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CLIFFORD AND GRASSMANN HOPF ALGEBRAS VIA THE ...

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of tensor monoms. It is the multilinearity that guarantees that every tensor<br />

can be written as a linear combination of some tensor basis monoms (Hilbert<br />

basis theorem). The i-th place in a list of arguments of a tensor will be called<br />

the i-th slot.<br />

Acting on a tensor means:<br />

• Removing or grafting of terms from or into a tensor<br />

• Rearranging the tensor<br />

• Acting with operators on n-slots producing m-slots<br />

The first set of operations is given by peek and poke. They work as expected:<br />

peek takes as an argument a number of the slot which it intends to remove<br />

and returns a sequence of lists of the removed terms and the remaining tensor.<br />

Procedure poke needs three arguments: a tensor, a Graßmann multivector<br />

which will be put into the i-th place, and the slot number i.<br />

> f:=x->’peek’(x,2):x:=&t(e1,a*e2+b*e3,e3):f(x)=eval(f(x));<br />

peek(&t(e1 ,ae2 , e3 )+&t(e1 ,be3 , e3 ), 2) = ([a e2 , e1 &t e3 ], [b e3 , e1 &t e3 ])<br />

> g:=x-> ’poke’(x,e2,3):x:=&t(e1,a*e2+b*e3):g(x)=eval(g(x));<br />

poke((e1 &t a e2 )+(e1 &t b e3 ), e2 , 3) = &t(e1 ,ae2 , e2 ) + &t(e1 ,be3 , e2 )<br />

The second group of operations consists of switches –also called crossings or<br />

braids– which allow to reorder the tensors. In any CAS, it would be easy, say,<br />

to multiply the i-th and the j-th slots of a tensor and place the output into<br />

the k-th slot. However, mathematical reasons disallow such a brute method.<br />

If one demands that any reordering process be generated from the reordering<br />

rules of generators, one has to assume that a crossing is a natural transformation<br />

in a functorial sense and obeys coherence, see [12–14]. In fact these<br />

two conditions imply the quantum Yang Baxter equation which is discussed<br />

below. The Graßmann Hopf algebraic graded crossing and the ordinary switch<br />

(swap) of two elements fulfill these properties.<br />

The switch procedure swaps two adjacent tensor slots in a general tensor<br />

polynomial, while the graded switch gswitch respects the grading of the factors.<br />

Both functions take as a second argument i, the number of the tensor<br />

slot to act on, that is, to switch the i-th and the (i + 1)-st tensor entries.<br />

> f1:=x->’switch’(x,2):x:=&t(e1,e2,e3,e4):f1(x)=eval(f1(x));<br />

switch(&t(e1 , e2 , e3 , e4 ), 2) = &t(e1 , e3 , e2 , e4 )<br />

> f2:=x->’gswitch’(x,2):x:=&t(e1,e2,e3,e4):f2(x)=eval(f2(x));<br />

gswitch(&t(e1 , e2 , e3 , e4 ), 2) = −&t(e1 , e3 , e2 , e4 )<br />

6

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