Equivalence of Completeness Notions in Logic

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Discussion Overview

The discussion centers around the equivalence of different definitions of completeness in logic, specifically examining whether certain conditions involving theories and sentences can be considered equivalent. The scope includes theoretical exploration and technical reasoning related to completeness notions.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant questions the equivalence of two definitions of completeness, suggesting that the second definition implies the first.
  • Another participant introduces a counterexample involving a maximally consistent set, arguing that it leads to a situation where certain derivations hold while others do not, challenging the equivalence.
  • A different participant expresses uncertainty about the assumptions of consistency and discusses how derivations can be shown in their specific system, indicating that the two definitions may not be equivalent.
  • One participant acknowledges the previous argument and reflects on the derivation process in their system, suggesting a potential understanding of the issue.
  • Another participant points out a flaw in the previous reasoning, asserting that the set does not satisfy the conditions for completeness.
  • Lastly, a participant states that a theory is defined as a set of formulas closed under derivation, implying that the two definitions are trivially equivalent under this understanding.

Areas of Agreement / Disagreement

Participants express differing views on the equivalence of the completeness definitions, with some providing counterexamples and others defending the equivalence under certain conditions. The discussion remains unresolved, with multiple competing perspectives present.

Contextual Notes

Participants do not assume consistency in their arguments, and there is a reliance on specific systems of inference, which may affect the interpretations of completeness. The discussion highlights the complexity of definitions and their implications in different logical frameworks.

Klungo
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Is it true that the following definitions of completeness are equivalent?
\mbox{For theory } \Sigma \mbox{ and for any sentence } A.

\mbox{ Either } \Sigma \vdash A \mbox{ or } \Sigma \vdash \lnot A
and
\mbox{ Either } A \in \Sigma \mbox{ or } (\lnot A) \in \Sigma.

(The second clearly implies the first.)
 
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Did you mean to include that Ʃ was maximally consistent? If not then let Ʃ be the unit set that contains only the sentence letter p. If it is granted that we can then derive q→p, we have a situation where
(1) Either q→p is derivable from Ʃ or ~(q→p) is derivable from Ʃ (because q→p is derivable)
but
(2) neither q→p nor ~(q→p) is a member of Ʃ

No?
 
No consistency is assumed.

I'm a bit unsure here.


We assume {P} derives/turnstile Q→P and show that (1) holds while (2) fails.

(Using the rules of inference my class uses at least)

{P} derives P, and
{~Q v P} derives Q → P.

So, (while skipping some steps)

either {P} derives ~Q or {P} derives P.
hence, {P} derives ~Q v P.
hence, {P} derives Q → P.

So, either {P} derives ~(Q → P) or {P} derives Q → P.
Neither of which are in {P}.

So they are not equivalent.

Is this what you mean? (Thanks for the help)
 
I think so. I was assuming that there was some way of deriving q→p from {p} without really saying what it was because systems can differ. I think what you did was show how you could get there in the system you are using.
 
There's a flaw though.

{P} does not satisfy (1). For example, neither {P} derives Q nor {P} derives ~Q. And we show that {P} doesn't satisfy (2) by example. I.e. {P} is incomplete.
 
A theory is a set of formulas closed under \vdash. So, trivially, \Sigma \vdash A and A \in \Sigma mean the same thing for any theory \Sigma.
 

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