* Implementation of GiNaC's special tensors. */
/*
- * GiNaC Copyright (C) 1999-2001 Johannes Gutenberg University Mainz, Germany
+ * GiNaC Copyright (C) 1999-2002 Johannes Gutenberg University Mainz, Germany
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*/
+#include <iostream>
#include <stdexcept>
#include <vector>
#include "print.h"
#include "archive.h"
#include "utils.h"
-#include "debugmsg.h"
namespace GiNaC {
GINAC_IMPLEMENT_REGISTERED_CLASS(tensepsilon, tensor)
//////////
-// default constructor, destructor, copy constructor assignment operator and helpers
+// default ctor, dtor, copy ctor, assignment operator and helpers
//////////
-tensor::tensor(unsigned ti) : inherited(ti)
-{
- debugmsg("tensor constructor from unsigned", LOGLEVEL_CONSTRUCT); \
-}
-
DEFAULT_CTORS(tensor)
DEFAULT_CTORS(tensdelta)
DEFAULT_CTORS(tensmetric)
minkmetric::minkmetric() : pos_sig(false)
{
- debugmsg("minkmetric default constructor", LOGLEVEL_CONSTRUCT);
tinfo_key = TINFO_minkmetric;
}
spinmetric::spinmetric()
{
- debugmsg("spinmetric default constructor", LOGLEVEL_CONSTRUCT);
tinfo_key = TINFO_spinmetric;
}
minkmetric::minkmetric(bool ps) : pos_sig(ps)
{
- debugmsg("minkmetric constructor from bool", LOGLEVEL_CONSTRUCT);
tinfo_key = TINFO_minkmetric;
}
tensepsilon::tensepsilon() : minkowski(false), pos_sig(false)
{
- debugmsg("tensepsilon default constructor", LOGLEVEL_CONSTRUCT);
tinfo_key = TINFO_tensepsilon;
}
tensepsilon::tensepsilon(bool mink, bool ps) : minkowski(mink), pos_sig(ps)
{
- debugmsg("tensepsilon constructor from bool,bool", LOGLEVEL_CONSTRUCT);
tinfo_key = TINFO_tensepsilon;
}
minkmetric::minkmetric(const archive_node &n, const lst &sym_lst) : inherited(n, sym_lst)
{
- debugmsg("minkmetric constructor from archive_node", LOGLEVEL_CONSTRUCT);
n.find_bool("pos_sig", pos_sig);
}
tensepsilon::tensepsilon(const archive_node &n, const lst &sym_lst) : inherited(n, sym_lst)
{
- debugmsg("tensepsilon constructor from archive_node", LOGLEVEL_CONSTRUCT);
n.find_bool("minkowski", minkowski);
n.find_bool("pos_sig", pos_sig);
}
if (static_cast<const indexed &>(i).all_index_values_are(info_flags::integer)) {
int n1 = ex_to<numeric>(i1.get_value()).to_int(), n2 = ex_to<numeric>(i2.get_value()).to_int();
if (n1 == n2)
- return _ex1();
+ return _ex1;
else
- return _ex0();
+ return _ex0;
}
// No further simplifications
if (static_cast<const indexed &>(i).all_index_values_are(info_flags::nonnegint)) {
int n1 = ex_to<numeric>(i1.get_value()).to_int(), n2 = ex_to<numeric>(i2.get_value()).to_int();
if (n1 != n2)
- return _ex0();
+ return _ex0;
else if (n1 == 0)
- return pos_sig ? _ex_1() : _ex1();
+ return pos_sig ? _ex_1 : _ex1;
else
- return pos_sig ? _ex1() : _ex_1();
+ return pos_sig ? _ex1 : _ex_1;
}
// Perform the usual evaluations of a metric tensor
// Convolutions are zero
if (!(static_cast<const indexed &>(i).get_dummy_indices().empty()))
- return _ex0();
+ return _ex0;
// Numeric evaluation
if (static_cast<const indexed &>(i).all_index_values_are(info_flags::nonnegint)) {
int n1 = ex_to<numeric>(i1.get_value()).to_int(), n2 = ex_to<numeric>(i2.get_value()).to_int();
if (n1 == n2)
- return _ex0();
+ return _ex0;
else if (n1 < n2)
- return _ex1();
+ return _ex1;
else
- return _ex_1();
+ return _ex_1;
}
// No further simplifications
// Convolutions are zero
if (!(static_cast<const indexed &>(i).get_dummy_indices().empty()))
- return _ex0();
+ return _ex0;
// Numeric evaluation
if (static_cast<const indexed &>(i).all_index_values_are(info_flags::nonnegint)) {
// Contraction found, remove delta tensor and substitute
// index in second object
- *self = _ex1();
+ *self = _ex1;
*other = other->subs(other_idx == *free_idx);
return true;
}
// Contraction found, remove metric tensor and substitute
// index in second object
- *self = _ex1();
+ *self = _ex1;
*other = other->subs(other_idx == *free_idx);
return true;
}
if (is_dummy_pair(self_i1, other_i1)) {
if (is_dummy_pair(self_i2, other_i2))
- *self = _ex2();
+ *self = _ex2;
else
*self = delta_tensor(self_i2, other_i2);
- *other = _ex1();
+ *other = _ex1;
return true;
} else if (is_dummy_pair(self_i1, other_i2)) {
if (is_dummy_pair(self_i2, other_i1))
- *self = _ex_2();
+ *self = _ex_2;
else
*self = -delta_tensor(self_i2, other_i1);
- *other = _ex1();
+ *other = _ex1;
return true;
} else if (is_dummy_pair(self_i2, other_i1)) {
*self = -delta_tensor(self_i1, other_i2);
- *other = _ex1();
+ *other = _ex1;
return true;
} else if (is_dummy_pair(self_i2, other_i2)) {
*self = delta_tensor(self_i1, other_i1);
- *other = _ex1();
+ *other = _ex1;
return true;
}
}
}
int sign = minkowski ? -1 : 1;
*self = sign * M.determinant().simplify_indexed();
- *other = _ex1();
+ *other = _ex1;
return true;
} else if (other->return_type() == return_types::commutative) {
} else {
// Yes, the contraction is zero
- *self = _ex0();
- *other = _ex0();
+ *self = _ex0;
+ *other = _ex0;
return true;
}
}
ex dim = ex_to<idx>(i1).get_dim();
if (!dim.is_equal(ex_to<idx>(i2).get_dim()))
throw(std::invalid_argument("all indices of epsilon tensor must have the same dimension"));
- if (!ex_to<idx>(i1).get_dim().is_equal(_ex2()))
+ if (!ex_to<idx>(i1).get_dim().is_equal(_ex2))
throw(std::runtime_error("index dimension of epsilon tensor must match number of indices"));
return indexed(tensepsilon(), sy_anti(), i1, i2);
ex dim = ex_to<idx>(i1).get_dim();
if (!dim.is_equal(ex_to<idx>(i2).get_dim()) || !dim.is_equal(ex_to<idx>(i3).get_dim()))
throw(std::invalid_argument("all indices of epsilon tensor must have the same dimension"));
- if (!ex_to<idx>(i1).get_dim().is_equal(_ex3()))
+ if (!ex_to<idx>(i1).get_dim().is_equal(_ex3))
throw(std::runtime_error("index dimension of epsilon tensor must match number of indices"));
return indexed(tensepsilon(), sy_anti(), i1, i2, i3);
ex dim = ex_to<idx>(i1).get_dim();
if (!dim.is_equal(ex_to<idx>(i2).get_dim()) || !dim.is_equal(ex_to<idx>(i3).get_dim()) || !dim.is_equal(ex_to<idx>(i4).get_dim()))
throw(std::invalid_argument("all indices of epsilon tensor must have the same dimension"));
- if (!ex_to<idx>(i1).get_dim().is_equal(_ex4()))
+ if (!ex_to<idx>(i1).get_dim().is_equal(_ex4))
throw(std::runtime_error("index dimension of epsilon tensor must match number of indices"));
return indexed(tensepsilon(true, pos_sig), sy_anti(), i1, i2, i3, i4);
git://www.ginac.de / ginac.git / blobdiff