The Three-Body Coulomb Potential Polynomials ABSTRACT

Size: px
Start display at page:

Download "The Three-Body Coulomb Potential Polynomials ABSTRACT"

Transcription

1 Malaysa Joural of Mathematcal Sceces (): - (00) The Three-Body Coulomb Potetal Polyomals Agus Kartoo ad Mustafa Mamat Laboratory for Theoretcal ad Computatoal Physcs, Departmet of Physcs, Faculty of Mathematcal ad Natural Sceces, Isttut Pertaa Bogor, Kampus IPB Darmaga, Bogor 660, Idoesa. Departmet of Mathematcs, Faculty of Sceces ad Techology, Uverst Malaysa Tereggau, 00 K. Tereggau. Malaysa. E-mal: akartoo@pb.ac.d, mus@umt.edu.my ABSTRACT I ths paper, we preset a geeral aalyss of the three-body Coulomb potetal polyomals. We show why the three-body Coulomb wave fuctos expaso a o-orthogoal Laguerre-type fucto bass gves two modfed Pollaczek polyomals. The froze-core model s used to exame the three-body Coulomb Hamltoa. The resultg three-term recurrece relato s a specal case of the Pollaczek polyomals whch s a set of orthogoal polyomals havg a oempty cotuous spectrum addto to a fte dscrete spectrum. The completeess of the three-body Coulomb wave fuctos s further studed for dfferet Laguerre bass sze. Keywords: three-body Coulomb, o-orthogoal Laguerre, Pollaczek polyomal, froze-core model INTRODUCTION I atomc ad uclear scatterg, t s ofte desrable to use Slater or oscllator fucto as a bass fucto. Heller ad Yama [] have preseted a ew method for performg scatterg calculatos etrely wth squaretegrable (L ) fuctos. They developed techques whch they attempted to take full advatage of the aalytc propertes of a gve Hamltoa ad also of the L fucto bass whch was used to descrbe the wave fuctos. They developed the basc theory usg o-orthogoal Laguerre-type fucto bass approprate for s-wave scatterg. A L dscretzato of the radal two-body Coulomb problem has bee gve by Yama ad Rehardt []. They preseted the relatoshp betwee the matrx egevalues of the L operator wth a cotuous spectrum, ad the assocated Gaussa quadrature was dscussed for the radal ketc eergy ad for the repulsve ad attractve Coulomb Hamltoas. It was show that dscretzato of the radal ketc eergy

2 Agus Kartoo & Mustafa Mamat a o-orthogoal Laguerre-type fucto bass gave a Ultrasphercal (Gegebauer) polyomal, whle dscretzato a oscllator-type bass geerated a Laguerre polyomal. They showed that o-orthogoal Laguerre-type fucto bass dscretzato of the Coulomb problem gave a Pollaczek polyomal the repulsve case ad a ew modfed Pollaczek polyomal the attractve case. The Coulomb problem, wth a attractve potetal, s kow to have a fte umber of boud states as well as a oempty cotuous spectrum. These suggest that the polyomals correspodg to the attractve Coulomb potetal wll be orthogoal wth respect to a dstrbuto fucto havg a absolutely cotuous compoet ad ftely may dscotutes. Board [] proved that the equvalet quadrature Fredholm determat ad the J-matrx method are essetally equvalet, yeldg the same result from the same approprate treatmet of the potetal ad exact treatmet of ketc eergy operator. It was show that relatg the spacg of the pseudostate egevalues to the relatve ormalzato of the pseudostate ad actual cotuum matrx elemets provded a alteratve to the Steltjes magg method. Board [] has also appled the bass of Yama ad Rehardt [] ad Gaussa quadrature based Pollaczek polyomals for calculatg two-photo processes hydroge. A ew expaso of the radal two-body Coulomb wave fuctos a orthogoal Laguerre-type fucto bass was later preseted by Stelbovcs []. It was show [6, 7] that the orthogoal Laguerre-type fucto bass could be drectly appled to the coupled-chaels formulato of electro-hydroge ad electro-helum scatterg. The purpose of ths paper s to preset a ew expaso of the threebody Coulomb wave fuctos a o-orthogoal Laguerre-type fucto bass. The froze-core model [6, 7] s used to calculate the three-body Coulomb Hamltoa. It s show that dscretzato of the radal ketc eergy ad the Coulomb problem the attractve case for the helum groud state (s) gve the modfed Pollaczek polyomals of Yama ad Rehardt [], whereas the other dscretzato of the radal ketc eergy ad the Coulomb problem the attractve ad electro-electro potetal case for the helum exctato states gve a ew modfed Pollaczek polyomal. Ths paper s orgazed as follows. I secto, we preset the threebody Coulomb wave fuctos ad o-relatvstc Hamltoa. Noorthogoal Laguerre-type fucto bass dscretzato of the three-body Coulomb potetal gves two modfed Pollaczek polyomals ad the Malaysa Joural of Mathematcal Sceces

3 The Three-Body Coulomb Potetal Polyomals froze-core model s used to exame the three-body Coulomb Hamltoa are gve Secto. The resultg three-term recurrece relato s show to be a specal case of the Pollaczek polyomals whch s a set of orthogoal polyomals havg a oempty cotuous spectrum addto to a fte dscrete spectrum. I secto, the completeess of the threebody Coulomb wave fuctos s the examed by Gaussa quadrature. The umercal results are gve Secto. Fally Secto 6, we draw the cocludg remarks from ths work. Accordgly, we troduce the fudametals of orthogoalty ad the aalytcal study of orthogoal polyomals. A dstrbuto fucto ( x) s a fxed o-decreasg fucto wth ftely may pots of crease the fte or fte terval [a, b], ad the momets, x d ( x) Malaysa Joural of Mathematcal Sceces b a, exst ad are fte for = 0,,,.... A set of polyomals { P ( x )}, where ( ) P x s a polyomal of precse degree, s called orthogoal wth respect to provded b P ( x) Pj ( x) d ( x) = 0, j a. () Wth a terval [a, b] ad weght fucto, w ( x), we may assocate Eq. () b w( x) P ( x) Pj ( x) dx = 0, j a () whch s defed for all the orthogoal polyomals, that s, b w( x) x dx < 0 for all. If ( x) a d ( x) () wth w( x) =. O the other had, f ( x) s absolutely cotuous, () reduces to s a jump fucto, that dx s costat except for jumps of the magtude w at x = x, the () reduces to sum w P ( x ) Pj ( x ) = 0, for j = () ) whch s the approprate defto for fuctos of a dscrete varable. A set of (where { x : } s the set of jump dscotutes of ( x)

4 Agus Kartoo & Mustafa Mamat orthogoal polyomals { ( ) : 0} relato ( ) ( ) ( ) ( ) P x wll satsfy a three-term recurrece P x = A x + B P x C P x, =,,.... () Here A, B, ad C are costats, A > 0 ad C > 0, ad the postvty codtos A >, =,,..., () A C 0 are satsfed. For may of the classcal polyomals there are aalytc relatos betwee fucto ad ts frst ad/or secod dervatves dp ( x) : 0 whch may be used to geerate the dervatves f dx x= x eeded. I the absece of such relatoshps, t s trval to dfferetate the recurso ay umber of tmes to obta equatos useful for computg dervatves. For example, ( ) ( ) ( ) dp x dp x dp x = ( A x + B ) C + A P x dx dx dx ( ) x= x x= x x= x may be used for the frst dervatve oce the fuctos are kow. Startg from a three-term recurrece relato t s possble to determe two learly depedet sets of polyomals wth tal codtos, (6) P ( x ) =, ( ) 0 ( ) dp x dx x= x P x = A x + B, 0 0 = A. 0 dp0 dx ( x) x= x = 0, (7) The recurrece relato () ad the postvty codto () mply orthogoalty []. Malaysa Joural of Mathematcal Sceces

5 The Three-Body Coulomb Potetal Polyomals The Pollaczek polyomals are defed by three-term recurrece relato ( ) ( ) ( ) ( ) P x; a, b + + a x + b P x; a, b P + + = 0 () =,,, wth tal codtos: P ( x; a, b) = 0 ad P ( x a b) geeratg fucto = 0 θ ( ) ( ) ;, + φ θ θ = φ θ ( ) ( ) ( ) 0 ;, =. They have the P x a b z ze ze, z <, (9) acosθ + b where x = cosθ, 0 θ π, ad φ ( θ ) =.Whe a ad b real, sθ a b, >, the Pollaczek polyomals satsfy the orthogoalty relato the terval x + P ( x; a, b) P j ( x; a, b) w ( x; a, b) dx = jδ, j, = Γ ( + ) ( + + ), (0) a /! wth the weght fucto [9, 0] / w ( x; a, b) = exp{ ( θ π ) φ ( θ )}( x ) Γ ( + φ ( θ )). () π THE THREE-BODY COULOMB WAVE FUNCTIONS AND HAMILTONIAN We cosder frst a system of two electros LS couplg. We defe the orbtal fuctos radal, φ l, sphercal harmoc, Y ( ˆ lm r ), ad sp fucto, χ ( σ ), for a sgle-electro as ϕ ( x) = φ ( ) ( ˆ l r Ylm r) χ ( σ ). () r Malaysa Joural of Mathematcal Sceces

6 Agus Kartoo & Mustafa Mamat Here x s used to deote both the spatal ad sp coordates. The radal part of the sgle-partcle fuctos, ca the be wrtte usg the o-orthogoal Laguerre-type fucto bass (see Yama ad Rehardt []) l+ l + ( r) ( r ) exp( r / ) L ( r) φ =, () l l l l where the l + L ( r) l are the assocated Laguerre polyomals, l s the teracto parameter ad rages from to the bass sze. The twopartcle space s wrtte terms of the product of these orbtal for coordates r ad r. We may rearrage these products to lear combatos whch are egevalues of the total orbtal agular mometum ad total sp ϕ ϕ π υ = φ φ υ, () ( x ) ( x ) : lms ( r ) ( r ) l l : lm X ( s ) l l r r the otato ad are used to deote the frst ad secod electro, where ( ˆ ) ( ˆ ) l l lm = l l m m lm Y r Y r, () : l m l m m, m ad the two-electro sp fucto s defed by = µ µ. (6) ( υ ) µ µ sυ χ ( σ ) χ ( σ ) X s σ σ, The three-body Coulomb wave fuctos cofgurato teracto form are Φ x, x = C φ r φ r l l : lm X sυ, (7) ( ) π lmsυ ( ) π l l, r r ( ) ( ) ( ) where the cofgurato teractos are chose so that the selecto rules are satsfed for the combato () ad they are correctly at-symmetrzed two-electro states of party ( ) l + l ad wth total orbtal agular mometum egevalues l, m ad sp egevalues s,υ. Here the ( ) cofgurato teracto coeffcets C satsfy the symmetry property ( ) ( ) l + l l s ( ) C = C, () to esure at-symmetry of the two-electro system states. 6 Malaysa Joural of Mathematcal Sceces

7 The Three-Body Coulomb Potetal Polyomals as The o-relatvstc three-body Coulomb Hamltoa ca be wrtte H = H + H + V, (9) where Z H = K + V =, (0) r for =,, s the oe-electro Hamltoa of the He + o (Z = ), ad V = r r, () s the electro-electro potetal. Atomc uts (a.u.) are assumed throughout. THE THREE-BODY COULOMB POTENTIAL POLYNOMIALS We cosder frst a system of two electros LS couplg. Whereas the geeral Hamltoa formalsm Eq. (9) cludes two-electro exctato, practce we have foud that t s suffcet to use the frozecore model, where oe of the electros s a fxed orbtal (the groud state) whle the secod electro s descrbed by a set of depedet L fuctos, thus permttg t to spa the dscrete ad cotuum exctatos, whch all cofguratos have oe of the electros occupyg the lowest orbtal. I order to get a good descrpto of the groud state (s) polyomal, Φ x, x we must dagoalzed the groud state Hamltoa ( ) where m r Z Φ ε Φ = 0, () ε s the eergy assocated wth the s state of He + o. By usg the recurrece relatos, orthogoalty relato ad dfferetato formula of the Laguerre polyomal [, 0], Eq. () fally becomes l Z Z + l + ( ) l + P ( ) ( ) x l x P x l P ( x ) = + + +, l l () =,,.... Malaysa Joural of Mathematcal Sceces 7

8 To talze the recurrece oe sets Agus Kartoo & Mustafa Mamat l + l + ( x ) = 0 ; P ( x ) P 0 =, () where ad ( ) ( l ) Γ ( + ) ( ) l + Γ + + P x = C x, () x l ε = l ε +. (6) The eergy ε whch are obtaed from (6) are gve by l + x ε =. (7) x The exctato states polyomal for ( ) by solvg the equato m r r r Φ x, x ca ow be obtaed Z Φ + ε Φ = 0, () where ε s the eergy assocated wth the exctato states of the helum atom. The matrx elemets of the electro-electro potetal teracto for states where the orbtal agular mometa of the two o-equvalet electros (dfferet ad l) are coupled to a specfc l ad the sps to a specfc s. The expectato value of the electro-electro potetal teracto for ths state cossts of two drect terms for whch the orderg of the quatum umbers s the same o both sdes ad two exchage terms for whch the order s reversed. The electro-electro potetal matrx elemets may the be wrtte as the dfferece of a drect ad a exchage matrx elemet, for a LS cofgurato ( l = 0, l = l ), ths reduces to the smple expresso Malaysa Joural of Mathematcal Sceces

9 The Three-Body Coulomb Potetal Polyomals Φ Φ = ( ) ( ) lmsυ lmsυ r r φ φ φ φ + ( r ) ( r ) ( r ) ( r ) r ( ) ( l + ) 0 0 s l r< l + r> ( ) ( ) ( ) ( ) φ r φ r φ r φ r dr dr (9) whch r < stads for the smaller of the two dstaces r ad r, r s > greater of the two dstaces r ad r. Ths cofgurato has two LS terms: a trplet term wth s = ( l ) ad a sglet term wth s = 0 ( l ). These two terms are splt by the exchage part of the electro-electro potetal teracto. Thus, ths splttg of the two sp states s a cosequece of the at-symmetry of fuctos. I order to use ths formula for a real system, made up of dstgushable partcles, we must, of course, use properly atsymmetrzed fuctos. After the same step as the groud states equato ad the electroelectro potetal teracto calculato of a two-electro system, Eq. () ca be wrtte as Z Z l V x V P x ( ) l + + exc + exc l l l l l + l + ( + l ) P ( x ) P ( x ), =,,..., = + (0) to talze the recurrece oe sets where V exc l + l + ( x ) = 0 ; P ( x ) P ( ) ( l ) Γ ( + ) 0 ( ) Γ l P x = C x ( ) l s l r< l + r> ( r ), ( r ) ( r ), ( r ) =, (), () l φ ( r ) φ ( r ) φ ( r ) φ ( r ) dr dr l ( l ) =, () φ φ φ φ Malaysa Joural of Mathematcal Sceces 9

10 Agus Kartoo & Mustafa Mamat ad l ε x = l ε +. () The eergy ε whch s obtaed from equato () s gve by l + x ε =. () x It s clear that the resultg three-term recurrece relato () ad (0) are a specal case of recurrece relato () satsfed by the Pollaczek polyomals. The three-term recurrece relato () ad (0) are defed by the geeralty three-term recurrece relato ( ) ( ) ( ) ( ) ( ) P x + a x + a P x + + P x = 0, =,,, (6) where (the subscrpt of ad for () ad (0) respectvely), ad a Z = ; l a = Z Vexc, (7) l l = l + ; = l +, () are orthogoal polyomals whe the postvty codto () holds. The followg sequece of equaltes must be vald ( a)( a)( ) 0 < + + +, =,,.... (9) Case A: > 0. The equalty (9) wth = s ( a )( a)( ) > 0. (0) 0 Malaysa Joural of Mathematcal Sceces

11 The Three-Body Coulomb Potetal Polyomals Ths equalty wll be satsfed f ( a) > 0. Moreover, the remag equaltes (9) for =,,... wll also be satsfed. O the other had, f ( a) < 0, the there wll be a smallest teger k such that ( k + a) > 0. The kth equalty (9) wll fal, sce( k + a ) 0. Ths shows that f > 0, the the polyomals geerated by the recurrece relato (6) are orthogoal wth respect to a postve measure f ad oly f ( a) > 0. Case B: < < 0. Sce s egatve, (0) holds whe ( a ) ad have opposte sgs. I partcular, (0) holds ( a) whe ( a) > 0 ad ( a ) ( a) 0 < 0. It follows that ( a) > 0 ad + >. The equalty (9) for = s ( a)( a)( ) + > 0. () Ths hold because > 0 ths case. Moreover, each of the terms (9) wll be postve for the remag equaltes whe =,,. Whe ether ( a) 0 a > 0, (0) fals. Ths shows that for <, so ( ) < or ( ) < < 0 the polyomals geerated by recurrece (6) are orthogoal wth respect to a postve measure f ad oly f < a < 0. Case C: <. I ths case ( ) < 0 ad ( ) (0) would requre ( a ) ad ( a) () requres ( a) ad ( a) < 0. The valdty of to have opposte sgs. Now + to have opposte sgs. Ths s mpossble. Ths shows that whe < the recurrece (6) wll ever geerate a fte set of polyomals orthogoal wth respect to a postve measure. Malaysa Joural of Mathematcal Sceces

12 Agus Kartoo & Mustafa Mamat I summary, the postvty codto for () holds f ad oly f or > 0 ad ( a) > 0 (a) < < 0 ad < a < 0. (b) THE COMPLETENESS OF THE THREE-BODY COULOMB WAVE FUNCTIONS Wth the ad of the recurrece relatos ad orthogoalty relato of Laguerre polyomal ad Chrstoffel-Darboux relato [] satsfed by the Pollaczek polyomal, the ormalzato cofgurato teracto costats C ad C ca be expressed as follows ( ) ( ) Γ + l + l l d l C P l ( x ) P = x l Γ dx x x + = ad ( ) Γ ( + ) Γ + l + l l d l C P l ( x ) P = x dx l x= x (a). (b) The observato that for the Laguerre bass () the three-body Coulomb wave fuctos have L expaso coeffcets proportoal to the Pollaczek polyomal ca be exploted further to show a coecto wth Gaussa quadrature rules. Cosder the completeess relato for the true egefuctos folded betwee two arbtrary L wave fuctos f ad g f Φ Φ g + f Φ Φ g de = f g () l l El El 0 ad a fte bass represetato the space spaed by the frst bass states of Eq. () type f Φ Φ g = f g. () Malaysa Joural of Mathematcal Sceces

13 The Three-Body Coulomb Potetal Polyomals Geerally f ad g may be chose to possess a fte umber of ozero Fourer coeffcets so f g f g, (6) but f g f g as. (7) To derve a equvalet quadrature rule for ths covergece we wrte () as ( ) ( ) ( ) ( ) ( ), ( ) f g = C f Φ x Φ x g. () We see that the mpled quadrature rule for a fucto f(x) s b a = = ( ) ( ) ( ) ( ) ( ) ( ) w x f x dx C f x. (9) The terval lmt [a, b] comprse ay terval whch covers the pot ad cotuum mapped to x varable. The quadrature rule (9) ca be detfed as a specal case of Gaussa quadrature based Pollaczek polyomals. Ths ca be see by otg some stadard results that for geeral orthogoal polyomal there exsts a Gaussa quadrature formula gve by Chhara []. The assocated quadrature weghts, w, are gve by w ( ) πγ ( + l + ) = l Γ ( + ) l+ ( ) d l ( ) ( ) ( ) P x P x dx. (0) The cofgurato teracto coeffcet determed usg (0) s gve by ( ) C Eq. () whch are the l ( ) ( C ) = ( ) π l( ) ( ) ( x ) w ( ). () Malaysa Joural of Mathematcal Sceces

14 Agus Kartoo & Mustafa Mamat NUMERICAL RESULTS We state a umber of results that ca be obtaed by choosg subsets of the bass we have trucated the Fourer expaso. Ths s equvalet to mposg the boudary codto that the (+)th coeffcet s zero, amely that P l+ ( x ) = 0, = 0,,..., - () as the otato mples there are real roots to the Eqs. () ad (0). A good descrpto of the groud state ( ε = -.00 a.u.), we take l =.0 for = (). The secod electro ca be ay l state, we use the set of =, 0, ad 0 wth l = 0.9 for the, S states to obtaed a approxmato of egatve ad postve states (0). All of the roots ad resultg egevalues are preseted Table. All excted-state eerges are descrbed to a accuracy of better tha 0.% ad are preseted Table. We obtaed the eergy of -.6 a.u. for S the bass sze. If s show by creasg the umber of bass sze up to 0 we obtaed the covergece umber of -.70 a.u. whle the expermet measured a.u.[, ]. The dscrepacy betwee the calculated ad the expermet s 0.9%. I order to crease the covergece for S oe ca slghtly chage l ad results are preseted Table. The values of the cofgurato teracto coeffcet C ad weght w whch belog to the groud state (s) are.99 ad The values of ad C w are tabulated Tables ad for sglet ad trplet S-states wth dfferet bass sze ad l = 0.9 respectvely. CONCLUDING REMARKS As we dcated the Itroducto, the geeral Pollaczek P x; a, b are orthogoal wth respect to a absolutely { } polyomals ( ) dstrbuto fucto f a b, >. () Malaysa Joural of Mathematcal Sceces

15 The Three-Body Coulomb Potetal Polyomals Note that ( ;, ) ( ) ( ;, ) P x a b = P x a b, () whch easly follows from the geeratg fucto (9), dcates that there s o loss of geeralty cosderg oly oe of the cases b 0 or b 0. P x; a, b s depedet of b, { } The postvty codto () the case of ( ) sce b appears ether A or orthogoal f ad oly f (a) or (b) holds. C. Ths meas that P ( x; a, b) { } Usg the restrcted bass for the three-body Coulomb states whch oe of the electros s fxed orbtal (s) whle the secod electro s descrbed by a set of depedet L fuctos, we are able to produce the complete helum atom eerges whch are agree well wth the expermetal results of refereces [, ] ad other calculatos of Koovalov ad McCarthy [] ad Accad et al. []. The covergece of the eerges s show as the Laguerre bass sze creases. For example, we obtaed the eergy of a.u. for S the bass sze. If s show by creasg the umber of bass sze up to 0 we obtaed the covergece umber of a.u. whle the expermet measured -.70 a.u.[, ]. The completeess relato of the three-body Coulomb wave fuctos s calculated terms of the cofgurato teracto coeffcet va the Gaussa quadrature. It s show that the weghts ad cofgurato teracto coeffcets coverge to certa umber for dfferet bass sze. are ACKNOWLEDGMENTS The authors lke to thak Prof. Adrs Stelbovcs ad Prof. Igor Bray for ther helpful refereces they suppled. REFERENCES [] Heller, E.J. ad Yama, H.A. 97. Phys. Rev. A, 9:0, 09. [] Yama, H.A. ad Rehardt, W.P. 97. Phys. Rev. A, :. Malaysa Joural of Mathematcal Sceces

16 Agus Kartoo & Mustafa Mamat [] Board, J.T. 97. Phys. Rev. A, : 0. [] Board, J.T. 9. Phys. Rev. A, :9. [] Stelbovcs, A.T. 99. J. Phys. B : At. Mol. Phys., : L9. [6] Bray, I. ad Stelbovcs, A.T. 99. Adv. At. Mol. Phys., : 09. [7] Bray, I., Fursa, D.V., Khefets, A.S. ad Stelbovcs, A.T. 00. J. Phys. B, : R7. [] Szegö, G. 97. Orthogoal Polyomals, Vol. (Amerca Mathematcal Socety Colloquum Publcatos) th ed. (Amerca Mathematcal Socety, Provdece, RI). [9] Szegö, G. 90. Proc. Amer. Math. Soc., : 7. [0] Erdély, A., Magus, W., Oberhettger, F., Trcom F.G. 9. Hgher Trascedetal Fuctos, Vol. II., New York: McGraw- Hll Book Co., Ic. [] Chhara, T.S. 97. A Itroducto to Orthogoal Polyomals, Mathematcs ad Its Applcatos, Vol., New York: Gordo ad Breach. [] Radzg, A.A., Smrov, B.M. 9. Referece Data o Atoms, Molecules, ad Ios, Spger-verlag Berl, Chaps. 6 ad 7. [] NIST Atomc Spectra Database Levels Data He I, [] Koovalov, D.A., McCarthy, I.E. 99. J. Phys. B: At. Mol. Phys., : L9. [] Accad, Y., Pekers, C.L., Schff, B. 97. Phys. Rev. A, : 6. 6 Malaysa Joural of Mathematcal Sceces

17 The Three-Body Coulomb Potetal Polyomals TABLE : The roots ad pseudo-states eerges ( ε + ε ) whch are produced from oorthogoal Laguerre-L expasos are show for the groud states, l =.0 for =,, S excted states, l = 0.9 for =, 0, ad 0. Powers of te are deoted by the umber brackets. N x S x S (+) -0.07(+) (+) (+) 0.667(+) (+) (+) (+) (+) -0.(+) -0.0(+) (+) (-) (+) (+) (+) (+) -0.0(+) (+) (+) (+) -0.76(+) -0.66(+) -0.7(+) (+) (-) (+) (+) (+) -0.0(+) (+) -0.99(+) (+) Malaysa Joural of Mathematcal Sceces 7

18 Agus Kartoo & Mustafa Mamat TABLE (cotued) : The roots ad pseudo-states eerges ( ε + ε ) whch are produced from o-orthogoal Laguerre-L expasos are show for the groud states, l =.0 for =,, S excted states, l = 0.9 for =, 0, ad 0. Powers of te are deoted by the umber brackets. N x S x S (+) (+) -0.76(+) -0.96(+) -0.0(+) (+) (+) (-) (+) (+) (+) -0.0(+) (+) -0.00(+) -0.7(+) (+) (-) TABLE : The groud ad excted-states egevalues ( ε + ε ) of the o-relatvstc Hamltoa of the three-body Coulomb wave fuctos ( a.u.) are show as a fucto of umber of L bass fuctos =, 0, ad 0. The observato results by refereces [, ]. Hghly accurate o-relatvstc eergy levels of the helum atom by Koovalov ad McCarthy (KM) [] ad by Accad et al. []. 0 0 Observato KM Accad et al. [Preset work] [, ] [] [] State S S S S S S S Malaysa Joural of Mathematcal Sceces

19 The Three-Body Coulomb Potetal Polyomals TABLE : Covergece of the groud states ( S) egevalues ( ε + ε ) for the three-body Coulomb wave fuctos ( a.u.) are show as a fucto of umber of L bass fuctos =, 0, ad 0 ad l. l TABLE : The weghts of Gaussa quadrature ad cofgurato teracto coeffcet are show for l = 0.9, l = 0 (sglet) ad dfferet bass szes. Powers of te are deoted I x by the umber brackets. w w C 0.79(+) (+) (+) (+) -0.07(+) (+) (+) (+) -0.(+) -0.0(+) (+) (-) (+) (+) (-) 0.97(-) 0.0(-) (-) (-) (-) (-) 0.660(-) (+) (+) (-) 0.77(-) 0.99(-) Malaysa Joural of Mathematcal Sceces 9

20 Agus Kartoo & Mustafa Mamat TABLE (cotued): The weghts of Gaussa quadrature ad cofgurato teracto coeffcet are show for l = 0.9, l = 0 (sglet) ad dfferet bass szes. Powers of te are deoted by the umber brackets. I x (+) (+) -0.76(+) -0.66(+) -0.7(+) (+) (-) (+) (+) -0.76(+) -0.96(+) -0.0(+) (+) (+) (-) w w (+) (-) (-) (-) (-) (-) 0.9(-) (-) 0.996(-) 0.90(-) 0.0(-) 0.970(-) 0.760(-) 0.770(-) (+) (-) 0.97(-) (-) (-) 0.767(-) 0.907(-) 0.706(-) 0.090(-) 0.96(-) 0.766(-) 0.67(-) 0.66(-) 0.9(-) 0.990(-) (-) 0.797(-) 0.000(-) 0.(-) (+) (+) C (-) 0.69(-) 0.97(-) (-) (-) 0.906(-) (-) 0.69(-) 0.6(-) 0.0(-) 0.709(-) 0.97(-) (-) (-) 0.(-) 0.977(-) Malaysa Joural of Mathematcal Sceces

21 The Three-Body Coulomb Potetal Polyomals TABLE : The weghts of Gaussa quadrature ad cofgurato teracto coeffcet are show for l = 0.9, l = 0 (trplet) ad dfferet bass szes. Powers of te are deoted by I x the umber brackets. w w C (+) (+) 0.667(+) (+) (+) (+) (+) (+) (+) -0.0(+) (+) (-) 0.606(-) (-) (-) (-) 0.090(-) 0.067(-) 0.606(-) 0.676(-) 0.69(-) 0.990(-) 0.907(-) 0.70(-) (-) (-) 0.70(-) 0.00(-) (-) 0.760(-) 0.790(-) 0.0(-) 0.900(-) 0.690(-) 0.790(-) 0.700(-) (+) (+) (+) -0.0(+) (+) -0.99(+) (+) (-) 0.090(-) 0.0(-) 0.707(-) 0.999(-) (-) 0.99(-) (-) 0.9(-) 0.096(-) (-) (-) 0.0(-) (-) (-) 0.760(-) 0.790(-) 0.90(-) (-) (-) (-) 0.770(-) 0.700(-) 0.670(-) (-) (-) Malaysa Joural of Mathematcal Sceces

22 Agus Kartoo & Mustafa Mamat TABLE : The weghts of Gaussa quadrature ad cofgurato teracto coeffcet are show for l = 0.9, l = 0 (trplet) ad dfferet bass szes. Powers of te are deoted by the umber brackets. I x (+) (+) (+) -0.0(+) (+) -0.00(+) -0.7(+) (+) (-) w w (-) 0.090(-) 0.0(-) 0.79(-) (-) 0.976(-) 0.709(-) (-) 0.90(-) 0.69(-) (-) (-) 0.0(-) (-) 0.609(-) 0.77(-) (-) 0.677(-) 0.07(-) C (-) 0.760(-) 0.790(-) (-) (-) 0.900(-) 0.60(-) (-) 0.70(-) (-) 0.90(-) (-) 0.760(-) (-) 0.60(-) (-) Malaysa Joural of Mathematcal Sceces

MOLECULAR VIBRATIONS

MOLECULAR VIBRATIONS MOLECULAR VIBRATIONS Here we wsh to vestgate molecular vbratos ad draw a smlarty betwee the theory of molecular vbratos ad Hückel theory. 1. Smple Harmoc Oscllator Recall that the eergy of a oe-dmesoal

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem

Cubic Nonpolynomial Spline Approach to the Solution of a Second Order Two-Point Boundary Value Problem Joural of Amerca Scece ;6( Cubc Nopolyomal Sple Approach to the Soluto of a Secod Order Two-Pot Boudary Value Problem W.K. Zahra, F.A. Abd El-Salam, A.A. El-Sabbagh ad Z.A. ZAk * Departmet of Egeerg athematcs

More information

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

More information

Summary of the lecture in Biostatistics

Summary of the lecture in Biostatistics Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the

More information

Chapter 5 Properties of a Random Sample

Chapter 5 Properties of a Random Sample Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

Lecture 07: Poles and Zeros

Lecture 07: Poles and Zeros Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto

More information

Unimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods

Unimodality Tests for Global Optimization of Single Variable Functions Using Statistical Methods Malaysa Umodalty Joural Tests of Mathematcal for Global Optmzato Sceces (): of 05 Sgle - 5 Varable (007) Fuctos Usg Statstcal Methods Umodalty Tests for Global Optmzato of Sgle Varable Fuctos Usg Statstcal

More information

X ε ) = 0, or equivalently, lim

X ε ) = 0, or equivalently, lim Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece

More information

Beam Warming Second-Order Upwind Method

Beam Warming Second-Order Upwind Method Beam Warmg Secod-Order Upwd Method Petr Valeta Jauary 6, 015 Ths documet s a part of the assessmet work for the subject 1DRP Dfferetal Equatos o Computer lectured o FNSPE CTU Prague. Abstract Ths documet

More information

Mu Sequences/Series Solutions National Convention 2014

Mu Sequences/Series Solutions National Convention 2014 Mu Sequeces/Seres Solutos Natoal Coveto 04 C 6 E A 6C A 6 B B 7 A D 7 D C 7 A B 8 A B 8 A C 8 E 4 B 9 B 4 E 9 B 4 C 9 E C 0 A A 0 D B 0 C C Usg basc propertes of arthmetc sequeces, we fd a ad bm m We eed

More information

TESTS BASED ON MAXIMUM LIKELIHOOD

TESTS BASED ON MAXIMUM LIKELIHOOD ESE 5 Toy E. Smth. The Basc Example. TESTS BASED ON MAXIMUM LIKELIHOOD To llustrate the propertes of maxmum lkelhood estmates ad tests, we cosder the smplest possble case of estmatg the mea of the ormal

More information

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM Jose Javer Garca Moreta Ph. D research studet at the UPV/EHU (Uversty of Basque coutry) Departmet of Theoretcal

More information

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Numercal Computg -I UNIT SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Structure Page Nos..0 Itroducto 6. Objectves 7. Ital Approxmato to a Root 7. Bsecto Method 8.. Error Aalyss 9.4 Regula Fals Method

More information

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions.

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions. Ordary Least Squares egresso. Smple egresso. Algebra ad Assumptos. I ths part of the course we are gog to study a techque for aalysg the lear relatoshp betwee two varables Y ad X. We have pars of observatos

More information

CHAPTER VI Statistical Analysis of Experimental Data

CHAPTER VI Statistical Analysis of Experimental Data Chapter VI Statstcal Aalyss of Expermetal Data CHAPTER VI Statstcal Aalyss of Expermetal Data Measuremets do ot lead to a uque value. Ths s a result of the multtude of errors (maly radom errors) that ca

More information

Special Instructions / Useful Data

Special Instructions / Useful Data JAM 6 Set of all real umbers P A..d. B, p Posso Specal Istructos / Useful Data x,, :,,, x x Probablty of a evet A Idepedetly ad detcally dstrbuted Bomal dstrbuto wth parameters ad p Posso dstrbuto wth

More information

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur

More information

Chapter 4 Multiple Random Variables

Chapter 4 Multiple Random Variables Revew for the prevous lecture: Theorems ad Examples: How to obta the pmf (pdf) of U = g (, Y) ad V = g (, Y) Chapter 4 Multple Radom Varables Chapter 44 Herarchcal Models ad Mxture Dstrbutos Examples:

More information

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat

More information

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution: Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed

More information

A Remark on the Uniform Convergence of Some Sequences of Functions

A Remark on the Uniform Convergence of Some Sequences of Functions Advaces Pure Mathematcs 05 5 57-533 Publshed Ole July 05 ScRes. http://www.scrp.org/joural/apm http://dx.do.org/0.436/apm.05.59048 A Remark o the Uform Covergece of Some Sequeces of Fuctos Guy Degla Isttut

More information

Q-analogue of a Linear Transformation Preserving Log-concavity

Q-analogue of a Linear Transformation Preserving Log-concavity Iteratoal Joural of Algebra, Vol. 1, 2007, o. 2, 87-94 Q-aalogue of a Lear Trasformato Preservg Log-cocavty Daozhog Luo Departmet of Mathematcs, Huaqao Uversty Quazhou, Fua 362021, P. R. Cha ldzblue@163.com

More information

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler

BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS. Aysegul Akyuz Dascioglu and Nese Isler Mathematcal ad Computatoal Applcatos, Vol. 8, No. 3, pp. 293-300, 203 BERNSTEIN COLLOCATION METHOD FOR SOLVING NONLINEAR DIFFERENTIAL EQUATIONS Aysegul Ayuz Dascoglu ad Nese Isler Departmet of Mathematcs,

More information

ρ < 1 be five real numbers. The

ρ < 1 be five real numbers. The Lecture o BST 63: Statstcal Theory I Ku Zhag, /0/006 Revew for the prevous lecture Deftos: covarace, correlato Examples: How to calculate covarace ad correlato Theorems: propertes of correlato ad covarace

More information

Analysis of Lagrange Interpolation Formula

Analysis of Lagrange Interpolation Formula P IJISET - Iteratoal Joural of Iovatve Scece, Egeerg & Techology, Vol. Issue, December 4. www.jset.com ISS 348 7968 Aalyss of Lagrage Iterpolato Formula Vjay Dahya PDepartmet of MathematcsMaharaja Surajmal

More information

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class)

Assignment 5/MATH 247/Winter Due: Friday, February 19 in class (!) (answers will be posted right after class) Assgmet 5/MATH 7/Wter 00 Due: Frday, February 9 class (!) (aswers wll be posted rght after class) As usual, there are peces of text, before the questos [], [], themselves. Recall: For the quadratc form

More information

Lecture Notes Types of economic variables

Lecture Notes Types of economic variables Lecture Notes 3 1. Types of ecoomc varables () Cotuous varable takes o a cotuum the sample space, such as all pots o a le or all real umbers Example: GDP, Polluto cocetrato, etc. () Dscrete varables fte

More information

Research Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings

Research Article A New Iterative Method for Common Fixed Points of a Finite Family of Nonexpansive Mappings Hdaw Publshg Corporato Iteratoal Joural of Mathematcs ad Mathematcal Sceces Volume 009, Artcle ID 391839, 9 pages do:10.1155/009/391839 Research Artcle A New Iteratve Method for Commo Fxed Pots of a Fte

More information

Point Estimation: definition of estimators

Point Estimation: definition of estimators Pot Estmato: defto of estmators Pot estmator: ay fucto W (X,..., X ) of a data sample. The exercse of pot estmato s to use partcular fuctos of the data order to estmate certa ukow populato parameters.

More information

Simple Linear Regression

Simple Linear Regression Statstcal Methods I (EST 75) Page 139 Smple Lear Regresso Smple regresso applcatos are used to ft a model descrbg a lear relatoshp betwee two varables. The aspects of least squares regresso ad correlato

More information

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best Error Aalyss Preamble Wheever a measuremet s made, the result followg from that measuremet s always subject to ucertaty The ucertaty ca be reduced by makg several measuremets of the same quatty or by mprovg

More information

Lecture 7. Confidence Intervals and Hypothesis Tests in the Simple CLR Model

Lecture 7. Confidence Intervals and Hypothesis Tests in the Simple CLR Model Lecture 7. Cofdece Itervals ad Hypothess Tests the Smple CLR Model I lecture 6 we troduced the Classcal Lear Regresso (CLR) model that s the radom expermet of whch the data Y,,, K, are the outcomes. The

More information

Lecture 3 Probability review (cont d)

Lecture 3 Probability review (cont d) STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto

More information

Research Article Gauss-Lobatto Formulae and Extremal Problems

Research Article Gauss-Lobatto Formulae and Extremal Problems Hdaw Publshg Corporato Joural of Iequaltes ad Applcatos Volume 2008 Artcle ID 624989 0 pages do:055/2008/624989 Research Artcle Gauss-Lobatto Formulae ad Extremal Problems wth Polyomals Aa Mara Acu ad

More information

Econometric Methods. Review of Estimation

Econometric Methods. Review of Estimation Ecoometrc Methods Revew of Estmato Estmatg the populato mea Radom samplg Pot ad terval estmators Lear estmators Ubased estmators Lear Ubased Estmators (LUEs) Effcecy (mmum varace) ad Best Lear Ubased Estmators

More information

MATH 247/Winter Notes on the adjoint and on normal operators.

MATH 247/Winter Notes on the adjoint and on normal operators. MATH 47/Wter 00 Notes o the adjot ad o ormal operators I these otes, V s a fte dmesoal er product space over, wth gve er * product uv, T, S, T, are lear operators o V U, W are subspaces of V Whe we say

More information

LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX

LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 6 2006, #A12 LINEAR RECURRENT SEQUENCES AND POWERS OF A SQUARE MATRIX Hacèe Belbachr 1 USTHB, Departmet of Mathematcs, POBox 32 El Ala, 16111,

More information

The internal structure of natural numbers, one method for the definition of large prime numbers, and a factorization test

The internal structure of natural numbers, one method for the definition of large prime numbers, and a factorization test Fal verso The teral structure of atural umbers oe method for the defto of large prme umbers ad a factorzato test Emmaul Maousos APM Isttute for the Advacemet of Physcs ad Mathematcs 3 Poulou str. 53 Athes

More information

PTAS for Bin-Packing

PTAS for Bin-Packing CS 663: Patter Matchg Algorthms Scrbe: Che Jag /9/00. Itroducto PTAS for B-Packg The B-Packg problem s NP-hard. If we use approxmato algorthms, the B-Packg problem could be solved polyomal tme. For example,

More information

h-analogue of Fibonacci Numbers

h-analogue of Fibonacci Numbers h-aalogue of Fboacc Numbers arxv:090.0038v [math-ph 30 Sep 009 H.B. Beaoum Prce Mohammad Uversty, Al-Khobar 395, Saud Araba Abstract I ths paper, we troduce the h-aalogue of Fboacc umbers for o-commutatve

More information

Assignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix

Assignment 7/MATH 247/Winter, 2010 Due: Friday, March 19. Powers of a square matrix Assgmet 7/MATH 47/Wter, 00 Due: Frday, March 9 Powers o a square matrx Gve a square matrx A, ts powers A or large, or eve arbtrary, teger expoets ca be calculated by dagoalzg A -- that s possble (!) Namely,

More information

arxiv:math/ v1 [math.gm] 8 Dec 2005

arxiv:math/ v1 [math.gm] 8 Dec 2005 arxv:math/05272v [math.gm] 8 Dec 2005 A GENERALIZATION OF AN INEQUALITY FROM IMO 2005 NIKOLAI NIKOLOV The preset paper was spred by the thrd problem from the IMO 2005. A specal award was gve to Yure Boreko

More information

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?

More information

DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS

DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS Course Project: Classcal Mechacs (PHY 40) Suja Dabholkar (Y430) Sul Yeshwath (Y444). Itroducto Hamltoa mechacs s geometry phase space. It deals

More information

Bivariate Vieta-Fibonacci and Bivariate Vieta-Lucas Polynomials

Bivariate Vieta-Fibonacci and Bivariate Vieta-Lucas Polynomials IOSR Joural of Mathematcs (IOSR-JM) e-issn: 78-78, p-issn: 19-76X. Volume 1, Issue Ver. II (Jul. - Aug.016), PP -0 www.osrjourals.org Bvarate Veta-Fboacc ad Bvarate Veta-Lucas Polomals E. Gokce KOCER 1

More information

MEASURES OF DISPERSION

MEASURES OF DISPERSION MEASURES OF DISPERSION Measure of Cetral Tedecy: Measures of Cetral Tedecy ad Dsperso ) Mathematcal Average: a) Arthmetc mea (A.M.) b) Geometrc mea (G.M.) c) Harmoc mea (H.M.) ) Averages of Posto: a) Meda

More information

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971)) art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Postpoed exam: ECON430 Statstcs Date of exam: Jauary 0, 0 Tme for exam: 09:00 a.m. :00 oo The problem set covers 5 pages Resources allowed: All wrtte ad prted

More information

Analysis of Variance with Weibull Data

Analysis of Variance with Weibull Data Aalyss of Varace wth Webull Data Lahaa Watthaacheewaul Abstract I statstcal data aalyss by aalyss of varace, the usual basc assumptos are that the model s addtve ad the errors are radomly, depedetly, ad

More information

Fibonacci Identities as Binomial Sums

Fibonacci Identities as Binomial Sums It. J. Cotemp. Math. Sceces, Vol. 7, 1, o. 38, 1871-1876 Fboacc Idettes as Bomal Sums Mohammad K. Azara Departmet of Mathematcs, Uversty of Evasvlle 18 Lcol Aveue, Evasvlle, IN 477, USA E-mal: azara@evasvlle.edu

More information

Module 7: Probability and Statistics

Module 7: Probability and Statistics Lecture 4: Goodess of ft tests. Itroducto Module 7: Probablty ad Statstcs I the prevous two lectures, the cocepts, steps ad applcatos of Hypotheses testg were dscussed. Hypotheses testg may be used to

More information

Third handout: On the Gini Index

Third handout: On the Gini Index Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The

More information

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace

More information

L5 Polynomial / Spline Curves

L5 Polynomial / Spline Curves L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a

More information

Chapter 3 Sampling For Proportions and Percentages

Chapter 3 Sampling For Proportions and Percentages Chapter 3 Samplg For Proportos ad Percetages I may stuatos, the characterstc uder study o whch the observatos are collected are qualtatve ature For example, the resposes of customers may marketg surveys

More information

CHAPTER 4 RADICAL EXPRESSIONS

CHAPTER 4 RADICAL EXPRESSIONS 6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube

More information

hp calculators HP 30S Statistics Averages and Standard Deviations Average and Standard Deviation Practice Finding Averages and Standard Deviations

hp calculators HP 30S Statistics Averages and Standard Deviations Average and Standard Deviation Practice Finding Averages and Standard Deviations HP 30S Statstcs Averages ad Stadard Devatos Average ad Stadard Devato Practce Fdg Averages ad Stadard Devatos HP 30S Statstcs Averages ad Stadard Devatos Average ad stadard devato The HP 30S provdes several

More information

Feature Selection: Part 2. 1 Greedy Algorithms (continued from the last lecture)

Feature Selection: Part 2. 1 Greedy Algorithms (continued from the last lecture) CSE 546: Mache Learg Lecture 6 Feature Selecto: Part 2 Istructor: Sham Kakade Greedy Algorthms (cotued from the last lecture) There are varety of greedy algorthms ad umerous amg covetos for these algorthms.

More information

1 Onto functions and bijections Applications to Counting

1 Onto functions and bijections Applications to Counting 1 Oto fuctos ad bectos Applcatos to Coutg Now we move o to a ew topc. Defto 1.1 (Surecto. A fucto f : A B s sad to be surectve or oto f for each b B there s some a A so that f(a B. What are examples of

More information

Some Notes on the Probability Space of Statistical Surveys

Some Notes on the Probability Space of Statistical Surveys Metodološk zvezk, Vol. 7, No., 200, 7-2 ome Notes o the Probablty pace of tatstcal urveys George Petrakos Abstract Ths paper troduces a formal presetato of samplg process usg prcples ad cocepts from Probablty

More information

Ahmed Elgamal. MDOF Systems & Modal Analysis

Ahmed Elgamal. MDOF Systems & Modal Analysis DOF Systems & odal Aalyss odal Aalyss (hese otes cover sectos from Ch. 0, Dyamcs of Structures, Al Chopra, Pretce Hall, 995). Refereces Dyamcs of Structures, Al K. Chopra, Pretce Hall, New Jersey, ISBN

More information

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh

More information

x y exp λ'. x exp λ 2. x exp 1.

x y exp λ'. x exp λ 2. x exp 1. egecosmcd Egevalue-egevector of the secod dervatve operator d /d hs leads to Fourer seres (se, cose, Legedre, Bessel, Chebyshev, etc hs s a eample of a systematc way of geeratg a set of mutually orthogoal

More information

2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen.

2.28 The Wall Street Journal is probably referring to the average number of cubes used per glass measured for some population that they have chosen. .5 x 54.5 a. x 7. 786 7 b. The raked observatos are: 7.4, 7.5, 7.7, 7.8, 7.9, 8.0, 8.. Sce the sample sze 7 s odd, the meda s the (+)/ 4 th raked observato, or meda 7.8 c. The cosumer would more lkely

More information

On the convergence of derivatives of Bernstein approximation

On the convergence of derivatives of Bernstein approximation O the covergece of dervatves of Berste approxmato Mchael S. Floater Abstract: By dfferetatg a remader formula of Stacu, we derve both a error boud ad a asymptotc formula for the dervatves of Berste approxmato.

More information

[ L] υ = (3) [ L] n. Q: What are the units of K in Eq. (3)? (Why is units placed in quotations.) What is the relationship to K in Eq. (1)?

[ L] υ = (3) [ L] n. Q: What are the units of K in Eq. (3)? (Why is units placed in quotations.) What is the relationship to K in Eq. (1)? Chem 78 Spr. M. Wes Bdg Polyomals Bdg Polyomals We ve looked at three cases of lgad bdg so far: The sgle set of depedet stes (ss[]s [ ] [ ] Multple sets of depedet stes (ms[]s, or m[]ss All or oe, or two-state

More information

Comparing Different Estimators of three Parameters for Transmuted Weibull Distribution

Comparing Different Estimators of three Parameters for Transmuted Weibull Distribution Global Joural of Pure ad Appled Mathematcs. ISSN 0973-768 Volume 3, Number 9 (207), pp. 55-528 Research Ida Publcatos http://www.rpublcato.com Comparg Dfferet Estmators of three Parameters for Trasmuted

More information

MA 524 Homework 6 Solutions

MA 524 Homework 6 Solutions MA 524 Homework 6 Solutos. Sce S(, s the umber of ways to partto [] to k oempty blocks, ad c(, s the umber of ways to partto to k oempty blocks ad also the arrage each block to a cycle, we must have S(,

More information

Lecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES

Lecture 12 APPROXIMATION OF FIRST ORDER DERIVATIVES FDM: Appromato of Frst Order Dervatves Lecture APPROXIMATION OF FIRST ORDER DERIVATIVES. INTRODUCTION Covectve term coservato equatos volve frst order dervatves. The smplest possble approach for dscretzato

More information

F. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties

F. Inequalities. HKAL Pure Mathematics. 進佳數學團隊 Dr. Herbert Lam 林康榮博士. [Solution] Example Basic properties 進佳數學團隊 Dr. Herbert Lam 林康榮博士 HKAL Pure Mathematcs F. Ieualtes. Basc propertes Theorem Let a, b, c be real umbers. () If a b ad b c, the a c. () If a b ad c 0, the ac bc, but f a b ad c 0, the ac bc. Theorem

More information

PROJECTION PROBLEM FOR REGULAR POLYGONS

PROJECTION PROBLEM FOR REGULAR POLYGONS Joural of Mathematcal Sceces: Advaces ad Applcatos Volume, Number, 008, Pages 95-50 PROJECTION PROBLEM FOR REGULAR POLYGONS College of Scece Bejg Forestry Uversty Bejg 0008 P. R. Cha e-mal: sl@bjfu.edu.c

More information

ENGI 4421 Propagation of Error Page 8-01

ENGI 4421 Propagation of Error Page 8-01 ENGI 441 Propagato of Error Page 8-01 Propagato of Error [Navd Chapter 3; ot Devore] Ay realstc measuremet procedure cotas error. Ay calculatos based o that measuremet wll therefore also cota a error.

More information

5 Short Proofs of Simplified Stirling s Approximation

5 Short Proofs of Simplified Stirling s Approximation 5 Short Proofs of Smplfed Strlg s Approxmato Ofr Gorodetsky, drtymaths.wordpress.com Jue, 20 0 Itroducto Strlg s approxmato s the followg (somewhat surprsg) approxmato of the factoral,, usg elemetary fuctos:

More information

Extreme Value Theory: An Introduction

Extreme Value Theory: An Introduction (correcto d Extreme Value Theory: A Itroducto by Laures de Haa ad Aa Ferrera Wth ths webpage the authors ted to form the readers of errors or mstakes foud the book after publcato. We also gve extesos for

More information

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables

Complete Convergence and Some Maximal Inequalities for Weighted Sums of Random Variables Joural of Sceces, Islamc Republc of Ira 8(4): -6 (007) Uversty of Tehra, ISSN 06-04 http://sceces.ut.ac.r Complete Covergece ad Some Maxmal Iequaltes for Weghted Sums of Radom Varables M. Am,,* H.R. Nl

More information

Descriptive Statistics

Descriptive Statistics Page Techcal Math II Descrptve Statstcs Descrptve Statstcs Descrptve statstcs s the body of methods used to represet ad summarze sets of data. A descrpto of how a set of measuremets (for eample, people

More information

Non-uniform Turán-type problems

Non-uniform Turán-type problems Joural of Combatoral Theory, Seres A 111 2005 106 110 wwwelsevercomlocatecta No-uform Turá-type problems DhruvMubay 1, Y Zhao 2 Departmet of Mathematcs, Statstcs, ad Computer Scece, Uversty of Illos at

More information

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity

Strong Convergence of Weighted Averaged Approximants of Asymptotically Nonexpansive Mappings in Banach Spaces without Uniform Convexity BULLETIN of the MALAYSIAN MATHEMATICAL SCIENCES SOCIETY Bull. Malays. Math. Sc. Soc. () 7 (004), 5 35 Strog Covergece of Weghted Averaged Appromats of Asymptotcally Noepasve Mappgs Baach Spaces wthout

More information

. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1)

. The set of these sums. be a partition of [ ab, ]. Consider the sum f( x) f( x 1) Chapter 7 Fuctos o Bouded Varato. Subject: Real Aalyss Level: M.Sc. Source: Syed Gul Shah (Charma, Departmet o Mathematcs, US Sargodha Collected & Composed by: Atq ur Rehma (atq@mathcty.org, http://www.mathcty.org

More information

å 1 13 Practice Final Examination Solutions - = CS109 Dec 5, 2018

å 1 13 Practice Final Examination Solutions - = CS109 Dec 5, 2018 Chrs Pech Fal Practce CS09 Dec 5, 08 Practce Fal Examato Solutos. Aswer: 4/5 8/7. There are multle ways to obta ths aswer; here are two: The frst commo method s to sum over all ossbltes for the rak of

More information

Lecture 9: Tolerant Testing

Lecture 9: Tolerant Testing Lecture 9: Tolerat Testg Dael Kae Scrbe: Sakeerth Rao Aprl 4, 07 Abstract I ths lecture we prove a quas lear lower boud o the umber of samples eeded to do tolerat testg for L dstace. Tolerat Testg We have

More information

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION

Fourth Order Four-Stage Diagonally Implicit Runge-Kutta Method for Linear Ordinary Differential Equations ABSTRACT INTRODUCTION Malasa Joural of Mathematcal Sceces (): 95-05 (00) Fourth Order Four-Stage Dagoall Implct Ruge-Kutta Method for Lear Ordar Dfferetal Equatos Nur Izzat Che Jawas, Fudzah Ismal, Mohamed Sulema, 3 Azm Jaafar

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Exam: ECON430 Statstcs Date of exam: Frday, December 8, 07 Grades are gve: Jauary 4, 08 Tme for exam: 0900 am 00 oo The problem set covers 5 pages Resources allowed:

More information

Lecture 3. Sampling, sampling distributions, and parameter estimation

Lecture 3. Sampling, sampling distributions, and parameter estimation Lecture 3 Samplg, samplg dstrbutos, ad parameter estmato Samplg Defto Populato s defed as the collecto of all the possble observatos of terest. The collecto of observatos we take from the populato s called

More information

AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET

AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET AN UPPER BOUND FOR THE PERMANENT VERSUS DETERMINANT PROBLEM BRUNO GRENET Abstract. The Permaet versus Determat problem s the followg: Gve a matrx X of determates over a feld of characterstc dfferet from

More information

III-16 G. Brief Review of Grand Orthogonality Theorem and impact on Representations (Γ i ) l i = h n = number of irreducible representations.

III-16 G. Brief Review of Grand Orthogonality Theorem and impact on Representations (Γ i ) l i = h n = number of irreducible representations. III- G. Bref evew of Grad Orthogoalty Theorem ad mpact o epresetatos ( ) GOT: h [ () m ] [ () m ] δδ δmm ll GOT puts great restrcto o form of rreducble represetato also o umber: l h umber of rreducble

More information

Lecture IV : The Hartree-Fock method

Lecture IV : The Hartree-Fock method Lecture IV : The Hartree-Fock method I. THE HARTREE METHOD We have see the prevous lecture that the may-body Hamltoa for a electroc system may be wrtte atomc uts as Ĥ = N e N e N I Z I r R I + N e N e

More information

1. A real number x is represented approximately by , and we are told that the relative error is 0.1 %. What is x? Note: There are two answers.

1. A real number x is represented approximately by , and we are told that the relative error is 0.1 %. What is x? Note: There are two answers. PROBLEMS A real umber s represeted appromately by 63, ad we are told that the relatve error s % What s? Note: There are two aswers Ht : Recall that % relatve error s What s the relatve error volved roudg

More information

CS286.2 Lecture 4: Dinur s Proof of the PCP Theorem

CS286.2 Lecture 4: Dinur s Proof of the PCP Theorem CS86. Lecture 4: Dur s Proof of the PCP Theorem Scrbe: Thom Bohdaowcz Prevously, we have prove a weak verso of the PCP theorem: NP PCP 1,1/ (r = poly, q = O(1)). Wth ths result we have the desred costat

More information

Numerical Simulations of the Complex Modied Korteweg-de Vries Equation. Thiab R. Taha. The University of Georgia. Abstract

Numerical Simulations of the Complex Modied Korteweg-de Vries Equation. Thiab R. Taha. The University of Georgia. Abstract Numercal Smulatos of the Complex Moded Korteweg-de Vres Equato Thab R. Taha Computer Scece Departmet The Uversty of Georga Athes, GA 002 USA Tel 0-542-2911 e-mal thab@cs.uga.edu Abstract I ths paper mplemetatos

More information

Chapter Business Statistics: A First Course Fifth Edition. Learning Objectives. Correlation vs. Regression. In this chapter, you learn:

Chapter Business Statistics: A First Course Fifth Edition. Learning Objectives. Correlation vs. Regression. In this chapter, you learn: Chapter 3 3- Busess Statstcs: A Frst Course Ffth Edto Chapter 2 Correlato ad Smple Lear Regresso Busess Statstcs: A Frst Course, 5e 29 Pretce-Hall, Ic. Chap 2- Learg Objectves I ths chapter, you lear:

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

13. Parametric and Non-Parametric Uncertainties, Radial Basis Functions and Neural Network Approximations

13. Parametric and Non-Parametric Uncertainties, Radial Basis Functions and Neural Network Approximations Lecture 7 3. Parametrc ad No-Parametrc Ucertates, Radal Bass Fuctos ad Neural Network Approxmatos he parameter estmato algorthms descrbed prevous sectos were based o the assumpto that the system ucertates

More information

1 Mixed Quantum State. 2 Density Matrix. CS Density Matrices, von Neumann Entropy 3/7/07 Spring 2007 Lecture 13. ψ = α x x. ρ = p i ψ i ψ i.

1 Mixed Quantum State. 2 Density Matrix. CS Density Matrices, von Neumann Entropy 3/7/07 Spring 2007 Lecture 13. ψ = α x x. ρ = p i ψ i ψ i. CS 94- Desty Matrces, vo Neuma Etropy 3/7/07 Sprg 007 Lecture 3 I ths lecture, we wll dscuss the bascs of quatum formato theory I partcular, we wll dscuss mxed quatum states, desty matrces, vo Neuma etropy

More information

arxiv: v4 [math.nt] 14 Aug 2015

arxiv: v4 [math.nt] 14 Aug 2015 arxv:52.799v4 [math.nt] 4 Aug 25 O the propertes of terated bomal trasforms for the Padova ad Perr matrx sequeces Nazmye Ylmaz ad Necat Tasara Departmet of Mathematcs, Faculty of Scece, Selcu Uversty,

More information

means the first term, a2 means the term, etc. Infinite Sequences: follow the same pattern forever.

means the first term, a2 means the term, etc. Infinite Sequences: follow the same pattern forever. 9.4 Sequeces ad Seres Pre Calculus 9.4 SEQUENCES AND SERIES Learg Targets:. Wrte the terms of a explctly defed sequece.. Wrte the terms of a recursvely defed sequece. 3. Determe whether a sequece s arthmetc,

More information

Entropy ISSN by MDPI

Entropy ISSN by MDPI Etropy 2003, 5, 233-238 Etropy ISSN 1099-4300 2003 by MDPI www.mdp.org/etropy O the Measure Etropy of Addtve Cellular Automata Hasa Aı Arts ad Sceces Faculty, Departmet of Mathematcs, Harra Uversty; 63100,

More information

Numerical Analysis Formulae Booklet

Numerical Analysis Formulae Booklet Numercal Aalyss Formulae Booklet. Iteratve Scemes for Systems of Lear Algebrac Equatos:.... Taylor Seres... 3. Fte Dfferece Approxmatos... 3 4. Egevalues ad Egevectors of Matrces.... 3 5. Vector ad Matrx

More information