#include "Compare.hh" #include "Cleanup.hh" #include "algorithms/product_rule.hh" #include "properties/Derivative.hh" #include "properties/DerivativeOp.hh" #include "properties/DifferentialForm.hh" using namespace cadabra; // #define DEBUG 1 product_rule::product_rule(const Kernel& k, Ex& tr) : Algorithm(k, tr), number_of_indices(0) { } // // A(b*c*d) -> A(b)*c*d + b*A(c)*d + b*c*A(d) // A(b*c)(e*f) 1-> A(b)(e*f)*c + b*A(c)(e*f) // A(b*c)(e*f) 2-> A(b*c)(e)*f + e*A(b*c)(f) bool product_rule::can_apply(iterator it) { const Derivative *der=kernel.properties.get(it); if(der || *it->name=="\\cdbDerivative") { prodnode=tr.end(); number_of_indices=0; if(tr.number_of_children(it)>0) { sibling_iterator ch=tr.begin(it); while(ch!=tr.end(it)) { if(prodnode==tr.end() && ( *ch->name=="\\prod" || *ch->name=="\\pow" || *ch->name=="\\wedge" ) ) prodnode=ch; // prodnode contains the first product node, there may be more else { if(ch->is_index()) ++number_of_indices; } ++ch; } if(prodnode!=tr.end()) return true; } } else { const DerivativeOp *derop=kernel.properties.get(it); if(derop) return true; } return false; } Algorithm::result_t product_rule::apply(iterator& it) { #ifdef DEBUG std::cerr << "product_rule::apply: at " << it << std::endl; #endif Ex rep; // the subtree storing the result iterator sm; // the sum node inside 'rep' // If we are distributing a multiple derivative, take out all // indices except the last one, and wrap things in a new derivative // node which has these indices as child nodes. bool indices_at_front=true; if(number_of_indices>1) { rep.set_head(str_node(it->name)); sm=rep.append_child(rep.begin(),str_node("\\sum")); sibling_iterator sib=tr.begin(it); if(sib->is_index()==false) indices_at_front=false; int todo=number_of_indices-1; while(todo>0) { // Move all indices except the last one away. if(sib->is_index()) { --todo; sibling_iterator nxt=sib; ++nxt; if(indices_at_front) rep.move_before(sm, (iterator)sib); else rep.move_after(sm, (iterator)sib); sib=nxt; } else ++sib; if(sib==tr.end(it)) throw ConsistencyException("product_rule: Error isolating derivative indices."); } } else { sm=rep.set_head(str_node("\\sum")); if(tr.begin(it)->is_index()==false) indices_at_front=false; } // Two cases to handle now: D(A**n) -> n D(A**(n-1)) and // D(A*B) -> D(A)*B + A*D(B) // both suitably generalised to anti-commuting derivatives. iterator rename_dummies_at = tr.end(); if(*prodnode->name=="\\pow") { // FIXME: the code below assumes that the derivative acts on the first // child of \pow only, so \partial_{x}{x^n} is done correctly, but // \partial_{x}{e^x} becomes x e^{x-1} \partial_{x}{e} which is wrong. sibling_iterator ar=tr.begin(prodnode); sibling_iterator pw=ar; ++pw; sm->name=name_set.insert("\\prod").first; if(pw->is_integer()) multiply(sm->multiplier, *pw->multiplier); else rep.append_child(sm, (iterator)pw); // \partial(A**n) iterator pref=rep.append_child(sm, iterator(prodnode)); // add A**n iterator theD=rep.append_child(sm, it); // add \partial_{m}(A**n) rename_dummies_at=theD; sibling_iterator repch=tr.begin(theD); // convert to \partial_{m}(A) while(*repch->name!="\\pow") ++repch; sibling_iterator pw2=tr.begin(repch); rep.move_before(repch, pw2); // txtout << "after rep.move_before" << std::endl; // tr.print_recursive_treeform(txtout, rep.begin()); rep.erase(repch); // txtout << "after rep.erase" << std::endl; // tr.print_recursive_treeform(txtout, rep.begin()); if(pw->is_integer()) { // A**n -> A**(n-1) if(*pw->multiplier==2) { iterator nn=rep.move_after(pref, iterator(tr.begin(pref))); multiply(nn->multiplier, *pref->multiplier); rep.erase(pref); } else { pw2=tr.begin(pref); ++pw2; add(pw2->multiplier, -1); } // txtout << "after all done " << std::endl; // tr.print_recursive_treeform(txtout, rep.begin()); } else { pw2=tr.begin(pref); ++pw2; if(*pw2->name=="\\sum") { iterator tmp=rep.append_child(pw2, str_node("1")); tmp->fl.bracket=rep.begin(pw2)->fl.bracket; multiply(tmp->multiplier, -1); } else { iterator sumn=rep.wrap(pw2, str_node("\\sum")); iterator tmp=rep.append_child(sumn, str_node("1")); multiply(tmp->multiplier, -1); } } iterator top=rep.begin(); cleanup_dispatch(kernel, tr, top); } else { // replace the '\diff' with a '\sum' of diffs. unsigned int num=0; sibling_iterator chl=tr.begin(prodnode); // pointer to current factor in the product int sign=1; // keep track of a sign for anti-commuting derivatives // In order to figure out whether a derivative is anti-commuting with // a given object in the product on which it acts, we need to consider // a number of cases: // // D_{a}{\theta^{b}} with \theta^{a} Coordinate & SelfAntiCommuting // D_{\theta^{a}}{\theta^{b}} with \theta^{a} Coordinate and a,b,c AntiCommuting // D_{a}{D_{b}{G}} handled by making indices AntiCommuting. // D_{a}{D_{\dot{b}}{G}} handled by making indices AntiCommuting. // D_{a}{T^{a b}} handled by making indices AntiCommuting. // D_{a}{\theta} with \theta having an ImplicitIndex of type 'a' // D{ A B } not yet handled (problem is to give scalar anti-commutativity // property to D, A, B). Ex_comparator comp(kernel.properties); while(chl!=tr.end(prodnode)) { // iterate over all factors in the product // Add the whole product node to the replacement sum. iterator dummy=rep.append_child(sm); dummy=rep.replace(dummy, prodnode); if(tr.is_head(it)) dummy->fl.bracket=str_node::b_none; else dummy->fl.bracket=str_node::b_round; sibling_iterator wrap=rep.begin(dummy); // Go to the 'num'th factor in the product. wrap+=num; // Replace this num'th factor with the original expression. // We will then remove all that has to be removed. iterator theD=rep.insert_subtree(wrap, it); // iterator to the Derivative node theD->fl.bracket=wrap->fl.bracket; // Go to the 'prod' child of the \diff. sibling_iterator repch=tr.begin(theD); while(*repch->name!="\\prod" && *repch->name!="\\wedge") { ++repch; if(repch==tr.end(theD)) throw InternalError("Inconsistent intermediate expression in product_rule()"); } // Replace this 'prod' child with 'just' the factor to be replaced, i.e. // remove all the other factors which have been taken out of the derivative. wrap->fl.bracket=prodnode->fl.bracket; repch=tr.replace(repch,wrap); // Erase the factor which we replaced with the \diff. tr.erase(wrap); // Handle signs for anti-commuting derivatives. multiply(dummy->multiplier, sign); // Update the sign. First create an Ex containing the derivative _without_ // the object on which it acts. Ex emptyD(theD); sibling_iterator theDargs=emptyD.begin(emptyD.begin()); while(theDargs!=emptyD.end(emptyD.begin())) { if(theDargs->is_index()==false) theDargs=tr.erase(theDargs); else ++theDargs; } auto stc=comp.equal_subtree(emptyD.begin(), repch); // txtout << "trying to move " << *emptyD.begin()->name << " through " << *repch->name // << " " << stc << std::endl; int ret=comp.can_swap(emptyD.begin(), repch, stc); // txtout << ret << std::endl; if(ret==0) { // This happens when a derivative acts on a product of ImplicitIndices // objects. That's not going to be an anti-commuting derivative, so set // the sign to 1. ret=1; // return result_t::l_no_action; } sign*=ret; // Because 'd' already reports itself to have differential form degree one, // and can_swap takes that into account when computing the swap behaviour of // 'd' and another form, we do not need to do anything separately for the // exterior derivative. // Avoid \partial_{a}{\partial_{b} ...} constructions in // case this child is a \partial-like too. // iterator repchi=repch; // The 'dummy' iterator points to the \prod node. cleanup_dispatch(kernel, tr, theD); cleanup_dispatch(kernel, tr, dummy); ++chl; ++num; } } // it=tr.replace(it,rep.begin()); it=tr.move_ontop(it, rep.begin()); #ifdef DEBUG std::cerr << "product_rule: " << it << std::endl; #endif if(rename_dummies_at!=tr.end()) { // std::cerr << "...\n"; // std::cerr << Ex(rename_dummies_at) << std::endl; // std::cerr << "---\n"; // std::cerr << Ex(it) << std::endl; // std::cerr << "===\n"; rename_replacement_dummies(rename_dummies_at, false); } // cleanup_expression(tr, it); // cleanup_nests_below(tr, it); return result_t::l_applied; }