Could there be an error in the proof of the Poincare conjecture?

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SUMMARY

The discussion centers on the proof of the Poincaré conjecture by Grisha Perelman, emphasizing that while the proof has undergone multiple reviews, absolute certainty of its correctness can never be achieved due to human error. Participants argue that each review increases confidence but does not guarantee perfection. The conversation also touches on the philosophical implications of certainty in mathematics and the nature of peer review, suggesting that while we can be almost certain of the proof's validity, it remains theoretically unproven.

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  • Understanding of the Poincaré conjecture and its significance in topology.
  • Familiarity with mathematical proofs and peer review processes.
  • Knowledge of probability theory, particularly concepts like "almost certain" and "law of large numbers."
  • Basic understanding of geometric series and their convergence.
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  • Research the implications of the Poincaré conjecture in topology and its proof by Perelman.
  • Explore the principles of mathematical certainty and the role of peer review in validating proofs.
  • Study probability theory, focusing on concepts like sample space and probability measures.
  • Investigate the mathematical concept of infinite series, particularly geometric series and their applications.
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Mathematicians, researchers in topology, students studying mathematical proofs, and anyone interested in the philosophy of mathematics and peer review processes.

alexmahone
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When Grisha Perelman submitted his proof of the Poincare conjecture, he may have been reasonably sure that it contained no mistakes. But he could not have been 100% sure as he is, after all, human. Each time it was checked, say by the referee of an academic journal, the probability that it contains no mistakes increases. But does it ever reach 100%? After all, the referees and checkers are human as well and they could theoretically have overlooked some subtle flaw in the proof.

So, I claim that we can be almost certain that the Poincare conjecture has been proved, but in theory we can never be 100% sure.

Comments?
 
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Alexmahone said:
When Grisha Perelman submitted his proof of the Poincare conjecture, he may have been reasonably sure that it contained no mistakes. But he could not have been 100% sure as he is, after all, human. Each time it was checked, say by the referee of an academic journal, the probability that it contains no mistakes increases. But does it ever reach 100%? After all, the referees and checkers are human as well and they could theoretically have overlooked some subtle flaw in the proof.

So, I claim that we can be almost certain that the Poincare conjecture has been proved, but in theory we can never be 100% sure.

Comments?

1) 0.99999... = 1

2) "Conjecture" - Will its name change when it is proven? As a conjecture, it is, by definition, unproven.
 
tkhunny said:
1) 0.99999... = 1

The proof has been checked only by finite number of people, so we can't be 99.999...% sure it's right.
 
Alexmahone said:
The proof has been checked only by finite number of people, so we can't be 99.999...% sure it's right.
Except that the sum rule [math]S = \frac{a_0}{1 - r}[/math] for an infinite geometric series is a proven fact. So 0.99999... = 1 is a certainty.

-Dan
 
topsquark said:
Except that the sum rule [math]S = \frac{a_0}{1 - r}[/math] for an infinite geometric series is a proven fact. So 0.99999... = 1 is a certainty.

-Dan
I'm confused now.
 
Alexmahone said:
So, I claim that we can be almost certain that the Poincare conjecture has been proved, but in theory we can never be 100% sure.
Comments?

This is a difficult claim to substantiate mathematically. How would you model this probabilistically (sample space, event space, probability measure) such that terms such as "almost certain" and the "law of large number of reviewers" become precisely defined and formulated?
June29 said:
I'm confused now.

An infinite (i.e. limiting) decimal expansion is well-defined in terms of a geometric series.

On a more "soft" level:

Mathematics is a human activity, and so is peer review. However, the bigger the claim, the more numerous and scrutinous the reviewers will be. In general, errors will always remain possible, also because reviewing is a "ungrateful" task: If a reviewer checks a tedious argument, he may spend (possibly a lot of) time on it, while the author(s) reap the benefits - no matter the outcome of the check.
 
June29 said:
I'm confused now.
Here's a derivation. Please let us know if you have any difficulties with it.

[math]0.99999... = \frac{9}{10} + \frac{9}{100} + \frac{9}{1000} + \text{ ...}[/math]

[math]= \left ( \frac{9}{10} \right ) \left ( 1 + \frac{1}{10} + \frac{1}{100} + \frac{1}{1000} + \text{ ...} \right )[/math]

This is a geometric series with [math]a_0 = \frac{9}{10}[/math] and [math]r = \frac{1}{10}[/math]

So
[math]S =\frac{9}{10} ~ \sum_{n = 0}^{\infty} \left ( \frac{1}{10} \right ) ^n = \frac{\frac{9}{10}}{1 - \frac{1}{10}}[/math]

[math]= \frac{\frac{9}{10}}{\frac{9}{10}} = 1[/math]

-Dan
 
I know that $0.{\overline 9} =1.$ I was confused by how the conversation got to whether or not $0.{\overline 9} =1$ is proven/certainty! (Rofl)
 
June29 said:
I know that $0.{\overline 9} =1.$ I was confused by how the conversation got to whether or not $0.{\overline 9} =1$ is proven/certainty! (Rofl)

1) Set the level certainty that satisfies you.
2) Find enough reviewers.

"Certainty" in this mortal world is only an intellectual construct. Search more for "sufficiency".
 

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