Separability of a tensor

ID: separability-of-a-tensor

In a two-factor tensor product over a field, a pure tensor is also called a separable or decomposable tensor: it can be expressed as one product . Every tensor is a finite sum of pure tensors, but a sum need not itself be a pure tensor.[ref]
For finite-dimensional vector spaces, the tensor-product coefficient matrix gives a decisive test: a nonzero tensor is a pure tensor exactly when its matrix rank is one. Indeed, every column of is a scalar multiple of . Conversely, if all columns of a nonzero matrix are multiples of one nonzero column , collect their multipliers in to obtain . The zero tensor is also a pure tensor, for example , but its matrix rank is zero.
In , the tensor
is nonseparable: its matrix rank is two and its determinant is one, whereas . Directly, trying requires and . The first two equations force all four scalars nonzero, contradicting the others. In contrast, products sharing a factor do combine: . Thus being written as two summands alone does not establish nonseparability.

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