Moore–Penrose inverse of an invertible infinite matrix

In this article we show that, contrary to finite matrices (with real or complex entries) an invertible infinite matrix V could have a Moore–Penrose inverse that is not a classical inverse of V. This also answers a recent open problem on infinite matrices.     

Weighted core–EP inverse of an operator between Hilbert spaces

We introduce and study the weighted core–EP inverse of an operator between two Hilbert spaces as a generalization of the weighted core–EP inverse for a rectangular matrix. Several new properties of weighted core–EP inverses are given and some known results are extended. Using a weighted operator, the core–EP pre-order and the minus partial order of corresponding operators, we define new pre-orders on the set of all Wg–Drazin invertible operators between two Hilbert spaces. As consequences of our results, we present a new characterization and new representations of the core–EP inverse, new characterizations of the core–EP pre-order and extend the core–EP pre-order to a partial order.     

On an inverse problem to Frobenius’ theorem

Let G be a finite group and e a positive integer dividing |G|, the order of G. Denoting \({L_e(G)=\{x\in G|\,x^e=1\}}\) , Frobenius proved that |L _e (G)| = ke for a positive integer k ≥ 1. In this paper, we give a complete classification of finite groups G with |L _e (G)| ≤ 2e for every e dividing |G|.     

Ill-posedness versus ill-conditioning–an example from inverse option pricing

The article considers a problem of inverse option pricing aimed at the identification of a not directly observable time-dependent volatility function from maturity-dependent option prices. In this situation, an important aspect is the calibration of the antiderivative of the squared volatility. This inverse problem leads to an operator equation with a forward operator of Nemytskii type generated by a monotone function of two variables. In recent literature, an analysis of this forward operator and several numerical case studies have been conducted which revealed certain instability effects. This article supplements these results by studying the nature of these instabilities. In this context, the focus is on the question whether the problem is well-posed or ill-posed, i.e. whether the inverse operator is continuous or not continuous in suitable Banach spaces.

As the mentioned instabilities result in strongly oscillating approximate solutions, we finish by presenting a numerically effective algorithm which uses a priori information about the monotonicity of the searched antiderivative to compute a smooth approximate solution.     

On spline approximation of sliced inverse regression

The dimension reduction is helpful and often necessary in exploring the nonparametric regression structure.In this area,Sliced inverse regression (SIR) is a promising tool to estimate the central dimension reduction (CDR) space.To estimate the kernel matrix of the SIR,we herein suggest the spline approximation using the least squares regression.The heteroscedasticity can be incorporated well by introducing an appropriate weight function.The root-n asymptotic normality can be achieved for a wide range choice of knots.This is essentially analogous to the kernel estimation.Moreover, we also propose a modified Bayes information criterion (BIC) based on the eigenvalues of the SIR matrix.This modified BIC can be applied to any form of the SIR and other related methods.The methodology and some of the practical issues are illustrated through the horse mussel data.Empirical studies evidence the performance of our proposed spline approximation by comparison of the existing estimators.     

Uniqueness and stability in an inverse problem for a Poisson's equation

Consider the Poisson's equation(?)″(x)=-e~(v-(?)) e~((?)-v)-N(x)with the Diriehlet boundary data,and we mainly investigate the inverse problem of determining the unknown function N(x)from a parameter function family.Some uniqueness and stability results in the inverse problem are obtained.     

Re-formulation of inverse Gaussian,reciprocal inverse Gaussian,and Birnbaum–Saunders kernel estimators

We reveal the boundary bias problem of Birnbaum–Saunders, inverse Gaussian, and reciprocal inverse Gaussian kernel estimators (Jin and Kawczak, 2003, Scaillet, 2004) and re-formulate these estimators to solve the problem. We investigate asymptotic properties of a new class of asymmetric kernel estimators.     

Modified constructions of binary sequences using multiplicative inverse

Two new families of finite binary sequences are constructed using multiplicative inverse. The sequences are shown to have strong pseudorandom properties by using some estimates of certain exponential sums over finite fields. The constructions can be implemented fast since multiplicative inverse over finite fields can be computed in polynomial time.     

On an Extension of an Theorem of Hayman

Hayman proved the following Theorem A Let φ=f'-αf~n, α≠0,α∈C,1 ) If f be transcendental meromorphic and n≥5, then φ assune all finite valuesand infinitely often.2 ) If f be transcendental integral and n≥3, then φ assume all finite values andinfinitely often.     

On the Characterization of a Class of π—inverse Semigroups

51.PreliminatriesS.Bogdanovicgaveacharacterizationforstronglyrr-inversesemigroupsinLlJ.TheclassofrightinversesemigroupsisinvestigatedbyP.S-Venkatesanin[2j.Inthispaper,thenotionofstronglyrightff-inversesemigroupsisintroduced.Characteri-zationofthisclassofsemigroupsobtained-Definition1.1[1jAff-regularsemigroupsissaidtobeK-orthodoxifE,,thesetofidem-potentsinS,isasubsemigroupofS.Definition1.2[1jAK-regularsemigroupsiscalledstronglyK-inverseifef=feforev-erye,feE,.Definition1.3Aff-regularsemi…     

Lipschitz stability in an inverse problem for the Kuramoto–Sivashinsky equation

In this article, we present an inverse problem for the nonlinear 1D Kuramoto–Sivashinsky (KS) equation. More precisely, we study the nonlinear inverse problem of retrieving the anti-diffusion coefficient from the measurements of the solution on a part of the boundary and also at some positive time in the whole space domain. The Lipschitz stability for this inverse problem is our main result and it relies on the Bukhge?m–Klibanov method. The proof is indeed based on a global Carleman estimate for the linearized KS equation.     

A new method of solving the coefficient inverse problem

This paper is concerned with the new method for solving the coefficient inverse problem in the reproducing kernel space. It is different from the previous studies. This method gives accurate results and shows that it is valid by the numerical example.     

Regularity of the inverse of a homeomorphism of a Sobolev–Orlicz space

Given a homeomorphism ? ∈ W _M ¹ , we determine the conditions that guarantee the belonging of the inverse of ? in some Sobolev–Orlicz space W _F ¹ . We also obtain necessary and sufficient conditions under which a homeomorphism of domains in a Euclidean space induces the bounded composition operator of Sobolev–Orlicz spaces defined by a special class of N-functions. Using these results, we establish requirements on a mapping under which the inverse homeomorphism also induces the bounded composition operator of another pair of Sobolev–Orlicz spaces which is defined by the first pair.     

The Moore–Penrose inverse of block magic rectangles

As is known, a semi-magic square is an n?×?n matrix having the sum of entries in each row and each column equal to a constant. This note generalizes this notion and introduce a special class of block matrices called block magic rectangles. It is proved that the Moore–Penrose inverse of a block magic rectangle is also a block magic rectangle.