Towards three-loop QCD corrections to the time-like splitting functions

Size: px
Start display at page:

Download "Towards three-loop QCD corrections to the time-like splitting functions"

Transcription

1 Towards three-loop QCD correctons to the tme-lke splttng functons Insttute of Nuclear Physcs (Cracow) Sven-Olaf Moch Unversty of Hamburg Radcor-Loopfest Symposum Los Angeles (USA) 15 Jun 2015

2 Three-loop tme-lke g q splttng functon three-loop aka NNLO aka O(α 3 s ) tme-lke hard scale q 2 > 0 off-dagonal P T qg (x, α s(q 2 )) term

3 Splttng functons n perturbaton theory Splttng Functons unversal quanttes n QCD (process ndependent) govern collnear evoluton n hard scatterng processes wth hadrons n ntal state (a space-lke hard-scale Q 2 = q 2 > 0) d d ln q 2 f h a (x, q 2 ) = 1 x dz ( ) ( z PS ab z, α s(q 2 ) fb h x z, q2) n fnal state (a tme-lke hard-scale Q 2 = q 2 > 0) d d ln q 2 Dh a (x, q 2 ) = 1 x dz ( ) ( z PT ba z, α s(q 2 ) Db h x z, q2) can be computed n perturbaton theory Pba T ( x, αs (q 2 ) ) = α ( s αs ) 2 ( 4π P(0)T (1)T αs ) 3 (2)T ba (x) + P ba (x) + P ba (x) π 4π

4 Splttng Functons at NLO: avalable results axal gauge Prncpal Value Space-lke Curc, Furmansk, Petronzo 80; Ells, Vogelsang 98 Mandelstam-Lebbrandt Bassetto, Henrch, Kunszt, Vogelsang 98 New Prncpal Value OG, Jadach, Skrzypek, Kusna 14 Feynman gauge Floratos, Kounnas, Lacaze 81 Melln space Moch, Vermaseren 99 Tme-lke axal gauge Prncpal Value Furmansk, Petronzo 80 Feynman gauge Floratos, Kounnas, Lacaze 81 Melln space Mtov, Moch 06 analytc contnuaton (Pab S PT ba ) Stratmann, Vogelsang 96; Blumlen, Ravndran, van Neerven 00; Moch, Vogt 07

5 Analytc Contnuaton Technque Analytc contnuaton n energy q 2 +q 2 Drell-Yan-Levy relaton Drell, Levy, Yan 70 Grbov-Lpatov relaton Grbov, Lpatov 72 Relaton between space- and tme-lke fragmentaton functons ( ) 1 F T (x) = x F S x Examples pqq T (0) (x) = pqq S(0) (x) = 1 + x 2 1 x pqg T (0) (x) = pgq S(0) 1 + (1 x)2 (x) = x pgq T (0) (x) = pqg S(0) (x) = x + (1 x) 2 pgg T (0) (x) = pgg S(0) (x) = (1 x + x 2 ) 2 x(1 x) Beware: nave verson of these relatons s not vald beyond LO

6 Splttng Functons at NNLO: avalable results Space-lke Tme-lke Melln space Moch, Vermaseren, Vogt 04 analytc contnuaton (P S ab PT ba ) NNLO non-snglet Mtov, Moch, Vogt 06 NNLO snglet (P T qq, P T gg ) Moch, Vogt 07 NNLO snglet (P T gq, P T qg ) Almasy, Moch, Vogt 11 In summary, these consderatons are stll not suffcent to defntely fx the rght-hand-sde of P T (2) qg. As an estmate of the remanng uncertanty we suggest to use the offset:... Almasy, Moch, Vogt 11

7 Introducton: Summary Three-loop tme-lke P T (2) qg splttng functon s stll mssng and should be calculated drectly. Outlne: 1. The Method mass factorzaton fragmentaton functons for e + e γ, φ partons 2. Fnal-State Integraton (analytc) IBP reducton dfferental equatons for masters choce of the approprate bass for masters boundary condtons

8 Cross-secton at LO q k 0 k 0 q k 0 q k 0 k 0 P T qq, P T gq P T qg, P T gg Unpolarzed dfferental cross-secton 1 σ tot d 2 σ H dx d cos θ = 3 8 (1+cos2 θ) F T (x)+ 3 4 sn2 θ F L (x)+ 3 4 cos θ F A(x) Mass factorzaton relatons Vermaseren, Vogt, Moch 05 F (1) T,g (x) = 1 ɛ P gq (0) (x) + c (1) T,g (x) + ɛ a(1) T,g (x) + ɛ2 b (1) T,g (x) F (1) L,g Knematc varables (x) = c(1) L,g (x) + ɛ a(1) L,g (x) + ɛ2 b (1) L,g (x) x = 2q k0 q 2 q 2 = s > 0 0 < x 1

9 Fragmentaton Functons Fragmentaton functons F T (x, ɛ) = F L (x, ɛ) = kµ 0 kν 0 q k 0 W µν F A (x, ɛ) = ( ) 2 q k0 2 m q 2 W µ µ + kµ 0 kν 0 W µν q k 0 3 q α k β 0 (m 2)(m 3) q 2 ɛ µναβ W µν Hadronc tensor W µν (x, ɛ) = x m 3 dps(n) M µ (n) M ν (n) 4π m = 4 2ɛ dps(n) n-partcle fnal-state phase-space M µ (n) ampltudes for the process γ, φ (q µ ) n partons

10 NLO contrbutons to P T gq Transverse Fragmentaton Functon F (2) T = Mass Factorzaton Vermaseren, Vogt, Moch 05 F (2) T = + 1 { 1 2 P(0) g P (0) q ɛ 2 { c (2) g P (0) g a (1) β0p(0) gq } + ɛ } 1 { 1 ɛ { a (2) g P (0) g b (1) } 2 P(1) gq + P(0) g c (1) }

11 NNLO contrbutons to P T gq Transverse Fragmentaton Functon F (3) T = Mass Factorzaton Vermaseren, Vogt, Moch 05 F (3) T = 1 { 1 ɛ 3 6 P(0) g P (0) j P (0) jq β0p(0) g P (0) q { ɛ 2 6 P(0) g P (1) q P(1) g P (0) q 1 { 1 ɛ 3 P(2) gq P(1) g c (1) + P (0) g c (2) { + c (3) g P (0) g a (2) 1 2 P(1) g a (1) β2 0 P(0) gq } β1p(0) gq P(0) g P (0) j c (1) j 1 2 P(0) g P (0) P(0) g P (0) j b (1) j j a (1) j ( 1 + β 0 3 P(1) gq + 1 ) } 2 P(0) g c (1) } 1 2 β0p(0) g a (1) } β0p(0) g b (1)

12 NNLO contrbutons to P T gq Pure-vrtual contrbutons contan overall δ(1 x) factor. We do not consder such contrbutons. Can be extracted from Garland, Gehrmann, Glover, Koukoutsaks, Remdd 01 Calculated by Duhr, Gehrman, Jaquer [hep-ph] One-loop helcty ampltudes by Bern, Dxon, Kosower 97 Fnal-state ntegraton s of NLO complexty smple. Contrbuton s known from analytcal contnuaton by Almasy, Moch, Vogt 11 Unknown!

13 Fnal-state ntegraton The man challenge of the calculaton s n-partcle fnal-state ntegraton: dps(n) = n 1 =0 ( d m k δ + (k 2 ) δ x 2q k ) 0 q 2 n 1 δ(q j=0 k j ) NLO (n = 4) NNLO (n = 5) We attack such ntegrals wth IBP denttes and dfferental equatons Do not mss Methods Sessons on Thursday and Frday afternoons

14 Integraton-by-Parts Identtes QGRAF FORM trace of gamma matrces ndex contracton color traces partal fractonng Mathematca analyze symmetres splt by topologes 8 x 8 dagrams 495 ntegrals 210 x 8 dagrams ntegrals 48 x 48 dagrams ntegrals LteRed fnd IBP reducton rules fnd masters 10 h 8 masters 100 h 83 masters >1000 h 80 masters We consder to swtch to Reduze2 for NNLO calculatons snce LteRed can not solve some sectors.

15 Dfferental Equatons for Masters general representaton f x = n a j (x, ɛ) f j (x, ɛ) j=1 can be easly solved (matrx multplcaton and HPL ntegraton) as ɛ-seres when a j (x, ɛ) = 0 for ɛ 0 n HPLs when alphabet s {x, 1 x, 1 + x} partcular example: a j (x, ɛ) at NLO for γ q qgg (2ɛ 1)(2x 1) (1 x)x ɛ 2 (1 x)x 3ɛ 1 x (2ɛ 1) ɛ 2 0 6ɛ 1 2 (1 x)x(x+1) x+1 x+1 ( ) (2ɛ 1)(3ɛ 1) 2(6ɛ 1) 2ɛ x 2 +3x 2 x 2 x(x+1) (1 x)x(x+1) (2ɛ 1) ( ɛx 2 (x+1) ) ( ) 2 x 2 +4x+1 2(2ɛ 1)(x 1) 2(6ɛ 1)(x 1) 4 x 2 +1 ɛ 2 (1 x)x 3 (x+1) 3 ɛx 3 (x+1) 2 x 2 (x+1) 3 x 2 (x+1) 3 (2ɛ+1)(2x+1) x(x+1) (2ɛ 1) 2ɛ ɛ(1 x)x ( ) 1 x ɛ 2 (1 x) 3 x 3 2(2ɛ 1)(x 2) (x+1) ɛ(1 x) 2 x 3 2(6ɛ 1) 4 x 2 +1 (1 x)x 2 (x+1) (1 x) 2 x 2 0 4ɛ (2ɛ+1)(2x 1) (x+1) (1 x) 2 x (1 x)x (2ɛ+1)(2x 1) (1 x)x

16 Master Algorthm make system regular as ɛ 0 Algorthm I (comng soon) make system zero-dagonal Algorthm II make system zero-trangular Algorthm III solve system (see Henn 13) fnd boundary condtons (2ɛ 1)(2x 1) (1 x)x ɛ 2 (1 x)x 3ɛ 1 x (2ɛ 1) ɛ 2 0 6ɛ 1 2 (1 x)x(x+1) x+1 x+1 ( ) (2ɛ 1)(3ɛ 1) 2(6ɛ 1) 2ɛ x 2 +3x 2 x 2 x(x+1) (1 x)x(x+1) (2ɛ 1) ( ɛx 2 (x+1) ) ( ) 2 x 2 +4x+1 2(2ɛ 1)(x 1) 2(6ɛ 1)(x 1) 4 x 2 +1 ɛ 2 (1 x)x 3 (x+1) 3 ɛx 3 (x+1) 2 x 2 (x+1) 3 x 2 (x+1) 3 (2ɛ+1)(2x+1) x(x+1) (2ɛ 1) 2ɛ ɛ(1 x)x ( ) 1 x ɛ 2 (1 x) 3 x 3 2(2ɛ 1)(x 2) (x+1) ɛ(1 x) 2 x 3 2(6ɛ 1) 4 x 2 +1 (1 x)x 2 (x+1) (1 x) 2 x 2 0 4ɛ (2ɛ+1)(2x 1) (x+1) (1 x) 2 x (1 x)x (2ɛ+1)(2x 1) (1 x)x

17 Algorthm I: fnte bass algorthm s output (2ɛ 1)(2x 1) (1 x)x 3ɛ 2 1 3ɛ (1 x)x x (2ɛ 1) 1 6ɛ 2ɛ 0 (x 1)x(x+1) 1+x x ( (2ɛ 1) x 2 ɛ 2(6ɛ 1) (x+1) x 2 2ɛ x 2 ) +3x ( x(x+1) (x 1)x(x+1) 2ɛ x 2 ) +4x+1 2ɛ 2 (x 1) 2ɛ(x 1) 4ɛ 2 ( x 2 ) +1 (1 x)x 3 (x+1) 3 x 3 (x+1) 2 x 2 (x+1) 3 x 2 (x+1) 3 (2ɛ+1)(2x+1) x(x+1) ɛ ɛ (x 1)x x ɛ (x 1) 3 x 3 2ɛ2 (x 2) 4ɛ (x+1) (x 1) 2 x 3 2ɛ 2( x 2 ) +1 (x 1)x 2 (x+1) (x 1) 2 x 2 0 4ɛ (2ɛ+1)(2x 1) (x+1) x(1 x) 2 0 (1 x)x (2ɛ+1)(2x 1) (1 x)x algorthm s output as ɛ 0 2x (x 1)x 2 1 (x 1)x x (1 x)x(x+1) 0 1 x x (x+1) x(x+1) x+1 x(x+1) x 1 0 (1 x)x x 1 (1 x)x new bass g such that g (x, ɛ) = ɛ n f (x, ɛ) where n are ntegers automated soon

18 Algorthm II: zero-dagonal bass algorthm s nput (ɛ 0 lmt) 2x (x 1)x 2 1 (x 1)x x (1 x)x(x+1) 0 1 x x (x+1) x(x+1) x+1 x(x+1) x 1 0 (1 x)x x 1 (1 x)x algorthm s output (ɛ 0 lmt) 2 (x+1) (x 1) x(x+1) 1 x 2 x new bass g such that g (x, ɛ) = b (x, ɛ)f (x, ɛ) where b (x, ɛ) = exp ( ) dx a (x, ɛ) b 1(x, ɛ) = 1 x(1 x) b 2(x, ɛ) = 1 x b 3(x, ɛ) = 1 1+x...

19 Algorthm III: zero-trangular bass algorthm s nput (ɛ 0 lmt) 2 (x+1) (x 1) x(x+1) 1 x 2 x algorthm s output (ɛ 0 lmt) new bass h such that 1 h (x, ɛ) = c j (x, ɛ) g j (x, ɛ) + g (x, ɛ) where c j (x, ɛ) = dx j=1 j+1 k 1 h 3(x, ɛ) = 2 g1(x, ɛ) + g3(x, ɛ)... 1+x c k (x, ɛ) a kj (x, ɛ) + a j (x, ɛ)

20 Boundary condtons smple master ntegral (green functons are known) f (x, ɛ) = C (0) f (0) (x) + ɛ C (1) f (1) (x) +... correspondng nclusve master F (ɛ) = 1 boundary condtons are found as coeffcents A (j) 0 dx f (x, ɛ) = A (0) + ɛ A (1) +... C (j) = 1 0 A (j) dx f (j) (x) are non-trval to calculate at NNLO

21 To be contnued...

22 Summary Done: Fragmentaton Functons generator (QGRAF + FORM + LteRed + Mathematca) nput: process up to NNLO, e.g. γ q qq qg output: fragmentaton functon n terms of masters Algorthm to fnd masters (Mathematca) ntegral bass choce solutons for masters boundary condtons fnder (manual) In progress: IBP rules wth Reduze Automated boundary condtons fnder Inclusve ntegrals at NNLO

Automated calculations for MPI

Automated calculations for MPI Automated calculatons for MPI Andreas van Hameren Insttute of Nuclear Physcs Polsh Academy of Scences Kraków presented at the 8 th Internatonal Workshop on MPI at the LHC Former Convent of San Agustn,

More information

Implicit Integration Henyey Method

Implicit Integration Henyey Method Implct Integraton Henyey Method In realstc stellar evoluton codes nstead of a drect ntegraton usng for example the Runge-Kutta method one employs an teratve mplct technque. Ths s because the structure

More information

QCD calculations for boosted top production at hadron colliders

QCD calculations for boosted top production at hadron colliders QCD calculatons for boosted top producton at hadron collders Ben Pecjak IPPP Durham Lverpool, March 5, 2014 Why top? Top s specal because of large mass m t 173 GeV plays specal role n many BSM models decays

More information

arxiv: v1 [hep-ph] 3 Jul 2015

arxiv: v1 [hep-ph] 3 Jul 2015 LPSC-15-180 IFJ PAN-IV-2015- Evolution kernels for parton shower Monte Carlo A. Kusina a, O. Gituliar b, S. Jadach b, M. Skrzypek b arxiv:1507.00842v1 [hep-ph Jul 2015 a Laboratoire de Physique Subatomique

More information

Advanced Quantum Mechanics

Advanced Quantum Mechanics Advanced Quantum Mechancs Rajdeep Sensarma! sensarma@theory.tfr.res.n ecture #9 QM of Relatvstc Partcles Recap of ast Class Scalar Felds and orentz nvarant actons Complex Scalar Feld and Charge conjugaton

More information

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

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

More information

Lecture 12: Discrete Laplacian

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

More information

HW #6, due Oct Toy Dirac Model, Wick s theorem, LSZ reduction formula. Consider the following quantum mechanics Lagrangian,

HW #6, due Oct Toy Dirac Model, Wick s theorem, LSZ reduction formula. Consider the following quantum mechanics Lagrangian, HW #6, due Oct 5. Toy Drac Model, Wck s theorem, LSZ reducton formula. Consder the followng quantum mechancs Lagrangan, L ψ(σ 3 t m)ψ, () where σ 3 s a Paul matrx, and ψ s defned by ψ ψ σ 3. ψ s a twocomponent

More information

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

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

More information

Causal Diamonds. M. Aghili, L. Bombelli, B. Pilgrim

Causal Diamonds. M. Aghili, L. Bombelli, B. Pilgrim Causal Damonds M. Aghl, L. Bombell, B. Plgrm Introducton The correcton to volume of a causal nterval due to curvature of spacetme has been done by Myrhem [] and recently by Gbbons & Solodukhn [] and later

More information

The GW approximation in 90 minutes or so. F. Bruneval Service de Recherches de Métallurgie Physique CEA, DEN

The GW approximation in 90 minutes or so. F. Bruneval Service de Recherches de Métallurgie Physique CEA, DEN The GW approxmaton n 90 mnutes or so Servce de Recherches de Métallurge Physque CEA, DEN DFT tutoral, Lyon december 2012 Outlne I. Standard DFT suffers from the band gap problem II. Introducton of the

More information

EEE 241: Linear Systems

EEE 241: Linear Systems EEE : Lnear Systems Summary #: Backpropagaton BACKPROPAGATION The perceptron rule as well as the Wdrow Hoff learnng were desgned to tran sngle layer networks. They suffer from the same dsadvantage: they

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

The rare decay H Zγ in perturbative QCD

The rare decay H Zγ in perturbative QCD The rare decay H Zγ in perturbative QCD [arxiv: hep-ph/1505.00561] Thomas Gehrmann, Sam Guns & Dominik Kara June 15, 2015 RADCOR 2015 AND LOOPFEST XIV - UNIVERSITY OF CALIFORNIA, LOS ANGELES Z Z H g q

More information

CSCE 790S Background Results

CSCE 790S Background Results CSCE 790S Background Results Stephen A. Fenner September 8, 011 Abstract These results are background to the course CSCE 790S/CSCE 790B, Quantum Computaton and Informaton (Sprng 007 and Fall 011). Each

More information

DISCRIMINANTS AND RAMIFIED PRIMES. 1. Introduction A prime number p is said to be ramified in a number field K if the prime ideal factorization

DISCRIMINANTS AND RAMIFIED PRIMES. 1. Introduction A prime number p is said to be ramified in a number field K if the prime ideal factorization DISCRIMINANTS AND RAMIFIED PRIMES KEITH CONRAD 1. Introducton A prme number p s sad to be ramfed n a number feld K f the prme deal factorzaton (1.1) (p) = po K = p e 1 1 peg g has some e greater than 1.

More information

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

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

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

Hongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k)

Hongyi Miao, College of Science, Nanjing Forestry University, Nanjing ,China. (Received 20 June 2013, accepted 11 March 2014) I)ϕ (k) ISSN 1749-3889 (prnt), 1749-3897 (onlne) Internatonal Journal of Nonlnear Scence Vol.17(2014) No.2,pp.188-192 Modfed Block Jacob-Davdson Method for Solvng Large Sparse Egenproblems Hongy Mao, College of

More information

Higgs boson production at the LHC: NNLO partonic cross sections through order ǫ and convolutions with splitting functions to N 3 LO

Higgs boson production at the LHC: NNLO partonic cross sections through order ǫ and convolutions with splitting functions to N 3 LO SFB/CPP-12-93 TTP12-45 LPN12-127 Higgs boson production at the LHC: NNLO partonic cross sections through order ǫ and convolutions with splitting functions to N 3 LO Maik Höschele, Jens Hoff, Aleey Pak,

More information

1 Matrix representations of canonical matrices

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

More information

763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1.

763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1. 7636S ADVANCED QUANTUM MECHANICS Soluton Set 1 Sprng 013 1 Warm-up Show that the egenvalues of a Hermtan operator  are real and that the egenkets correspondng to dfferent egenvalues are orthogonal (b)

More information

From Biot-Savart Law to Divergence of B (1)

From Biot-Savart Law to Divergence of B (1) From Bot-Savart Law to Dvergence of B (1) Let s prove that Bot-Savart gves us B (r ) = 0 for an arbtrary current densty. Frst take the dvergence of both sdes of Bot-Savart. The dervatve s wth respect to

More information

Analytical Gradient Evaluation of Cost Functions in. General Field Solvers: A Novel Approach for. Optimization of Microwave Structures

Analytical Gradient Evaluation of Cost Functions in. General Field Solvers: A Novel Approach for. Optimization of Microwave Structures IMS 2 Workshop Analytcal Gradent Evaluaton of Cost Functons n General Feld Solvers: A Novel Approach for Optmzaton of Mcrowave Structures P. Harscher, S. Amar* and R. Vahldeck and J. Bornemann* Swss Federal

More information

Anomalous dimensions and splitting functions beyond the next-to-next-to-leading order

Anomalous dimensions and splitting functions beyond the next-to-next-to-leading order Anomalous dimensions and splitting functions beyond the next-to-next-to-leading order Department of Mathematical Sciences, University of Liverpool, Liverpool L69 3BX, UK E-mail: Andreas.Vogt@liverpool.ac.uk

More information

Change. Flamenco Chuck Keyser. Updates 11/26/2017, 11/28/2017, 11/29/2017, 12/05/2017. Most Recent Update 12/22/2017

Change. Flamenco Chuck Keyser. Updates 11/26/2017, 11/28/2017, 11/29/2017, 12/05/2017. Most Recent Update 12/22/2017 Change Flamenco Chuck Keyser Updates /6/7, /8/7, /9/7, /5/7 Most Recent Update //7 The Relatvstc Unt Crcle (ncludng proof of Fermat s Theorem) Relatvty Page (n progress, much more to be sad, and revsons

More information

ln 2 = 1 + max{c m,n/2 2 t 1, t + C m 1,n/2 1} + m 107

ln 2 = 1 + max{c m,n/2 2 t 1, t + C m 1,n/2 1} + m 107 Errata to The Analyss of Algorthms, Second Prntng. 8 7 006 Usually just the corrected segment of text s gven. Negatve lne numbers ndcate the number of lnes from the bottom. p, l 3. (Only for n > 5 10 17

More information

Integrals and Invariants of Euler-Lagrange Equations

Integrals and Invariants of Euler-Lagrange Equations Lecture 16 Integrals and Invarants of Euler-Lagrange Equatons ME 256 at the Indan Insttute of Scence, Bengaluru Varatonal Methods and Structural Optmzaton G. K. Ananthasuresh Professor, Mechancal Engneerng,

More information

6.3.4 Modified Euler s method of integration

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

More information

Min Cut, Fast Cut, Polynomial Identities

Min Cut, Fast Cut, Polynomial Identities Randomzed Algorthms, Summer 016 Mn Cut, Fast Cut, Polynomal Identtes Instructor: Thomas Kesselhem and Kurt Mehlhorn 1 Mn Cuts n Graphs Lecture (5 pages) Throughout ths secton, G = (V, E) s a mult-graph.

More information

The Feynman path integral

The Feynman path integral The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

3 Basic boundary value problems for analytic function in the upper half plane

3 Basic boundary value problems for analytic function in the upper half plane 3 Basc boundary value problems for analytc functon n the upper half plane 3. Posson representaton formulas for the half plane Let f be an analytc functon of z throughout the half plane Imz > 0, contnuous

More information

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model EXACT OE-DIMESIOAL ISIG MODEL The one-dmensonal Isng model conssts of a chan of spns, each spn nteractng only wth ts two nearest neghbors. The smple Isng problem n one dmenson can be solved drectly n several

More information

Homework & Solution. Contributors. Prof. Lee, Hyun Min. Particle Physics Winter School. Park, Ye

Homework & Solution. Contributors. Prof. Lee, Hyun Min. Particle Physics Winter School. Park, Ye Homework & Soluton Prof. Lee, Hyun Mn Contrbutors Park, Ye J(yej.park@yonse.ac.kr) Lee, Sung Mook(smlngsm0919@gmal.com) Cheong, Dhong Yeon(dhongyeoncheong@gmal.com) Ban, Ka Young(ban94gy@yonse.ac.kr) Ro,

More information

arxiv:hep-ph/ v3 14 Aug 2000

arxiv:hep-ph/ v3 14 Aug 2000 UMD PP#00-080 DOE/ER/4076-08 ONE-LOOP FACTORIZATION OF THE NUCLEON g -STRUCTURE FUNCTION IN THE NON-SINGLET CASE Xangdong J, Λ We Lu, and Jonathan Osborne z Department of Phscs, Unverst of Marland, College

More information

Quantum Mechanics for Scientists and Engineers. David Miller

Quantum Mechanics for Scientists and Engineers. David Miller Quantum Mechancs for Scentsts and Engneers Davd Mller Types of lnear operators Types of lnear operators Blnear expanson of operators Blnear expanson of lnear operators We know that we can expand functons

More information

Dynamic Programming. Preview. Dynamic Programming. Dynamic Programming. Dynamic Programming (Example: Fibonacci Sequence)

Dynamic Programming. Preview. Dynamic Programming. Dynamic Programming. Dynamic Programming (Example: Fibonacci Sequence) /24/27 Prevew Fbonacc Sequence Longest Common Subsequence Dynamc programmng s a method for solvng complex problems by breakng them down nto smpler sub-problems. It s applcable to problems exhbtng the propertes

More information

Example: (13320, 22140) =? Solution #1: The divisors of are 1, 2, 3, 4, 5, 6, 9, 10, 12, 15, 18, 20, 27, 30, 36, 41,

Example: (13320, 22140) =? Solution #1: The divisors of are 1, 2, 3, 4, 5, 6, 9, 10, 12, 15, 18, 20, 27, 30, 36, 41, The greatest common dvsor of two ntegers a and b (not both zero) s the largest nteger whch s a common factor of both a and b. We denote ths number by gcd(a, b), or smply (a, b) when there s no confuson

More information

ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY

ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY CIPRIAN ACATRINEI Natonal Insttute of Nuclear Physcs and Engneerng P.O. Box MG-6, 07725-Bucharest, Romana E-mal: acatrne@theory.npne.ro. Receved March 6, 2008

More information

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

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

More information

PoS(LL2018)031. Loop tree duality at two loops. Germán Rodrigo

PoS(LL2018)031. Loop tree duality at two loops. Germán Rodrigo Insttuto de Físca Corpuscular Unverstat de Valènca-Consejo Superor de Investgacones Centífcas Parc Centífc, 46980 Paterna, Valenca, Span E-mal: german.rodrgo@csc.es We derve the loop-tree dualty (LTD)

More information

Lecture 21: Numerical methods for pricing American type derivatives

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

More information

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

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

More information

Factor models with many assets: strong factors, weak factors, and the two-pass procedure

Factor models with many assets: strong factors, weak factors, and the two-pass procedure Factor models wth many assets: strong factors, weak factors, and the two-pass procedure Stanslav Anatolyev 1 Anna Mkusheva 2 1 CERGE-EI and NES 2 MIT December 2017 Stanslav Anatolyev and Anna Mkusheva

More information

Lecture 6/7 (February 10/12, 2014) DIRAC EQUATION. The non-relativistic Schrödinger equation was obtained by noting that the Hamiltonian 2

Lecture 6/7 (February 10/12, 2014) DIRAC EQUATION. The non-relativistic Schrödinger equation was obtained by noting that the Hamiltonian 2 P470 Lecture 6/7 (February 10/1, 014) DIRAC EQUATION The non-relatvstc Schrödnger equaton was obtaned by notng that the Hamltonan H = P (1) m can be transformed nto an operator form wth the substtutons

More information

Polymer Chains. Ju Li. GEM4 Summer School 2006 Cell and Molecular Mechanics in BioMedicine August 7 18, 2006, MIT, Cambridge, MA, USA

Polymer Chains. Ju Li. GEM4 Summer School 2006 Cell and Molecular Mechanics in BioMedicine August 7 18, 2006, MIT, Cambridge, MA, USA Polymer Chans Ju L GEM4 Summer School 006 Cell and Molecular Mechancs n BoMedcne August 7 18, 006, MIT, Cambrdge, MA, USA Outlne Freely Jonted Chan Worm-Lke Chan Persstence Length Freely Jonted Chan (FJC)

More information

Difference Equations

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

More information

Problem Do any of the following determine homomorphisms from GL n (C) to GL n (C)?

Problem Do any of the following determine homomorphisms from GL n (C) to GL n (C)? Homework 8 solutons. Problem 16.1. Whch of the followng defne homomomorphsms from C\{0} to C\{0}? Answer. a) f 1 : z z Yes, f 1 s a homomorphsm. We have that z s the complex conjugate of z. If z 1,z 2

More information

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

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

More information

Solutions to Problem Set 6

Solutions to Problem Set 6 Solutons to Problem Set 6 Problem 6. (Resdue theory) a) Problem 4.7.7 Boas. n ths problem we wll solve ths ntegral: x sn x x + 4x + 5 dx: To solve ths usng the resdue theorem, we study ths complex ntegral:

More information

Robust Norm Equivalencies and Preconditioning

Robust Norm Equivalencies and Preconditioning Robust Norm Equvalences and Precondtonng Karl Scherer Insttut für Angewandte Mathematk, Unversty of Bonn, Wegelerstr. 6, 53115 Bonn, Germany Summary. In ths contrbuton we report on work done n contnuaton

More information

Supplemental Material: Causal Entropic Forces

Supplemental Material: Causal Entropic Forces Supplemental Materal: Causal Entropc Forces A. D. Wssner-Gross 1, 2, and C. E. Freer 3 1 Insttute for Appled Computatonal Scence, Harvard Unversty, Cambrdge, Massachusetts 02138, USA 2 The Meda Laboratory,

More information

Density matrix. c α (t)φ α (q)

Density matrix. c α (t)φ α (q) Densty matrx Note: ths s supplementary materal. I strongly recommend that you read t for your own nterest. I beleve t wll help wth understandng the quantum ensembles, but t s not necessary to know t n

More information

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry Workshop: Approxmatng energes and wave functons Quantum aspects of physcal chemstry http://quantum.bu.edu/pltl/6/6.pdf Last updated Thursday, November 7, 25 7:9:5-5: Copyrght 25 Dan Dll (dan@bu.edu) Department

More information

Using TranSIESTA (II): Integration contour and tbtrans

Using TranSIESTA (II): Integration contour and tbtrans Usng TranSIESTA (II): Integraton contour and tbtrans Frederco D. Novaes December 15, 2009 Outlne Usng TranSIESTA The ntegraton contour Electron densty from GF Why go complex? The non-equlbrum stuaton Usng

More information

Feature Selection: Part 1

Feature Selection: Part 1 CSE 546: Machne Learnng Lecture 5 Feature Selecton: Part 1 Instructor: Sham Kakade 1 Regresson n the hgh dmensonal settng How do we learn when the number of features d s greater than the sample sze n?

More information

Electron-Impact Double Ionization of the H 2

Electron-Impact Double Ionization of the H 2 I R A P 6(), Dec. 5, pp. 9- Electron-Impact Double Ionzaton of the H olecule Internatonal Scence Press ISSN: 9-59 Electron-Impact Double Ionzaton of the H olecule. S. PINDZOLA AND J. COLGAN Department

More information

14 The Postulates of Quantum mechanics

14 The Postulates of Quantum mechanics 14 The Postulates of Quantum mechancs Postulate 1: The state of a system s descrbed completely n terms of a state vector Ψ(r, t), whch s quadratcally ntegrable. Postulate 2: To every physcally observable

More information

The exponential map of GL(N)

The exponential map of GL(N) The exponental map of GLN arxv:hep-th/9604049v 9 Apr 996 Alexander Laufer Department of physcs Unversty of Konstanz P.O. 5560 M 678 78434 KONSTANZ Aprl 9, 996 Abstract A fnte expanson of the exponental

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

More information

Precision QCD at ILC: e + e 3 Jets

Precision QCD at ILC: e + e 3 Jets 2005 ALCPG & LC Worshops - Snowmass, U.S.A. Precson QCD at LC: e + e 3 Jets Aude Gehrmann-De Rdder nsttute for Theoretcal Physcs, ETH, CH-8093 Zürch, Swtzerland Thomas Gehrmann nsttut für Theoretsche Phys,

More information

Maximum Likelihood Estimation of Binary Dependent Variables Models: Probit and Logit. 1. General Formulation of Binary Dependent Variables Models

Maximum Likelihood Estimation of Binary Dependent Variables Models: Probit and Logit. 1. General Formulation of Binary Dependent Variables Models ECO 452 -- OE 4: Probt and Logt Models ECO 452 -- OE 4 Maxmum Lkelhood Estmaton of Bnary Dependent Varables Models: Probt and Logt hs note demonstrates how to formulate bnary dependent varables models

More information

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 13

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 13 CME 30: NUMERICAL LINEAR ALGEBRA FALL 005/06 LECTURE 13 GENE H GOLUB 1 Iteratve Methods Very large problems (naturally sparse, from applcatons): teratve methods Structured matrces (even sometmes dense,

More information

Modelli Clamfim Equazioni differenziali 7 ottobre 2013

Modelli Clamfim Equazioni differenziali 7 ottobre 2013 CLAMFIM Bologna Modell 1 @ Clamfm Equazon dfferenzal 7 ottobre 2013 professor Danele Rtell danele.rtell@unbo.t 1/18? Ordnary Dfferental Equatons A dfferental equaton s an equaton that defnes a relatonshp

More information

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices Internatonal Mathematcal Forum, Vol 11, 2016, no 11, 513-520 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/mf20166442 The Jacobsthal and Jacobsthal-Lucas Numbers va Square Roots of Matrces Saadet Arslan

More information

Three-dimensional Yang-Mills theory as a testbed for truncations of Dyson-Schwinger equations

Three-dimensional Yang-Mills theory as a testbed for truncations of Dyson-Schwinger equations Introducton Dyson-Schwnger equatons d3 Summary & conclusons Three-dmensonal Yang-Mlls theory as a testbed for truncatons of Dyson-Schwnger equatons Marus Q. Huber Insttute of Physcs, Unversty of Graz ACHT05,

More information

THEOREMS OF QUANTUM MECHANICS

THEOREMS OF QUANTUM MECHANICS THEOREMS OF QUANTUM MECHANICS In order to develop methods to treat many-electron systems (atoms & molecules), many of the theorems of quantum mechancs are useful. Useful Notaton The matrx element A mn

More information

Georgia Tech PHYS 6124 Mathematical Methods of Physics I

Georgia Tech PHYS 6124 Mathematical Methods of Physics I Georga Tech PHYS 624 Mathematcal Methods of Physcs I Instructor: Predrag Cvtanovć Fall semester 202 Homework Set #7 due October 30 202 == show all your work for maxmum credt == put labels ttle legends

More information

Complete subgraphs in multipartite graphs

Complete subgraphs in multipartite graphs Complete subgraphs n multpartte graphs FLORIAN PFENDER Unverstät Rostock, Insttut für Mathematk D-18057 Rostock, Germany Floran.Pfender@un-rostock.de Abstract Turán s Theorem states that every graph G

More information

Digital Signal Processing

Digital Signal Processing Dgtal Sgnal Processng Dscrete-tme System Analyss Manar Mohasen Offce: F8 Emal: manar.subh@ut.ac.r School of IT Engneerng Revew of Precedent Class Contnuous Sgnal The value of the sgnal s avalable over

More information

Tensor Analysis. For orthogonal curvilinear coordinates, ˆ ˆ (98) Expanding the derivative, we have, ˆ. h q. . h q h q

Tensor Analysis. For orthogonal curvilinear coordinates, ˆ ˆ (98) Expanding the derivative, we have, ˆ. h q. . h q h q For orthogonal curvlnear coordnates, eˆ grad a a= ( aˆ ˆ e). h q (98) Expandng the dervatve, we have, eˆ aˆ ˆ e a= ˆ ˆ a h e + q q 1 aˆ ˆ ˆ a e = ee ˆˆ ˆ + e. h q h q Now expandng eˆ / q (some of the detals

More information

Non-interacting Spin-1/2 Particles in Non-commuting External Magnetic Fields

Non-interacting Spin-1/2 Particles in Non-commuting External Magnetic Fields EJTP 6, No. 0 009) 43 56 Electronc Journal of Theoretcal Physcs Non-nteractng Spn-1/ Partcles n Non-commutng External Magnetc Felds Kunle Adegoke Physcs Department, Obafem Awolowo Unversty, Ile-Ife, Ngera

More information

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

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

More information

Lecture 5 Decoding Binary BCH Codes

Lecture 5 Decoding Binary BCH Codes Lecture 5 Decodng Bnary BCH Codes In ths class, we wll ntroduce dfferent methods for decodng BCH codes 51 Decodng the [15, 7, 5] 2 -BCH Code Consder the [15, 7, 5] 2 -code C we ntroduced n the last lecture

More information

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

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

More information

Srednicki Chapter 34

Srednicki Chapter 34 Srednck Chapter 3 QFT Problems & Solutons A. George January 0, 203 Srednck 3.. Verfy that equaton 3.6 follows from equaton 3.. We take Λ = + δω: U + δω ψu + δω = + δωψ[ + δω] x Next we use equaton 3.3,

More information

Number of cases Number of factors Number of covariates Number of levels of factor i. Value of the dependent variable for case k

Number of cases Number of factors Number of covariates Number of levels of factor i. Value of the dependent variable for case k ANOVA Model and Matrx Computatons Notaton The followng notaton s used throughout ths chapter unless otherwse stated: N F CN Y Z j w W Number of cases Number of factors Number of covarates Number of levels

More information

Measurement of the photon structure function F 2 γ (x,q 2 ) with the LUMI detector at L3

Measurement of the photon structure function F 2 γ (x,q 2 ) with the LUMI detector at L3 Measurement of the photon structure functon F (x,q ) wth the LUMI detector at L3 Gyongy Baksay Florda Insttute of Technology Florda, USA Advsors: Marcus Hohlmann Florda Insttute of Technology Mara Kenzle-Focacc

More information

Convexity preserving interpolation by splines of arbitrary degree

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

More information

A new Approach for Solving Linear Ordinary Differential Equations

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

More information

Solutions Homework 4 March 5, 2018

Solutions Homework 4 March 5, 2018 1 Solutons Homework 4 March 5, 018 Soluton to Exercse 5.1.8: Let a IR be a translaton and c > 0 be a re-scalng. ˆb1 (cx + a) cx n + a (cx 1 + a) c x n x 1 cˆb 1 (x), whch shows ˆb 1 s locaton nvarant and

More information

8.323 Relativistic Quantum Field Theory I

8.323 Relativistic Quantum Field Theory I MI OpenCourseWare http://ocw.mt.edu 8.323 Relatvstc Quantum Feld heory I Sprng 2008 For nformaton about ctng these materals or our erms of Use, vst: http://ocw.mt.edu/terms. MASSACHUSES INSIUE OF ECHNOLOGY

More information

PHYS 705: Classical Mechanics. Canonical Transformation II

PHYS 705: Classical Mechanics. Canonical Transformation II 1 PHYS 705: Classcal Mechancs Canoncal Transformaton II Example: Harmonc Oscllator f ( x) x m 0 x U( x) x mx x LT U m Defne or L p p mx x x m mx x H px L px p m p x m m H p 1 x m p m 1 m H x p m x m m

More information

Rate of Absorption and Stimulated Emission

Rate of Absorption and Stimulated Emission MIT Department of Chemstry 5.74, Sprng 005: Introductory Quantum Mechancs II Instructor: Professor Andre Tokmakoff p. 81 Rate of Absorpton and Stmulated Emsson The rate of absorpton nduced by the feld

More information

Quantum Particle Motion in Physical Space

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

More information

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

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

More information

On the size of quotient of two subsets of positive integers.

On the size of quotient of two subsets of positive integers. arxv:1706.04101v1 [math.nt] 13 Jun 2017 On the sze of quotent of two subsets of postve ntegers. Yur Shtenkov Abstract We obtan non-trval lower bound for the set A/A, where A s a subset of the nterval [1,

More information

Linear Algebra and its Applications

Linear Algebra and its Applications Lnear Algebra and ts Applcatons 4 (00) 5 56 Contents lsts avalable at ScenceDrect Lnear Algebra and ts Applcatons journal homepage: wwwelsevercom/locate/laa Notes on Hlbert and Cauchy matrces Mroslav Fedler

More information

between standard Gibbs free energies of formation for products and reactants, ΔG! R = ν i ΔG f,i, we

between standard Gibbs free energies of formation for products and reactants, ΔG! R = ν i ΔG f,i, we hermodynamcs, Statstcal hermodynamcs, and Knetcs 4 th Edton,. Engel & P. ed Ch. 6 Part Answers to Selected Problems Q6.. Q6.4. If ξ =0. mole at equlbrum, the reacton s not ery far along. hus, there would

More information

A non-perturbative study of the correlation functions of three-dimensional Yang-Mills theory

A non-perturbative study of the correlation functions of three-dimensional Yang-Mills theory Introducton Dyson-Schwnger equatons YM n d=3 Summary & conclusons A non-perturbatve study of the correlaton functons of three-dmensonal Yang-Mlls theory arxv:1602.02038 Marus Q. Huber Insttute of Physcs,

More information

Tensor Smooth Length for SPH Modelling of High Speed Impact

Tensor Smooth Length for SPH Modelling of High Speed Impact Tensor Smooth Length for SPH Modellng of Hgh Speed Impact Roman Cherepanov and Alexander Gerasmov Insttute of Appled mathematcs and mechancs, Tomsk State Unversty 634050, Lenna av. 36, Tomsk, Russa RCherepanov82@gmal.com,Ger@npmm.tsu.ru

More information

Lecture 2: Numerical Methods for Differentiations and Integrations

Lecture 2: Numerical Methods for Differentiations and Integrations Numercal Smulaton of Space Plasmas (I [AP-4036] Lecture 2 by Lng-Hsao Lyu March, 2018 Lecture 2: Numercal Methods for Dfferentatons and Integratons As we have dscussed n Lecture 1 that numercal smulaton

More information

Dirichlet s Theorem In Arithmetic Progressions

Dirichlet s Theorem In Arithmetic Progressions Drchlet s Theorem In Arthmetc Progressons Parsa Kavkan Hang Wang The Unversty of Adelade February 26, 205 Abstract The am of ths paper s to ntroduce and prove Drchlet s theorem n arthmetc progressons,

More information

PHYS 215C: Quantum Mechanics (Spring 2017) Problem Set 3 Solutions

PHYS 215C: Quantum Mechanics (Spring 2017) Problem Set 3 Solutions PHYS 5C: Quantum Mechancs Sprng 07 Problem Set 3 Solutons Prof. Matthew Fsher Solutons prepared by: Chatanya Murthy and James Sully June 4, 07 Please let me know f you encounter any typos n the solutons.

More information

Perfect Fluid Cosmological Model in the Frame Work Lyra s Manifold

Perfect Fluid Cosmological Model in the Frame Work Lyra s Manifold Prespacetme Journal December 06 Volume 7 Issue 6 pp. 095-099 Pund, A. M. & Avachar, G.., Perfect Flud Cosmologcal Model n the Frame Work Lyra s Manfold Perfect Flud Cosmologcal Model n the Frame Work Lyra

More information

The Three-Loop Splitting Functions in QCD: The Non-Singlet Case

The Three-Loop Splitting Functions in QCD: The Non-Singlet Case The Three-Loop Splitting Functions in QCD: The Non-Singlet Case Sven-Olaf Moch DESY Zeuthen 1. The Calculation. The Result 3. The Summary in collaboration with J.A.M. Vermaseren and A. Vogt, hep-ph/040319

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecture 7 Specal Relatvty (Chapter 7) What We Dd Last Tme Worked on relatvstc knematcs Essental tool for epermental physcs Basc technques are easy: Defne all 4 vectors Calculate c-o-m

More information