Consider a spiked random tensor obtained as mixture of two components: noise in the form symmetric Gaussian $p$-tensor for $p\geq 3$ and signal low-rank tensor. The latter is defined linear combination $k$ independent rank-one tensors, referred to spikes, with weights signal-to-noise ratios (SNRs). entries vectors that determine spikes are i.i.d. sampled from general probability distributions s...

Recently we generalized the max algebra system to the class of nonnegative  tensors. In this paper we give some basic properties for the left (right) inverse, under the new system. The existence of order 2 left (right) inverse of tensors is characterized. Also we generalize the direct product of matrices to the direct product of tensors (of the same order, but may be different dimensions) and i...

A two step method has been devised for the statistical inference of deformation changes. In the first step of this method and based on Procrustes analysis of deformation tensors, the significance of the change in a time or space series of deformation tensors is statistically analyzed. In the second step significant change(s) in deformations are localized. In other words, they are assigned to ce...

The permutation transformation of tensors is introduced and its basic properties are discussed. The invariance under permutation transformations is studied for some important structure tensors such as symmetric tensors, positive definite (positive semidefinite) tensors, Z-tensors, M-tensors, Hankel tensors, P-tensors, B-tensors and H-tensors. Finally, as an application of permutation transforma...

The energy equation for turbulent flow of fiber suspensions was derived in terms of second order correlation tensors. Fiber motion of turbulent energy including the correlation between pressure fluctuations and velocity fluctuations was discussed at two points of flow field, at which the correlation tensors were the functions of space coordinates, distance between two points, and time.

High- and multi-dimensional array data are becoming increasingly available. They admit a natural representation as tensors call for appropriate statistical tools. We propose new linear autoregressive tensor process (ART) tensor-valued data, that encompasses some well-known time series models special cases. study its properties derive the associated impulse response function. exploit PARAFAC low...

This paper shows the best operators for sumof-products expressions. We first describe conditions of functions for product and sum operations. We examine all two-variable functions and select those that meet the conditions and then evaluate the number of product terms needed in the minimum sum-of-products expressions when each combination of selected product and sum functions is used. As a resul...