On Fri, Jan 24, 2020 at 5:50 PM 'Brent Meeker'  Everything List <
[email protected]> wrote:

>> I would say a infinite amount of information would be needed to
>> adequately
>
>
> > *Nobody asked about the amount of information. *
>

Well you certainly didn't ask about it, you ignored information entirely
and I would say that was the fundamental reason your analysis failed.


> * > That's a red herring that LC threw in. *
>

A red herring?! Lawrence is wise enough to know that if you're developing a
cosmological model while pretending information does not exist then you're
heading for trouble.

*> The question was about the expansion and size of the universe.*
>

No, the question was if the universe was infinite or finite. Yes if the
position space (aka plain ordinary space) is infinite then it would be safe
to say the universe is infinite, but that's just one attribute the universe
can have, there is also momentum space and informational content; if either
of those was infinite I would say that regardless of whether position space
was infinite or not it would be misleading at best and dead wrong at worse
to say the universe was finite.


> * > As in my analogy, in a finite universe there are a finite number of
> intervals of finite distance that can link any two points in the universe.
> Of course this refers to it being finite at a given time, and you raised
> the problem of defining what counts as "at the same time".  The answer is
> that it is at the same time if it is at the same degree of
> expansion...operationally it means that two distant events are "at the same
> time" if the isotropic temperature of the CMB looks the same to them.*
>

Even if we ignore Quantum Mechanics any finite level of precision used to
measure the current position and momentum of those two particles or of the
temperature of the CMB will soon (very soon because the universe is
accelerating) prove to be insufficiently precise to predict their future
position and momentum because phase space keeps getting larger at an
accelerating rate. The fundamental reason you can't make a good prediction
is you don't have enough information, an infinite amount is required and
you don't have that.

John K Clark

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