable amount of information or symbols to prove it could be true, but unprovable.
  • #1
cragar
2,552
3
If a theorem required an uncountable amount of information or symbols to prove it, would this mean it could be true but unprovable. Are we just limited because we can only write a countable number of symbols? Could the theorem be proved in some other sense?
 
Physics news on Phys.org
  • #2
Necessarily, a proof is of finite length. Of course, it may be unprovable in one formal system for this reason, but provable in a more powerful one.
 
  • #3
so in a certain model that theorem might require an infinite amount of information to prove it, but in another more powerful model it might only need a finite amount of information to prove it. When you say more powerful, do you mean different axioms of more axioms.
 
  • #4
cragar said:
so in a certain model that theorem might require an infinite amount of information to prove it, but in another more powerful model it might only need a finite amount of information to prove it. When you say more powerful, do you mean different axioms of more axioms.
If different axioms it would be effectively a different theorem. It would have to be added axioms.
 
  • #5
ok, so If i had a theorem that required an infinite amount of information to prove it, but then if I just took that as an axiom I could could compress an infinite amount of information into a single finite statement.
 
  • #6
Maybe, but I'm doubtful about the very concept of a theorem requiring an infinite proof. Proofs are not infinite by definition. All you can say is that the proposition is neither provable nor disprovable within the system, in which case, yes, you can add it (or its negation) as an axiom.
 
  • #7
haruspex said:
Maybe, but I'm doubtful about the very concept of a theorem requiring an infinite proof. Proofs are not infinite by definition.
Well, at least normally. But look at this.
 

FAQ: Limitations of Proving Theorems: Is Infinity a Barrier?

1. What is the definition of provability in mathematics?

Provability in mathematics refers to the ability to demonstrate or prove that a statement or theorem is true using a logical sequence of steps or rules. Essentially, it is the process of showing that a statement can be derived from a set of axioms or previously proven theorems.

2. How do mathematicians determine the provability of a theorem?

Mathematicians use a combination of logical reasoning and mathematical techniques to determine the provability of a theorem. This involves breaking down the theorem into smaller, more easily provable statements and using axioms and previously proven theorems to build a logical argument.

3. Are all theorems provable?

No, not all theorems are provable. Some statements or theorems may be independent of a particular set of axioms or may require a higher level of mathematical understanding to prove. In some cases, a theorem may be unprovable due to limitations in our current mathematical knowledge or methods.

4. Can a theorem be proven in more than one way?

Yes, a theorem can be proven in multiple ways using different logical arguments or mathematical techniques. This is known as alternative or different proofs. In mathematics, having multiple proofs of a theorem can increase our understanding and confidence in its truth.

5. What is the significance of proving a theorem?

Proving a theorem is a fundamental part of mathematics as it allows us to determine the truth or falsity of a statement. It also helps to build upon existing knowledge and can lead to the discovery of new theorems and mathematical concepts. Additionally, proving a theorem can have practical applications in various fields, such as physics, engineering, and computer science.

Back
Top