On the Eigenfunctions of the Finite Hankel Transform (original) (raw)

The Finite Hankel Transform Operator: Some Explicit and Local Estimates of the Eigenfunctions and Eigenvalues Decay Rates

Journal of Fourier Analysis and Applications, 2017

For fixed real numbers c > 0, α > − 1 2 , the finite Hankel transform operator, denoted by H α c is given by the integral operator defined on L 2 (0, 1) with kernel K α (x, y) = √ cxyJ α (cxy). To the operator H α c , we associate a positive, self-adjoint compact integral operator Q α c = c H α c H α c. Note that the integral operators H α c and Q α c commute with a Sturm-Liouville differential operator D α c. In this paper, we first give some useful estimates and bounds of the eigenfunctions ϕ (α) n,c of H α c or Q α c. These estimates and bounds are obtained by using some special techniques from the theory of Sturm-Liouville operators, that we apply to the differential operator D α c. If (µ n,α (c)) n and λ n,α (c) = c |µ n,α (c)| 2 denote the infinite and countable sequence of the eigenvalues of the operators H (α) c and Q α c , arranged in the decreasing order of their magnitude, then we show an unexpected result that for a given integer n ≥ 0, λ n,α (c) is decreasing with respect to the parameter α. As a consequence, we show that for α ≥ 1 2 , the λ n,α (c) and the µ n,α (c) have a super-exponential decay rate. Also, we give a lower decay rate of these eigenvalues. As it will be seen, the previous results are essential tools for the analysis of a spectral approximation scheme based on the eigenfunctions of the finite Hankel transform operator. Some numerical examples will be provided to illustrate the results of this work.

Bounding Functions via N-th order Hankel Transform

2004

In this presentation we establish new bounds on functions, which have their n-th order Hankel Transform bandlimited. This class of functions is proved to be also Fourier Transform bandlimited. N-th order Hankel Transforms and the consequent bounds are important for the reconstruction in CAT, MRI (Magnetic Resonance Imaging) etc. Indeed many algorithms of modern tomography use the appropriate forms of Hankel Transform. For example, we may refer the Optimal Hankel Transform Reconstruction [1], the Rhombus Hankel Transform Reconstruction [5] etc. The new bounds, presented in this paper, simplifies the according Hankel Transform Reconstruction techniques. Actually a criterion based on these bounds can reject terms of the reconstruction with weak influence on image quality.

Theory and operational rules for the discrete Hankel transform

Journal of the Optical Society of America A, 2015

Previous definitions of a discrete Hankel transform (DHT) have focused on methods to approximate the continuous Hankel integral transform. In this paper, we propose and evaluate the theory of a DHT that is shown to arise from a discretization scheme based on the theory of Fourier–Bessel expansions. The proposed transform also possesses requisite orthogonality properties which lead to invertibility of the transform. The standard set of shift, modulation, multiplication, and convolution rules are derived. In addition to the theory of the actual manipulated quantities which stand in their own right, this DHT can be used to approximate the continuous forward and inverse Hankel transform in the same manner that the discrete Fourier transform is known to be able to approximate the continuous Fourier transform.

Spectral analysis of the finite Hankel transform and circular prolate spheroidal wave functions

Journal of Computational and Applied Mathematics, 2009

In this paper, we develop two practical methods for the computation of the eigenvalues as well as the eigenfunctions of the finite Hankel transform operator. These different eigenfunctions are called circular prolate spheroidal wave functions (CPSWFs). This work is motivated by the potential applications of the CPSWFs as well as the development of practical methods for computing their values. Also, in this work, we should prove that the CPSWFs form an orthonormal basis of the space of Hankel band-limited functions, an orthogonal basis of L 2 ([0, 1]) and an orthonormal system of L 2 ([0, +∞[). Our computation of the CPSWFs and their associated eigenvalues is done by the use of two different methods. The first method is based on a suitable matrix representation of the finite Hankel transform operator. The second method is based on the use of an efficient quadrature method based on a special family of orthogonal polynomials. Also, we give two Maple programs that implement the previous two methods. Finally, we present some numerical results that illustrate the results of this work.

On a generalized finite Hankel transform

Applied Mathematics and Computation, 2007

In the present work we introduce a finite integral transform involving combination of Bessel functions as kernel under prescribed conditions. The corresponding inversion formula and some properties of this transform have also been given. Three problems of heat conduction in an infinite, a semi-infinite and a finite circular cylinder bounded by given surfaces with radiation-type boundary value conditions have been solved by applying this transform.

An uncertainty principle for Hankel transforms

Proceedings of the American Mathematical Society, 1999

There exists a generalized Hankel transform of order α ≥ −1/2 on R, which is based on the eigenfunctions of the Dunkl operator Tαf (x) = f (x) + α + 1 2 f(x) − f(−x) x , f ∈ C 1 (R). For α = −1/2 this transform coincides with the usual Fourier transform on R. In this paper the operator Tα replaces the usual first derivative in order to obtain a sharp uncertainty principle for generalized Hankel transforms on R. It generalizes the classical Weyl-Heisenberg uncertainty principle for the position and momentum operators on L 2 (R); moreover, it implies a Weyl-Heisenberg inequality for the classical Hankel transform of arbitrary order α ≥ −1/2 on [0, ∞[.

Application of the generalized shift operator to the Hankel transform

SpringerPlus, 2014

It is well known that the Hankel transform possesses neither a shift-modulation nor a convolution-multiplication rule, both of which have found many uses when used with other integral transforms. In this paper, the generalized shift operator, as defined by Levitan, is applied to the Hankel transform. It is shown that under this generalized definition of shift, both convolution and shift theorems now apply to the Hankel transform. The operation of a generalized shift is compared to that of a simple shift via example.

On the zeros of basic finite Hankel transforms

Journal of Mathematical Analysis and Applications, 2006

In this article we prove that the basic finite Hankel transform whose kernel is the third-type Jackson q-Bessel function has only infinitely many real and simple zeros, provided that q satisfies a condition additional to the standard one. We also study the asymptotic behavior of the zeros. The obtained results are applied to investigate the zeros of q-Bessel functions as well as the zeros of q-trigonometric functions. A basic analog of a theorem of G. Pólya (1918) on the zeros of sine and cosine transformations is also given.

Laguerre projection method for finite Hankel transform of arbitrary order

Moscow University Computational Mathematics and Cybernetics, 2010

We propose a modification of the projection method for the problem of inverting finite Hankel transform of arbitrary order. In expanding the solution of an integral equation of the first kind, eigenfunctions corresponding to eigenvalues close to the multiple are replaced with Laguerre func tions. These functions are eigenfunctions of Hankel transform on the half line. Our test calculations demonstrated the effectiveness of the elaborated method.

Transformations preserving the Hankel transform

Journal of Integer Sequences, 2007

Given a sequence of integers {ai} = a0,a1,a2,..., the Hankel matrix of A is the infinite matrix whose (i, j) entry is ai+j for i ≥ 0,j ≥ 0. The Hankel matrix of order n of A is the n×n matrix consisting of the first n rows and n columns of the Hankel matrix of A, and the Hankel sequence ...

Uncertainty Principles for the Hankel-Gabor Transform

Indian Journal of Pure and Applied Mathematics, 2020

In this paper, we prove an analogue of a time-frequency localization theorem for orthonormal sequences in L_{{\mu _\alpha }}^2({\mathbb{R}_ + }).Asaconsequence,weobtainananalogueofShapiro’sUmbrellatheoremfortheHankel−GabortransformVg.WealsoproveameandispersioninequalityforVg.Finally,wegetastrongversionoftheuncertaintyinequalityfororthonormalsequencesof. As a consequence, we obtain an analogue of Shapiro’s Umbrella theorem for the Hankel-Gabor transform V g . We also prove a mean dispersion inequality for V g . Finally, we get a strong version of the uncertainty inequality for orthonormal sequences of.Asaconsequence,weobtainananalogueofShapirosUmbrellatheoremfortheHankelGabortransformVg.WealsoproveameandispersioninequalityforVg.Finally,wegetastrongversionoftheuncertaintyinequalityfororthonormalsequencesofL_{{\mu _\alpha }}^2({\mathbb{R}_ + })$$ .

Fast Hankel transform by fast sine and cosine transforms: the Mellin connection

IEEE Transactions on Signal Processing, 2000

The Hankel transform of a function by means of a direct Mellin approach requires sampling on an exponential grid, which has the disadvantage of coarsely undersampling the tail of the function. A novel modified Hankel transform procedure, not requiring exponential sampling, is presented. The algorithm proceeds via a three-step Mellin approach to yield a decomposition of the Hankel transform into a sine, a cosine and an inversion transform, which can be implemented by means of fast sine and cosine transforms.

Landauʼs necessary density conditions for the Hankel transform

Journal of Functional Analysis, 2012

We will prove an analogue of Landau's necessary conditions [Necessary density conditions for sampling and interpolation of certain entire functions, Acta Math. 117 (1967).] for spaces of functions whose Hankel transform is supported in a measurable subset S of the positive semi-axis. As a special case, necessary density conditions for the existence of Fourier-Bessel frames are obtained. In the course of our proof we obtain estimates for some eigenvalues which arise in Tracy and Widom work [Level spacing distributions and the Bessel kernel. Comm. Math. Phys. 161 (1994), no. 2, 289-309.].

Projection method for the Hankel transform

Integral Transforms and Special Functions, 2011

Аннотация Numerical projection method for the zero-order Hankel transform inversion for the case of the data given on a finite interval has been developed. The justification of the convergence of the projection method has been done for the general case that also includes the sine-Fourier transform inversion. An inequality on the norms of the zeroth order Laguerre functions has been proved. Efficiency of the method was illustrated with the test data and for the problem of cylindrical distribution function calculation using melt surface layer diffraction data.

On estimates for the first Hankel-Clifford transform

Montes Taurus Journal of Pure and Applied Mathematics, 2022

In this work, we obtain new inequalities for the first Hankel-Clifford transform in the space L 2 ((0, +∞), x µ), µ ≥ 0, using a generalized translation operator for proving these estimates in certain classes of functions characterized by a generalized continuity modulus.

On Generalized Fractional Hankel Transform

Namias [4] had defined fractionalization of conventional Hankel transform, using the method of eigen values and studied its properties. This paper studies the fractional generalization of generalized Hankel transform, which is the generalization of generalized Hankel transform given by Zemanian [5]. We simply referred it as fractional Hankel transform. First we introduce fractional Hankel transform in the generalized sense. Some properties of the Kernel are discussed and inversion formula for fractional Hankel transform is proved. Generalized operational relations are derived that can be used to solve certain classes of ordinary and partial differential equations. Lastly the values of fractional Hankel transform are obtained for some special functions.