Laguerre wavelet and its programming

Similar documents
Numerical Simulation for the 2-D Heat Equation with Derivative Boundary Conditions

Chapter 3 Linear Equations of Higher Order (Page # 144)

Part B: Transform Methods. Professor E. Ambikairajah UNSW, Australia

Chapter 11 INTEGRAL EQUATIONS

Fourier Techniques Chapters 2 & 3, Part I

The Development of Suitable and Well-founded Numerical Methods to Solve Systems of Integro- Differential Equations,

Response of LTI Systems to Complex Exponentials

Chapter 7 INTEGRAL EQUATIONS

MAT3700. Tutorial Letter 201/2/2016. Mathematics III (Engineering) Semester 2. Department of Mathematical sciences MAT3700/201/2/2016

( A) ( B) ( C) ( D) ( E)

Continous system: differential equations

Mathematical Preliminaries for Transforms, Subbands, and Wavelets

The Solution of Advection Diffusion Equation by the Finite Elements Method

Infinite Continued Fraction (CF) representations. of the exponential integral function, Bessel functions and Lommel polynomials

Fourier Series: main points

2 Dirac delta function, modeling of impulse processes. 3 Sine integral function. Exponential integral function

ISSN: [Bellale* et al., 6(1): January, 2017] Impact Factor: 4.116

Bernstein Direct Method for Solving. Variational Problems

An Analytical Study on Fractional Partial Differential Equations by Laplace Transform Operator Method

1973 AP Calculus BC: Section I

x, x, e are not periodic. Properties of periodic function: 1. For any integer n,

Ring of Large Number Mutually Coupled Oscillators Periodic Solutions

Web-appendix 1: macro to calculate the range of ( ρ, for which R is positive definite

Review Topics from Chapter 3&4. Fourier Series Fourier Transform Linear Time Invariant (LTI) Systems Energy-Type Signals Power-Type Signals

What Is the Difference between Gamma and Gaussian Distributions?

Poisson Arrival Process

Approximate solutions for the time-space fractional nonlinear of partial differential equations using reduced differential transform method

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)

Poisson Arrival Process

Overview. Review Elliptic and Parabolic. Review General and Hyperbolic. Review Multidimensional II. Review Multidimensional

Practice papers A and B, produced by Edexcel in 2009, with mark schemes. Practice Paper A. 5 cosh x 2 sinh x = 11,

DEFLECTIONS OF THIN PLATES: INFLUENCE OF THE SLOPE OF THE PLATE IN THE APLICATION OF LINEAR AND NONLINEAR THEORIES

ELECTROMAGNETIC COMPATIBILITY HANDBOOK 1. Chapter 12: Spectra of Periodic and Aperiodic Signals

Digital Signal Processing, Fall 2006

Some Applications of the Poisson Process

OPTIMUM ORDER QUANTITY FOR DETERIORATING ITEMS IN LARGEST LIFETIME WITH PERMISSIBLE DELAY PERIOD S. C. SHARMA & VIVEK VIJAY

Midterm exam 2, April 7, 2009 (solutions)

Analysis of Non-Sinusoidal Waveforms Part 2 Laplace Transform

Modeling of the CML FD noise-to-jitter conversion as an LPTV process

Akpan s Algorithm to Determine State Transition Matrix and Solution to Differential Equations with Mixed Initial and Boundary Conditions

Linear Systems Analysis in the Time Domain

Iterative Methods of Order Four for Solving Nonlinear Equations

NON-LINEAR PARAMETER ESTIMATION USING VOLTERRA SERIES WITH MULTI-TONE EXCITATION

EEE 303: Signals and Linear Systems

Fourier Eigenfunctions, Uncertainty Gabor Principle And Isoresolution Wavelets

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

New Families of Fourth-Order Derivative-Free Methods for Solving Nonlinear Equations with Multiple Roots

ECE351: Signals and Systems I. Thinh Nguyen

Note 6 Frequency Response

An Asymptotic Expansion for the Non-Central Chi-square Distribution. By Jinan Hamzah Farhood Department of Mathematics College of Education

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net

Mixing time with Coupling

ECEN620: Network Theory Broadband Circuit Design Fall 2014

Software Development Cost Model based on NHPP Gompertz Distribution

) and furthermore all X. The definition of the term stationary requires that the distribution fulfills the condition:

Semi-Parametric Method to Estimate the Time-to- Failure Distribution and its Percentiles for Simple Linear Degradation Model

Revisiting what you have learned in Advanced Mathematical Analysis

CSE 245: Computer Aided Circuit Simulation and Verification

Optimum Demodulation. Lecture Notes 9: Intersymbol Interference

15. Numerical Methods

The Variance-Covariance Matrix

Intrinsic formulation for elastic line deformed on a surface by an external field in the pseudo-galilean space 3. Nevin Gürbüz

The geometry of surfaces contact

Review Lecture 5. The source-free R-C/R-L circuit Step response of an RC/RL circuit. The time constant = RC The final capacitor voltage v( )

1.7 Vector Calculus 2 - Integration

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT

Control Systems (Lecture note #6)

REACHABILITY OF FRACTIONAL CONTINUOUS-TIME LINEAR SYSTEMS USING THE CAPUTO-FABRIZIO DERIVATIVE

Chapter 3: Fourier Representation of Signals and LTI Systems. Chih-Wei Liu

Strictly as per the compliance and regulations of :

ON H-TRICHOTOMY IN BANACH SPACES

DEPARTMENT OF MATHEMATICS BIT, MESRA, RANCHI MA2201 Advanced Engg. Mathematics Session: SP/ 2017

Department of Electronics & Telecommunication Engineering C.V.Raman College of Engineering

Page 1. Before-After Control-Impact (BACI) Power Analysis For Several Related Populations (With Unknown Variance Matrix) Richard A.

, then the old equilibrium biomass was greater than the new B e. and we want to determine how long it takes for B(t) to reach the value B e.

Boyce/DiPrima 9 th ed, Ch 7.9: Nonhomogeneous Linear Systems

An Exact Solution for the Free Vibration Analysis of Timoshenko Beams

Lecture 4: Laplace Transforms

The Importance of Ordering the Number of Lattice Points Inside a Rational Polyhedron Using Generating Functions

Advanced Engineering Mathematics, K.A. Stroud, Dexter J. Booth Engineering Mathematics, H.K. Dass Higher Engineering Mathematics, Dr. B.S.

Series of New Information Divergences, Properties and Corresponding Series of Metric Spaces

Chapter4 Time Domain Analysis of Control System

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas

MODIFIED ADOMIAN DECOMPOSITION METHOD FOR SOLVING RICCATI DIFFERENTIAL EQUATIONS

1a.- Solution: 1a.- (5 points) Plot ONLY three full periods of the square wave MUST include the principal region.

Recovery of Valuable Incompletely-Recorded Return- Stroke Current Derivative Signals

THE ROYAL STATISTICAL SOCIETY 2016 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA MODULE 1

Reconfiguration for Sensor Failure of Aero-engine Electronic Control System Based on the MRAC

Assessing Reliable Software using SPRT based on LPETM

Modified Variational Iteration Method for the Solution of nonlinear Partial Differential Equations

PRELIMINARY DEFINITIONS AND RELATIONS

UNIT I FOURIER SERIES T

Final Exam : Solutions

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar

Variational iteration method: A tools for solving partial differential equations

Fractional Complex Transform for Solving the Fractional Differential Equations

New Sixteenth-Order Derivative-Free Methods for Solving Nonlinear Equations

3.2. Derivation of Laplace Transforms of Simple Functions

ANALYTICAL EXPRESSION FOR THE NON-ISOTHERMAL EFFECTIVENESS FACTOR: The n th -order reaction in a slab geometry

Transcription:

Iraioal Joural o Mahaics rds ad chology (IJM) Volu 49 Nubr Spbr 7 agurr l ad is prograig B Sayaaraya Y Pragahi Kuar Asa Abdullah 3 3 Dpar o Mahaics Acharya Nagarjua Uivrsiy Adhra pradsh Idia Dpar o Mahaics Collg o Naural ad Copuaioal Scics Adigra Uivrsiy Adigra Ehiopia Absrac I his papr h auhor cosrucs w agurr l ucio wih is progra by usig MAAB progra Also h auhor drivaiv ad igraio wih is powrs i rs arics ar cosrucd h icicy o h abov ucios hrough h us o hs vrbs i h soluio o so xapls ha will show us h validiy o wha w hav said Morovr so o h hypohsis was provd as h hors o orhogoaliy ad Covrg Kywords- agurr ls MAAB progra opraioal arix o igraio opraioal arix o drivaiv ad powrs i rs I INRODUCION Firs w show ha h ors ha cu daa io dir rqucy copos ar ahaical ucios [ ] I is show hrough ay sourcs ha ach copo will b sudid wih a rsoluio proporioal o is rag whr hy hav radiioal Fourir hods i cas aalysis i dir Scic or xapl physics [9 ] Ovr h pas yars hr hav b xchags bw sciiic ilds ha iclud h dvlop o ors idpdly i h ilds o girig scic ad gology [3-5] Irchags bw hs ilds durig h pas yars hav ld o ay w l applicaios such as iag coprssio urbulc hua visio radar ad arhqua prdicio [6 3] Wavl aalysis is a powrul ahaical ool ha has b usd widly i iag digial procssig quau ild hory [5-7] urical aalysis ad ay ohr ilds i rc yars oday hr ar ay wors o ls hods or approxiaig h soluio o h probls [8 9] such as Haar ls hod [8] SAC ls hod Haroic ls hod irs ad scod Chbyshv ls [4] ad gdr ls hod [7] I h prs papr gav so ipora characrisics o agurr polyoials wih is will b giv icludig w propris Procssig iag is also discussd i his papr II AGUERRE POYNOMIAS AND IS PROPERIES agurr s dirial quaio: h dirial quaio o agurr s polypial giv by xy " x y ' y () whr =3 his quaio has polyoial soluios calld agurr polyoials is giv by x d x x x () dx Which is also rrrd o as Rodrigu s orula or h agurr polyoials h irs w agurr polyoials ar x x x 3 x x 4x x 6 8x 9x x (3) 3 whr x is a polyoial o dgr Prograig agurr polyoial: By usig Malab ucio =ag() i == =; ls Su = ; or = : su = su+(- )^*acorial()*acorial()*^/ (acorial()*acorial()*acorial(-)); d =su; Ed 3 So ipora propris o agurr polyoials: I h ollowig w lis so propris o h agurr polyoials Graig ucio: x (4)! Rcurrc orula: x x x (5) x x x (6) x x x x (7) ISSN: 3-5373 hp://wwwijjouralorg Pag 9

Iraioal Joural o Mahaics rds ad chology (IJM) Volu 49 Nubr Spbr 7 3 Orhogoaliy x x x (8) 4 Sris xpasios: A dx! I x A x! i i h x x dx x (9) 4 Miscllaous orhogoal polyoials ad hir propris: hr ar ay ohr xapls o orhogoal polyoials So o h or ipora os oghr wih hir propris ar giv i h ollowig lis Associad agurr Polyoials x d x x dx () ad saisyig h quaio x y x y y () I h x x w hav x x () x x! x dx p dx p! II AGUERRE WAVEES p (3) I his scio w cosrucd agurr l ro h aily ucio r sr s or sr R s s (4) whr h ls M M ar h basis ucios orhogoal o h [] 3 Cosrucd agurr Wavls: agurr l is dod by (ag) is h yp o ls usd or solvig dirial quaios igral quaios variaio probls dir scics ad girig probls as wll as racioal dirial quaios agurr l hav our argus ordr or agurr polyoials ad oralizd is is ad i I w dilaio by parar s raslaio by parar r ad x us rasor x i (4) h w will g h ollowig quaio ohrwis (5) whr ~! or = 3 Prograig o agurr ls: By MAAB progra w ca g abov ucios or ls ucio o ordr by h ollowig algorihs Cas : ucios o h irval [ 5) ucio = ag() i = = *sqr() ls s = ; or = : s = s + (-) ^ *acorial()*acorial()* ( ddd*) ^/ (acorial()*acorial()*acorial(-)); d =(*sqr()/acorial())*s Ed Cas : ucios o h irval [ 5) ucio = ag() i == =*sqr() ls s = ; or = : s = s +(- )^*acorial()*acorial()*(ddd()) ^/ (acorial()*acorial()*acorial(-)); d =(*sqr()/acorial())*s Ed IV ORHOGONAIY OF AGUERRE WAVEES Fro scio (3) ad quaio (8) w ow x has orhogoaliy wih rspc o h wigh ucio w h s o lagurr ls ar h orhogoal wih rspc o wigh ucio o h irval w I is a sp ucio aig valus ls o 5 ad 5 rspcivly whr is ow ha ay coiuous ucio approxiad uiorly by agurr ucio W will did by usig h agurr ls Dilaios ad ISSN: 3-5373 hp://wwwijjouralorg Pag 3

Iraioal Joural o Mahaics rds ad chology (IJM) Volu 49 Nubr Spbr 7 raslaios o h ucio di a R orhogoal basis i h spac o all squar igrabl ucios his as ha ay l i R ay b rprsd as a liar cobiaio (possibly i ii) o hs basis ucios asy hor : h orhogoal o is o chc I is appar ha d (6) Whvr ad is o saisid siulaously I o zro valus o h l (say ) h ar coaid i h s whr h l coais agurr ucio h ha as igral qual o zro I bu h a las o acor i h produc is zro hus h ucio is orhogoal d d i = 8! i (7) V FUNCION APPROXIMAION A ucio approxiaio xpadd as ay b A whr A (8) I quaio (8) do h ir produc wih wigh ucio w o h Hilbr Spac I h iii sris i abov quaio is rucad h quaio (7) ca b wri as (9) M A A Whr A ad giv by ar M arics A A A A A A A M M () M M M () VI SHIFED AGUERRE WAVEES Shiig h agurr ls by usig polyoials h quaio (5) will bco * i ohrwis () Whr or M! M should o i dalig wih agurr ls h wigh ucio ad raslad w w hav o dilad a ucio ovr ca b xpadd as A whr A did (3) I iii sris i (3) is rucad h i ca b wri as M A A (4) o ar M whr A ad arics giv by A A A A MA A M (5) A A M M ISSN: 3-5373 hp://wwwijjouralorg Pag 3

Iraioal Joural o Mahaics rds ad chology (IJM) Volu 49 Nubr Spbr 7 (6) hor : M M A ucio N wih liid scod drivaiv say b liid scod say N ca b widd as a uliid aggrga o agurr ls ad h sris covrgs uiorly o ls) or = ad M= by diriaio quaio () 4 3 4 4 4 Ad 5 44 6 44 45 h Eploy Marix o Drivaiv or agurr Wavl ha is N A A N 3 4 (7) 4 4 Proo o h hor: D ag() w hav A w d ad 4 4 4 A w d O Dag() 4 i by subsiuig O x i yilds ad O x A x x d (8) x A x x dx 3 x whvr x by copl igraio N () is A N 3 his copls h proo o h hor VII EMPOYMEN MARICES FOR AGUERRE WAVEE 7 h Eploy Marix o Drivaiv or agurr l: I his scio w us shid agurr ls i ploy arix o drivaiv or agurr ls Firs w cosruc 6 6 arix ad i dod by D ag() (drivaiv or agurr Fig (h Eploy Marix o Drivaiv or agurr Wavl) hor 3: b h agurr ls vcor did i quaio (6) h drivaiv o his vcor ca b xprssd as d D d ag whr ISSN: 3-5373 hp://wwwijjouralorg Pag 3

Iraioal Joural o Mahaics rds ad chology (IJM) Volu 49 Nubr Spbr 7 D is h ag M 4 D ag i which is is M M D ag arix ad i s h l is did as ollows (M ) ohrwis Proo: By usig shid agurr polyoials i h h l o vcor ca b wri as! ohrwis (3) M M ad (9) Diriaio quaio (9) d d! ohrwis ha is M M M So is agurr ls xpasio has h ollowig ro d d i a (3) his iplis ha h ploy D is arix ag() D ag a bloc arix as did i (7) orovr x d d d d M i i or M Cosquly h irs row o arix is zro Now by usig h ollowig quaio g whr (3) C l 3 l i Cli l l Subsiuig quaio (3) ad (3) i quaio (3) d Cli d! i (33) (34) Choos 5 d d M D quaio ag holds 7 Eploy Marix o Igraio or agurr Wavls: I his scio Igraio or agurr ls ar discussd For his ploy arix o igraio or agurr ls P Now id 6 6 arix P I quaio (5) or M=3 h six basis ucios ar giv by: 4 5 6 4 7 ad 4 4 5 6 4 3 (35) By igraio h abov six ucios ro o ad usig quaio (8) w obai d 4 3 d 5 8 4 4 3 7 d 4 4 ISSN: 3-5373 hp://wwwijjouralorg Pag 33

Iraioal Joural o Mahaics rds ad chology (IJM) Volu 49 Nubr Spbr 7 d 4 3 d 5 8 4 4 3 d 4 4 6 d P6 6 6 whr hus 6 By usig abov quaios h opraioal arix o igraio P is Eploy Marix o Igraio or agurr Wavls 4 3 8 4 4 3 7 4 4 P ag 4 3 8 4 4 3 4 4 A33 O3 3 P ag O3 3 A 33 Fig (h Eploy Marix o Igraio or agurr Wavl) 73 Powrs i rs o agurr Wavls: I his scio w will driv powrs i rs o agurr Wavls or M 3 Ad is h oralizd i will driv h powrs I rs o agurr Wavls which hlp o solv Probls M 3 3 basis Fucios ar giv by: I I arix or h powrs o ca b rwri as ollows Z W 5 4 5 3 6 8 8 ad 5 4 7 5 6 8 8 Whr Z W 5 Z ad W 5 Powrs i rs agurr Wavls: 4 5 3 6 8 8 6 6 8 7 5 6 8 8 Cosrucig h opraio arix o igraio ad diriaio ha ca b usd i solvig ay probls which ar illusrad i h ollowig xapls VIII APPICAION OF MARICES D ag AND P ag FOR SOVING CACUUS OF VARIAIONA PROBEMS I ordr o solv liar or oliar dirial quaios by usig h ploy arics D ag ad P ag so urical xapls illusra h Procdur [8] I ordr o solv liar or oliar ISSN: 3-5373 hp://wwwijjouralorg Pag 34

Iraioal Joural o Mahaics rds ad chology (IJM) Volu 49 Nubr Spbr 7 X Exac soluio Approxia soluio =M=3 Approxia soluio =M=4 87779 8 87 4 9458 945544 94544 6 7548 586756 786756 8 554898 5433957 5533957 99999999 dirial quaio by usig h abov opraioal arics so urical xapls illusra h procdur which will bgi wih x x h xac soluio U x x abl Shows h urical rsuls or his xapl wih 4 M 3 wih rror M 4 rror 5 ar copard wih xac soluio graphically i ig3 abl shows so urical rsuls or xapl () i y A i i i y A d y A P y i i i i i3 y A P y y y Exapl () Cosidr h ollowig variaio probl [8] i y y 8y Wih h boudary codiios d y y h corrspodig Eulr agrag quaio is y y h h xac soluio or his Probl is y wih h abov boudary codiios o solv his probl assuig y A P ha ag Fid y y o go y A D ag y A D ag will copl his xapl s [8] jus rplac old arics by ()s' arics o igraio ad drivaiv rachd h xac soluio Exapl (): Cosidr h ollowig Volrra igro dirial quaio (VIDE) [4] [5] Fig3 (3D o rsuls o xapl ()) U U x x x x U U d wih ISSN: 3-5373 hp://wwwijjouralorg Pag 35

Iraioal Joural o Mahaics rds ad chology (IJM) Volu 49 Nubr Spbr 7 wih boudary codiios o solv his probl by usig P ag will solv his probl ad rachd h xac soluio Fig5 (copar h rsuls wih xac soluio o xapl ()) IX CONCUSION h agurr ls opraioal arics o igraios wih h aid o spcral ad collocaio hods ar applid o solv ay probls h ls hod auhorizs h ood o vry as algorihs wh copard o h algorihs app roach usd (agurr Polyoials) Nurical rsuls wih coparisos ar giv o coir h rliabiliy o h proposd hod or solvig ay probls Exapl (3): Cosidr h ollowig variaio probl[8] y y y d Mi wih h boudary codiios y y h corrspodig Eulr agrag quaio is is y y h xac soluio or his probl y xac soluio Firs Chbyshv ls Scod ls Chbyshv agurr ls 57584 4883 85337 846984 85553 85337 7345 79744 757 7345 3 5984 94446 5933944 5984 4 349566 35374 3497464 349566 5 4434944 448784 4476674 4434944 6 54747 54374 5435565 54747 7 645496 64596 64483 645496 8 7557548 756358 7547746 7557548 9 8734869 874757 874554 8734869 999345 997456 ISSN: 3-5373 hp://wwwijjouralorg Pag 36

Iraioal Joural o Mahaics rds ad chology (IJM) Volu 49 Nubr Spbr 7 X REFERENCES AA Asa Nurical soluio o Opial probls usig w hird id Chbyshv Wavls Opraioal arix o igraio Eg & c Joural 3():45-56 4 AA Asa Dirc hod or Solvig Noliar Variaioal Probls by Usig Hri Wavls Baghdad Scic Joural Vol() 5 3 AA Asa A Algorih or h Ordr Igro-Dirial Equaios by Usig Hri Wavls Fucios Baghdad Scic Joural Vol(3) 4 4 AA Asa l collocaio hod or solvig igrodirial quaio IOSR Joural o Egirig Vol 5(3) PP -7 5 5 B Asady M Kajai AH Vchh A Hydari Solvig Scod Kid Igral Equaios wih Hybrid Fourir ad Blocpuls Fucios Appl Mah Copu 6 57-5 5 6 CF Ch CH Hsiao A Walsh Sris Dirc Mhod or Solvig Variaioal Probls J Frali Isi 3 65-8 975 7 RY Chag M Wag Shid gdr Dirc Mhod or Variaioal Probls J Opi hory Appl 39 99-37 983 8 IR Horg JH Chou Shid Chbyshv Sris Dirc Mhod or Solvig Variaioal Probls I J Sys Sci 6 855-86 985 9 C Hwag YP Shih Opial Corol o Dlay Syss via Bloc-puls Fucios J Opi hory Appl 45-985 C Hwag YP Shih agurr Sris Dirc Mhod or Variaioal Probls J Opi hory Appl 39 43-49 983 C Hwag YP Shih Soluio o Igral Equaios via agurr Polyoials J Copu Elc Egi 9 3-9 98 CH Hsiao Haar Wavl Dirc Mhod or Solvig Variaioal Probls Mah Copu Siul 64 569-585 4 3 H Jddu Dirc Soluio o Noliar Opial Corol Probls Usig Quasiliarizaio ad Chbyshv Polyoials J Frali Is 339 479-498 4 M Razzaghi Fourir Sris Dirc Mhod or Variaioal Probls I J Corol 48 887-895 988 5 S N Shihab AA Asaa Nurical Soluio o Calculus o Variaios by usig h Scod Chbyshv Wavls Eg & ch Joural 3(8) 39-39 6 S N Shihab AA Asa So Nw Rlaioships Bw h Drivaivs o Firs ad Scod Chbyshv Wavls Iraioal Joural o Egirig Busiss ad Erpris Applicaios (IJEBEA) () 64-68 7 S S Najb & M A Sarha Covrgc Aalysis o shid Fourh id Chbyshv Wavls IOSR Joural o Mahaics Volu () 54-58 4 8 S N Shihab AAAsa So Approxia Algoihs For Variaioal Probls(Boo) 9 SN Shihab AAAsa Solvig Opial Corol iar Syss by Usig Nw hird id Chbyshv Wavls Opraioal Marix o Drivaiv Baghdad Scic Joural Vol() 4 ISSN: 3-5373 hp://wwwijjouralorg Pag 37