The Integration Algorithm of Lax equation for both Generic Lax matrices and Generic Initial Conditions

Several physical applications of Lax equation require its general solution for generic Lax matrices and generic not necessarily diagonalizable initial conditions. In the present paper we complete the analysis started in [arXiv:0903.3771] on the integ…

Authors: Wissam Chemissany, Pietro Fre, Alex

The In tegration Algorithm of Lax equation for b oth Generic Lax matric es and Generi c Initi al Cond itions Wissam Chemissany a , Pietr o F r ´ e b and Alexa nder S. Sorin c a University of L et hbridg e, Physics Dept., L ethbridge A lb erta, Canada T1K 3M4 wissam.chem issany@uleth.ca b Italian Emb assy in the R ussian F e der ation, Denezhny Per eulok, 5, 12 1 0 02 Mosc ow, Russia pietro.fre@ esteri.it and Dip a rtime nto di Fisic a T e oric a, Universit´ a di T orino, & INFN - Sezion e di T orino via P. Giuria 1, I-10125 T orino, Italy fre@to.infn .it c Bo go liub ov L a b or atory of The or e tic al Physics, Joint Institute for Nucle ar R ese ar ch, 141980 Dubna, Mosc ow R e gion, Russia sorin@theor .jinr.ru Abstract Sev eral physic al applications of Lax equation require its general solution for generic La x matric es and generic not necessarily diago nalizable initial conditions. In the presen t pap er w e complete the analysis started in [arXiv:0903. 3771 ] o n th e in tegration of Lax equations with b oth generic Lax op er ators and generic initial conditions. W e presen t a complete general in tegration formula holding tru e for an y (d iagonaliz able or non diagonaliza ble) initial Lax matrix and giv e an original rigorous mathematical pro of of its v alidity relying on no previously published results. † This w or k is supported in part by the Italia n Ministry o f Univ ersity (MIUR) under contracts PRIN 2007- 0240 4 5. F urthermore the work of A.S. was partially s uppo rted b y the RFBR Grants No. 0 9-02- 12417 -ofi m , 09-02 -0072 5-a, 09-02 -9134 9-NNIO a; DF G grant No 43 6 R US/113/ 669, and the Heisen b erg- Landau Progr am. W.C. is suppo rted in part b y the Natural Sciences and E ngineering Research Council (NSER C) of Cana da. 1 In tro duction Lax equation app ears in a v ariet y o f phy sical-mathematical problems whic h turn out to constitute integrable dynamical systems. An in tegration algorithm for generic matrix La x equation w as o r iginally deriv ed in the mathematical literature in [1], [2] and it was applied in the con text of sup ergr a vit y to cosmic billiards in [3], [4], [5] a nd to blac k-holes in [6], [7], [8] on the basis of their 3 D description pioneered in [9]. The la tter application to the case of blac k-holes rev ealed that the in tegration algorithm of [1], [2] did not co ve r the case of non-diagonalizable initial conditions. Suc h a situation o ccurs in particular when the initial Lax op erator at time t = 0 is nilp otent and this case is extremely r elev an t for Ph ysics since it corresp onds to extremal blac k-ho les [9]. An extension of the in tegration algorithm to the case of nilp oten t op erators was presen ted in [8]. In the app endix of that pap er it w as also conjectured a general fo rm ula, whic h w as v erified for some nontrivial cases, that prov ides the in tegrat io n of Lax equation for completely g eneric initial data. In the presen t pap er w e recall the general formula o f [8] a nd we provide t he rig orous mathematical pro o f that indeed it solve s Lax equation with a r bitrary initial conditions (diagonalizable or non diagonalizable). Our pro of is completely original and independen t from the algorithm discussed in [1],[2]. 2 The integration algorit hm for g eneric Lax matrices and generic in itial co ndition s Let us consider Lax equation 1 d dt L ( t ) + [ L > ( t ) − L < ( t ) , L ( t ) ] = 0 (2.1) where L ( t ) denotes a time-dep enden t generic N × N matrix and remo ve an y h yp othesis on the nature of the initial conditions. W e a r e in terested in writing an integration algo rithm for eq.(2.1 ) whic h should hold true for generic initia l matrices L (0) ≡ L 0 indep enden tly from the fact that L 0 b e diagonalizable o r non diagonalizable, nilp otent or not, symmetric or non symmetric with resp ect to an y definite or indefinite metric η . It turns out that suc h an in tegration a lgorithm exists, is v ery simple and equally simple and elegant is the formal pro of of its v alidit y . F ollow ing [8] w e first presen t the in tegration form ula and then provide the mathemat- ical pro of that it satisfies Lax equation. 1 Hereafter, we denote b y L > ( L < ) the upp er (low er) triangular par t including the diagona l of the matrix L , and L T is the transp osed matrix. 1 2.1 In tegration form ula The matrix elemen ts L pq ( t ) of the time-ev olving Lax op erator which coincides with the giv en L 0 at time t = 0 a re constructed as follow s [8 ]: L pq ( t ) = 1 p D p ( t ) D p − 1 ( t ) D q ( t ) D q − 1 ( t ) p X k =1 q X ℓ =1 M pk ( t ) ( C ( t ) L 0 ) k ℓ f M q ℓ ( t ) . (2.2) The building blo c ks a pp earing in eq.(2.2) are defined as follows . W e hav e M ik ( t ) := ( − 1) i + k Det          C 1 , 1 ( t ) . . . C 1 ,i − 1 ( t ) . . . . . . . . . d C k , 1 ( t ) . . . [ C k ,i − 1 ( t ) . . . . . . . . . C i, 1 ( t ) . . . C i,i − 1 ( t )          , 1 ≤ k ≤ i ; 2 ≤ i ≤ N , M 11 ( t ) := 1 (2.3) where the hats on the en tries corresp onding to the k - th row mean that suc h a ro w has b een suppressed giving rise to a squared ( i − 1) × ( i − 1 ) matrix of which one can calculate the determinan t. Similarly: f M ik ( t ) := ( − 1) i + k Det     C 1 , 1 ( t ) . . . d C 1 ,k ( t ) . . . C 1 ,i ( t ) . . . . . . . . . . . . . . . C i − 1 , 1 ( t ) . . . [ C i − 1 ,k ( t ) . . . C i − 1 ,i ( t )     , 1 ≤ k ≤ i ; 2 ≤ i ≤ N ; f M 11 ( t ) := 1 , (2.4) where the hatted k - th column is deleted just as in eq.(2.3) it was deleted the k -th row . In the ab o v e formulae w e hav e used the follo wing definitions: C ( t ) := e − 2 t L 0 (2.5) and D i ( t ) := D et     C 1 , 1 ( t ) . . . C 1 ,i ( t ) . . . . . . . . . C i, 1 ( t ) . . . C i,i ( t )     , D 0 ( t ) := 1 . (2.6) 2.2 The theorem and its pro of In o r der to prov e the integration formula (2.2) w e first recast it into another equiv alent form whic h is not only the most con v enien t for the formal pr o of but also the simplest and b est suited for computer implemen tatio n. 2 Theorem 2.1 The solution of L ax e quation (2.1) w ith generic initial c ondition L (0) = L 0 is given by L ( t ) = Q ( C ) L 0 ( Q ( C )) − 1 (2.7) wher e the N × N matrix Q( C ( t )) is Q ij ( C ) := 1 p D i ( t ) D i − 1 ( t ) i X k =1 M ik ( t ) ( C 1 2 ( t )) k ,j ≡ 1 p D i ( t ) D i − 1 ( t ) Det     C 1 , 1 ( t ) . . . C 1 ,i − 1 ( t ) ( C 1 2 ( t )) 1 ,j . . . . . . . . . . . . C i, 1 ( t ) . . . C i,i − 1 ( t ) ( C 1 2 ( t )) i,j     (2.8) and C 1 2 ( t ) ≡ e − t L 0 (se e, e q. (2.5)). Pro of 2.1 The matr ix Q ( C ) satisfies three prop erties 2 X > ( t ) := Q ( C ) C 1 2 ( t ) ≡ upper tr iang ul ar , (2.9) ( X < ( t )) − 1 := Q ( C ) ( C 1 2 ( t )) − 1 ≡ low er triang ul ar , (2.10) ( X > ( t )) ii = ( X < ( t )) ii (2.11) whic h are crucial in what follows. Therefore, the matrix e − t L 0 ≡ C 1 2 ( t ) admits the follo wing t w o different represen tations: e − t L 0 = ( Q ( C )) − 1 X > ( t ) , (2.12) e − t L 0 = X < ( t ) Q ( C ) (2.13) resulting from eqs. (2 .9) and (2.10). D ifferen tiating with resp ect to time t , one a f ter the other equations (2.12), (2.1 3) and (2.7), then using t hem one can straightforw ar dly deriv e the following relations: Q ( C ) d dt ( Q ( C )) − 1 = − L ( t ) −  d dt X > ( t )  ( X > ( t )) − 1 , (2.14) Q ( C ) d dt ( Q ( C )) − 1 = + L ( t ) + ( X < ( t )) − 1  d dt X < ( t )  , (2.15) d dt L ( t ) +  Q ( C ) d dt ( Q ( C )) − 1 , L ( t )  = 0 . (2.16) 2 The matrix ( X > ( t )) ij (2.9) is upp er triang ular, since at j < i ther e is a co incidence of tw o columns in the determinant originating from (2 .8) in eq. (2.9). The matrix ( X < ( t )) − 1 ij (2.10) is low er triangular, since at j > i the a ll e nt ries of the last column in the determinan t originating from (2.8) in eq. (2.10) bec ome equal to zero. 3 A simple insp ection of eqs.(2.14 – 2 .15) with the use of relation ( 2 .11) leads to the conclusion that the quantit y Q ( C ) d dt ( Q ( C )) − 1 is a tra celess matrix whic h is expressed in terms of the Lax o p erator L ( t ) as follow s Q ( C ) d dt ( Q ( C )) − 1 = L > ( t ) − L < ( t ) , (2.17) then with this matrix Q ( C ) d dt ( Q ( C )) − 1 equation (2.16) repro duces L a x equation (2.1) and form ulae (2.7 – 2.8) giv e indeed its g eneral solution for generic initial conditions L 0 . This ends the pro of of our prop osition. ♦ No w, we prese nt the useful expression of the in v erse matrix ( Q ( C )) − 1 : ( Q ( C )) − 1 j i := 1 p D i ( t ) D i − 1 ( t ) i X ℓ =1 ( C 1 2 ( t )) j,ℓ f M iℓ ( t ) ≡ 1 p D i ( t ) D i − 1 ( t ) Det        C 1 , 1 ( t ) . . . C 1 ,i ( t ) . . . . . . . . . C i − 1 , 1 ( t ) . . . C i − 1 ,i ( t ) ( C 1 2 ( t )) j, 1 . . . ( C 1 2 ( t )) j,i        (2.18) whic h fo llo ws from eq. (2.2). It is a very simple exercise t o v erify that indeed  Q ( C ) ( Q ( C )) − 1  pq = 1 p D p ( t ) D p − 1 ( t ) D q ( t ) D q − 1 ( t ) p X k =1 q X ℓ =1 M pk ( t ) C k ℓ ( t ) f M q ℓ ( t ) = δ p,q (2.19) since it is equal to zero if p 6 = q , due to a coincidence o f t w o ro ws or columns in the determinan ts originating from (2 .8 – 2.18) in eq. (2.19). It is in teresting to note one more prop erty of the ma t r ix Q ( C ) ( 2 .8): Q T ( C T ) = ( Q ( C )) − 1 (2.20) whic h is obvious if one compares equations ( 2 .8) and (2.18). When L 0 is symmetric the same is true of C T and this implies that Q ( t ) is orthogonal, namely Q ( t ) ∈ SO(N). Similarly when L 0 is pseudo-ortho g onal η -metric symmetric, Q ( t ) is pseudo-orthogonal, Q ( t ) ∈ SO(p , N − P). Y et Q ( t ) ex ists in general also for non η -symmetric initial data. In this case Q ( t ) ∈ gl (N). 2.3 The Generalized Linear Sy stem Finally , based on the know ledge of the constructed general solution (2.7 – 2.8) with generic initial data L 0 , w e commen t briefly on a w ay of a generalization ( suggested by this solution 4 with the aim to repro duce it) of Ko dama–Y e algorithm, whic h w as based on the in v erse scattering metho d applied to the case of the diagonalizable L 0 [2]. A link to w ards the inv erse scattering metho d is giv en b y the follo wing observ ation. Relations (2.7) and (2.17) corresponding to solution Q ( C ) (2.8), b eing iden tically rewritten as follows : L ( t ) Q ( C ) = Q ( C ) L 0 , (2.21) d dt Q ( C ) = − ( L > ( t ) − L < ( t )) Q ( C ) , (2.22) represen t a generalized linear system for the matrix Q ( C ), whose consistency is provide d b y Lax equation (2.1). This generalized linear system could b e a start ing p o in t t o apply the in v erse scattering metho d to cons truct the solution for Q ( C ). But, there is a subtlet y: up to no w the inv erse scattering metho d was alw a ys applied o nly when L 0 is a diagonal or a dia gonalizable matrix; it was nev er applied b efore to the case of non-diagonalizable L 0 . Just the classical case of diagonal (diagonalizable) L 0 w as considered in [2] where t he corresp onding solution to the linear system was constructed. The v ery existence of our solution Q ( C ) (2.8) f o r generic L 0 giv es an evidence tha t a g eneralizatio n of the algorithm of [2] t o the case of the generalized linear systems (2.21 – 2.2 2) with generic L 0 should exist as well. It is indee d the case, and the generalization is rather straightforw ard. So it turns out that one can rep eat a ll the steps of the algorithm, starting from the generalize d linear system (2.21 – 2.22), in such a w ay that all the in termediate op eratio ns ar e formulated in purely matrix terms; thus they are insensitiv e to whether L 0 is a diagonalizable or a non diagonalizable matrix: this pro ces s ends with the solution presen ted in (2.8). 3 Conclus ions In the presen t pap er w e completed t he analysis started in [8] on the integration of Lax equations with b oth generic Lax op erators and generic initial conditions b y presen ting a simple, original rig o rous pro of of the v alidity o f the in tegration algo r ithm prop osed in [8]. The presen ted pro of is constructiv e, and moreo v er it is inte resting fo r it s o wn sak e since it op ens a new deep insigh t in to the structure of t he corresp o nding in tegrable T o da-like systems whic h w e plan to discuss else where in connection with relev ant phy sical problems like the classification and construction of Sup ergra vit y Blac k Hole solutions. W e also clarified the relation b et w een our new in tegrat io n algorithm and t he inv erse scattering framew or k adopt ed b y Ko dama et al fo r the in tegration of Lax equation in the diagonalizable case. Aknolwdgemen ts W e would lik e to express our gratitude to o ur colla b orators J. R osseel, T. v an Riet and M. T rigia n te for the many in teresting discussions and exc hanges of useful information. A ve ry sp ecial akno wledgemen t one o f us (W.C.) w ould lik e to express to Y. Ko dama fo r the many rep eated, essen tial and enligh tening discussions. 5 References [1] Y. Ko dama and J. Y e, T o da hier ar c h y with indefinite metric , Ph ysica D91 (19 96) 321, [arXiv:solv-in t/95 05004]. [2] Y. Ko dama and J. Y e, Iso-sp e ctr al de formations of gener al m a trix and their r e ductions on Lie algebr as , Commun. Mat h. Phys . 178 (1996) 765, [arXiv:solv-in t/95060 05]. [3] P . F r ´ e and A.S. Sorin, Inte gr ability of Sup er gr avity Bil liar ds and the gener alize d T o da lattic e e quations , Nucl. Ph ys. B733 (200 6) 334, [arXiv:hep-th/05101 56]. [4] P . F r ´ e a nd A.S. Sorin, The arr ow of time and the Weyl gr oup: al l s up er gr avity bil liar ds ar e inte g r able, [arXiv:071 0.1059], to app ear in Nuclear Ph ysics B . [5] P . F re and J. Rosseel, O n ful l-fle dge d sup er g r avity c osmolo gies and their Weyl gr oup asymptotics, [arXiv:0805.43 39]. [6] P . F r´ e, A.S. Sorin, Sup er gr avity Black Holes and Bi l liar ds and Liouvil le inte gr able structur e of dual Bor el algebr as , [7] W. Chemissan y , J. Rosseel, M. T rigiante, T. V an Riet, The ful l inte gr ation of b lack hole solutions to symmetric sup er gr avity the ories , [arXiv:0903.27 7 7]. [8] P . F re and A. S. Sorin, The Inte gr ation Algorithm for Nilp otent Orbits of G/H ⋆ L ax systems: for Extr emal Black Holes, [arXiv:0903.3 771]. [9] E. Berg sho eff, W. Chemis sany , A. Plo egh, M. T rig ian te and T. V an Riet, Gener- ating Ge o desic Flows and Sup er gr a v ity Solutions, ” Nucl. Ph ys. B812 (200 9 ) 3 43, 6

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