From: |-|ercules on
"Aatu Koskensilta" <aatu.koskensilta(a)uta.fi> wrote
> "|-|ercules" <radgray123(a)yahoo.com> writes:
>
>> Aren't you the logician who proved that there is a formal proof for
>> every informal proof.... errr... with an informal proof?
>
> You're thinking of someone else.



Another Aatu Koskensilta?


Aatu Koskensilta wrote:
All mathematical proofs can be formalised, after all.

Is that a statement of incontrovertible fact, or a statement of faith?

Yes.

Good.

Yes. That all mathematical proofs can be formalised is in a sense a
triviality these days -- we simply would regard an argument we don't see
how to formalise as falling short of the standard of rigour in
mathematics, thinking there must be something obscure in it, that some
steps must be spelled out more fully, that some detail has eluded us,
and so on. This we have learned from experience, a habit mathematicians
acquire by osmosis during their formative years. But it can also backed
up by various general considerations the sort of which I alluded to in
the posts I referred you to.

One must be skeptical when the proof that all informal proofs can be made into
formal proofs, is itself just an informal proof.

Herc
From: Aatu Koskensilta on
"|-|ercules" <radgray123(a)yahoo.com> writes:

> Aatu Koskensilta wrote: All mathematical proofs can be formalised,
> after all.

This is hardly something I've claimed to have a proof of. It's just an
observation.

> One must be skeptical when the proof that all informal proofs can be
> made into formal proofs, is itself just an informal proof.

Why?

--
Aatu Koskensilta (aatu.koskensilta(a)uta.fi)

"Wovon man nicht sprechan kann, dar�ber muss man schweigen"
- Ludwig Wittgenstein, Tractatus Logico-Philosophicus
From: LauLuna on
On May 23, 1:22 am, Herc7 <ozd...(a)australia.edu> wrote:

> BONUS POINTS ~ GODEL DISPROOF
>
> Roger Penrose's argument is that a computer can never be as smart as a
> person because you can ask the computer a question, "IS 'THIS CANNOT
> BE PROVEN BY COMPUTER123' TRUE?".  Humans know it is true, but
> COMPUTER123 can never prove it.
>
> But I can equally ask Roger Penrose "IS 'THIS CANNOT BE PROVEN BY
> ROGER PENROSE' TRUE?".  Everyone else can prove it, but Roger Penrose
> can never prove it.

You are overlooking the possibility that 'this cannot be proven by
Roger Penrose' express no proposition, that it be paradoxical just
like the Liar sentence.

Penrose will surely know that if he proves it, then it is not true; so
he must know he cannot prove it; in fact he has proved that the
sentence cannot be proven by Roger Penrose; but if your sentence
expressed a proposition, it would express exactly the same Penrose has
proved, which is impossible.

So here's the difference between a computer and a human: you could
never produce a paradoxical sentence about a computer's ability to
prove something (because it is a well-defined mathematical fact) while
you can produce such a sentence about a human's ability to prove
sentences.

Best.
From: Marshall on
On May 26, 3:25 pm, LauLuna <laureanol...(a)yahoo.es> wrote:
> On May 23, 1:22 am, Herc7 <ozd...(a)australia.edu> wrote:
>
> > BONUS POINTS ~ GODEL DISPROOF
>
> > Roger Penrose's argument is that a computer can never be as smart as a
> > person because you can ask the computer a question, "IS 'THIS CANNOT
> > BE PROVEN BY COMPUTER123' TRUE?".  Humans know it is true, but
> > COMPUTER123 can never prove it.
>
> > But I can equally ask Roger Penrose "IS 'THIS CANNOT BE PROVEN BY
> > ROGER PENROSE' TRUE?".  Everyone else can prove it, but Roger Penrose
> > can never prove it.
>
> You are overlooking the possibility that 'this cannot be proven by
> Roger Penrose' express no proposition, that it be paradoxical just
> like the Liar sentence.
>
> Penrose will surely know that if he proves it, then it is not true; so
> he must know he cannot prove it; in fact he has proved that the
> sentence cannot be proven by Roger Penrose; but if your sentence
> expressed a proposition, it would express exactly the same Penrose has
> proved, which is impossible.

Right.


> So here's the difference between a computer and a human: you could
> never produce a paradoxical sentence about a computer's ability to
> prove something (because it is a well-defined mathematical fact) while
> you can produce such a sentence about a human's ability to prove
> sentences.

Wrong.



Marshall
From: Transfer Principle on
On May 24, 5:39 pm, William Hughes <wpihug...(a)hotmail.com> wrote:
> On May 24, 9:04 pm, Herc7 <ozd...(a)australia.edu> wrote:
> > You are selecting specific diagonals based on the list.
> > The probability of fitting a random diagonal to the list of computable
> > numbers resulting in a different set of numbers is 0.
> There are however an infinite number of counterexamples.

Hmmm. Let's look at Herc/Cooper's post again.

> > The _probability_ of fitting a _random_ diagonal to the list of computable
> > numbers resulting in a different set of numbers is 0.
(emphasis mine)

Probability? Random?

We know that in standard analysis, probability is usually
defined in terms of the Lebesgue measure.

> Interestingly this set is uncountable.

But what's the Lebesgue measure of this set? Is it zero? If
so, then we can vindicate Herc/Cooper's claim after all.

So let us restate the claim.

Question: Let X be the subset of [0,1] such that a real
number x is in X iff no permutation of the set of
computable reals, written in ternary, can produce that
number on the diagonal. What is the Lebesgue measure of X?

Or we may write this even more formally:

Let F : omega^2 -> 3 (the von Neumann ordinal 3) be a
function such that for every function g : omega -> 3, there
exists a unique natural number m such that F(m,n) = g(n)
for all n if and only if g is a computable function. Then
let X be the subset of [0,1] such that for every real
number x, x is in [0,1] iff for every h : omega -> omega
bijective, the sum of F(h(n),n)/3^(n+1) as n ranges 0 to
infinity is not x. What is the Lebesgue measure of X?

William Hughes tells us that X is uncountable, but we are
interested in its measure. There are three cases:

Case 1. X has zero Lebesgue measure.
Case 2. X has positive Lebesgue measure.
Case 3. X is not Lebesgue measurable.

But I doubt that Case 3 applies, for otherwise we would
have produced a nonmeasurable set X without AC -- which
would render ZF+~AC (hence ZF by Cohen) inconsistent.

So either Case 1 or Case 2 applies. If Case 1 holds, then
Herc/Cooper would be right to say that the probability of
choosing a real that can't be on the diagonal of the list
of computable reals is _zero_.

But I'm not sure how to decide this question. Let us
start out by looking at some elements of X.

From the argument involving 1/2 (0.111... in ternary)
above, we know that any real whose ternary expansion
contains only zeros and twos is in X. This is a well
known set, the Cantor set, and it is uncountable yet has
measure zero. For every computable real, the set of all
reals with no digit in common with the given real (and
thus must be in X) is also an uncountable null set (and
the proof of this is similar to that for the Cantor set).

There are only countably many computable reals, and the
union of countably many null sets is still null. Thus,
so far, the reals found to be in X still form a set of
Lebesgue measure zero.

Notice that X contains all computable reals. This is
because for every computable real x, there exists
another computable real y such that x and y have no
digits in common. If x is in [0,1/2], consider y = x+1/2
or x+0.111..., where we add either 1 to each digit of x,
or 2 if there's a carry. If x is in [1/2,1], we can
consider y = x-1/2 = x-0.111... instead.

But for the remaining reals (all of which must be
uncomputable) having at least one digit in common with
every real, there's still no guarantee that we can find
a permutation of the list such that the target real lies
on the diagonal. Suppose there's some real which has
only one digit in common with a computable real -- let's
call the diagonal d, call the computable real x, and say
that the first digit is the common digit. Then x must
appear first on the list. But then we can find another
real with only the first digit in common with d --
namely y, where y = x+1/6 = x+0.0111... (unless this
causes a carry in the first digit, in which case we
consider y = x-1/6 = x-0.0.111... instead). Then y must
also appear first on the list -- but evidently x and y
can't both be first on the list! So every real with has
only one digit in common with some computable real must
be in X as well.

Indeed, I suspect that every real which has only finitely
many digits in common with some computable real must be
in X as well. But by now, there might be so many reals in
X that it is no longer null.