! File: submodule_lorentz_group_boost_actions.f90 ! Authors: Francesco Torsello (FT) !************************************************************************ ! Copyright (C) 2020-2023 Francesco Torsello * ! * ! This file is part of SPHINCS_ID * ! * ! SPHINCS_ID 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. * ! * ! SPHINCS_ID 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 SPHINCS_ID. If not, see . * ! The copy of the GNU General Public License should be in the file * ! 'COPYING'. * !************************************************************************ SUBMODULE(lorentz_group) actions !*********************************************************** ! !# This submodule contains the implementations of the ! actions of the TYPES representing the members of ! the Lorentz group defined in MODULE lorentz_group, ! presently boosts and spatial rotations, to geometrical ! objects ! ! FT 08.12.2022 ! !*********************************************************** IMPLICIT NONE CONTAINS MODULE PROCEDURE apply_to_vector !*********************************************************** ! !# Implements the action of a boost on a \(4-\)vector ! ! FT 08.12.2022 ! !*********************************************************** IMPLICIT NONE INTEGER:: i DOUBLE PRECISION, DIMENSION(4):: row(0:3) DOUBLE PRECISION, DIMENSION(4):: column(0:3) !u_spatial= [u(1), u(2), u(3)] ! !transformed_u(0)= this% lambda*u(0) & ! + euclidean_inner_product( this% p, u_spatial ) ! !transformed_u(1)= this% p(1)*u(0) & ! + euclidean_inner_product( & ! [this% lambda_s(1), this% lambda_s(2), this% lambda_s(3)], & ! u_spatial ) ! !transformed_u(2)= this% p(2)*u(0) & ! + euclidean_inner_product( & ! [this% lambda_s(2), this% lambda_s(4), this% lambda_s(5)], & ! u_spatial ) ! !transformed_u(3)= this% p(3)*u(0) & ! + euclidean_inner_product( & ! [this% lambda_s(3), this% lambda_s(5), this% lambda_s(6)], & ! u_spatial ) column= u DO i= 0, 3, 1 row = this% matrix(i,:) transformed_u(i)= row_by_column(row,column) ENDDO END PROCEDURE apply_to_vector MODULE PROCEDURE apply_as_similarity_to_tensor !*********************************************************** ! !# Implements the action of a boost as a similarity ! on a linear operator ! ! FT 08.12.2022 ! !*********************************************************** IMPLICIT NONE transformed_t= square_matrix_multiplication( & square_matrix_multiplication(this% inv_matrix,t), this% matrix) END PROCEDURE apply_as_similarity_to_tensor MODULE PROCEDURE apply_as_similarity_to_symrank2_tensor !*********************************************************** ! !# Implements the action of a boost as a similarity ! on a \(10\)-vector storing the components of a symmetric ! \(4\times 4\) tensor ! ! FT 09.12.2022 ! !*********************************************************** USE metric_on_particles, ONLY: gvec2mat, mat2gvec IMPLICIT NONE DOUBLE PRECISION, DIMENSION(4,4):: t_mat(0:3,0:3) CALL gvec2mat(t,t_mat) CALL mat2gvec(transformed_t, this% apply_as_similarity_to_tensor(t_mat)) END PROCEDURE apply_as_similarity_to_symrank2_tensor MODULE PROCEDURE apply_as_congruence_to_tensor !*********************************************************** ! !# Implements the action of a boost as a congruence ! on a metric ! ! FT 08.12.2022 ! !*********************************************************** IMPLICIT NONE transformed_t= square_matrix_multiplication( & square_matrix_multiplication(this% tr_matrix,t), this% matrix) END PROCEDURE apply_as_congruence_to_tensor MODULE PROCEDURE apply_as_congruence_to_symrank2_tensor !*********************************************************** ! !# Implements the action of a boost as a similarity ! on a \(10\)-vector storing the components of a symmetric ! \(4\times 4\) tensor ! ! FT 09.12.2022 ! !*********************************************************** USE metric_on_particles, ONLY: gvec2mat, mat2gvec IMPLICIT NONE DOUBLE PRECISION, DIMENSION(4,4):: t_mat(0:3,0:3) CALL gvec2mat(t, t_mat) CALL mat2gvec(transformed_t, this% apply_as_congruence_to_tensor(t_mat)) END PROCEDURE apply_as_congruence_to_symrank2_tensor END SUBMODULE actions