Computational implementation of integral equations: Difference between revisions
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Picard iteration generates a solution of an initial value problem for an ordinary differential equation (ODE) using fixed-point iteration. | Picard iteration generates a solution of an initial value problem for an ordinary differential equation (ODE) using fixed-point iteration. | ||
Here are the four steps used to solve integral equations: | Here are the four steps used to solve integral equations: | ||
=== | ===Closure relation <math>\gamma_{mns}^{\mu \nu} (r) \rightarrow c_{mns}^{\mu \nu} (r)</math>=== | ||
(Note: for linear fluids <math>\mu = \nu =0</math>) | (Note: for linear fluids <math>\mu = \nu =0</math>) | ||
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:<math>w=\frac{1}{NG}</math> | :<math>w=\frac{1}{NG}</math> | ||
===Perform FFT from Real to Fourier space <math>c_{mns}^{\mu \nu} (r) \rightarrow \tilde{c}_{mns}^{\mu \nu} (k)</math>=== | |||
This is non-trivial and is undertaken in three steps: | This is non-trivial and is undertaken in three steps: | ||
====Conversion from axial reference frame to spatial reference frame==== | |||
:<math>c_{mns}^{\mu \nu} (r) \rightarrow c_{\mu \nu}^{mnl} (r)</math> | :<math>c_{mns}^{\mu \nu} (r) \rightarrow c_{\mu \nu}^{mnl} (r)</math> | ||
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\right)g_{mns}^{\mu \nu} (r)</math> | \right)g_{mns}^{\mu \nu} (r)</math> | ||
====Fourier-Bessel Transforms==== | |||
:<math>c_{\mu \nu}^{mnl} (r) \rightarrow \tilde{c}_{\mu \nu}^{mnl} (k)</math> | |||
:<math>\tilde{c}_{\mu \nu}^{mnl} (k; l_1 l_2 l n_1 n_2) = 4\pi i^l \int_0^{\infty} c_{\mu \nu}^{mnl} (r; l_1 l_2 l n_1 n_2) J_l (kr) ~r^2 {\rm d}r</math> | :<math>\tilde{c}_{\mu \nu}^{mnl} (k; l_1 l_2 l n_1 n_2) = 4\pi i^l \int_0^{\infty} c_{\mu \nu}^{mnl} (r; l_1 l_2 l n_1 n_2) J_l (kr) ~r^2 {\rm d}r</math> | ||
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====Conversion from the spatial reference frame back to the axial reference frame==== | |||
:<math>\tilde{c}_{\mu \nu}^{mnl} (k) \rightarrow \tilde{c}_{mns}^{\mu \nu} (k) </math> | :<math>\tilde{c}_{\mu \nu}^{mnl} (k) \rightarrow \tilde{c}_{mns}^{\mu \nu} (k) </math> | ||
this is done using the Blum transformation | this is done using the Blum transformation | ||
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g_{\mu \nu}^{mnl}(r)</math> | g_{\mu \nu}^{mnl}(r)</math> | ||
=== | ===Ornstein-Zernike relation <math>\tilde{c}_{mns}^{\mu \nu} (k) \rightarrow \tilde{\gamma}_{mns}^{\mu \nu} (k)</math>=== | ||
For simple fluids: | For simple fluids: | ||
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===Conversion back from Fourier space to Real space=== | |||
<math>\tilde{\gamma}_{mns}^{\mu \nu} (k) \rightarrow \gamma_{mns}^{\mu \nu} (r)</math> | <math>\tilde{\gamma}_{mns}^{\mu \nu} (k) \rightarrow \gamma_{mns}^{\mu \nu} (r)</math> | ||
(basically the inverse of step 2). | (basically the inverse of step 2). | ||
====Axial reference frame to spatial reference frame==== | |||
:<math>\tilde{\gamma}_{mns}^{\mu \nu} (k) \rightarrow \tilde{\gamma}^{mnl}_{\mu \nu} (k)</math> | |||
====Inverse Fourier-Bessel transform==== | |||
:<math>\tilde{\gamma}^{mnl}_{\mu \nu} (k) \rightarrow \gamma^{mnl}_{\mu \nu} (r)</math> `Step-up' operations are given by Eq. 53 of \cite{MP_1982_47_0283}. The inverse Hankel transform is | |||
:<math>\gamma(r;l_1 l_2 l n_1 n_2)= \frac{1}{2 \pi^2 i^l} \int_0^\infty \tilde{\gamma}(k;l_1 l_2 l n_1 n_2) J_l (kr) ~k^2 {\rm d}k</math> | :<math>\gamma(r;l_1 l_2 l n_1 n_2)= \frac{1}{2 \pi^2 i^l} \int_0^\infty \tilde{\gamma}(k;l_1 l_2 l n_1 n_2) J_l (kr) ~k^2 {\rm d}k</math> | ||
====Change from spatial reference frame back to axial reference frame==== | |||
:<math>\gamma^{mnl}_{\mu \nu} (r) \rightarrow \gamma_{mns}^{\mu \nu} (r)</math>. | |||
==Ng acceleration== | ==Ng acceleration== | ||
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#[http://dx.doi.org/10.1080/00268978200100222 F. Lado "Integral equations for fluids of linear molecules III. Orientational ordering", Molecular Physics '''47''' pp. 313-317 (1982)] | #[http://dx.doi.org/10.1080/00268978200100222 F. Lado "Integral equations for fluids of linear molecules III. Orientational ordering", Molecular Physics '''47''' pp. 313-317 (1982)] | ||
#[http://dx.doi.org/10.1080/00268978900101981 Enrique Lomba "An efficient procedure for solving the reference hypernetted chain equation (RHNC) for simple fluids" Molecular Physics '''68''' pp. 87-95 (1989)] | #[http://dx.doi.org/10.1080/00268978900101981 Enrique Lomba "An efficient procedure for solving the reference hypernetted chain equation (RHNC) for simple fluids" Molecular Physics '''68''' pp. 87-95 (1989)] | ||
[[category: integral equations]] | |||
Revision as of 15:31, 30 May 2007
Integral equations are solved numerically. One has the Ornstein-Zernike relation, and a closure relation, (which incorporates the bridge function ). The numerical solution is iterative;
- trial solution for
- calculate
- use the Ornstein-Zernike relation to generate a new etc.
Note that the value of is local, i.e. the value of at a given point is given by the value of at this point. However, the Ornstein-Zernike relation is non-local. The way to convert the Ornstein-Zernike relation into a local equation is to perform a (fast) Fourier transform (FFT). Note: convergence is poor for liquid densities. (See Ref.s 1 to 6).
Picard iteration
Picard iteration generates a solution of an initial value problem for an ordinary differential equation (ODE) using fixed-point iteration. Here are the four steps used to solve integral equations:
Closure relation
(Note: for linear fluids )
Perform the summation
where is the separation between molecular centers and the sets of Euler angles needed to specify the orientations of the two molecules, with
with .
Define the variables
Thus
- .
Evaluate
Evaluations of are performed at the discrete points where the are the roots of the Legendre polynomial where are the roots of the Chebyshev polynomial and where are the roots of the Chebyshev polynomial thus
where
where is the angular, , part of the
rotation matrix ,
and
For the limits in the summations
The above equation constitutes a separable five-dimensional transform. To rapidly evaluate this expression it is broken down into five one-dimensional transforms:
Operations involving the and basis functions are performed in complex arithmetic. The sum of these operations is asymptotically smaller than the previous expression and thus constitutes a ``fast separable transform". and are parameters; is the number of nodes in the Gauss integration, and the the max index in the truncated rotational invariants expansion.
Integrate over angles
Use Gauss-Legendre quadrature for and Use Gauss-Chebyshev quadrature for , and . Thus
where the Gauss-Legendre quadrature weights are given by
while the Gauss-Chebyshev quadrature has the constant weight
Perform FFT from Real to Fourier space
This is non-trivial and is undertaken in three steps:
Conversion from axial reference frame to spatial reference frame
this is done using the Blum transformation \cite{JCP_1972_56_00303,JCP_1972_57_01862,JCP_1973_58_03295}:
Fourier-Bessel Transforms
(see Blum and Torruella Eq. 5.6 \cite{JCP_1972_56_00303} or Lado Eq. 39 \cite{MP_1982_47_0283}), where is a Bessel function of order . `step-down' operations can be performed by way of sin and cos operations of Fourier transforms, see Eqs. 49a, 49b, 50 of Lado \cite{MP_1982_47_0283}. The Fourier-Bessel transform is also known as a Hankel transform. It is equivalent to a two-dimensional Fourier transform with a radially symmetric integral kernel.
Conversion from the spatial reference frame back to the axial reference frame
this is done using the Blum transformation
Ornstein-Zernike relation
For simple fluids:
For molecular fluids (see Eq. 19 of Lado \cite{MP_1982_47_0283})
where and are matrices with elements . For mixtures of simple fluids (see \cite{JCP_1988_88_07715} and the thesis of Juan Antonio Anta pp. 107--109):
Conversion back from Fourier space to Real space
(basically the inverse of step 2).
Axial reference frame to spatial reference frame
Inverse Fourier-Bessel transform
- `Step-up' operations are given by Eq. 53 of \cite{MP_1982_47_0283}. The inverse Hankel transform is
Change from spatial reference frame back to axial reference frame
- .
Ng acceleration
Angular momentum coupling coefficients
- CPC_1970_1_0337,CPC_1971_2_0381}
Clebsch-Gordon coefficients and Racah's formula
The Clebsch-Gordon coefficients are defined by
where and satisfies for . They are used to integrate products of three spherical harmonics (for example the addition of angular momenta). The Clebsch-Gordan coefficients are sometimes expressed using the related Racah V-coefficients (Giulio Racah (1909 - 1965)),
(See also the Racah W-coefficients, sometimes simply called the Racah coefficients). \cite{CPC_1974_8_0095}
References
- M. J. Gillan "A new method of solving the liquid structure integral equations" Molecular Physics 38 pp. 1781-1794 (1979)
- Stanislav Labík, Anatol Malijevský and Petr Voncaronka "A rapidly convergent method of solving the OZ equation", Molecular Physics 56 pp. 709-715 (1985)
- F. Lado "Integral equations for fluids of linear molecules I. General formulation", Molecular Physics 47 pp. 283-298 (1982)
- F. Lado "Integral equations for fluids of linear molecules II. Hard dumbell solutions", Molecular Physics 47 pp. 299-311 (1982)
- F. Lado "Integral equations for fluids of linear molecules III. Orientational ordering", Molecular Physics 47 pp. 313-317 (1982)
- Enrique Lomba "An efficient procedure for solving the reference hypernetted chain equation (RHNC) for simple fluids" Molecular Physics 68 pp. 87-95 (1989)