References
See also:
2-d Example
Use LinearOperator (LOP)
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(1) -> )lib CARTEN MONAL PROP LOP
CartesianTensor is now explicitly exposed in frame initial
CartesianTensor will be automatically loaded when needed from
/var/aw/var/LatexWiki/CARTEN.NRLIB/CARTEN
Monoidal is now explicitly exposed in frame initial
Monoidal will be automatically loaded when needed from
/var/aw/var/LatexWiki/MONAL.NRLIB/MONAL
Prop is now explicitly exposed in frame initial
Prop will be automatically loaded when needed from
/var/aw/var/LatexWiki/PROP.NRLIB/PROP
LinearOperator is now explicitly exposed in frame initial
LinearOperator will be automatically loaded when needed from
/var/aw/var/LatexWiki/LOP.NRLIB/LOP
L:=LOP(OVAR ['1,'2], EXPR INT)
Type: Type
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-- basis
dx:=basisIn()$L
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Dx:=basisOut()$L
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-- summation
macro Σ(f,b,i) == reduce(+,[f*b.i for i in 1..#b])
Type: Void
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-- identity
I:L:=[1]
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-- twist
X:L:=[2,1]
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-- co-evaluation
Λ:L:=co(1)
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-- evaluation
V:L:=ev(1)
Algebra
An n-dimensional algebra is represented by a (2,1)-tensor
viewed as a linear operator with two inputs and one
output . For example in 2 dimensions
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Y:=Σ(Σ(Σ(script(y,[[i,j],[k]]),dx,i),dx,j),Dx,k)
Multiplication
Given two vectors and
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P:=Σ(script(p,[[],[i]]),Dx,i)
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Q:=Σ(script(q,[[],[i]]),Dx,i)
the tensor operates on their tensor product to
yield a vector
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R:=(P,Q)/Y
Pictorially:
P Q
Y
R
or more explicitly
Pi Qj
\/
\
Rk
Associator
An algebra is said to be associative if:
Y = Y
Y Y
i j k i j k i j k
\ | / \/ / \ \/
\ | / \ / \ /
\|/ = e k - i e
| \/ \/
| \ /
l l l
This requires that the following (3,1)-tensor
(associator) is zero.
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YY := (Y,I)/Y - (I,Y)/Y
Commutator
The algebra is commutative if:
Y = Y
i j i j j i
\ / = \/ - \/
| \ /
k k k
This requires that the following (2,1)-tensor
(commutator) is zero.
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YC:=Y-(X/Y)
A basis for the ideal defined by the coefficients of the
commutator is given by:
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groebner(ravel(YC))
There are 2 exposed and 6 unexposed library operations named
groebner having 1 argument(s) but none was determined to be
applicable. Use HyperDoc Browse, or issue
)display op groebner
to learn more about the available operations. Perhaps
package-calling the operation or using coercions on the arguments
will allow you to apply the operation.
Cannot find a definition or applicable library operation named
groebner with argument type(s)
List(Expression(Integer))
Perhaps you should use "@" to indicate the required return type,
or "$" to specify which version of the function you need.
Anti-commutator
The algebra is anti-commutative if:
Y = -Y
i j i j j i
\ / = \/ = \/
| \ /
k k k
This requires that the following (2,1)-tensor
(anti-commutator) is zero.
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YA:=Y+(X/Y)
A basis for the ideal defined by the coefficients of the
commutator is given by:
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groebner(ravel(YA))
There are 2 exposed and 6 unexposed library operations named
groebner having 1 argument(s) but none was determined to be
applicable. Use HyperDoc Browse, or issue
)display op groebner
to learn more about the available operations. Perhaps
package-calling the operation or using coercions on the arguments
will allow you to apply the operation.
Cannot find a definition or applicable library operation named
groebner with argument type(s)
List(Expression(Integer))
Perhaps you should use "@" to indicate the required return type,
or "$" to specify which version of the function you need.
Jacobi
The Jacobi identity is:
X
Y = Y + Y
Y Y Y
i j k i j k i j k i j k
\ | / \ / / \ \ / \ \ /
\ | / \ / / \ \ / \ 0
\ | / \/ / \ \/ \/ \
\ | / \ / \ / \ \
\|/ = e k - i e - e j
| \/ \/ \/
| \ / /
l l l l
An algebra satisfies the Jacobi identity if and only if
the following (3,1)-tensor
is zero.
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YX := YY - (I,X)/(Y,I)/Y
Scalar Product
A scalar product is denoted by the (2,0)-tensor
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U:=Σ(Σ(script(u,[[],[i,j]]),dx,i),dx,j)
Definition 1
We say that the scalar product is associative if the tensor
equation holds:
Y = Y
U U
In other words, if the (3,0)-tensor:
i j k i j k i j k
\ | / \/ / \ \/
\|/ = \ / - \ /
0 0 0
(three-point function) is zero.
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YU := (Y,I)/U - (I,Y)/U
Definition 2
An algebra with a non-degenerate associative scalar product
is called pre-Frobenius.
We may consider the problem where multiplication Y is given,
and look for all associative scalar products or we
may consider an scalar product U as given, and look for all
algebras such that the scalar product is associative.
This problem can be solved using linear algebra.
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)expose MCALCFN
MultiVariableCalculusFunctions is now explicitly exposed in frame
initial
K := jacobian(ravel(YU),concat(map(variables,ravel(Y)))::List Symbol);
Type: Matrix(Expression(Integer))
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yy := transpose matrix [concat(map(variables,ravel(Y)))::List Symbol];
Type: Matrix(Polynomial(Integer))
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K::OutputForm * yy::OutputForm = 0
Type: Equation(OutputForm
?)
The matrix K
transforms the coefficients of the tensor
into coefficients of the tensor . We are looking for
coefficients of the tensor such that K
transforms the
tensor into for any .
A necessary condition for the equation to have a non-trivial
solution is that the matrix K
be degenerate.
Theorem 1
All 2-dimensional pre-Frobenius algebras are symmetric.
Proof: Consider the determinant of the matrix K
above.
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Kd := factor(determinant(K)::DMP(concat map(variables,ravel(U)),FRAC INT))
Type: Factored(DistributedMultivariatePolynomial
?([u[;1,
1],
u[;1,
2],
u[;2,
1],
u[;2,
2]],
Fraction(Integer)))
The scalar product must also be non-degenerate
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Ud:DMP(concat map(variables,ravel(U)),FRAC INT) := determinant [[retract((Dx.i,Dx.j)/U) for j in 1..#Dx] for i in 1..#Dx]
Type: DistributedMultivariatePolynomial
?([u[;1,
1],
u[;1,
2],
u[;2,
1],
u[;2,
2]],
Fraction(Integer))
therefore U must be symmetric.
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nthFactor(Kd,1)
There are no exposed library operations named nthFactor but there
are 3 unexposed operations with that name. Use HyperDoc Browse or
issue
)display op nthFactor
to learn more about the available operations.
Cannot find a definition or applicable library operation named
nthFactor with argument type(s)
Factored(DistributedMultivariatePolynomial([u[;1,1],u[;1,2],u[;2,1],u[;2,2]],Fraction(Integer)))
PositiveInteger
Perhaps you should use "@" to indicate the required return type,
or "$" to specify which version of the function you need.
Theorem 2
All 2-dimensional algebras with associative scalar product
are commutative.
Proof: The basis of the null space of the symmetric
K
matrix are all symmetric
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YUS := (I,Y)/US - (Y,I)/US
There are 15 exposed and 15 unexposed library operations named /
having 2 argument(s) but none was determined to be applicable.
Use HyperDoc Browse, or issue
)display op /
to learn more about the available operations. Perhaps
package-calling the operation or using coercions on the arguments
will allow you to apply the operation.
Cannot find a definition or applicable library operation named /
with argument type(s)
Tuple(LinearOperator(OrderedVariableList([1,2]),Expression(Integer)))
Variable(US)
Perhaps you should use "@" to indicate the required return type,
or "$" to specify which version of the function you need.
This defines a 4-parameter family of 2-d pre-Frobenius algebras
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test(eval(YUS,SS)=0*YUS)
There are 10 exposed and 6 unexposed library operations named eval
having 2 argument(s) but none was determined to be applicable.
Use HyperDoc Browse, or issue
)display op eval
to learn more about the available operations. Perhaps
package-calling the operation or using coercions on the arguments
will allow you to apply the operation.
Cannot find a definition or applicable library operation named eval
with argument type(s)
Variable(YUS)
Variable(SS)
Perhaps you should use "@" to indicate the required return type,
or "$" to specify which version of the function you need.
Alternatively we may consider
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J := jacobian(ravel(YU),concat(map(variables,ravel(U)))::List Symbol);
Type: Matrix(Expression(Integer))
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uu := transpose matrix [concat(map(variables,ravel(U)))::List Symbol];
Type: Matrix(Polynomial(Integer))
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J::OutputForm * uu::OutputForm = 0
Type: Equation(OutputForm
?)
The matrix J
transforms the coefficients of the tensor
into coefficients of the tensor . We are looking for
coefficients of the tensor such that J
transforms the
tensor into for any .
A necessary condition for the equation to have a non-trivial
solution is that all 70 of the 4x4 sub-matrices of J
are
degenerate. To this end we can form the polynomial ideal of
the determinants of these sub-matrices.
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JP:=ideal concat concat concat
[[[[ determinant(
matrix([row(J,i1),row(J,i2),row(J,i3),row(J,i4)]))::FRAC POLY INT
for i4 in (i3+1)..maxRowIndex(J) ]
for i3 in (i2+1)..(maxRowIndex(J)-1) ]
for i2 in (i1+1)..(maxRowIndex(J)-2) ]
for i1 in minRowIndex(J)..(maxRowIndex(J)-3) ];
Type: PolynomialIdeal
?(Fraction(Integer),
IndexedExponents
?(Symbol),
Symbol,
Polynomial(Fraction(Integer)))
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#generators(%)
Theorem 3
If a 2-d algebra is associative, commutative, anti-commutative
or if it satisfies the Jacobi identity then it is a
pre-Frobenius algebra.
Proof
Consider the ideals of the associator, commutator, anti-commutator
and Jacobi identity
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YYI:=ideal(ravel(YY)::List FRAC POLY INT);
Type: PolynomialIdeal
?(Fraction(Integer),
IndexedExponents
?(Symbol),
Symbol,
Polynomial(Fraction(Integer)))
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in?(JP,YYI) -- associative
Type: Boolean
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YCI:=ideal(ravel(YC)::List FRAC POLY INT);
Type: PolynomialIdeal
?(Fraction(Integer),
IndexedExponents
?(Symbol),
Symbol,
Polynomial(Fraction(Integer)))
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in?(JP,YCI) -- commutative
Type: Boolean
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YAI:=ideal(ravel(YA)::List FRAC POLY INT);
Type: PolynomialIdeal
?(Fraction(Integer),
IndexedExponents
?(Symbol),
Symbol,
Polynomial(Fraction(Integer)))
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in?(JP,YAI) -- anti-commutative
Type: Boolean
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YXI:=ideal(ravel(YX)::List FRAC POLY INT);
Type: PolynomialIdeal
?(Fraction(Integer),
IndexedExponents
?(Symbol),
Symbol,
Polynomial(Fraction(Integer)))
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in?(JP,YXI) -- Jacobi identity
Type: Boolean
Y-forms
Three traces of two graftings of an algebra gives six
(2,0)-forms.
Left snail and right snail:
LS RS
Y /\ /\ Y
Y ) ( Y
\/ \/
i j j i
\/ \/
\ /\ /\ /
e f \ / f e
\/ \ / \/
\ / \ /
f / \ f
\/ \/
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LS:=
( Y Λ )/ _
( Y I )/ _
V
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RS:=
( Λ Y )/ _
( I Y )/ _
V
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test(LS=RS)
Type: Boolean
Left and right deer:
RD LD
\ /\/ \/\ /
Y /\ /\ Y
Y ) ( Y
\/ \/
i j i j
\ /\ / \ /\ /
\ f \ / \ / f /
\/ \/ \/ \/
\ /\ /\ /
e / \ / \ e
\/ \ / \/
\ / \ /
f / \ f
\/ \/
Left and right deer forms are identical but different from snails.
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RD:=
( I Λ I ) / _
( Y X ) / _
( Y I ) / _
V
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LD:=
( I Λ I ) / _
( X Y ) / _
( I Y ) / _
V
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test(LD=RD)
Type: Boolean
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test(RD=RS)
Type: Boolean
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test(RD=LS)
Type: Boolean
Left and right turtles:
RT LT
/\ / / \ \ /\
( Y / \ Y )
\ Y Y /
\/ \/
i j i j
/\ / / \ \ /\
/ f / / \ \ f \
/ \/ / \ \/ \
\ \ / \ / /
\ e / \ e /
\ \/ \/ /
\ / \ /
\ f f /
\/ \/
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RT:=
( Λ I I ) / _
( I Y I ) / _
( I Y ) / _
V
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LT:=
( I I Λ ) / _
( I Y I ) / _
( Y I ) / _
V
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test(LT=RT)
Type: Boolean
The turles are symmetric
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test(RT = X/RT)
Type: Boolean
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test(LT = X/LT)
Type: Boolean
Five of the six forms are independent.
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test(RT=RS)
Type: Boolean
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test(RT=LS)
Type: Boolean
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test(RT=RD)
Type: Boolean
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test(LT=RS)
Type: Boolean
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test(LT=LS)
Type: Boolean
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test(LT=RD)
Type: Boolean
Associativity implies right turtle equals right snail
and left turtle equals left snail.
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in?(ideal(ravel(RT-RS)::List FRAC POLY INT),YYI)
Type: Boolean
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in?(ideal(ravel(LT-LS)::List FRAC POLY INT),YYI)
Type: Boolean
If the Jacobi identity holds then both snails are zero
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in?(ideal(ravel(RS)::List FRAC POLY INT),YXI)
Type: Boolean
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in?(ideal(ravel(LS)::List FRAC POLY INT),YXI)
Type: Boolean
and right turtle and deer have opposite signs
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in?(ideal(ravel(RT+RD)::List FRAC POLY INT),YXI)
Type: Boolean