ON KAC PARAMETERS AND SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS OF LIE ALGEBRA sl n. Zlatko Drmač and Tomislav Šikić

Size: px
Start display at page:

Download "ON KAC PARAMETERS AND SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS OF LIE ALGEBRA sl n. Zlatko Drmač and Tomislav Šikić"

Transcription

1 RAD HAZU MATEMATIČKE ZNANOSTI Vo 18 = 519 (2014): ON KAC PARAMETERS AND SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS OF LIE ALGEBRA s n Zatko Drmač and Tomisav Šikić Abstract This paper presents interesting spectra properties of a particuar integer skew-symmetric matrix, used to encode information on Z-gradation of type s for cassica affine Lie agebra sn It is shown that the hidden Kac parameters can be reveaed using an expicity computed eigenvector in a Gram-Schmidt orthogonaization process 1 Introduction The connection between the Z-gradation of type s of an affine Lie agebra g and the finite order automorphisms of the simpe Lie agebra g is among the eariest important achievements of the theory of affine Lie agebras (see [7], [8] or [5]) In 1968, V G Kac ([7]) showed that a N-th order automorphisms of g are, in fact, parameterized (in such a way) by a sequence of nonnegative reativey prime integers (s 0, s 1,, s ) for which N = k i=0 a is i Here the a i s are positive integer abes of the corresponding Dynkin Diagram X (see [8]) The sequence (s 0, s 1,, s ) is in [14] designated by the term Kac parameters and denoted by s Kac Further, [14] provides an agorithm to determine s Kac for every Z-gradation of the type s for the cassica{ affine Lie agebras, ie, } Lie agebras with Dynkin diagrams of the type X A (1), B (1), C (1), D (1) An increased interest for researching various gradations, corresponding speciaizations of Wey-Kac character formua for affine Lie agebras and for certain reaizations of modues (ie representations) by vertex operators is triggered in the eary 1980 s, et us just mention [13], [9], [10] Many of the vertex operator constructions of integrabe highest weight representations and the corresponding Z-gradations and speciaizations are not described in terms of Kac parameters, see eg [10], [12], [11] 2010 Mathematics Subject Cassification 17B67, 15A18, 15B57 Key words and phrases Z-gradation for cassica (affine) Lie agebra, Kac parameters of finite order automorphisms of simpe Lie agebras, matrix of speciaized roots, integer skew-symmetric matrix, spectra decomposition 55

2 56 Z DRMAČ AND T ŠIKIĆ The reaization of the cassica simpe Lie agebra by traceess matrices (see [3]) enabes us to find the connection between their Z-gradations of type s = (s 1,, s n 1 ) and certain n n integer skew-symmetric matrix, caed the matrix of speciaized roots, and denoted by MSR X (s) In fact, this matrix is a convenient encoding of the corresponding Z-gradation of the type s of the cassica simpe Lie agebra (see Definition 21) Using some basic properties of the matrix of speciaized roots, the agorithm [14] extracts the proper eement from the Wey group which points to hidden Kac parameters In this process of finding the Kac parameters, the agorithm rearranges a eements of MSR X (s) in an interesting way Especiay, in the case of Lie agebra with X = A (1), the upper triange becomes nonnegative, and the ower triange becomes nonpositive This interesting phenomenon motivated the authors of this paper to study the structure of the matrix of speciaized roots A = MSR (1) A (s) Athough integer, skew-symmetric and of rank ony two, A possesses very intriguing structure For instance, an eigenvector corresponding to a nonzero eigenvaue determines a eements of the Wey group that point to the hidden Kac parameters simpe sorting of the components of the imaginary part of this eigenvector reveas the key permutation(s) Furthermore, such an eigenvector of a nonzero eigenvaue can be computed by an expicit formua its rea part is constant and the imaginary part is obtained by the Gram- Schmidt orthogonaization of the vector of partia sums of s= (s 1,, s n 1 ) against the vector of ones Thus, using pure inear agebra, we have devised a simpe and efficient agorithm for computing the key eements of the Wey group of s n As an iustration of its power, we easiy reproduce the resuts of the agorithm in [14], see Coroary 38 The rest of the paper is organized as foows In 2, we set the stage, define the matrix of speciaized roots and reca the resuts from [14] In 3 we first observe that the matrix of speciaized roots is of rank two, and give expicit formuas for its eigenvaues and eigenvectors We show that the permutation that sorts the imaginary part of an eigenvectors reveas the underying structure Section 4 presents an appication of our resuts to bosonic and fermionic reaization [11], which is connected with some Z-gradations of type s 2 The matrix of speciaized roots of s n It is we known that traceess n n matrices form the Lie subagebra g = s n of the genera inear (Lie) agebra g n Ceary, dim(s n ) = n 2 1, with the standard basis B = { E ij e i e T j i j} {H i E ii E i+1,i+1 i = 1,, n 1} (Here e i denotes the i-th coumn of the n n identity matrix I, and E ii = e i e T i )

3 SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS 57 Now it is very important to notice that the set {H i i = 1,, n 1} spans one maxima tora subagebra h (consisting of semisimpe eements) In the case when g is (semi)simpe, the Lie subagebra h is Cartan subagebra Since h is abeian, the set ad g h = {ad g h h h} is simutaneousy diagonaizabe, where ad g h(x) = [h, x], x g Hence, g is the direct sum of the subspaces g α = {x g ad(h)(x) = α(h)x, h h}, where α is a inear functiona (α h ) The set of a nonzero α h for which g α 0 is usuay denoted by R and caed the root system The eements from R are caed the roots (of g reative to h) Foowing this notation, we have (21) g = g 0 + α Rg α, where g 0 = h The decomposition (21) is caed a Cartan or root space decomposition In the case of s n, the root system R corresponds to the Dynkin diagram A n 1 and = (α 1,, α n 1 ) denotes the standard basis of the root system R, ie each root α R can be written uniquey as n 1 α = k i α i, i=1 with integra coefficients k i a nonegative or a nonpositive Let {ˆε i, i = 1,, n} be a dua basis of the basis {E ii, i = 1,, n} of the diagona matrices from g n Let ε i be the restriction of ˆε i on the Cartan subagebra h It is we known (see [2] and [3]) that R = {±(ε i ε j ), 1 i < j n} (22) α 1 = ε 1 ε 2, α 2 = ε 2 ε 3,, α n 2 = ε n 2 ε n 1, α n 1 = ε n 1 ε n Let now s = (s 1,, s n 1 ) be an (n 1)-tupe of integers and α = n 1 i=1 k iα i an arbitrary root Define the mapping deg : R Z by n 1 (23) deg(α) = k i s i i=1 For the roots from the basis, it hods that (24) deg(α i ) = s i i = 1,, n 1 By (22) we can interpret (24) as a system of inear equations with variabes deg(ε i ) (25) deg(ε i ) deg(ε i+1 ) = s i i = 1,, n 1 We reca the foowing notion of the matrix of speciaized roots [14]

4 58 Z DRMAČ AND T ŠIKIĆ Definition 21 Let = (α 1,, α n 1 ) be a basis of the simpe Lie agebra root system R (for simpe Lie agebra s n ) Let s = (s 1,, s n 1 ) be an arbitrary (n 1)-tupe of integers, and et the mapping deg : R Z for the basis be given by (23) The matrix [a ij ] i,j Z n n, defined by (26) a ij = deg(ε i ) deg(ε j ) i, j {1,, n} is caed the matrix of speciaized roots and denoted by MSR (1) A (s) n 1 Remark 22 Note that the vaues of variabes deg(ε i ) are not uniquey determined by (25), but the above definition does not depend on the choice of soutions deg(ε i ) Indeed the functiona ε i ε j for i j is aways a root and we have foowing equations a i,j def n 1 = deg(ε i ) deg(ε j ) = deg(ε i ε j ) = deg(α) = deg( k i α i ), where α = ε i ε j For i = j it is evidenty a i,i = deg(ε i ) deg(ε i ) = 0 Remark 23 In [14], the term matrix of speciaized roots is simutaneousy defined for a cassica simpe Lie agebras, ie for Lie agebras with Dynkin diagrams of the type X {A (1), B (1), C (1), D (1) }, and the corresponding notation is MSR X (s) For the sake of brevity, in this paper we focus ony on the case s n (ie Dynkin diagram A (1) n 1 ) and we simpify the notation by writing MSR(s) MSR (1) A (s) Our preiminary resuts indicate that simiar n 1 deveopment is possibe for other Dynkin diagrams Exampe 24 Let g = s 5 and s = (s 1, s 2, s 3, s 4 ) = (3, 11, 5, 2) The root system is R = {±α 1, ±α 2, ±α 3, ±α 4, ±(α 1 + α 2 ), ±(α 2 + α 3 ), ±(α 3 + α 4 ), i=1 ±(α 1 + α 2 + α 3 ), ±(α 2 + α 3 + α 4 ), ±(α 1 + α 2 + α 3 + α 4 )} The matrix of speciaized roots reads MSR(s) = It is important to notice that every deg(α) for α R is paced on (i, j)- position in the matrix which reated to corresponding root vector For instance, deg(α 2 + α 3 )(= 16) is paced on the (2, 4)-position At the same time the matrix E 2,4 is root vector for the root α 2 + α 3 h, ie [h, E 2,4 ] = (α 2 + α 3 )(h) E 2,4, h h

5 SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS MSR(s) and the Wey group As we emphasized in the introduction, the matrix of speciaized roots MSR X (s) has one of the main roes in the agorithm for finding Kac parameters of Z-gradation of type s for cassica affine Lie agebras In fact, the matrix MSR(s) wi serve to detect another base of the root system R that wi guarantee the positivity of the Kac parameters (see [14]) Before we show our proposition about the connection between matrix MSR(s) and the hidden base we introduce an additiona notation reated to the Wey group Let E be the ambient Eucidean space for the root system R The subgroup of GL(E) generated by the refections σ α (β) = β 2(β, α) (α, α) α, α R is the Wey group W Since any refection σ α eaves the roots system R invariant, the Wey group in fact permutes the set R Moreover W acts simpy transitivey on bases, ie i) if is another base of R, then = σ( ) for some σ W ; ii) if = σ( ) then σ = id Since Wey group of s n is isomorphic to symmetric group S n, its cardinaity rapidy grows with increasing n, W = n! Hence, to determine an appropriate base of the root system R, the naive search is not feasibe The foowing proposition gives us the properties of MSR(s), which wi enabe us to find an appropriate base via corresponding eement from Wey group Proposition 25 Let MSR(s) be the matrix of speciaized roots for an arbitrary (n 1)-tupe of integers s = (s 1,, s n 1 ) Then 1 The MSR(s) is an skew-symmetric matrix 2 The coumns Ae i, i = 1,, n, of A can be ordered so that Ae j1 Ae j2 Ae jn 1 Ae jn, where the inequaity between two vectors is understood entry-wise 3 The matrix MSR(s) contains at east one row composed of nonnegative integers 4 The permutation π = ( 1 2 n 1 n ) j 1 j 2 j n 1 j n Sn ( W) yieds the basis = (π(α 1 ),, π(α n 1 )) of the root system R, which satisfies the required condition deg(π(α i )) = a ji,j i+1 Z +, i = 1,, n 1 5 For each cycic permutation (i 1, i 2,, i r 1, i r ) S n, it hods that a i1,i 2 + a i2,i a ir 1,i r + a ir,i 1 = 0

6 60 Z DRMAČ AND T ŠIKIĆ Proof (1) From the definition (26) it foows that MSR(s) is skewsymmetric (2) Let i, j, k be arbitrary indices from {1, 2,, n} Using (26), we have (27) a ij a ik = deg(ε i ) deg(ε j ) deg(ε i ) + deg(ε k ) = deg(ε k ) deg(ε j ) = a kj Hence, the difference between two eements does not depend on the choice of the row index In fact, we can simutaneousy order eements for a rows in the foowing way (28) a i,j1 a i,j2 a i,jn 1 a i,jn, i = 1,, n This impies that the caim (2) is true (3) Since a i,i = 0, (28) impies that the j1 th row consist of positive eements (4) It is we known that permutation π is an eement of the Wey group of Lie agebra s n and the Wey group W of any simpe Lie agebra acts transitivey on bases (see for instance [6]) Since the mapping between the roots α i π(α i ) is determined by mapping between the functionas ε k ε jk, k = 1, 2,, n, we can write deg(π(α i )) = deg(π(ε i ε i+1 )) = deg(ε ji ε ji+1 )) = a ji,j i+1 for every i = 1, 2,, n 1 Using (27) and (28), we immediatey concude that deg(π(α i )) = a ji,j i+1 = a i,ji+1 a i,ji 0 (5) Let (i 1, i 2,, i r ) be an arbitrary cycic permutation and denote a cyce = a i1,i a ir 1,i r + a ir,i 1 By definition of MSR(s) (26) a cyce = deg(ε i1 ε i2 ) + + deg(ε ir 1 ε ir ) + deg(ε ir ε i1 ) = deg[(ε i1 ε i2 ) + + (ε ir 1 ε ir ) + (ε ir ε i1 )] = deg(0) = 0 Remark 26 From Proposition 25 ( 5) we know that for any cosed circuit of any ength k 2, a i1i 2 + a i2i a ik 1 i k + a ik i 1 = 0 Thus, the tropica spectra radius of A is 22 An exampe ρ trop (A) = max i 1,,i k a i1i 2 + a i2i a ik 1i k + a ik i 1 k Exampe 27 Take n = 12 and = 0 s = ( )

7 SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS 61 The matrix MSR(s) is given by MSR(s) = The 10 th row of MSR(s) contains ony nonnegative integers (a 10,j) = We can order the seected row a 10,10 a 10,6 a 10,9 a 10,3 a 10,1 a 10,8 a 10,2 a 10,5 a 10,4 a 10,7 a 10,11 a 10, This determines the proper eement of the Wey group ( π = which points to the right base, and to the corresponding (n 1)-tupe of nonnegative integers ), s = (a 10,6, a 6,9, a 9,3, a 3,1, a 1,8 a 8,2, a 2,5, a 5,4, a 4,7, a 7,11, a 11,12 ) = Then the functionas = (4, 1, 1, 1, 0, 2, 0, 1, 0, 0, 11) α 1 = ε 10 ε 6 = (α 6 + α 7 + α 8 + α 9 ) α 2 = ε 6 ε 9 = α 6 + α 7 + α 8 α 3 = ε 9 ε 3 = (α 3 + α α 8 ) α 4 = ε 3 ε 1 = (α 1 + α 2 + α 3 ) α 5 = ε 1 ε 8 = α 1 + α α 7 α 6 = ε 8 ε 2 = (α α 7 ) α 7 = ε 2 ε 5 = α 2 + α 3 + α 4 α 8 = ε 5 ε 4 = α 4 α 9 = ε 4 ε 7 = α 4 + α 5 + α 6 α 10 = ε 7 ε 11 = α α 10 α 11 = ε 11 ε 12 = α 11 form the basis = (α 1,, α n 1) The matrix of speciaized roots MSR(s ) is MSR(s ) = Note that

8 62 Z DRMAČ AND T ŠIKIĆ The permutation π redistributes the signs so that in the resuting skew symmetric matrix the upper triange is positive, and the ower negative The entries in each coumn and in each row are monotonicay ordered The difference of any two rows (or any two coumns) of MSR(s ) is a vector with a entries equa The same property hods for MSR(s) (See Proposition 25) 3 Spectra decomposition of MSR(s) The matrix of speciaized roots can be written in compact form as a difference of two dyads (rank-one matrices), parametrized by the integers s i This eads to a different and more natura parametrization and aows detaied spectra anaysis of MSR(s) as a function of s, without using the matrix entries (26) 31 A dyadic representation of MSR(s) Our key observation is the foowing simpe proposition Proposition 31 Let s = (s 1,, s n 1 ) be an arbitrary (n 1) tupe of integers The matrix of speciaized roots MSR(s) can be represented as (31) MSR(s) A = EST T T S T E T, where E = ( ) T ( ), S = 0 s1 s n 1, T = The vector S = (0 s) is uniquey determined by A: S = e T 1 T T AT 1, s = e T 1 T T AT 1 (e 2 e n ) Further, it hods E T AE = SAS T = 0 Proof From the Definition 21, it immediatey foows a i,i+1 = s i, i = 1,, n 1 (cf (25)), and from [14] we know that a i,j = a i,i+1 + a i+1,i a j 2,j 1 + a j 1,j Hence, for i < j, a ij = s i + + s j 1 Since A is skew symmetric by definition, a ji = a ij On the other hand, it is straightforward to check that the righthand side of (31) gives precisey the same eements of A The remaining caims are easiy proved; the ony sma technica detais is to note that the inverse of T is an upper bidiagona matrix with unit diagona and the vaue of minus one at the first superdiagona Remark 32 Note that we have actuay defined a inear mapping M( ) : R n 1 Skew n, M(s) = EST T T S T E T into the vector space Skew n of skew symmetric matrices It is easy to show that M(s) = 0 n n if and ony if s = 0 n 1 It is aso cear that the matrices MSR(s) are integer vectors in an (n 1) dimensiona inear subspace of Skew n

9 SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS Spectra decomposition The Schur form of A is diagona (see eg [1]), and we want expicit formuas for its eigenvaues and eigenvectors The specia structure of A certainy raises expectations regarding the structure of its spectra decomposition Our goa is not to merey compute the eigenvaues and the eigenvectors, but to discover more of the intrinsic structure of A that may, in turn, impart new knowedge in the Lie agebra setting In the seque, the Eucidean inner product is denoted by <, >, and = <, > is the corresponding induced norm The imaginary unit is i = 1 Theorem 33 Let s = (s 1,, s n 1 ) be an arbitrary (n 1) tupe of integer scaars, 1 and et A = EST T T S T E T, where E, S, T are as in Proposition 31 Further, set and et P = (ST ) T = ( 0, s 1, s 1 + s 2,, s s n 1 ) T, 1 (32) P = P E T E EET P be the resut of the Gram Schmidt orthogonaization of P to E Then A EP T P E T has spectra decomposition A = W ΛW, where Λ = diag(λ 1,, λ n ), W W = I n, and λ 1 = i <P, P><E, E> <P, E> 2, λ 2 = i <P, P><E, E> <P, E> 2, λ 3 = λ 4 = = λ n = 0 The corresponding eigenvectors (the coumns of W ) are w 1 = w 2 = w 1 w 1, where w 1 = P E E +i P, w 2 w 2, where w 2 = P E E i P, w 3,, w n = any orthonorma basis of span(w 1, w 2 ) Proof We first note that A 0 is of rank two There are many simpe ways to show ( this For instance, the congruence B T AB with B = T 1 yieds B T 0 s AB = s T 0 n 1,n 1 ), which is of rank two for any s 0 (Note here that B is upper bidiagona matrix with unit diagona and with the vaue 1 on the first super diagona In fact, B is the Choesky factor of Cartan matrix) The nu space of A is easiy cacuated as Ker(A) = span(e, P ) 1 At this point, we are ony interested in integer s i s; going over to rea or compex s foows mutatis mutandis

10 64 Z DRMAČ AND T ŠIKIĆ Hence, Im(A) = span(e, P ) If we orthogonaize P against E to compute P = P 1 n EET P, then span(e, P ) = span(e, P ), E T P = 0 Hence, A has ony two non zero eigenvaues of the form (due to skew symmetry) λ 1 = iω, λ 2 = iω, where ω R + The remaining eigenvaues are λ 3 = = λ n = 0 It is easiy checked that the negative semidefinite A 2 = A T A has doube nonzero eigenvaue with eigenvectors E and P : ( A 2 n E = ζe n 1 A 2 P = ζp with ζ = k s k (n k)) n s j < 0 k=1 Note that ζ = (E T P ) 2 np T P, that is, ζ =<P, E> 2 <P, P ><E, E> Since P and E are not coinear, ζ < 0 by the Cauchy Schwarz inequaity The number ζ is doube eigenvaue of A 2, and the corresponding eigenspace is span(e, P ) = span(e, P) We immediatey concude that ω = ζ Let w 1 = x + iy be an (essentiay unique) eigenvector beonging to λ 1 Then w 2 = x iy is an eigenvector beonging to λ 2 Further, we equivaenty write Ax = ωy, Ay = ωx, ie A ( x y ) = ( x y ) ( ) 0 ω ω 0 From x T Ax = ωx T y it foows x T y = 0, ie x and y are perpendicuar in the Eucidean inner product Comparing y T Ax and x T Ay we concude that aso x T x = y T y, ie x and y are of the same Eucidean ength If we take x 2 = y 2 = 1, then A = ω(xy T yx T ) It remains to find x and y Note that, due to skew symmetry, k=1 j=1 A P = η 1 E, η 1 = ET A P E T E = ET AP E T E, and AE = η 2 P, η2 = ET AP P T P Putting the two reations together and re scaing yieds ( A P E E Hence, we can write P ) ( = P E E ω = ET AP E P, λ 1 = iω, P ) 0 E T AP E P 0 ET AP E P w 1 = P E E +i P Remark 34 Note that the proof contains the identity ζ = ω 2 = η 1 η 2 =<P, P><E, E> <P, E> 2 = <AP, E> 2 <E, E>< P, P>,

11 SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS 65 and that we can say that the spectrum of A is in ±i Z + Further, if we compare the first entries in the reation AE = η 2 P, using the representation A = EP T P E T, we immediatey get η 2 = n Aso, A P = η 1 E yieds η 1 = P T P Remark 35 An eigenvector w 1 = x +iy is determined up to mutipication with non zero compex scaar α +iβ Take an arbitrary α +iβ 0 and consider (α +iβ)(x +iy) = x +iỹ Note that (33) ) ( ) ( x ( α/ρ β/ρ ỹ = ρ x y β/ρ α/ρ ), ρ = α +iβ If the scaing factor is such that α + iβ = 1, then this is just a change of orthogona basis in the image of A Coroary 36 For an arbitrary choice of the eigenvector w = x + iy of the eigenvaue λ 1 (or λ 2 ), the n points P j = (x j, y j ), j = 1,, n, are coinear Proof The caim obviousy hods true for the particuary chosen eigenvectors w 1 and w 2 from the Theorem 33 Using Remark 35 and the fact that transformation (33) preserves coinearity 2 of the points (given by two coordinates in each row of ( x y ) ) the caim remains true for any other eigenvector of λ 1 (λ 2 ) Coroary 37 Let π be a permutation that sorts the components of the vector P in a non-increasing sequence, and et w = x + iy be an arbitrary eigenvector beonging to λ 1 or λ 2 Then π is a sorting permutation for both x and y Proof Again, the caim obviousy hods true for the particuary chosen eigenvectors w 1 and w 2 from the Theorem 33 Next note that, due to coinearity, a permutation that sorts the components of x, aso sorts the components of y (but not necessariy in the same direction, eg y may get sorted in non-decreasing sequence, whie x is sorted in non increasing sequence) And finay, since any transformation from Remark 35, with ρ = 1, just rotates the ine with the points as a rigid body, the order is preserved, up to the direction An additiona scaing with ρ 1 preserves the order Coroary 38 Let Π be the matrix representation of the permutation π from Coroary 37 Then π is aso a sorting permutation for P Further, a entries in the upper triange of Π T AΠ are non negative; by skew symmetry a entries in the ower triange are non positive In each row of Π T AΠ the entries are monotonicay increasing; in each of its coumns, the entries are monotonicay decreasing For each custer of k equa entries in Π T P, the 2 Use the determinant criterion for any three points

12 66 Z DRMAČ AND T ŠIKIĆ matrix Π T AΠ has a k k zero bock on the main diagona (rows) with indices in such a zero bock are mutuay equa A coumns as Proof We use the formuas from the proof of Theorem 33 to write A A EP T P E T = ω P 2 E 2 (E P T P E T ) The concusion about the distribution of the signs in Π T AΠ foows from the foowing simpe fact: if the entries of a vector v are non decreasing, v 1 v n, then (Ev T ve T ) ij 0 for 1 i j n, and in each row (coumn) of Ev T ve T the entries are monotonicay increasing (decreasing) Coroary 39 The exponentia of A can be expicity written as the rotation e A = I + sin ω ω A + 1 cos ω ω 2 A 2, ω = A 2 Proof It is quite easy to setup the quadratic Lagrange poynomia that resembes the exponentia function on the spectrum of A: L 2 (iω) = e iω, L 2 ( iω) = e iω, L 2 (0) = 1 Hence, L 2 (z) = 1 + (sin ω/ω)z + ((1 cos ω)/ω 2 )z 2, and e A = L 2 (A) Note that this is an instance of the Rodrigues formua for 3 3 rotation, and it aso foows as a specia case from the generaized Rodrigues formua [4], since it hods A 3 = ω 2 A Exampe 310 (Exampe 27 continued) The vector P reads P = 1 ( ) T Its sorting permutation is the same π as in Exampe 27, and the permuted matrix is Π T AΠ = MSR(s ), as in Exampe 27 Atogether 3! 2! 2! permutations eave the structure of Π T AΠ intact This ambiguity of the sorting permutation is easiy seen in the repeated entries of the vector P 4 Spectra decomposition of MSR(s) in the case of bosonic and fermionic reaization As we pointed out in 1, many of the vertex operator constructions of integrabe highest weight representations and the corresponding gradations and speciaizations are not described in terms of Kac parameters For instance, in [11] the bosonic and fermionic reaization of the affine agebra g n for the conjugacy casses of Heisenberg subagebra are parametrized by partitions of the integer n n = {n 1, n 2,, n r }; n 1 n 2 n r

13 SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS 67 The associated Z-gradations of the constructed modues are determined by n-tupe s = (s 0,, s n 1 ) of reativey prime integers defined by ( n1 + n r 1 s = N,,, 1, n 1 + n 2 1, 1 1,,, n 2 + n 3 1, 2n 1 n r n 1 n }{{ 1 2n } 1 n 2 n 2 n }{{ 2 2n } 2 n 3 n 1 1 n ,, n ) r 1 + n r 1 (41),, n r 1 n r 1 }{{} n r 1 1 1,,, 1 2n r 1 n r n r n r }{{} n r 1 In this particuar construction, the positive integer N is computed as { N, if N ( 1 n i + 1 n j ) 2Z for a i, j {1,, r}; (42) N = 2N if N ( 1 n i + 1 n j ) / 2Z for some (i, j), where N is the east common mutipe of {n 1, n 2,, n r } Since N( ni+ni+1 2n in i+1 1) are negative integers, the above Z-gradations are not parametrized by Kac parameters The corresponding (n 1)-tupe, derived from (41) reads s = ( s 1 s 2 s n 1 ) (43) = ( N,, N, N n 1 + n 2 N, N,, N, N n 2 + n 3 N, n 1 n }{{ 1 2n } 1 n 2 n 2 n }{{ 2 2n } 2 n 3 n 1 1 n 2 1 N N,,,, N n r 1 + n r N, N,, N ) n r 1 n r 1 2n r 1 n r n r n r }{{}}{{} n r 1 1 n r 1 Exampe 41 (See [14, Exampe 38]) Take n = 12 and {n 1, n 2, n 3 } = {3, 4, 5} For a given partition we have N = 120 and s = ( 40, 40, 85, 30, 30, 30, 93, 24, 24, 24, 24 ) The corresponding matrix MSR(s) has the form MSR(s) = Foowing the agorithm from [14] we have the 8 th row of nonnegative integers (a 8,j) =

14 68 Z DRMAČ AND T ŠIKIĆ We can order the seected row and determine the eement of the Wey group ( ) π =, which points to (n 1)-tupe of nonnegative integers s = (a 8,4, a 4,1, a 1,9, a 9,5, a 5,2, a 2,10, a 10,6, a 6,11, a 11,3, a 3,7, a 7,12 ) = (3, 5, 16, 9, 15, 0, 15, 9, 16, 5, 3) Since N = 120, the associated Z-gradation is determined by reativey prime integers s = ( 32, 40, 40, 85, 30, 30, 30, 93, 24, 24, 24, 24 ) The hidden Kac parameters for the mentioned bosonic and fermionic reaization are s Kac = (s Kac 0,, s Kac 11 ) = (24, 3, 5, 16, 9, 15, 0, 15, 9, 16, 5, 3) where s Kac 0 = a 12,8 + N = = 24 Of course, thanks to Theorem 33 (or more precisey Coroary 38) the corresponding permutation Π redistributes the signs so that in the resuting skew-symmetric matrix the upper triange is positive, and the ower negative Π T AΠ = Note that the Kac parameters are paced on the first superdiagona in the matrix Π T AΠ The specia structure (43) of s impies additiona structure of the key vector P defined in (32) Theorem 42 Let n = {n 1,, n r } be a partition of n Let s be given by (43) Then P 1 2 Zn and its nonzero entries come in ± pairs (hence, for even (odd) n an even (odd ) number of entries of P can be zero) More precisey, the sign structure of P can be described as foows: First, partition P as ) ( P (44) P = [1] P [r], P [i] 1 2 Zni, i = 1,, r

15 SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS 69 Then the vectors P [i] have the foowing sign structure: (45) (46) if n i is even: P [i] j if n i is odd: { P [i] j [i] = P n < 0, ; j = 1,, n i i j+1 2 [i] ni 1 = P n i j+1 < 0, ; j = 1,, 2 P [i] n i = 0 Proof We first show that P 1 2 Zn Since P is integer vector and E T E = n, it suffices to show that 1 n ET P 1 2 Z, ie 1 n EET P 1 2 Zn Note that (47) 1 n ET P = s n (s 1 + s 2 ) + + (s 1 + s s n 1 ) = (1/n) s k (n k) n Set M = n 1 n r By induction with respect to the index r, it can be shown that n 1 (48) M ṡ k (n k) = 1 2 (n 1 1)n 2 n r n, where ṡ k = s k N k=1 Then we can write (47) as 1 n ET P = (1/n) N n 1 Mṡ k (n k) = (1/n) N M M 1 2 (n 1 1)n 2 n r n (49) k=1 = N M 1 2 (n 1 1)n 2 n r = N 2n 1 (n 1 1) From N n 1 Z and (n1 1) Z we can concude that 1 n ET P 1 2 Z, ie P 1 2 Zn Since P and E are orthogona, it must hod n P i=1 i = 0; so we know that P must have entries of both signs Since the numbers s i are particuary structured, some additiona structure of P is expected For instance, the first bock in the partition (44) reads P [1] = 0 s 1 s 1+s 2 s 1+s 2+ +s n1 1 N(n 1 1)/(2n 1) N(n 1 1)/(2n 1) N(n 1 1)/(2n 1) N(n 1 1)/(2n 1) k=1, where s 1 = = s n1 1 = N, n 1 and one can easiy check that the entries of P [1] are monotonicay increasing and that P [1] j + P [1] n 1 j+1 = (j 1) N n 1 N(n 1 1) 2n 1 + (n 1 j) N n 1 N(n 1 1) 2n 1 = 0

16 70 Z DRMAČ AND T ŠIKIĆ The structure of the second bock is sighty more compicated and we have P [2] [2] j + P n = s 2 j s n1 + (j 1) N N(n 1 1) + s s n1 n 2 2n 1 + (n 2 j) N n 2 N(n 1 1) 2n 1 = 0, where we have used that s s n1 = N( n 1 1 n 1 + n 1 + n 2 2n 1 n 2 1), s n1+1 = = s n1+n 2 1 = N n 2 The genera case is anaogous but sighty more technica, and we skip the detais for the sake o brevity Coroary 43 Let the assumptions of Theorem 42 hod true If, in addition, either N = 2N or n = {n 1,, n r } is a partition of n with reativey prime numbers n i, then P is an integer vector Proof Using the cacuation (49) we have the foowing discussion Suppose that N = 2N From N 2n 1 = N n 1 it is obvious that 1 n ET P Z, ie P is an integer vector Now et n = {n 1,, n r } be a reativey prime partition If n 1 is odd, then (n 1 1) is even and the right hand side in (49) is an integer, hence P Z n If n 1 is even, one of {n j : j = 2,, r} must be odd (since n 1, n 2,, n r are reativey prime) If n j is odd, then (by (42)) N ( 1 n n j ) 2Z + 1, which impies that N = 2N, and the right hand side in (49) is again an integer Hence, P is an integer vector Coroary 44 Let Π be a permutation matrix such that ˆP Π T P has entries in non decreasing order Then the matrix  ΠT AΠ is symmetric with respect to the anti diagona (i, n i + 1), i = 1,, n Proof We aready know that  = η 1(E ˆP T ˆP E T ) Because of the structure of P (Theorem 42), we concude that ˆP i = ˆP n i+1, i = 1,, n Hence, the entries â ij of  satisfy â ij = η 1 ( ˆP j ˆP i ) = η 1 ( ˆP n i+1 ˆP n j+1 ) = â n j+1,n i+1 Exampe 45 For instance, in the case of A = MSR(s) for s such as in Exampe 41, we ceary see the symmetry respect to the anti diagona which is based on the symmetry of the corresponding tupe (s Kac 1, s Kac 2,, s Kac 11 ) = (3, 5, 16, 9, 15, 0, 15, 9, 16, 5, 3) Acknowedgements We are greaty indebted to Mirko Primc for encouraging comments and discussions This work has been supported by Croatian Science Foundation under the project no 2634

17 SPECTRAL DECOMPOSITION OF A MATRIX OF SPECIALIZED ROOTS 71 References [1] R Bhatia, Matrix Anaysis, Springer, Graduate Texts in Mathematics 169, 1997 [2] N Bourbaki, Groupes et agébres de Lie, Chapitres 4,5,6, Hermann, 1968 [3] N Bourbaki, Groupes et agébres de Lie, Chapitres 7,8, Hermann, 1975 [4] J Gaier and D Xu, Computing exponentias of skew-symmetric matrices and ogarithms of orthogona matrices, Internationa Journa of Robotics and Automation 17 (2002), 1 11 [5] S Hegason, Differentia Geometry, Lie Groups, and Symmetric spaces, Academic Press, 1978 [6] J E Humphreys, Introduction to Lie agebras and Representation Theory, Springer- Verag, 1972 [7] V G Kac, Automorphisms of finite order of semi simpe Lie agebras, Funct Ana App 3 (1969), [8] V G Kac, Infinite dimensiona Lie agebras, Cambridge University Press, 1990 [9] V G Kac, D A Kazhdan, J Lepowsky and R L Wison, Reaisations of the basic representation of the Eucidean Lie agebras, Advance in Math 42 (1981), [10] V G Kac and D H Peterson, 112 constructions of the basic representation of the oop group of E 8, in: Symposium on anomaies, geometry, topoogy, Word Sci Pubishing, Singapore, 1985, [11] F ten Kroode and J van de Leur, Bosonic and fermionic reaization of the affine agebra ĝ n, Commun Math Phys 137 (1991), [12] J Lepowsky, Cacuus of twisted vertex operators, Proc Nat Acad Sci USA 82 (1985), [13] J Lepowsky and R L Wison, Construction of the affine Lie agebra A (1) 1, Comm Math Phys 62 (1978), [14] T Šikić, Z gradations of cassica affine Lie agebras and Kac parameters, Comm Agebra 32 (2004), O Kacovim parametrima i spektranoj dekompoziciji matrice specijaiziranih korijena Liejeve agebre s n Zatko Drmač i Tomisav Šikić Sažetak Ovaj rad prezentira zanimjiva spektrana svojstva odredene cjeobrojne antisimetrične matrice, koja nosi u sebi podatke o Z-gradacijama tipa s kasične afine Liejeve agebre sn Pokazano je da se skriveni Kacovi parametri mogu rekonstruirati iz ekspicitno izračunatih svojstvenih vektora pomoću Gram- Schmidtova postupka ortogonaizacije

18 72 Z DRMAČ AND T ŠIKIĆ Zatko Drmač Facuty of Sciences, Department of Mathematics University of Zagreb Zagreb Croatia E-mai: drmac@mathhr Tomisav Šikić Facuty of Eectrica Engineering and Computing University of Zagreb Zagreb Croatia E-mai: tomisavsikic@ferhr Received:

Problem set 6 The Perron Frobenius theorem.

Problem set 6 The Perron Frobenius theorem. Probem set 6 The Perron Frobenius theorem. Math 22a4 Oct 2 204, Due Oct.28 In a future probem set I want to discuss some criteria which aow us to concude that that the ground state of a sef-adjoint operator

More information

2M2. Fourier Series Prof Bill Lionheart

2M2. Fourier Series Prof Bill Lionheart M. Fourier Series Prof Bi Lionheart 1. The Fourier series of the periodic function f(x) with period has the form f(x) = a 0 + ( a n cos πnx + b n sin πnx ). Here the rea numbers a n, b n are caed the Fourier

More information

The Group Structure on a Smooth Tropical Cubic

The Group Structure on a Smooth Tropical Cubic The Group Structure on a Smooth Tropica Cubic Ethan Lake Apri 20, 2015 Abstract Just as in in cassica agebraic geometry, it is possibe to define a group aw on a smooth tropica cubic curve. In this note,

More information

C. Fourier Sine Series Overview

C. Fourier Sine Series Overview 12 PHILIP D. LOEWEN C. Fourier Sine Series Overview Let some constant > be given. The symboic form of the FSS Eigenvaue probem combines an ordinary differentia equation (ODE) on the interva (, ) with a

More information

CONGRUENCES. 1. History

CONGRUENCES. 1. History CONGRUENCES HAO BILLY LEE Abstract. These are notes I created for a seminar tak, foowing the papers of On the -adic Representations and Congruences for Coefficients of Moduar Forms by Swinnerton-Dyer and

More information

Partial permutation decoding for MacDonald codes

Partial permutation decoding for MacDonald codes Partia permutation decoding for MacDonad codes J.D. Key Department of Mathematics and Appied Mathematics University of the Western Cape 7535 Bevie, South Africa P. Seneviratne Department of Mathematics

More information

A Brief Introduction to Markov Chains and Hidden Markov Models

A Brief Introduction to Markov Chains and Hidden Markov Models A Brief Introduction to Markov Chains and Hidden Markov Modes Aen B MacKenzie Notes for December 1, 3, &8, 2015 Discrete-Time Markov Chains You may reca that when we first introduced random processes,

More information

ORTHOGONAL MULTI-WAVELETS FROM MATRIX FACTORIZATION

ORTHOGONAL MULTI-WAVELETS FROM MATRIX FACTORIZATION J. Korean Math. Soc. 46 2009, No. 2, pp. 281 294 ORHOGONAL MLI-WAVELES FROM MARIX FACORIZAION Hongying Xiao Abstract. Accuracy of the scaing function is very crucia in waveet theory, or correspondingy,

More information

MIXING AUTOMORPHISMS OF COMPACT GROUPS AND A THEOREM OF SCHLICKEWEI

MIXING AUTOMORPHISMS OF COMPACT GROUPS AND A THEOREM OF SCHLICKEWEI MIXING AUTOMORPHISMS OF COMPACT GROUPS AND A THEOREM OF SCHLICKEWEI KLAUS SCHMIDT AND TOM WARD Abstract. We prove that every mixing Z d -action by automorphisms of a compact, connected, abeian group is

More information

Generalized Bell polynomials and the combinatorics of Poisson central moments

Generalized Bell polynomials and the combinatorics of Poisson central moments Generaized Be poynomias and the combinatorics of Poisson centra moments Nicoas Privaut Division of Mathematica Sciences Schoo of Physica and Mathematica Sciences Nanyang Technoogica University SPMS-MAS-05-43,

More information

An explicit Jordan Decomposition of Companion matrices

An explicit Jordan Decomposition of Companion matrices An expicit Jordan Decomposition of Companion matrices Fermín S V Bazán Departamento de Matemática CFM UFSC 88040-900 Forianópois SC E-mai: fermin@mtmufscbr S Gratton CERFACS 42 Av Gaspard Coriois 31057

More information

Another Class of Admissible Perturbations of Special Expressions

Another Class of Admissible Perturbations of Special Expressions Int. Journa of Math. Anaysis, Vo. 8, 014, no. 1, 1-8 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.1988/ijma.014.31187 Another Cass of Admissibe Perturbations of Specia Expressions Jerico B. Bacani

More information

(f) is called a nearly holomorphic modular form of weight k + 2r as in [5].

(f) is called a nearly holomorphic modular form of weight k + 2r as in [5]. PRODUCTS OF NEARLY HOLOMORPHIC EIGENFORMS JEFFREY BEYERL, KEVIN JAMES, CATHERINE TRENTACOSTE, AND HUI XUE Abstract. We prove that the product of two neary hoomorphic Hece eigenforms is again a Hece eigenform

More information

Week 6 Lectures, Math 6451, Tanveer

Week 6 Lectures, Math 6451, Tanveer Fourier Series Week 6 Lectures, Math 645, Tanveer In the context of separation of variabe to find soutions of PDEs, we encountered or and in other cases f(x = f(x = a 0 + f(x = a 0 + b n sin nπx { a n

More information

THE REACHABILITY CONES OF ESSENTIALLY NONNEGATIVE MATRICES

THE REACHABILITY CONES OF ESSENTIALLY NONNEGATIVE MATRICES THE REACHABILITY CONES OF ESSENTIALLY NONNEGATIVE MATRICES by Michae Neumann Department of Mathematics, University of Connecticut, Storrs, CT 06269 3009 and Ronad J. Stern Department of Mathematics, Concordia

More information

arxiv: v1 [nlin.si] 1 Feb 2008

arxiv: v1 [nlin.si] 1 Feb 2008 Symmetry, Integrabiity and Geometry: Methods and Appications SIGMA 4 (2008, 011, 19 pages Cassica R-Operators and Integrabe Generaizations of Thirring Equations Taras V. SKRYPNYK SISSA, via Beirut 2-4,

More information

Orthonormal bases of states in terms of labelling and Racah operators

Orthonormal bases of states in terms of labelling and Racah operators Journa of Physics: Conference Series Orthonorma bases of states in terms of abeing and Racah operators To cite this artice: Rutwig Campoamor-Stursberg 01 J. Phys.: Conf. Ser. 33 0101 Reated content - Interna

More information

Homogeneity properties of subadditive functions

Homogeneity properties of subadditive functions Annaes Mathematicae et Informaticae 32 2005 pp. 89 20. Homogeneity properties of subadditive functions Pá Burai and Árpád Száz Institute of Mathematics, University of Debrecen e-mai: buraip@math.kte.hu

More information

4 Separation of Variables

4 Separation of Variables 4 Separation of Variabes In this chapter we describe a cassica technique for constructing forma soutions to inear boundary vaue probems. The soution of three cassica (paraboic, hyperboic and eiptic) PDE

More information

LECTURE NOTES 8 THE TRACELESS SYMMETRIC TENSOR EXPANSION AND STANDARD SPHERICAL HARMONICS

LECTURE NOTES 8 THE TRACELESS SYMMETRIC TENSOR EXPANSION AND STANDARD SPHERICAL HARMONICS MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Physics 8.07: Eectromagnetism II October, 202 Prof. Aan Guth LECTURE NOTES 8 THE TRACELESS SYMMETRIC TENSOR EXPANSION AND STANDARD SPHERICAL HARMONICS

More information

First-Order Corrections to Gutzwiller s Trace Formula for Systems with Discrete Symmetries

First-Order Corrections to Gutzwiller s Trace Formula for Systems with Discrete Symmetries c 26 Noninear Phenomena in Compex Systems First-Order Corrections to Gutzwier s Trace Formua for Systems with Discrete Symmetries Hoger Cartarius, Jörg Main, and Günter Wunner Institut für Theoretische

More information

Selmer groups and Euler systems

Selmer groups and Euler systems Semer groups and Euer systems S. M.-C. 21 February 2018 1 Introduction Semer groups are a construction in Gaois cohomoogy that are cosey reated to many objects of arithmetic importance, such as cass groups

More information

arxiv: v1 [math.fa] 23 Aug 2018

arxiv: v1 [math.fa] 23 Aug 2018 An Exact Upper Bound on the L p Lebesgue Constant and The -Rényi Entropy Power Inequaity for Integer Vaued Random Variabes arxiv:808.0773v [math.fa] 3 Aug 08 Peng Xu, Mokshay Madiman, James Mebourne Abstract

More information

Algorithms to solve massively under-defined systems of multivariate quadratic equations

Algorithms to solve massively under-defined systems of multivariate quadratic equations Agorithms to sove massivey under-defined systems of mutivariate quadratic equations Yasufumi Hashimoto Abstract It is we known that the probem to sove a set of randomy chosen mutivariate quadratic equations

More information

Lecture Note 3: Stationary Iterative Methods

Lecture Note 3: Stationary Iterative Methods MATH 5330: Computationa Methods of Linear Agebra Lecture Note 3: Stationary Iterative Methods Xianyi Zeng Department of Mathematica Sciences, UTEP Stationary Iterative Methods The Gaussian eimination (or

More information

Mat 1501 lecture notes, penultimate installment

Mat 1501 lecture notes, penultimate installment Mat 1501 ecture notes, penutimate instament 1. bounded variation: functions of a singe variabe optiona) I beieve that we wi not actuay use the materia in this section the point is mainy to motivate the

More information

6 Wave Equation on an Interval: Separation of Variables

6 Wave Equation on an Interval: Separation of Variables 6 Wave Equation on an Interva: Separation of Variabes 6.1 Dirichet Boundary Conditions Ref: Strauss, Chapter 4 We now use the separation of variabes technique to study the wave equation on a finite interva.

More information

Relaxed Highest Weight Modules from D-Modules on the Kashiwara Flag Scheme. Claude Eicher, ETH Zurich November 29, 2016

Relaxed Highest Weight Modules from D-Modules on the Kashiwara Flag Scheme. Claude Eicher, ETH Zurich November 29, 2016 Reaxed Highest Weight Modues from D-Modues on the Kashiwara Fag Scheme Caude Eicher, ETH Zurich November 29, 2016 1 Reaxed highest weight modues for ŝ 2 after Feigin, Semikhatov, Sirota,Tipunin Introduction

More information

MARKOV CHAINS AND MARKOV DECISION THEORY. Contents

MARKOV CHAINS AND MARKOV DECISION THEORY. Contents MARKOV CHAINS AND MARKOV DECISION THEORY ARINDRIMA DATTA Abstract. In this paper, we begin with a forma introduction to probabiity and expain the concept of random variabes and stochastic processes. After

More information

FRIEZE GROUPS IN R 2

FRIEZE GROUPS IN R 2 FRIEZE GROUPS IN R 2 MAXWELL STOLARSKI Abstract. Focusing on the Eucidean pane under the Pythagorean Metric, our goa is to cassify the frieze groups, discrete subgroups of the set of isometries of the

More information

CS229 Lecture notes. Andrew Ng

CS229 Lecture notes. Andrew Ng CS229 Lecture notes Andrew Ng Part IX The EM agorithm In the previous set of notes, we taked about the EM agorithm as appied to fitting a mixture of Gaussians. In this set of notes, we give a broader view

More information

Product Cosines of Angles between Subspaces

Product Cosines of Angles between Subspaces Product Cosines of Anges between Subspaces Jianming Miao and Adi Ben-Israe Juy, 993 Dedicated to Professor C.R. Rao on his 75th birthday Let Abstract cos{l,m} : i cos θ i, denote the product of the cosines

More information

Appendix of the Paper The Role of No-Arbitrage on Forecasting: Lessons from a Parametric Term Structure Model

Appendix of the Paper The Role of No-Arbitrage on Forecasting: Lessons from a Parametric Term Structure Model Appendix of the Paper The Roe of No-Arbitrage on Forecasting: Lessons from a Parametric Term Structure Mode Caio Ameida cameida@fgv.br José Vicente jose.vaentim@bcb.gov.br June 008 1 Introduction In this

More information

Summation of p-adic Functional Series in Integer Points

Summation of p-adic Functional Series in Integer Points Fiomat 31:5 (2017), 1339 1347 DOI 10.2298/FIL1705339D Pubished by Facuty of Sciences and Mathematics, University of Niš, Serbia Avaiabe at: http://www.pmf.ni.ac.rs/fiomat Summation of p-adic Functiona

More information

ANALOG OF HEAT EQUATION FOR GAUSSIAN MEASURE OF A BALL IN HILBERT SPACE GYULA PAP

ANALOG OF HEAT EQUATION FOR GAUSSIAN MEASURE OF A BALL IN HILBERT SPACE GYULA PAP ANALOG OF HEAT EQUATION FOR GAUSSIAN MEASURE OF A BALL IN HILBERT SPACE GYULA PAP ABSTRACT. If µ is a Gaussian measure on a Hibert space with mean a and covariance operator T, and r is a} fixed positive

More information

JENSEN S OPERATOR INEQUALITY FOR FUNCTIONS OF SEVERAL VARIABLES

JENSEN S OPERATOR INEQUALITY FOR FUNCTIONS OF SEVERAL VARIABLES PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Voume 128, Number 7, Pages 2075 2084 S 0002-99390005371-5 Artice eectronicay pubished on February 16, 2000 JENSEN S OPERATOR INEQUALITY FOR FUNCTIONS OF

More information

BALANCING REGULAR MATRIX PENCILS

BALANCING REGULAR MATRIX PENCILS BALANCING REGULAR MATRIX PENCILS DAMIEN LEMONNIER AND PAUL VAN DOOREN Abstract. In this paper we present a new diagona baancing technique for reguar matrix pencis λb A, which aims at reducing the sensitivity

More information

Convergence Property of the Iri-Imai Algorithm for Some Smooth Convex Programming Problems

Convergence Property of the Iri-Imai Algorithm for Some Smooth Convex Programming Problems Convergence Property of the Iri-Imai Agorithm for Some Smooth Convex Programming Probems S. Zhang Communicated by Z.Q. Luo Assistant Professor, Department of Econometrics, University of Groningen, Groningen,

More information

MATH 172: MOTIVATION FOR FOURIER SERIES: SEPARATION OF VARIABLES

MATH 172: MOTIVATION FOR FOURIER SERIES: SEPARATION OF VARIABLES MATH 172: MOTIVATION FOR FOURIER SERIES: SEPARATION OF VARIABLES Separation of variabes is a method to sove certain PDEs which have a warped product structure. First, on R n, a inear PDE of order m is

More information

BASIC NOTIONS AND RESULTS IN TOPOLOGY. 1. Metric spaces. Sets with finite diameter are called bounded sets. For x X and r > 0 the set

BASIC NOTIONS AND RESULTS IN TOPOLOGY. 1. Metric spaces. Sets with finite diameter are called bounded sets. For x X and r > 0 the set BASIC NOTIONS AND RESULTS IN TOPOLOGY 1. Metric spaces A metric on a set X is a map d : X X R + with the properties: d(x, y) 0 and d(x, y) = 0 x = y, d(x, y) = d(y, x), d(x, y) d(x, z) + d(z, y), for a

More information

arxiv: v3 [math.ac] 7 Dec 2009

arxiv: v3 [math.ac] 7 Dec 2009 SUPERTROPICAL MATRIX ALGEBRA II: SOLVING TROPICAL EQUATIONS ZUR IZHAKIAN AND LOUIS ROWEN arxiv:0902.2159v3 [math.ac] 7 Dec 2009 Abstract. We continue the study of matrices over a supertropica agebra, proving

More information

Restricted weak type on maximal linear and multilinear integral maps.

Restricted weak type on maximal linear and multilinear integral maps. Restricted weak type on maxima inear and mutiinear integra maps. Oscar Basco Abstract It is shown that mutiinear operators of the form T (f 1,..., f k )(x) = R K(x, y n 1,..., y k )f 1 (y 1 )...f k (y

More information

Primal and dual active-set methods for convex quadratic programming

Primal and dual active-set methods for convex quadratic programming Math. Program., Ser. A 216) 159:469 58 DOI 1.17/s117-15-966-2 FULL LENGTH PAPER Prima and dua active-set methods for convex quadratic programming Anders Forsgren 1 Phiip E. Gi 2 Eizabeth Wong 2 Received:

More information

FFTs in Graphics and Vision. Spherical Convolution and Axial Symmetry Detection

FFTs in Graphics and Vision. Spherical Convolution and Axial Symmetry Detection FFTs in Graphics and Vision Spherica Convoution and Axia Symmetry Detection Outine Math Review Symmetry Genera Convoution Spherica Convoution Axia Symmetry Detection Math Review Symmetry: Given a unitary

More information

SUPPLEMENTARY MATERIAL TO INNOVATED SCALABLE EFFICIENT ESTIMATION IN ULTRA-LARGE GAUSSIAN GRAPHICAL MODELS

SUPPLEMENTARY MATERIAL TO INNOVATED SCALABLE EFFICIENT ESTIMATION IN ULTRA-LARGE GAUSSIAN GRAPHICAL MODELS ISEE 1 SUPPLEMENTARY MATERIAL TO INNOVATED SCALABLE EFFICIENT ESTIMATION IN ULTRA-LARGE GAUSSIAN GRAPHICAL MODELS By Yingying Fan and Jinchi Lv University of Southern Caifornia This Suppementary Materia

More information

Theory of Generalized k-difference Operator and Its Application in Number Theory

Theory of Generalized k-difference Operator and Its Application in Number Theory Internationa Journa of Mathematica Anaysis Vo. 9, 2015, no. 19, 955-964 HIKARI Ltd, www.m-hiari.com http://dx.doi.org/10.12988/ijma.2015.5389 Theory of Generaized -Difference Operator and Its Appication

More information

A UNIVERSAL METRIC FOR THE CANONICAL BUNDLE OF A HOLOMORPHIC FAMILY OF PROJECTIVE ALGEBRAIC MANIFOLDS

A UNIVERSAL METRIC FOR THE CANONICAL BUNDLE OF A HOLOMORPHIC FAMILY OF PROJECTIVE ALGEBRAIC MANIFOLDS A UNIERSAL METRIC FOR THE CANONICAL BUNDLE OF A HOLOMORPHIC FAMILY OF PROJECTIE ALGEBRAIC MANIFOLDS DROR AROLIN Dedicated to M Saah Baouendi on the occasion of his 60th birthday 1 Introduction In his ceebrated

More information

LECTURE NOTES 9 TRACELESS SYMMETRIC TENSOR APPROACH TO LEGENDRE POLYNOMIALS AND SPHERICAL HARMONICS

LECTURE NOTES 9 TRACELESS SYMMETRIC TENSOR APPROACH TO LEGENDRE POLYNOMIALS AND SPHERICAL HARMONICS MASSACHUSETTS INSTITUTE OF TECHNOLOGY Physics Department Physics 8.07: Eectromagnetism II October 7, 202 Prof. Aan Guth LECTURE NOTES 9 TRACELESS SYMMETRIC TENSOR APPROACH TO LEGENDRE POLYNOMIALS AND SPHERICAL

More information

Explicit overall risk minimization transductive bound

Explicit overall risk minimization transductive bound 1 Expicit overa risk minimization transductive bound Sergio Decherchi, Paoo Gastado, Sandro Ridea, Rodofo Zunino Dept. of Biophysica and Eectronic Engineering (DIBE), Genoa University Via Opera Pia 11a,

More information

PRIME TWISTS OF ELLIPTIC CURVES

PRIME TWISTS OF ELLIPTIC CURVES PRIME TWISTS OF ELLIPTIC CURVES DANIEL KRIZ AND CHAO LI Abstract. For certain eiptic curves E/Q with E(Q)[2] = Z/2Z, we prove a criterion for prime twists of E to have anaytic rank 0 or 1, based on a mod

More information

4 1-D Boundary Value Problems Heat Equation

4 1-D Boundary Value Problems Heat Equation 4 -D Boundary Vaue Probems Heat Equation The main purpose of this chapter is to study boundary vaue probems for the heat equation on a finite rod a x b. u t (x, t = ku xx (x, t, a < x < b, t > u(x, = ϕ(x

More information

Powers of Ideals: Primary Decompositions, Artin-Rees Lemma and Regularity

Powers of Ideals: Primary Decompositions, Artin-Rees Lemma and Regularity Powers of Ideas: Primary Decompositions, Artin-Rees Lemma and Reguarity Irena Swanson Department of Mathematica Sciences, New Mexico State University, Las Cruces, NM 88003-8001 (e-mai: iswanson@nmsu.edu)

More information

Analysis of Emerson s Multiple Model Interpolation Estimation Algorithms: The MIMO Case

Analysis of Emerson s Multiple Model Interpolation Estimation Algorithms: The MIMO Case Technica Report PC-04-00 Anaysis of Emerson s Mutipe Mode Interpoation Estimation Agorithms: The MIMO Case João P. Hespanha Dae E. Seborg University of Caifornia, Santa Barbara February 0, 004 Anaysis

More information

Formulas for Angular-Momentum Barrier Factors Version II

Formulas for Angular-Momentum Barrier Factors Version II BNL PREPRINT BNL-QGS-06-101 brfactor1.tex Formuas for Anguar-Momentum Barrier Factors Version II S. U. Chung Physics Department, Brookhaven Nationa Laboratory, Upton, NY 11973 March 19, 2015 abstract A

More information

Investigation on spectrum of the adjacency matrix and Laplacian matrix of graph G l

Investigation on spectrum of the adjacency matrix and Laplacian matrix of graph G l Investigation on spectrum of the adjacency matrix and Lapacian matrix of graph G SHUHUA YIN Computer Science and Information Technoogy Coege Zhejiang Wani University Ningbo 3500 PEOPLE S REPUBLIC OF CHINA

More information

Math-Net.Ru All Russian mathematical portal

Math-Net.Ru All Russian mathematical portal Math-Net.Ru A Russian mathematica porta D. Zaora, On properties of root eements in the probem on sma motions of viscous reaxing fuid, Zh. Mat. Fiz. Ana. Geom., 217, Voume 13, Number 4, 42 413 DOI: https://doi.org/1.1547/mag13.4.42

More information

Uniprocessor Feasibility of Sporadic Tasks with Constrained Deadlines is Strongly conp-complete

Uniprocessor Feasibility of Sporadic Tasks with Constrained Deadlines is Strongly conp-complete Uniprocessor Feasibiity of Sporadic Tasks with Constrained Deadines is Strongy conp-compete Pontus Ekberg and Wang Yi Uppsaa University, Sweden Emai: {pontus.ekberg yi}@it.uu.se Abstract Deciding the feasibiity

More information

Smoothness equivalence properties of univariate subdivision schemes and their projection analogues

Smoothness equivalence properties of univariate subdivision schemes and their projection analogues Numerische Mathematik manuscript No. (wi be inserted by the editor) Smoothness equivaence properties of univariate subdivision schemes and their projection anaogues Phiipp Grohs TU Graz Institute of Geometry

More information

Tracking Control of Multiple Mobile Robots

Tracking Control of Multiple Mobile Robots Proceedings of the 2001 IEEE Internationa Conference on Robotics & Automation Seou, Korea May 21-26, 2001 Tracking Contro of Mutipe Mobie Robots A Case Study of Inter-Robot Coision-Free Probem Jurachart

More information

Establishment of Weak Conditions for Darboux- Goursat-Beudon Theorem

Establishment of Weak Conditions for Darboux- Goursat-Beudon Theorem Georgia Southern University Digita Commons@Georgia Southern Mathematica Sciences Facuty Pubications Department of Mathematica Sciences 2009 Estabishment of Weak Conditions for Darboux- Goursat-Beudon Theorem

More information

arxiv:math/ v2 [math.ag] 12 Jul 2006

arxiv:math/ v2 [math.ag] 12 Jul 2006 GRASSMANNIANS AND REPRESENTATIONS arxiv:math/0507482v2 [math.ag] 12 Ju 2006 DAN EDIDIN AND CHRISTOPHER A. FRANCISCO Abstract. In this note we use Bott-Bore-Wei theory to compute cohomoogy of interesting

More information

Cryptanalysis of PKP: A New Approach

Cryptanalysis of PKP: A New Approach Cryptanaysis of PKP: A New Approach Éiane Jaumes and Antoine Joux DCSSI 18, rue du Dr. Zamenhoff F-92131 Issy-es-Mx Cedex France eiane.jaumes@wanadoo.fr Antoine.Joux@ens.fr Abstract. Quite recenty, in

More information

An Information Geometrical View of Stationary Subspace Analysis

An Information Geometrical View of Stationary Subspace Analysis An Information Geometrica View of Stationary Subspace Anaysis Motoaki Kawanabe, Wojciech Samek, Pau von Bünau, and Frank C. Meinecke Fraunhofer Institute FIRST, Kekuéstr. 7, 12489 Berin, Germany Berin

More information

Fitting affine and orthogonal transformations between two sets of points

Fitting affine and orthogonal transformations between two sets of points Mathematica Communications 9(2004), 27-34 27 Fitting affine and orthogona transformations between two sets of points Hemuth Späth Abstract. Let two point sets P and Q be given in R n. We determine a transation

More information

UNIFORM CONVERGENCE OF MULTIPLIER CONVERGENT SERIES

UNIFORM CONVERGENCE OF MULTIPLIER CONVERGENT SERIES royecciones Vo. 26, N o 1, pp. 27-35, May 2007. Universidad Catóica de Norte Antofagasta - Chie UNIFORM CONVERGENCE OF MULTILIER CONVERGENT SERIES CHARLES SWARTZ NEW MEXICO STATE UNIVERSITY Received :

More information

Some Measures for Asymmetry of Distributions

Some Measures for Asymmetry of Distributions Some Measures for Asymmetry of Distributions Georgi N. Boshnakov First version: 31 January 2006 Research Report No. 5, 2006, Probabiity and Statistics Group Schoo of Mathematics, The University of Manchester

More information

A natural differential calculus on Lie bialgebras with dual of triangular type

A natural differential calculus on Lie bialgebras with dual of triangular type Centrum voor Wiskunde en Informatica REPORTRAPPORT A natura differentia cacuus on Lie biagebras with dua of trianguar type N. van den Hijigenberg and R. Martini Department of Anaysis, Agebra and Geometry

More information

B. Brown, M. Griebel, F.Y. Kuo and I.H. Sloan

B. Brown, M. Griebel, F.Y. Kuo and I.H. Sloan Wegeerstraße 6 53115 Bonn Germany phone +49 8 73-347 fax +49 8 73-757 www.ins.uni-bonn.de B. Brown, M. Griebe, F.Y. Kuo and I.H. Soan On the expected uniform error of geometric Brownian motion approximated

More information

arxiv:gr-qc/ v1 12 Sep 1996

arxiv:gr-qc/ v1 12 Sep 1996 AN ALGEBRAIC INTERPRETATION OF THE WHEELER-DEWITT EQUATION arxiv:gr-qc/960900v Sep 996 John W. Barrett Louis Crane 6 March 008 Abstract. We make a direct connection between the construction of three dimensiona

More information

Reichenbachian Common Cause Systems

Reichenbachian Common Cause Systems Reichenbachian Common Cause Systems G. Hofer-Szabó Department of Phiosophy Technica University of Budapest e-mai: gszabo@hps.ete.hu Mikós Rédei Department of History and Phiosophy of Science Eötvös University,

More information

are left and right inverses of b, respectively, then: (b b 1 and b 1 = b 1 b 1 id T = b 1 b) b 1 so they are the same! r ) = (b 1 r = id S b 1 r = b 1

are left and right inverses of b, respectively, then: (b b 1 and b 1 = b 1 b 1 id T = b 1 b) b 1 so they are the same! r ) = (b 1 r = id S b 1 r = b 1 Lecture 1. The Category of Sets PCMI Summer 2015 Undergraduate Lectures on Fag Varieties Lecture 1. Some basic set theory, a moment of categorica zen, and some facts about the permutation groups on n etters.

More information

arxiv: v1 [math.co] 12 May 2013

arxiv: v1 [math.co] 12 May 2013 EMBEDDING CYCLES IN FINITE PLANES FELIX LAZEBNIK, KEITH E. MELLINGER, AND SCAR VEGA arxiv:1305.2646v1 [math.c] 12 May 2013 Abstract. We define and study embeddings of cyces in finite affine and projective

More information

Research Article On the Lower Bound for the Number of Real Roots of a Random Algebraic Equation

Research Article On the Lower Bound for the Number of Real Roots of a Random Algebraic Equation Appied Mathematics and Stochastic Anaysis Voume 007, Artice ID 74191, 8 pages doi:10.1155/007/74191 Research Artice On the Lower Bound for the Number of Rea Roots of a Random Agebraic Equation Takashi

More information

Binomial Transform and Dold Sequences

Binomial Transform and Dold Sequences 1 2 3 47 6 23 11 Journa of Integer Sequences, Vo. 18 (2015), Artice 15.1.1 Binomia Transform and Dod Sequences Kaudiusz Wójcik Department of Mathematics and Computer Science Jagieonian University Lojasiewicza

More information

NIKOS FRANTZIKINAKIS. N n N where (Φ N) N N is any Følner sequence

NIKOS FRANTZIKINAKIS. N n N where (Φ N) N N is any Følner sequence SOME OPE PROBLEMS O MULTIPLE ERGODIC AVERAGES IKOS FRATZIKIAKIS. Probems reated to poynomia sequences In this section we give a ist of probems reated to the study of mutipe ergodic averages invoving iterates

More information

On Some Basic Properties of Geometric Real Sequences

On Some Basic Properties of Geometric Real Sequences On Some Basic Properties of eometric Rea Sequences Khirod Boruah Research Schoar, Department of Mathematics, Rajiv andhi University Rono His, Doimukh-791112, Arunacha Pradesh, India Abstract Objective

More information

ADELIC ANALYSIS AND FUNCTIONAL ANALYSIS ON THE FINITE ADELE RING. Ilwoo Cho

ADELIC ANALYSIS AND FUNCTIONAL ANALYSIS ON THE FINITE ADELE RING. Ilwoo Cho Opuscua Math. 38, no. 2 208, 39 85 https://doi.org/0.7494/opmath.208.38.2.39 Opuscua Mathematica ADELIC ANALYSIS AND FUNCTIONAL ANALYSIS ON THE FINITE ADELE RING Iwoo Cho Communicated by.a. Cojuhari Abstract.

More information

NOISE-INDUCED STABILIZATION OF STOCHASTIC DIFFERENTIAL EQUATIONS

NOISE-INDUCED STABILIZATION OF STOCHASTIC DIFFERENTIAL EQUATIONS NOISE-INDUCED STABILIZATION OF STOCHASTIC DIFFERENTIAL EQUATIONS TONY ALLEN, EMILY GEBHARDT, AND ADAM KLUBALL 3 ADVISOR: DR. TIFFANY KOLBA 4 Abstract. The phenomenon of noise-induced stabiization occurs

More information

XSAT of linear CNF formulas

XSAT of linear CNF formulas XSAT of inear CN formuas Bernd R. Schuh Dr. Bernd Schuh, D-50968 Kön, Germany; bernd.schuh@netcoogne.de eywords: compexity, XSAT, exact inear formua, -reguarity, -uniformity, NPcompeteness Abstract. Open

More information

A SIMPLIFIED DESIGN OF MULTIDIMENSIONAL TRANSFER FUNCTION MODELS

A SIMPLIFIED DESIGN OF MULTIDIMENSIONAL TRANSFER FUNCTION MODELS A SIPLIFIED DESIGN OF ULTIDIENSIONAL TRANSFER FUNCTION ODELS Stefan Petrausch, Rudof Rabenstein utimedia Communications and Signa Procesg, University of Erangen-Nuremberg, Cauerstr. 7, 958 Erangen, GERANY

More information

Higher dimensional PDEs and multidimensional eigenvalue problems

Higher dimensional PDEs and multidimensional eigenvalue problems Higher dimensiona PEs and mutidimensiona eigenvaue probems 1 Probems with three independent variabes Consider the prototypica equations u t = u (iffusion) u tt = u (W ave) u zz = u (Lapace) where u = u

More information

A NOTE ON QUASI-STATIONARY DISTRIBUTIONS OF BIRTH-DEATH PROCESSES AND THE SIS LOGISTIC EPIDEMIC

A NOTE ON QUASI-STATIONARY DISTRIBUTIONS OF BIRTH-DEATH PROCESSES AND THE SIS LOGISTIC EPIDEMIC (January 8, 2003) A NOTE ON QUASI-STATIONARY DISTRIBUTIONS OF BIRTH-DEATH PROCESSES AND THE SIS LOGISTIC EPIDEMIC DAMIAN CLANCY, University of Liverpoo PHILIP K. POLLETT, University of Queensand Abstract

More information

Research Article Numerical Range of Two Operators in Semi-Inner Product Spaces

Research Article Numerical Range of Two Operators in Semi-Inner Product Spaces Abstract and Appied Anaysis Voume 01, Artice ID 846396, 13 pages doi:10.1155/01/846396 Research Artice Numerica Range of Two Operators in Semi-Inner Product Spaces N. K. Sahu, 1 C. Nahak, 1 and S. Nanda

More information

arxiv: v3 [math.ca] 8 Nov 2018

arxiv: v3 [math.ca] 8 Nov 2018 RESTRICTIONS OF HIGHER DERIVATIVES OF THE FOURIER TRANSFORM MICHAEL GOLDBERG AND DMITRIY STOLYAROV arxiv:1809.04159v3 [math.ca] 8 Nov 018 Abstract. We consider severa probems reated to the restriction

More information

Separation of Variables and a Spherical Shell with Surface Charge

Separation of Variables and a Spherical Shell with Surface Charge Separation of Variabes and a Spherica She with Surface Charge In cass we worked out the eectrostatic potentia due to a spherica she of radius R with a surface charge density σθ = σ cos θ. This cacuation

More information

Akaike Information Criterion for ANOVA Model with a Simple Order Restriction

Akaike Information Criterion for ANOVA Model with a Simple Order Restriction Akaike Information Criterion for ANOVA Mode with a Simpe Order Restriction Yu Inatsu * Department of Mathematics, Graduate Schoo of Science, Hiroshima University ABSTRACT In this paper, we consider Akaike

More information

Math 124B January 17, 2012

Math 124B January 17, 2012 Math 124B January 17, 212 Viktor Grigoryan 3 Fu Fourier series We saw in previous ectures how the Dirichet and Neumann boundary conditions ead to respectivey sine and cosine Fourier series of the initia

More information

Volume 13, MAIN ARTICLES

Volume 13, MAIN ARTICLES Voume 13, 2009 1 MAIN ARTICLES THE BASIC BVPs OF THE THEORY OF ELASTIC BINARY MIXTURES FOR A HALF-PLANE WITH CURVILINEAR CUTS Bitsadze L. I. Vekua Institute of Appied Mathematics of Iv. Javakhishvii Tbiisi

More information

A graph based approach to the convergence of some iterative methods for singular M-matrices and Markov chains

A graph based approach to the convergence of some iterative methods for singular M-matrices and Markov chains A graph based approach to the convergence of some iterative methods for singuar M-matrices and Markov chains Zur Erangung des akademischen Grades eines Doktors der Naturwissenschaften am Fachbereich Mathematik

More information

PRESENTING QUEER SCHUR SUPERALGEBRAS

PRESENTING QUEER SCHUR SUPERALGEBRAS PRESENTING QUEER SCHUR SUPERALGEBRAS JIE DU AND JINKUI WAN Abstract. Associated to the two types of finite dimensiona simpe superagebras, there are the genera inear Lie superagebra and the queer Lie superagebra.

More information

Approximated MLC shape matrix decomposition with interleaf collision constraint

Approximated MLC shape matrix decomposition with interleaf collision constraint Approximated MLC shape matrix decomposition with intereaf coision constraint Thomas Kainowski Antje Kiese Abstract Shape matrix decomposition is a subprobem in radiation therapy panning. A given fuence

More information

$, (2.1) n="# #. (2.2)

$, (2.1) n=# #. (2.2) Chapter. Eectrostatic II Notes: Most of the materia presented in this chapter is taken from Jackson, Chap.,, and 4, and Di Bartoo, Chap... Mathematica Considerations.. The Fourier series and the Fourier

More information

Convergence of the spectral measure of non normal matrices

Convergence of the spectral measure of non normal matrices Convergence of the spectra measure of non norma matrices Aice Guionnet Phiip Wood Ofer Zeitouni October, 2 Abstract We discuss reguarization by noise of the spectrum of arge random non- Norma matrices.

More information

CHAPTER 2 AN INTRODUCTION TO WAVELET ANALYSIS

CHAPTER 2 AN INTRODUCTION TO WAVELET ANALYSIS CHAPTER 2 AN INTRODUCTION TO WAVELET ANALYSIS [This chapter is based on the ectures of Professor D.V. Pai, Department of Mathematics, Indian Institute of Technoogy Bombay, Powai, Mumbai - 400 076, India.]

More information

On the Goal Value of a Boolean Function

On the Goal Value of a Boolean Function On the Goa Vaue of a Booean Function Eric Bach Dept. of CS University of Wisconsin 1210 W. Dayton St. Madison, WI 53706 Lisa Heerstein Dept of CSE NYU Schoo of Engineering 2 Metrotech Center, 10th Foor

More information

THE PARTITION FUNCTION AND HECKE OPERATORS

THE PARTITION FUNCTION AND HECKE OPERATORS THE PARTITION FUNCTION AND HECKE OPERATORS KEN ONO Abstract. The theory of congruences for the partition function p(n depends heaviy on the properties of haf-integra weight Hecke operators. The subject

More information

Indirect Optimal Control of Dynamical Systems

Indirect Optimal Control of Dynamical Systems Computationa Mathematics and Mathematica Physics, Vo. 44, No. 3, 24, pp. 48 439. Transated from Zhurna Vychisite noi Matematiki i Matematicheskoi Fiziki, Vo. 44, No. 3, 24, pp. 444 466. Origina Russian

More information

Physics 235 Chapter 8. Chapter 8 Central-Force Motion

Physics 235 Chapter 8. Chapter 8 Central-Force Motion Physics 35 Chapter 8 Chapter 8 Centra-Force Motion In this Chapter we wi use the theory we have discussed in Chapter 6 and 7 and appy it to very important probems in physics, in which we study the motion

More information

The Symmetric and Antipersymmetric Solutions of the Matrix Equation A 1 X 1 B 1 + A 2 X 2 B A l X l B l = C and Its Optimal Approximation

The Symmetric and Antipersymmetric Solutions of the Matrix Equation A 1 X 1 B 1 + A 2 X 2 B A l X l B l = C and Its Optimal Approximation The Symmetric Antipersymmetric Soutions of the Matrix Equation A 1 X 1 B 1 + A 2 X 2 B 2 + + A X B C Its Optima Approximation Ying Zhang Member IAENG Abstract A matrix A (a ij) R n n is said to be symmetric

More information

A MATRIX OF LINEAR FORMS WHICH IS ANNIHILATED BY A VECTOR OF INDETERMINATES

A MATRIX OF LINEAR FORMS WHICH IS ANNIHILATED BY A VECTOR OF INDETERMINATES A MATRIX OF LINEAR FORMS WHICH IS ANNIHILATED BY A VECTOR OF INDETERMINATES ANDREW R KUSTIN, CLAUDIA POLINI, AND BERND ULRICH ABSTRACT Let R = k[t 1,,T f ] be a standard graded poynomia ring over the fied

More information