Fierz transformations
|
|
- Beverley Melton
- 5 years ago
- Views:
Transcription
1 Fierz trnsformtions Fierz identities re often useful in quntum field theory clcultions. They re connected to reordering of field opertors in contct four-prticle interction. The bsic tsk is: given four complex fields ψ 1,2,3,4, which crry (spcetime or internl) index, let us consider n interction (ψ 1 Aψ 2 )(ψ 3 Bψ 4 ). (1) The indices of the spinors re suppressed. The sme interction cn be expressed in different wy s (ψ 1 Mψ 4 )(ψ 3 Nψ 2 ). How re the mtrices M, N relted to the mtrices A, B? The obvious nswer is A ij B kl = ±M il N kj, (2) where the plus nd minus signs pply to bosonic nd fermionic field opertors, respectively. However, it is usully inconvenient to use the mtrix elements explicitly nd the mtrices A, B, M, N re often expressed in suitble bsis. Generl Fierz identity Denoting the vector spce of the spinors s R, let s ssume tht we know bsis in the mtrix spce R R; we will cll it Γ. The sclr product of bsis mtrices gives rise to metric, 1 Tr(Γ Γ b ) = g b, which my be used to rise nd lower indices by 2 Γ = b gb Γ b, s usul. Every mtrix M cn be expnded in this bsis s M = M Γ, where M = Tr(MΓ ). This leds immeditely to the completeness reltion, (Γ ) ij (Γ ) kl = δ il δ jk, (3) which is the bsis for the derivtion of ll Fierz identities. The bove introduced mtrices A, B, M, N re ccordingly written s A ij B kl =,b A B b (Γ ) ij (Γ b ) kl, M ij N kl =,b M N b (Γ ) ij (Γ b ) kl. 1 In fct, for generl complex mtrices we should Hermitin conjugte one of the mtrices in the trce to get well-defined sclr product. Therefore, ll our conclusions will hold without further ssumptions in cse the Γ s re Hermitin. Otherwise, we need to suppose t lest tht g b is invertible. This is indeed the cse in ll pplictions. 2 Here nd in the following, ll sums over indices will be indicted explicitly.
2 The tsk to find the reltion (2) between them is therefore equivlent to finding the reltion between (Γ ) ij (Γ b ) kl nd (Γ ) il (Γ b ) kj. This is in generl given by liner combintion (Γ ) ij (Γ b ) kl = c,d C cd b (Γ c ) il (Γ d ) kj. (4) Multiplying by (Γ e ) li (Γ f ) jk, we infer immeditely C bcd = Tr(Γ Γ d Γ b Γ c ). (5) Equtions (4) nd (5) represent the most generl Fierz rerrngement formul. However, in prctice one does not usully need to clculte the coefficients C bcd for ll combintions of indices. Thnks to symmetry there re typiclly just few independent ones. Symmetry constrints The spce of spinors R furnishes n irreducible representtion of symmetry group, under which the interction Lgrngin is required to be invrint. This is most esily ccomplished in two consecutive steps. First the product representtion R R is decomposed into irreducible representtions of the symmetry group using the set of Clebsch Gordn coefficients. For two spinors ψ, χ in the sme representtion, the set of biliners ψγ A χ, = 1,...,dim A, form bsis of the irreducible representtion A tht lies in the decomposition of R R. For ny selected representtion A we cn form unique invrint of the symmetry group, 3 (ψ 1 Γ A ψ 2 )(ψ 3 Γ A ψ 4 ). We therefore need not rerrnge the products of ll pirs of two individul bsis mtrices, but rther the sum, ΓA ΓA, over ll mtrices in given irreducible representtion. The Fierz trnsformtion nlogous to the generl formul (4) will then red (Γ A ) ij(γ A ) kl = C AB (Γ B b ) il(γ Bb ) kj, (6) B where the Fierz coefficients now depend only on the representtions in question. Summing Eq. (4) over ll = b in given representtion nd relizing tht by symmetry considertions, C c d cn only be nonzero for c = d, we find (Γ A ) ij (Γ A ) kl = C b b(γ B b ) il (Γ Bb ) kj, B nd from (5) then C AB = C b b =,b b Tr(Γ A ΓB b ΓA Γ Bb ). (7) 3 The sitution would become slightly more complicted in cse the decomposition of R R contined more equivlent irreducible representtions. For the ske of simplicity, we neglect this possibility here.
3 Properties of Fierz coefficients [1] By multiplying Eq. (6) with Γ C c,jk nd using the orthogonlity condition in the form Tr(Γ A Γ B b ) = δ AB g b, (8) we derive very useful formul Γ A Γ B b Γ A = C AB Γ B b, (9) which is often more convenient to evlute the coefficients C AB thn the definition (7). [2] Another distinguishing property of the Fierz trnsformtion is tht performing it twice, we get bck to the originl interction, tht is, the Fierz trnsformtion is equl to its inverse. In terms of the mtrix of coefficients C AB, this cn be seen by pplying Eq. (6) to itself, (Γ A ) ij(γ A ) kl = C AB (Γ B b ) il(γ Bb ) kj = C AB C BC (Γ C c ) ij(γ Cc ) kl, B b B C c C AB C BC = δ AC. (10) B [3] In prctice the representtion R often is representtion of direct product of groups, corresponding to different quntum numbers such s spin, flvor, or color. We therefore need to know how to perform the Fierz trnsformtion with respect to severl indices. Let us denote the bsis of mtrices in the product representtion A A s Γ AA Eq. (9), we obtin Γ AA ΓBB bb = (Γ A ΓAA Γ B b Γ A ) (Γ A ΓB b ) = ΓA nd consequently ( ) ( = Γ A Γ B b Γ A ΓA ΓA Γ A ) ΓB b = C ΓA AB C A B ΓB b Γ B b C AA,BB = C ABC A B.. Applying repetedly = C ABC A B ΓBB bb, This is gret simplifiction which tells us tht the Fierz trnsformtion cn be performed on ech index seprtely. [4] Summing Eq. (7) over b, we get result invrint under the exchnge A B, which implies nice reciprocity reltion C AB dim B = C BA dim A. (11) [5] The representtion R R lwys contins the unit representtion, I, nd the corresponding Clebsch Gordn coefficients re conveniently defined by the unit mtrix, Γ I = 11. Assuming
4 tht ll other bsis mtrices re chosen orthogonl to 11, i.e. trceless, we find Γ I = 11/ Tr 11 = 11/ dim R. Substituting A = I in (9) then leds to C IA = 1 dim R, the second reltion following immeditely from (11). C AI = dim A dim R, (12) Exmples [1] su(n) lgebr In this cse, R will be the fundmentl representtion of su(n) with the genertors T normlized by Tr(T T b ) = ξδ b. The representtion R R decomposes into the sum of the djoint representtion T, with Γ T = T, nd the unit representtion I, with Γ I = 11. Note tht the normliztion of 11, given by g II = N, in generl differs from the normliztion of T! With the help of equtions (7) nd (11) we esily deduce C II = 1 N, C IT = 1 N, C T I = N2 1 N. The sme result is n immedite consequence of Eq. (12). The lst missing Fierz coefficient, C T T, follows most esily from (10): C T T = 1/N. We cn now summrize the Fierz trnsformtions for su(n) in the conventionl wy, without using rised indices, (11) ij (11) kl = 1 N (11) il(11) kj + 1 (T ) il (T ) kj, ξ (T ) ij (T ) kl = ξ N2 1 N 2 (11) il (11) kj 1 (T ) il (T ) kj. N From here, or directly from Eq. (9), we then immeditely obtin nother useful identity, T T b T = ξ N T b. Equtions (13) were derived for the fundmentl representtion of su(n). Even for higher representtions our generl formuls cn still yield some (restricted) informtion. Let us therefore consider the su(n) genertors T R in n rbitrry representtion R. From the group-theoretic point of view, they define the Clebsch Gordn coefficients for the djoint representtion T in the decomposition of the direct product R R. Their norm is usully denoted s C(R), tht is, Tr(T RT b R) = C(R)δ b. Eq. (12) gives C T I = (N 2 1)/ dim R. Applying Eq. (9) to B = I then results in the conventionl qudrtic Csimir invrint, expressed s T R T R = C 2(R)11 R, where C 2 (R) = C(R) N2 1 dim R. (13)
5 [2] Dirc lgebr Proceeding in the sme mnner one cn derive the Fierz identities for n rbitrry mtrix lgebr. Here we quote some results for the lgebr of Dirc mtrices, without detiled derivtion, which is strightforwrd, though bit tedious. The stndrd Lorentz-covrint bsis of 4 4 mtrices is creted from the sclr, vector, tensor, xil-vector, nd pseudosclr combintions of Dirc γ-mtrices, {11, γ µ, σ µν, γ µ γ 5, iγ 5 }, where we use the conventions σ µν = i 2 [γµ, γ ν ] nd γ 5 = iγ 0 γ 1 γ 2 γ 3. In mny physicl pplictions, the Lorentz symmetry is nevertheless broken by the presence of dense medium down to mere rottion symmetry. One therefore needs to work with the bsis of rottion-covrint mtrices, tht is, {11, γ 0, γ, σ 0, σ b, γ 0 γ 5, γ γ 5, iγ 5 }. The indices, b now run from one to three. The resulting Fierz identities for rottion-invrint biliners re summrized in Fig. 1. The first mtrix gives the Fierz coefficients defined by (6), while the second mtrix correspond to the Fierz trnsformtion to the prticle prticle chnnel, discussed below. Fierz trnsformtion in the prticle prticle chnnel Of the four fields in the expression (1), two trnsform in the representtion R nd two in its complex conjugte R. In the bove two-step construction we creted invrints of given symmetry from the product representtions (R R) nd (R R). The two possible wys to compose R R gve rise to the Fierz rerrngement identity (6). However, we cn lso construct n invrint by first composing (R R) nd (R R), nd then combining those. We will for simplicity refer to this rerrngement s the prticle prticle one, for obvious resons. The product representtion R R nturlly hs different bsis thn Γ A ; we will denote the corresponding mtrices s Ξ A. The new Fierz trnsformtion will therefore be defined nlogously to (6) s (Γ A ) ij(γ A ) kl = D AB (Ξ B b ) ik(ξ Bb ) lj. (14) B The mtrices Ξ, forming the bsis of R R, re most generlly defined by (ψξχ T ) = χ T Ξψ. Note tht we will not derive the Fierz trnsformtion to the prticle prticle chnnel in the most generl cse, nlogously to Eq. (4). The generliztion is obvious, but of little prcticl utility. b The bsis mtrices Ξ A will be ssumed to be normlized similrly to (8), Tr(Ξ A ΞB b ) = δab h b, nd the metric h b will gin be used to rise nd lower indices. Anlogously to Eqs. (7) nd (9) we derive the identities D AB = Tr [ Γ A Ξ B b (Γ A ) T Ξ Bb ], (15)
6 Γ A ΞB b (ΓA ) T = D AB Ξ B b. (16) The coefficients C AB nd D AB rise from rerrngement of the sme mtrices. It is therefore not surprising tht they re relted to ech other. To see this, let us pply the identity (6) to the left-hnd side of Eq. (16), [ Γ A Ξ B b (Γ A ) T] = (Γ A ij ) ik (Γ A ) jl (Ξ B b ) kl = C AC (Γ C c) il (Γ Cc ) jk (Ξ B b ) kl =,k,l C c,k,l = [ C AC Γ C c (Ξ B b )T (Γ Cc ) T]. ij C c Being bsis of the representtion R R, the mtrices Ξ B b re lwys either symmetric or ntisymmetric, tht is, (Ξ B b )T = η B Ξ B b, where the sign η B = ± depends only on the irreducible representtion B. Applying Eq. (16) to the first nd lst expression bove, we obtin the reltion D AB = η B C AC D CB. (17) Setting A to the unit representtion I, we obtin useful specil cse D IA = 1 dim R, C 1 = η B D AB. (18) The second identity follows from (12). Although the reltions (17) nd (18) only constrin the coefficients D AB, in some specil cses they my ctully be sufficient to determine D AB completely. A su(n) lgebr The product R R of two fundmentl representtions of su(n) decomposes into two irreducible representtions, the symmetric nd ntisymmetric tensors, S nd A. We will denote the corresponding bsis mtrices respectively s S nd A. Note tht A re simply the ntisymmetric T mtrices, while S re the symmetric T mtrices together with the unit mtrix, normlized to hve the sme norm ξ, tht is, 11 ξ/n. Now the first identity in (18) immeditely yields D IS = D IA = 1/N. Given tht η S = 1 nd η A = 1, the second identity then implies D T S = N 1 N, D T A = N + 1 N. We cn therefore summrize the Fierz identities nlogous to (13), (11) ij (11) kl = 1 (S ) ik (S ) lj + 1 (A ) ik (A ) lj, ξ ξ (T ) ij (T ) kl = N 1 (S ) ik (S ) lj N + 1 (A ) ik (A ) lj. N N
7 Prticle prticle chnnel for (pseudo)rel representtions Often, the representtion R is (pseudo)rel, i.e., it is equivlent to its complex conjugte. Then the mtrices Ξ A cn be directly relted to ΓA nd the coefficients D AB to C AB. Let us ssume tht the equivlence is provided by the unitry mtrix Q, tht is, ψ trnsforms in the sme wy s Qψ T. Then the nturl choice for the mtrices Ξ A is ΞA = ΓA Q, nd ccordingly Ξ A = QΓA. (We tcitly ssume ΓA = ΓA, which cn lwys be ensured by suitble definition.) (Anti)symmetry of the mtrices Ξ A, encoded in the sign η A, then implies (Γ A ) T = η A (Q T ) 1 Γ A Q. According to the generl theory of Lie lgebr representtions, the mtrix Q itself is either symmetric or ntisymmetric. In fct, it is symmetric if the representtion R is rel, nd ntisymmetric if R is pseudorel. We shll therefore write generlly Q T = η Q Q. Then (Γ A )T = η Q η A Q 1 Γ A Q. The coefficients D AB now follow from Eq. (15), D AB = Tr [ Γ A Ξ B b (Γ A ) T Ξ Bb ] = ηa η Q Tr [ Γ A Γ B b QQ 1 Γ A QQΓ Bb]. This lredy looks lmost like the expression (7) for C AB, were it not for the mtrix product QQ. However, this must ctully be proportionl to the unit mtrix. To see this, note tht since ψ = Qψ T trnsforms in the sme wy s ψ, ψ ψ must be group invrint. An esy mnipultion shows tht ψ ψ = ψ T QQψ T = ±ψqqψ, the ± sign referring to bosons or fermions. The invrince of the lst expression requires tht QQ commutes with ll mtrices of the representtion R, hence by Schur s lemm must be proportionl to the unit mtrix s long s the representtion R is irreducible. Let us write QQ = η11, where η is complex unit since Q is unitry. We then immeditely obtin the simple finl result D AB = η A η Q ηc AB. (19) Specificlly for the lgebr of Dirc γ-mtrices, Q is the chrge conjugtion mtrix. In the stndrd Dirc representtion we find η Q = η = 1, the coefficients D AB re thus relted to C AB simply by the sign, defining the (nti)symmetry of the representtion A. The vlues of ll Fierz coefficients re summrized in Fig. 1.
8 δ ij δ kl (γ 0 ) ij (γ 0 ) kl (γ ) ij (γ ) kl (σ 0 ) ij (σ 0 ) kl 1 2 ( σ b ) ij (σ b) kl (γ 0 γ 5 ) ij (γ 0 γ 5 ) kl (γ γ 5 ) ij (γ γ 5 ) kl (iγ 5 ) ij (iγ 5 ) kl = 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 3/4 3/4 1/4 1/4 1/4 3/4 1/4 3/4 3/4 3/4 1/4 1/4 1/4 3/4 1/4 3/4 3/4 3/4 1/4 1/4 1/4 3/4 1/4 3/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 3/4 3/4 1/4 1/4 1/4 3/4 1/4 3/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 δ il δ kj (γ 0 ) il (γ 0 ) kj (γ ) il (γ ) kj (σ 0 ) il (σ 0 ) kj 1 2 ( σ b ) il (σ b) kj (γ 0 γ 5 ) il (γ 0 γ 5 ) kj (γ γ 5 ) il (γ γ 5 ) kj (iγ 5 ) il (iγ 5 ) kj δ ij δ kl (γ 0 ) ij (γ 0 ) kl (γ ) ij (γ ) kl (σ 0 ) ij (σ 0 ) kl 1 2 ( σ b ) ij (σ b) kl (γ 0 γ 5 ) ij (γ 0 γ 5 ) kl (γ γ 5 ) ij (γ γ 5 ) kl (iγ 5 ) ij (iγ 5 ) kl = 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 3/4 3/4 1/4 1/4 1/4 3/4 1/4 3/4 3/4 3/4 1/4 1/4 1/4 3/4 1/4 3/4 3/4 3/4 1/4 1/4 1/4 3/4 1/4 3/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 3/4 3/4 1/4 1/4 1/4 3/4 1/4 3/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 1/4 C ik C lj (γ 0 C) ik (Cγ 0 ) lj (γ C) ik (Cγ ) lj (σ 0 C) ik (Cσ 0 ) lj 1 2 ( σ b C ) ik (Cσ b) lj (γ 0 γ 5 C) ik (Cγ 0 γ 5 ) lj (γ γ 5 C) ik (Cγ γ 5 ) lj (iγ 5 C) ik (icγ 5 ) lj Figure 1: Fierz trnsformtion of rottion-invrint Dirc biliners into the prticle ntiprticle nd prticle prticle chnnels.
Lecture 10 :Kac-Moody algebras
Lecture 10 :Kc-Moody lgebrs 1 Non-liner sigm model The ction: where: S 0 = 1 4 d xtr ( µ g 1 µ g) - positive dimensionless coupling constnt g(x) - mtrix bosonic field living on the group mnifold G ssocited
More informationFrame-like gauge invariant formulation for mixed symmetry fermionic fields
Frme-like guge invrint formultion for mixed symmetry fermionic fields rxiv:0904.0549v1 [hep-th] 3 Apr 2009 Yu. M. Zinoviev Institute for High Energy Physics Protvino, Moscow Region, 142280, Russi Abstrct
More informationd 2 Area i K i0 ν 0 (S.2) d 3 x t 0ν
PHY 396 K. Solutions for prolem set #. Prolem 1: Let T µν = λ K λµ ν. Regrdless of the specific form of the K λµ ν φ, φ tensor, its ntisymmetry with respect to its first two indices K λµ ν K µλ ν implies
More information1.9 C 2 inner variations
46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for
More informationREPRESENTATION THEORY OF PSL 2 (q)
REPRESENTATION THEORY OF PSL (q) YAQIAO LI Following re notes from book [1]. The im is to show the qusirndomness of PSL (q), i.e., the group hs no low dimensionl representtion. 1. Representtion Theory
More informationChapter 14. Matrix Representations of Linear Transformations
Chpter 4 Mtrix Representtions of Liner Trnsformtions When considering the Het Stte Evolution, we found tht we could describe this process using multipliction by mtrix. This ws nice becuse computers cn
More informationDEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS
3 DEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS This chpter summrizes few properties of Cli ord Algebr nd describe its usefulness in e ecting vector rottions. 3.1 De nition of Associtive
More informationPhysics 116C Solution of inhomogeneous ordinary differential equations using Green s functions
Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner
More informationChapter 5. , r = r 1 r 2 (1) µ = m 1 m 2. r, r 2 = R µ m 2. R(m 1 + m 2 ) + m 2 r = r 1. m 2. r = r 1. R + µ m 1
Tor Kjellsson Stockholm University Chpter 5 5. Strting with the following informtion: R = m r + m r m + m, r = r r we wnt to derive: µ = m m m + m r = R + µ m r, r = R µ m r 3 = µ m R + r, = µ m R r. 4
More informationCMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature
CMDA 4604: Intermedite Topics in Mthemticl Modeling Lecture 19: Interpoltion nd Qudrture In this lecture we mke brief diversion into the res of interpoltion nd qudrture. Given function f C[, b], we sy
More informationChapter 4 Contravariance, Covariance, and Spacetime Diagrams
Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz
More informationSCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics
SCHOOL OF ENGINEERING & BUIL ENVIRONMEN Mthemtics An Introduction to Mtrices Definition of Mtri Size of Mtri Rows nd Columns of Mtri Mtri Addition Sclr Multipliction of Mtri Mtri Multipliction 7 rnspose
More informationChapter 3 MATRIX. In this chapter: 3.1 MATRIX NOTATION AND TERMINOLOGY
Chpter 3 MTRIX In this chpter: Definition nd terms Specil Mtrices Mtrix Opertion: Trnspose, Equlity, Sum, Difference, Sclr Multipliction, Mtrix Multipliction, Determinnt, Inverse ppliction of Mtrix in
More informationLecture Note 9: Orthogonal Reduction
MATH : Computtionl Methods of Liner Algebr 1 The Row Echelon Form Lecture Note 9: Orthogonl Reduction Our trget is to solve the norml eution: Xinyi Zeng Deprtment of Mthemticl Sciences, UTEP A t Ax = A
More informationBypassing no-go theorems for consistent interactions in gauge theories
Bypssing no-go theorems for consistent interctions in guge theories Simon Lykhovich Tomsk Stte University Suzdl, 4 June 2014 The tlk is bsed on the rticles D.S. Kprulin, S.L.Lykhovich nd A.A.Shrpov, Consistent
More informationLecture 3. In this lecture, we will discuss algorithms for solving systems of linear equations.
Lecture 3 3 Solving liner equtions In this lecture we will discuss lgorithms for solving systems of liner equtions Multiplictive identity Let us restrict ourselves to considering squre mtrices since one
More informationMath 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008
Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of
More informationElements of Matrix Algebra
Elements of Mtrix Algebr Klus Neusser Kurt Schmidheiny September 30, 2015 Contents 1 Definitions 2 2 Mtrix opertions 3 3 Rnk of Mtrix 5 4 Specil Functions of Qudrtic Mtrices 6 4.1 Trce of Mtrix.........................
More informationAMATH 731: Applied Functional Analysis Fall Additional notes on Fréchet derivatives
AMATH 731: Applied Functionl Anlysis Fll 214 Additionl notes on Fréchet derivtives (To ccompny Section 3.1 of the AMATH 731 Course Notes) Let X,Y be normed liner spces. The Fréchet derivtive of n opertor
More informationLecture 14: Quadrature
Lecture 14: Qudrture This lecture is concerned with the evlution of integrls fx)dx 1) over finite intervl [, b] The integrnd fx) is ssumed to be rel-vlues nd smooth The pproximtion of n integrl by numericl
More informationAbstract inner product spaces
WEEK 4 Abstrct inner product spces Definition An inner product spce is vector spce V over the rel field R equipped with rule for multiplying vectors, such tht the product of two vectors is sclr, nd the
More informationChapter 2. Determinants
Chpter Determinnts The Determinnt Function Recll tht the X mtrix A c b d is invertible if d-bc0. The expression d-bc occurs so frequently tht it hs nme; it is clled the determinnt of the mtrix A nd is
More informationThe Regulated and Riemann Integrals
Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue
More informationChapter 3. Vector Spaces
3.4 Liner Trnsformtions 1 Chpter 3. Vector Spces 3.4 Liner Trnsformtions Note. We hve lredy studied liner trnsformtions from R n into R m. Now we look t liner trnsformtions from one generl vector spce
More informationECON 331 Lecture Notes: Ch 4 and Ch 5
Mtrix Algebr ECON 33 Lecture Notes: Ch 4 nd Ch 5. Gives us shorthnd wy of writing lrge system of equtions.. Allows us to test for the existnce of solutions to simultneous systems. 3. Allows us to solve
More informationDuality # Second iteration for HW problem. Recall our LP example problem we have been working on, in equality form, is given below.
Dulity #. Second itertion for HW problem Recll our LP emple problem we hve been working on, in equlity form, is given below.,,,, 8 m F which, when written in slightly different form, is 8 F Recll tht we
More informationg i fφdx dx = x i i=1 is a Hilbert space. We shall, henceforth, abuse notation and write g i f(x) = f
1. Appliction of functionl nlysis to PEs 1.1. Introduction. In this section we give little introduction to prtil differentil equtions. In prticulr we consider the problem u(x) = f(x) x, u(x) = x (1) where
More informationMath 33A Discussion Example Austin Christian October 23, Example 1. Consider tiling the plane by equilateral triangles, as below.
Mth 33A Discussion Exmple Austin Christin October 3 6 Exmple Consider tiling the plne by equilterl tringles s below Let v nd w be the ornge nd green vectors in this figure respectively nd let {v w} be
More informationMATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1
MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further
More informationTheoretical foundations of Gaussian quadrature
Theoreticl foundtions of Gussin qudrture 1 Inner product vector spce Definition 1. A vector spce (or liner spce) is set V = {u, v, w,...} in which the following two opertions re defined: (A) Addition of
More informationPhysics 741 Graduate Quantum Mechanics 1 Solutions to Final Exam, Fall 2011
Physics 74 Grdute Quntum Mechnics Solutions to Finl Exm, Fll 0 You my use () clss notes, () former homeworks nd solutions (vilble online), (3) online routines, such s Clebsch, provided by me, or (4) ny
More informationODE: Existence and Uniqueness of a Solution
Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =
More informationGeneralizations of the Basic Functional
3 Generliztions of the Bsic Functionl 3 1 Chpter 3: GENERALIZATIONS OF THE BASIC FUNCTIONAL TABLE OF CONTENTS Pge 3.1 Functionls with Higher Order Derivtives.......... 3 3 3.2 Severl Dependent Vribles...............
More informationThe First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).
The Fundmentl Theorems of Clculus Mth 4, Section 0, Spring 009 We now know enough bout definite integrls to give precise formultions of the Fundmentl Theorems of Clculus. We will lso look t some bsic emples
More informationLecture 19: Continuous Least Squares Approximation
Lecture 19: Continuous Lest Squres Approximtion 33 Continuous lest squres pproximtion We begn 31 with the problem of pproximting some f C[, b] with polynomil p P n t the discrete points x, x 1,, x m for
More informationHere we study square linear systems and properties of their coefficient matrices as they relate to the solution set of the linear system.
Section 24 Nonsingulr Liner Systems Here we study squre liner systems nd properties of their coefficient mtrices s they relte to the solution set of the liner system Let A be n n Then we know from previous
More informationarxiv: v1 [math.ra] 1 Nov 2014
CLASSIFICATION OF COMPLEX CYCLIC LEIBNIZ ALGEBRAS DANIEL SCOFIELD AND S MCKAY SULLIVAN rxiv:14110170v1 [mthra] 1 Nov 2014 Abstrct Since Leibniz lgebrs were introduced by Lody s generliztion of Lie lgebrs,
More informationNew Expansion and Infinite Series
Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University
More informationNumerical Linear Algebra Assignment 008
Numericl Liner Algebr Assignment 008 Nguyen Qun B Hong Students t Fculty of Mth nd Computer Science, Ho Chi Minh University of Science, Vietnm emil. nguyenqunbhong@gmil.com blog. http://hongnguyenqunb.wordpress.com
More informationState space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies
Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response
More information13: Diffusion in 2 Energy Groups
3: Diffusion in Energy Groups B. Rouben McMster University Course EP 4D3/6D3 Nucler Rector Anlysis (Rector Physics) 5 Sept.-Dec. 5 September Contents We study the diffusion eqution in two energy groups
More informationOn the free product of ordered groups
rxiv:703.0578v [mth.gr] 6 Mr 207 On the free product of ordered groups A. A. Vinogrdov One of the fundmentl questions of the theory of ordered groups is wht bstrct groups re orderble. E. P. Shimbirev [2]
More informationEnergy Bands Energy Bands and Band Gap. Phys463.nb Phenomenon
Phys463.nb 49 7 Energy Bnds Ref: textbook, Chpter 7 Q: Why re there insultors nd conductors? Q: Wht will hppen when n electron moves in crystl? In the previous chpter, we discussed free electron gses,
More informationMATRICES AND VECTORS SPACE
MATRICES AND VECTORS SPACE MATRICES AND MATRIX OPERATIONS SYSTEM OF LINEAR EQUATIONS DETERMINANTS VECTORS IN -SPACE AND -SPACE GENERAL VECTOR SPACES INNER PRODUCT SPACES EIGENVALUES, EIGENVECTORS LINEAR
More information4 The dynamical FRW universe
4 The dynmicl FRW universe 4.1 The Einstein equtions Einstein s equtions G µν = T µν (7) relte the expnsion rte (t) to energy distribution in the universe. On the left hnd side is the Einstein tensor which
More informationLecture 4: Piecewise Cubic Interpolation
Lecture notes on Vritionl nd Approximte Methods in Applied Mthemtics - A Peirce UBC Lecture 4: Piecewise Cubic Interpoltion Compiled 5 September In this lecture we consider piecewise cubic interpoltion
More information2. VECTORS AND MATRICES IN 3 DIMENSIONS
2 VECTORS AND MATRICES IN 3 DIMENSIONS 21 Extending the Theory of 2-dimensionl Vectors x A point in 3-dimensionl spce cn e represented y column vector of the form y z z-xis y-xis z x y x-xis Most of the
More informationThe Algebra (al-jabr) of Matrices
Section : Mtri lgebr nd Clculus Wshkewicz College of Engineering he lgebr (l-jbr) of Mtrices lgebr s brnch of mthemtics is much broder thn elementry lgebr ll of us studied in our high school dys. In sense
More informationQuantum Physics II (8.05) Fall 2013 Assignment 2
Quntum Physics II (8.05) Fll 2013 Assignment 2 Msschusetts Institute of Technology Physics Deprtment Due Fridy September 20, 2013 September 13, 2013 3:00 pm Suggested Reding Continued from lst week: 1.
More informationWeek 10: Line Integrals
Week 10: Line Integrls Introduction In this finl week we return to prmetrised curves nd consider integrtion long such curves. We lredy sw this in Week 2 when we integrted long curve to find its length.
More informationProperties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives
Block #6: Properties of Integrls, Indefinite Integrls Gols: Definition of the Definite Integrl Integrl Clcultions using Antiderivtives Properties of Integrls The Indefinite Integrl 1 Riemnn Sums - 1 Riemnn
More informationLinearity, linear operators, and self adjoint eigenvalue problems
Linerity, liner opertors, nd self djoint eigenvlue problems 1 Elements of liner lgebr The study of liner prtil differentil equtions utilizes, unsurprisingly, mny concepts from liner lgebr nd liner ordinry
More informationDo the one-dimensional kinetic energy and momentum operators commute? If not, what operator does their commutator represent?
1 Problem 1 Do the one-dimensionl kinetic energy nd momentum opertors commute? If not, wht opertor does their commuttor represent? KE ˆ h m d ˆP i h d 1.1 Solution This question requires clculting the
More informationDiscrete Least-squares Approximations
Discrete Lest-squres Approximtions Given set of dt points (x, y ), (x, y ),, (x m, y m ), norml nd useful prctice in mny pplictions in sttistics, engineering nd other pplied sciences is to construct curve
More informationChapter 9 Many Electron Atoms
Chem 356: Introductory Quntum Mechnics Chpter 9 Mny Electron Atoms... 11 MnyElectron Atoms... 11 A: HrtreeFock: Minimize the Energy of Single Slter Determinnt.... 16 HrtreeFock Itertion Scheme... 17 Chpter
More informationLinearly Similar Polynomials
Linerly Similr Polynomils rthur Holshouser 3600 Bullrd St. Chrlotte, NC, US Hrold Reiter Deprtment of Mthemticl Sciences University of North Crolin Chrlotte, Chrlotte, NC 28223, US hbreiter@uncc.edu stndrd
More informationUnit #9 : Definite Integral Properties; Fundamental Theorem of Calculus
Unit #9 : Definite Integrl Properties; Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl
More informationSelf-similarity and symmetries of Pascal s triangles and simplices mod p
Sn Jose Stte University SJSU ScholrWorks Fculty Publictions Mthemtics nd Sttistics Februry 2004 Self-similrity nd symmetries of Pscl s tringles nd simplices mod p Richrd P. Kubelk Sn Jose Stte University,
More informationMath 1B, lecture 4: Error bounds for numerical methods
Mth B, lecture 4: Error bounds for numericl methods Nthn Pflueger 4 September 0 Introduction The five numericl methods descried in the previous lecture ll operte by the sme principle: they pproximte the
More informationContents. Outline. Structured Rank Matrices Lecture 2: The theorem Proofs Examples related to structured ranks References. Structure Transport
Contents Structured Rnk Mtrices Lecture 2: Mrc Vn Brel nd Rf Vndebril Dept. of Computer Science, K.U.Leuven, Belgium Chemnitz, Germny, 26-30 September 2011 1 Exmples relted to structured rnks 2 2 / 26
More informationHW3, Math 307. CSUF. Spring 2007.
HW, Mth 7. CSUF. Spring 7. Nsser M. Abbsi Spring 7 Compiled on November 5, 8 t 8:8m public Contents Section.6, problem Section.6, problem Section.6, problem 5 Section.6, problem 7 6 5 Section.6, problem
More informationMath 270A: Numerical Linear Algebra
Mth 70A: Numericl Liner Algebr Instructor: Michel Holst Fll Qurter 014 Homework Assignment #3 Due Give to TA t lest few dys before finl if you wnt feedbck. Exercise 3.1. (The Bsic Liner Method for Liner
More informationHomework Problem Set 1 Solutions
Chemistry 460 Dr. Jen M. Stnr Homework Problem Set 1 Solutions 1. Determine the outcomes of operting the following opertors on the functions liste. In these functions, is constnt..) opertor: / ; function:
More informationBest Approximation in the 2-norm
Jim Lmbers MAT 77 Fll Semester 1-11 Lecture 1 Notes These notes correspond to Sections 9. nd 9.3 in the text. Best Approximtion in the -norm Suppose tht we wish to obtin function f n (x) tht is liner combintion
More information1 Linear Least Squares
Lest Squres Pge 1 1 Liner Lest Squres I will try to be consistent in nottion, with n being the number of dt points, nd m < n being the number of prmeters in model function. We re interested in solving
More informationQuadratic Forms. Quadratic Forms
Qudrtic Forms Recll the Simon & Blume excerpt from n erlier lecture which sid tht the min tsk of clculus is to pproximte nonliner functions with liner functions. It s ctully more ccurte to sy tht we pproximte
More informationJim Lambers MAT 169 Fall Semester Lecture 4 Notes
Jim Lmbers MAT 169 Fll Semester 2009-10 Lecture 4 Notes These notes correspond to Section 8.2 in the text. Series Wht is Series? An infinte series, usully referred to simply s series, is n sum of ll of
More informationBest Approximation. Chapter The General Case
Chpter 4 Best Approximtion 4.1 The Generl Cse In the previous chpter, we hve seen how n interpolting polynomil cn be used s n pproximtion to given function. We now wnt to find the best pproximtion to given
More informationAdiabatic (Born-Oppenheimer) approximation
Chpter 1 Adibtic (Born-Oppenheimer) pproximtion First write our the Hmiltonin for the nuclei-electron systems. H = 1 A A M A + 1 A B Z A Z B R AB i,a Z A 1 i + r ia m i e i,j 1 r ij (1.0.1) We im t seprting
More informationBernoulli Numbers Jeff Morton
Bernoulli Numbers Jeff Morton. We re interested in the opertor e t k d k t k, which is to sy k tk. Applying this to some function f E to get e t f d k k tk d k f f + d k k tk dk f, we note tht since f
More information2 Fundamentals of Functional Analysis
Fchgruppe Angewndte Anlysis und Numerik Dr. Mrtin Gutting 22. October 2015 2 Fundmentls of Functionl Anlysis This short introduction to the bsics of functionl nlysis shll give n overview of the results
More informationGeometric Sequences. Geometric Sequence a sequence whose consecutive terms have a common ratio.
Geometric Sequences Geometric Sequence sequence whose consecutive terms hve common rtio. Geometric Sequence A sequence is geometric if the rtios of consecutive terms re the sme. 2 3 4... 2 3 The number
More informationIntegral points on the rational curve
Integrl points on the rtionl curve y x bx c x ;, b, c integers. Konstntine Zeltor Mthemtics University of Wisconsin - Mrinette 750 W. Byshore Street Mrinette, WI 5443-453 Also: Konstntine Zeltor P.O. Box
More informationSection 14.3 Arc Length and Curvature
Section 4.3 Arc Length nd Curvture Clculus on Curves in Spce In this section, we ly the foundtions for describing the movement of n object in spce.. Vector Function Bsics In Clc, formul for rc length in
More informationMatrices, Moments and Quadrature, cont d
Jim Lmbers MAT 285 Summer Session 2015-16 Lecture 2 Notes Mtrices, Moments nd Qudrture, cont d We hve described how Jcobi mtrices cn be used to compute nodes nd weights for Gussin qudrture rules for generl
More informationAdvanced Computational Fluid Dynamics AA215A Lecture 3 Polynomial Interpolation: Numerical Differentiation and Integration.
Advnced Computtionl Fluid Dynmics AA215A Lecture 3 Polynomil Interpoltion: Numericl Differentition nd Integrtion Antony Jmeson Winter Qurter, 2016, Stnford, CA Lst revised on Jnury 7, 2016 Contents 3 Polynomil
More informationFourier series. Preliminary material on inner products. Suppose V is vector space over C and (, )
Fourier series. Preliminry mteril on inner products. Suppose V is vector spce over C nd (, ) is Hermitin inner product on V. This mens, by definition, tht (, ) : V V C nd tht the following four conditions
More informationThe Perron-Frobenius operators, invariant measures and representations of the Cuntz-Krieger algebras
The Perron-Frobenius opertors, invrint mesures nd representtions of the Cuntz-Krieger lgebrs Ktsunori Kwmur Reserch Institute for Mthemticl Sciences Kyoto University, Kyoto 606-8502, Jpn For trnsformtion
More informationLecture 1. Functional series. Pointwise and uniform convergence.
1 Introduction. Lecture 1. Functionl series. Pointwise nd uniform convergence. In this course we study mongst other things Fourier series. The Fourier series for periodic function f(x) with period 2π is
More informationSTURM-LIOUVILLE BOUNDARY VALUE PROBLEMS
STURM-LIOUVILLE BOUNDARY VALUE PROBLEMS Throughout, we let [, b] be bounded intervl in R. C 2 ([, b]) denotes the spce of functions with derivtives of second order continuous up to the endpoints. Cc 2
More informationAppendix 3, Rises and runs, slopes and sums: tools from calculus
Appendi 3, Rises nd runs, slopes nd sums: tools from clculus Sometimes we will wnt to eplore how quntity chnges s condition is vried. Clculus ws invented to do just this. We certinly do not need the full
More informationLecture Notes: Orthogonal Polynomials, Gaussian Quadrature, and Integral Equations
18330 Lecture Notes: Orthogonl Polynomils, Gussin Qudrture, nd Integrl Equtions Homer Reid My 1, 2014 In the previous set of notes we rrived t the definition of Chebyshev polynomils T n (x) vi the following
More informationdx dt dy = G(t, x, y), dt where the functions are defined on I Ω, and are locally Lipschitz w.r.t. variable (x, y) Ω.
Chpter 8 Stility theory We discuss properties of solutions of first order two dimensionl system, nd stility theory for specil clss of liner systems. We denote the independent vrile y t in plce of x, nd
More informationCALCULUS WITHOUT LIMITS
CALCULUS WITHOUT LIMITS The current stndrd for the clculus curriculum is, in my opinion, filure in mny spects. We try to present it with the modern stndrd of mthemticl rigor nd comprehensiveness but of
More informationW. We shall do so one by one, starting with I 1, and we shall do it greedily, trying
Vitli covers 1 Definition. A Vitli cover of set E R is set V of closed intervls with positive length so tht, for every δ > 0 nd every x E, there is some I V with λ(i ) < δ nd x I. 2 Lemm (Vitli covering)
More informationReview of Calculus, cont d
Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some
More informationf(x)dl, f(x)ds, f(x)dv (1) Much of their importance lies in the coordinate invariance of the resulting integrals.
Exterior Clculus. Differentil forms In the study of differentil geometry, differentils re defined s liner mppings from curves to the rels. This suggests generliztion, since we know how to integrte over
More informationNumerical integration
2 Numericl integrtion This is pge i Printer: Opque this 2. Introduction Numericl integrtion is problem tht is prt of mny problems in the economics nd econometrics literture. The orgniztion of this chpter
More informationNOTES ON HILBERT SPACE
NOTES ON HILBERT SPACE 1 DEFINITION: by Prof C-I Tn Deprtment of Physics Brown University A Hilbert spce is n inner product spce which, s metric spce, is complete We will not present n exhustive mthemticl
More informationConneted sum of representations of knot groups
Conneted sum of representtions of knot groups Jinseok Cho rxiv:141.6970v4 [mth.gt] 3 Mr 016 November 4, 017 Abstrct When two boundry-prbolic representtions of knot groups re given, we introduce the connected
More informationClassical Mechanics. From Molecular to Con/nuum Physics I WS 11/12 Emiliano Ippoli/ October, 2011
Clssicl Mechnics From Moleculr to Con/nuum Physics I WS 11/12 Emilino Ippoli/ October, 2011 Wednesdy, October 12, 2011 Review Mthemtics... Physics Bsic thermodynmics Temperture, idel gs, kinetic gs theory,
More informationp-adic Egyptian Fractions
p-adic Egyptin Frctions Contents 1 Introduction 1 2 Trditionl Egyptin Frctions nd Greedy Algorithm 2 3 Set-up 3 4 p-greedy Algorithm 5 5 p-egyptin Trditionl 10 6 Conclusion 1 Introduction An Egyptin frction
More informationMapping the delta function and other Radon measures
Mpping the delt function nd other Rdon mesures Notes for Mth583A, Fll 2008 November 25, 2008 Rdon mesures Consider continuous function f on the rel line with sclr vlues. It is sid to hve bounded support
More informationTHE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.
THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS RADON ROSBOROUGH https://intuitiveexplntionscom/picrd-lindelof-theorem/ This document is proof of the existence-uniqueness theorem
More informationContinuous Quantum Systems
Chpter 8 Continuous Quntum Systems 8.1 The wvefunction So fr, we hve been tlking bout finite dimensionl Hilbert spces: if our system hs k qubits, then our Hilbert spce hs n dimensions, nd is equivlent
More informationNUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.
NUMERICAL INTEGRATION 1 Introduction The inverse process to differentition in clculus is integrtion. Mthemticlly, integrtion is represented by f(x) dx which stnds for the integrl of the function f(x) with
More information8.324 Relativistic Quantum Field Theory II
8.324 Reltivistic Quntum Field Theory II MIT OpenCourseWre Lecture Notes Hon Liu, Fll 200 Lecture 5.4: QUANTIZATION OF NON-ABELIAN GAUGE THEORIES.4.: Gue Symmetries Gue symmetry is not true symmetry, but
More informationAQA Further Pure 1. Complex Numbers. Section 1: Introduction to Complex Numbers. The number system
Complex Numbers Section 1: Introduction to Complex Numbers Notes nd Exmples These notes contin subsections on The number system Adding nd subtrcting complex numbers Multiplying complex numbers Complex
More informationQUANTUM CHEMISTRY. Hückel Molecular orbital Theory Application PART I PAPER:2, PHYSICAL CHEMISTRY-I
Subject PHYSICAL Pper No nd Title TOPIC Sub-Topic (if ny) Module No., PHYSICAL -II QUANTUM Hückel Moleculr orbitl Theory CHE_P_M3 PAPER:, PHYSICAL -I MODULE: 3, Hückel Moleculr orbitl Theory TABLE OF CONTENTS.
More information1 1D heat and wave equations on a finite interval
1 1D het nd wve equtions on finite intervl In this section we consider generl method of seprtion of vribles nd its pplictions to solving het eqution nd wve eqution on finite intervl ( 1, 2. Since by trnsltion
More information