How is that any different than simply saying they are computable to arbitrary accuracy, in the Church-Turing sense.

Brent

On 6/17/2018 3:32 PM, Lawrence Crowell wrote:
The Schrödinger equation is integrable for completely unitary systems. This hold for Hamiltonians that are complex or nonlinear, where perturbation methods are often used. My thought is that all possible quantum eigenvalues are computable with Diophantine equations, where some Gödel numbering scheme from the solutions to the actual numbers can exist.

LC

On Sunday, June 17, 2018 at 3:42:56 PM UTC-5, Jason wrote:

    Hi Lawrence,

    Is the evolution of states of the wave function computable? If so
    then the result of MRDP implies it is Diophantine.

    Jason

    On Sunday, June 17, 2018, Lawrence Crowell
    <[email protected] <javascript:>> wrote:

        I have Matiyasevich's paper on the MRDP theorem. I have not as
        yet read it. I have had this idea that a general scheme for
        quantum eigenvalues could by Diophantine. This would then be a
        sort of universal dovetailer of all possible physical states.
        Unfortunately this is an area I have thought about some, but
        as yet have never endeavored to pursue.

        LC

        On Saturday, June 16, 2018 at 7:18:41 PM UTC-5, Jason wrote:

            In solving Hilbert's 10th problem
            <https://en.wikipedia.org/wiki/Hilbert%27s_tenth_problem> in
            the negative, the work of Martin Davis, Yuri Matiyasevich,
            Hilary Putnam and Julia Robinson culminated in 1970 with
            the MRDP theorem
            
<https://en.wikipedia.org/wiki/Diophantine_set#Matiyasevich%27s_theorem>
            which concludes:

            *Every computably enumerable set has a representation as a
            Diophantine equation
            <https://en.wikipedia.org/wiki/Diophantine_equation> (an
            equation involving only integer coefficients and variables).*

            This shocked number theorists, because it meant simple
            equations involving nothing more than a few integer
            variables have the full power of Turing machines. In fact,
            it was shown by Yuri Matiyasevich that a universal
            Diophantine equation can be made with as few as 9 unknowns.

            Some examples:

              * k is even if there exists a solution to: k - 2x = 0
              * k is a perfect square if there exists a solution to: k
                - x^2 = 0
              * k is a Fibonacci number if there exists a solution to:
                k^4 - k^2*x^2 - x^4 - 1 = 0
              * (k+2) is a prime number if there exists a solution to
                the sum of: (these 14 equations
                <http://mathworld.wolfram.com/PrimeDiophantineEquations.html>)
              * k is a LISP program having output n, if the equation
                having variables: k, n, x1, x2, x3 ... x20000 (a
                polynomial having ~20,000 variables
                <https://arxiv.org/pdf/math/0404335.pdf>) has a solution.

            The universality of Diophantine equations means there are
            polynomial equations that compute things quite surprising,
            such as polynomials that have solutions of 0, IFF:

              * One of the variables "k" is a valid MP3 file.
              * One of the variables "k" is a JPEG image containing
                the image of a cat (where the equation implements the
                same computation as a neural network trained to
                recognize images of cats)
              * For two of the variables "y" and "x", "y" equals a
                state of a chess board after deep blue makes a move
                given a chess board with a state of "x".
              * For two of the variables "y" and "x", "y" equals the
                state of the Universal Dovetailer after performing "n"
                steps of execution.


            The last example seems to suggest to me, that pure
            arithmetical truth, concerning the solutions to equations,
            is identical to computation.  That is to say, certain
            mathematical statements carry with them (effectively)
            Turing machines, and their executions.

            Just as all solutions to the deep-blue implementing
            equation is equivalent to the computations that Deep blue
            makes when evaluating the board, and all solutions to the
            cat recognizing equation are equivalent to the processing
            done by the trained neural network, all solutions to the
            LISP equation are equivalent to the execution of every
            possible LISP program (including the UD).

            Does this our conscious experience might be a direct
            consequence of Diophantine equations?

            Can Diophantine equations for a single set of parameters
            model non-halting programs like the UD, or one must
            consider the set of of all possible parameters?

            Jason

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