Since you brought it up, let me comment on the scientific method and how it relates to what I am doing. By the numbers:
1. Observation and description of a phenomenon or group of phenomena.
Find out all you can about C![/color]
2. Formulation of an hypothesis to explain the phenomena. In physics, the hypothesis often takes the form of a causal mechanism or a mathematical relation.
Conjure up a possible rule! – (Also, open your mind to the possibility of the existence of unseen things that might make that rule useful: i.e., electrons, gods, phlogiston or maybe even "strings".) [/color]
3. Use of the hypothesis to predict the existence of other phenomena, or to predict quantitatively the results of new observations.
Deduce your expectations on the assumption the rule is correct and that those unseen things
do really exist![/color]
4. Performance of experimental tests of the predictions by several independent experimenters and properly performed experiments.
Check your expectations against C![/color]
Note here that my index on B, mapped into that real axis t, does indeed correspond to time: i.e., C may be divided by t into two sets. We can define B
j to be a member of one of the two sets by the following rule: if B
j is known we put it in the first set, if it is not known we put it in the second set. We then just attach the tag
"the past" to the first set and the tag
"the future" to the second set. Now we can talk about "predictions": i.e., B in the future! Certainly if our "expectations" are not consistent with "B in the past" the hypothesis is obviously ridiculous (that is why they don't even mention that particular case in the "official scientific method").
Perhaps they should mention it as, from reading this forum, it appears to be the major omission in crackpot theorizing.
Russell E. Rierson said:
If the experiments do not bear out the hypothesis, it must be rejected or modified.
Yes; perhaps we could come up with a new particle to save conservation of energy! If the trick works, does that prove neutrinos exist? I am not complaining about neutrinos, I am merely trying to get you to think about proof of existence itself. In particular, the existence of unseen things and all the vague ambiguous concepts therein!
Russell E. Rierson said:
So your approach has more freedom from constraint[even more than the scientific method] and is highly abstract. It appears that by adding more degrees of freedom with the "tau" dimension, the problem is solved... if my interpretation is correct.
I would disagree with that statement. My approach has nothing in it which is not done by the standard scientific method. The only real difference is that my description of the procedure is not vague and ambiguous! I have made a serious effort to be exact.
Scientists quite often introduce new "unseen" things that they feel makes what they see make more sense. They then convince themselves that they can see these things by interpreting their apparently valid expectations as evidence that their creations exist! A rational person should keep in mind the fact that future knowledge might destroy those self same creations. Think of phlogiston!
I don't think you understood why tau was introduced. My problem was that I wanted to record references to elements of B as points on the real x axis. Think of the problem of inventing a language; one needs symbols for the things to be expressed in that language. I have simply chosen my symbol to be a point on the x axis; the positional value of x becomes the symbol for the specific element of B. If you define exactly what the symbol (or a collection of symbols) stands for, this is as good as any other language. However, when I try to do that, I found a difficulty cropped up. If a particular element showed up twice or more in a given B
j it would only appear once in my proposed symbol system and the mapping system would fail.
I solved that problem through the addition of a second orthogonal axis and attaching a "manufactured" tag to the problem element. In essence, this is no different than conjuring up neutrinos. However, we need to think about a problem this solution creates. We have created an aspect of B which is totally in our mind. We have already defined C to be what we have to work with and thus we are not "guessing" about what might actually exist; we know this coordinate does not exist. It is a pure figment of our imagination.
Now, I will comment here that the scientist doesn't "know" that neutrino exists either but I want to be more exact than he is; I want to maintain awareness that this is an aspect of a mental model of A and not at all a part of A. Consider the impact this fact has on that algorithm we are looking for which is supposed to yield our expectations. There exists no way that the value to be used for tau can ever be obtained from any specific B. If that is true just how are we to evaluated the mathematical algorithm which is to yield our expectations.
Ok, I have a solution to that problem. Let us say that I am able to find a solution to the original problem which yields the correct expectation for B given any arbitrary value for each and every tau
i which could possibly be attached to x
i in that B. Now clearly that is a much more difficult problem than the one we started with; but, if I can find the solution to that problem, the solution to the original problem is obtained by integrating that found solution over all tau
i.
I will presume you understand the existence of sub problem #2 and also understand my resolution of that problem. If you can think of any reasons why my solution to these problems will not work, let me know.
I need to make one more comment on the addition of that tau axis. I will continue to add "manufactured" data to my model. Doing so is completely analogous to the procedure of inventing entities used in every scientific field known to man. The only difference between my procedure and theirs is that, in the interest of being exact, I must always maintain the conceptual difference between C and the added "manufactured" data. The issue is that the logical rules which must be applied to the two different categories are significantly different.
In order to have a simple way to refer to that conceptual difference, I would like to define two terms: "knowable" and "unknowable". When I refer to something as knowable, I will mean that it is information contained in C and is outside my control. When I refer to something as unknowable, I will mean manufactured information created to make my explanation work. Please do not confuse my use with the common usage. I hope I have made it clear that I am working in the abstract and nothing I say is based on anything known about C as I am not allowing myself the freedom to make any assumptions whatsoever about what can be known about C.
The fundamental difference between knowable data and unknowable data is the fact that knowable data is absolute and unchangeable as it must be explained in any and all future theories; whereas unknowable data is fundamentally part of the explanation, and not really part of the phenomena being explained. The most important aspect of unknowable data is that it must obey exactly the same rules as the knowable data. If it does not, then the proposed explanation will fail the fourth step of the scientific method.
It should be clear to you that \vec{\Psi} (\vec{x},t) is an absolutely general representation of any possible algorithm for transforming one set of numbers into a second. This means that the representation has placed no constraint whatsoever on the possible solutions. And, in message #25, I have already showed everyone how to deduce the first three constraints on \vec{\Psi}.
This brings me to that "corresponding set D" mentioned on message #4. If you feel everything I have said makes decent sense, I will get into some important aspects of that set D which is in fact more "manufactured" information.
Have fun – Dick
PS Please note that we now have eight defined terms: mathematics, A, B, C, past, future, knowable and unknowable. We will define time to be the point on the t axis which separates past from future (remember, t was an arbitrary label assigned to B
j so using it to provide this separation requires no assumptions).