Bipolar Demon said:
Proposition: undefined, intuitively can be said to be a statement that can be verified to be either true or false.
Axiom: An initial proposition assumed to be true.
Yes, I would describe a proposition that way. However in the case of axiom, I should say that you don't need the words 'assumed to be true', as I will explain. It is better to define an axiomatic system as a finite collection (whatever finite collection means) of propositions. Then we say a proposition that belongs to that collection is called an axiom.
Bipolar Demon said:
How can we define what a proof means? i thought all proofs must be derived through logic and mathematical induction..? or am i confused again :) I don't think I understood that sentence. I know a little bit of logic so you may be able to use a very simple example if you like.
Now the reason why we use the wording 'assumed to be true' when referring to axioms is because that is what we do when we prove theorems. If statement ##S## is a theorem in an axiomatic system ##\Sigma##, this means that ##\Sigma\implies S##. From the way implication works, to prove a theorem it is clear that you must start by assuming ##\Sigma## is true and showing that the truth of ##S## follows from such assumption. ##S## can actually be false if you choose a different axiomatic system. ##S## can also be independent of ##\Sigma##. An example is the continuum hypothesis (CH), which is independent of the ZFC axioms.
More technically a proof is a sequence of statements, in which the final statement should be what you are trying to prove. Look up formal proof
https://en.wikipedia.org/wiki/Formal_proof. Also so far from what I red in the book, chapter 1, section 4 is the first instance where the author talks about axiomatic systems (He calls them axiom systems).
Bipolar Demon said:
We shall call the problems of the universe which mathematics seek to model and solve as nature. The basic process for trying to develop a mathematical model of nature is this:
1. The mathematician observes some particular property of nature that is of interest.
2. He then develops a set of axioms.
3. He then uses the methods of logical deduction and proof to derive a theorem.
4. He tests this theorem to see if it is an adequate representation of the phenomena in nature (does it model it accurately enough? Does it model outcomes to a satisfactory extent?)
5. If not, he goes back to steps 1 and 2.
I would add, that before he starts proving theorems, he needs to know what the theorems (or conjectures) are. The idea is that usually a lot is already known about the theory, before it has been axiomatized. Take calculus for example. Computations in calculus could be made and the subject had already a good amount of content, before ##\epsilon,\delta## definitions were created. Mathematics will also test 'theorems', the ones which have not been rigorously proven. But that happens in many cases, before axiomatization.
1. Choose the mathematical field (which is already well established, but its logical foundations are insecure)
2. Choose the set of axioms that best describes the objects studied in the field.
3. Take the basic facts that have been taken for granted in the field, and derive them as theorems from the axioms by using proofs. Do the same for other important propositions in the field.
4. Ask what is the power of the (mathematical, not scientific) theory you have created. How many examples in the field does it encompass. How useful is the theorems you have proven.
5. If your theory does not encompass sufficiently many examples which appear in the field, repeat 2, 3, and so on. If your theory describes the field correctly but is not very useful, repeat 3, 4 and so on.