\chapter{Tensor product of chain complexes} \section{Introduction} One knows that the homology groups of a cartesian product of two spaces $K$ and $L$ may be obtained by considering a chain complex derived from respective chain complexes of $K$ and $L$ by taking their {\em tensor product}. But this is only one of the numerous uses of tensor products of chain complexes in algebraic topology, so the {\tt Kenzo} software provides the handling of such an important tool. \par Let us recall that chain complexes are free $\Z$--modules with distinguished basis. A tensor product\index{tensor product!of chain complexes} of chain complexes is itself a free $\Z$--module with a natural basis formed by the tensor product of the generators of the chain complex factors. The program conforms to that rule. \section{Tensor product of generators and combinations} An elementary tensor product\index{tensor product!of generators} of two generators is represented, in the software, by a structured list in which we may find $4$ items for the description of the two generators together with their respective degree. The internal representation of $gnrt1 \otimes gnrt2$ has the form: \begin{center} {\tt (:tnpr ({\em degr1}.{\em gnrt1}).({\em degr2}.{\em gnrt2}))} \end{center} where, \begin{enumerate} \item {\em degr1} is an integer, the degree of the generator {\em gnrt1}. \item {\em gnrt1} is the first generator of the pair. \item {\em degr2} is an integer, the degree of the generator {\em gnrt2}. \item {\em gnrt2} is the second generator of the pair. \end{enumerate} To construct such an object, one may use the macro {\tt tnpr}. The cor\-res\-pon\-ding type is {\tt TNPR}. The printing method prints the tensor product under the form: \begin{center} {\tt } or {\tt } \end{center} according to the boolean value, {\tt NIL} (default) or {\tt T} of the system variable {\tt *tnpr-with-degrees*} (see the examples). \subsection {Simple functions for the tensor product} {\parindent=0mm {\leftskip=5mm {\tt tnpr} {\em degr1 gnrt1 degr2 gnrt2} \hfill {\em [Macro]} \par} {\leftskip=15mm Build a tensor product $gnrt1 \otimes gnrt2$. \par} {\leftskip=5mm {\tt tnpr-p} {\em object} \hfill {\em [Predicate]} \par} {\leftskip=15mm Test if {\em object} is of type {\tt TNPR}. \par} {\leftskip=5mm {\tt degr1} {\em tnpr} \hfill {\em [Macro]} \par} {\leftskip=15mm Select the degree of the first generator in the tensor product {\em tnpr}. \par} {\leftskip=5mm {\tt gnrt1} {\em tnpr} \hfill {\em [Macro]} \par} {\leftskip=15mm Select the first generator from the object {\em tnpr}. \par} {\leftskip=5mm {\tt degr2} {\em tnpr} \hfill {\em [Macro]} \par} {\leftskip=15mm Select the degree of the second generator in the tensor product {\em tnpr}. \par} {\leftskip=5mm {\tt gnrt2} {\em tnpr} \hfill {\em [Macro]} \par} {\leftskip=15mm Select the second generator from the object {\em tnpr}. \par} {\leftskip=5mm {\tt 2cmbn-tnpr} {\em cmbn1 cmbn2} \hfill {\em [Function]} \par} {\leftskip=15mm Create, from two combinations {\em cmbn1} and {\em cmbn2} with respective degree {\em degr1} and {\em degr2}, a combination of degree $dgr1 + dgr2$ by applying the tensorial distributive law on the two sums of terms of the combinations. \par} } \subsection* {Example} {\footnotesize\begin{verbatim} (tnpr 1 'a 2 'b) ==> (tnpr-p *) ==> T (tnpr-p (cmbn 0 1 'a 2 'b)) ==> NIL (setf *tnpr-with-degrees* t) ==> T (2cmbn-tnpr (cmbn 2 3 'a 4 'b -5 'c) (cmbn 3 4 'x -3 'y 2 'z)) ==> ----------------------------------------------------------------------{CMBN 5} <12 * > <-9 * > <6 * > <16 * > <-12 * > <8 * > <-20 * > <15 * > <-10 * > ------------------------------------------------------------------------------ (setf *tnpr-with-degrees* nil) ==> NIL ** ==> ;;; ** is the last but one result ----------------------------------------------------------------------{CMBN 5} <12 * > <-9 * > <6 * > <16 * > <-12 * > <8 * > <-20 * > <15 * > <-10 * > ------------------------------------------------------------------------------ \end{verbatim}} \newpage \section{Tensor product of chain complexes} The\index{tensor product!of chain complexes} software implements the tensor product of chain complexes according to the classical following definition. Let $C$ and $C'$ two chain complexes. The tensor product $C\otimes C'$ is the chain complex $D$ such that: $$ D_p=\bigoplus_{m+n=p}C_m\otimes C_n',$$ $C_m\otimes C_n'$ being the tensor product of the two modules $C_m$ and $C_n'$. A basis for $D_p$ is the union of the basis of $C_m\otimes C_n'$, with $m+n=p$. \par The boundary operator $d^{\otimes}$ is defined, according to the Koszul rule, by: $$d^{\otimes}(c_m\otimes c_n')=d(c_m)\otimes c_n' +(-1)^m c_m\otimes d'(c_n'),$$ with $c_m\in C_m,\ c_n'\in C_n'$ and $d$, $d'$ being the respective boundary operators of $C$ and $C'$. \par In the software, this is realized by the function {\tt tnsr-prdc}. \vskip 0.40cm {\parindent=0mm {\leftskip=5mm {\tt tnsr-prdc} {\em chcm1 chcm2} \hfill {\em [Method]} \par} {\leftskip=15mm Build a chain complex, tensor product of the two chain complexes {\em chcm1} and {\em chcm2}. The elements of this new chain complex are integer combinations of generators of {\tt TNPR} type. The creation of this new chain complex is done by a call to the function {\tt build-chcm} with actual parameters defined from the constituting elements of {\em chcm1} and {\em chcm2}, according to the mathematical definitions above. If both arguments are {\em effective}, the function constructs an {\em effective} chain complex. On the other hand, if at least one of the chain complex is {\em locally effective}, the tensor product is also {\em locally effective}. In fact, the construction is correct only if both chain complexes are null in negative degrees, otherwise the result is undefined. \par}} \subsection* {Examples} Let us take the standard $2$--simplex, $\Delta^2$ and let us build $C_*(\Delta^2) \otimes C_*(\Delta^2)$. To build the corresponding chain complex, we use the function {\tt cdelta}, defined in a previous chapter. {\footnotesize\begin{verbatim} (setf triangle (cdelta 2)) ==> [K1 Chain-Complex] (basis triangle 1) ==> ((0 1) (0 2) (1 2)) (setf tpr-triangles (tnsr-prdc triangle triangle)) ==> [K3 Chain-Complex] \end{verbatim}} Let us inspect some basis of this newly created chain complex. {\footnotesize\begin{verbatim} (basis tpr-triangles 0) ==> ( ) (basis tpr-triangles 1) ==> ( ) (basis tpr-triangles 2) ==> ( ) (basis tpr-triangles 3) ==> ( ) (basis tpr-triangles 4) ==> () \end{verbatim}} Let us consider now the chain complex, $ccn$, that we used in the chain complex chapter. The basis in any degree are decades produced by the function {\tt [K5 Chain-Complex] (basis ccn 3) ==> (30 31 32 33 34 35 36 37 38 39) (setf tpr-ccn-ccn (tnsr-prdc ccn ccn)) ==> [K7 Chain-Complex] (setf comb2 (cmbn 2 1 21 5 25 9 29)) ==> ----------------------------------------------------------------------{CMBN 2} <1 * 21> <5 * 25> <9 * 29> ------------------------------------------------------------------------------ (setf comb3 (cmbn 3 2 32 3 33 -4 34 -6 36)) ==> ----------------------------------------------------------------------{CMBN 3} <2 * 32> <3 * 33> <-4 * 34> <-6 * 36> ------------------------------------------------------------------------------ (setf tcmb (2cmbn-tnpr comb2 comb3)) ==> ----------------------------------------------------------------------{CMBN 5} <2 * > <3 * > <-4 * > <-6 * > <10 * > <15 * > <-20 * > <-30 * > <18 * > <27 * > <-36 * > <-54 * > ------------------------------------------------------------------------------ (? tpr-ccn-ccn *) ==> ----------------------------------------------------------------------{CMBN 4} <3 * > <15 * > <27 * > ------------------------------------------------------------------------------ (? tpr-ccn-ccn *) ==> ----------------------------------------------------------------------{CMBN 3} ------------------------------------------------------------------------------ \end{verbatim}} \newpage \section{Tensor product of morphisms, reductions, homotopy equivalences.} Let\index{tensor product!of morphisms} $f:A_1 \longrightarrow A_2$ and $g:B_1 \longrightarrow B_2$ two morphisms between two chain complexes. The tensor product $f \otimes g$ is the morphism $$f\otimes g : A_1\otimes B_1 \longrightarrow A_2\otimes B_2$$ defined by the following formula respecting the Koszul rule: $$ (f\otimes g) (a_1 \otimes b_1)= (-1)^{deg(g)*deg(a1)}f(a_1) \otimes g(b_1).$$ The method {\tt tnsr-prdc} already defined for chain complexes, may be also used for that purpose. \vskip 0.45cm {\parindent=0mm {\leftskip=5mm {\tt tnsr-prdc} {\em mrph1 mrph2} \hfill {\em [Method]} \par} {\leftskip=15mm Return the morphism, tensor product of the two morphisms {\em mrph1} and {\em mrph2}. The source and target of this new morphism are res\-pec\-ti\-ve\-ly the tensor product of the chain complexes source and target of {\em mrph1} and {\em mrph2}. The degree is the sum of the degrees of the parameters and the lisp function (the {\tt :pure} keyword argument of the function {\tt build-mrph}) conforms to the mathematical definition above. The strategy is by generator, i.e. the morphism is designed to work with $2$ arguments: a degree and a generator which must be an object of type {\tt TNPR}. \par} {\leftskip=5mm {\tt tnsr-prdc} {\em rdct1 rdct2} \hfill {\em [Method]} \par} {\leftskip=15mm Return the reduction\index{tensor product!of reductions}, tensor product of the two reductions {\em rdct1} and {\em rdct2}. The algorithm consists essentially in defining $$f=f1 \otimes f2,\, g=g1 \otimes g2,\, h= h1 \otimes (g2 \circ g2) + Id_{tcc1} \otimes h2,$$ where $Id_{tcc1}$ is the identity morphism in the top chain complex of the reduction {\em rdct1}. The returned reduction is then built by a call to the method {\tt build-rdct}. This defines completely the chain complexes involved in the reduction. \par} {\leftskip=5mm {\tt tnsr-prdc} {\em hmeq1 hmeq2} \hfill {\em [Method]} \par} {\leftskip=15mm Return\index{tensor product!of homotopy equivalence} the homotopy equivalence, tensor product of the two homotopy equivalence {\em heqm1} and {\em heqm2}. This is a homotopy equivalence where the new reductions are the tensor products of the arguments reductions (See the lisp definition just below). \par} } \subsection {Searching homology for tensor products} The\index{searching homology!tensor products} comment list of a tensor product of two chain complexes has the form {\tt (TNSR-PRDC {\em chcm1} {\em chcm2})}. The {\tt search-efhm} method applied to a tensor product, looks for the value of the respective {\tt efhm} slots of the chain complexes {\em chcm1} and {\em chcm2}, (i.e. two homotopy equivalences) or tries to settle these slots if they are still unbound. Then it builds the tensor product of both homotopy equivalences, as shown in the following lisp listing. At its turn, the resulting homotopy equivalence will become the value of the {\tt efhm} slot of the initial tensor product chain complex. {\footnotesize\begin{verbatim} (defmethod SEARCH-EFHM (chcm (orgn (eql 'tnsr-prdc))) (declare (type chain-complex chcm)) (the homotopy-equivalence (tnsr-prdc (efhm (second (orgn chcm))) (efhm (third (orgn chcm)))))) (defmethod TNSR-PRDC ((hmeq1 homotopy-equivalence) (hmeq2 homotopy-equivalence)) (the homotopy-equivalence (build-hmeq :lrdct (tnsr-prdc (lrdct hmeq1) (lrdct hmeq2)) :rrdct (tnsr-prdc (rrdct hmeq1) (rrdct hmeq2)) :orgn `(tnsr-prdc ,hmeq1 ,hmeq2)))) \end{verbatim}} \subsection* {Lisp file concerned in this chapter} {\tt tensor-products.lisp}, {\tt searching-homology.lisp}.