Macaulay2 » Documentation
Packages » Macaulay2Doc :: tensor(Monoid,Monoid)
next | previous | forward | backward | up | index | toc

tensor(Monoid,Monoid) -- tensor product of monoids

Synopsis

Description

This is the same as A ** B except that options are allowed, see Monoid ** Monoid and Ring ** Ring. This method allows many of the options available for monoids, see monoid for details. This method essentially combines the variables of A and B into one monoid or ring.

i1 : kk = ZZ/101

o1 = kk

o1 : QuotientRing
i2 : A = kk[a,b]

o2 = A

o2 : PolynomialRing
i3 : B = kk[c,d,e]

o3 = B

o3 : PolynomialRing

The simplest version is to simply use **:

i4 : describe(A**B)

o4 = kk[a..e, Degrees => {2:{1}, 3:{0}}, Heft => {2:1}, MonomialOrder => {MonomialSize => 32}]
                            {0}    {1}                                   {GRevLex => {2:1}  }
                                                                         {Position => Up    }
                                                                         {GRevLex => {3:1}  }

If you wish to change the variable names:

i5 : describe tensor(A, B, VariableBaseName => p)

o5 = kk[p ..p , Degrees => {2:{1}, 3:{0}}, Heft => {2:1}, MonomialOrder => {MonomialSize => 32}]
         0   4                {0}    {1}                                   {GRevLex => {2:1}  }
                                                                           {Position => Up    }
                                                                           {GRevLex => {3:1}  }
i6 : describe tensor(A, B, Variables => {a1,a2,b1,b2,b3})

o6 = kk[a1, a2, b1, b2, b3, Degrees => {2:{1}, 3:{0}}, Heft => {2:1}, MonomialOrder => {MonomialSize => 32}]
                                          {0}    {1}                                   {GRevLex => {2:1}  }
                                                                                       {Position => Up    }
                                                                                       {GRevLex => {3:1}  }

The tensor product of two singly graded rings is bigraded. Sometimes you want a singly graded ring. Here is one way to get it:

i7 : describe (C = tensor(A, B, DegreeRank => 1, Degrees => {5:1}))

o7 = kk[a..e, Degrees => {5:1}, Heft => {1}, MonomialOrder => {MonomialSize => 32}]
                                                              {GRevLex => {2:1}  }
                                                              {Position => Up    }
                                                              {GRevLex => {3:1}  }
i8 : degreeLength C

o8 = 1
i9 : degreesRing C

o9 = ZZ[T]

o9 : PolynomialRing

Packing monomials into smaller space is more efficient, but less flexible. The default is 32 bits, so if you want to pack them into 8 bit exponents, use:

i10 : describe tensor(A, B, MonomialSize => 8)

o10 = kk[a..e, Degrees => {2:{1}, 3:{0}}, Heft => {2:1}, MonomialOrder => {MonomialSize => 8 }]
                             {0}    {1}                                   {MonomialSize => 32}
                                                                          {GRevLex => {2:1}  }
                                                                          {Position => Up    }
                                                                          {GRevLex => {3:1}  }

The default monomial order for tensor products is a product order. Sometimes other orders are more desirable, e.g. GRevLex, or an elimination order:

i11 : describe (C = tensor(A, B, MonomialOrder => Eliminate numgens A))

o11 = kk[a..e, Degrees => {2:{1}, 3:{0}}, Heft => {2:1}, MonomialOrder => {MonomialSize => 32}]
                             {0}    {1}                                   {Weights => {2:1}  }
                                                                          {GRevLex => {5:1}  }
                                                                          {Position => Up    }
i12 : describe (C = tensor(A, B, MonomialOrder => GRevLex))

o12 = kk[a..e, Degrees => {2:{1}, 3:{0}}, Heft => {2:1}]
                             {0}    {1}

If you tensor two skew-commutative rings, (or one skew commutative ring with a commutative polynomial ring), then all of the skew-commuting variables skew commute with each other:

i13 : As = kk[a, b, SkewCommutative => true]

o13 = As

o13 : PolynomialRing, 2 skew commutative variable(s)
i14 : D  = kk[c, d, e, SkewCommutative => true]

o14 = D

o14 : PolynomialRing, 3 skew commutative variable(s)
i15 : E = tensor(As, D)

o15 = E

o15 : PolynomialRing, 5 skew commutative variable(s)
i16 : describe E

o16 = kk[a..e, Degrees => {2:{1}, 3:{0}}, Heft => {2:1}, MonomialOrder => {MonomialSize => 32}, SkewCommutative => {0..4}]
                             {0}    {1}                                   {GRevLex => {2:1}  }
                                                                          {Position => Up    }
                                                                          {GRevLex => {3:1}  }
i17 : c * a

o17 = -a*c

o17 : E

Similarly, tensoring two Weyl algebras (or one and a polynomial ring) produces a Weyl algebra with both sets of non-commuting pairs.

i18 : E = kk[x, Dx, WeylAlgebra => {x => Dx}]

o18 = E

o18 : PolynomialRing, 1 differential variable(s)
i19 : tensor(E, E, Variables => {x, Dx, y, Dy})

o19 = kk[x, Dx, y, Dy]

o19 : PolynomialRing, 2 differential variable(s)
i20 : describe oo

o20 = kk[x, Dx, y, Dy, Degrees => {2:{1}, 2:{0}}, Heft => {2:1}, MonomialOrder => {MonomialSize => 32}, WeylAlgebra => {{x, Dx}, {y, Dy}}]
                                     {0}    {1}                                   {GRevLex => {2:1}  }
                                                                                  {Position => Up    }
                                                                                  {GRevLex => {2:1}  }

Two polynomial rings must have the same coefficient ring, otherwise an error is issued. Currently, there is no way to specify other rings over which to define the tensor product.

i21 : A = ZZ/101[a, b]

o21 = A

o21 : PolynomialRing
i22 : B = A[x, y]

o22 = B

o22 : PolynomialRing
i23 : C = tensor(B, B, Variables => {x1, y1, x2, y2})

o23 = C

o23 : PolynomialRing
i24 : describe C

o24 = A[x1, y1, x2, y2, Degrees => {2:{1}, 2:{0}}, Heft => {2:1}, MonomialOrder => {MonomialSize => 32}]
                                      {0}    {1}                                   {GRevLex => {2:1}  }
                                                                                   {Position => Up    }
                                                                                   {GRevLex => {2:1}  }

The flat monoid with the all variables visible, including those from the base ring, can be obtained as follows.

i25 : C.FlatMonoid

o25 = monoid[x1, y1, x2, y2, a..b, Degrees => {2:{1}, 2:{0}, 2:{0}}, Heft => {3:1}, MonomialOrder => {MonomialSize => 32   }]
                                                 {0}    {1}    {0}                                   {GRevLex => {2:1}     }
                                                 {0}    {0}    {1}                                   {Position => Up       }
                                                                                                     {2:(GRevLex => {1, 1})}

o25 : GeneralOrderedMonoid

Caveat

Not all of the options for monoid are useful here. Some are silently ignored.

See also

Ways to use this method: