A study of Fermi hole and partial Fermi hole for Li- and C-Atoms in different states 1s 2p, 1s 3p, 1s 3d and 2s 2p
|
|
- Shon Skinner
- 5 years ago
- Views:
Transcription
1 Iraq Joural of Physcs, 05 Vol.3, No.7, PP. 5-6 A study of Fer hole ad partal Fer hole for L- ad C-Atos dfferet states s p, s 3p, s 3d ad s p Al. A. Alzubad, Khall H. AL-Bayat, Naeeah Ch. M. Physcs Departet, College of Scece, Uversty of Baghdad. Physcs Departet, College of Scece for Woe, Uversty of Baghdad. E-al: a_ch_a@yahoo.co Abstract The electro correlato effect for ter-shell have bee aalysed ters of Fer hole ad partal Fer hole for L-ato the excted states (s 3p) ad (s 3d) usg Hartree-Fock approxato (HF). Fer hole f( ) ad partal Fer hole g(, ) were detered posto space. Each plot of the physcal propertes ths work s oralzed to uty. The calculato was perfored usg Mathcad 4 progra. Key words Fer hole, Partal Fer hole, electro correlato. Artcle fo. Receved: Oct. 04 Accepted: Dec. 04 Publshed: Sep. 05 دراسة فجوة فيرمي وفجوة فيرمي الجزئية لذرتي الليثيوم والكاربون في حاالت مختلفة s p و s p, s 3p,s 3d علي عبد اللطيف كريم الزبيدي, خليل هادي أحمد البياتي, نعيمة جيجان مذكور قسم الفيزياء, كلية العلوم, جامعة بغداد قسم الفيزياء, كلية العلوم للبنات, جامعة بغداد الخالصة تم تحليل الترابط األلكتروني لالغلفة البينية من خالل فجوة فيرمي وفجوة فيرمي الجزئية لذرة الليثيوم في الحاالت المتهيجة (3p (3d بأستخدام الدالة التقريبية لهارتي-فوك.(HF) تم تحديد فجوة فيرمي ) s) و f(s) وفجوة فيرمي الجزئية ) g( r, في الفضاء المكاني. كل رسم للخصائص الفيزيائية في هذا البحث يحقق شرط العيارية للواحد. الحسابات تم تنفيذها باستخدام برنامج.Mathcad 4 Itroducto The electro correlato a ato or olecule s of two kds, due to Coulob ad exchage teracto. I the frst of these, the classcal Coulob repulso betwee each par of electros whch have dfferet sps, leads to the forato of a hole the atoc or olecular charge cloud aroud each chose electro whch s called a Coulob hole []. The secod kd, the teracto of electros wth parallel sps whch keeps the electros apart ad lead to the Fer hole (t s also kow as the exchage hole) whch arses fro the ature of feros The frst uercal calculatos for the 5
2 Iraq Joural of Physcs, 05 Al. A. Alzubad, et al. Fer hole atos were reported by Masle (956) [] ad Sperber (97)[3]. The Fer hole was defed quattatvely ters of par dstrbuto fuctos by Boyd ad Coulso 974 [4]. Explct calculatos of Boyd ad Coulso 974, Moseyev et al. 975 [5] for the 3 s state of the helu soelectroc sequece ad the groud state of beryllu have provded a sple physcal pcture of the average Fer hole the charge cloud aroud ay chose electro sple atoc systes. The electro correlato has bee exaed wth tershell for a seres of L-lke os ther excted state (s 3s) coparg wth (s p) by AL-Bayat (985) [6]. Iter-shell descrptos were obtaed at a Hartree-Fock (HF) level fro Wess 963 [7]. The Fer ad Coulob holes that ca be used to descrbe the physcs of electro correlato are calculated ad aalysed for a uber of typcal cases, ragg fro prototype dyacal correlato to purely odyacal correlato by Bujse & Baereds (00) [8], ad Fer hole has studed for the cofguratos s p ad p for He ato where the Paul prcple was satsfed by Da Dll (003) [9]. Parttog the secod-order desty to ts parwse copoets, correlato effects were the aalyzed ters of Fer hole f( ) ad partal Fer hole g(, ) (s 3s) ad (s 3p) states by Al A. Alzubad 005 [0]. I the preset reseearch, the aalyss s exteded here to the thrd ad fourth excted states of the L-ato (s 3p) ad (s 3d). Moreover, sce the thrd ad fourth excted states have a oe-zero total agular oetu, a coparso of ts correlato propertes wth those for the groud state of S syetry, wll be of specal terest. Theory ad ethodology HF wave fucto s approprate for ay dfferet applcatos electro structure theory. It descrbe the teral dyacs of a N-electro ato the teral spatal coordates ad the sp coordates ad gve by A P r r,..., ra K rk P, () A! P K The total wave fucto of ay partcle systes s wrtte as a deterat of oeelectro fuctos (sp-orbtals) [7]. The the total wave fucto for three electro syste s gve by! 3 () 3 s s ad for sx electro syste l! (3) 6 s s s s p x py where φ s the spatal part of the sp-orbtal; ad α ad β refer to the two copoets of the sp part. The orbtals, tur, are wrtte as a expaso soe set of aalytc bass fuctos l C l, (4),l = (s, 3p) or (s, 3d). The bas s fuctos are stadard oralzed Slatertype orbtals (STO's) ad gve by [7] ( r,,, ) R ( r, ) Y (, ) (5), l, l ll Where ( r ) R ( r, ) r N e (6) 6
3 Iraq Joural of Physcs, 05 Vol.3, No.7, PP. 5-6 ad C represets the costat coeffcet yeld fro the self cosstet feld (SCF) ethod, s the prcple quatu uber, s the orbtal expoet, ad N s a oralzato costat gve by [] N /! / (7) If (,j) labels a par of occuped φ ad φ j the restrcted HF descrpto of the syste, the the chage, due to correlato the (,j) copoet of the secod-order desty Γ j (χ, χ ) whch derved fro the HF wave fuctos usg the parttog techque of Bayard ad Mashat (977) []. j, j j (8) To study the physcal propertes for a ay partcle systes, we ust fd the electropar desty for each dvdual electroc shell, so 3 ( x, x ) ( x, x ) (9) j j For ay N-electro atoc syste, the radal terpartcle dstrbuto fucto s defed ters of the sp-free secod order desty atrx as [3.4] f d d j ( r ) j ( r, r ) dr (0) where r represets the space coordates of electro. The eleet of volue d s defed as d r s d d dr. r r r r r cos () oe obtas rdr r r sd () provded that, r are kept fxed. The cobed volue eleet therefore becoes [3] dd r rr dr dr sddd (3) dr where ω deotes the agle of rotato gve Fg.. r z (r,θ,φ ) (0, ) r (,θ,φ ) ω θ θ θ (, 0) 0 φ φ Polar axs y x a. b. Fg. : a. The radal tegrato rage Equ.(3.0) s represeted by the shaded area. b. Coordate syste volved the deterato of f( ). Here,, r are posto vectors for electros ad relatve to the org pot [3]. 7
4 Iraq Joural of Physcs, 05 Al. A. Alzubad, et al. By substtutg Equ.(3) to Equ.(0), we get [5] f r r r r dr dr d d d j ( ) j (, ) s (4) For the sphercally syetrc case (s-orbtal) where the azuthal (or orbtal) agular oetu quatu uber 0, f( ) ca be evaluated fro [3]. f ( r r rr rr ) 8 r r dr ( r, r ) r dr r dr ( r, r r dr 0 rr r r r (5) ) I the preset aalyss the p, 3p ad 3d states are exaples of o-sphercally syetrc syste. The expresso for f obtaed fro [6] r r r r r f r r r dr r r r dr I r dr ( ) (, ) 0 rr r rr, r r r dr I (6) I the foregog, the dstrbuto fucto f s averaged over all postos of the two electros. But we ght ask what the dstrbuto fucto would look lke f oe of the electros s at a specfed dstace fro the ucleus. If the posto of electro s specfed as r the oe ca troduced a ew dstrbuto fucto whch depeds o rad r ad gve by [7] g( r, r ) r r rr rr j ( r, r ) r dr I (7) I represet the tegrals of the ost geeral type I Y ( , ) Y (, ) Y (, ) Y (, ) sdd d I ca be wrtte as [0] I ( ) L LL3L LL 4 C( ; ) C( 3 4 ; 3 4 ) C, (8) C P ( ;000) ( 3 4 ;000) ( ) (cos ) where C( ; ) s the Clebsch- Gorde coeffcet defed by [8], ad s soetes expressed tradtoal otato, L,, 3 4 ad xy s the Kroecker delta fucto. Eq.() ca be wrtte ter of Wger 3j sybols by usg the followg relato (9) 8
5 Iraq Joural of Physcs, 05 Vol.3, No.7, PP. 5-6 The portat propertes ad the values of Wger 3j sybols were gve ad tabulated Ref. [9] The assocated Fer hole ca be wrtte as a dfferece betwee the electro-electro dstrbuto fucto f( ) for trplet state ( 3 s) or (αα) ad these for sglet state ( s) or (αβ) [0] f r ) f 3 ( r ) f ( r ) (0) ( KM( s) KM( s) ad the partal Fer hole, Δg(, ) s defed as the dfferet betwee the partal dstrbuto fucto g(, ) for trplet ad sglet state g( r, r ) g 3 ( r, r ) g ( r, r ) KM( s) KM( s) () Partal Fer hole Δg(, ) agast (, ), eables us to study correlato effects whe the test electro s located at a gve radal dstace fro the ucleus; the tegral of Δg(, ) agast equals Δf( ). Results ad dscusso The probablty of fdg the ter-partcle dstrbuto fucto f( ) betwee electros ulke ad lke sps KM shell for L-ato the dfferet excted states ca be observed the curves (A) ad (B) preseted Fg.. For both states, at sall, the f( ) dstrbuto fucto s flueced aly by the electro par behavor, sce the outer electro caot peetrates the K-shell, so we see a flat rego. The absece of ths feature s due to the dfferece syetry of the s ad 3p ad 3d orbtals. I s 3p state these curves dcates two prcpal axa each curve refer to the probablty of fdg the outer electro oe p ad the other 3p. Fos 3p state the axu values of f( ) betwee electros wth lke sp s greater tha betwee electros wth ulke sp ad the locatos s less ad vce versa fos 3d state. The axu values of f( ) fos 3d > s 3p ad vce versa for ts locatos. We ow exae the terpartcle dstrbuto fucto f( ) for ter-shells as s α p α, s β p α, s α p α ad s β p α of the C-ato Fgs.(3) (a) ad (b) fos α p α, s β p α, s α p α ad s β p α whch show the p electros caot peetrated the s or s so we see a flat regos at sall ad ths regos for αα > βα because Fer effect ad the desty of two electros parallel state larger tha sglet state s p but vce versa for s p, the axu values of f( ) fos p > s p ad ts locatos for s p > s p. It ca be see that Fer hole s plotted as a dfferece betwee f( ) of K α M α shell (trplet state) ad K β M α shell (sglet state) for L-ato the dfferet excted states Fg. 4 ad for dfferet states of C-ato Fg. 5 whch shows the depth of Fer hole decreases ad ts radus creases whe the outer electro excted to farther orbtal L-ato ad a creasg the depth ad radus of Fer hole s p state copared wth s p state C-ato, due the large dstace betwee tow electros L-shell. 9
6 f(r ) Iraq Joural of Physcs, 05 Al. A. Alzubad, et al. (a) s α 3p α s β 3p α (b) s α 3d α s β 3d α Fg. : The ter-partcle dstrbuto fucto f( ) for L-ato the dfferet excted states (a) s α 3p α, s β 3p α ad (b) s α 3d α, s β 3d α. (a) (b) s α p α s β p α Fg. (3). The ter-partcle dstrbuto fucto f( ) for L- ato the dfferet excted states (a) s α p α, s β p α ad (b) s α p α, s β p α. (a) s 3p (b) s 3d f( ) Fg. 4: The Fer hole f( ) evaluated fro f αα (r)-f βα (r) for L- ato dfferet excted states (a) s 3p ad (b) s 3d. 0
7 Iraq Joural of Physcs, 05 Vol.3, No.7, PP. 5-6 f( ) - _ f( ) (a) (b) s p s p Fg. 5: The Fer hole f( ) evaluated fro f αα (r)-f βα (r) for C-ato dfferet excted states (a) s p ad (b) s p. The g(, ) dagras (surfaces ad cotours) for KM( 3 s), KM( s), KL( 3 s), KL( s), LL( 3 s) ad LL( s) shells for L- ad C-atos states s 3p, s 3d, s p ad s p Fgs. 6-9 respectvely, show the chage behavor of the ter-partcle probablty fuctos as the posto of the test electro s vared ad show the sae characterstcs the rego of the dagoal = axs, whe s large copared wth r K. Ths slarty also holds for the features parallel to the axs, whe r. Such features K are characterstc of a ter-shell dstrbuto. I s α 3p α - shell values represet the locato of the three axa for K-, L- ad M- shell. I the dagoal structure, specto of g, cofrs that at the axu, whe =r M, the value of does deed exceed. Furtherore, for a gve dagoal cotour, the spa of dcates the spreads of the L- ad M-shells destes whereas, for a fxed choce of, say r M, the rage of reflects the relatve copactess of the K-shell desty. Coversely, for the parallel feature, the rages of ad relate to the K-, L- ad M-shells dstrbutos, respectvely. Naturally, the Fer effect produces eglgble values of g(, ) at sall for all. Dstrbuto fos β 3p α -shell shows the characterstc dagoal ad parallel features see prevously fos α p α. However, sce Fer effect s ot preset ths stace, the K-shell effect does ot appear the g, surface due to the dfferet syetry. The sae behavor ca be see s 3d state but there dfferet exstece values represet the axa of two probabltes of fdg electro K- ad M-shell because outer electros caot peetrates L-shell. The g(, ) dagras (surfaces ad cotours) for s α p α ad s β p α sub-shells for C-ato have ther a characterstcs located about the dagoal le, ad the axu value for the desty where r p ad r sp. As there s a very sall effect parallel to the axs represet the probablty of pereato the s electro to s so s ad represet the dstace dstrbutos betwee s ad p sup-shell. I addto, ad as expected, for every ter-shell.
8 g(r,r) g(r,r) g(r,r) g(r,r) Iraq Joural of Physcs, 05 Al. A. Alzubad, et al. (a) s α 3p α (b) s β 3p α (a) s α 3p α (b) s β 3p α,r of L-ato excted state (s 3p), (a) s α 3p α ad (b) s β 3p α. Fg. 6: The surfaces ad cotours of the partal dstrbuto fucto g fos 3p state (a) s α 3d α (b) s β 3d α (a) s α 3d α (b) s β 3d α,r of L-ato excted state (s 3d), (a) s α 3d α ad (b) s β 3d α. Fg. 7: The surfaces ad cotours of the partal dstrbuto fucto g fos 3d state
9 g(r,r) g(r,r) g(r,r) g(r,r) Iraq Joural of Physcs, 05 Vol.3, No.7, PP. 5-6 (a) s α p α (b) s β p α (a) s α p α (b) s β p α,r Fg. 8: The surfaces ad cotours of the partal dstrbuto fucto g of C-ato (a) s α p α ad (b) s β p α. fos p state (a) s α p α (b) s β p α (a) s α p α (b) s β p α,r Fg. 9: The surfaces ad cotours of the partal dstrbuto fucto g of C-ato (a) s α p α ad (b) s β p α. for s p state 3
10 Δg(r,r) Δg(r,r) Iraq Joural of Physcs, 05 Al. A. Alzubad, et al. A partal Fer hole as a dfferece betwee αα ad βα for the selected systes of L- ad C-ato are plotted as surface ad cotour dagras Fgs. 0 ad respectvely. These Fgures show that the depth of partal Fer hole decreases ad the radus creases as the outer electro excted to 3d orbtal Lato ad the depth as well as the radus of g, fos p s p. (a) s 3p (b) s 3d (a) s 3p (b) s 3d Fg. 0: The surfaces ad cotours of the partal Fer hole g(, ) evaluated fro g αα (, )-g βα (, ) for L- ato dfferet excted states (a) s 3p ad (b) s 3d. 4
11 Δg(r,r) Δg(r,r) Iraq Joural of Physcs, 05 Vol.3, No.7, PP. 5-6 (a) s p (b) s p (a) s p (b) s p Fg. : The surfaces ad cotours of the partal Fer hole g(, ) evaluated fro g αα (, )-g βα (, ) for dfferet states of C-ato, (a) s p ad (b) s p. Coclusos Fro the preset research, we deduce soe otes for the ter-partcle dstrbuto fucto f( ), Fer hole f( ), the partal desty dstrbuto fucto g(, ) ad partal Fer hole g(, ). Whe coparg the f( ) ad g(, ) for L- ad C-atos the dfferet excted states, we see the axu values fos 3d are larger ad ther locato the earest to the ucleus fro s 3p L-ato ad fos p > s p C-ato, ad a flat rego the sall. The depth of Fer ad partal Fer hole decreases ad the radus creases whe the outer electro excted to further orbtal. The depth of Fer ad partal Fer hole for s p s > s p ad vce versa for radus. As well as, peetrato the orbtals by further orbtals electros, occur oly betwee orbtals are slar sphercal syetry. Refereces [] R. J. Boyd, C.A. Coulso, J. Phys. B: Ato. Molec. Phys. 6 (973) 78. [] V. W. Masle, Proc. Phys. Soc. A 69 (956) 734. [3] G. Sperber, It. J. Quatu Che. 5 (97)89. [4] R. J. Boyd, C. A. Coulso, J. Phys. B: At Mol. Phys. 7 (974) 805. [5] N. Moseyev, J. Katrel, R. J. Boyd, J. Phys. B: At. Mol. Phys. 8 (975) 30. [6] K. H. Al-Bayat, PhD. Thess, Lecester Uversty (984). [7] A. W. Wess, Astrophys. J. 38 (963) 6. [8] M. A. Bujse, E. J. Baereds, Mol. Phy. 00 (00) 40. 5
12 Iraq Joural of Physcs, 05 Al. A. Alzubad, et al. [9] D. Dll, Mechacs/ Fer Holes ad Heaps, Departet of Chestry Bosto Uversty, Bosto MA05 (003). [0] A. A. Alzubad, Ph.D Thess, Uversty of Techology, Iraq (005). [] J. Huag, Q. Zhao, G. Jag, Cou. Theor. Phys. 5 (00) 87. [] K. E. Bayard ad M. M. Mashat, J. Che. Phys. 67 (977) 405. [3] C.A. Coulso, A. H. Nelso, Proc. Phys. Soc. 78 (96) 83. [6] R. Beesch, It. J. Quat. Che. 6 (97)8. [7] R. J. Boyd, C. A. Coulso, J. Phys. B: Ato. Molec. Phys. 6 (973) 78 [8] M. E. Rosse, "Eleetary Theory of Agular Moetu" Joh Wley ad Sos, New York, (967). [9] R. D. Cowa, "The Theory of Atoc Structure Spectra" Uversty of Calfora Press, Calfora, (98). [4] S. Bub ad O. Prezhdo, Phys. Rev. Lett. (03) [5] P. R. Dressel ad F. W. Kg, J. Che. Phys. 00 (994)
Stationary states of atoms and molecules
Statoary states of atos ad olecules I followg wees the geeral aspects of the eergy level structure of atos ad olecules that are essetal for the terpretato ad the aalyss of spectral postos the rotatoal
More informationPotential Energy Expectation Value for Lithium Excited State (1s2s3s)
Ope Access Baghdad Scece Joural Vol.( Potetal Eergy Expectato Value for thum Excted State (sss Khall H. Al-Bayat* Nasma G. Husse* Ba H. Adel* Receved, December, Accepted, arch, Ths work s lcesed uder a
More information2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission
/0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power
More informationPRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION
PRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION Bars Erkus, 4 March 007 Itroducto Ths docuet provdes a revew of fudaetal cocepts structural dyacs ad soe applcatos hua-duced vbrato aalyss ad tgato of
More informationKURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne.
KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS by Peter J. Wlcoxe Ipact Research Cetre, Uversty of Melboure Aprl 1989 Ths paper descrbes a ethod that ca be used to resolve cossteces
More informationCoherent Potential Approximation
Coheret Potetal Approxato Noveber 29, 2009 Gree-fucto atrces the TB forals I the tght bdg TB pcture the atrx of a Haltoa H s the for H = { H j}, where H j = δ j ε + γ j. 2 Sgle ad double uderles deote
More informationA Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions
Appled Matheatcs, 1, 4, 8-88 http://d.do.org/1.4/a.1.448 Publshed Ole Aprl 1 (http://www.scrp.org/joural/a) A Covetoal Approach for the Soluto of the Ffth Order Boudary Value Probles Usg Sth Degree Sple
More informationLecture 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( t) ( t) ( t) ρ ψ ψ. (9.1)
Adre Toaoff, MT Departet of Cestry, 3/19/29 p. 9-1 9. THE DENSTY MATRX Te desty atrx or desty operator s a alterate represetato of te state of a quatu syste for wc we ave prevously used te wavefucto. Altoug
More informationEstimation 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 informationA New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming
ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research
More information7.0 Equality Contraints: Lagrange Multipliers
Systes Optzato 7.0 Equalty Cotrats: Lagrage Multplers Cosder the zato of a o-lear fucto subject to equalty costrats: g f() R ( ) 0 ( ) (7.) where the g ( ) are possbly also olear fuctos, ad < otherwse
More informationMOLECULAR 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 informationCubic 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 informationStandard Deviation for PDG Mass Data
4 Dec 06 Stadard Devato for PDG Mass Data M. J. Gerusa Retred, 47 Clfde Road, Worghall, HP8 9JR, UK. gerusa@aol.co, phoe: +(44) 844 339754 Abstract Ths paper aalyses the data for the asses of eleetary
More informationNon-degenerate Perturbation Theory
No-degeerate Perturbato Theory Proble : H E ca't solve exactly. But wth H H H' H" L H E Uperturbed egevalue proble. Ca solve exactly. E Therefore, kow ad. H ' H" called perturbatos Copyrght Mchael D. Fayer,
More informationESS Line Fitting
ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here
More informationbest 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 informationFunctions 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 informationSome results and conjectures about recurrence relations for certain sequences of binomial sums.
Soe results ad coectures about recurrece relatos for certa sequeces of boal sus Joha Cgler Faultät für Matheat Uverstät We A-9 We Nordbergstraße 5 Joha Cgler@uveacat Abstract I a prevous paper [] I have
More informationSolutions to problem set ); (, ) (
Solutos to proble set.. L = ( yp p ); L = ( p p ); y y L, L = yp p, p p = yp p, + p [, p ] y y y = yp + p = L y Here we use for eaple that yp, p = yp p p yp = yp, p = yp : factors that coute ca be treated
More informationDerivation 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 informationChapter 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 informationLong blade vibration model for turbine-generator shafts torsional vibration analysis
Avalable ole www.ocpr.co Joural of Checal ad Pharaceutcal Research, 05, 7(3):39-333 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 Log blade vbrato odel for turbe-geerator shafts torsoal vbrato aalyss
More informationSome Different Perspectives on Linear Least Squares
Soe Dfferet Perspectves o Lear Least Squares A stadard proble statstcs s to easure a respose or depedet varable, y, at fed values of oe or ore depedet varables. Soetes there ests a deterstc odel y f (,,
More informationLecture 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 informationEVALUATION 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 informationIntroduction to local (nonparametric) density estimation. methods
Itroducto to local (oparametrc) desty estmato methods A slecture by Yu Lu for ECE 66 Sprg 014 1. Itroducto Ths slecture troduces two local desty estmato methods whch are Parze desty estmato ad k-earest
More informationInterval extension of Bézier curve
WSEAS TRANSACTIONS o SIGNAL ROCESSING Jucheg L Iterval exteso of Bézer curve JUNCHENG LI Departet of Matheatcs Hua Uversty of Huates Scece ad Techology Dxg Road Loud cty Hua rovce 47 R CHINA E-al: ljucheg8@6co
More informationLecture 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 informationSimple 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 informationAssignment 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 informationAnalysis 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 informationSummary 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 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 informationOutline. Point Pattern Analysis Part I. Revisit IRP/CSR
Pot Patter Aalyss Part I Outle Revst IRP/CSR, frst- ad secod order effects What s pot patter aalyss (PPA)? Desty-based pot patter measures Dstace-based pot patter measures Revst IRP/CSR Equal probablty:
More informationParallelized methods for solving polynomial equations
IOSR Joural of Matheatcs (IOSR-JM) e-issn: 2278-5728, p-issn: 239-765X. Volue 2, Issue 4 Ver. II (Jul. - Aug.206), PP 75-79 www.osrourals.org Paralleled ethods for solvg polyoal equatos Rela Kapçu, Fatr
More information2.28 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 informationCarbonyl Groups. University of Chemical Technology, Beijing , PR China;
Electroc Supplemetary Materal (ESI) for Physcal Chemstry Chemcal Physcs Ths joural s The Ower Socetes 0 Supportg Iformato A Theoretcal Study of Structure-Solublty Correlatos of Carbo Doxde Polymers Cotag
More informationA 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 informationAlgorithms behind the Correlation Setting Window
Algorths behd the Correlato Settg Wdow Itroducto I ths report detaled forato about the correlato settg pop up wdow s gve. See Fgure. Ths wdow s obtaed b clckg o the rado butto labelled Kow dep the a scree
More informationMEASURES 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 informationFourth 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 informationEconometric 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 informationChapter 4 (Part 1): Non-Parametric Classification (Sections ) Pattern Classification 4.3) Announcements
Aoucemets No-Parametrc Desty Estmato Techques HW assged Most of ths lecture was o the blacboard. These sldes cover the same materal as preseted DHS Bometrcs CSE 90-a Lecture 7 CSE90a Fall 06 CSE90a Fall
More information3.1 Introduction to Multinomial Logit and Probit
ES3008 Ecooetrcs Lecture 3 robt ad Logt - Multoal 3. Itroducto to Multoal Logt ad robt 3. Estato of β 3. Itroducto to Multoal Logt ad robt The ultoal Logt odel s used whe there are several optos (ad therefore
More informationBeam 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 informationOn Convergence a Variation of the Converse of Fabry Gap Theorem
Scece Joural of Appled Matheatcs ad Statstcs 05; 3(): 58-6 Pulshed ole Aprl 05 (http://www.scecepulshggroup.co//sas) do: 0.648/.sas.05030.5 ISSN: 376-949 (Prt); ISSN: 376-953 (Ole) O Covergece a Varato
More informationThe Mathematics of Portfolio Theory
The Matheatcs of Portfolo Theory The rates of retur of stocks, ad are as follows Market odtos state / scearo) earsh Neutral ullsh Probablty 0. 0.5 0.3 % 5% 9% -3% 3% % 5% % -% Notato: R The retur of stock
More informationTHE TRUNCATED RANDIĆ-TYPE INDICES
Kragujeac J Sc 3 (00 47-5 UDC 547:54 THE TUNCATED ANDIĆ-TYPE INDICES odjtaba horba, a ohaad Al Hossezadeh, b Ia uta c a Departet of atheatcs, Faculty of Scece, Shahd ajae Teacher Trag Uersty, Tehra, 785-3,
More informationSUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi
Faculty of Sceces ad Matheatcs, Uversty of Nš, Serba Avalable at: http://wwwpfacyu/float Float 3:3 (009), 303 309 DOI:098/FIL0903303J SUBCLASS OF ARMONIC UNIVALENT FUNCTIONS ASSOCIATED WIT SALAGEAN DERIVATIVE
More informationDYNAMICS. Systems of Particles VECTOR MECHANICS FOR ENGINEERS: Seventh Edition CHAPTER. Ferdinand P. Beer E. Russell Johnston, Jr.
Seeth Edto CHPTER 4 VECTOR MECHNICS FOR ENINEERS: DYNMICS Ferdad P. eer E. Russell Johsto, Jr. Systes of Partcles Lecture Notes: J. Walt Oler Texas Tech Uersty 003 The Mcraw-Hll Copaes, Ic. ll rghts resered.
More informationAnalytical Study of Fractal Dimension Types in the Context of SPC Technical Paper. Noa Ruschin Rimini, Irad Ben-Gal and Oded Maimon
Aalytcal Study of Fractal Deso Types the Cotext of SPC Techcal Paper oa Rusch R, Irad Be-Gal ad Oded Mao Departet of Idustral Egeerg, Tel-Avv Uversty, Tel-Avv, Israel Ths paper provdes a aalytcal study
More informationPROJECTION 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 informationAnalysis 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 informationConstruction of Composite Indices in Presence of Outliers
Costructo of Coposte dces Presece of Outlers SK Mshra Dept. of Ecoocs North-Easter Hll Uversty Shllog (da). troducto: Oftetes we requre costructg coposte dces by a lear cobato of a uber of dcator varables.
More informationFibonacci 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 informationSolving Constrained Flow-Shop Scheduling. Problems with Three Machines
It J Cotemp Math Sceces, Vol 5, 2010, o 19, 921-929 Solvg Costraed Flow-Shop Schedulg Problems wth Three Maches P Pada ad P Rajedra Departmet of Mathematcs, School of Advaced Sceces, VIT Uversty, Vellore-632
More informationThe 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 informationENGI 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 informationThird 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 informationUNIVERSITY 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 informationChapter 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 informationOn Probability of Undetected Error for Hamming Codes over Q-ary Symmetric Channel
Joural of Coucato ad Coputer 8 (2 259-263 O Probablty of Udetected Error for Hag Codes over Q-ary Syetrc Chael Mash Gupta, Jaskar Sgh Bhullar 2 ad O Parkash Vocha 3. D.A.V. College, Bathda 5, Ida 2. Malout
More informationX 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 informationLecture 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 informationThe conformations of linear polymers
The coformatos of lear polymers Marc R. Roussel Departmet of Chemstry ad Bochemstry Uversty of Lethbrdge February 19, 9 Polymer scece s a rch source of problems appled statstcs ad statstcal mechacs. I
More informationd 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 informationMultiple Regression. More than 2 variables! Grade on Final. Multiple Regression 11/21/2012. Exam 2 Grades. Exam 2 Re-grades
STAT 101 Dr. Kar Lock Morga 11/20/12 Exam 2 Grades Multple Regresso SECTIONS 9.2, 10.1, 10.2 Multple explaatory varables (10.1) Parttog varablty R 2, ANOVA (9.2) Codtos resdual plot (10.2) Trasformatos
More informationBayesian Inferences for Two Parameter Weibull Distribution Kipkoech W. Cheruiyot 1, Abel Ouko 2, Emily Kirimi 3
IOSR Joural of Mathematcs IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume, Issue Ver. II Ja - Feb. 05, PP 4- www.osrjourals.org Bayesa Ifereces for Two Parameter Webull Dstrbuto Kpkoech W. Cheruyot, Abel
More informationChapter 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 informationSTA 108 Applied Linear Models: Regression Analysis Spring Solution for Homework #1
STA 08 Appled Lear Models: Regresso Aalyss Sprg 0 Soluto for Homework #. Let Y the dollar cost per year, X the umber of vsts per year. The the mathematcal relato betwee X ad Y s: Y 300 + X. Ths s a fuctoal
More informationDebabrata Dey and Atanu Lahiri
RESEARCH ARTICLE QUALITY COMPETITION AND MARKET SEGMENTATION IN THE SECURITY SOFTWARE MARKET Debabrata Dey ad Atau Lahr Mchael G. Foster School of Busess, Uersty of Washgto, Seattle, Seattle, WA 9895 U.S.A.
More informationChapter 14 Logistic Regression Models
Chapter 4 Logstc Regresso Models I the lear regresso model X β + ε, there are two types of varables explaatory varables X, X,, X k ad study varable y These varables ca be measured o a cotuous scale as
More informationBayes Estimator for Exponential Distribution with Extension of Jeffery Prior Information
Malaysa Joural of Mathematcal Sceces (): 97- (9) Bayes Estmator for Expoetal Dstrbuto wth Exteso of Jeffery Pror Iformato Hadeel Salm Al-Kutub ad Noor Akma Ibrahm Isttute for Mathematcal Research, Uverst
More informationA New Measure of Probabilistic Entropy. and its Properties
Appled Mathematcal Sceces, Vol. 4, 200, o. 28, 387-394 A New Measure of Probablstc Etropy ad ts Propertes Rajeesh Kumar Departmet of Mathematcs Kurukshetra Uversty Kurukshetra, Ida rajeesh_kuk@redffmal.com
More informationLaboratory I.10 It All Adds Up
Laboratory I. It All Adds Up Goals The studet wll work wth Rema sums ad evaluate them usg Derve. The studet wll see applcatos of tegrals as accumulatos of chages. The studet wll revew curve fttg sklls.
More informationC-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 informationAlgorithms Theory, Solution for Assignment 2
Juor-Prof. Dr. Robert Elsässer, Marco Muñz, Phllp Hedegger WS 2009/200 Algorthms Theory, Soluto for Assgmet 2 http://lak.formatk.u-freburg.de/lak_teachg/ws09_0/algo090.php Exercse 2. - Fast Fourer Trasform
More informationMultiple Linear Regression Analysis
LINEA EGESSION ANALYSIS MODULE III Lecture - 4 Multple Lear egresso Aalyss Dr. Shalabh Departmet of Mathematcs ad Statstcs Ida Isttute of Techology Kapur Cofdece terval estmato The cofdece tervals multple
More informationComparison of Parameters of Lognormal Distribution Based On the Classical and Posterior Estimates
Joural of Moder Appled Statstcal Methods Volume Issue Artcle 8 --03 Comparso of Parameters of Logormal Dstrbuto Based O the Classcal ad Posteror Estmates Raja Sulta Uversty of Kashmr, Sragar, Ida, hamzasulta8@yahoo.com
More informationNon-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 informationOrdinary 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 informationρ < 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 informationAn Innovative Algorithmic Approach for Solving Profit Maximization Problems
Matheatcs Letters 208; 4(: -5 http://www.scecepublshggroup.co/j/l do: 0.648/j.l.208040. ISSN: 2575-503X (Prt; ISSN: 2575-5056 (Ole A Iovatve Algorthc Approach for Solvg Proft Maxzato Probles Abul Kala
More informationComparison of Dual to Ratio-Cum-Product Estimators of Population Mean
Research Joural of Mathematcal ad Statstcal Sceces ISS 30 6047 Vol. 1(), 5-1, ovember (013) Res. J. Mathematcal ad Statstcal Sc. Comparso of Dual to Rato-Cum-Product Estmators of Populato Mea Abstract
More informationLecture 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 informationRademacher Complexity. Examples
Algorthmc Foudatos of Learg Lecture 3 Rademacher Complexty. Examples Lecturer: Patrck Rebesch Verso: October 16th 018 3.1 Itroducto I the last lecture we troduced the oto of Rademacher complexty ad showed
More informationA Characterization of Jacobson Radical in Γ-Banach Algebras
Advaces Pure Matheatcs 43-48 http://dxdoorg/436/ap66 Publshed Ole Noveber (http://wwwscrporg/joural/ap) A Characterzato of Jacobso Radcal Γ-Baach Algebras Nlash Goswa Departet of Matheatcs Gauhat Uversty
More informationComparing 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 informationModule 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 informationSTK4011 and STK9011 Autumn 2016
STK4 ad STK9 Autum 6 Pot estmato Covers (most of the followg materal from chapter 7: Secto 7.: pages 3-3 Secto 7..: pages 3-33 Secto 7..: pages 35-3 Secto 7..3: pages 34-35 Secto 7.3.: pages 33-33 Secto
More informationDIFFERENTIAL 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 informationROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K
ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu
More informationBounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy
Bouds o the expected etropy ad KL-dvergece of sampled multomal dstrbutos Brado C. Roy bcroy@meda.mt.edu Orgal: May 18, 2011 Revsed: Jue 6, 2011 Abstract Iformato theoretc quattes calculated from a sampled
More informationDepartment of Mechanical Engineering ME 322 Mechanical Engineering Thermodynamics. Ideal Gas Mixtures. Lecture 31
Departet of echacal Egeerg E 322 echacal Egeerg Therodyacs Ideal Gas xtures Lecture 31 xtures Egeerg Applcatos atural gas ethae, ethae, propae, butae, troge, hydroge, carbo doxde, ad others Refrgerats
More informationL5 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 informationModule 7. Lecture 7: Statistical parameter estimation
Lecture 7: Statstcal parameter estmato Parameter Estmato Methods of Parameter Estmato 1) Method of Matchg Pots ) Method of Momets 3) Mamum Lkelhood method Populato Parameter Sample Parameter Ubased estmato
More informationLecture 8 IEEE DCF Performance
Lecture 8 IEEE82. DCF Perforace IEEE82. DCF Basc Access Mechas A stato wth a ew packet to trast otors the chael actvty. If the chael s dle for a perod of te equal to a dstrbuted terfrae space (DIFS), the
More informationCIS 800/002 The Algorithmic Foundations of Data Privacy October 13, Lecture 9. Database Update Algorithms: Multiplicative Weights
CIS 800/002 The Algorthmc Foudatos of Data Prvacy October 13, 2011 Lecturer: Aaro Roth Lecture 9 Scrbe: Aaro Roth Database Update Algorthms: Multplcatve Weghts We ll recall aga) some deftos from last tme:
More information