コード例 #1
0
    def _yang_baxter_graph(self):
        r"""
        Construct and cache the underlying Yang-Baxter graph.

        EXAMPLES::

            sage: rho = SymmetricGroupRepresentation([3,2], 'specht')
            sage: rho._yang_baxter_graph
            Yang-Baxter graph of [3, 2], with top vertex (1, 0, 2, 1, 0)
        """
        return YangBaxterGraph_partition(self._partition)
コード例 #2
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    def _yang_baxter_graph(self):
        r"""
        Return the Yang-Baxter graph associated with the representation,
        with vertices labelled by the vector of contents of the partition.

        EXAMPLES::

            sage: orth = SymmetricGroupRepresentation([3,2], "orthogonal")
            sage: orth._yang_baxter_graph
            Yang-Baxter graph of [3, 2], with top vertex (0, -1, 2, 1, 0)
        """
        Y = YangBaxterGraph_partition(self._partition)
        n = self._partition.size()
        # relabel vertices with "vector of contents"
        Y.relabel_vertices(\
            partition_to_vector_of_contents(self._partition, reverse=True))
        # relabel edges with "differences"
        edge_relabel_dict = {}
        for (u, v, op) in Y.edges():
            i = op.position() + 1
            edge_relabel_dict[u, v] = (n - i, QQ((1, u[i] - u[i - 1])))
        Y.relabel_edges(edge_relabel_dict)
        return Y
コード例 #3
0
    def _yang_baxter_graph(self):
        r"""
        Return the Yang-Baxter graph associated with the representation,
        with vertices labelled by the vector of contents of the partition.

        EXAMPLES::

            sage: orth = SymmetricGroupRepresentation([3,2], "orthogonal")
            sage: orth._yang_baxter_graph
            Yang-Baxter graph of [3, 2], with top vertex (0, -1, 2, 1, 0)
        """
        Y = YangBaxterGraph_partition(self._partition)
        n = self._partition.size()
        # relabel vertices with "vector of contents"
        Y.relabel_vertices(partition_to_vector_of_contents(self._partition, reverse=True))
        # relabel edges with "differences"
        edge_relabel_dict = {}
        for (u, v, op) in Y.edges():
            i = op.position() + 1
            edge_relabel_dict[u, v] = (n - i, QQ((1, u[i] - u[i - 1])))
        Y.relabel_edges(edge_relabel_dict)
        return Y