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last edited 13 years ago by Bill Page |
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Editor: Bill Page
Time: 2011/02/16 15:11:54 GMT-8 |
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Note: references, indices, terminology and notation |
added: References - "Frobenius algebras and 2D topological quantum field theories":http://mat.uab.es/~kock/TQFT.html by Joachim Kock Especially "Tensor calculus (linear algebra in coordinates)" in section 2.3.31, page 123. See also: - http://ncatlab.org/nlab/show/Frobenius+algebra by John Baez, et al. - "Ideals, Varieties, and Algorithms":http://www.cs.amherst.edu/~dac/iva.html#MR5 by David A. Cox, et al. changed: -$Y=\{ {y_k}^{ji} \ i,j,k =1,2, ... n \}$ -viewed as an operator with two inputs 'i,j' and one -output 'k'. For example in 2 dimensions $Y=\{ {y^k}_{ij} \ i,j,k =1,2, ... n \}$ viewed as an operator with two inputs $i,j$ and one output $k$. For example in 2 dimensions changed: - [[[script(y,[[k],[j,i]]) [[[script(y,[[i,j],[k]]) changed: -Given two vectors $P=\{ p_i \}$ and $Q=\{ q_j \}$ -\begin{axiom} -P:T := unravel([script(p,[[i]]) for i in 1..n]) -Q:T := unravel([script(q,[[i]]) for i in 1..n]) Given two vectors $P=\{ p^i \}$ and $Q=\{ q^j \}$ \begin{axiom} P:T := unravel([script(p,[[],[i]]) for i in 1..n]) Q:T := unravel([script(q,[[],[i]]) for i in 1..n]) changed: -yield a vector $R=\{ r_k = {y_k}^{ji} p_i q_j \}$ yield a vector $R=\{ r_k = {y^k}_{ij} p^i q^j \}$ changed: - Q P - 2j 3i - \ / - | - 1k - R P Q Y R or more explicitly Pi Qj \/ \ Rk changed: -An algebra $Y$ is commutative if the tensor -$\Pi = \{ {\pi_k}^{ji} = {y_k}^{ji}-{y^k}^{ij} \}$ -(the commutator) is zero:: - - Y - X - Y - -\begin{axiom} -XY:=Y-reindex(Y,[1,3,2]) An algebra is said to be *associative* if:: Y = Y Y Y **Note:** the right hand side of the equation above is implicitly the mirror image of the left hand side:: i j k i j k i j k \ | / \/ / \ \/ \ | / \ / \ / \|/ = e k - i e | \/ \/ | \ / l l l This requires that the following (3,1)-tensor \begin{equation} \Psi = \{ {\psi_l}^{ijk} = {y^e}_{ij} {y^l}_{ek} - {y^l}_{ie} {y^e}_{jk} \} \end{equation} (associator) is zero. \begin{axiom} YY := reindex(reindex(Y,[1,3,2])*reindex(Y,[1,3,2]),[1,4,3,2])-Y*Y; ravel(YY) \end{axiom} The algebra $Y$ is *commutative* if:: Y = Y i j i j j i \ / = \/ - \/ | \ / k k k This requires that the following (2,1)-tensor \begin{equation} \mathcal{C} = \{ {c^k}_{ij} = {y^k}_{ij} - {y^k}_{ji} \} \end{equation} (commutator) is zero. \begin{axiom} YC:=Y-reindex(Y,[1,3,2]) changed: -groebner(ravel(XY)) -\end{axiom} -The algebra 'Y' is anti-commutative if the tensor -$\Xi = \{ {\xi_k}^{ji} = {y_k}^{ji}+{y^k}^{ij} \}$ -(the anti-commutator) is zero:: - - Y + X - Y - -\begin{axiom} -XX:=Y+reindex(Y,[1,3,2]) groebner(ravel(YC)) \end{axiom} The algebra $Y$ is *anti-commutative* if:: Y = -Y i j i j j i \ / = \/ = \/ | \ / k k k This requires that the following (2,1)-tensor \begin{equation} \mathcal{A} = \{ {a^k}_{ij} = {y^k}_{ij} + {y^k}_{ji} \} \end{equation} (anti-commutator) is zero. \begin{axiom} YA:=Y+reindex(Y,[1,3,2]) changed: -anti-commutator is given by: -\begin{axiom} -groebner(ravel(XX)) -\end{axiom} -An algebra is associative if:: - - Y = Y - Y Y - - Note: right figure is mirror image of left! - - 2 3 6 2 5 6 2 3 4 - \/ / \ \/ \ | / - \/ = \/ = \|/ - \ / | - 4 1 1 - -In other words an algebra is associative if and only -if the following (3,1)-tensor -$\Psi = \{ {\psi_s}^{kji} = {y_s}^{kr} {y_r}^{ji} - {y_s}^{ri} {y_r}^{kj} \}$ commutator is given by: \begin{axiom} groebner(ravel(YA)) \end{axiom} 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 \begin{equation} \Theta = \{ {\theta^l}_{ijk} = {y^l}_{ek} {y^e}_{ij} - {y^l}_{ie} {y^e}_{jk} - {y^l}_{ej} {y^e}_{ik} \} \end{equation} changed: -\begin{axiom} -YY := reindex(reindex(Y,[1,3,2])*reindex(Y,[1,3,2]),[1,4,3,2])-Y*Y; ravel(YY) -\end{axiom} - -The Jacobi identity requires the following (3,1)-tensor -$\Phi = \{ {\phi_s}^{kji} = {y_s}^{kr} {y_r}^{ji} - {y_s}^{ri} {y_r}^{kj} - {y_s}^{ri} {y_r}^{jk} \}$ -to be zero:: - - Y - Y - X - Y Y Y - Y - - 2 3 6 2 5 6 2 6 3 - \ / / \ \ / \ \/ - \/ / \ \/ \/\ - \/ - \/ - \/ - \ / \ - 4 1 4 - -\begin{axiom} -YYX := YY - reindex(contract(Y,1,Y,2),[3,1,4,2]); ravel(YYX) \begin{axiom} YX := YY - reindex(contract(Y,1,Y,2),[3,1,4,2]); ravel(YX) changed: -$U = \{ u^{ij} \}$ $U = \{ u_{ij} \}$ changed: - We say that the scalar product is "associative" if the tensor We say that the scalar product is *associative* if the tensor changed: - In other words, if the following tensor is zero - $ \Omega = \{ \omega^{kji} = {Y_r}^{kj} U^{ri} - U^{kr} {Y_r}^{ji} \} $ In other words, if the (3,0)-tensor:: i j k i j k i j k \ | / \/ / \ \/ \|/ = \ / - \ / 0 0 0 \begin{equation} \Phi = \{ \phi^{ijk} = {y^e}_{ij} u_{ek} - u_{ie} {y_e}^{jk} \} \end{equation} (three-point function) is zero. changed: - An algebra with a non-degenerate associative scalar product is - called ''pre-Frobenius''. An algebra with a non-degenerate associative scalar product is called *pre-Frobenius*. changed: -and look for all associative scalar products 'U = U(Y)' or we and look for all associative scalar products $U = U(Y)$ or we changed: -algebras Y=Y(U) such that the scalar product is associative. algebras $Y=Y(U)$ such that the scalar product is associative. changed: -into coefficients of the tensor $\Omega$. We are looking for into coefficients of the tensor $\Phi$. We are looking for changed: -tensor $Y$ into $\Omega=0$ for any $Y$. tensor $Y$ into $\Phi=0$ for any $Y$. changed: - The scalar product of all 2-dimensional pre-Frobenius - algebras is symmetric. All 2-dimensional pre-Frobenius algebras are symmetric. changed: -Kd:DMP(concat map(variables,ravel(U)),FRAC INT) := factor determinant(K) Kd := factor(determinant(K)::DMP(concat map(variables,ravel(U)),FRAC INT)) changed: - All 2-dimensional algebras with associative scalar product are symmetric. All 2-dimensional algebras with associative scalar product are commutative. changed: -YUS:T := unravel(map(x+->subst(x,U[2,1]=U[1,2]),ravel YU)) YUS:T := reindex(reindex(US,[2,1])*reindex(Y,[1,3,2]),[3,2,1])-US*Y changed: -This is a 4-parameter family of 2-d pre-Frobenius algebras with -a given admissible (i.e. symmetric) scalar product. -\begin{axiom} -UASS:T := unravel(map(x+->subst(x,SS),ravel YUS)) -\end{axiom} - This defines a 4-parameter family of 2-d pre-Frobenius algebras \begin{axiom} test(unravel(map(x+->subst(x,SS),ravel YUS))$T=0*YU) \end{axiom} Alternatively we may consider changed: -into coefficients of the tensor $\Omega$. We are looking for into coefficients of the tensor $\Phi$. We are looking for changed: -tensor $U$ into $\Omega=0$ for any $U$. tensor $U$ into $\Phi=0$ for any $U$. changed: - A 2-d algebra is pre-Frobenius if it is associative, - commutative, anti-commutative or if it satisfies the - Jacobi identity. If a 2-d algebra is associative, commutative, anti-commutative or if it satisfies the Jacobi identity then it is a pre-Frobenius algebra. changed: -in?(JP,ideal ravel XY) -- commutative -in?(JP,ideal ravel XX) -- anti-commutative -in?(JP,ideal ravel YYX) -- Jacobi identity -\end{axiom} in?(JP,ideal ravel YC) -- commutative in?(JP,ideal ravel YA) -- anti-commutative in?(JP,ideal ravel YX) -- Jacobi identity \end{axiom}
References
Especially "Tensor calculus (linear algebra in coordinates)" in section 2.3.31, page 123.
See also:
An n-dimensional algebra is represented by a (2,1)-tensor viewed as an operator with two inputs and one output . For example in 2 dimensions
n:=2
(1) |
T:=CartesianTensor(1,n, FRAC POLY INT)
(2) |
Y:T := unravel(concat concat [[[script(y,[[i, j], [k]]) for i in 1..n] for j in 1..n] for k in 1..n] )
(3) |
Given two vectors and
P:T := unravel([script(p,[[], [i]]) for i in 1..n])
(4) |
Q:T := unravel([script(q,[[], [i]]) for i in 1..n])
(5) |
the tensor operates on their tensor product to yield a vector
R:=contract(contract(Y,3, product(P, Q), 1), 2, 3)
(6) |
Pictorially:
P Q Y R or more explicitly Pi Qj \/ \ Rk
In Axiom we may use the more convenient tensor inner
product denoted by *
that combines tensor product with
a contraction on the last index of the first tensor and
the first index of the second tensor.
R:=(Y*P)*Q
(7) |
An algebra is said to be associative if:
Y = Y Y Y
Note: the right hand side of the equation above is implicitly the mirror image of the left hand side:
i j k i j k i j k \ | / \/ / \ \/ \ | / \ / \ / \|/ = e k - i e | \/ \/ | \ / l l l
This requires that the following (3,1)-tensor
(8) |
YY := reindex(reindex(Y,[1, 3, 2])*reindex(Y, [1, 3, 2]), [1, 4, 3, 2])-Y*Y; ravel(YY)
(9) |
The algebra is commutative if:
Y = Y i j i j j i \ / = \/ - \/ | \ / k k k
This requires that the following (2,1)-tensor
(10) |
YC:=Y-reindex(Y,[1, 3, 2])
(11) |
A basis for the ideal defined by the coefficients of the commutator is given by:
groebner(ravel(YC))
(12) |
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
(13) |
YA:=Y+reindex(Y,[1, 3, 2])
(14) |
A basis for the ideal defined by the coefficients of the commutator is given by:
groebner(ravel(YA))
(15) |
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
(16) |
YX := YY - reindex(contract(Y,1, Y, 2), [3, 1, 4, 2]); ravel(YX)
(17) |
A scalar product is denoted by the (2,0)-tensor
U:T := unravel(concat [[script(u,[[], [j, i]]) for i in 1..n] for j in 1..n] )
(18) |
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
(19) |
YU := reindex(reindex(U,[2, 1])*reindex(Y, [1, 3, 2]), [3, 2, 1])-U*Y
(20) |
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.
)expose MCALCFN
MultiVariableCalculusFunctions is now explicitly exposed in frame initial K := jacobian(ravel(YU),concat(map(variables, ravel(Y)))::List Symbol);
yy := transpose matrix [concat(map(variables,ravel(Y)))::List Symbol];
K::OutputForm * yy::OutputForm = 0
(21) |
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.
All 2-dimensional pre-Frobenius algebras are symmetric.
Proof: Consider the determinant of the matrix K
above.
Kd := factor(determinant(K)::DMP(concat map(variables,ravel(U)), FRAC INT))
(22) |
The scalar product must also be non-degenerate
Ud:DMP(concat map(variables,ravel(U)), FRAC INT) := determinant [[U[i, j] for j in 1..n] for i in 1..n]
(23) |
therefore U must be symmetric.
nthFactor(Kd,1)
(24) |
US:T := unravel(map(x+->subst(x,U[2, 1]=U[1, 2]), ravel U))
(25) |
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
YUS:T := reindex(reindex(US,[2, 1])*reindex(Y, [1, 3, 2]), [3, 2, 1])-US*Y
(26) |
KS := jacobian(ravel(YUS),concat(map(variables, ravel(Y)))::List Symbol);
NS:=nullSpace(KS)
(27) |
SS:=map((x,y)+->x=y, concat map(variables, ravel Y), entries reduce(+, [p[i]*NS.i for i in 1..#NS]))
(28) |
YS:T := unravel(map(x+->subst(x,SS), ravel Y))
(29) |
This defines a 4-parameter family of 2-d pre-Frobenius algebras
test(unravel(map(x+->subst(x,SS), ravel YUS))$T=0*YU)
(30) |
Alternatively we may consider
J := jacobian(ravel(YU),concat(map(variables, ravel(U)))::List Symbol);
uu := transpose matrix [concat(map(variables,ravel(U)))::List Symbol];
J::OutputForm * uu::OutputForm = 0
(31) |
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.
JP:=ideal concat concat concat [[[[ determinant( matrix([row(J,i1), row(J, i2), row(J, i3), row(J, i4)])) 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) ];
#generators(%)
(32) |
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
in?(JP,ideal ravel YY) -- associative
(33) |
in?(JP,ideal ravel YC) -- commutative
(34) |
in?(JP,ideal ravel YA) -- anti-commutative
(35) |
in?(JP,ideal ravel YX) -- Jacobi identity
(36) |