Semi-Analytical Solution of the 1D Helmholtz Equation, Obtained from Inversion of Symmetric Tridiagonal Matrix
|
|
- Naomi Park
- 6 years ago
- Views:
Transcription
1 Journal of Electromagnetc nalyss and pplcatons, 04, 6, Publshed Onlne December 04 n ScRes. Sem-nalytcal Soluton of the D Helmholtz Equaton, Obtaned from Inverson of Symmetrc Trdagonal Matr Sergne Bra Gueye Département de Physque, Faculté des Scences et Technques, Unversté Chekh nta Dop, Dakar-Fann, Sénégal Emal: sbragy@gmal.com Receved October 04; revsed ovember 04; accepted 5 ovember 04 Copyrght 04 by author and Scentfc Research Publshng Inc. Ths work s lcensed under the Creatve Commons ttrbuton Internatonal Lcense (CC BY). bstract n nterestng sem-analytc soluton s gven for the Helmholtz equaton. Ths soluton s obtaned from a rgorous dscusson of the regularty and the nverson of the trdagonal symmetrc matr. Then, applcatons are gven, showng very good accuracy. Ths work provdes also the analytcal nverse of the skew-symmetrc trdagonal matr. Keywords Helmholtz Equaton, Trdagonal Matr, Lnear Homogeneous Recurrence Relaton. Introducton We focus on the nverse of the matr (M) defned n the Equaton () below. We are nterested n applcatons of ths matr, because the latter allows solvng many mportant dfferental equatons n scence and technology, especally mathematcs, physcs, engneerng, chemstry, bology and other dscplnes. The formula of the nverse of (M) was determned n []. But n ths study, a dfferent approach s presented wth a rgourus and complete dscusson of ts regularty and complement, dscussng the regularty of the matr n great detal. In addton, the nverse of the antsymmetrc trdagonal matr s determned analytcally. b a d a b a 0 0 d 0 0 b, = 0 a b 0 d M = = a ( m ),,,,,, 0 0 a a = = = = 0 0 a b a 0 0 d 0, > a b d : = () How to cte ths paper: Gueye, S.B. (04) Sem-nalytcal Soluton of the D Helmholtz Equaton, Obtaned from Inverson of Symmetrc Trdagonal Matr. Journal of Electromagnetc nalyss and pplcatons, 6,
2 b where,, a 0, and d =. In case where a s zero, the nverson of the matr (M) presents no a dffculty. So we wll focus on the matr () and we wll determne the eact form of ts nverse, (B). We proceed as follows: frst, we determne the determnant of () and gve a very detaled dscusson of ts nvertblty. Therefore, we formulate ts nverse analytcally and eactly. Then, we solve the Helmholtz equaton, wth the fnte dfference method, usng the obtaned nverse matr. ddtonally, we treat the skew-symmetrc trdagonal matr and gve the formula of ts nverse.. Determnant of the Matr ().. Characterstc Equaton and Dscrmnant The calculaton of the determnant of () and the dscusson of the estence of ts nverse consttute a very mportant part of ths work. The determnant of () depends on and s denoted. We defne = and 0 = d. We also defne as follows: d = = d. () d By developng the determnant wth respect to the frst row, one fnds that t follows a second-order lnear homogeneous recurrence relaton wth constant coeffcents [] [3]: = d,. (3) The term s the determnant of the submatr of (), obtaned by elmnatng ts frst row and ts frst column. denotes the determnant of the submatr of order, obtaned by deletng the frst two rows and frst two columns of (). The characterstc equaton of the recurrence relaton, gven by the Equaton (3), s: r d r+ = 0. (4) The resoluton of ths Equaton (4) yelds the epresson of n terms of. The solutons of the characterstc equaton are determned by the sgn of the dscrmnant.. Case =0 : d = ± = d 4. The dscrmnant s zero for two values of d : d = or d =. For ths case, the characterstc equaton d admts one double real soluton: r = r = r =. Then, the general epresson of the determnant s: = r ( + B ), (5) where ' and B' are two constants whch are determned takng nto account the frst two terms of the sequence. The constant ' s obtaned by consderng: = r + B = (6) The constant B' s determned n the followng manner: d = r ( + B ) = d = ( + B ) B =. (7) So the determnant of the matr (), n the case where d = ±, s gven by the followng formula: ( ) +, d = = ( ) ( +, ) d = (8) 46
3 The Equaton (8) s the eact formula of, when the dscrmnant of the characterstc equaton s zero. One remarks that, n ths case, the matr () s regular: ts nverse ests. Ths regularty of () can be deduced from the epresson of. Because s postve and therefore, the determnant cannot vansh..3. Case >0 : d > It corresponds to the case where d b = a >. Then, the characterstc Equaton (4) has two dstnct real solutons: The general epresson of the determnant s for ths case: d ± r ± =. (9) = + (0) r B r + The constants ' and B' can be determned, consderng the values of One gets: = + B = 0 = r B r d + + = It holds: Thus, the determnant of () s obtaned: r+ r = and B = for the frst two orders: 0 and. () () Ths equaton s equvalent to: = r r (3) + + d + d 4 d d 4 = d 4 The determnant of () s dfferent from zero, for the consdered case ( d > ). Then, the trdagonal symmetrc matr () s regular and ts nverse ests. The remarkable Equaton (4) gves the determnant of the matr () n the case where the dscrmnant of the characterstc equaton,, s strctly postve. One can verfy, for eample, that for d = 4 and = 3, we get = 56. Ths value can be obtaned wth Equaton (4) 3 or drectly. n observaton of the determnant, for ths case, allows another formulaton of the formula n Equaton (4). Because, one remarks that the determnant s a polynomal and can be developed. It holds: 3 4 = ; = d; = d ; = d d; = d 3d + ; = d 4d + 3 d; = d 5d + 6d ; = d 6d + 0d 4 d; = d 7d + 5d 0d + ; etc. 8 From the analyss of these polynomal epressons, one can demonstrate usng mathematcal nducton that the determnant gven by the Equaton (4) can be formulated as follows: [ ] = ( ) d, = 0 (4) (5) where [/] est equvalent to ( dv ). Ths latter formula n Equaton (5) s gven n []. But, we prefer the 47
4 formulaton of Equaton (4) for two reasons. The frst s that we look for a matr nverse. Then, t s mportant to know about the annulaton of the determnant. Choosng the Equaton (5) means that we have to search the zero of the polynomals, to know the nvertblty of the matr. Whle the Equaton (4) shows clearly that the determnant does not vansh and thus, the matr () s regular. The second reason to prefer Equaton (4) to Equaton (5) s that programmng the Equaton (4) s more confortable than programmng Equaton (5). Because the latter needs loops for the sum, and t also needs recursons for the bnomal coeffcents..4. Case <0 : d < b It corresponds to the case where < d = <. Then, the characterstc Equaton (4) admts two comple a conugate solutons: d ± r ± =. (6) These solutons r + and r belong to the comple unt crcle. Because ther magntude s equal to unty: r ± =. Therefore, they can be wrtten n the followng manner: wth r = ± θ ± e, (7) atan, 0 d d < < θ = π + atan, d 0 d < < π, d 0 ± ± = (8) Then, the general epresson of s: ( θ) sn ( θ) = cos + B (9) The constants ' and B' are determned consderng and 0. = = et = cos( θ) + B sn ( θ) = d B = d = cot ( θ). 0 One obtans the followng relaton that gves the determnant of (), n the case where d < : Regularty of the Matr () for ( d < ) ( θ) ( θ) ( θ) = cos + cot sn In ths case, the regularty of () has to be studed. One solves: ( θ) ( θ) ( θ) (0) = cos + cot sn = 0 () Ths Equaton () admts solutons θ = θk that nullfy the determnant of the matr (). These solutons are: 48
5 k 4 d k θk = π = atan, k =,,,. () + d k For these values of θ = θk, correspondng to d = dk, the determnant of the matr () s zero and therefore ts nverse does not est. Ths result s very nterestng. Because t shows that the egenvalues λ k of the matr can be epressed n the followng manner: In the treated case ( 0 d ) k λk = d cos π, k =,,,. (3) + < <, the nverse of the matr () does not est for k d = dk = cos π, k =,,,. So any formulaton of the nverse for the consdered case should e- + clude sub-cases where d takes one of the values d k. Because for such values of d, the matr () s not regular. Specal Case d = 0 Ths corresponds to =. In ths case, we have: r = ± ± ; so π θ = ±. The determnant of the matr () s: p π, = p = cos, p,, 3, = = (4) 0, = p+ The Equaton (4) s a very nterestng result. Frst, t gves the eact formula of determnant for the case where d s zero. In addton, t shows that the matr for ths case s regular for even, and non-reversble for odd. So, we can always guarantee the estence of the nverse matr (), takng an even number of mesh nodes. What deserves to be emphaszed s that for odd, 0 s an egenvalue of the matr (). π d = 0 = d = λ and θ = = θ. (5) Ths closes the dscusson of the determnant of a symmetrc trdagonal matr, smlar to the (M). ll cases were studed n a very detaled manner. In each of these cases, the eact value of the determnant of () s gven and ts regularty has been wdely dscussed. 3. Inverse of the Matr Before startng the determnaton of the nverse of the matr (), t s approprate to dscuss ts propertes. The symmetres of () wll be found n ts nverse (B). Frst, the matr () s symmetrc: a = a. So ts nverse s symmetrc: b = b. In addton, () s persymmetrc.e. t s symmetrcal n relaton to ts ant-dagonal. Ths property also appears n ts nverse, (B): b = b +, +. These two propertes show that the matr (B) s determned when one fourth of ts elements s known. Determnng (B) means to determne the cofactor matr of (). Whle these cofactors are obtaned usng determnants of submatrces of (), t s not dffcult to determne them. Because, a detaled work has been done n the prevous secton, concernng the determnant of () and ts submatrces. Thus, t s easy to see that: cof =. In the same way, t holds: cof =. One has cof = ; and for every element of the frst lne of (B), we have: cof = and: + b = b=, =,,,. (6) So the frst and last lnes, and also the frst and last columns of the matr (B) are known eactly usng the 49
6 symmetry and the persymmetry matr (). We remember the prevous secton gves the formulas of all the determnants. The matr (B) beng the nverse of (), ts components satsfy the followng relatons: d b + b = δ b + d b + b + = δ, <, <, b + d b = δ where δ s the Kronecker s delta. From the frst lne of Equaton (7), t s possble to obtan the second column of the matr (B) from the frst column, whch s already known. Then, wth the symmetry of the matr (B), we have: (7) b = d b = b,. (8) Wth the symmetry and the persymmetry of (B), we also have: b,. = b = b, + = b +, (9) The second lne of Equaton (7) allows to fnd the elements of the thrd row and the thrd column of the matr (B): Consderng the Equaton (8), the followng relaton s obtaned: b + d b + b3 = 0, 3. (30) b = d b = b, 3. (3) 3 The second lne of Equaton (7) also allows to fnd the elements of the fourth row and the fourth column of (B): b + d b3 + b4 = 0, 4. (3) Consderng the Equatons (8) and (3), the followng relaton s obtaned: 3 b = d d b = b, 4. (33) 4 3 The analyss of each element of the matr (B) leads to the complete and eact formulaton of ths remarkable matr: b = b,. (34) The Equaton (34), combned wth the Equaton (6), gves: + b = ( ),. (35) The Equaton (35) determnes all the elements of the upper trangle of the matr (B). So the symmetry of the matr allows to get the closed form of (B), nverse of the symmetrc trdagonal the matr (). Thus, (B) s known and each of ts components s gven by the followng equaton: + ( ), b =,, + ( ), > Ths beautful relatons s very mportant. It s an nterestng result to solve any dfferental equaton whose dscretzaton leads to algebrac equatons of the form + + d + = f, =,,,. It s clear that effectve solutons for such equatons est. But, the eact formulaton of ths matr (B) allow us to avod 430
7 nverson methods that use the RHS. However, t deserves to be precsed that the formula of the Equaton (36) s not new. Indeed, t has already been determned n []. But the present study follows another approach and addtonally provdes a deeper and complete dscusson of the regularty of (): ths work completes the study n []. s applcaton, we wll solve the Helmholtz equaton, whch s a very mportant equaton n physcs, usng the matr (B). We could also take the equaton of heat dffuson and the Posson equaton. But we prefer the former, whch corresponds to the wave equaton for harmonc ectaton. 4. pplcaton wth the Resoluton of Helmholtz Equaton Knowng the matr (B) allows to solve all the boundary problems posed n followng manner: c f, ] a, b[ ( a), ( b) + = = a = b s a scalar feld that obeys to the Helmholtz equaton (or to the harmonc heat dffuson equaton). Ths latter corresponds to the wave equaton for harmonc ectaton. The boundary condtons are of frst knd: Drchlet-Drchlet.e. ( a) = a and ( b) = b. The RHS, f, s a specfed functon. The constant k s also known. We consder an one-dmensonal mesh wth + dscrete ponts ( ). Each pont ( ) s defned by b a =, where = = h beng the step sze. We defne, f = f, = 0,,, +. + The applcaton of the fnte dfference method to the Equaton (36), wth the centered dfference appro- O h, leads to the followng algebrac system of equatons [4]-[6]: maton where d = + c h. Thus, one gets n matr form where the vector F s defned by: Thus, t holds ( B) d + h f,,,, (36) + + = = (37) d h f a d h f 0 d h f d 0 4 h f d =, 5 h f h f d h f b : = : = : = F F = h f F = h f F = h f = (39) a, b, and,,3,,. = F. The soluton at pont = Ths can be epressed n the followng form (38) s gven by a smple matr-vector multplcaton: = b F, =,,,. (40) = b F + b F, =,,,. = = + (4) 43
8 whch gves fnally: ( ),,,,. (4) = F + F = = = + Ths Equaton (4) gves the soluton One can also defne at mesh pont. µ = mn (, ) = + and ν = sup (, ) = + + (43) Then, each element b of the matr (B) s gven by: Thus, each soluton at pont + µ µ b = ( ),, =,,,. (44) ( ) can be wrtten: = F, =,,,. (45) µ µ = The Equatons (4) and (45) are two forms of soluton of the Helmholtz equaton. Each of these two forms can be mplemented smply and elegantly n a source code. 5. umercal Results the Dfferent Cases The dfferent studed cases are consdered to llustrate the effcent of the proposed approach that s based on the eact nverson of the mportant matr (). Logcally, ths method s stable robust and very accurate. Because the method of nverson does not use the RHS of the dfferental equaton. For applcatons the value a = 0 and b = have been chosen. The relatve error ε ( ) at each pont s defned by the followng relaton: ε = FDM eact ( ) eact The average relatve error ε ( ), s computed, accordng the formula: 5.. Results for =0 : d = ε = ε (46) = (47) Sub-Case = 0 and d = The sub-case where d = s consdered. Ths corresponds to c = 0 and the dfferental equaton becomes the Posson s one; whch we dscussed n [] [4]. Here, we chose = 0. The results are presented n the Table. 7 It holds, for the consdered case: ε ( 0) Sub-Case = 0 and d = + 4 For ths sub-case, we have d = +. The constante c s dfferent from zero and s: c =. The dfferental h equaton can be an Helmholtz or an Heat Dffuson s equaton or any other dfferental equaton, dscrbed by Equaton (37). The results are presented n the Table, wth = 0. 0 Ths results are very accurate and the average relatve error s: ε ( 0) One remarks that t more accurate than the prevous case, whch dealt wth an ellptc equaton: the Posson s one. 5.. Results for >0 : d > 43
9 5.5 The Equaton (4) gves the formula of the determnant. Takng c =, one gets: d = 7.5. Then, the h results, gven by the Table 3, are obtaned for = 0 : 0 The average relatve error s: ε ( 0) Table. Results for sub-case = 0 and d =. FDM eact ε ( 00 ) E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E 0008 Table. Results for sub-case = 0 and d = +. FDM eact ε ( 00 ) E E E E E E E E E E E E E E E E E E E E E E E E E E E E
10 E E E E E E E E E E E E 00 Contnued E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E 000 Table 3. Results for > 0 : d >. FDM eact ε ( 00 ) E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E
11 E E E E E E E E E E E E E E E E Results for <0 : d < Results for = 4 : d = 0 s dscussed prevously, an even s adequate for ths case. We have chosen = 00. Of course, and we have c = n order to get d = 0. The results are shown n the Table 4. h 0 The average relatve error s: ε Results for < 0 and 0< d < 3.5 We have chosen = 00, c =. Thus, we get d =.5. The obtaned results are shown n the Table 5 h below. 0 The average relatve error s: ε ( 00) Results for <0 and < d < 0.7 Here, we chose = 00, c =. Thus, we get d = 0.3. The obtaned results are shown n the Table 6. h 0 The average relatve error s: ε Table 4. Results for < 0 : d <. FDM eact ε ( 00 ) E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E
12 E E E E E E E E E E E E E E E E E E E E 000 Table 5. Results for < 0 and 0< d <. FDM eact ε ( 00 ) E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E 000 Table 6. Results for < 0 and < d < 0. FDM eact ε ( 00 ) E E E E E E E E E E E E E E E E E E E E E E E E
13 E E E E E E E E E E E E E E E E 000 Contnued E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E E Inverse of the Trdagonal ntsymmetrc (Skew-Symmetrc) Matr We gve here, addtonally, the nverse of the trdagonal antsymmetrc matr: M b a d a b a 0 0 d a b 0 d = = a, a a b a 0 0 d a b d rgung as we dd wth the matr (), we get the characterstc equaton to obtan the determnant of ( ) : The dscrmnant r : = (48) d r = 0. (49) = d + 4 and s strctly postve. Thus, the determnant of as the Equaton (4), wth the correspondng dscrmnant of the characterstc equaton for ( ) : ( = d + 4) : = d, and for, t holds: 0 =, + + d + d + 4 d d + 4 = d + 4 has the same form One can remark that ( ) s regular for any value of d dfferent from zero. f d s zero and s odd, then the nverse of ( ) does not est. 437
14 Then, the nverse of ( ) that we denote, > B s gven by the followng relaton:, b =,, The correspondng applcatons for the nverse matr ( B ) are dfferental equatons whose dscretzaton leads to algebrac equatons of the form + d = f, =,,,. 7. Concluson + Ths study has gven the sem-analytcal soluton of each equaton dfferental whose dscretzaton leads to algebrac equatons of the form + + d ± = f, =,,,. The estence of the nverse of the dscretzaton matrces s wdely dscussed. The presented approach s stable and gves very accurate results. The consdered boundary problems are Drchlet type. References [] Hu, G.Y. and O Connell, R.F. (996) nalytcal Inverson of Symmetrc Trdagonal Matrces. Journal of Physcs, 9, [] Rosen, K.H. (00) Handbook of Dscrete and Combnatoral Mathematcs. nd Edton, Chapman & Hall/CRC, UK, 79. [3] Epp, S.S. (0) Dscrete Mathematcs wth pplcatons. 4th Edton, Brooks/Cole Cengage Learnng, Boston, [4] Gueye, S.B. (04) The Eact Formulaton of the Inverse of the Trdagonal Matr for Solvng the D Posson Equaton wth the Fnte Dfference Method. Journal of Electromagnetc nalyss and pplcaton, 6, [5] Engeln-Muellges, G. and Reutter, F. (99) Formelsammlung zur umerschen Mathematk mt QuckBasc-Programmen. Drtte uflage, BI-Wssenchaftsverlag, [6] LeVeque, R.J. (007) Fnte Dfference Method for Ordnary and Partal Dfferental Equatons, Steady State and Tme Dependent Problems. SIM, Phladelpha
The Exact Formulation of the Inverse of the Tridiagonal Matrix for Solving the 1D Poisson Equation with the Finite Difference Method
Journal of Electromagnetc Analyss and Applcatons, 04, 6, 0-08 Publshed Onlne September 04 n ScRes. http://www.scrp.org/journal/jemaa http://dx.do.org/0.46/jemaa.04.6000 The Exact Formulaton of the Inverse
More informationNON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS
IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc
More informationThe Order Relation and Trace Inequalities for. Hermitian Operators
Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence
More informationChapter 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 informationLecture 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 informationLectures - 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 informationA 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 informationCHAPTER 4. Vector Spaces
man 2007/2/16 page 234 CHAPTER 4 Vector Spaces To crtcze mathematcs for ts abstracton s to mss the pont entrel. Abstracton s what makes mathematcs work. Ian Stewart The man am of ths tet s to stud lnear
More informationON 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 informationOne-sided finite-difference approximations suitable for use with Richardson extrapolation
Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,
More informationBeyond 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 informationSalmon: 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 informationFormulas for the Determinant
page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use
More informationApplied 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 informationDifference 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 informationLecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES
COMPUTATIONAL FLUID DYNAMICS: FDM: Appromaton of Second Order Dervatves Lecture APPROXIMATION OF SECOMD ORDER DERIVATIVES. APPROXIMATION OF SECOND ORDER DERIVATIVES Second order dervatves appear n dffusve
More informationMMA 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 informationNumerical Solutions of a Generalized Nth Order Boundary Value Problems Using Power Series Approximation Method
Appled Mathematcs, 6, 7, 5-4 Publshed Onlne Jul 6 n ScRes. http://www.scrp.org/journal/am http://.do.org/.436/am.6.77 umercal Solutons of a Generalzed th Order Boundar Value Problems Usng Power Seres Approxmaton
More informationA 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 informationLECTURE 9 CANONICAL CORRELATION ANALYSIS
LECURE 9 CANONICAL CORRELAION ANALYSIS Introducton he concept of canoncal correlaton arses when we want to quantfy the assocatons between two sets of varables. For example, suppose that the frst set of
More informationarxiv: v1 [math.co] 12 Sep 2014
arxv:1409.3707v1 [math.co] 12 Sep 2014 On the bnomal sums of Horadam sequence Nazmye Ylmaz and Necat Taskara Department of Mathematcs, Scence Faculty, Selcuk Unversty, 42075, Campus, Konya, Turkey March
More informationAsymptotics 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 informationConvexity 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 informationSection 8.3 Polar Form of Complex Numbers
80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationME 501A Seminar in Engineering Analysis Page 1
umercal Solutons of oundary-value Problems n Os ovember 7, 7 umercal Solutons of oundary- Value Problems n Os Larry aretto Mechancal ngneerng 5 Semnar n ngneerng nalyss ovember 7, 7 Outlne Revew stff equaton
More informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationSolution 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 informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationSome Comments on Accelerating Convergence of Iterative Sequences Using Direct Inversion of the Iterative Subspace (DIIS)
Some Comments on Acceleratng Convergence of Iteratve Sequences Usng Drect Inverson of the Iteratve Subspace (DIIS) C. Davd Sherrll School of Chemstry and Bochemstry Georga Insttute of Technology May 1998
More informationRestricted divisor sums
ACTA ARITHMETICA 02 2002) Restrcted dvsor sums by Kevn A Broughan Hamlton) Introducton There s a body of work n the lterature on varous restrcted sums of the number of dvsors of an nteger functon ncludng
More information= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system.
Chapter Matlab Exercses Chapter Matlab Exercses. Consder the lnear system of Example n Secton.. x x x y z y y z (a) Use the MATLAB command rref to solve the system. (b) Let A be the coeffcent matrx and
More informationUnit 5: Quadratic Equations & Functions
Date Perod Unt 5: Quadratc Equatons & Functons DAY TOPIC 1 Modelng Data wth Quadratc Functons Factorng Quadratc Epressons 3 Solvng Quadratc Equatons 4 Comple Numbers Smplfcaton, Addton/Subtracton & Multplcaton
More informationU.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017
U.C. Berkeley CS94: Beyond Worst-Case Analyss Handout 4s Luca Trevsan September 5, 07 Summary of Lecture 4 In whch we ntroduce semdefnte programmng and apply t to Max Cut. Semdefnte Programmng Recall that
More informationCausal Diamonds. M. Aghili, L. Bombelli, B. Pilgrim
Causal Damonds M. Aghl, L. Bombell, B. Plgrm Introducton The correcton to volume of a causal nterval due to curvature of spacetme has been done by Myrhem [] and recently by Gbbons & Solodukhn [] and later
More informationSection 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 informationYong 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 informationTransfer 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 information1 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 informationImportant Instructions to the Examiners:
Summer 0 Examnaton Subject & Code: asc Maths (70) Model Answer Page No: / Important Instructons to the Examners: ) The Answers should be examned by key words and not as word-to-word as gven n the model
More informationProf. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model
EXACT OE-DIMESIOAL ISIG MODEL The one-dmensonal Isng model conssts of a chan of spns, each spn nteractng only wth ts two nearest neghbors. The smple Isng problem n one dmenson can be solved drectly n several
More informationModule 3: Element Properties Lecture 1: Natural Coordinates
Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers
More informationAn efficient algorithm for multivariate Maclaurin Newton transformation
Annales UMCS Informatca AI VIII, 2 2008) 5 14 DOI: 10.2478/v10065-008-0020-6 An effcent algorthm for multvarate Maclaurn Newton transformaton Joanna Kapusta Insttute of Mathematcs and Computer Scence,
More information2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification
E395 - Pattern Recognton Solutons to Introducton to Pattern Recognton, Chapter : Bayesan pattern classfcaton Preface Ths document s a soluton manual for selected exercses from Introducton to Pattern Recognton
More informationThe 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 informationAn identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites
IOP Conference Seres: Materals Scence and Engneerng PAPER OPE ACCESS An dentfcaton algorthm of model knetc parameters of the nterfacal layer growth n fber compostes o cte ths artcle: V Zubov et al 216
More informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
More information3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X
Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number
More informationAPPENDIX A Some Linear Algebra
APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,
More informationAppendix B. The Finite Difference Scheme
140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton
More informationLinear Approximation with Regularization and Moving Least Squares
Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...
More informationDigital Signal Processing
Dgtal Sgnal Processng Dscrete-tme System Analyss Manar Mohasen Offce: F8 Emal: manar.subh@ut.ac.r School of IT Engneerng Revew of Precedent Class Contnuous Sgnal The value of the sgnal s avalable over
More informationRandom Walks on Digraphs
Random Walks on Dgraphs J. J. P. Veerman October 23, 27 Introducton Let V = {, n} be a vertex set and S a non-negatve row-stochastc matrx (.e. rows sum to ). V and S defne a dgraph G = G(V, S) and a drected
More informationSrednicki Chapter 34
Srednck Chapter 3 QFT Problems & Solutons A. George January 0, 203 Srednck 3.. Verfy that equaton 3.6 follows from equaton 3.. We take Λ = + δω: U + δω ψu + δω = + δωψ[ + δω] x Next we use equaton 3.3,
More information2.3 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 informationSome 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 informationA property of the elementary symmetric functions
Calcolo manuscrpt No. (wll be nserted by the edtor) A property of the elementary symmetrc functons A. Esnberg, G. Fedele Dp. Elettronca Informatca e Sstemstca, Unverstà degl Stud della Calabra, 87036,
More informationGeorgia Tech PHYS 6124 Mathematical Methods of Physics I
Georga Tech PHYS 624 Mathematcal Methods of Physcs I Instructor: Predrag Cvtanovć Fall semester 202 Homework Set #7 due October 30 202 == show all your work for maxmum credt == put labels ttle legends
More informationNew Method for Solving Poisson Equation. on Irregular Domains
Appled Mathematcal Scences Vol. 6 01 no. 8 369 380 New Method for Solvng Posson Equaton on Irregular Domans J. Izadan and N. Karamooz Department of Mathematcs Facult of Scences Mashhad BranchIslamc Azad
More informationHongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k)
ISSN 1749-3889 (prnt), 1749-3897 (onlne) Internatonal Journal of Nonlnear Scence Vol.17(2014) No.2,pp.188-192 Modfed Block Jacob-Davdson Method for Solvng Large Sparse Egenproblems Hongy Mao, College of
More informationn 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 informationThe binomial transforms of the generalized (s, t )-Jacobsthal matrix sequence
Int. J. Adv. Appl. Math. and Mech. 6(3 (2019 14 20 (ISSN: 2347-2529 Journal homepage: www.jaamm.com IJAAMM Internatonal Journal of Advances n Appled Mathematcs and Mechancs The bnomal transforms of the
More informationSL n (F ) Equals its Own Derived Group
Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu
More informationThe exponential map of GL(N)
The exponental map of GLN arxv:hep-th/9604049v 9 Apr 996 Alexander Laufer Department of physcs Unversty of Konstanz P.O. 5560 M 678 78434 KONSTANZ Aprl 9, 996 Abstract A fnte expanson of the exponental
More informationGlobal Sensitivity. Tuesday 20 th February, 2018
Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values
More informationLinear Algebra and its Applications
Lnear Algebra and ts Applcatons 4 (00) 5 56 Contents lsts avalable at ScenceDrect Lnear Algebra and ts Applcatons journal homepage: wwwelsevercom/locate/laa Notes on Hlbert and Cauchy matrces Mroslav Fedler
More informationMEM 255 Introduction to Control Systems Review: Basics of Linear Algebra
MEM 255 Introducton to Control Systems Revew: Bascs of Lnear Algebra Harry G. Kwatny Department of Mechancal Engneerng & Mechancs Drexel Unversty Outlne Vectors Matrces MATLAB Advanced Topcs Vectors A
More informationCSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography
CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve
More informationProjective change between two Special (α, β)- Finsler Metrics
Internatonal Journal of Trend n Research and Development, Volume 2(6), ISSN 2394-9333 www.jtrd.com Projectve change between two Specal (, β)- Fnsler Metrcs Gayathr.K 1 and Narasmhamurthy.S.K 2 1 Assstant
More informationComposite Hypotheses testing
Composte ypotheses testng In many hypothess testng problems there are many possble dstrbutons that can occur under each of the hypotheses. The output of the source s a set of parameters (ponts n a parameter
More information= z 20 z n. (k 20) + 4 z k = 4
Problem Set #7 solutons 7.2.. (a Fnd the coeffcent of z k n (z + z 5 + z 6 + z 7 + 5, k 20. We use the known seres expanson ( n+l ( z l l z n below: (z + z 5 + z 6 + z 7 + 5 (z 5 ( + z + z 2 + z + 5 5
More informationOn the correction of the h-index for career length
1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More informationCME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 13
CME 30: NUMERICAL LINEAR ALGEBRA FALL 005/06 LECTURE 13 GENE H GOLUB 1 Iteratve Methods Very large problems (naturally sparse, from applcatons): teratve methods Structured matrces (even sometmes dense,
More informationModule 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 informationALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION
ANALELE ŞTIINŢIFICE ALE UNIVERSITĂŢII AL.I. CUZA DIN IAŞI (S.N.) MATEMATICĂ, Tomul LIX, 013, f.1 DOI: 10.478/v10157-01-00-y ALGORITHM FOR THE CALCULATION OF THE TWO VARIABLES CUBIC SPLINE FUNCTION BY ION
More information12. The Hamilton-Jacobi Equation Michael Fowler
1. The Hamlton-Jacob Equaton Mchael Fowler Back to Confguraton Space We ve establshed that the acton, regarded as a functon of ts coordnate endponts and tme, satsfes ( ) ( ) S q, t / t+ H qpt,, = 0, and
More informationA 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 informationThis column is a continuation of our previous column
Comparson of Goodness of Ft Statstcs for Lnear Regresson, Part II The authors contnue ther dscusson of the correlaton coeffcent n developng a calbraton for quanttatve analyss. Jerome Workman Jr. and Howard
More informationInductance Calculation for Conductors of Arbitrary Shape
CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors
More informationDUE: WEDS FEB 21ST 2018
HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant
More information1 Introduction We consider a class of singularly perturbed two point singular boundary value problems of the form: k x with boundary conditions
Lakshm Sreesha Ch. Non Standard Fnte Dfference Method for Sngularly Perturbed Sngular wo Pont Boundary Value Problem usng Non Polynomal Splne LAKSHMI SIREESHA CH Department of Mathematcs Unversty College
More informationCHAPTER 14 GENERAL PERTURBATION THEORY
CHAPTER 4 GENERAL PERTURBATION THEORY 4 Introducton A partcle n orbt around a pont mass or a sphercally symmetrc mass dstrbuton s movng n a gravtatonal potental of the form GM / r In ths potental t moves
More informationCHAPTER 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 informationIntroduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:
CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and
More information9. Complex Numbers. 1. Numbers revisited. 2. Imaginary number i: General form of complex numbers. 3. Manipulation of complex numbers
9. Comple Numbers. Numbers revsted. Imagnar number : General form of comple numbers 3. Manpulaton of comple numbers 4. The Argand dagram 5. The polar form for comple numbers 9.. Numbers revsted We saw
More informationThe Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices
Internatonal Mathematcal Forum, Vol 11, 2016, no 11, 513-520 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/mf20166442 The Jacobsthal and Jacobsthal-Lucas Numbers va Square Roots of Matrces Saadet Arslan
More informationInner Product. Euclidean Space. Orthonormal Basis. Orthogonal
Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,
More informationHowever, since P is a symmetric idempotent matrix, of P are either 0 or 1 [Eigen-values
Fall 007 Soluton to Mdterm Examnaton STAT 7 Dr. Goel. [0 ponts] For the general lnear model = X + ε, wth uncorrelated errors havng mean zero and varance σ, suppose that the desgn matrx X s not necessarly
More informationFundamental loop-current method using virtual voltage sources technique for special cases
Fundamental loop-current method usng vrtual voltage sources technque for specal cases George E. Chatzaraks, 1 Marna D. Tortorel 1 and Anastasos D. Tzolas 1 Electrcal and Electroncs Engneerng Departments,
More information1 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 information2 More examples with details
Physcs 129b Lecture 3 Caltech, 01/15/19 2 More examples wth detals 2.3 The permutaton group n = 4 S 4 contans 4! = 24 elements. One s the dentty e. Sx of them are exchange of two objects (, j) ( to j and
More information332600_08_1.qxp 4/17/08 11:29 AM Page 481
336_8_.qxp 4/7/8 :9 AM Page 48 8 Complex Vector Spaces 8. Complex Numbers 8. Conjugates and Dvson of Complex Numbers 8.3 Polar Form and DeMovre s Theorem 8.4 Complex Vector Spaces and Inner Products 8.5
More information5 The Rational Canonical Form
5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces
More informationChapter 9: Statistical Inference and the Relationship between Two Variables
Chapter 9: Statstcal Inference and the Relatonshp between Two Varables Key Words The Regresson Model The Sample Regresson Equaton The Pearson Correlaton Coeffcent Learnng Outcomes After studyng ths chapter,
More informationAdditional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty
Addtonal Codes usng Fnte Dfference Method Benamn Moll 1 HJB Equaton for Consumpton-Savng Problem Wthout Uncertanty Before consderng the case wth stochastc ncome n http://www.prnceton.edu/~moll/ HACTproect/HACT_Numercal_Appendx.pdf,
More informationarxiv: v1 [math.ho] 18 May 2008
Recurrence Formulas for Fbonacc Sums Adlson J. V. Brandão, João L. Martns 2 arxv:0805.2707v [math.ho] 8 May 2008 Abstract. In ths artcle we present a new recurrence formula for a fnte sum nvolvng the Fbonacc
More informationHigh resolution entropy stable scheme for shallow water equations
Internatonal Symposum on Computers & Informatcs (ISCI 05) Hgh resoluton entropy stable scheme for shallow water equatons Xaohan Cheng,a, Yufeng Ne,b, Department of Appled Mathematcs, Northwestern Polytechncal
More informationCHAPTER-5 INFORMATION MEASURE OF FUZZY MATRIX AND FUZZY BINARY RELATION
CAPTER- INFORMATION MEASURE OF FUZZY MATRI AN FUZZY BINARY RELATION Introducton The basc concept of the fuzz matr theor s ver smple and can be appled to socal and natural stuatons A branch of fuzz matr
More informationThe Finite Element Method: A Short Introduction
Te Fnte Element Metod: A Sort ntroducton Wat s FEM? Te Fnte Element Metod (FEM) ntroduced by engneers n late 50 s and 60 s s a numercal tecnque for solvng problems wc are descrbed by Ordnary Dfferental
More information