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|    sci.physics.research    |    Current physics research. (Moderated)    |    17,516 messages    |
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|    Message 16,284 of 17,516    |
|    fnmfnm2@gmail.com to Jay R. Yablon    |
|    Re: Metric tensor transformed into momen    |
|    15 Jul 18 22:35:55    |
   
   [[Mod. note -- This article arrived at the moderation system with   
   very long lines. I have manually rewrapped these... alas resulting   
   in some oddities of spacing and indentation. -- jt]]   
      
   On Thursday, October 5, 2006 at 4:48:39 PM UTC-5, Jay R. Yablon wrote:   
   > The metric tensor g_uv is typically understood to be a function of   
   > spacetime coordinates, that is, g_uv(x^u).   
   >   
   > Has anyone ever considered a metric tensor Fourier transformed into   
   > momentum space,   
   >   
   > g_uv(p^u) = int {d^4x exp (-2 pi i p x) g_uv(x^u)}?   
   >   
   > And, is there any reason why it might not make sense to consider this?   
   > Above, int is an integral sign and exp is exponentiation.   
   >   
   > Note that the inverse transformation, of course, is:   
   >   
   > g_uv(x^u) = int {d^4p exp (+2 pi i p x) g_uv(p^u)}   
   >   
   > which includes the factor int d^4p which after reduction becomes int   
   > (dp^2/p^2) = ln p^2 which, evaluated between a mass m and infinity oo,   
   > becomes the logarithmically-divergent term ln (oo/m^2) to which a cutoff   
   > oo-->M^2 is assigned, such that ln (oo/m^2) --> ln (M^2/m^2), which is   
   > then "swept under the rug" into the definition of the running charge   
   > during renormalization.   
   >   
   > Thanks,   
   >   
   > Jay.   
   > _____________________________   
   > Jay R. Yablon   
   > Email: jyablon@nycap.rr.com   
      
      
      
   Back in grad school, played with the idea.   
    Consider the metric dS^2=dx^2+dy^2+dz^2-dt^2 (c=1)   
    dS^2= n_ij dx^i dx^j (n_ij=1 Minkowski metric), (i,j=1,2,3,4)   
    PDE for this metric is the steady state of   
    the 2nd order diffusion PDE d_i[d_i f(x_i,T)=d_T f(x_i,T) ('4D+1T')   
    d_i partial derivative w.r.t. the variables   
    here T some convenient parameter (along mass, thermodynamic   
    temperature etc.)   
    the steady state is the wave equation   
    d_i[d_i f(x_i,T)=0 ('4D+0')   
    (here cords are orthogonal Cartesian + time).   
    The diffusion PDE can be derived from information theory or   
    maximum entropy methods as D[]+D[b<(x_i)^2>]==0 with    
    the Shannon measure or the entropy measure (negentropy)   
    =Integral{ P(x_i,T)lnP(x_i,T) dV} , the maximization of entropy   
    obtains the Gaussian (for flat spacetime metrics) f= P(x_i,T)=   
    e^(-x_i ^2)/2DT /Sqrt[4PiDT]^4   
    and wave forms (sine cosine etc.) for the steady state.   
    Fourier transform of the Gaussian obtains momenta (energy-momenta) as   
    P(k_i,T) => Integral{ e^I(x_i.k_i) e^-(x_i ^2)/2DT V_dx_i }   
    complete the square,   
    => Integral{ e^-(x_i - I.n.k_i/2)^2 e^-(k_i ^2 n./4) dVol}   
    P(k_i,T)=e^-(bb (k_i ^2)) /Z(bb(T))   
    which solves the diffusion PDE   
    d_(k_i)[d_(k_i) P(k_i,bb)]= d_bb P(k_i,bb)   
    which in steady state is d_(k_i)[d_(k_i) P(k_i,bb)]=0   
      
    Now from tensor analysis the diffusion tensor (here flat,   
    Minkowski like) is the inverse of the fundamental metric tensor   
    (D is now diffusion tensor not the variational symbol used   
    above) (D_ij)^-1=g_ij ( of the k_i.., where above it would   
    have been of the x_i)   
      
    dK^2= g_ij dk^i dk^j   
    = dk_x ^2 + dk_y ^2 +..-dk_t ^2 .   
      
      
      
    and we note that the 'dispersion relation' of the momentum-diffusion   
    PDE obtained by Fourier transforms Integral{ e^-I(k_i.(x_i-x_i')   
    e^I.(W_T.bb) ( d_(k_i)[d_(k_i) P(k_i,bb)]= d_bb P(k_i,bb)) dVol_k_i   
    }   
    => let x_i-x_i'=Dx_i   
    W_T= s.Dx_i^2   
    while the dispersion relation of the coordinate based diffusion   
    PDE by the inverse Fourier transforms was   
    E_T= s' k_i ^2 (thermodynamic energy = kinetic momentum energy(3D) +   
   temporal energy (1t)) .   
      
    constants hbar c D n etc. aside (set to 1 say,) 2-point PDEs   
    (forward and backwards Fokker-Planck of which the diffusion eqns   
    are a special case of) solved by   
   P(x_i,T|x_i',T'), for which diffusion tensors are by tensor analysis   
   (try change of variables on the backwards F-P for non flat diffusion   
   tensors for general relativistic case and derived metrics) are   
   inverse metric tensors (see Risken, haken, Gardiner books or   
   literature), make a straightforward case for propagation (statistical   
   mechanics and thermodynamics), and geometry/topology.   
    And as at least for flat metrics, where propagation is (flat)   
    constant diffusion tensor valued, x->k Fourier transforms or at   
    the max entropy state function level (equiv. negentropy=information   
    theoretic) direct derivation of least biased PDFs that are the   
    solutions of said Fokker-Planck PDEs, allow Gaussian x to Gaussian   
    k PDE(x) to PDE(k) transformations, and then also diffusion   
    tensors for k that obtain k-metric tensors. Thus far shown   
    Minkowski...for Reimannian tensors of general relativity the   
    diffusion tensors are nonlinear, and easiest way to rederive and   
    generalize the above is to work with the backwards F-P PDEs,   
    change-of-variables (diagonal tensor to unit diagonal tensor)   
    from x->X (as in P(x)dx=P(X)dX) or from nonlinear diffusion   
    coefficients to unit or constant diffusion coefficients, and the   
    perform the tensor analysis that obtains (D_ij)^-1 =g_ij...this   
    is at least one way to then obtain 'curved momentum' metric   
    tensors and invariant 'lengths->momenta' metrics as   
    dK^2= a_1(k_i,T,..)(dk_1)^2 +.....-a_4(k_i,T)(dk_4)^2   
   corresponding to dS^2=A_1(x_i,T,..)(dx_1)^2+...-a4(x_i,T,..)(dt^2)   
    these metrics' lengths of general relativity.   
      
    However the same issues exist for momentum-energy-topology...the   
    Einstein equation can be obtained for a g_ij(k_i..) such that   
    R_ij-(1/2)Rg_ij=E_ij (E_ij=T_ij the stress-energy tensor, but   
    to not overuse T)...but for momenta the stress energy tensor now   
    has shear and hydrodynamic stress rescaled such that it is   
    momentum like and not space-like. And as the point is to describe   
    curvature and deformation of spacetime, it remains to be seen   
    if any new simplification and new insights can be obtained from   
    such descriptions. However (again,) the challenges are a) time   
    on the same footing as space, so decoupling time from space or   
    reducing its order to 1st order as opposed to 2nd order b)   
    recasting curvature metric coefficients or inversely diffusion   
    coefficients to constants (i.e. curved->to->'flat' solvable,   
    easily quantizable) seem to be what is needed for 'quantum   
    gravity' (at least canonical quantum gravity). While tackling   
    the spacetime x_i version of a-b , it is not clear that k_i   
    metrics and k_i PDEs will make for an easier a-b.   
    Mentioned 'quantization', by that is meant the Matsubara-Schroedinger   
    diffusion-to-quantum-propagators method...i.e. a diffusion   
    Fokker-Planck PDE can be analytically continued to the complex   
    plane and retarded/advanced Green's functions quantum thermal   
    propagators derived:   
    [d_(x_i)[d_(x_i)-d_T]P(x_i,T|x_i',T')]=delta{x_i-x_i'}delta{T-T'}   
    Fourier transform P->G:   
    G(k_i,I.W_T)=1/[I.W_T-(s.k_i)^2]   
    analytically continue, or 'wick rotate W_T'   
    G^(r/a) (k_i,I.W_T)=-I f(w)/[w_T-(s.k_i)^2 +/- I.q]   
      
   [continued in next message]   
      
   --- SoupGate-Win32 v1.05   
    * Origin: you cannot sedate... all the things you hate (1:229/2)   
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