14.20 Tensor Map Product Verification Procedure
The Tensor Map Product Verification Procedure ensures the validity of tensor map operations through structured algebraic checks and consistency validation.
Tensor Map Product Verification Procedure is the systematic sequence of checks used to confirm that a given linear map between two tensor product spaces is genuinely equal to the tensor product map of two specified linear maps, rather than merely resembling it, by reducing the verification to a finite check on simple tensors or on a single basis.
Why Verification Is Needed
The Gap Between a Formula and a Proof
A candidate map , produced for instance from a component formula or from an ad hoc construction, is not automatically the tensor product of and just because it looks similar; equality of linear maps on the entire space must be established, and the verification procedure exists because checking this directly, element by element, is neither necessary nor practical.
The Reduction Principle Underlying the Procedure
The procedure exploits the fact that is spanned by simple tensors, and that a linear map is entirely determined by its values on any spanning set; consequently, verifying agreement on a spanning set, rather than on every element, suffices to establish equality of two linear maps everywhere.
The Verification Procedure
Step One: Confirm Linearity of the Candidate
Before any comparison is meaningful, confirm that is itself linear, since the tensor product map is defined only as a linear map and any comparison to a non-linear candidate is not applicable.
Step Two: Check Agreement on Simple Tensors
Verify that
holds for every simple tensor , with ranging over all of and over all of , not merely over a chosen basis at this stage.
Step Three: Invoke the Spanning Property
Since simple tensors span , and two linear maps that agree on a spanning set agree everywhere, agreement on all simple tensors, established in step two, already implies as maps on the whole space; no further check on general linear combinations is logically required, though it may still be performed as a consistency check.
A Sharper Reduction Using a Basis
Reducing Further to Basis Input Elements
Because a basis for can be built from basis input elements , and a basis is in particular a spanning set, step two can be replaced by the finitely many checks
for the pairs , which is a strictly finite verification whenever and are finite-dimensional, in contrast with the uncountably many simple tensors checked in step two.
Why the Finite Check Is Equally Valid
This reduction is valid because linearity of both and of the map extends agreement on the finite basis input elements to agreement on all simple tensors by bilinearity, and thence to all of by the spanning property, so the finite check and the check over all simple tensors are logically equivalent.
Common Pitfalls the Procedure Guards Against
Checking Only a Proper Subset of Basis Input Elements
Verifying the formula on some, but not all, of the basis input elements does not establish equality, since the unchecked basis input elements could carry arbitrary discrepancies; the procedure requires the check to run over the complete set of pairs .
Confusing Agreement on Simple Tensors With Agreement of Formulas
A candidate map might agree with on every simple tensor while being described by a superficially different-looking formula; the procedure only certifies equality of the maps as functions, not similarity of the expressions used to define them, so two verified-equal maps may still admit very different-looking, but mathematically equivalent, formulas.
Neglecting to Check Linearity of the Candidate First
Skipping step one and proceeding directly to compare values on simple tensors can produce a false sense of verification if is not linear, since agreement on a spanning set only forces equality of linear maps; without confirmed linearity, agreement on simple tensors alone does not extend to the rest of .