1. Statement of the problem

Size: px
Start display at page:

Download "1. Statement of the problem"

Transcription

1 Volue 14, ON THE ITERATIVE SOUTION OF A SYSTEM OF DISCRETE TIMOSHENKO EQUATIONS Peradze J. and Tsklaur Z. I. Javakhshvl Tbls State Uversty,, Uversty St., Tbls 0186, Georga Georgan Techcal Uversty, 77, M. Kostava St., Tbls 0175, Georga j peradze@yahoo.co; zvad tsklaur@yahoo.co Abstract. The varatonal and dfference ethods are used respectvely for spatal and te varables to solve a nonlnear ntegro-dfferental Toshenko dynac bea equaton. The resultng algebrac syste of cubc equatons s solved by the teratve ethod. The teraton process error s estated. Key words and phrases: Toshenko bea equaton, Galerkn ethod, Crank- Ncolson dfference schee, Jacob teraton ethod, Cardano forula, error estate AMS subject classfcaton 000: 65M60, 65M06, 65Q10, 65M15 1. Stateent of the proble et us consder the equaton u tt x, t)+u xxxx x, t) hu xxtt x, t) 1 λ + wth the tal boundary condton 0 ) u xx, t) dx u xx x, t)=0, 1) 0 < x <, 0 < t T, ux, 0) = u 0 x), u t x, 0) = u 1 x), u0, t) = u, t) = 0, u xx 0, t) = u xx, t) = 0, 0 x, 0 t T, ) h > 0, λ > 0,, T and u 0 t), u 1 t) are the gven constants and functons, ux, t) s the functon we want to defne. The equaton 1), whch descrbes the oscllaton of a bea by the Toshenko theory, s consdered n 1], ] and 7]. In the present paper we ntroduce an approxate algorth for the proble 1),) and study the accuracy of ts teraton part. Note that the proble of constructon of nuercal ethods through estaton of algorth errors was nvestgated n 5] for other nonlnear Toshenko bea equatons.

2 16 Bulletn of TICMI. Algorth a. Galerkn ethod An approxate soluton wll be sought for n the for of a fte su u n x, t) = u t) sn x, ), accordng to the Galerkn ethod, the coeffcents u t) are a soluton of the syste of ordnary dfferental equatons ) 1+h u t) + λ ) ] jπ u njt) u t)=0, = 1,,..., n, 4) wth the tal condton u 0) = a 0, u 0) = a 1, = 1,,..., n, 5) a p = 0 u p x) sn x dx, = 1,,..., n, p = 0, 1. b. Dfference schee et us ntroduce the functons y t) = u t), z t) = u t), 6) = 1,,..., n, and rewrte the syste 4),5) n the new notaton as ) ) ) ] 1 + h y t) + λ z 4 njt) z t) = 0, 7) z t) = y t), y 0) = a 1, z 0) = a0, = 1,,..., n. 8) The proble 7),8) wll be solved by the dfference ethod. On a te nterval 0, T ] we ntroduce a net wth step τ = T M and nodes t = τ, = 0, 1,..., M.

3 Volue 14, At the -th layer,.e., for t = t, the approxate values y t) and z t) are denoted by y and z. We ake use of the Crank-Ncolson schee 1 + h ) wth the condton z z 1 τ y y 1 τ c. Iteraton ethod + λ z nj + z 1 nj z + z 1 = 0, 9) = y + y 1, = 1,,..., M, = 1,,..., n, y 0 = a 1, z 0 = a0, = 1,,..., n. 10) We wll solve the syste 9),10) layer-by-layer. Assung that the soluton has been obtaned on the 1)th layer, to fnd t on the th layer we wll apply the Jacob teraton ethod 4]. For the sake of splcty we wll neglect the error of the fnal teraton approxaton on the 1)th layer. carred out by the forulas Ths eans that for fxed the countng wll be 1 + h + λ znj,k ) + z 1 j ) y,k+1 y 1 τ nj z,k+1 ) + z 1 ] z,k+1 + z 1 = 0, ] 11.1) y 1 z,k+1 z 1 = y,k+1 + y 1, τ = 1,,..., M, k = 0, 1,..., = 1,,..., n, and z 1 are the known values, = 1,,..., n, and y 0 = a 1, z 0 = a0, = 1,,..., n. 11.) After expressng y,k+1 n 11.) through y 1, z 1 and z,k+1 y,k+1 = y 1 + z,k+1 z 1 τ, 1)

4 18 Bulletn of TICMI and substtutng 1) nto 11.1), we coe to the expresson τ + h ) z,k+1 z 1 + λ τ znj,k ) + z 1 j τ 1 + h nj z,k+1 ) + z 1 ] z,k+1 + z 1 ) y 1 = 0. 1) Hence t follows that for each k the teraton process eans the realzaton of only one forula 1). After obtang the fnal teraton approxaton z,k+1, we substtute ths value nto 1) to fnd an approxaton for y, = 1,,..., n. By the expresson 1) we conclude that we have to solve a cubc equaton wth respect to z,k+1 at the k + 1)th teraton step for each. Ths equaton s wrtten n the for and d = τ h + z,k+1) + a z,k+1 + b z,k+1 + c = 0, 14) a = z 1, b = d + z 1 + e, c = ) d + z 1 + e z 1 τd y 1, ) ), e = 8 λ + ) + j 15) z nj,k + z 1 nj ). 16) et us apply Cardano s forula ] to the equaton 14) and the relatons 15),16). Recall that the a pror real root of the equaton w + aw + bw + c = 0 s equal to Thus we get w = a + 1) p s s + p=1 r = a z,k+1 = z r 7 + b, s = a 7 ab + c. + ) 1 ] 1, 1) p+1 σ,p, 17) p=1 k = 0, 1,..., = 1,,..., n,

5 Volue 14, and σ,p = 1) p s + r = d + z 1 + e, s = z 1 d z 1 s 4 + r 7 ) 1 ] 1 ) + e τd y 1. 18) 19) The consdered algorth of soluton of the proble 1), ) should be understood as the countng carred out by the forula 17). Havng z,k and takng 6) and ) nto consderaton, we construct the approxated value of the functon ux, t) for t = t as the su z,k sn x. 0). Iteraton ethod error Under the teraton ethod error u n,k we wll understand the dfference between 0) and the su z sn x, whch would gve an approxate value of the functon ux, t) for t = t f the dfference schee 9), 10) were solved exactly. Thus u n,kx) = z,k z ) sn x. 1) Our a conssts n estatng the error u n,k x). et us represent the syste 17) as z,k+1 = φ z n1,k, z n,k,..., z nn,k) ) and consder the Jacob atrx φ J = z nj,k ) n,. ) By vrtue of 17) 19) and ) the dagonal ters of the atrx J are equal to zero, whle for the nondagonal ters we have φ z nj,k = z nj,k 9 1 σ p=1,p z 1 + 1) p s z r ) ) s 1 ] 4 + r. 4) 7

6 0 Bulletn of TICMI By 18) and 19) σ,1 σ, = r, σ, σ,1 = s, ) 1 s 4 + r σ,1 + σ, =. 5) 7 Fro 4) and 5) follows φ z nj,k = 4 9 z nj,kz 1 σ,1 r + z nj,ks σ 4,1 + r 9 + σ4, ) 1 + σ, ) 1, j. 6) Now we apply the frst relaton of 5) to the estate σ p,1 + σp, σ,1σ, ) p, p = 1,. We get σ p,1 + σp, r ) p. Usng ths nequalty, 19) and 16), fro 6) we obtan s 1) 1 4 τ h + = s ) = 8 λ + φ z nj,k 4 z 1 + r r ) 1 z r 64 τ h + ) + z 1 s ) = 1 τ s p) p=1 ) s znj,k ) ) ] z 1 z 1, + n j ) h + z nj,k, 7) ] z nj,k + z 1 nj ) z 1, y 1. ξ a+ξ 1 4a We agan apply 19) and 16) and also the nequaltes for ξ > 0, a > 0 and 4ab a + b for arbtrary a and b. The results s as follows s 1) r s ) r s ) r h 1 τ + ) ) 1 4 z 1, 1 19 τ τ h + λ + ) 1 z 1, ) 1 y 1.

7 Volue 14, Usng these relatons n 7) we coe to a concluson that φ ) 1 1 znj,k 96 τ h + z ) 1 ) 16 τ λ + y 1 znj,k. 8) We wll need a vector nor equal to v 1 = n v and the correspondng nor for the atrces U 1 = ax u j, v = v ) n, U = u j ) n,. By ) and 7) we get 1 j ) 1 J 1 ax 1 j n z nj,k 96 τ τ λ + h + ) 1 z 1 ) 1 ) y 1. 9) By the prncple of copressed appng let us assue that the condton J 1 q s fulflled for 0 < q < 1 and z,k )n, k = 0, 1,..., belongng to the doan { v ) n R n : v z,0 1 1 q } z,1 z,0. As seen fro 8), for ths t suffces that the restrcton τ 1 α be fulflled for the step τ. Here α = 1 h + z 1, β = 6 ) 1 γ = 96 1 q ] β + β + 4αγ) 1 1 λ + ) y 1, z, q z,1 z,0 ) ] 1. 0) If ths restrcton s fulflled, then the syste 9),10) has a uque soluton y, z, the teraton process 17) converges, l z,k = z k, = 1,,..., n, and the convergence rate s defned by the nequalty z,k z qk 1 q z,1 z,0.

8 Bulletn of TICMI Usng ths relaton n 1), we coe to a concluson that f the condton 0) s fulflled, then for the 0, )-nor of the teraton ethod error we have the estate dp dx p u n,kx) 0,) ) 1 p π q k 1 q z,1 z,0, p = 0, 1, = 1,,..., M, k = 1,,.... The queston of accuracy of the Galerkn ethod for the proble 1),) s studed n 6]. R e f e r e n c e s 1] E. Henrques de Brto, A nonlnear hyperbolc equaton, Internat. J. Math. Math. Sc., 1980), no., ] N. Jacobson, Basc algebra. I. Second edton. W. H. Freean and Copany, New York 1985). ] G. P. Menzala and E. Zuazua, Toshenko s bea equaton as a lt of a nonlnear one-densonal von Karan syste, Proc. Roy. Soc. Ednburgh Sect. A, ), no. 4, ] J. M. Ortega and W. C. Rhenboldt, Iteratve soluton of nonlnear equatons n several varables, Reprnt of the 1970 orgnal. Classcs n Appled Matheatcs, 0. Socety for Industral and Appled Matheatcs SIAM), Phladelpha, PA, ] J. Peradze, The exstence of a soluton and a nuercal ethod for the Toshenko nonlnear wave syste, MAN Math. Model. Nuer. Anal ), no. 1, ] J. Peradze, On the accuracy of the Galerkn ethod for one nonlnear bea equaton, Math. Meth. Appl. Sc., 8 pp., 010 subtted). 7] M. Tucsnak, Se-nternal stablzaton for a non-lnear Bernoull-Euler equaton, Math. Methods Appl. Sc ), no. 11, Receved 1, 06, 010; revsed 1, 10, 010; accepted

9 Bblography 1] E. Henrques de Brto, A nonlnear hyperbolc equaton, Internat. J. Math. Math. Sc., 1980), no., ] N. Jacobson, Basc algebra. I. Second edton. W. H. Freean and Copany, New York 1985). ] G. P. Menzala and E. Zuazua, Toshenko s bea equaton as a lt of a nonlnear one-densonal von Karan syste, Proc. Roy. Soc. Ednburgh Sect. A, ), no. 4, ] J. M. Ortega and W. C. Rhenboldt, Iteratve soluton of nonlnear equatons n several varables, Reprnt of the 1970 orgnal. Classcs n Appled Matheatcs, 0. Socety for Industral and Appled Matheatcs SIAM), Phladelpha, PA, ] J. Peradze, The exstence of a soluton and a nuercal ethod for the Toshenko nonlnear wave syste, MAN Math. Model. Nuer. Anal ), no. 1, ] J. Peradze, On the accuracy of the Galerkn ethod for one nonlnear bea equaton, Math. Meth. Appl. Sc., 8 pp., 010 subtted). 7] M. Tucsnak, Se-nternal stablzaton for a non-lnear Bernoull-Euler equaton, Math. Methods Appl. Sc ), no. 11,

Denote the function derivatives f(x) in given points. x a b. Using relationships (1.2), polynomials (1.1) are written in the form

Denote the function derivatives f(x) in given points. x a b. Using relationships (1.2), polynomials (1.1) are written in the form SET OF METHODS FO SOUTION THE AUHY POBEM FO STIFF SYSTEMS OF ODINAY DIFFEENTIA EUATIONS AF atypov and YuV Nulchev Insttute of Theoretcal and Appled Mechancs SB AS 639 Novosbrs ussa Introducton A constructon

More information

Applied Mathematics Letters

Applied Mathematics Letters Appled Matheatcs Letters 2 (2) 46 5 Contents lsts avalable at ScenceDrect Appled Matheatcs Letters journal hoepage: wwwelseverco/locate/al Calculaton of coeffcents of a cardnal B-splne Gradr V Mlovanovć

More information

Solution of Linear System of Equations and Matrix Inversion Gauss Seidel Iteration Method

Solution of Linear System of Equations and Matrix Inversion Gauss Seidel Iteration Method Soluton of Lnear System of Equatons and Matr Inverson Gauss Sedel Iteraton Method It s another well-known teratve method for solvng a system of lnear equatons of the form a + a22 + + ann = b a2 + a222

More information

System in Weibull Distribution

System in Weibull Distribution Internatonal Matheatcal Foru 4 9 no. 9 94-95 Relablty Equvalence Factors of a Seres-Parallel Syste n Webull Dstrbuton M. A. El-Dacese Matheatcs Departent Faculty of Scence Tanta Unversty Tanta Egypt eldacese@yahoo.co

More information

Least Squares Fitting of Data

Least Squares Fitting of Data Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2014. All Rghts Reserved. Created: July 15, 1999 Last Modfed: February 9, 2008 Contents 1 Lnear Fttng

More information

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

On Pfaff s solution of the Pfaff problem

On Pfaff s solution of the Pfaff problem Zur Pfaff scen Lösung des Pfaff scen Probles Mat. Ann. 7 (880) 53-530. On Pfaff s soluton of te Pfaff proble By A. MAYER n Lepzg Translated by D. H. Delpenc Te way tat Pfaff adopted for te ntegraton of

More information

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 )

Yong Joon Ryang. 1. Introduction Consider the multicommodity transportation problem with convex quadratic cost function. 1 2 (x x0 ) T Q(x x 0 ) Kangweon-Kyungk Math. Jour. 4 1996), No. 1, pp. 7 16 AN ITERATIVE ROW-ACTION METHOD FOR MULTICOMMODITY TRANSPORTATION PROBLEMS Yong Joon Ryang Abstract. The optmzaton problems wth quadratc constrants often

More information

Slobodan Lakić. Communicated by R. Van Keer

Slobodan Lakić. Communicated by R. Van Keer Serdca Math. J. 21 (1995), 335-344 AN ITERATIVE METHOD FOR THE MATRIX PRINCIPAL n-th ROOT Slobodan Lakć Councated by R. Van Keer In ths paper we gve an teratve ethod to copute the prncpal n-th root and

More information

Least Squares Fitting of Data

Least Squares Fitting of Data Least Squares Fttng of Data Davd Eberly Geoetrc Tools, LLC http://www.geoetrctools.co/ Copyrght c 1998-2015. All Rghts Reserved. Created: July 15, 1999 Last Modfed: January 5, 2015 Contents 1 Lnear Fttng

More information

Our focus will be on linear systems. A system is linear if it obeys the principle of superposition and homogenity, i.e.

Our focus will be on linear systems. A system is linear if it obeys the principle of superposition and homogenity, i.e. SSTEM MODELLIN In order to solve a control syste proble, the descrptons of the syste and ts coponents ust be put nto a for sutable for analyss and evaluaton. The followng ethods can be used to odel physcal

More information

Fermi-Dirac statistics

Fermi-Dirac statistics UCC/Physcs/MK/EM/October 8, 205 Fer-Drac statstcs Fer-Drac dstrbuton Matter partcles that are eleentary ostly have a type of angular oentu called spn. hese partcles are known to have a agnetc oent whch

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

Chapter 12. Ordinary Differential Equation Boundary Value (BV) Problems

Chapter 12. Ordinary Differential Equation Boundary Value (BV) Problems Chapter. Ordnar Dfferental Equaton Boundar Value (BV) Problems In ths chapter we wll learn how to solve ODE boundar value problem. BV ODE s usuall gven wth x beng the ndependent space varable. p( x) q(

More information

A new Approach for Solving Linear Ordinary Differential Equations

A new Approach for Solving Linear Ordinary Differential Equations , ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of

More information

A Radon-Nikodym Theorem for Completely Positive Maps

A Radon-Nikodym Theorem for Completely Positive Maps A Radon-Nody Theore for Copletely Postve Maps V P Belavn School of Matheatcal Scences, Unversty of Nottngha, Nottngha NG7 RD E-al: vpb@aths.nott.ac.u and P Staszews Insttute of Physcs, Ncholas Coperncus

More information

Quantum Particle Motion in Physical Space

Quantum Particle Motion in Physical Space Adv. Studes Theor. Phys., Vol. 8, 014, no. 1, 7-34 HIKARI Ltd, www.-hkar.co http://dx.do.org/10.1988/astp.014.311136 Quantu Partcle Moton n Physcal Space A. Yu. Saarn Dept. of Physcs, Saara State Techncal

More information

Integral Transforms and Dual Integral Equations to Solve Heat Equation with Mixed Conditions

Integral Transforms and Dual Integral Equations to Solve Heat Equation with Mixed Conditions Int J Open Probles Copt Math, Vol 7, No 4, Deceber 214 ISSN 1998-6262; Copyrght ICSS Publcaton, 214 www-csrsorg Integral Transfors and Dual Integral Equatons to Solve Heat Equaton wth Mxed Condtons Naser

More information

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation Nonl. Analyss and Dfferental Equatons, ol., 4, no., 5 - HIKARI Ltd, www.m-har.com http://dx.do.org/.988/nade.4.456 Asymptotcs of the Soluton of a Boundary alue Problem for One-Characterstc Dfferental Equaton

More information

Lecture 21: Numerical methods for pricing American type derivatives

Lecture 21: Numerical methods for pricing American type derivatives Lecture 21: Numercal methods for prcng Amercan type dervatves Xaoguang Wang STAT 598W Aprl 10th, 2014 (STAT 598W) Lecture 21 1 / 26 Outlne 1 Fnte Dfference Method Explct Method Penalty Method (STAT 598W)

More information

General viscosity iterative method for a sequence of quasi-nonexpansive mappings

General viscosity iterative method for a sequence of quasi-nonexpansive mappings Avalable onlne at www.tjnsa.com J. Nonlnear Sc. Appl. 9 (2016), 5672 5682 Research Artcle General vscosty teratve method for a sequence of quas-nonexpansve mappngs Cuje Zhang, Ynan Wang College of Scence,

More information

Group Analysis of Ordinary Differential Equations of the Order n>2

Group Analysis of Ordinary Differential Equations of the Order n>2 Symmetry n Nonlnear Mathematcal Physcs 997, V., 64 7. Group Analyss of Ordnary Dfferental Equatons of the Order n> L.M. BERKOVICH and S.Y. POPOV Samara State Unversty, 4430, Samara, Russa E-mal: berk@nfo.ssu.samara.ru

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

Excess Error, Approximation Error, and Estimation Error

Excess Error, Approximation Error, and Estimation Error E0 370 Statstcal Learnng Theory Lecture 10 Sep 15, 011 Excess Error, Approxaton Error, and Estaton Error Lecturer: Shvan Agarwal Scrbe: Shvan Agarwal 1 Introducton So far, we have consdered the fnte saple

More information

A Hybrid Variational Iteration Method for Blasius Equation

A Hybrid Variational Iteration Method for Blasius Equation Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 1932-9466 Vol. 10, Issue 1 (June 2015), pp. 223-229 Applcatons and Appled Mathematcs: An Internatonal Journal (AAM) A Hybrd Varatonal Iteraton Method

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2 Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to

More information

A New Refinement of Jacobi Method for Solution of Linear System Equations AX=b

A New Refinement of Jacobi Method for Solution of Linear System Equations AX=b Int J Contemp Math Scences, Vol 3, 28, no 17, 819-827 A New Refnement of Jacob Method for Soluton of Lnear System Equatons AX=b F Naem Dafchah Department of Mathematcs, Faculty of Scences Unversty of Gulan,

More information

Perron Vectors of an Irreducible Nonnegative Interval Matrix

Perron Vectors of an Irreducible Nonnegative Interval Matrix Perron Vectors of an Irreducble Nonnegatve Interval Matrx Jr Rohn August 4 2005 Abstract As s well known an rreducble nonnegatve matrx possesses a unquely determned Perron vector. As the man result of

More information

A fully discrete difference scheme for a diffusion-wave system

A fully discrete difference scheme for a diffusion-wave system Appled Nuercal Matheatcs 56 6) 93 9 www.elsever.co/locate/apnu A fully dscrete dfference schee for a dffuson-wave syste Zh-zhong Sun a Xaonan Wu b a Departent of Matheatcs Southeast Unversty Nanjng 96

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

Solutions for Homework #9

Solutions for Homework #9 Solutons for Hoewor #9 PROBEM. (P. 3 on page 379 n the note) Consder a sprng ounted rgd bar of total ass and length, to whch an addtonal ass s luped at the rghtost end. he syste has no dapng. Fnd the natural

More information

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U) Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of

More information

Ballot Paths Avoiding Depth Zero Patterns

Ballot Paths Avoiding Depth Zero Patterns Ballot Paths Avodng Depth Zero Patterns Henrch Nederhausen and Shaun Sullvan Florda Atlantc Unversty, Boca Raton, Florda nederha@fauedu, ssull21@fauedu 1 Introducton In a paper by Sapounaks, Tasoulas,

More information

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

Modelli Clamfim Equazione del Calore Lezione ottobre 2014 CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g

More information

Finite Element Modelling of truss/cable structures

Finite Element Modelling of truss/cable structures Pet Schreurs Endhoven Unversty of echnology Department of Mechancal Engneerng Materals echnology November 3, 214 Fnte Element Modellng of truss/cable structures 1 Fnte Element Analyss of prestressed structures

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

A MODIFIED METHOD FOR SOLVING SYSTEM OF NONLINEAR EQUATIONS

A MODIFIED METHOD FOR SOLVING SYSTEM OF NONLINEAR EQUATIONS Journal of Mathematcs and Statstcs 9 (1): 4-8, 1 ISSN 1549-644 1 Scence Publcatons do:1.844/jmssp.1.4.8 Publshed Onlne 9 (1) 1 (http://www.thescpub.com/jmss.toc) A MODIFIED METHOD FOR SOLVING SYSTEM OF

More information

CHAPTER 10 ROTATIONAL MOTION

CHAPTER 10 ROTATIONAL MOTION CHAPTER 0 ROTATONAL MOTON 0. ANGULAR VELOCTY Consder argd body rotates about a fxed axs through pont O n x-y plane as shown. Any partcle at pont P n ths rgd body rotates n a crcle of radus r about O. The

More information

6.3.4 Modified Euler s method of integration

6.3.4 Modified Euler s method of integration 6.3.4 Modfed Euler s method of ntegraton Before dscussng the applcaton of Euler s method for solvng the swng equatons, let us frst revew the basc Euler s method of numercal ntegraton. Let the general from

More information

ITERATIVE ESTIMATION PROCEDURE FOR GEOSTATISTICAL REGRESSION AND GEOSTATISTICAL KRIGING

ITERATIVE ESTIMATION PROCEDURE FOR GEOSTATISTICAL REGRESSION AND GEOSTATISTICAL KRIGING ESE 5 ITERATIVE ESTIMATION PROCEDURE FOR GEOSTATISTICAL REGRESSION AND GEOSTATISTICAL KRIGING Gven a geostatstcal regresson odel: k Y () s x () s () s x () s () s, s R wth () unknown () E[ ( s)], s R ()

More information

Binomial transforms of the modified k-fibonacci-like sequence

Binomial transforms of the modified k-fibonacci-like sequence Internatonal Journal of Mathematcs and Computer Scence, 14(2019, no. 1, 47 59 M CS Bnomal transforms of the modfed k-fbonacc-lke sequence Youngwoo Kwon Department of mathematcs Korea Unversty Seoul, Republc

More information

AN ANALYSIS OF A FRACTAL KINETICS CURVE OF SAVAGEAU

AN ANALYSIS OF A FRACTAL KINETICS CURVE OF SAVAGEAU AN ANALYI OF A FRACTAL KINETIC CURE OF AAGEAU by John Maloney and Jack Hedel Departent of Matheatcs Unversty of Nebraska at Oaha Oaha, Nebraska 688 Eal addresses: aloney@unoaha.edu, jhedel@unoaha.edu Runnng

More information

ON THE NUMBER OF PRIMITIVE PYTHAGOREAN QUINTUPLES

ON THE NUMBER OF PRIMITIVE PYTHAGOREAN QUINTUPLES Journal of Algebra, Nuber Theory: Advances and Applcatons Volue 3, Nuber, 05, Pages 3-8 ON THE NUMBER OF PRIMITIVE PYTHAGOREAN QUINTUPLES Feldstrasse 45 CH-8004, Zürch Swtzerland e-al: whurlann@bluewn.ch

More information

Calculus of Variations Basics

Calculus of Variations Basics Chapter 1 Calculus of Varatons Bascs 1.1 Varaton of a General Functonal In ths chapter, we derve the general formula for the varaton of a functonal of the form J [y 1,y 2,,y n ] F x,y 1,y 2,,y n,y 1,y

More information

= m 1. sin π( ai z ) )

= m 1. sin π( ai z ) ) EXACT COVERING SYSTEMS AND THE GAUSS-LEGENDRE MULTIPLICATION FORMULA FOR THE GAMMA FUNCTION John Beeee Unversty of Alaska Anchorage July 0 199 The Gauss-Legendre ultplcaton forula for the gaa functon s

More information

The Impact of the Earth s Movement through the Space on Measuring the Velocity of Light

The Impact of the Earth s Movement through the Space on Measuring the Velocity of Light Journal of Appled Matheatcs and Physcs, 6, 4, 68-78 Publshed Onlne June 6 n ScRes http://wwwscrporg/journal/jap http://dxdoorg/436/jap646 The Ipact of the Earth s Moeent through the Space on Measurng the

More information

XII.3 The EM (Expectation-Maximization) Algorithm

XII.3 The EM (Expectation-Maximization) Algorithm XII.3 The EM (Expectaton-Maxzaton) Algorth Toshnor Munaata 3/7/06 The EM algorth s a technque to deal wth varous types of ncoplete data or hdden varables. It can be appled to a wde range of learnng probles

More information

BAYESIAN CURVE FITTING USING PIECEWISE POLYNOMIALS. Dariusz Biskup

BAYESIAN CURVE FITTING USING PIECEWISE POLYNOMIALS. Dariusz Biskup BAYESIAN CURVE FITTING USING PIECEWISE POLYNOMIALS Darusz Bskup 1. Introducton The paper presents a nonparaetrc procedure for estaton of an unknown functon f n the regresson odel y = f x + ε = N. (1) (

More information

What is LP? LP is an optimization technique that allocates limited resources among competing activities in the best possible manner.

What is LP? LP is an optimization technique that allocates limited resources among competing activities in the best possible manner. (C) 998 Gerald B Sheblé, all rghts reserved Lnear Prograng Introducton Contents I. What s LP? II. LP Theor III. The Splex Method IV. Refneents to the Splex Method What s LP? LP s an optzaton technque that

More information

1 Definition of Rademacher Complexity

1 Definition of Rademacher Complexity COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture #9 Scrbe: Josh Chen March 5, 2013 We ve spent the past few classes provng bounds on the generalzaton error of PAClearnng algorths for the

More information

PROBABILITY AND STATISTICS Vol. III - Analysis of Variance and Analysis of Covariance - V. Nollau ANALYSIS OF VARIANCE AND ANALYSIS OF COVARIANCE

PROBABILITY AND STATISTICS Vol. III - Analysis of Variance and Analysis of Covariance - V. Nollau ANALYSIS OF VARIANCE AND ANALYSIS OF COVARIANCE ANALYSIS OF VARIANCE AND ANALYSIS OF COVARIANCE V. Nollau Insttute of Matheatcal Stochastcs, Techncal Unversty of Dresden, Gerany Keywords: Analyss of varance, least squares ethod, odels wth fxed effects,

More information

% & 5.3 PRACTICAL APPLICATIONS. Given system, (49) , determine the Boolean Function, , in such a way that we always have expression: " Y1 = Y2

% & 5.3 PRACTICAL APPLICATIONS. Given system, (49) , determine the Boolean Function, , in such a way that we always have expression:  Y1 = Y2 5.3 PRACTICAL APPLICATIONS st EXAMPLE: Gven system, (49) & K K Y XvX 3 ( 2 & X ), determne the Boolean Functon, Y2 X2 & X 3 v X " X3 (X2,X)", n such a way that we always have expresson: " Y Y2 " (50).

More information

Inexact Newton Methods for Inverse Eigenvalue Problems

Inexact Newton Methods for Inverse Eigenvalue Problems Inexact Newton Methods for Inverse Egenvalue Problems Zheng-jan Ba Abstract In ths paper, we survey some of the latest development n usng nexact Newton-lke methods for solvng nverse egenvalue problems.

More information

Math 217 Fall 2013 Homework 2 Solutions

Math 217 Fall 2013 Homework 2 Solutions Math 17 Fall 013 Homework Solutons Due Thursday Sept. 6, 013 5pm Ths homework conssts of 6 problems of 5 ponts each. The total s 30. You need to fully justfy your answer prove that your functon ndeed has

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

Optimal Marketing Strategies for a Customer Data Intermediary. Technical Appendix

Optimal Marketing Strategies for a Customer Data Intermediary. Technical Appendix Optal Marketng Strateges for a Custoer Data Interedary Techncal Appendx oseph Pancras Unversty of Connectcut School of Busness Marketng Departent 00 Hllsde Road, Unt 04 Storrs, CT 0669-04 oseph.pancras@busness.uconn.edu

More information

The Parity of the Number of Irreducible Factors for Some Pentanomials

The Parity of the Number of Irreducible Factors for Some Pentanomials The Party of the Nuber of Irreducble Factors for Soe Pentanoals Wolfra Koepf 1, Ryul K 1 Departent of Matheatcs Unversty of Kassel, Kassel, F. R. Gerany Faculty of Matheatcs and Mechancs K Il Sung Unversty,

More information

6.3.7 Example with Runga Kutta 4 th order method

6.3.7 Example with Runga Kutta 4 th order method 6.3.7 Example wth Runga Kutta 4 th order method Agan, as an example, 3 machne, 9 bus system shown n Fg. 6.4 s agan consdered. Intally, the dampng of the generators are neglected (.e. d = 0 for = 1, 2,

More information

Relaxation Methods for Iterative Solution to Linear Systems of Equations

Relaxation Methods for Iterative Solution to Linear Systems of Equations Relaxaton Methods for Iteratve Soluton to Lnear Systems of Equatons Gerald Recktenwald Portland State Unversty Mechancal Engneerng Department gerry@pdx.edu Overvew Techncal topcs Basc Concepts Statonary

More information

Bernoulli Numbers and Polynomials

Bernoulli Numbers and Polynomials Bernoull Numbers and Polynomals T. Muthukumar tmk@tk.ac.n 17 Jun 2014 The sum of frst n natural numbers 1, 2, 3,..., n s n n(n + 1 S 1 (n := m = = n2 2 2 + n 2. Ths formula can be derved by notng that

More information

Beyond Zudilin s Conjectured q-analog of Schmidt s problem

Beyond Zudilin s Conjectured q-analog of Schmidt s problem Beyond Zudln s Conectured q-analog of Schmdt s problem Thotsaporn Ae Thanatpanonda thotsaporn@gmalcom Mathematcs Subect Classfcaton: 11B65 33B99 Abstract Usng the methodology of (rgorous expermental mathematcs

More information

2. PROBLEM STATEMENT AND SOLUTION STRATEGIES. L q. Suppose that we have a structure with known geometry (b, h, and L) and material properties (EA).

2. PROBLEM STATEMENT AND SOLUTION STRATEGIES. L q. Suppose that we have a structure with known geometry (b, h, and L) and material properties (EA). . PROBEM STATEMENT AND SOUTION STRATEGIES Problem statement P, Q h ρ ρ o EA, N b b Suppose that we have a structure wth known geometry (b, h, and ) and materal propertes (EA). Gven load (P), determne the

More information

Spectral method for fractional quadratic Riccati differential equation

Spectral method for fractional quadratic Riccati differential equation Journal of Aled Matheatcs & Bonforatcs vol2 no3 212 85-97 ISSN: 1792-662 (rnt) 1792-6939 (onlne) Scenress Ltd 212 Sectral ethod for fractonal quadratc Rccat dfferental equaton Rostay 1 K Kar 2 L Gharacheh

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

A DISCONTINUOUS LEAST-SQUARES SPATIAL DISCRETIZATION FOR THE S N EQUATIONS. A Thesis LEI ZHU

A DISCONTINUOUS LEAST-SQUARES SPATIAL DISCRETIZATION FOR THE S N EQUATIONS. A Thesis LEI ZHU A DISCONTINUOUS LEAST-SQUARES SPATIAL DISCRETIZATION FOR THE S N EQUATIONS A Thess by LEI ZHU Subtted to the Offce of Graduate Studes of Texas A&M Unversty n partal fulfllent of the requreents for the

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Some modelling aspects for the Matlab implementation of MMA

Some modelling aspects for the Matlab implementation of MMA Some modellng aspects for the Matlab mplementaton of MMA Krster Svanberg krlle@math.kth.se Optmzaton and Systems Theory Department of Mathematcs KTH, SE 10044 Stockholm September 2004 1. Consdered optmzaton

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

Special Relativity and Riemannian Geometry. Department of Mathematical Sciences

Special Relativity and Riemannian Geometry. Department of Mathematical Sciences Tutoral Letter 06//018 Specal Relatvty and Reannan Geoetry APM3713 Seester Departent of Matheatcal Scences IMPORTANT INFORMATION: Ths tutoral letter contans the solutons to Assgnent 06. BAR CODE Learn

More information

Computational and Statistical Learning theory Assignment 4

Computational and Statistical Learning theory Assignment 4 Coputatonal and Statstcal Learnng theory Assgnent 4 Due: March 2nd Eal solutons to : karthk at ttc dot edu Notatons/Defntons Recall the defnton of saple based Radeacher coplexty : [ ] R S F) := E ɛ {±}

More information

By M. O'Neill,* I. G. Sinclairf and Francis J. Smith

By M. O'Neill,* I. G. Sinclairf and Francis J. Smith 52 Polynoal curve fttng when abscssas and ordnates are both subject to error By M. O'Nell,* I. G. Snclarf and Francs J. Sth Departents of Coputer Scence and Appled Matheatcs, School of Physcs and Appled

More information

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis A Appendx for Causal Interacton n Factoral Experments: Applcaton to Conjont Analyss Mathematcal Appendx: Proofs of Theorems A. Lemmas Below, we descrbe all the lemmas, whch are used to prove the man theorems

More information

1 GSW Iterative Techniques for y = Ax

1 GSW Iterative Techniques for y = Ax 1 for y = A I m gong to cheat here. here are a lot of teratve technques that can be used to solve the general case of a set of smultaneous equatons (wrtten n the matr form as y = A), but ths chapter sn

More information

International Journal of Mathematical Archive-9(3), 2018, Available online through ISSN

International Journal of Mathematical Archive-9(3), 2018, Available online through   ISSN Internatonal Journal of Matheatcal Archve-9(3), 208, 20-24 Avalable onlne through www.ja.nfo ISSN 2229 5046 CONSTRUCTION OF BALANCED INCOMPLETE BLOCK DESIGNS T. SHEKAR GOUD, JAGAN MOHAN RAO M AND N.CH.

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

More information

1 Matrix representations of canonical matrices

1 Matrix representations of canonical matrices 1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Modified parallel multisplitting iterative methods for non-hermitian positive definite systems

Modified parallel multisplitting iterative methods for non-hermitian positive definite systems Adv Coput ath DOI 0.007/s0444-0-9262-8 odfed parallel ultsplttng teratve ethods for non-hertan postve defnte systes Chuan-Long Wang Guo-Yan eng Xue-Rong Yong Receved: Septeber 20 / Accepted: 4 Noveber

More information

NON-LINEAR CONVOLUTION: A NEW APPROACH FOR THE AURALIZATION OF DISTORTING SYSTEMS

NON-LINEAR CONVOLUTION: A NEW APPROACH FOR THE AURALIZATION OF DISTORTING SYSTEMS NON-LINEAR CONVOLUTION: A NEW APPROAC FOR TE AURALIZATION OF DISTORTING SYSTEMS Angelo Farna, Alberto Belln and Enrco Armellon Industral Engneerng Dept., Unversty of Parma, Va delle Scenze 8/A Parma, 00

More information

for Linear Systems With Strictly Diagonally Dominant Matrix

for Linear Systems With Strictly Diagonally Dominant Matrix MATHEMATICS OF COMPUTATION, VOLUME 35, NUMBER 152 OCTOBER 1980, PAGES 1269-1273 On an Accelerated Overrelaxaton Iteratve Method for Lnear Systems Wth Strctly Dagonally Domnant Matrx By M. Madalena Martns*

More information

EXACT TRAVELLING WAVE SOLUTIONS FOR THREE NONLINEAR EVOLUTION EQUATIONS BY A BERNOULLI SUB-ODE METHOD

EXACT TRAVELLING WAVE SOLUTIONS FOR THREE NONLINEAR EVOLUTION EQUATIONS BY A BERNOULLI SUB-ODE METHOD www.arpapress.co/volues/vol16issue/ijrras_16 10.pdf EXACT TRAVELLING WAVE SOLUTIONS FOR THREE NONLINEAR EVOLUTION EQUATIONS BY A BERNOULLI SUB-ODE METHOD Chengbo Tan & Qnghua Feng * School of Scence, Shandong

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

,..., k N. , k 2. ,..., k i. The derivative with respect to temperature T is calculated by using the chain rule: & ( (5) dj j dt = "J j. k i.

,..., k N. , k 2. ,..., k i. The derivative with respect to temperature T is calculated by using the chain rule: & ( (5) dj j dt = J j. k i. Suppleentary Materal Dervaton of Eq. 1a. Assue j s a functon of the rate constants for the N coponent reactons: j j (k 1,,..., k,..., k N ( The dervatve wth respect to teperature T s calculated by usng

More information

Section 3.6 Complex Zeros

Section 3.6 Complex Zeros 04 Chapter Secton 6 Comple Zeros When fndng the zeros of polynomals, at some pont you're faced wth the problem Whle there are clearly no real numbers that are solutons to ths equaton, leavng thngs there

More information

The internal structure of natural numbers and one method for the definition of large prime numbers

The internal structure of natural numbers and one method for the definition of large prime numbers The nternal structure of natural numbers and one method for the defnton of large prme numbers Emmanul Manousos APM Insttute for the Advancement of Physcs and Mathematcs 3 Poulou str. 53 Athens Greece Abstract

More information

Army Ants Tunneling for Classical Simulations

Army Ants Tunneling for Classical Simulations Electronc Supplementary Materal (ESI) for Chemcal Scence. Ths journal s The Royal Socety of Chemstry 2014 electronc supplementary nformaton (ESI) for Chemcal Scence Army Ants Tunnelng for Classcal Smulatons

More information

Canonical transformations

Canonical transformations Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,

More information

Iterative General Dynamic Model for Serial-Link Manipulators

Iterative General Dynamic Model for Serial-Link Manipulators EEL6667: Knematcs, Dynamcs and Control of Robot Manpulators 1. Introducton Iteratve General Dynamc Model for Seral-Lnk Manpulators In ths set of notes, we are gong to develop a method for computng a general

More information

Erratum: A Generalized Path Integral Control Approach to Reinforcement Learning

Erratum: A Generalized Path Integral Control Approach to Reinforcement Learning Journal of Machne Learnng Research 00-9 Submtted /0; Publshed 7/ Erratum: A Generalzed Path Integral Control Approach to Renforcement Learnng Evangelos ATheodorou Jonas Buchl Stefan Schaal Department of

More information

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION THE WEIGHTED WEAK TYPE INEQUALITY FO THE STONG MAXIMAL FUNCTION THEMIS MITSIS Abstract. We prove the natural Fefferman-Sten weak type nequalty for the strong maxmal functon n the plane, under the assumpton

More information

Solving 2D-BKDV Equation by a Sub-ODE Method

Solving 2D-BKDV Equation by a Sub-ODE Method Internatonal Conference on Coputer Technology and Scence (ICCTS ) IPCSIT vol 47 () () IACSIT Press Sngapore DOI: 7763/IPCSITV4756 Solvng D-BKDV Equaton by a Sub-ODE Method Bn Zheng + School of Scence Shandong

More information

A FORMULA FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIAGONAL MATRIX

A FORMULA FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIAGONAL MATRIX Hacettepe Journal of Mathematcs and Statstcs Volume 393 0 35 33 FORMUL FOR COMPUTING INTEGER POWERS FOR ONE TYPE OF TRIDIGONL MTRIX H Kıyak I Gürses F Yılmaz and D Bozkurt Receved :08 :009 : ccepted 5

More information

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0 MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector

More information

Finite Vector Space Representations Ross Bannister Data Assimilation Research Centre, Reading, UK Last updated: 2nd August 2003

Finite Vector Space Representations Ross Bannister Data Assimilation Research Centre, Reading, UK Last updated: 2nd August 2003 Fnte Vector Space epresentatons oss Bannster Data Asslaton esearch Centre, eadng, UK ast updated: 2nd August 2003 Contents What s a lnear vector space?......... 1 About ths docuent............ 2 1. Orthogonal

More information

Chapter 4 The Wave Equation

Chapter 4 The Wave Equation Chapter 4 The Wave Equaton Another classcal example of a hyperbolc PDE s a wave equaton. The wave equaton s a second-order lnear hyperbolc PDE that descrbes the propagaton of a varety of waves, such as

More information

Department of Economics, Niigata Sangyo University, Niigata, Japan

Department of Economics, Niigata Sangyo University, Niigata, Japan Appled Matheatcs, 0, 5, 777-78 Publshed Onlne March 0 n ScRes. http://www.scrp.org/journal/a http://d.do.org/0.6/a.0.507 On Relatons between the General Recurrence Forula o the Etenson o Murase-Newton

More information

ACTM State Calculus Competition Saturday April 30, 2011

ACTM State Calculus Competition Saturday April 30, 2011 ACTM State Calculus Competton Saturday Aprl 30, 2011 ACTM State Calculus Competton Sprng 2011 Page 1 Instructons: For questons 1 through 25, mark the best answer choce on the answer sheet provde Afterward

More information