Physically Motivated Generalized Parton Distributions
|
|
- Vivien Fowler
- 5 years ago
- Views:
Transcription
1 hyscally otvated Geeralzed arto Dstrbutos J. Osvaldo Gozalez H. Fourth Year Sear
2 OUTLINE otvato: DVCS Observables ad GD s How to Buld a araetrzato? ossble applcatos Ogog ad Future rojects
3 DVCS Lght coe coordates e e y z large 3-oetu 3
4 Lght coe coordates DVCS 0 oetu Coservato relatve to roto Eergy Coservato covarat O-shell artos te ordered z y y 4
5 DVCS e e γ e e γ 5
6 DVCS q q = q+δ = - Δ γ * γ 6
7 q q+δ = - Δ DVCS Jμ s the teractg curret. μν ε I* ε J μν s a Loretz varat. e d e T[ J J 0] 4 Apltude depeds o three Loretz varats Q * I J q I J Q p q where 7
8 DVCS q + q q = q+δ = - Δ Asyptotc freedo QCD observable Bjore lt. = - Δ Q q Q q B fte e d 4 e T[ j j 0] ; j Ψ γ Ψ Relevat varats : t 8
9 DVCS 9
10 DVCS s s U U q q Tr e 0
11 DVCS s s U U q q Tr e 4 4 q q Tr d e z e z d z 0 4
12 DVCS 4 4 q q q q Tr e d e z z at z dz F F d g e z S e Bjore Lt s s U σ E H U F
13 DVCS 4 4 q q q q Tr e d e ~ ~ 5 z z at z dz F F d g e z A e Bjore Lt s s U E H U F ~ ~ ~ 5 5 3
14 Observables ad GD s Helcty o-flp Helcty flp Upolarzed rotos olarzed rotos H ~ H E ~ E Real fuctos Loretz Ivarat Reduce to ordary DF s forward lt 4
15 DIS Observables ad GD s Optcal Theore q q = q+δ q q GD Δ 0 DF = - Δ 5
16 Observables ad GD s olyoalty: od od 0 0 t C t B X E X d t C t A X H X d eve eve 6 / / X X
17 Observables ad GD s olyoalty: 0 0 E d F H d F σ F F J 7 od od 0 0 t C t B X E X d t C t A X H X d eve eve / / X X
18 Observables ad GD s olyoalty: 0 0 ~ ~ E d g H d g A g g J A eve eve t B X E X dx t A X H X dx ~ ~ ~ ~ / / X X
19 It s ot possble to calculate GD s by eleetary eas operturbatve ature of QCD Soe odels have bee bult:. Burardt 00.Dehl T.Felda Jaob Kroll 005. Gudal olyaov RadyushyVaderhaege005 Ca we corporate soe hyscs to a paraetrzato? 9
20 Dquar odel roto s thought as beg coposed by a quar a dquar of ass ust cosder: Loretz Ivarace arty Sp propertes Dquar S= 0 Dquar S= ust be a aal vector Costras Drac Structure 0
21 Dquar odel What s ths verte?
22 Dquar odel Verte fucto ca be wrtte as: z Aal couplg Scalar couplg y g asc guaratees sall perpedcular copoets of oetu araetrzato wored out usg scalar couplg. Slar to eyerulders
23 Dquar odel What s ths verte? Sp Case: Soe of these choces produce cubersoe epressos. 3
24 Dquar odel 008 Gaberg Goldste Schlegel q q DF A epresso for a GD would ot be as sple.
25 Dquar odel * I J g f g f_scalar f Regge Behavor?? f_aal 5
26 How to Buld a araetrzato? 6
27 The recpe Tae Scalar dquar odel. Calculate GD s : Covarat calculato. Lght Coe Foc Epaso. Reggezato. F araeters: Altarell-ars equatos. = 0 case: GD s DF s. ζ = 0 case: Ft to For Factors. 7
28 Covarat vs Te Ordered Covarat Lght Coe Foc Epaso + = s s U σ E H U F F d g e 8
29 Covarat vs Te Ordered Covarat g g Tr d... Calculate resdues Get result!!! g 9
30 Covarat vs Te Ordered Lght Coe Foc Epaso Start fro atr eleet: e F dz z 0 z at z 0 z 0. LC Wave Fuctos Calculate LCWF Get result!!! 30
31 Covarat vs Te Ordered Covarat Lght Coe Foc Epaso Not Clear how to treat verte: g Verte fucto sees to chage pole structure What s o-shell? 3
32 Covarat vs Te Ordered Covarat Lght Coe Foc Epaso Relates O-shell codtos to TOT Keatc regos are easly terpreted partoc pcture 3
33 Covarat vs Te Ordered Covarat Lght Coe Foc Epaso D q q DGLA D q q ERBL atquar wth 33
34 Covarat vs Te Ordered Covarat Lght Coe Foc Epaso Use to detere for of verte TOT Use Foc epaso to calculate atr eleet F. s s U σ E H U F F d g e Chec pole structure 34
35 Regge Behavor? Fro Regge Theory f s t p t Burardt 35
36 Regge Behavor? Have s paraers p 36
37 F araeters Tae to accout Altarell-ars equatos q q = q+δ = - Δ 37
38 F araeters = 0 case: GD s DF s. H 00 f ~ H 00 g F Λ α δ = 0 case: Ft to For Factors. F d H F d E g A 0 0 ~ ~ g d E 0 d H 0 F βp 38
39 Results DGLA d H D 6 3 d E D 6 3 3/ 3/ ] [ ] [ L L D L 39
40 Results ERBL Results d H E 6 3 d E E 6 3 ] ~ [ ] [ L L E ~ L 40
41 Results DGLA d H D 6 ~ 3 d E D 6 4 ~ 3 3/ 3/ ] [ ] [ L L D L 4
42 Results ERBL Results d H E 6 ~ 3 d E E 6 4 ~ 3 ] ~ [ ] [ L L E ~ L 4
43 Results Soe propertes: Cotuty of DGLA ad ERBL Helcty structure. S 3/ ] [ ] [ L D E at ~ * * F F p s p s p s p s 5 A DGLA 43
44 Results Soe propertes: Cotuty of DGLA ad ERBL Helcty structure. S 3/ ] [ ] [ L D E at ~ * * F F p s p s p s p s 5 A ERBL 44
45 relary Nuercal Results DGLA Forward Lt for H H 00 45
46 relary Nuercal Results DGLA For δ = 0 H For δ = 0 E H E 46
47 relary Nuercal Results DGLA For δ = 0 ~ H H ~ 47
48 relary Nuercal Results DGLA For δ = 0 ~ H ~ E Dverges at δ = 0 ad at Δ = H ~ 48
49 relary Nuercal Results DGLA For δ = 0 ~ H For δ = δ a ~ E H ~ E ~ 49
50 ossble Aplcatos Data Aalyss for DVCS Jefferso Lab Neutro o-producto INERvA Ferlab 50
51 Ogog ad Future rojects ERBL Ipleetato of our paraetrzato Neutro oproducto data aalyss. Regge Behavor. 5
52 GRACIAS 5
53 GRACIAS 53
54 GRACIAS 54
55 GRACIAS 55
56 ore dagras Radatve Correctos Fal State Iteractos q q = q+δ q q = q+δ = - Δ = - Δ q q = q+δ q q = q+δ = - Δ = - Δ 56
Coherent 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 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 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 informationIntroduction. Free Electron Fermi Gas. Energy Levels in One Dimension
ree Electro er Gas Eergy Levels Oe Deso Effect of eperature o the er-drac Dstrbuto ree Electro Gas hree Desos Heat Capacty of the Electro Gas Electrcal Coductvty ad Oh s Law Moto Magetc elds heral Coductvty
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 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 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 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 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 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 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 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 informationA Penalty Function Algorithm with Objective Parameters and Constraint Penalty Parameter for Multi-Objective Programming
Aerca Joural of Operatos Research, 4, 4, 33-339 Publshed Ole Noveber 4 ScRes http://wwwscrporg/oural/aor http://ddoorg/436/aor4463 A Pealty Fucto Algorth wth Obectve Paraeters ad Costrat Pealty Paraeter
More informationCHAPTER 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 information1 Lyapunov Stability Theory
Lyapuov Stablty heory I ths secto we cosder proofs of stablty of equlbra of autoomous systems. hs s stadard theory for olear systems, ad oe of the most mportat tools the aalyss of olear systems. It may
More informationStationary 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 informationEconomic drivers. Input and output prices Adjustment under ITQs
Ecoomc drvers Iput ad output prces Adjustmet uder ITQs Outle Questo beg examed How are fshers lely to adjust ther fshg operatos uder ITQs? Methodologes to loo at the ssue Cost fuctos Proft fuctos Case
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 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 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 informationfor each of its columns. A quick calculation will verify that: thus m < dim(v). Then a basis of V with respect to which T has the form: A
Desty of dagoalzable square atrces Studet: Dael Cervoe; Metor: Saravaa Thyagaraa Uversty of Chcago VIGRE REU, Suer 7. For ths etre aer, we wll refer to V as a vector sace over ad L(V) as the set of lear
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 informationA Bivariate Distribution with Conditional Gamma and its Multivariate Form
Joural of Moder Appled Statstcal Methods Volue 3 Issue Artcle 9-4 A Bvarate Dstrbuto wth Codtoal Gaa ad ts Multvarate For Sue Se Old Doo Uversty, sxse@odu.edu Raja Lachhae Texas A&M Uversty, raja.lachhae@tauk.edu
More informationReview Exam I Complex Analysis. Cauchy s Integral Formula (#0). Let G be a region in C, let Bar (, ) G and let γ be the circle C(a,r), oriented.
Revew Exa I Coplex Aalyss Uderled Deftos: May be ased for o exa Uderled Propostos or Theores: Proofs ay be ased for o exa Cauchy s Itegral Forula (#) Let G be a rego C, let Bar (, ) G ad let be the crcle
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 informationEllipsometry Overview
llpsometry Overvew ~ R Δ p ρ = ta( Ψ) e = ~ Rs ñ(λ) = (λ) + k(λ) ε = ñ 2 p-plae s-plae p-plae plae of cdece s-plae llpsometry buldg-blocks Lght ad Polarzato Materals / Optcal Costats Iteracto of Lght wth
More informationDKA method for single variable holomorphic functions
DKA method for sgle varable holomorphc fuctos TOSHIAKI ITOH Itegrated Arts ad Natural Sceces The Uversty of Toushma -, Mamhosama, Toushma, 770-8502 JAPAN Abstract: - Durad-Kerer-Aberth (DKA method for
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 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 informationELECTRON HEATING IN THE CONDUCTION BAND OF INSULATORS UNDER FEMTOSECOND LASER PULSE IRRADIATION
LCTRON HATING IN TH CONDUCTION BAND OF INSULATORS UNDR FMTOSCOND LASR PULS IRRADIATION Ilya Bogatyrev H. Bacau A.N. Belsy I.B. Bogatyrev J. Gaud G. Geoffroy S. Guzard P. Mart Yu.V. Popov A.N. Vasl ev B.N.
More informationThe Geometric Least Squares Fitting Of Ellipses
IOSR Joural of Matheatcs (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volue 4, Issue 3 Ver.I (May - Jue 8), PP -8 www.osrourals.org Abdellatf Bettayeb Departet of Geeral Studes, Jubal Idustral College, Jubal
More informationThe theoretical background of
he theoretcal backgroud of -echologes he theoretcal backgroud of FactSage he followg sldes gve a abrdged overvew of the ajor uderlyg prcples of the calculatoal odules of FactSage. -echologes he bbs Eergy
More informationECE 595, Section 10 Numerical Simulations Lecture 19: FEM for Electronic Transport. Prof. Peter Bermel February 22, 2013
ECE 595, Secto 0 Numercal Smulatos Lecture 9: FEM for Electroc Trasport Prof. Peter Bermel February, 03 Outle Recap from Wedesday Physcs-based devce modelg Electroc trasport theory FEM electroc trasport
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 informationChapter 4: Linear Momentum and Collisions
Chater 4: Lear oetu ad Collsos 4.. The Ceter o ass, Newto s Secod Law or a Syste o artcles 4.. Lear oetu ad Its Coserato 4.3. Collso ad Iulse 4.4. oetu ad Ketc Eergy Collsos 4.. The Ceter o ass. Newto
More informationBasic Concepts in Numerical Analysis November 6, 2017
Basc Cocepts Nuercal Aalyss Noveber 6, 7 Basc Cocepts Nuercal Aalyss Larry Caretto Mecacal Egeerg 5AB Sear Egeerg Aalyss Noveber 6, 7 Outle Revew last class Mdter Exa Noveber 5 covers ateral o deretal
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 informationA Family of Non-Self Maps Satisfying i -Contractive Condition and Having Unique Common Fixed Point in Metrically Convex Spaces *
Advaces Pure Matheatcs 0 80-84 htt://dxdoorg/0436/a04036 Publshed Ole July 0 (htt://wwwscrporg/oural/a) A Faly of No-Self Mas Satsfyg -Cotractve Codto ad Havg Uque Coo Fxed Pot Metrcally Covex Saces *
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 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 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 informationRelations to Other Statistical Methods Statistical Data Analysis with Positive Definite Kernels
Relatos to Other Statstcal Methods Statstcal Data Aalyss wth Postve Defte Kerels Kej Fukuzu Isttute of Statstcal Matheatcs, ROIS Departet of Statstcal Scece, Graduate Uversty for Advaced Studes October
More informationKantowski-Sachs Cosmological Model in f(r,t) Theory of Gravity
he Afrca Revew of Physcs (05 0:009 9 Katows-Sachs Cosologcal Model f(r, heory of Gravty V. U. M. Rao,* ad G. Suryaarayaa Deartet of Aled Matheatcs, Adhra Uversty, Vsahaata, Ida Deartet of Matheatcs, ANIS,
More informationQueueing Networks. γ 3
Queueg Networks Systes odeled by queueg etworks ca roughly be grouped to four categores. Ope etworks Custoers arrve fro outsde the syste are served ad the depart. Exaple: acket swtched data etwork. γ µ
More information5. Data Compression. Review of Last Lecture. Outline of the Lecture. Course Overview. Basics of Information Theory: Markku Juntti
: Markku Jutt Overvew The deas of lossless data copresso ad source codg are troduced ad copresso lts are derved. Source The ateral s aly based o Sectos 5. 5.5 of the course book []. Teleco. Laboratory
More informationThe Application of hybrid BEM/FEM methods to solve Electrical Impedance Tomography s forward problem for the human head
The Applcato of hybrd / methods to solve Electrcal Impedace Tomography s forward problem for the huma head S.R. Arrdge, R.H. ayford, L. Horesh ad J. Skora March, Abstract The forward problem Electrcal
More informationObjectives of Multiple Regression
Obectves of Multple Regresso Establsh the lear equato that best predcts values of a depedet varable Y usg more tha oe eplaator varable from a large set of potetal predctors {,,... k }. Fd that subset of
More informationThe Modified Bi-quintic B-spline Base Functions: An Application to Diffusion Equation
Iteratoal Joural of Partal Dfferetal Equatos ad Applcatos 017 Vol. No. 1 6-3 Avalable ole at http://pubs.scepub.co/jpdea//1/4 Scece ad Educato Publshg DOI:10.1691/jpdea--1-4 The Modfed B-qutc B-sple Base
More informationECON 5360 Class Notes GMM
ECON 560 Class Notes GMM Geeralzed Method of Momets (GMM) I beg by outlg the classcal method of momets techque (Fsher, 95) ad the proceed to geeralzed method of momets (Hase, 98).. radtoal Method of Momets
More informationLecture 8. A little bit of fun math Read: Chapter 7 (and 8) Finite Algebraic Structures
Lecture 8 A lttle bt of fu ath Read: Chapter 7 (ad 8) Fte Algebrac Structures Groups Abela Cyclc Geerator Group order Rgs Felds Subgroups Euclda Algorth CRT (Chese Reader Theore) 2 GROUPs DEFINITION: A
More information. 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 informationPerformance of a Queuing System with Exceptional Service
Iteratoal Joural o Eeer ad Matheatcal Sceces Ja.- Jue 0, Volue, Issue, pp.66-79 ISSN Prt 39-4537, Ole 39-4545. All rhts reserved www.jes.or IJEMS Abstract Perorace o a Queu Syste wth Exceptoal Servce Dr.
More informationECE606: Solid State Devices Lecture 13 Solutions of the Continuity Eqs. Analytical & Numerical
ECE66: Sold State Devces Lecture 13 Solutos of the Cotuty Eqs. Aalytcal & Numercal Gerhard Klmeck gekco@purdue.edu Outle Aalytcal Solutos to the Cotuty Equatos 1) Example problems ) Summary Numercal Solutos
More informationInitial-Value Problems for ODEs. numerical errors (round-off and truncation errors) Consider a perturbed system: dz dt
Ital-Value Problems or ODEs d GIVEN: t t,, a FIND: t or atb umercal errors (roud-o ad trucato errors) Cosder a perturbed sstem: dz t, z t, at b z a a Does z(t) (t)? () (uqueess) a uque soluto (t) exsts
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 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 informationCamera calibration & radiometry
Caera calbrato & radoetr Readg: Chapter 2, ad secto 5.4, Forsth & oce Chapter, Hor Optoal readg: Chapter 4, Forsth & oce Sept. 2, 22 MI 6.8/6.866 rofs. Freea ad Darrell Req: F 2, 5.4, H Opt: F 4 Req: F
More informationFREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM
Joural of Appled Matematcs ad Computatoal Mecacs 04, 3(4), 7-34 FREQUENCY ANALYSIS OF A DOUBLE-WALLED NANOTUBES SYSTEM Ata Cekot, Stasław Kukla Isttute of Matematcs, Czestocowa Uversty of Tecology Częstocowa,
More informationTHE COMPLETE ENUMERATION OF FINITE GROUPS OF THE FORM R 2 i ={R i R j ) k -i=i
ENUMERATON OF FNTE GROUPS OF THE FORM R ( 2 = (RfR^'u =1. 21 THE COMPLETE ENUMERATON OF FNTE GROUPS OF THE FORM R 2 ={R R j ) k -= H. S. M. COXETER*. ths paper, we vestgate the abstract group defed by
More informationMechanics of Materials CIVL 3322 / MECH 3322
Mechacs of Materals CVL / MECH Cetrods ad Momet of erta Calculatos Cetrods = A = = = A = = Cetrod ad Momet of erta Calculatos z= z A = = Parallel As Theorem f ou kow the momet of erta about a cetrodal
More informationX-ray vortices from nonlinear inverse Thomson scattering
JLab semar 8/7/6 X-ray vortces from olear verse Thomso scatterg Yoshtaka Tara Natoal Isttute of Advaced Idustral Scece ad Techology (AIST) Vstg scetst: Msssspp State Uversty ad Jefferso Lab. Optcal vortex
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 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 informationA Variable Structure Model Reference Adaptive Control For MIMO Systems
Proceedgs of the Iteratoal ultcoferece of Egeers ad Coputer Scetsts 8 Vol II IECS 8 9- arch 8 Hog Kog A Varale Structure odel Referece Adaptve Cotrol For IO Systes Ardeshr Kara ohaad Astract A Varale Structure
More informationIII-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 informationBlock-Based Compact Thermal Modeling of Semiconductor Integrated Circuits
Block-Based Compact hermal Modelg of Semcoductor Itegrated Crcuts Master s hess Defese Caddate: Jg Ba Commttee Members: Dr. Mg-Cheg Cheg Dr. Daqg Hou Dr. Robert Schllg July 27, 2009 Outle Itroducto Backgroud
More informationLecture 14. P-N Junction Diodes: Part 3 Quantitative Analysis (Math, math and more math) Reading: Pierret 6.1
Lctur 4 - ucto ods art 3 Quattatv alyss Math, math ad mor math Radg rrt 6. Gorga Tch ECE 3040 - r. la oolttl Quattatv - od Soluto ssumtos stady stat codtos o- dgrat dog 3 o- dmsoal aalyss 4 low- lvl jcto
More informationA Proof of Factorization Theorem of Drell Yan Process at Operator Level
Commu. Theor. Phys. 65 (206 93 203 Vol. 65, No. 2, February, 206 A Proof of Factorzato Theorem of Drell Ya Process at Operator Level Gao-Lag Zhou ( Ô Key Laboratory of Froters Theoretcal Physcs, Isttute
More informationTRANSIENT PLANE WAVES IN MULTILAYERED HALF-SPACE
acta echaca et autoatca vol.7 o. (3) DOI.478/aa-3- TRANSIENT PLANE WAVES IN MULTILAYERED HALF-SPACE Ihor TURCHYN * Olga TURCHYN ** * Iva Frako Natoal Uversty of L vv Uverstetska L vv Ukrae ** Ukraa Natoal
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 informationb) Choose one o f the graphs in part a that did b) is the atomic number o f
REVIEW ad f^l^h^s. Ths table shows soe Northwest Coast artsts ad ther cultural hertage. Artst Hertage Bob Depse Tlgt Doroth Grat Hada Bll Hel Tssha Joh Joseph Squash Judth P. Morga Gtxsa Bll Red Hada a)
More informationDecomposition of Hadamard Matrices
Chapter 7 Decomposto of Hadamard Matrces We hae see Chapter that Hadamard s orgal costructo of Hadamard matrces states that the Kroecer product of Hadamard matrces of orders m ad s a Hadamard matrx of
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 informationOn Hilbert Kunz Functions of Some Hypersurfaces
JOURNAL OF ALGEBRA 199, 499527 1998 ARTICLE NO. JA977206 O HlbertKuz Fuctos of Soe Hypersurfaces L Chag* Departet of Matheatcs, Natoal Tawa Uersty, Tape, Tawa ad Yu-Chg Hug Departet of Matheatcs, Natoal
More informationDepartment of Mathematics UNIVERSITY OF OSLO. FORMULAS FOR STK4040 (version 1, September 12th, 2011) A - Vectors and matrices
Deartet of Matheatcs UNIVERSITY OF OSLO FORMULAS FOR STK4040 (verso Seteber th 0) A - Vectors ad atrces A) For a x atrx A ad a x atrx B we have ( AB) BA A) For osgular square atrces A ad B we have ( )
More informationPower Flow S + Buses with either or both Generator Load S G1 S G2 S G3 S D3 S D1 S D4 S D5. S Dk. Injection S G1
ower Flow uses wth ether or both Geerator Load G G G D D 4 5 D4 D5 ecto G Net Comple ower ecto - D D ecto s egatve sg at load bus = _ G D mlarl Curret ecto = G _ D At each bus coservato of comple power
More informationBERNSTEIN 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 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 informationTheory study about quarter-wave-stack dielectric mirrors
Theor tud about quarter-wave-tack delectrc rror Stratfed edu tratted reflected reflected Stratfed edu tratted cdet cdet T T Frt, coder a wave roagato a tratfed edu. A we kow, a arbtrarl olared lae wave
More informationOrder Nonlinear Vector Differential Equations
It. Joural of Math. Aalyss Vol. 3 9 o. 3 39-56 Coverget Power Seres Solutos of Hgher Order Nolear Vector Dfferetal Equatos I. E. Kougas Departet of Telecoucato Systes ad Networs Techologcal Educatoal Isttute
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 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 informationMATRIX ANALYSIS OF ANCHORED STRUCTURES
SES It Cof o DMIL SSEMS ad COOL ece Ita oveber - pp-8 M LSIS OF CHOED SES IOS MSOIS Head of the Departet of Coputer Scece Mtar Ist of verst Educato / Heec ava cade era Hatraou 8 Praeus GEECE http://wwwwseasorg/astoras
More informationAN EULER-MC LAURIN FORMULA FOR INFINITE DIMENSIONAL SPACES
AN EULER-MC LAURIN FORMULA FOR INFINITE DIMENSIONAL SPACES Jose Javer Garca Moreta Graduate Studet of Physcs ( Sold State ) at UPV/EHU Address: P.O 6 890 Portugalete, Vzcaya (Spa) Phoe: (00) 3 685 77 16
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 informationDYNAMIC ANALYSIS OF CONCRETE RECTANGULAR LIQUID STORAGE TANKS
The 4 th World Coferece o Earthquake Egeerg October 2-7, 28, Bejg, Cha DYNAMIC ANAYSIS OF CONCRETE RECTANGUAR IQUID STORAGE TANKS J.Z. Che, A.R. Ghaemmagham 2 ad M.R. Kaoush 3 Structural Egeer, C2M I Caada,
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 informationarxiv:hep-ph/ v1 18 Nov 2002
A Complete Bass for Power Suppressed Collear-Ultrasoft Operators Da Prjol ad Ia W. Stewart Departmet of Physcs ad Astroomy, The Johs Hopks Uversty, INT-PUB--49 arxv:hep-ph/5 v 8 Nov Baltmore, MD 8 Λ Isttute
More informationCS5620 Intro to Computer Graphics
CS56 Itro to Computer Graphcs Geometrc Modelg art II Geometrc Modelg II hyscal Sples Curve desg pre-computers Cubc Sples Stadard sple put set of pots { } =, No dervatves specfed as put Iterpolate by cubc
More informationVIII Dynamics of Systems of Particles
VIII Dyacs of Systes of Patcles Cete of ass: Cete of ass Lea oetu of a Syste Agula oetu of a syste Ketc & Potetal Eegy of a Syste oto of Two Iteactg Bodes: The Reduced ass Collsos: o Elastc Collsos R whee:
More informationCS 2750 Machine Learning. Lecture 7. Linear regression. CS 2750 Machine Learning. Linear regression. is a linear combination of input components x
CS 75 Mache Learg Lecture 7 Lear regresso Mlos Hauskrecht los@cs.ptt.edu 59 Seott Square CS 75 Mache Learg Lear regresso Fucto f : X Y s a lear cobato of put copoets f + + + K d d K k - paraeters eghts
More informationSUPER GRACEFUL LABELING FOR SOME SPECIAL GRAPHS
IJRRAS 9 ) Deceber 0 www.arpapress.co/volues/vol9issue/ijrras_9 06.pdf SUPER GRACEFUL LABELING FOR SOME SPECIAL GRAPHS M.A. Perual, S. Navaeethakrsha, S. Arockara & A. Nagaraa 4 Departet of Matheatcs,
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 information= lim. (x 1 x 2... x n ) 1 n. = log. x i. = M, n
.. Soluto of Problem. M s obvously cotuous o ], [ ad ], [. Observe that M x,..., x ) M x,..., x ) )..) We ext show that M s odecreasg o ], [. Of course.) mles that M s odecreasg o ], [ as well. To show
More informationTraining Sample Model: Given n observations, [[( Yi, x i the sample model can be expressed as (1) where, zero and variance σ
Stat 74 Estmato for Geeral Lear Model Prof. Goel Broad Outle Geeral Lear Model (GLM): Trag Samle Model: Gve observatos, [[( Y, x ), x = ( x,, xr )], =,,, the samle model ca be exressed as Y = µ ( x, x,,
More informationChapter 8 Heteroskedasticity
Chapter 8 Heteroskedastct I the ultple regresso odel Xβ + ε, t s assued that e, V ( ε) I, Var( ε ), Cov( εε ), j,,, j I ths case, the dagoal eleets of covarace atrx of ε are sae dcatg that the varace of
More informationEvolution Operators and Boundary Conditions for Propagation and Reflection Methods
voluto Operators ad for Propagato ad Reflecto Methods Davd Yevck Departmet of Physcs Uversty of Waterloo Physcs 5/3/9 Collaborators Frak Schmdt ZIB Tlma Frese ZIB Uversty of Waterloo] atem l-refae Nortel
More informationLinear Regression with One Regressor
Lear Regresso wth Oe Regressor AIM QA.7. Expla how regresso aalyss ecoometrcs measures the relatoshp betwee depedet ad depedet varables. A regresso aalyss has the goal of measurg how chages oe varable,
More informationSTATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS. x, where. = y - ˆ " 1
STATISTICAL PROPERTIES OF LEAST SQUARES ESTIMATORS Recall Assumpto E(Y x) η 0 + η x (lear codtoal mea fucto) Data (x, y ), (x 2, y 2 ),, (x, y ) Least squares estmator ˆ E (Y x) ˆ " 0 + ˆ " x, where ˆ
More information3D Reconstruction from Image Pairs. Reconstruction from Multiple Views. Computing Scene Point from Two Matching Image Points
D Recostructo fro Iage ars Recostructo fro ultple Ves Dael Deetho Fd terest pots atch terest pots Copute fudaetal atr F Copute caera atrces ad fro F For each atchg age pots ad copute pot scee Coputg Scee
More information