SIAM Journal on Matrix Analysis and Applications · 2006 · 425 citations · 36 references
Natural SciencesMathematicsAlgebraRepresentation TheorySeparation Of PowersDimension ReductionDimensionality ReductionLinear AlgebraMatrix ComputationMatrix FactorizationMatrix StructureDecomposition TheoryFinite DimensionalityMultilinear AlgebraTensor DecompositionsTensor FactorizationTensor ProductsUniqueness RequirementUniqueness Theorems
Canonical decomposition is a key concept in multilinear algebra. In this paper we consider the decomposition of higher‐order tensors which have the property that the rank is smaller than the greatest dimension. We derive a new and relatively weak deterministic sufficient condition for uniqueness. The proof is constructive. It shows that the canonical components can be obtained from a simultaneous matrix diagonalization by congruence, yielding a new algorithm. From the deterministic condition we derive an easy‐to‐check dimensionality condition that guarantees generic uniqueness.
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