twofish-quant said:
No we don't know this. We do know that the
Rules of Quantum Mechanics follow a different set of logical rules than classical aristolean logic, and there are perfectly good logical systems that allow for inconsistent statements.
Well in order for something to be 'measureable' it has to be finite and thus not diverge. Physics is based on the principle that things be measureable.
It doesn't have to follow classical logics in any way: it just has to be measurable.
As far as divergence, blow-up, and instability, there's no reason to automatically assume that the laws of physics at extremely high energy are stable and non-divergent.
True, but we have a lot of evidence for it both theoretically and experimentally, although I agree with you that we haven't had particle accelerators for that long (but we can look at the external universe and supernovae, and cosmic rays).
The theoretical evidence can be found in theorems to do with black holes (and yes I realize it's speculative) in the form of evaporating black-holes, and results about how black-holes may grow (again speculative).
In the low-energy situations, we have a lot of data to deal with.
We also have thermodynamics which deals with entropy, and shows us how hard it is to generate situations where we get lots of energy.
These indicators give at least an initial premise behind this idea.
If the theory is wrong, then like every other theory it needs to be changed. But given theoretical speculation and experimental results (especially with thermodynamics), it does have a little support at least.
On the other hand, we have been able to get places with theories that are mathematically bad. Quantum field theory is mathematically inconsistent, but it's inconsistent in ways that we can "work around" at energies we are interested in.
You can have theories about physics that are non-deterministic and even non-continuous where the above constraints are still respected.
These constraints do not require determinism, nor do they require some kind of continuous aspect. You can represent systems primarily using number theory to model the kind of discrete behaviour where things jump or can't be modeled by continuous representations and analyzed effectively through continuous analysis (i.e. the integral and differential calculus), and you can use statistics to model things that are not in the context of a deterministic fashion.
You can also incorporate non-locality if you want to as well.
Which is precisely why I think they are suspect.
Essentially what happens is that people go out and see their own little tiny bit of the universe and then assume that everything has to be a certain way. I've seen really weird stuff, so when someone starts putting constraints because the universe has to act in a certain way, I'm suspicious of that.
One reason that I think physics is "hard" is not so much that the things that we are studying are difficult to understand, but it's because our senses are limited. Here is an example. Take a cup of tea, and try to explain what it looks like to someone that has been blind since birth. Try to explain "red" and "yellow" and describe the color of the liquid. It's hard. It's going to take some effort to "see red" and if someone who is blind just uses the concepts that they are familiar with, they are going see something, but they are also going to be missing other things.
Well this is what mathematics has primarily become: it has become a way for us blind people to see in a way that we never can with our five senses.
Mathematics has done this with every subfield including logic, algebra, probability, calculus, and so on. Probability is the most striking area because time and time again, the math makes it intuitive, but the senses always mislead us even for the most gifted mathematicians you try and use it like D'Alembert.
Mathematics also gives us a gateway to the uncountable. Through mathematics we can understand when an infinite series even converges, how to make sense of an infinite-vector space and a basis for that space.
No amount of sensory can give us this insight, and by ignoring this approach, we are always going to rely on the intuition afforded to us by our five senses, or a product thereof.
Physics is about things that can be measured: if it's not by our tongues, ears, eyes, skin, or nose, it's be the lab equipment that we design to measure things that we can't do by ourselves.
But this sense is in no way a contender with mathematics, because of a couple of reasons.
The first reason is that it is a language that everyone can agree on. This is one of the most important aspects of it because this one fact makes it possible for more than one person to study the same thing and agree on what a particular construction says and how to interpret it.
The second thing is that explores things that may potentially exist even though we may never measure them.
The reason this is important is because if we only consider the very narrow thing that we are measuring, in relative isolation with all the other stuff that is going on, then it means that again we have to extrapolate from that one point the rest of it all even when the stuff we are extrapolating from may not have actually been realized itself.
This is the thing: you are saying that we should not use procedures that are too wild like the ones proposed, but yet physics and physicists try to build models to predict what has not been already made realizable. We don't try and predict stuff that has been already realized, we try and predict stuff that has not.
Mathematics in a sense has a platonic aspect where it doesn't necessarily correspond to reality, but then again the stuff that we predict doesn't either until it becomes reality.
We can't really make sense of infinity, but what we do is we use math as well as things like art and other mediums to get one particular very narrow context of it.
You can't tell a blind man what red and yellow is and I agree with you. But what you can do is find a way to utilize what they can sense to try and build the best bridge possible to reach the best description possible, even though they can not see it.
For example, I can get a blind person and I can construct geometric figures that have solid edges. This can be used to build the idea of spatiality and geometry. From this I can go further and introduce these kinds of examples to build a language.
I won't probably be able to ever get to the clarity of yellow or red, but it doesn't mean I can't use what I have to make an inwards progression to describing it by building the best bridge to utilize the sensory capacity that already exists.
And this is precisely what we are doing with mathematics every single day, with countless numbers of mathematicians, and contributing scientists and engineers, who are creating a bridge to this higher sensory capacity.