tensor.C

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/*---------------------------------------------------------------------------*\
  =========                 |
  \\      /  F ield         | OpenFOAM: The Open Source CFD Toolbox
   \\    /   O peration     |
    \\  /    A nd           | Copyright (C) 2011-2015 OpenFOAM Foundation
     \\/     M anipulation  |
-------------------------------------------------------------------------------
License
    This file is part of OpenFOAM.
 
    OpenFOAM is free software: you can redistribute it and/or modify it
    under the terms of the GNU General Public License as published by
    the Free Software Foundation, either version 3 of the License, or
    (at your option) any later version.
 
    OpenFOAM is distributed in the hope that it will be useful, but WITHOUT
    ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
    FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
    for more details.
 
    You should have received a copy of the GNU General Public License
    along with OpenFOAM.  If not, see <http://www.gnu.org/licenses/>.
 
\*---------------------------------------------------------------------------*/
 
#include "tensor.H"
#include "mathematicalConstants.H"
 
using namespace Foam::constant::mathematical;
 
// * * * * * * * * * * * * * * Static Data Members * * * * * * * * * * * * * //
 
namespace Foam
{
    template<>
    const char* const tensor::typeName = "tensor";
 
    template<>
    const char* tensor::componentNames[] =
    {
        "xx", "xy", "xz",
        "yx", "yy", "yz",
        "zx", "zy", "zz"
    };
 
    template<>
    const tensor tensor::zero
    (
        0, 0, 0,
        0, 0, 0,
        0, 0, 0
    );
 
    template<>
    const tensor tensor::one
    (
        1, 1, 1,
        1, 1, 1,
        1, 1, 1
    );
 
    template<>
    const tensor tensor::max
    (
        VGREAT, VGREAT, VGREAT,
        VGREAT, VGREAT, VGREAT,
        VGREAT, VGREAT, VGREAT
    );
 
    template<>
    const tensor tensor::min
    (
        -VGREAT, -VGREAT, -VGREAT,
        -VGREAT, -VGREAT, -VGREAT,
        -VGREAT, -VGREAT, -VGREAT
    );
 
    template<>
    const tensor tensor::I
    (
        1, 0, 0,
        0, 1, 0,
        0, 0, 1
    );
}
 
 
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //
 
Foam::vector Foam::eigenValues(const tensor& t)
{
    // The eigenvalues
    scalar i, ii, iii;
 
    // diagonal matrix
    if
    (
        (
            mag(t.xy()) + mag(t.xz()) + mag(t.yx())
            + mag(t.yz()) + mag(t.zx()) + mag(t.zy())
        )
        < SMALL
    )
    {
        i = t.xx();
        ii = t.yy();
        iii = t.zz();
    }
 
    // non-diagonal matrix
    else
    {
        // Coefficients of the characteristic polynmial
        // x^3 + a*x^2 + b*x + c = 0
        scalar a =
           - t.xx() - t.yy() - t.zz();
 
        scalar b =
            t.xx()*t.yy() + t.xx()*t.zz() + t.yy()*t.zz()
          - t.xy()*t.yx() - t.yz()*t.zy() - t.zx()*t.xz();
 
        scalar c =
          - t.xx()*t.yy()*t.zz()
          - t.xy()*t.yz()*t.zx() - t.xz()*t.zy()*t.yx()
          + t.xx()*t.yz()*t.zy() + t.yy()*t.zx()*t.xz() + t.zz()*t.xy()*t.yx();
 
        // Auxillary variables
        scalar aBy3 = a/3;
 
        scalar P = (a*a - 3*b)/9; // == -p_wikipedia/3
        scalar PPP = P*P*P;
 
        scalar Q = (2*a*a*a - 9*a*b + 27*c)/54; // == q_wikipedia/2
        scalar QQ = Q*Q;
 
        // Three identical roots
        if (mag(P) < SMALL && mag(Q) < SMALL)
        {
            return vector(- aBy3, - aBy3, - aBy3);
        }
 
        // Two identical roots and one distinct root
        else if (mag(PPP/QQ - 1) < SMALL)
        {
            scalar sqrtP = sqrt(P);
            scalar signQ = sign(Q);
 
            i = ii = signQ*sqrtP - aBy3;
            iii = - 2*signQ*sqrtP - aBy3;
        }
 
        // Three distinct roots
        else if (PPP > QQ)
        {
            scalar sqrtP = sqrt(P);
            scalar value = cos(acos(Q/sqrt(PPP))/3);
            scalar delta = sqrt(3 - 3*value*value);
 
            i = - 2*sqrtP*value - aBy3;
            ii = sqrtP*(value + delta) - aBy3;
            iii = sqrtP*(value - delta) - aBy3;
        }
 
        // One real root, two imaginary roots
        // based on the above logic, PPP must be less than QQ
        else
        {
            WarningInFunction
                << "complex eigenvalues detected for tensor: " << t
                << endl;
 
            if (mag(P) < SMALL)
            {
                i = cbrt(QQ/2);
            }
            else
            {
                scalar w = cbrt(- Q - sqrt(QQ - PPP));
                i = w + P/w - aBy3;
            }
 
            return vector(-VGREAT, i, VGREAT);
        }
    }
 
    // Sort the eigenvalues into ascending order
    if (i > ii)
    {
        Swap(i, ii);
    }
 
    if (ii > iii)
    {
        Swap(ii, iii);
    }
 
    if (i > ii)
    {
        Swap(i, ii);
    }
 
    return vector(i, ii, iii);
}
 
 
Foam::vector Foam::eigenVector
(
    const tensor& t,
    const scalar lambda
)
{
    // Constantly rotating direction ensures different eigenvectors are
    // generated when called sequentially with a multiple eigenvalue
    static vector direction(1,0,0);
    vector oldDirection(direction);
    scalar temp = direction[2];
    direction[2] = direction[1];
    direction[1] = direction[0];
    direction[0] = temp;
 
    // Construct the linear system for this eigenvalue
    tensor A(t - lambda*I);
 
    // Determinants of the 2x2 sub-matrices used to find the eigenvectors
    scalar sd0, sd1, sd2;
    scalar magSd0, magSd1, magSd2;
 
    // Sub-determinants for a unique eivenvalue
    sd0 = A.yy()*A.zz() - A.yz()*A.zy();
    sd1 = A.zz()*A.xx() - A.zx()*A.xz();
    sd2 = A.xx()*A.yy() - A.xy()*A.yx();
    magSd0 = mag(sd0);
    magSd1 = mag(sd1);
    magSd2 = mag(sd2);
 
    // Evaluate the eigenvector using the largest sub-determinant
    if (magSd0 >= magSd1 && magSd0 >= magSd2 && magSd0 > SMALL)
    {
        vector ev
        (
            1,
            (A.yz()*A.zx() - A.zz()*A.yx())/sd0,
            (A.zy()*A.yx() - A.yy()*A.zx())/sd0
        );
 
        return ev/mag(ev);
    }
    else if (magSd1 >= magSd2 && magSd1 > SMALL)
    {
        vector ev
        (
            (A.xz()*A.zy() - A.zz()*A.xy())/sd1,
            1,
            (A.zx()*A.xy() - A.xx()*A.zy())/sd1
        );
 
        return ev/mag(ev);
    }
    else if (magSd2 > SMALL)
    {
        vector ev
        (
            (A.xy()*A.yz() - A.yy()*A.xz())/sd2,
            (A.yx()*A.xz() - A.xx()*A.yz())/sd2,
            1
        );
 
        return ev/mag(ev);
    }
 
    // Sub-determinants for a repeated eigenvalue
    sd0 = A.yy()*direction.z() - A.yz()*direction.y();
    sd1 = A.zz()*direction.x() - A.zx()*direction.z();
    sd2 = A.xx()*direction.y() - A.xy()*direction.x();
    magSd0 = mag(sd0);
    magSd1 = mag(sd1);
    magSd2 = mag(sd2);
 
    // Evaluate the eigenvector using the largest sub-determinant
    if (magSd0 >= magSd1 && magSd0 >= magSd2 && magSd0 > SMALL)
    {
        vector ev
        (
            1,
            (A.yz()*direction.x() - direction.z()*A.yx())/sd0,
            (direction.y()*A.yx() - A.yy()*direction.x())/sd0
        );
 
        return ev/mag(ev);
    }
    else if (magSd1 >= magSd2 && magSd1 > SMALL)
    {
        vector ev
        (
            (direction.z()*A.zy() - A.zz()*direction.y())/sd1,
            1,
            (A.zx()*direction.y() - direction.x()*A.zy())/sd1
        );
 
        return ev/mag(ev);
    }
    else if (magSd2 > SMALL)
    {
        vector ev
        (
            (A.xy()*direction.z() - direction.y()*A.xz())/sd2,
            (direction.x()*A.xz() - A.xx()*direction.z())/sd2,
            1
        );
 
        return ev/mag(ev);
    }
 
    // Triple eigenvalue
    return oldDirection;
}
 
 
Foam::tensor Foam::eigenVectors(const tensor& t)
{
    vector evals(eigenValues(t));
 
    tensor evs
    (
        eigenVector(t, evals.x()),
        eigenVector(t, evals.y()),
        eigenVector(t, evals.z())
    );
 
    return evs;
}
 
 
Foam::vector Foam::eigenValues(const symmTensor& t)
{
    return eigenValues(tensor(t));
}
 
 
Foam::vector Foam::eigenVector(const symmTensor& t, const scalar lambda)
{
    return eigenVector(tensor(t), lambda);
}
 
 
Foam::tensor Foam::eigenVectors(const symmTensor& t)
{
    return eigenVectors(tensor(t));
}
 
 
// ************************************************************************* //