ϕ α βi(k) ξ β αi(k ) ω β0 + ε β iα E β V αn (k α ), ϕ σ ββ(k σ ) = m β dk Kαβ (k, k )U β (k ) r β (ω βk ω β0 )

Σχετικά έγγραφα
α & β spatial orbitals in

Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών. ΗΥ-570: Στατιστική Επεξεργασία Σήµατος. ιδάσκων : Α. Μουχτάρης. εύτερη Σειρά Ασκήσεων.

Π Ο Λ Ι Τ Ι Κ Α Κ Α Ι Σ Τ Ρ Α Τ Ι Ω Τ Ι Κ Α Γ Ε Γ Ο Ν Ο Τ Α

Multi-dimensional Central Limit Theorem

Symplecticity of the Störmer-Verlet algorithm for coupling between the shallow water equations and horizontal vehicle motion

EE512: Error Control Coding

One and two particle density matrices for single determinant HF wavefunctions. (1) = φ 2. )β(1) ( ) ) + β(1)β * β. (1)ρ RHF

F19MC2 Solutions 9 Complex Analysis

Multi-dimensional Central Limit Theorem

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

Lecture 26: Circular domains

EN40: Dynamics and Vibrations

ECE 308 SIGNALS AND SYSTEMS FALL 2017 Answers to selected problems on prior years examinations

Α Ρ Ι Θ Μ Ο Σ : 6.913

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit


2 Composition. Invertible Mappings

8.324 Relativistic Quantum Field Theory II

Matrices and Determinants

Ν Κ Π 6Μ Θ 5 ϑ Μ % # =8 Α Α Φ ; ; 7 9 ; ; Ρ5 > ; Σ 1Τ Ιϑ. Υ Ι ς Ω Ι ϑτ 5 ϑ :Β > 0 1Φ ς1 : : Ξ Ρ ; 5 1 ΤΙ ϑ ΒΦΓ 0 1Φ ς1 : ΒΓ Υ Ι : Δ Φ Θ 5 ϑ Μ & Δ 6 6

k A = [k, k]( )[a 1, a 2 ] = [ka 1,ka 2 ] 4For the division of two intervals of confidence in R +

1 Complete Set of Grassmann States

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Figure A.2: MPC and MPCP Age Profiles (estimating ρ, ρ = 2, φ = 0.03)..

Partial Differential Equations in Biology The boundary element method. March 26, 2013

ibemo Kazakhstan Republic of Kazakhstan, West Kazakhstan Oblast, Aksai, Pramzone, BKKS office complex Phone: ; Fax:

Solutions to the Schrodinger equation atomic orbitals. Ψ 1 s Ψ 2 s Ψ 2 px Ψ 2 py Ψ 2 pz

Bounding Nonsplitting Enumeration Degrees

CRASH COURSE IN PRECALCULUS

2. Α ν ά λ υ σ η Π ε ρ ι ο χ ή ς. 3. Α π α ι τ ή σ ε ι ς Ε ρ γ ο δ ό τ η. 4. Τ υ π ο λ ο γ ί α κ τ ι ρ ί ω ν. 5. Π ρ ό τ α σ η. 6.

Affine Weyl Groups. Gabriele Nebe. Summerschool GRK 1632, September Lehrstuhl D für Mathematik

A Class of Orthohomological Triangles

derivation of the Laplacian from rectangular to spherical coordinates

1 String with massive end-points


Other Test Constructions: Likelihood Ratio & Bayes Tests

f(w) f(z) = C f(z) = z z + h z h = h h h 0,h C f(z + h) f(z)

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

LECTURE 4 : ARMA PROCESSES

Notes on the Open Economy

Aluminum Electrolytic Capacitors

Concrete Mathematics Exercises from 30 September 2016

A General Note on δ-quasi Monotone and Increasing Sequence

Forced Pendulum Numerical approach

Tridiagonal matrices. Gérard MEURANT. October, 2008

< = ) Τ 1 <Ο 6? <? Ν Α <? 6 ϑ<? ϑ = = Χ? 7 Π Ν Α = Ε = = = ;Χ? Ν !!! ) Τ 1. Ο = 6 Μ 6 < 6 Κ = Δ Χ ; ϑ = 6 = Σ Ν < Α <;< Δ Π 6 Χ6 Ο = ;= Χ Α

SPECIAL FUNCTIONS and POLYNOMIALS

ΠΑΝΕΠΙΣΤΗΜΙΟ ΘΕΣΣΑΛΙΑΣ ΤΜΗΜΑ ΠΟΛΙΤΙΚΩΝ ΜΗΧΑΝΙΚΩΝ ΤΟΜΕΑΣ ΥΔΡΑΥΛΙΚΗΣ ΚΑΙ ΠΕΡΙΒΑΛΛΟΝΤΙΚΗΣ ΤΕΧΝΙΚΗΣ. Ειδική διάλεξη 2: Εισαγωγή στον κώδικα της εργασίας

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

An Introduction to Signal Detection and Estimation - Second Edition Chapter II: Selected Solutions

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

SOLUTIONS TO MATH38181 EXTREME VALUES AND FINANCIAL RISK EXAM

department listing department name αχχουντσ ϕανε βαλικτ δδσϕηασδδη σδηφγ ασκϕηλκ τεχηνιχαλ αλαν ϕουν διξ τεχηνιχαλ ϕοην µαριανι

SCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions

ST5224: Advanced Statistical Theory II

Appendix S1 1. ( z) α βc. dβ β δ β

DESIGN OF MACHINERY SOLUTION MANUAL h in h 4 0.

An Inventory of Continuous Distributions

4.6 Autoregressive Moving Average Model ARMA(1,1)

The challenges of non-stable predicates

ΗΥ537: Έλεγχος Πόρων και Επίδοση σε Ευρυζωνικά Δίκτυα,

w o = R 1 p. (1) R = p =. = 1

ω ω ω ω ω ω+2 ω ω+2 + ω ω ω ω+2 + ω ω+1 ω ω+2 2 ω ω ω ω ω ω ω ω+1 ω ω2 ω ω2 + ω ω ω2 + ω ω ω ω2 + ω ω+1 ω ω2 + ω ω+1 + ω ω ω ω2 + ω

APPLICATIONS TECHNOLOGY. Leaded Discs N.03 N.06 N.09

jqa=mêççìåíë=^âíáéåöéëéääëåü~ñí= =p~~êäêωåâéå= =déêã~åó

Second Order Partial Differential Equations

PARTIAL NOTES for 6.1 Trigonometric Identities

Appendix to On the stability of a compressible axisymmetric rotating flow in a pipe. By Z. Rusak & J. H. Lee

( )( ) ( ) ( )( ) ( )( ) β = Chapter 5 Exercise Problems EX α So 49 β 199 EX EX EX5.4 EX5.5. (a)

8.1 The Nature of Heteroskedasticity 8.2 Using the Least Squares Estimator 8.3 The Generalized Least Squares Estimator 8.

Section 9.2 Polar Equations and Graphs

Problem 1.1 For y = a + bx, y = 4 when x = 0, hence a = 4. When x increases by 4, y increases by 4b, hence b = 5 and y = 4 + 5x.

= {{D α, D α }, D α }. = [D α, 4iσ µ α α D α µ ] = 4iσ µ α α [Dα, D α ] µ.

Example Sheet 3 Solutions

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =

Jesse Maassen and Mark Lundstrom Purdue University November 25, 2013

( )( ) ( )( ) 2. Chapter 3 Exercise Solutions EX3.1. Transistor biased in the saturation region

10.7 Performance of Second-Order System (Unit Step Response)

Durbin-Levinson recursive method

C.S. 430 Assignment 6, Sample Solutions

Geodesic Equations for the Wormhole Metric

8.323 Relativistic Quantum Field Theory I

Aluminum Electrolytic Capacitors (Large Can Type)

HOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:

36 ( ) Ω λk(k= + )-Δ <γ < (4) L (Ω) φ k λk : (-Δ) /φ γ / k=λγ k φ k { <λ λ λk (k ) D((-Δ) γ / )= {u L (Ω)stu Ω = ; (-Δ) γ / u L (Ω) = k=+ λ γ / k u φ

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER

Galatia SIL Keyboard Information

Spherical Coordinates

!"#! $%&'$% %(' ') '#*#(& ( #'##+,-'!$%(' & ('##$%(' &#' & ('##$%('. )!#)! ##%' " (&! #!$"/001

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

MATHEMATICS. 1. If A and B are square matrices of order 3 such that A = -1, B =3, then 3AB = 1) -9 2) -27 3) -81 4) 81

Second Order RLC Filters

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Every set of first-order formulas is equivalent to an independent set

Srednicki Chapter 55

Differentiation exercise show differential equation

Local Inversions in Ultrasound Modulated Op5cal Tomography. Guillaume Bal Shari Moskow

EE101: Resonance in RLC circuits

Lecture 2. Soundness and completeness of propositional logic

Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ.

Transcript:

Collecton of cal formulae Lublana, 12 September 2016, p.: 7 In a compact notaton (see precse form of ε n the prevous table): K (k, k ) ϕ (k) ξ (k ) Below V N and V Δ stand for the pon nter., for sgma. ξ (k) V (k) ω k ε, ϕ (k) m (ω 0 ε ) V (k) ω k ε g, ω 0 ε ω 0 ε Furthermore, g NN g, g ΔN g NΔ g, g ΔΔ g Δ, g σ g σ g σσ 1. ϕ (k ) g m V (k ), ϕ σ(k ) m σ V N (k ), ϕ σ (k σ ) m (k σ ). From m 2 u m 2 [( ω ) 2 k 2 k 2 ] m 2 m 2 2 ω µ 2 2 ( ω (m 2 m 2 µ 2 )/2 ) : ε m2 m 2 µ 2 2, µ N,Δ m π, µ σ µ, N W ω 0, W ω 1, σ µ W ω µ0 U (k) U (k) U (k) U (k) K (k, k )U (k ) r (ω k ω 0 ) ξ (k )U (k ) r (ω k ω 0 ) ϕ (k) x ϕ (k) x b γ A,γ x γ A,γ b ξ (k)ϕ γ(k) r (ω k ω 0 ) U (k)ξ (k) r (ω k ω 0 ) Old notaton: g x (), g x ()

Collecton of cal formulae Lublana, 12 September 2016, p.: 8 D δ (k, k δ ) K δ (k, k δ ) K δ (k, k δ ) K δ (k, k δ ) K (k, k )D δ (k, k δ ) r (ω k ω 0 ) Dδ (k, k δ )ξ (k ) r (ω k ω 0 ) z δ ϕ (k) ϕ (k) z δ b δ γ A,γ z δ γ b δ K δ (k, k δ )ξ (k ) r (ω k ω 0 ) ξ(k δ δ ) ϕ δ (k )ξ (k ) r (ω k ω 0 ) Note that all values correspond to the nomnal Δ and σ masses when under the ntegral; whle values always to averaged W -dependent masses. Solvng the coupled system for c s A RR (W )c N R (W ) A RN (W )c N N(W ) b N R (W ) A NR (W )c N R (W ) A NN (W )c N N(W ) b N N(W ) (0.35) A RR W m 0 R V RN(k)V RN (k) A RN V NN(k)V RN (k) Vm Δ NΔ(k)V RΔ (k) b N R V RN (k 0 ), A NN W m N V NN(k)ṼNN(k) A NR V RN(k)ṼNN(k) Vm Δ RΔ (k)ṽnδ(k) Vm Δ RΔ (k)v RΔ (k) Vm Δ NΔ(k)ṼNΔ(k) Vmσ Nσ (k)v Rσ (k) Vmσ Rσ (k)ṽnσ(k) Vmσ Rσ (k)v Rσ (k) Vmσ Nσ (k)ṽnσ(k) b N N V NN (k 0 ) (0.36) A RR (W ) ĉ Δ R(W, m) A RN (W ) ĉ Δ N(W, m) b Δ R(W, m) VRΔ(k m 1 ) A NR (W ) ĉ Δ R(W, m) A NN (W ) ĉ Δ N(W, m) b Δ N(W, m) VNΔ(k m 1 ) (0.37) A RR (W ) ĉ σ R(W, µ) A RN (W ) ĉ σ N(W, µ) b σ R(W, µ) V Rσ(k µ µ0 ) A NR (W ) ĉ σ R(W, µ) A NN (W ) ĉ σ N(W, µ) b σ N(W, µ) VNσ(k m µ0 ) (0.38) Fnally, the resonance part of the K matrx acqures the form: (h s the channel eventually dependent on m and µ) K hh [ ] VRh V Nh [ ] c h R (W ) c h N(W ) V Rh V Rh Z R (W )(m R W ) V Nh V Nh Z N (W )(m N W ) (0.39)

Collecton of cal formulae Lublana, 12 September 2016, p.: 9 where V Xh u XX V Xh u XY V Y h, V Y h u Y X V Xh u Y Y V Y h (0.40) and U dgonalzes the A matrx UAU T dag[λ R, λ N ] dag[z R (W )(W m R ), Z N (W )(W m N )] (0.41) V R (k) V R (k) V N (k) V N (k) x ϕ (k) y ϕ (k) D δ (k, k δ ) K δ (k, k δ ) z ϕ (k)ξ δ (k δ ) A RR W m 0 R V R (k)vr (k) r (ω k ω 0 ) A RN V N (k)vr (k) r (ω k ω 0 ) y A NN W m N V N (k) V R (k) r (ω k ω 0 ) A NR V N (k) V R (k) r (ω k ω 0 ) x We have (note that n the old notes the factor m x V R (k)ϕ (k) r (ω k ω 0 ) y V R (k)ϕ (k) r (ω k ω 0 ) V N (k)ϕ (k) r (ω k ω 0 ) s mssng): V N (k)ϕ (k) r (ω k ω 0 ) V (k)ϕ (k) r (ω k ω 0 ) g g m (ω 0 ε ) m (ω 0 ε )b g V (k)v(k) r (ω k ω 0 )(ω k ε ) m (ω 0 ε )b From x γ a 1,γb γ x b g m (ω 0 ε ) γ γ a 1,γ b γ b g m (ω 0 ε ) a 1,γ b γ b g m (ω 0 ε )

Collecton of cal formulae Lublana, 12 September 2016, p.: 10 NNB NNB NΔB ΔNB ΔΔB NσN ΔσΔ σnn σδδ σσn A NNN, NΔB 0 0 A ΔNN, ΔNB A NΔN, ΔΔB 0 0 A ΔΔN, A NNΔ, 0 0 A NNσ 0 0 0 0 A ΔNΔ, 0 A ΔNσ 0 0 0 A NΔΔ, 0 0 A NΔσ 0 0 0 0 A ΔΔΔ, 0 A ΔΔσ 0 0 0 NσN 0 0 0 0 0 0 A σnn A σnδ A σnσ ΔσΔ 0 0 0 0 0 0 A σδn A σδδ A σδσ σnn A NσN σδδ 0 0 A ΔσN A NσΔ 0 0 A Nσσ 0 0 0 0 A ΔσΔ 0 A Δσσ 0 0 0 σσn 0 0 0 0 0 0 A σσn A σσδ A σσσ Below,, γ,, {N, Δ}, the bar values may depend on m for the πδ channel or on µ for σn. Note (ω γ0 ε γ )/ γ (ω 0 ε γ)/. A ᾱγ, Aᾱ,γ A σγ A σ,γ A ᾱσ Aᾱ,σ A σσ A σ,σ A σᾱγ Aᾱσ,σγγ A σᾱσ Aᾱσ,σσN A σσγ A σσn,σγγ A σσσ A σσn,σσn r (ω k ω 0 ) r (ω k ω 0 ) r (ω k ω 0 ) r (ω k ω 0 ) σ σ σ σ V ᾱ(k) (ω k ε ᾱ) V γ(k) (ω k ε γ) V N (k) Vγ(k) (ω k ε σ ) (ω k ε γ) V ᾱ(k) (ω k ε ᾱ) m (ω γ0 ε γ ) gγ γ m (ω γ0 ε γ ) gγ γ V N (k) (ω k ε σ ) m (ω 0 ε σ ) V N (k) VN (k) m (ω k ε σ ) (ω k ε σ ) (ω 0 ε σ ) (k σ ) (ω σk ε σ ᾱᾱ) (k σ ) (ω σk ε σ ᾱ) NN(k σ ) (ω σk ε σ N σ) NN(k σ ) (ω σk ε σ N σ) γγ(k σ ) (ω σk ε σ γγ) VNN(k σ σ ) (ω σk ε σ Nσ) Vγγ(k σ σ ) (ω σk ε σ γγ) NN(k σ ) (ω σk ε σ Nσ) m γ σ (ω σ0 ε σ γγ) m N σ (ω σ0 ε σ Nσ) m γ σ (ω σ0 ε σ γγ) m N σ (ω σ0 ε σ Nσ)

Collecton of cal formulae Lublana, 12 September 2016, p.: 11 Below,, δ,, {N, Δ} and U V R or V N : bᾱ b σ bᾱσ b σ σn U (k) ξ ᾱ(k) r (ω k ω 0 ) U (k) r (ω k ω 0 ) V ᾱ(k) (ω k ε ᾱ) U (k) ξ σ (k) U (k) V (k) r (ω k ω 0 ) r (ω k ω 0 ) (ω k ε N ) σ U σ (k σ ) ξᾱ(k) σ σ U σ (k σ ) V (k σ σ ) (ω σk ε σ ᾱ) σ U σ (k σ ) ξ σ σn(k) σ U σ (k σ ) V NN(k σ σ ) (ω σk ε σ N σ) Below ξ s always evaluated wth the averaged nvarant masses (m or µ): bᾱδ b σδ Aᾱ,δ ξ δ (k δ ) A σ,δ ξ δ (k δ ) bᾱσ Aᾱ,σ ξ(k σ δ ) A ᾱδ bᾱδ A ᾱδ, A σδ V δ (k δ ) (ω δ ε δ ) (k σ ) (ω σ ε σ ) V δ (k δ ) (ω δ ε δ ) σ Aᾱσ,σδδ ξσδ(k δ δ ) A σᾱδ VδN(k δ δ ) (ω δ ε δ δσ ) A σ,σ ξ(k σ σ ) A σσ V(k σ σ ) (ω σ ε σ ) b σσ b σδ σn A σσn,σδδ ξσδ(k δ δ ) A σ σδ VδN(k δ δ ) (ω δ ε δ δσ ) bᾱσ σ Aᾱσ,σσN ξσn(k σ σ ) A σᾱσ VNN(k σ σ ) (ω σ ε σ Nσ) b σσ σn A σσn,σσn ξσn(k σ σ ) A σ σσ VNN(k σ σ ) (ω σ ε σ Nσ) The equatons for z δ consst of three sets of equatons Az b δ wth the same A but wth three b δ for δ N, Δ, σ.