Regrouping finite tensor powers #
An iterated tensor power with finite outer index can be flattened to the tensor power indexed by the product of the two index types. The characteristic equation on tensors of pure tensors fixes this equivalence and makes it compatible with factorwise linear maps.
This regrouping is used for transitivity of tensor induction. It is the constant-fibre case of
the dependent-sum regrouping PiTensorProduct.sigmaEquiv, transported along
Equiv.sigmaEquivProd. Finiteness of the outer index permits expansion of tensors of sums in the
inner tensor powers; the inner index need not be finite.
Flatten an iterated tensor power along a finite outer index to the tensor power indexed by the product. The inner index can be arbitrary.
Instances For
Product regrouping is dependent-sum regrouping followed by reindexing.
Flattening a tensor of pure tensors concatenates the two index coordinates.
The inverse regrouping forms the inner tensor in each outer coordinate.
Flattening commutes with applying a chosen linear map in each tensor factor.
A scalar-valued evaluator computes the four entries of a reshaped tensor.