Fractional S-Transform for Boehmians

Size: px
Start display at page:

Download "Fractional S-Transform for Boehmians"

Transcription

1 J. Ana. Num. Theor. 3, No., (015) 103 Journal of Analysis & Number Theory An International Journal Fractional S-Transform for Boehmians Abhishek Singh DST-Centre for Interdisciplinary Mathematical Sciences, Faculty of Science, Banaras Hindu University, Varanasi , India eceived: 7 Feb. 015, evised: 30 Mar. 015, Accepted: 31 Mar. 015 Published online: 1 Jul. 015 Abstract: In this paper we extend the results of ultradistributions for the fractional S-transform given by Singh [18] to the Boehmian spaces namely, tempered Boehmian and ultraboehmian spaces. Keywords: Fractional Fourier transform, fractional S-transform, S-transform, wavelet transform, ultradistributions, tempered distribution, tempered Boehmian, ultraboehmian. Subject Classifications: 46E15, 46E40, 46F1 1 Introduction In this section we give the definition and some basic properties of the S-transform. The S-transform was first introduced by Stockwell et al. [19] in 1996 as invertible time-frequency spectral localization technique. The S-transform is an extension to the ideas of continuous wavelet transform, and is based on a moving and scalable localizing Gaussian window and has characteristics superior to both of the Fourier transform and the wavelet transform [4, 0, 1]. The one-dimensional continuous S-transform of u(t) is defined as [0] (Su)(τ, f)s(u(t))(τ, f) u(t)ω(τ t, f)e iπ ft dt, (1) where the window ω is assumed to satisfy the following: ω(t, f)dt 1 for all f \{0}. () The most usual window ω is the Gaussian one ω(t, f) f k f t π e k, k>0, (3) where f is the frequency, t is the time variable, and k is a scaling factor that controls the number of oscillations in the window. Then, Equation (1) can be rewritten as a convolution (Su)(τ, f) ( u( )e iπ f ω(, f) ) (τ). (4) Applying the convolution property for the Fourier transform, we obtain (Su)(τ, f)f 1 {û( + f) ˆω(, f)}(τ), (5) where F 1 is the inverse Fourier transform. For the Gaussian window case (3), F{ω(t, f)}(α, f) ˆω(α, f)e (πkα/ f). (6) Thus we can write the S-transform in the following form: (Su)(τ, f) û(α+ f)e (πkα/ f) e iπατ dα. (7) Also, if û( f) and (Su)(τ, f) are the Fourier transform and S-transform of u respectively, then û( f) (Su)(τ, f)dτ, (8) so that ( ) u(t)f 1 (t). (9) (Su)(τ, )dτ Some basic properties of S-transform can be found in [16, 17]. Fractional Fourier transform The fractional Fourier transform(fft) has played an important role in signal processing. The a th order FFT Corresponding author mathdras@gmail.com

2 104 A. Singh: Fractional S-Transform for Boehmians of a signal u(t) is defined as [1]: Fu( a f) u(t)k a (t, f)dt, (10) where the transform kernel K a (t, f) is defined as A θ e iπ( f cotθ ft cscθ+t cotθ), if θ nπ K a (t, f) δ(t f), if θ nπ δ(t+ f), if θ+ π nπ, (11) where A θ 1 icotθ, θ aπ/, a [0,4), i is the complex unit, n is an integer, and f is the fractional Fourier frequency(fffr). The inverse FFT of equation (10) is : u(t) Fu a ( f)k a(t, f)d f. (1) We can write (10) as Fu( a f) u(t)a θ e iπ( f cotθ ft cscθ+t cotθ) dt A θ e iπ f cotθ u(t)e iπ ft cscθ e iπt cotθ dt A θ e iπ f cotθ [e iπt cotθ u(t)]( f cscθ). eplacing u(t) by e iπt cotθ φ(t), we have (13) F a u( f) A θ e iπ f cotθ [φ(t)]( f cscθ). (14) Put f ξ sinθ, we have F a u (ξ sin θ)a θ e iπξ sinθ/ ˆφ(ξ). (15) ˆφ(ξ) 1 e iπξ sinθ/ Fu a (ξ sinθ), (16) A θ where u(t)e iπt cotθ φ(t). 3 The fractional S-transform The fractional S-transform(FST) is a generalization of the S-transform. The a th order continuous fractional S-transform of u(t) is defined as [5]: FST a u (τ, f) where the window g is: u(t)g(τ t, f)k a (t, f)dt, (17) g(t, f) f cscθ p k π e t ( f cscθ)p /k ; k, p>0, (18) and satisfy the condition: g(t, f)dt 1 for all f \{0}. (19) Inverse fractional S-transform is defined by [ ] u(t) FSTu(τ, a f)dτ K a (t, f)d f. (0) Note that the fractional S-transform depends on a parameter θ and can be interpreted as a rotation by an angle θ in the time-frequency plane. An FST with θ π corresponds to the S-transform, and an FST with θ 0 corresponds to the zero operator. The parameters p and k can be used to adjust the window function space. Let and Since H a (τ, f, f 1 ) h(t,τ, f)g(τ t, f)k a (t, f), (1) h(t,τ, f)k a (t, f 1 ) g(τ t, f)k a (t, f)k a (t, f 1 )dt. () K a (t, f)k a (t, f 1 )A θ A θ e iπ[( f f 1 )cotθ ( f f 1)t cscθ]. (3) By using (18) and (3) in () we obtain H a (τ, f, f 1 ) f cscθ p k π e (τ t) ( f cscθ)p /k Aθ A θ e iπ[( f f 1 )cotθ ( f f 1)t cscθ] dt f cscθ p k π A θ A θ e iπ[( f f 1 )cotθ] e (τ t) ( f cscθ) p /k e iπ( f f 1)t cscθ dt. (4) By using the technique of [5], we obtain H a (τ, f, f 1 )A θ A θ e iπ[( f f 1 )cotθ] e iπ( f f 1)τ cscθ e π k ( f f 1 ) (cscθ) /( f cscθ) p, and by using (3) we can write (5) H a (τ, f, f 1 )e [π k ( f f 1 ) (csc θ) /( f cscθ) p ] Ka (t, f)k a (t, f 1 ). (6) Also, the FST can be also defined as operations on the fractional Fourier domain FSTu(τ, a f) [ ] Fu( a f)k a (t, f)d f g(τ t, f)k a (t, f)dt F a u( f 1 )H a (τ, f, f 1 )d f 1. (7)

3 J. Ana. Num. Theor. 3, No., (015) / By using (13) and (5) we can write (7 ) as FSTu(τ, a f) A θ e iπ f 1 cotθ [e iπt cotθ u(t)]( f 1 cscθ)a θ A θ e iπ[( f f1 )cotθ] e iπ( f f 1)τ cscθ e π k ( f f 1 ) (cscθ) /( f csc θ) p d f 1 A θ A θ [e iπt cotθ u(t)]( f 1 cscθ)e iπ[( f f1 )cotθ] e iπ f 1 cotθ e iπ( f f 1)τ cscθ e π k ( f f 1 ) (cscθ) /( f csc θ) p d f 1 A θ A θ e iπ f cotθ [e iπt cotθ u(t)]( f 1 cscθ) e iπ( f f 1)τ cscθ e π k ( f f 1 ) (cscθ) /( f csc θ) p d f 1. (8) The S-transform has been studied on the spaces of type S and spaces of tempered ultradistributions by S. K. Singh [16]. Pathak and Singh [11] have studied the wavelet transform of Tempered Ultradistributions. The fractional S-transform on ultradistribution space is studied by Singh [18], which is, in this paper, extended to tempered and ultra Boehmians. 4 Tempered Boehmians for the fractional S-transform The concept of Boehmian is motivated by the so called egular operators, introduced by Boehme [3]. egular operators form a subalgebra of the field of Mikusinski operators and hence they include only such functions whose support is bounded from the left. Boehmians contain all regular operators, all distributions and some objects which are neither operators nor distributions, they have an algebraic character of Mikusinski operators, and at the same time do not have any restrictions on the support, and they contain all Schwartz distributions, oumieu ultradistributions, regular operators and tempered distribution. Mikusinski [9] introduced the space of tempered Boehmians, and its Fourier transform is defined as a classical distribution. In another paper [10], he enlarged the space of tempered Boehmians, by introducing larger class of delta sequence, which is identified with the space of ultradistribution. Tempered Boehmians : The pair of sequence ( f n,ϕ n ) is called a quotient of sequence, denoted by f n /ϕ n, whose numerator belongs to some set G and the denominator is a delta sequence such that f n ϕ m f m ϕ n, n,m N. (9) Two quotients of sequence f n /ϕ n and g n /ψ n are said to be equivalent if f n ψ n g n ϕ n, n N. (30) The equivalence classes are called the Boehmians. The space of Boehmians is denoted by B, an element of which is written as x f n /ϕ n. Application of construction of Boehmians to function spaces with the convolution product yields various spaces of generalized functions. The spaces, so obtained, contain the standard spaces of generalized functions defined as dual spaces. For example, if G C( N ) and a delta sequence defined as sequence of functions ϕ n D such that (i) ϕ n dx1, a N (ii) ϕ n dx C, for some constant C and n N, (iii) supp ϕ n (x) 0, as, then the space of Boehmian that is obtained, contains properly the space of Schwartz distributions. Similarly, this space of Boehmians also contains properly the space of tempered distributions S, when G is the space of slowly increasing functions with delta sequence. The fractional S-transform of tempered Boehmian form a proper subspace of Schwartz distribution D. Since D is dense in S there cannot more than one element to S (dual of S) having the same restriction to D. Therefore, this type of correspondence between S and D is one to one and so we express it by saying that S D. Boehmian space have two types of convergence, namely, the δ- and - convergences, which are stated as: (i) A sequence of Boehmians (x n ) in the Boehmian space B is said to be δ- convergent to a Boehmian x in B, which is denoted by x n δ x if there exists a delta sequence (δ n ) such that (x n δ n ),(x δ n ) G, n N and (x n δ k ) (x δ k ) as in G, k N. (ii) A sequence of Boehmians (x n ) in B is said to be - convergent to a Boehmian x in B, denoted by x n δ x if there exists a delta sequence (δ n ) such that (x n x) δ n G, n N and(x n x) δ n 0 as in G. For details of the properties and convergence of Boehmians one can refer to [7]. We have employed following notations and definitions. A complex valued infinitely differentiable function f, defined on N, is called rapidly decreasing, if ( sup sup 1+x 1 + x + + ) m D x N α f(x) <, x N α m for every non-negative integer m. Here α α α N, and D α α x α x α. 1 1 xα N N The space of all rapidly decreasing functions on N is denoted by S. The delta sequence, i.e., sequence of real valued functions ϕ 1,ϕ,... S, is such that (i) ϕ n dx1, a N (ii) ϕ n dx C, for some constant C and n N, (iii) lim x ε x k ϕ n dx0, for every k N,ε > 0.

4 106 A. Singh: Fractional S-Transform for Boehmians If ϕ S and ϕ 1, then the sequence of functions ϕ n is a delta sequence. A complex-valued function f on N is called slowly increasing if there exists a polynomial p on N such that f(x)/p(x) is bounded. The space of all slowly increasing continuous functions on N is denoted by I. If f n I, {ϕ n } is a delta sequence under usual notion, then the space of equivalence classes of quotients of sequence will be denoted by B I, elements of which will be called tempered Boehmians. For F [ f n /ϕ n ] B I, define D α F [( f n D α ϕ n )/(ϕ n ϕ n )]. If F is a Boehmian corresponding to differentiable function, then D α F B I. If F [ f n /ϕ n ] B I and f n S, for all n N, then F is called a rapidly decreasing Boehmian. The space of all rapidly decreasing Boehmian is denoted by B S. If F [ f n /ϕ n ] B I and G[g n /ψ n ] B S,then the convolution is F G[( f n g n )/(ϕ n ψ n )] B I. The convolution quotient is denoted by f/ϕ and f ϕ denotes a usual quotient. Let f I. Then the fractional S-transformation of f, denoted as f, is defined for distribution spaces of slowly increasing function f in the following form: f,ϕ f, ϕ, ϕ S(). Moreover, as we know that the Fourier transform of the convolution of two functions is the product of their Fourier transform. Whereas, in the present case, when we consider this condition for fractional S-transform, it does not seem to be as nice or as practical. Actually, the convolution operation defined by ( f g)(x) f(t)g(x t)dt (31) is not the right sort of convolution for the fractional S-transform. Therefore, we define fractional S convolution in terms of basic function [1, p.119]: ( f g)(z) D(x, y, z) f(x)g(y)dy, (3) usually, translation τ is defined by (τ y f)(x) f (x,y) D(x,y,z) f(z)dz. (33) We assume D(x,y,z) 1 for fractional S-transform and define ( f g) f g. (34) Theorem 1. If [ f n /ϕ n ] B I, then the sequence { f n }, n 1,,..., converges in D. Moreover, if [ f n /ϕ n ] [g n /ψ n ],then { f n } and { g n } converges to the same limit for the fractional S-transform of tempered Boehmians. The proof is similar to that of Theorem 1; see [9]. Definition 1. By the fractional S-transform F of a tempered Boehmian F [ f n /ϕ n ] β I we mean the limit of the sequence { f n } is in D. The fractional S-transform is thus a mapping from β I to D, which is a linear mapping. Theorem. Let F [ f n /ϕ n ] B I and G[g n /ψ n ] B S. Then (i)( G) is an infinitely differentiable function (ii)[f G] F G and (iii) ( F) ( ϕ n )( f n ), n N Proof. (i) Let G[g n /γ n ] B S and let U be the bounded open subset of. Then there exists n N such that{ γ n }> 0 on U. We have, thus [ G] { g n } { g n }{ γ p } { γ p } { g p }{ γ n } { γ p } { g p} { γ p } { g p} { γ p } lim { γ n} on U. Since { g p },{ γ p } S and { γ p }>0 on U, thus { G} is an infinitely differentiable function on U. (ii) Let F [ f n /ϕ n ] B I and G [g n /γ n ] B S. If ϕ D, then there exists p N such that { γ p }>0 on the support of ϕ. We have (F G) {ϕ} ( f n g n ) (ϕ) {( f n g n )}(ϕ) ( f n )( g n,ϕ) { } gn γ p ( f n ) ϕ, n, p N γ p { } gp γ n ( f n ) ϕ γ p { } gp ( f n ) ϕ( γ n ) γ p ( f n ){( G)ϕ( γ n )} ; ( G) lim {( f n )( γ n )}(ϕ) ( G) lim ( f n γ n ) (ϕ) ( F G)(ϕ). from (i) The last equality follows from the fact that [ f n /ϕ n ] [( f n ϕ n )/(ϕ n γ n )]. (iii) Let ϕ D. Then

5 J. Ana. Num. Theor. 3, No., (015) / F ϕ p,ϕ F, ϕ p ϕ, p N f n, ϕ p ϕ f n ϕ p,ϕ f p ϕ n,ϕ f p, ϕ n ϕ i.e. f p,ϕ Hence F ϕ p f p. Thus, the fractional S-transform of an arbitrary distribution can be defined as a tempered Boehmian. The theorem is, therefore, completely proved. Theorem 3. A distribution f is the fractional S-transform of tempered Boehmian if and only if there exists a delta sequence {δ n } such that { f( δ n )} is a tempered distribution for every n N. Proof. Let F [ f n /ϕ n ] B I and f { F}. Then f{ ϕ n } { F}{ ϕ n }. Thus, f( ϕ n ) is a tempered distribution. Now let f D, and (δ n ) be a delta sequence such that f( δ n ) is tempered distribution for every n N. We define [ { f( F δ ] n )} δ n (35) (δ n δ n ) where { f( δ n )} is the inverse fractional S-transform of { f( δ n )}. Since { f( δ n )} is a tempered distribution, therefore,{ f( δ n )} is also a tempered distribution. 5 UltraBoehmians for the fractional S-transform Consider a complex valued infinitely differentiable function f, defined on n, which satisfies z k f(z) C k e a y, z, Im(z)y, (36) where k is a non-negative integer. Such a space of all entire function over the complex z-plane is denoted by Z and the delta sequence is such that and (i) ϕ n 1 (ii) z k ϕ n (z) C k e a y, k N. Considering G as Z, which satisfies (9) and (30) and the properties of the delta sequence, is called the ultraboehmian. It is denoted by B Z, where f n Z. For [ f n /ϕ n ] B Z, and f n Z, n N, F is called the space of entire function of Boehmians, and is denoted by B Z. If [ f n /ϕ n ] B Z and G[g n /ψ n ] B Z, then the convolution, given by [ ] ( fn g n ) F G B (ϕ n ψ n ) Z, (37) is well defined. Theorem 4. If [ f n /ϕ n ] B Z then the fractional S-transform converges in D. Moreover, if [ f n /ϕ n ] [g n /ψ n ] B Z, then the fractional S-transform converges to the same limit of ultraboehmians. Proof. Let ϕ D (testing function space) and k N be such that ϕ k > 0 on the support of ϕ. Since f n ϕ m f m ϕ n, m,n N, we have f n ϕ m f m ϕ n. Thus, f n,ϕ f n, ϕ ϕ k ϕ k f n ϕ k, ϕ ϕ k i.e. { } ϕ ϕn ϕ k f k ϕ n, ϕ ϕ k f k, ϕ ϕ n. ϕ k Since the sequence converges to ϕ ϕ k in D, the sequence { f n,ϕ} converges in D. This proves that the sequence { f n } converges in D (dual of space D). Now, we consider[ f n /ϕ n ][g n /γ n ] B I, and define and f n+1 γ n+1,if n is odd h n. g n ϕ n,if n is even ϕ n+1 γ n+1,if n is odd δ n ϕ n γ n,if n is even. Then [h n /δ n ][ f n /ϕ n ] [g n /γ n ], and the sequence { h n } converges in D. Moreover, h n 1,ϕ ( fn γ n ),ϕ i.e lim f n γ n,ϕ f n, γ n ϕ f n,ϕ. Thus, this proves that sequences { f n } and { h n } have the same limit. Similarly, it can be shown that the sequences { h n } and{ g n } will have the same limit.

6 108 A. Singh: Fractional S-Transform for Boehmians emark.(1) For the classical Fourier transform, Z S S Z [1, p. 01], and owing to this fact, the elements of ultraboehmians will be contained in the tempered Boehmians. Therefore, the fractional S-transform of ultraboehmians and tempered Boehmians, discussed in this paper, shows that B Z B S B I B Z []. () Integrable Boehmians of fractional S-transform : Let G be the space of complex-valued Lebesgue integrable functions on real line and δ be the delta sequence. Then the equivalence class of quotients is called the integrable Boehmians, space of which is denoted by B L1. One may refer to Mikusinski [8], where Fourier transform for integrable Boehmian is investigated. By using the relation between fraction Fourier transform, fractional S-transform given, one can define and find fractional S-transform for integrable Boehmians. Acknowledgement This work is partially supported by the University Grants Commission, Govt. of India under the Dr. D.S. Kothari Post-Doctoral Fellowship, Sanction No. F.4-/006(BS)/13-663/01(BS). The author is grateful to the anonymous referee for their valuable comments and suggestions. [1]. S. Pathak, The Wavelet Transform, Atlantis Press/World Scientific, Amsterdam, Paris, 009 [13] Abhishek Singh, D. Loonker, and P.K. Banerji, Fourier- Bessel transform for tempered Boehmians, Int. Journal of Math. Analysis 4 (45), (010). [14] Abhishek Singh and P.K. Banerji, Fractional integrals for fractional Fourier transform of integrable Boehmains. (Submitted) [15] Abhishek Singh and S. K. Singh, Integral transform for ultradistributions and their extensions to Boehmians, Integration: Theory and applications, (To appear). [16] S. K. Singh, The S-Transform on spaces of type S, Integ. Trans. Spl. Funct. 3 (7), (01). [17] S. K. Singh, The S-Transform on spaces of type W, Integ. Trans. Spl. Funct. 3 (1), (01). [18] S. K. Singh, The fractional S-Transform for tempered ultradistributions, Invest. Math. Sci. (), (01). [19]. G. Stockwell, L. Mansinha and. P. Lowe, Localization of the complex spectrum: The S transform, IEEE Trans. Signal Process. 44 (4), (1996). [0] S. Ventosa, C. Simon, M. Schimmel, J. Dañobeitia,and A. Mànuel, The S-transform from a wavelet point of view, IEEE Trans. Signal Process., 56 (07), (008). [1] A. H. Zemanian, Generalized Integral Transformations, Interscience Publishers, New York, eferences [1] L. B. Almeida, The fractional Fourier transform and timefrequency representations, IEEE Trans. Signal Process 4 (11), (1994). [] S.K.Q. Al-Omari, D. Loonker, P.K. Banerji and S.L. Kalla, Fourier sine (cosine) transform for ultradistributions and their extensions to tempered and ultraboehmian spaces, Integ. Trans. Spl. Funct. 19 (6), (008). [3] T. K. Boehme, Support of Mikusinski operators, Trans. Amer. Math. Soc. 176, (1973). [4] C. K. Chui, An Introduction to Wavelets, Academic Press, New York, 199. [5] D. P. Xu and K. Guo, Fractional S transform -Part 1:Theory, Applied Geophysics 9 (1), (01). [6] I. M. Gel fand and G. E. Shilov, Generalized Functions, Volume, Academic Press, New York, [7] P. Mikusinski, Convergence of Boehmains, Japan. J. Math. 9 (1), (1983). [8] P. Mikusiński, Fourier transform for integrable Boehmians, ocky Mountain J. Math. 17, (1987). [9] P. Mikusinski, The Fourier transform of tempered Bohemians, Fourier Analysis, Lecture Notes in Pure and Applied Math., Marcel Dekker, New York, (1994). [10] P. Mikusinski, Tempered Boehmians and Ultradistributions, Proc. Amer. Math. Soc. 13 (3), (1995). [11]. S. Pathak and S. K. Singh, The Wavelet Transform on spaces of type S, Proceedings of the oyal Society of Edinburgh, 136A, (006).

Fourier-Bessel Transform for Tempered Boehmians

Fourier-Bessel Transform for Tempered Boehmians Int. Journal of Math. Analysis, Vol. 4, 1, no. 45, 199-1 Fourier-Bessel Transform for Tempered Boehmians Abhishek Singh, Deshna Loonker P. K. Banerji Department of Mathematics Faculty of Science, J. N.

More information

NOTES FOR HARTLEY TRANSFORMS OF GENERALIZED FUNCTIONS. S.K.Q. Al-Omari. 1. Introduction

NOTES FOR HARTLEY TRANSFORMS OF GENERALIZED FUNCTIONS. S.K.Q. Al-Omari. 1. Introduction italian journal of pure and applied mathematics n. 28 2011 (21 30) 21 NOTES FOR HARTLEY TRANSFORMS OF GENERALIZED FUNCTIONS S.K.Q. Al-Omari Department of Applied Sciences Faculty of Engineering Technology

More information

Research Article On Diffraction Fresnel Transforms for Boehmians

Research Article On Diffraction Fresnel Transforms for Boehmians Abstract and Applied Analysis Volume 20, Article ID 72746, pages doi:0.55/20/72746 esearch Article On Diffraction Fresnel Transforms for Boehmians S. K. Q. Al-Omari and A. Kılıçman 2 Department of Applied

More information

Research Article The S-Transform of Distributions

Research Article The S-Transform of Distributions e Scientific World Journal, Article ID 623294, 4 pages http://dx.doi.org/10.1155/2014/623294 Research Article The S-Transform of Distributions Sunil Kumar Singh Department of Mathematics, Rajiv Gandhi

More information

We denote the space of distributions on Ω by D ( Ω) 2.

We denote the space of distributions on Ω by D ( Ω) 2. Sep. 1 0, 008 Distributions Distributions are generalized functions. Some familiarity with the theory of distributions helps understanding of various function spaces which play important roles in the study

More information

STRUCTURE OF (w 1, w 2 )-TEMPERED ULTRADISTRIBUTION USING SHORT-TIME FOURIER TRANSFORM

STRUCTURE OF (w 1, w 2 )-TEMPERED ULTRADISTRIBUTION USING SHORT-TIME FOURIER TRANSFORM ITALIAN JOURNAL OF PURE AND APPLIED MATHEMATICS N. 39 2018 (154 164) 154 STRUCTURE OF (w 1, w 2 )-TEMPERED ULTRADISTRIBUTION USING SHORT-TIME FOURIER TRANSFORM Hamed M. Obiedat Ibraheem Abu-falahah Department

More information

On a class of generalized Meijer Laplace transforms of Fox function type kernels and their extension to a class of Boehmians

On a class of generalized Meijer Laplace transforms of Fox function type kernels and their extension to a class of Boehmians Georgian Math. J. 218; 25(1): 1 8 Research Article Shrideh Khalaf Qasem Al-Omari* On a class of generalized Meijer Laplace transforms of Fox function type kernels their extension to a class of Boehmians

More information

ON GENERALIZATIONS OF BOEHMIAN SPACE AND HARTLEY TRANSFORM. C. Ganesan and R. Roopkumar. 1. Introduction

ON GENERALIZATIONS OF BOEHMIAN SPACE AND HARTLEY TRANSFORM. C. Ganesan and R. Roopkumar. 1. Introduction MATEMATIČKI VESNIK MATEMATIQKI VESNIK 69, 2 (2017, 133 143 June 2017 originalni nauqni rad research paper ON GENERALIZATIONS OF BOEHMIAN SPACE AND HARTLEY TRANSFORM C. Ganesan and R. Roopkumar Abstract.

More information

On the generalized Hartley-Hilbert and Fourier-Hilbert transforms

On the generalized Hartley-Hilbert and Fourier-Hilbert transforms Al-Omari Kılıçman Advances in Difference Equations 212, 212:232 http://www.advancesindifferenceequations.com/content/212/1/232 R E S E A R C H Open Access On the generalized Hartley-Hilbert Fourier-Hilbert

More information

One point compactification for generalized quotient spaces

One point compactification for generalized quotient spaces @ Applied General Topology c Universidad Politécnica de Valencia Volume 11, No. 1, 2010 pp. 21-27 One point compactification for generalized quotient spaces V. Karunakaran and C. Ganesan Abstract. The

More information

f (t) K(t, u) d t. f (t) K 1 (t, u) d u. Integral Transform Inverse Fourier Transform

f (t) K(t, u) d t. f (t) K 1 (t, u) d u. Integral Transform Inverse Fourier Transform Integral Transforms Massoud Malek An integral transform maps an equation from its original domain into another domain, where it might be manipulated and solved much more easily than in the original domain.

More information

Wavelet transform of generalized functions in K {M p } spaces

Wavelet transform of generalized functions in K {M p } spaces Proc. Indian Acad. Sci. (Math. Sci.) Vol. 126, No. 2, May 216, pp. 213 226. c Indian Academy of Sciences Wavelet transform of generalized functions in K {M p } spaces R S PATHAK and ABHISHEK SINGH DST

More information

ALMOST AUTOMORPHIC GENERALIZED FUNCTIONS

ALMOST AUTOMORPHIC GENERALIZED FUNCTIONS Novi Sad J. Math. Vol. 45 No. 1 2015 207-214 ALMOST AUTOMOPHIC GENEALIZED FUNCTIONS Chikh Bouzar 1 Mohammed Taha Khalladi 2 and Fatima Zohra Tchouar 3 Abstract. The paper deals with a new algebra of generalized

More information

Fourier analysis, measures, and distributions. Alan Haynes

Fourier analysis, measures, and distributions. Alan Haynes Fourier analysis, measures, and distributions Alan Haynes 1 Mathematics of diffraction Physical diffraction As a physical phenomenon, diffraction refers to interference of waves passing through some medium

More information

Outline of Fourier Series: Math 201B

Outline of Fourier Series: Math 201B Outline of Fourier Series: Math 201B February 24, 2011 1 Functions and convolutions 1.1 Periodic functions Periodic functions. Let = R/(2πZ) denote the circle, or onedimensional torus. A function f : C

More information

Conformal maps. Lent 2019 COMPLEX METHODS G. Taylor. A star means optional and not necessarily harder.

Conformal maps. Lent 2019 COMPLEX METHODS G. Taylor. A star means optional and not necessarily harder. Lent 29 COMPLEX METHODS G. Taylor A star means optional and not necessarily harder. Conformal maps. (i) Let f(z) = az + b, with ad bc. Where in C is f conformal? cz + d (ii) Let f(z) = z +. What are the

More information

NATIONAL BOARD FOR HIGHER MATHEMATICS. Research Awards Screening Test. February 25, Time Allowed: 90 Minutes Maximum Marks: 40

NATIONAL BOARD FOR HIGHER MATHEMATICS. Research Awards Screening Test. February 25, Time Allowed: 90 Minutes Maximum Marks: 40 NATIONAL BOARD FOR HIGHER MATHEMATICS Research Awards Screening Test February 25, 2006 Time Allowed: 90 Minutes Maximum Marks: 40 Please read, carefully, the instructions on the following page before you

More information

MATH 220: THE FOURIER TRANSFORM TEMPERED DISTRIBUTIONS. Beforehand we constructed distributions by taking the set Cc

MATH 220: THE FOURIER TRANSFORM TEMPERED DISTRIBUTIONS. Beforehand we constructed distributions by taking the set Cc MATH 220: THE FOURIER TRANSFORM TEMPERED DISTRIBUTIONS Beforehand we constructed distributions by taking the set Cc ( ) as the set of very nice functions, and defined distributions as continuous linear

More information

1 Math 241A-B Homework Problem List for F2015 and W2016

1 Math 241A-B Homework Problem List for F2015 and W2016 1 Math 241A-B Homework Problem List for F2015 W2016 1.1 Homework 1. Due Wednesday, October 7, 2015 Notation 1.1 Let U be any set, g be a positive function on U, Y be a normed space. For any f : U Y let

More information

arxiv: v3 [math.fa] 6 Oct 2016

arxiv: v3 [math.fa] 6 Oct 2016 ON GENERALIZATIONS OF BOEHMIAN SPACE AND HARTLEY TRANSFORM arxiv:605.044v3 [math.fa] 6 Oct 206 C. GANESAN AND R. ROOPKUMAR Abstract. Boehmians are quotients of sequences which are constructed by using

More information

Vectors in Function Spaces

Vectors in Function Spaces Jim Lambers MAT 66 Spring Semester 15-16 Lecture 18 Notes These notes correspond to Section 6.3 in the text. Vectors in Function Spaces We begin with some necessary terminology. A vector space V, also

More information

Dunkl operators and Clifford algebras II

Dunkl operators and Clifford algebras II Translation operator for the Clifford Research Group Department of Mathematical Analysis Ghent University Hong Kong, March, 2011 Translation operator for the Hermite polynomials Translation operator for

More information

More Least Squares Convergence and ODEs

More Least Squares Convergence and ODEs More east Squares Convergence and ODEs James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University April 12, 219 Outline Fourier Sine and Cosine Series

More information

Wavelets: Theory and Applications. Somdatt Sharma

Wavelets: Theory and Applications. Somdatt Sharma Wavelets: Theory and Applications Somdatt Sharma Department of Mathematics, Central University of Jammu, Jammu and Kashmir, India Email:somdattjammu@gmail.com Contents I 1 Representation of Functions 2

More information

Recent structure theorems of orders and results in abstract harmonic analysis

Recent structure theorems of orders and results in abstract harmonic analysis A NOTE ON UMD SPACES AND TRANSFERENCE IN VECTOR-VALUED FUNCTION SPACES Nakhlé H. Asmar, Brian P. Kelly, and Stephen Montgomery-Smith Abstract. A Banach space X is called an HT space if the Hilbert transform

More information

7: FOURIER SERIES STEVEN HEILMAN

7: FOURIER SERIES STEVEN HEILMAN 7: FOURIER SERIES STEVE HEILMA Contents 1. Review 1 2. Introduction 1 3. Periodic Functions 2 4. Inner Products on Periodic Functions 3 5. Trigonometric Polynomials 5 6. Periodic Convolutions 7 7. Fourier

More information

CONVOLUTION OPERATORS IN INFINITE DIMENSION

CONVOLUTION OPERATORS IN INFINITE DIMENSION PORTUGALIAE MATHEMATICA Vol. 51 Fasc. 4 1994 CONVOLUTION OPERATORS IN INFINITE DIMENSION Nguyen Van Khue and Nguyen Dinh Sang 1 Introduction Let E be a complete convex bornological vector space (denoted

More information

THE RADON NIKODYM PROPERTY AND LIPSCHITZ EMBEDDINGS

THE RADON NIKODYM PROPERTY AND LIPSCHITZ EMBEDDINGS THE RADON NIKODYM PROPERTY AND LIPSCHITZ EMBEDDINGS Motivation The idea here is simple. Suppose we have a Lipschitz homeomorphism f : X Y where X and Y are Banach spaces, namely c 1 x y f (x) f (y) c 2

More information

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books.

Applied Analysis (APPM 5440): Final exam 1:30pm 4:00pm, Dec. 14, Closed books. Applied Analysis APPM 44: Final exam 1:3pm 4:pm, Dec. 14, 29. Closed books. Problem 1: 2p Set I = [, 1]. Prove that there is a continuous function u on I such that 1 ux 1 x sin ut 2 dt = cosx, x I. Define

More information

PERIODIC HYPERFUNCTIONS AND FOURIER SERIES

PERIODIC HYPERFUNCTIONS AND FOURIER SERIES PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 128, Number 8, Pages 2421 2430 S 0002-9939(99)05281-8 Article electronically published on December 7, 1999 PERIODIC HYPERFUNCTIONS AND FOURIER SERIES

More information

On an uniqueness theorem for characteristic functions

On an uniqueness theorem for characteristic functions ISSN 392-53 Nonlinear Analysis: Modelling and Control, 207, Vol. 22, No. 3, 42 420 https://doi.org/0.5388/na.207.3.9 On an uniqueness theorem for characteristic functions Saulius Norvidas Institute of

More information

Tools from Lebesgue integration

Tools from Lebesgue integration Tools from Lebesgue integration E.P. van den Ban Fall 2005 Introduction In these notes we describe some of the basic tools from the theory of Lebesgue integration. Definitions and results will be given

More information

ENGIN 211, Engineering Math. Laplace Transforms

ENGIN 211, Engineering Math. Laplace Transforms ENGIN 211, Engineering Math Laplace Transforms 1 Why Laplace Transform? Laplace transform converts a function in the time domain to its frequency domain. It is a powerful, systematic method in solving

More information

REFRESHER. William Stallings

REFRESHER. William Stallings BASIC MATH REFRESHER William Stallings Trigonometric Identities...2 Logarithms and Exponentials...4 Log Scales...5 Vectors, Matrices, and Determinants...7 Arithmetic...7 Determinants...8 Inverse of a Matrix...9

More information

FOURIER SERIES WITH THE CONTINUOUS PRIMITIVE INTEGRAL

FOURIER SERIES WITH THE CONTINUOUS PRIMITIVE INTEGRAL Real Analysis Exchange Summer Symposium XXXVI, 2012, pp. 30 35 Erik Talvila, Department of Mathematics and Statistics, University of the Fraser Valley, Chilliwack, BC V2R 0N3, Canada. email: Erik.Talvila@ufv.ca

More information

PROLATE SPHEROIDAL WAVELETS AND MULTIDIMENSIONAL CHROMATIC SERIES EXPANSIONS

PROLATE SPHEROIDAL WAVELETS AND MULTIDIMENSIONAL CHROMATIC SERIES EXPANSIONS Gulf Journal of Mathematics Vol 2, Issue 1 (2014) 75-82 PROLATE SPHEROIDAL WAVELETS AND MULTIDIMENSIONAL CHROMATIC SERIES EXPANSIONS DEVENDRA KUMAR 1 Abstract. Chromatic series were originally introduced

More information

ON THE PATHWISE UNIQUENESS OF SOLUTIONS OF STOCHASTIC DIFFERENTIAL EQUATIONS

ON THE PATHWISE UNIQUENESS OF SOLUTIONS OF STOCHASTIC DIFFERENTIAL EQUATIONS PORTUGALIAE MATHEMATICA Vol. 55 Fasc. 4 1998 ON THE PATHWISE UNIQUENESS OF SOLUTIONS OF STOCHASTIC DIFFERENTIAL EQUATIONS C. Sonoc Abstract: A sufficient condition for uniqueness of solutions of ordinary

More information

ORTHONORMAL SAMPLING FUNCTIONS

ORTHONORMAL SAMPLING FUNCTIONS ORTHONORMAL SAMPLING FUNCTIONS N. KAIBLINGER AND W. R. MADYCH Abstract. We investigate functions φ(x) whose translates {φ(x k)}, where k runs through the integer lattice Z, provide a system of orthonormal

More information

Multiplication Operators with Closed Range in Operator Algebras

Multiplication Operators with Closed Range in Operator Algebras J. Ana. Num. Theor. 1, No. 1, 1-5 (2013) 1 Journal of Analysis & Number Theory An International Journal Multiplication Operators with Closed Range in Operator Algebras P. Sam Johnson Department of Mathematical

More information

Here we used the multiindex notation:

Here we used the multiindex notation: Mathematics Department Stanford University Math 51H Distributions Distributions first arose in solving partial differential equations by duality arguments; a later related benefit was that one could always

More information

WAVELET EXPANSIONS OF DISTRIBUTIONS

WAVELET EXPANSIONS OF DISTRIBUTIONS WAVELET EXPANSIONS OF DISTRIBUTIONS JASSON VINDAS Abstract. These are lecture notes of a talk at the School of Mathematics of the National University of Costa Rica. The aim is to present a wavelet expansion

More information

1 Continuity Classes C m (Ω)

1 Continuity Classes C m (Ω) 0.1 Norms 0.1 Norms A norm on a linear space X is a function : X R with the properties: Positive Definite: x 0 x X (nonnegative) x = 0 x = 0 (strictly positive) λx = λ x x X, λ C(homogeneous) x + y x +

More information

FRAMES AND TIME-FREQUENCY ANALYSIS

FRAMES AND TIME-FREQUENCY ANALYSIS FRAMES AND TIME-FREQUENCY ANALYSIS LECTURE 5: MODULATION SPACES AND APPLICATIONS Christopher Heil Georgia Tech heil@math.gatech.edu http://www.math.gatech.edu/ heil READING For background on Banach spaces,

More information

Katznelson Problems. Prakash Balachandran Duke University. June 19, 2009

Katznelson Problems. Prakash Balachandran Duke University. June 19, 2009 Katznelson Problems Prakash Balachandran Duke University June 9, 9 Chapter. Compute the Fourier coefficients of the following functions (defined by their values on [ π, π)): f(t) { t < t π (t) g(t) { t

More information

Warm Up = = 9 5 3) = = ) ) 99 = ) Simplify. = = 4 6 = 2 6 3

Warm Up = = 9 5 3) = = ) ) 99 = ) Simplify. = = 4 6 = 2 6 3 Warm Up Simplify. 1) 99 = 3 11 2) 125 + 2 20 = 5 5 + 4 5 = 9 5 3) 2 + 7 2 + 3 7 = 4 + 6 7 + 2 7 + 21 4) 4 42 3 28 = 4 3 3 2 = 4 6 6 = 25 + 8 7 = 2 6 3 Test Results Average Median 5 th : 76.5 78 7 th :

More information

On Bank-Laine functions

On Bank-Laine functions Computational Methods and Function Theory Volume 00 0000), No. 0, 000 000 XXYYYZZ On Bank-Laine functions Alastair Fletcher Keywords. Bank-Laine functions, zeros. 2000 MSC. 30D35, 34M05. Abstract. In this

More information

Wavelets and regularization of the Cauchy problem for the Laplace equation

Wavelets and regularization of the Cauchy problem for the Laplace equation J. Math. Anal. Appl. 338 008440 1447 www.elsevier.com/locate/jmaa Wavelets and regularization of the Cauchy problem for the Laplace equation Chun-Yu Qiu, Chu-Li Fu School of Mathematics and Statistics,

More information

Math 321 Final Examination April 1995 Notation used in this exam: N. (1) S N (f,x) = f(t)e int dt e inx.

Math 321 Final Examination April 1995 Notation used in this exam: N. (1) S N (f,x) = f(t)e int dt e inx. Math 321 Final Examination April 1995 Notation used in this exam: N 1 π (1) S N (f,x) = f(t)e int dt e inx. 2π n= N π (2) C(X, R) is the space of bounded real-valued functions on the metric space X, equipped

More information

Pseudo-Differential Operators associated with Bessel Type Operators - I

Pseudo-Differential Operators associated with Bessel Type Operators - I Thai Journal of Mathematics Volume 8 (21 Number 1 : 51 62 www.math.science.cmu.ac.th/thaijournal Online ISSN 1686-29 Pseudo-Differential Operators associated with Bessel Type Operators - I B. B. Waphare

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

Metric Spaces. Exercises Fall 2017 Lecturer: Viveka Erlandsson. Written by M.van den Berg

Metric Spaces. Exercises Fall 2017 Lecturer: Viveka Erlandsson. Written by M.van den Berg Metric Spaces Exercises Fall 2017 Lecturer: Viveka Erlandsson Written by M.van den Berg School of Mathematics University of Bristol BS8 1TW Bristol, UK 1 Exercises. 1. Let X be a non-empty set, and suppose

More information

6 The Fourier transform

6 The Fourier transform 6 The Fourier transform In this presentation we assume that the reader is already familiar with the Fourier transform. This means that we will not make a complete overview of its properties and applications.

More information

Stieltjes Transformation as the Iterated Laplace Transformation

Stieltjes Transformation as the Iterated Laplace Transformation International Journal of Mathematical Analysis Vol. 11, 2017, no. 17, 833-838 HIKARI Ltd, www.m-hikari.com https://doi.org/10.12988/ijma.2017.7796 Stieltjes Transformation as the Iterated Laplace Transformation

More information

Inversion of the Dual Dunkl Sonine Transform on R Using Dunkl Wavelets

Inversion of the Dual Dunkl Sonine Transform on R Using Dunkl Wavelets Symmetry, Integrability and Geometry: Methods and Applications SIGMA 5 2009), 071, 12 pages Inversion of the Dual Dunkl Sonine Transform on Using Dunkl Wavelets Mohamed Ali MOUOU Department of Mathematics,

More information

Biorthogonal Spline Type Wavelets

Biorthogonal Spline Type Wavelets PERGAMON Computers and Mathematics with Applications 0 (00 1 0 www.elsevier.com/locate/camwa Biorthogonal Spline Type Wavelets Tian-Xiao He Department of Mathematics and Computer Science Illinois Wesleyan

More information

CHAPTER VIII HILBERT SPACES

CHAPTER VIII HILBERT SPACES CHAPTER VIII HILBERT SPACES DEFINITION Let X and Y be two complex vector spaces. A map T : X Y is called a conjugate-linear transformation if it is a reallinear transformation from X into Y, and if T (λx)

More information

Notes on Fourier Series and Integrals Fourier Series

Notes on Fourier Series and Integrals Fourier Series Notes on Fourier Series and Integrals Fourier Series et f(x) be a piecewise linear function on [, ] (This means that f(x) may possess a finite number of finite discontinuities on the interval). Then f(x)

More information

Distribution Theory and Fundamental Solutions of Differential Operators

Distribution Theory and Fundamental Solutions of Differential Operators Final Degree Dissertation Degree in Mathematics Distribution Theory and Fundamental Solutions of Differential Operators Author: Daniel Eceizabarrena Pérez Supervisor: Javier Duoandikoetxea Zuazo Leioa,

More information

BANACH FRAMES GENERATED BY COMPACT OPERATORS ASSOCIATED WITH A BOUNDARY VALUE PROBLEM

BANACH FRAMES GENERATED BY COMPACT OPERATORS ASSOCIATED WITH A BOUNDARY VALUE PROBLEM TWMS J. Pure Appl. Math., V.6, N.2, 205, pp.254-258 BRIEF PAPER BANACH FRAMES GENERATED BY COMPACT OPERATORS ASSOCIATED WITH A BOUNDARY VALUE PROBLEM L.K. VASHISHT Abstract. In this paper we give a type

More information

Distribution Solutions of Some PDEs Related to the Wave Equation and the Diamond Operator

Distribution Solutions of Some PDEs Related to the Wave Equation and the Diamond Operator Applied Mathematical Sciences, Vol. 7, 013, no. 111, 5515-554 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.1988/ams.013.3844 Distribution Solutions of Some PDEs Related to the Wave Equation and the

More information

Overview of Fourier Series (Sect. 6.2). Origins of the Fourier Series.

Overview of Fourier Series (Sect. 6.2). Origins of the Fourier Series. Overview of Fourier Series (Sect. 6.2. Origins of the Fourier Series. Periodic functions. Orthogonality of Sines and Cosines. Main result on Fourier Series. Origins of the Fourier Series. Summary: Daniel

More information

Fourier Transform & Sobolev Spaces

Fourier Transform & Sobolev Spaces Fourier Transform & Sobolev Spaces Michael Reiter, Arthur Schuster Summer Term 2008 Abstract We introduce the concept of weak derivative that allows us to define new interesting Hilbert spaces the Sobolev

More information

ECG782: Multidimensional Digital Signal Processing

ECG782: Multidimensional Digital Signal Processing Professor Brendan Morris, SEB 3216, brendan.morris@unlv.edu ECG782: Multidimensional Digital Signal Processing Spring 2014 TTh 14:30-15:45 CBC C313 Lecture 05 Image Processing Basics 13/02/04 http://www.ee.unlv.edu/~b1morris/ecg782/

More information

INTEGRABILITY CONDITIONS PERTAINING TO ORLICZ SPACE

INTEGRABILITY CONDITIONS PERTAINING TO ORLICZ SPACE INTEGRABILITY CONDITIONS PERTAINING TO ORLICZ SPACE L. LEINDLER University of Szeged, Bolyai Institute Aradi vértanúk tere 1, 6720 Szeged, Hungary EMail: leindler@math.u-szeged.hu Received: 04 September,

More information

AP Calculus Summer Packet

AP Calculus Summer Packet AP Calculus Summer Packet Writing The Equation Of A Line Example: Find the equation of a line that passes through ( 1, 2) and (5, 7). ü Things to remember: Slope formula, point-slope form, slopeintercept

More information

arxiv: v2 [math.fa] 17 May 2016

arxiv: v2 [math.fa] 17 May 2016 ESTIMATES ON SINGULAR VALUES OF FUNCTIONS OF PERTURBED OPERATORS arxiv:1605.03931v2 [math.fa] 17 May 2016 QINBO LIU DEPARTMENT OF MATHEMATICS, MICHIGAN STATE UNIVERSITY EAST LANSING, MI 48824, USA Abstract.

More information

Exercises from other sources REAL NUMBERS 2,...,

Exercises from other sources REAL NUMBERS 2,..., Exercises from other sources REAL NUMBERS 1. Find the supremum and infimum of the following sets: a) {1, b) c) 12, 13, 14, }, { 1 3, 4 9, 13 27, 40 } 81,, { 2, 2 + 2, 2 + 2 + } 2,..., d) {n N : n 2 < 10},

More information

Solutions to Tutorial 7 (Week 8)

Solutions to Tutorial 7 (Week 8) The University of Sydney School of Mathematics and Statistics Solutions to Tutorial 7 (Week 8) MATH2962: Real and Complex Analysis (Advanced) Semester 1, 2017 Web Page: http://www.maths.usyd.edu.au/u/ug/im/math2962/

More information

PROBLEMS IN UNBOUNDED CYLINDRICAL DOMAINS

PROBLEMS IN UNBOUNDED CYLINDRICAL DOMAINS PROBLEMS IN UNBOUNDED CYLINDRICAL DOMAINS PATRICK GUIDOTTI Mathematics Department, University of California, Patrick Guidotti, 103 Multipurpose Science and Technology Bldg, Irvine, CA 92697, USA 1. Introduction

More information

TOPICS IN FOURIER ANALYSIS-IV. Contents

TOPICS IN FOURIER ANALYSIS-IV. Contents TOPICS IN FOURIER ANALYSIS-IV M.T. NAIR Contents 1. Test functions and distributions 2 2. Convolution revisited 8 3. Proof of uniqueness theorem 13 4. A characterization of distributions 14 5. Distributions

More information

Approximation of Integrable Functions by Wavelet Expansions

Approximation of Integrable Functions by Wavelet Expansions Results Math 72 27, 23 2 c 26 The Authors. This article is published with open access at Springerlink.com 422-6383/7/323-9 published online October 25, 26 DOI.7/s25-6-64-z Results in Mathematics Approximation

More information

A Tilt at TILFs. Rod Nillsen University of Wollongong. This talk is dedicated to Gary H. Meisters

A Tilt at TILFs. Rod Nillsen University of Wollongong. This talk is dedicated to Gary H. Meisters A Tilt at TILFs Rod Nillsen University of Wollongong This talk is dedicated to Gary H. Meisters Abstract In this talk I will endeavour to give an overview of some aspects of the theory of Translation Invariant

More information

1. If 1, ω, ω 2, -----, ω 9 are the 10 th roots of unity, then (1 + ω) (1 + ω 2 ) (1 + ω 9 ) is A) 1 B) 1 C) 10 D) 0

1. If 1, ω, ω 2, -----, ω 9 are the 10 th roots of unity, then (1 + ω) (1 + ω 2 ) (1 + ω 9 ) is A) 1 B) 1 C) 10 D) 0 4 INUTES. If, ω, ω, -----, ω 9 are the th roots of unity, then ( + ω) ( + ω ) ----- ( + ω 9 ) is B) D) 5. i If - i = a + ib, then a =, b = B) a =, b = a =, b = D) a =, b= 3. Find the integral values for

More information

Chapter 1. Distributions

Chapter 1. Distributions Chapter 1 Distributions The concept of distribution generalises and extends the concept of function. A distribution is basically defined by its action on a set of test functions. It is indeed a linear

More information

MATH 614 Dynamical Systems and Chaos Lecture 3: Classification of fixed points.

MATH 614 Dynamical Systems and Chaos Lecture 3: Classification of fixed points. MATH 614 Dynamical Systems and Chaos Lecture 3: Classification of fixed points. Periodic points Definition. A point x X is called a fixed point of a map f : X X if f(x) = x. A point x X is called a periodic

More information

Uncertainty Principles for the Segal-Bargmann Transform

Uncertainty Principles for the Segal-Bargmann Transform Journal of Mathematical Research with Applications Sept, 017, Vol 37, No 5, pp 563 576 DOI:103770/jissn:095-65101705007 Http://jmredluteducn Uncertainty Principles for the Segal-Bargmann Transform Fethi

More information

CK- 12 Algebra II with Trigonometry Concepts 1

CK- 12 Algebra II with Trigonometry Concepts 1 14.1 Graphing Sine and Cosine 1. A.,1 B. (, 1) C. 3,0 D. 11 1, 6 E. (, 1) F. G. H. 11, 4 7, 1 11, 3. 3. 5 9,,,,,,, 4 4 4 4 3 5 3, and, 3 3 CK- 1 Algebra II with Trigonometry Concepts 1 4.ans-1401-01 5.

More information

LECTURE 5: THE METHOD OF STATIONARY PHASE

LECTURE 5: THE METHOD OF STATIONARY PHASE LECTURE 5: THE METHOD OF STATIONARY PHASE Some notions.. A crash course on Fourier transform For j =,, n, j = x j. D j = i j. For any multi-index α = (α,, α n ) N n. α = α + + α n. α! = α! α n!. x α =

More information

1.5 Approximate Identities

1.5 Approximate Identities 38 1 The Fourier Transform on L 1 (R) which are dense subspaces of L p (R). On these domains, P : D P L p (R) and M : D M L p (R). Show, however, that P and M are unbounded even when restricted to these

More information

ON BASICITY OF A SYSTEM OF EXPONENTS WITH DEGENERATING COEFFICIENTS

ON BASICITY OF A SYSTEM OF EXPONENTS WITH DEGENERATING COEFFICIENTS TWMS J. Pure Appl. Math. V.1, N.2, 2010, pp. 257-264 ON BASICITY OF A SYSTEM OF EXPONENTS WITH DEGENERATING COEFFICIENTS S.G. VELIYEV 1, A.R.SAFAROVA 2 Abstract. A system of exponents of power character

More information

AN EXTENSION OF THE LAX-MILGRAM THEOREM AND ITS APPLICATION TO FRACTIONAL DIFFERENTIAL EQUATIONS

AN EXTENSION OF THE LAX-MILGRAM THEOREM AND ITS APPLICATION TO FRACTIONAL DIFFERENTIAL EQUATIONS Electronic Journal of Differential Equations, Vol. 215 (215), No. 95, pp. 1 9. ISSN: 172-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu AN EXTENSION OF THE

More information

Strongly nonlinear parabolic initial-boundary value problems in Orlicz spaces

Strongly nonlinear parabolic initial-boundary value problems in Orlicz spaces 2002-Fez conference on Partial Differential Equations, Electronic Journal of Differential Equations, Conference 09, 2002, pp 203 220. http://ejde.math.swt.edu or http://ejde.math.unt.edu ftp ejde.math.swt.edu

More information

Topics in Harmonic Analysis Lecture 1: The Fourier transform

Topics in Harmonic Analysis Lecture 1: The Fourier transform Topics in Harmonic Analysis Lecture 1: The Fourier transform Po-Lam Yung The Chinese University of Hong Kong Outline Fourier series on T: L 2 theory Convolutions The Dirichlet and Fejer kernels Pointwise

More information

GATE EE Topic wise Questions SIGNALS & SYSTEMS

GATE EE Topic wise Questions SIGNALS & SYSTEMS www.gatehelp.com GATE EE Topic wise Questions YEAR 010 ONE MARK Question. 1 For the system /( s + 1), the approximate time taken for a step response to reach 98% of the final value is (A) 1 s (B) s (C)

More information

Sobolev spaces. May 18

Sobolev spaces. May 18 Sobolev spaces May 18 2015 1 Weak derivatives The purpose of these notes is to give a very basic introduction to Sobolev spaces. More extensive treatments can e.g. be found in the classical references

More information

Pre- Calculus Mathematics Trigonometric Identities and Equations

Pre- Calculus Mathematics Trigonometric Identities and Equations Pre- Calculus Mathematics 12 6.1 Trigonometric Identities and Equations Goal: 1. Identify the Fundamental Trigonometric Identities 2. Simplify a Trigonometric Expression 3. Determine the restrictions on

More information

Math 341: Probability Seventeenth Lecture (11/10/09)

Math 341: Probability Seventeenth Lecture (11/10/09) Math 341: Probability Seventeenth Lecture (11/10/09) Steven J Miller Williams College Steven.J.Miller@williams.edu http://www.williams.edu/go/math/sjmiller/ public html/341/ Bronfman Science Center Williams

More information

UNIQUENESS OF MEROMORPHIC FUNCTIONS SHARING THREE VALUES

UNIQUENESS OF MEROMORPHIC FUNCTIONS SHARING THREE VALUES Kragujevac Journal of Mathematics Volume 38(1) (2014), Pages 105 123. UNIQUENESS OF MEROMORPHIC FUNCTIONS SHARING THREE VALUES ARINDAM SARKAR 1 AND PAULOMI CHATTOPADHYAY 2 Abstract. We prove four uniqueness

More information

SEISMIC WAVE PROPAGATION. Lecture 2: Fourier Analysis

SEISMIC WAVE PROPAGATION. Lecture 2: Fourier Analysis SEISMIC WAVE PROPAGATION Lecture 2: Fourier Analysis Fourier Series & Fourier Transforms Fourier Series Review of trigonometric identities Analysing the square wave Fourier Transform Transforms of some

More information

Bochner s Theorem on the Fourier Transform on R

Bochner s Theorem on the Fourier Transform on R Bochner s heorem on the Fourier ransform on Yitao Lei October 203 Introduction ypically, the Fourier transformation sends suitable functions on to functions on. his can be defined on the space L ) + L

More information

OSGOOD TYPE REGULARITY CRITERION FOR THE 3D NEWTON-BOUSSINESQ EQUATION

OSGOOD TYPE REGULARITY CRITERION FOR THE 3D NEWTON-BOUSSINESQ EQUATION Electronic Journal of Differential Equations, Vol. 013 (013), No. 3, pp. 1 6. ISSN: 107-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu OSGOOD TYPE REGULARITY

More information

THEORY OF DISTRIBUTIONS

THEORY OF DISTRIBUTIONS THEORY OF DISTRIBUTIONS THE SEQUENTIAL APPROACH by PIOTR ANTOSIK Special Research Centre of the Polish Academy of Sciences in Katowice JAN MIKUSltfSKI Special Research Centre of the Polish Academy of Sciences

More information

Surprising Sinc Sums and Integrals

Surprising Sinc Sums and Integrals David Borwein University of Western Ontario Peter Borwein Conference May 12-16, 28 1 Motivation and preliminaries. This talk is based on material in a paper to appear shortly in MAA MONTHLY with the above

More information

Analysis Qualifying Exam

Analysis Qualifying Exam Analysis Qualifying Exam Spring 2017 Problem 1: Let f be differentiable on R. Suppose that there exists M > 0 such that f(k) M for each integer k, and f (x) M for all x R. Show that f is bounded, i.e.,

More information

Y. Liu and A. Mohammed. L p (R) BOUNDEDNESS AND COMPACTNESS OF LOCALIZATION OPERATORS ASSOCIATED WITH THE STOCKWELL TRANSFORM

Y. Liu and A. Mohammed. L p (R) BOUNDEDNESS AND COMPACTNESS OF LOCALIZATION OPERATORS ASSOCIATED WITH THE STOCKWELL TRANSFORM Rend. Sem. Mat. Univ. Pol. Torino Vol. 67, 2 (2009), 203 24 Second Conf. Pseudo-Differential Operators Y. Liu and A. Mohammed L p (R) BOUNDEDNESS AND COMPACTNESS OF LOCALIZATION OPERATORS ASSOCIATED WITH

More information

THE UNIVERSITY OF WESTERN ONTARIO. Applied Mathematics 375a Instructor: Matt Davison. Final Examination December 14, :00 12:00 a.m.

THE UNIVERSITY OF WESTERN ONTARIO. Applied Mathematics 375a Instructor: Matt Davison. Final Examination December 14, :00 12:00 a.m. THE UNIVERSITY OF WESTERN ONTARIO London Ontario Applied Mathematics 375a Instructor: Matt Davison Final Examination December 4, 22 9: 2: a.m. 3 HOURS Name: Stu. #: Notes: ) There are 8 question worth

More information

A. Incorrect! This equality is true for all values of x. Therefore, this is an identity and not a conditional equation.

A. Incorrect! This equality is true for all values of x. Therefore, this is an identity and not a conditional equation. CLEP-Precalculus - Problem Drill : Trigonometric Identities No. of 0 Instructions: () Read the problem and answer choices carefully () Work the problems on paper as. Which of the following equalities is

More information

Real Analysis Problems

Real Analysis Problems Real Analysis Problems Cristian E. Gutiérrez September 14, 29 1 1 CONTINUITY 1 Continuity Problem 1.1 Let r n be the sequence of rational numbers and Prove that f(x) = 1. f is continuous on the irrationals.

More information

Fourier Series. Fourier Transform

Fourier Series. Fourier Transform Math Methods I Lia Vas Fourier Series. Fourier ransform Fourier Series. Recall that a function differentiable any number of times at x = a can be represented as a power series n= a n (x a) n where the

More information

1.1 Appearance of Fourier series

1.1 Appearance of Fourier series Chapter Fourier series. Appearance of Fourier series The birth of Fourier series can be traced back to the solutions of wave equation in the work of Bernoulli and the heat equation in the work of Fourier.

More information