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Intuitive derivation of loop inverses and array algebra
Authors:Urho A Rauhala
Institution:(1) Geodetic Services, Inc., P.O. Box 3668, 32903 Indialantic, Florida
Abstract:Array algebra forms the general base of fast transforms and multilinear algebra making rigorous solutions of a large number (millions) of parameters computationally feasible. Loop inverses are operators solving the problem of general matrix inverses. Their derivation starts from the inconsistent linear equations 
$$\mathop A\limits_{m n} \mathop X\limits_{n ,1}  \ne \mathop L\limits_{m ,1} $$
by a parameter exchangeXL 0, where 
$$\mathop {L_0 }\limits_{p , 1}  = \mathop {A_0 }\limits_{p n} \mathop X\limits_{n , 1} $$
X is a set of unknown observables,A 0 forming a basis of the so called “problem space”. The resulting full rank design matrix of parameters L0 and its ℓ-inverse reveal properties speeding the computational least squares solution 
$$\mathop {\hat L_0 }\limits_{p , 1} $$
expressed in observed values 
$$\mathop L\limits_{m , 1} $$
. The loop inverses are found by the back substitution expressing ∧X in terms ofL through 
$$\hat L_0 $$
. Ifp=rank (A) ≤n, this chain operator creates the pseudoinverseA +. The idea of loop inverses and array algebra started in the late60's from the further specialized case,p=n=rank (A), where the loop inverse A 0 −1 (AA 0 −1 ) reduces into the ℓ-inverse A=(ATA)−1AT. The physical interpretation of the design matrixA A 0 −1 as an interpolator, associated with the parametersL 0, and the consideration of its multidimensional version has resulted in extended rules of matrix and tensor calculus and mathematical statistics called array algebra.
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