SEMI STABILITY FACTORS AND SEMI FACTORS. Daniel Hershkowitz and Hans Schneider

Size: px
Start display at page:

Download "SEMI STABILITY FACTORS AND SEMI FACTORS. Daniel Hershkowitz and Hans Schneider"

Transcription

1 Cntemprary Mathematics Vlume 47, 1985 SEMI STABILITY FACTORS AND SEMI FACTORS * Daniel Hershkwitz and Hans Schneider ABSTRACT. A (semistability) factr [semifactr] f a matrix AE r: nn is a psitive definite [psitive semidefinite] matrix H such that AH + HA* is psitive semidefinite. We give three prfs t shw that if A has a semistability factr then it cannt be unique. We give necessary and sufficient cnditins fr a matrix H t be a (semi)factr f a given matrix. We als determine the dimensin f the cne f semistability factrs. 1. INTRODUCTION. A (square) cmplex matrix A is said t be (psitive) stable [semistable] if all its eigenvalues lie in the pen [clsed] right halfplane. The matrix A is said t be near stable if A is semis table but nt stable. A very well knwn characterizatin f stable matrices is essentially due t Lyapunv [8], see als [5, vl. II, p. 189], [9], [10], [4] and the references there. THEOREM 1.1 (Lyapunv-Gantmacher): A cmplex matrix A is stable if and nly if there exists a psitive definite (hermitian) matrix H such that ( 1.2) AH + HA* > O. We have here written H > 0 t dente a psitive definite (hermitian) matrix. We als write H > 0 t dente a psitive semidefinite matrix. Fr near stable matrices the situatin is mre cmplicated, as shwn by the fllwing result [4, Crllary III.1]. THEOREM 1.3. Let A be a cmplex matrix. Then there exists a psitive definite matrix H such that ( 1.4) AH + HA* > O. if and nly if A is semis table and ( 1.5) the elementary divisrs f all pure imaginary eigenvalues f A are linear. * Research f this authr was supprted in part by NSF grant DMS American Mathematical SOciety /85 $ $.25 per page

2 204 HERSHKOWITZ & SCHNEIDER We shall call the matrix H in (1.2) r (1.4) a semistability factr f the matrix A. An interesting special case ccurs when a semistability factr may be chsen t be diagnal. In this case we call the matrix Lyapunv diagnally stable [semistable] if there exists a psitive definite diagnal H satisfying (1.2) [(1.4)], and the crrespnding diagnal H is called a Lyapunv scaling factr f A, e.g. [6] and [7]. At the Bwdin meeting n "Linear algebra and its rle in systems thery" (July 1984) ne f us discussed necessary cnditins and sufficient cnditins fr the uniqueness (up t psitive scalar multiplicatin) f a Lyapunv scaling factr f a given Lyapunv diagnally semistable matrix (see [6]). At the end f the talk Dale Olesky raised the questin whether there are cases where a semistability factr f a given semis table matrix f rder greater than is unique. In this paper we shw that the answer t that questin is negative and we give three different prfs. Our third prf is a cnsequence f results that g cnsiderably beynd the questin f uniqueness f stability factrs. If A r: nn we call a matrix H a (semistability) semi factr f A if H > 0 and (1.4) hlds. In Sectin 4 we determine necessary and sufficient cnditins fr H t be a semifactr. We give ur principal results in tw frms. The first (Therem 4.7) is fr a matrix A in blck diagnal frm. The secnd (Therem 4.12) is an invariant frm which hlds fr all A r; nn. We shw that ur therem generalizes a part f Therem III f [4] which characterizes the ranks f semifactrs f A. In Sectin 5 we define the (semistability) factr cne S(A) and the semi factr cne Se(A) f A E r;nn. We shw that SO(A) is the clsure f the set f semifactrs f A f maximal rank (Lemma 5.2) and we deduce a necessary and sufficient cnditin n A fr SO (A) t be the clsure f S (A) (Crllary 5.9). We als give a frmula fr the dimensin f S O(A) (Therem 5.10) and as a crllary (Crllary 5.11) we btain ur third prf f the nnuniqueness f semistability factrs. Our paper is related in spirit t the papers by Carlsn [3] and Avraham-Lewy [1], thugh there is little verlap in results. Thse papers discuss the general prblem f the relatin f ranks and inertias f A C nn and the hermitian matrices Hand K = AH + HA*, in [3] under the assumptin that K > 0 and in [1] under the assumptin that H > O. 2. STATEMENT OF THE THEOREM AND PROOF NO.1. THEOREM 2.1. Let A be a cmplex matrix f rder greater than 1. Then either A has n semistability factr r A has at least tw linearly inde-

3 SEMI STABILITY FACTORS AND SEMIFACTORS 205 pendent semistability factrs. PROOF. Suppse that A has at least ne semistability factr. Then, by Therem 1.3, A is semistable. Suppse that A is stable. By Therem 1.1, A has a semistability factr H such that (1.2) holds. Let K be any psitive definite matrix such that Hand K are linearly independent. Since the psitive definite matrices frm an pen set in the tplgical space f hermitian matrices, it fllws that fr sufficiently small psitive E, Hand H + EK are linearly independent semistability factrs f A. Nw suppse that A is near stable. Then A has a pure imaginary eigenvalue A = ia. Let x be an eigenvectr f A assciated with the eigenvalue A. S, (2.2) Ax = iax and by multiplying bth sides f (2.2) by x * we btain (2.3) Axx * iaxx*, which is equivalent t (2.4) -iaxx*. It fllws frm (2.3) and (2.4) that (2.5) D. Let H be a psitive definite matrix such that (1.4) hlds. Observe that H' = H + xx* is als a psitive definite matrix and, further, by (2.5) and (1.4), H' is a semistability factr f A. Since H is nnsingular and since xx * is a matrix f rank it fllws that xx * is nt a scalar multiple f H, and therefre H' is nt a scalar multiple f H. Hence, H and H' are tw linearly independent semistability factrs f A. [] 3 PROOF NO.2. We begin with a simple lemma. LEMMA 3.1. Let B,H I! n,n such that H is a psitive definite matrix. If BHB* = D then B = D. PROOF. Given that BHB* D, it fllws that (3.2) (B*X)*H(B*X) D, 'iixej[;n.

4 206 HERSHKOWITZ & SCHNEIDER Since H is psitive definite it follws frm (3.2) that B*x = 0, VXElC n, which implies B* and B = O. LEMMA 3.3. Let B be a semis table matrix, let H > 0 and let a be any real number. Then H is a semistability factr f B if and nly if H is a semistability factr f B + iai. ~. Observe that BH + HB* = (B + iai)h + H(B + iai)*. Prpsitin 3.4. Let B be a singular semis table matrix. Then B des nt have a unique semistability factr. ~. If B then the claim is clear. S we may assume that (3.5) B '* O. Assume that B has a unique semistability factr H. Thus (3.6) C BH + HB* > O. Clearly, (3.7) BCB* > O. Since H is psitive definite, s.is H" = H + BHB*, and by adding (3.6) and (3.7) we btain that H" is a semistabili ty factr f B. Our uniqueness assumptin yields that H" is a scalar multiple f H, and hence BHB* is a scalar multiple f H. Since H is nnsingular and B is singular it fllws that BHB* = O. By Lemma 3.1, B = 0, which is a cntradictin t (3.5). Hence, the uniqueness assumptin is false. PROOF NO.2. As in the first prf we may assume that A is a near stable matrix. As such, A has a pure imaginary eigenvalue. S, A + iai is singular fr sme real number a. Our therem nw fllws frm Prpsitin 3.4 and Lemma SEMIFACTORS. LEMMA 4.1. Let A E IC nn be such that the spectrum f A cnsists f a single pure imaginary eigenvalue A, and let H > O. Then H is a semista-

5 SEMI STABILITY FACTORS AND SEMIFACTORS 207 bility factr f A if and nly if (4.2) (A - U)H = O. PROOF. If (4.2) hlds then AH = AH and (1.4) fllws. Cnversely, suppse that (1.4) hlds. Let U be a unitary matrix such that A' = U*AU is upper triangular. Let H' be the psitive definite matrix U*HU. Dente by B the matrix A' - AI. Observe that BH' + H'B* > O. Clearly, the last rw f BH' is zer. Assume that BH' * 0 and let K be the index f the last nnzer rw f BH'. Partitin B by B where B11 is k x k, and partitin H' and BH' cnfrmably. Since [BH')22 = 0 and [BH')21 that [BH')12 = O. Hence it fllws frm the fact that BH' + H'B* > 0 (4.3) O. Since (4.4) it fllws frm (4.3) that (4.5) It is a well knwn prperty f psitive semidefinite matrices, e.g. [7), that (4.5) implies (4.6) O. Therefre, by (4.4) and (4.6), we have ROW k [BH')'1 = (ROW k B 11 )H;1 + (ROW k B 12 )H;1 = O. Since [BH')12 = 0 it fllws that Rwk(BH') = 0, which is a cntradictin. Hence, BH' = 0 and s (A - U)H O.

6 208 HERSHKOWITZ & SCHNEIDER THEOREM 4.7. Let where A q+2 q. A :c nn.;::j i i=1 0, i 1,,q and ~ i, j ~ q. where Aq+1 and -Aq+2 are stable. Let H > 0 be partitined cnfrmably. Then H is a semifactr f A if and nly if (4.8) where (4.9) H q+2 B Hii i=1 0, i 1,,q, (4.10) and (4.11) * A H + H A > 0, q+1 q+1,q+1 q+1,q+1 q+1 - Hq +2,q+2 =. PROOF. If H satisfies (4.8) - (4.11) then clearly AH + HA 2- O. Cnversely, let AR + HA* 2-0 fr sme H 2-. By Lemma 4.1, cnditin (4.9) hlds. Cnditin (4.10) is bvius and by Lemma 1 f [2], we btain (4.11). T cmplete the prf we must shw that Hij = 0, i '* j, i,j = 1,,q + 2. If i = q + 2 then Hij = 0 and Hji j = 1,,q + 1, since Hii = 0 and H 2- O. Let i '* j, Withut lss f generality we may assume that 1 < i ~ q. By (4.9), 0, 1 < i, j~q + 1 Since AH + HA* > 0 it fllws that * (AR + HA ).. 1).

7 SEMI STABILITY FACTORS AND SEMIFACTORS 209 Hence, by [5, Vl. I, p. 220], 11 spec(aj). Hij since Ai + ~ * 0, whenever Let A r: nn and let a be a cmplex number. We define the eig:ensl2ace Ea(A) as the nullspace f (A - ai) and we define the 2eneralized eig:ensl2ace Ga(A) as the nullspace f (A - ai)n. Observe that Ea(Al {O} and * Ga(A) {O} if and nly if a is an eigenvalue f A. We dente by G+(A) * the vectr space sum ~ a spec(a) Re a>o G (A). a The fllwing therem is an invariant frmulatin f the results f Therem 4.7. THEOREM Let A r: nn and let H > O. Then H is a semi factr f A if and nly if (4.13) H L Ha + H+, a spec(a) Re a>o where (4.14) (4.15) and (4.16) PROOF. First suppse tha t A satisfies the hyptheses f Therem 4.7. Suppse that AH + HA* > O. Then, by Therem 4.7, H satisfies (4.8) - (4.11). Let q+2 (4.17) HA e ijhjj i i=l i 1, q, where ij is the Krnecker delta, and let q+2 (4.18) H e 0 q+1, jhjj + j=l

8 210 HERSHKOWITZ & SCHNEIDER Then H has the frm (4.13). Observe that (4.14) fllws frm (4.9) and (4.17), and that (4.15) and (4.16) fllw frm (4.10) and (4.18) since G+(A) is spanned by the clumns f q+2 e j=1 I q+1,j Cnversely, assume that (4.13) - (4.16) hld. In view f the frm f A it fllws that there exist Hii, i = 1, q + 1 satisfying (4.8) - (4.11). Hence, by Therem 4.7, AH + HA* ~ O. Nw suppse that A is a general matrix in 1: nne Then there exists a nnsingular matrix T such that A' = TAT-1 satisfies the hyptheses f Therem 4.7. Let H' THT*. Then clearly AH + HA* > 0 if and nly if (4.19) A'H' + H' (A')* ~ O. By the discussin abve, (4.19) holds if and nly if H' satisfies where H' = I exe special Re ex=o H' + H' ex + (4.21 ) (4.22) and Since fr any matrix B and since (4.20) - (4.23) are equivalent respectively t (4.13) - (4.16) whenever and

9 SEMI STABILITY FACTORS AND SEMIFACTORS 211 Remark. Observe that (4.14) is equivalent t AHa = aha. COROLLARY Let A E lc nn and let H ~ O. If AH + HA* 2. 0 then PROOF. By Therem 4.12, H satisfies (4.13) - (4.16). Hence 0, a E spec(a), Re a 0, and it fllws that (4.25) AH + HA* Since it fllws frm (4.15) and (4.25) that The fllwing crllaries are derived either frm Therem 4.7 r Therem COROLLARY Let AE~,n. Then -A is semis table if and nly if H > 0 and AH + HA* > 0 imply that AH + HA* = O. PROOF. If -A is semistable then G+(A) = {O} and ur claim fllws frm Crllary Cnversely, if -A is nt semis table then let a E spec(a) such that Re a > O. Let x be an eigenvectr f A assciated with a. Observe that the psitive semidefinite matrix H = xx* satisfies AH + HA* = 2 Re(a)xx* which is a nnzer psitive semidefinite matrix. COROLLARY Let B E r: nne Then B has n pure imaginary eigenvalue if and nly if K > 0 and BK + KB* imply that K = O. PROOF. There exists a nnsingular T such that A = TBT- 1 satisfies the hyptheses f Therem 4.7. It is enugh t prve that A has n pure imaginary eigenvalue if and nly if H > 0 and AH + HA* = 0 imply that

10 212 HERSHKOWITZ & SCHNEIDER H =. If A has an imaginary eigenva1ue and x is a crrespnding eigenvectr, then xx* '" 0 and A(xx*) + (xx*)a * =. Cnverse1y, suppse that has n pure imaginary eigenva1ue and that H > 0 satisfies AH + HA* =. Then A = 1'.1 e 1'.2' where the spectrum f 1'.1 and f -1'.2 are in the pen right ha1fp1ane. By Therem 4.7, H Hl1 0 H22, where H22 = 0 and A1Hll + Hll 1'.1 * =. But, since a + F '" 0 fr every a,fl spec(al), it f11ws frm [5, V1. I, p. 220] that Hll =. Hence H =. 0 A As a direct cnsequence f (4.13) - Therem III f [4]. (4.15) we btain the first part f COROLLARY Let A :c nne If H > 0 and AH + HA* > 0 then (4.29) rank H < peal + 1f(A), where peal is the number f e1ementary divisrs f the pure imaginary rts f A and 1f(A) is the number f eigenvalues f A (cunting mu1tiplicities) which lie in the pen right halfplane. The fllwing immediate cr1lary strengthens Cr11ary f [4], (ur Therem 1.~ by characterizing semistability factrs. COROLLARY Let A!C nn and 1et H > O. Then H is a semistabi- 1ity factr f A if and nly if A is semis table, (1.5) holds and H satisfies (4.13), (4.16) and Range Ha Range H+ 5. FACTOR CONES AND SEMI FACTOR CONES. Let H be the vectr space ver the rea1 fie1d cnsisting f cmplex n x n hermitian matrices. As in [2, p. 2] a cne C in H is a nnempty subset H f which is clsed under additin as we11 as nnnegative sca1ar mu1tiplicatin. By span C we dente the subspace spanned by C and we wri te dim C fr the dimensin f span C The (semistability) ~ ~ SeAl is defined by seal = {O} U {H > 0 : AH + HA* ~ O} and the (semistability) semifactr cne S (A) is given by SO (A) = {H ~ 0 AH + HA * > O}.

11 SEMI STABILITY FACTORS AND SEMIFACTORS 213 We bserve that the clsure f SIAl (in the usual Euclidean tplgy), dented by cl SIAl, satisfies (5.1) cl SIAl I: SOIA). The reverse inclusin des nt necessarily hld as demnstrated by By Therem 1.3 we have SIAl {O}, while the psitive semidefinite matrix, satisfies AH + HA* > O. Hwever, let rank H k}, and let Observe that by Therem III f [4] the set ~ (A) if 0 ~ k~ rae Then we have: is nnempty if and nly LEMMA 5.2. Let k be a nnnegative integer. Then -%(A) = cl f"(a) if and nly if k = rae PROOF. Clearly S (A) is a clsed set. Hence, fr all k, cl T~A) ~ SO(A). If k < ria) then, since the limit f rank k matrices has rank less than r equal t k, and since SOIA) cntains a matrix f rank ra, it fllws that SOIA) * cl ~(A).

12 214 HERSHKOWITZ & SCHNEIDER If k = r(a) then let H SO(A) and chse K ~ (A). Then K has a psitive definite principal submatrix f rder ra' It fllws that the crrespnding submatrix f H + sk is nnsingular fr all s > O. Hence ( 5.3 ) rank(h + sk) ~ ra' By the definitin f RA' equality holds in (5.3). Thus H cl ~ (A). 0 LEMMA 5.4. Let k be a nnnegative integer. Then (5.5) SO(A) = cl( {O} U T~(A» if and nly if either S O(A) = {O} r k = ra' PROOF. TttA) "*, If T~ (A) = ~ then (5.5) hld if and nly if S (A) = {O}. If then cl({o} UT~(A» = cl ~ (A) and by Lemma 5.2, (5.5) hlds if and nly if k = ra' PROPOSITION 5.6. Let A be a cmplex n x n matrix. Then (5.7) S O(A) cl S (A) if and nly if either -A is stable r A is semistable and the elementary divisrs f all pure imaginary eigenvalues f A are linear. PROOF. By Therem III f [4], (5.8) ra = n(a) + p(a), (where n(a) and p(a) are defined in Crllary 4.28). Since S(A) = {O} U T~ (A) it fllws frm Lemma 5.4 that (5.7) hlds if and nly if either SO(A) = {O} r ra = n. By (5.8), SO(A) = {O} if and nly if -A is stable, and, by Therem 1.3, ra = n if and nly if A is semis table and (1.5) holds. COROLLARY 5.9. Let A be a cmplex matrix. If S(A) "* {O} then cl S(A) = SO(A). PROOF. If S(A) "* {O} then ra = n and since S(A) claim fllws frm Lemma 5.4. THEOREM Let A r: nn. Then dim SO(A) = 21 [n(a)(n(a) + 1) + L " ae spec(a) Re a=o

13 SEMISTABILITY FACTORS AND SEMIFACTORS 215 where ea(a) is the dimensin f the eigenspace Ea(A). ~. Withut lss f generality we may assume that A is in its Jrdan cannical frm and satisfies the hyptheses f Therem 4.7. By Therem 4.7, SOIA) cnsists f all psitive semidefinite matrices H fr which (4.8) - (4.11) hld. Let 1 ~ i ~ q. By (4.9), Hii is any psitive semidefinite matrix all f whse entries are 0, except pssibly thse which lie in the intersectins f first rws and first clumns f Jrdan blcks which crrespnd t the eigenvalue Ai' The number f such rws (clumns) is eai(a). Hence the number f such linear independent Hii is (eai(a)(eai(a) + 1) /2. We must still shw that the number f linearly independent psitive semidefinite matrices H q +l,q+l which satisfy (4.10) is n(a)(n(a) + 1)/2. By Therem 1.1 there exists a psitive definite matrix H q +l,q+l such that A H + H A * > O. q+l q+l,q+l q+l,q+l q+l Hence by cntinuity arguments, there exists an pen set f such matrices which satisfy (4.10). As is well knwn, the span f these matrices (ver the real field) is the whle set f hermitian matrices f rder n(a). fllws. Our therem nw COROLLARY (and prf N.3). Let A e C nn, n > 1, be such that SIAl * {Ole Then dim SIAl = dim SOIA) > 1. ~. Since SIAl * {O} it follws that ra = n and als, by Crllary 5.9, cl SIAl = SOIA). Hence, as is well knwn, dim SIAl = dim SOIA). hlds: By (5.8) ne f the fllwing three pssibilities (i) n(a) ~ 2. ( ii) n(a) and pia) ~ 1. (iii) n(a) and pia) ~ 2. In each case dim SOIA) > by Therem We remark that using essentially the same arguments we can shw that there exist at least tw linearly independent semifactrs f A prvided that ra > 1. f rank ra

14 216 HERSHKOWITZ & SCHNEIDER BIBLIOGRAPHY 1. AH + HA* S. Avraham and R. Lewy, On the inertia f the Lyapunv transfrm fr H > 0, Lin. Mult. Alg. 6(1978), A. Berman and R. J. Plemmns, "Nnnegative matrices in the mathematical sciences", Academic Press, N.Y D. Carlsn, Rank and inertia bunds fr matrices under R(AH) ~ 0, J. Math. Anal. Appl. 10(1965), D. Carlsn and H. Schneider, Inertia therems fr matrices: the semidefinite case, J. Math. Anal. Appl. 6(1963), F. R. Gantmacher, "The Thery f Matrices", Vls. I,ll. Chelsea, New Yrk, D. Hershkwitz and H. Schneider, Scalings f vectr spaces and the uniqueness f Lyapunv scaling factrs, Lin. Mult. Alg. (t appear). 7. D. Hershkwitz and H. Schneider, Lyapunv diagnal semistability f real H-matrices, Lin. Alg. Appl. (t appear). 8. A. Lyapunv, Prbleme General de la stabilite du muvement, Cmmun. Sc. Math. Kharkv (1892, 1893); Annals f Mathematical Studies, Vl. 17, Princetn Univ. Press, Princetn, N.J., A. Ostrwski and H. Schneider, Sme therems n the inertia f general matrices, J. Math. Anal. Appl. 4(1962), O. Taussky, A generalizatin f a therem by Lyapunv, J. Sc. Ind. Appl. Math. 9(1961), DEPARTMENT OF MATHEMATICS UNIVERSITY OF WISCONSIN MADISON, WI 53706

Homology groups of disks with holes

Homology groups of disks with holes Hmlgy grups f disks with hles THEOREM. Let p 1,, p k } be a sequence f distinct pints in the interir unit disk D n where n 2, and suppse that fr all j the sets E j Int D n are clsed, pairwise disjint subdisks.

More information

A new Type of Fuzzy Functions in Fuzzy Topological Spaces

A new Type of Fuzzy Functions in Fuzzy Topological Spaces IOSR Jurnal f Mathematics (IOSR-JM e-issn: 78-578, p-issn: 39-765X Vlume, Issue 5 Ver I (Sep - Oct06, PP 8-4 wwwisrjurnalsrg A new Type f Fuzzy Functins in Fuzzy Tplgical Spaces Assist Prf Dr Munir Abdul

More information

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs

Admissibility Conditions and Asymptotic Behavior of Strongly Regular Graphs Admissibility Cnditins and Asympttic Behavir f Strngly Regular Graphs VASCO MOÇO MANO Department f Mathematics University f Prt Oprt PORTUGAL vascmcman@gmailcm LUÍS ANTÓNIO DE ALMEIDA VIEIRA Department

More information

Chapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms

Chapter Summary. Mathematical Induction Strong Induction Recursive Definitions Structural Induction Recursive Algorithms Chapter 5 1 Chapter Summary Mathematical Inductin Strng Inductin Recursive Definitins Structural Inductin Recursive Algrithms Sectin 5.1 3 Sectin Summary Mathematical Inductin Examples f Prf by Mathematical

More information

A Simple Set of Test Matrices for Eigenvalue Programs*

A Simple Set of Test Matrices for Eigenvalue Programs* Simple Set f Test Matrices fr Eigenvalue Prgrams* By C. W. Gear** bstract. Sets f simple matrices f rder N are given, tgether with all f their eigenvalues and right eigenvectrs, and simple rules fr generating

More information

Revisiting the Socrates Example

Revisiting the Socrates Example Sectin 1.6 Sectin Summary Valid Arguments Inference Rules fr Prpsitinal Lgic Using Rules f Inference t Build Arguments Rules f Inference fr Quantified Statements Building Arguments fr Quantified Statements

More information

Lyapunov Stability Stability of Equilibrium Points

Lyapunov Stability Stability of Equilibrium Points Lyapunv Stability Stability f Equilibrium Pints 1. Stability f Equilibrium Pints - Definitins In this sectin we cnsider n-th rder nnlinear time varying cntinuus time (C) systems f the frm x = f ( t, x),

More information

On Topological Structures and. Fuzzy Sets

On Topological Structures and. Fuzzy Sets L - ZHR UNIVERSIT - GZ DENSHIP OF GRDUTE STUDIES & SCIENTIFIC RESERCH On Tplgical Structures and Fuzzy Sets y Nashaat hmed Saleem Raab Supervised by Dr. Mhammed Jamal Iqelan Thesis Submitted in Partial

More information

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 4. Function spaces

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 4. Function spaces SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 4 Fall 2008 IV. Functin spaces IV.1 : General prperties (Munkres, 45 47) Additinal exercises 1. Suppse that X and Y are metric spaces such that X is cmpact.

More information

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 4. Function spaces

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 205A Part 4. Function spaces SOLUTIONS TO EXERCISES FOR MATHEMATICS 205A Part 4 Fall 2014 IV. Functin spaces IV.1 : General prperties Additinal exercises 1. The mapping q is 1 1 because q(f) = q(g) implies that fr all x we have f(x)

More information

NOTE ON APPELL POLYNOMIALS

NOTE ON APPELL POLYNOMIALS NOTE ON APPELL POLYNOMIALS I. M. SHEFFER An interesting characterizatin f Appell plynmials by means f a Stieltjes integral has recently been given by Thrne. 1 We prpse t give a secnd such representatin,

More information

Equilibrium of Stress

Equilibrium of Stress Equilibrium f Stress Cnsider tw perpendicular planes passing thrugh a pint p. The stress cmpnents acting n these planes are as shwn in ig. 3.4.1a. These stresses are usuall shwn tgether acting n a small

More information

SEMILATTICE STRUCTURES ON DENDRITIC SPACES

SEMILATTICE STRUCTURES ON DENDRITIC SPACES Vlume 2, 1977 Pages 243 260 http://tplgy.auburn.edu/tp/ SEMILATTICE STRUCTURES ON DENDRITIC SPACES by T. B. Muenzenberger and R. E. Smithsn Tplgy Prceedings Web: http://tplgy.auburn.edu/tp/ Mail: Tplgy

More information

FINITE BOOLEAN ALGEBRA. 1. Deconstructing Boolean algebras with atoms. Let B = <B,,,,,0,1> be a Boolean algebra and c B.

FINITE BOOLEAN ALGEBRA. 1. Deconstructing Boolean algebras with atoms. Let B = <B,,,,,0,1> be a Boolean algebra and c B. FINITE BOOLEAN ALGEBRA 1. Decnstructing Blean algebras with atms. Let B = be a Blean algebra and c B. The ideal generated by c, (c], is: (c] = {b B: b c} The filter generated by c, [c), is:

More information

NOTE ON THE ANALYSIS OF A RANDOMIZED BLOCK DESIGN. Junjiro Ogawa University of North Carolina

NOTE ON THE ANALYSIS OF A RANDOMIZED BLOCK DESIGN. Junjiro Ogawa University of North Carolina NOTE ON THE ANALYSIS OF A RANDOMIZED BLOCK DESIGN by Junjir Ogawa University f Nrth Carlina This research was supprted by the Office f Naval Research under Cntract N. Nnr-855(06) fr research in prbability

More information

A proposition is a statement that can be either true (T) or false (F), (but not both).

A proposition is a statement that can be either true (T) or false (F), (but not both). 400 lecture nte #1 [Ch 2, 3] Lgic and Prfs 1.1 Prpsitins (Prpsitinal Lgic) A prpsitin is a statement that can be either true (T) r false (F), (but nt bth). "The earth is flat." -- F "March has 31 days."

More information

! } Extensions of Jordan Bases for Invariant Subspaces of a Matrix

! } Extensions of Jordan Bases for Invariant Subspaces of a Matrix 1 ( i \! } Extensins f Jrdan Bases fr Invariant Subspaces f a Matrix Rafael Bru* Departament Matematica Aplicada Univ. Plitecnica de Valencia 46071 Valencia, Spain Leiba Rdman t Department f Mathematics

More information

Building to Transformations on Coordinate Axis Grade 5: Geometry Graph points on the coordinate plane to solve real-world and mathematical problems.

Building to Transformations on Coordinate Axis Grade 5: Geometry Graph points on the coordinate plane to solve real-world and mathematical problems. Building t Transfrmatins n Crdinate Axis Grade 5: Gemetry Graph pints n the crdinate plane t slve real-wrld and mathematical prblems. 5.G.1. Use a pair f perpendicular number lines, called axes, t define

More information

V. Balakrishnan and S. Boyd. (To Appear in Systems and Control Letters, 1992) Abstract

V. Balakrishnan and S. Boyd. (To Appear in Systems and Control Letters, 1992) Abstract On Cmputing the WrstCase Peak Gain f Linear Systems V Balakrishnan and S Byd (T Appear in Systems and Cntrl Letters, 99) Abstract Based n the bunds due t Dyle and Byd, we present simple upper and lwer

More information

AN INTERMITTENTLY USED SYSTEM WITH PREVENTIVE MAINTENANCE

AN INTERMITTENTLY USED SYSTEM WITH PREVENTIVE MAINTENANCE J. Operatins Research Sc. f Japan V!. 15, N. 2, June 1972. 1972 The Operatins Research Sciety f Japan AN INTERMITTENTLY USED SYSTEM WITH PREVENTIVE MAINTENANCE SHUNJI OSAKI University f Suthern Califrnia

More information

Module 4: General Formulation of Electric Circuit Theory

Module 4: General Formulation of Electric Circuit Theory Mdule 4: General Frmulatin f Electric Circuit Thery 4. General Frmulatin f Electric Circuit Thery All electrmagnetic phenmena are described at a fundamental level by Maxwell's equatins and the assciated

More information

A Matrix Representation of Panel Data

A Matrix Representation of Panel Data web Extensin 6 Appendix 6.A A Matrix Representatin f Panel Data Panel data mdels cme in tw brad varieties, distinct intercept DGPs and errr cmpnent DGPs. his appendix presents matrix algebra representatins

More information

REPRESENTATIONS OF sp(2n; C ) SVATOPLUK KR YSL. Abstract. In this paper we have shown how a tensor product of an innite dimensional

REPRESENTATIONS OF sp(2n; C ) SVATOPLUK KR YSL. Abstract. In this paper we have shown how a tensor product of an innite dimensional ON A DISTINGUISHED CLASS OF INFINITE DIMENSIONAL REPRESENTATIONS OF sp(2n; C ) SVATOPLUK KR YSL Abstract. In this paper we have shwn hw a tensr prduct f an innite dimensinal representatin within a certain

More information

An Introduction to Complex Numbers - A Complex Solution to a Simple Problem ( If i didn t exist, it would be necessary invent me.

An Introduction to Complex Numbers - A Complex Solution to a Simple Problem ( If i didn t exist, it would be necessary invent me. An Intrductin t Cmple Numbers - A Cmple Slutin t a Simple Prblem ( If i didn t eist, it wuld be necessary invent me. ) Our Prblem. The rules fr multiplying real numbers tell us that the prduct f tw negative

More information

A finite steps algorithm for solving convex feasibility problems

A finite steps algorithm for solving convex feasibility problems J Glb Optim (2007) 38:143 160 DOI 10.1007/s10898-006-9088-y ORIGINAL ARTICLE A finite steps algrithm fr slving cnvex feasibility prblems M. Ait Rami U. Helmke J. B. Mre Received: 18 February 2006 / Accepted:

More information

CHAPTER 2 Algebraic Expressions and Fundamental Operations

CHAPTER 2 Algebraic Expressions and Fundamental Operations CHAPTER Algebraic Expressins and Fundamental Operatins OBJECTIVES: 1. Algebraic Expressins. Terms. Degree. Gruping 5. Additin 6. Subtractin 7. Multiplicatin 8. Divisin Algebraic Expressin An algebraic

More information

The Equation αsin x+ βcos family of Heron Cyclic Quadrilaterals

The Equation αsin x+ βcos family of Heron Cyclic Quadrilaterals The Equatin sin x+ βcs x= γ and a family f Hern Cyclic Quadrilaterals Knstantine Zelatr Department Of Mathematics Cllege Of Arts And Sciences Mail Stp 94 University Of Tled Tled,OH 43606-3390 U.S.A. Intrductin

More information

IN a recent article, Geary [1972] discussed the merit of taking first differences

IN a recent article, Geary [1972] discussed the merit of taking first differences The Efficiency f Taking First Differences in Regressin Analysis: A Nte J. A. TILLMAN IN a recent article, Geary [1972] discussed the merit f taking first differences t deal with the prblems that trends

More information

A crash course in Galois theory

A crash course in Galois theory A crash curse in Galis thery First versin 0.1 14. september 2013 klkken 14:50 In these ntes K dentes a field. Embeddings Assume that is a field and that : K! and embedding. If K L is an extensin, we say

More information

Abstract. x )-elationj and. Australasian Journal of Combinatorics 3(1991) pp

Abstract. x )-elationj and. Australasian Journal of Combinatorics 3(1991) pp Abstract x )-elatinj and f this paper frm part f a PhD thesis submitted the authr t the "",,,,,,.,.,,,,,t,, f Lndn. The authr the supprt f the Cmmnwealth :::;c.hjlarsrup Cmmissin. Australasian Jurnal f

More information

On small defining sets for some SBIBD(4t - 1, 2t - 1, t - 1)

On small defining sets for some SBIBD(4t - 1, 2t - 1, t - 1) University f Wllngng Research Online Faculty f Infrmatics - Papers (Archive) Faculty f Engineering and Infrmatin Sciences 992 On small defining sets fr sme SBIBD(4t -, 2t -, t - ) Jennifer Seberry University

More information

THE FINITENESS OF THE MAPPING CLASS GROUP FOR ATOROIDAL 3-MANIFOLDS WITH GENUINE LAMINATIONS

THE FINITENESS OF THE MAPPING CLASS GROUP FOR ATOROIDAL 3-MANIFOLDS WITH GENUINE LAMINATIONS j. differential gemetry 50 (1998) 123-127 THE FINITENESS OF THE MAPPING CLASS GROUP FOR ATOROIDAL 3-MANIFOLDS WITH GENUINE LAMINATIONS DAVID GABAI & WILLIAM H. KAZEZ Essential laminatins were intrduced

More information

Chapter 2 GAUSS LAW Recommended Problems:

Chapter 2 GAUSS LAW Recommended Problems: Chapter GAUSS LAW Recmmended Prblems: 1,4,5,6,7,9,11,13,15,18,19,1,7,9,31,35,37,39,41,43,45,47,49,51,55,57,61,6,69. LCTRIC FLUX lectric flux is a measure f the number f electric filed lines penetrating

More information

COVERS OF DEHN FILLINGS ON ONCE-PUNCTURED TORUS BUNDLES

COVERS OF DEHN FILLINGS ON ONCE-PUNCTURED TORUS BUNDLES prceedings f the american mathematical sciety Vlume 105, Number 3, March 1989 COVERS OF DEHN FILLINGS ON ONCE-PUNCTURED TORUS BUNDLES MARK D. BAKER (Cmmunicated by Frederick R. Chen) Abstract. Let M be

More information

45 K. M. Dyaknv Garsia nrm kfk G = sup zd jfj d z ;jf(z)j = dened riginally fr f L (T m), is in fact an equivalent nrm n BMO. We shall als be cncerned

45 K. M. Dyaknv Garsia nrm kfk G = sup zd jfj d z ;jf(z)j = dened riginally fr f L (T m), is in fact an equivalent nrm n BMO. We shall als be cncerned Revista Matematica Iberamericana Vl. 5, N. 3, 999 Abslute values f BMOA functins Knstantin M. Dyaknv Abstract. The paper cntains a cmplete characterizatin f the mduli f BMOA functins. These are described

More information

THE QUADRATIC AND QUARTIC CHARACTER OF CERTAIN QUADRATIC UNITS I PHILIP A. LEONARD AND KENNETH S. WILLIAMS

THE QUADRATIC AND QUARTIC CHARACTER OF CERTAIN QUADRATIC UNITS I PHILIP A. LEONARD AND KENNETH S. WILLIAMS PACFC JOURNAL OF MATHEMATCS Vl. 7, N., 977 THE QUADRATC AND QUARTC CHARACTER OF CERTAN QUADRATC UNTS PHLP A. LEONARD AND KENNETH S. WLLAMS Let ε m dente the fundamental unit f the real quadratic field

More information

MAKING DOUGHNUTS OF COHEN REALS

MAKING DOUGHNUTS OF COHEN REALS MAKING DUGHNUTS F CHEN REALS Lrenz Halbeisen Department f Pure Mathematics Queen s University Belfast Belfast BT7 1NN, Nrthern Ireland Email: halbeis@qub.ac.uk Abstract Fr a b ω with b \ a infinite, the

More information

initially lcated away frm the data set never win the cmpetitin, resulting in a nnptimal nal cdebk, [2] [3] [4] and [5]. Khnen's Self Organizing Featur

initially lcated away frm the data set never win the cmpetitin, resulting in a nnptimal nal cdebk, [2] [3] [4] and [5]. Khnen's Self Organizing Featur Cdewrd Distributin fr Frequency Sensitive Cmpetitive Learning with One Dimensinal Input Data Aristides S. Galanpuls and Stanley C. Ahalt Department f Electrical Engineering The Ohi State University Abstract

More information

Section 6-2: Simplex Method: Maximization with Problem Constraints of the Form ~

Section 6-2: Simplex Method: Maximization with Problem Constraints of the Form ~ Sectin 6-2: Simplex Methd: Maximizatin with Prblem Cnstraints f the Frm ~ Nte: This methd was develped by Gerge B. Dantzig in 1947 while n assignment t the U.S. Department f the Air Frce. Definitin: Standard

More information

B. Definition of an exponential

B. Definition of an exponential Expnents and Lgarithms Chapter IV - Expnents and Lgarithms A. Intrductin Starting with additin and defining the ntatins fr subtractin, multiplicatin and divisin, we discvered negative numbers and fractins.

More information

Chapter 3 Kinematics in Two Dimensions; Vectors

Chapter 3 Kinematics in Two Dimensions; Vectors Chapter 3 Kinematics in Tw Dimensins; Vectrs Vectrs and Scalars Additin f Vectrs Graphical Methds (One and Tw- Dimensin) Multiplicatin f a Vectr b a Scalar Subtractin f Vectrs Graphical Methds Adding Vectrs

More information

Pattern Recognition 2014 Support Vector Machines

Pattern Recognition 2014 Support Vector Machines Pattern Recgnitin 2014 Supprt Vectr Machines Ad Feelders Universiteit Utrecht Ad Feelders ( Universiteit Utrecht ) Pattern Recgnitin 1 / 55 Overview 1 Separable Case 2 Kernel Functins 3 Allwing Errrs (Sft

More information

Support-Vector Machines

Support-Vector Machines Supprt-Vectr Machines Intrductin Supprt vectr machine is a linear machine with sme very nice prperties. Haykin chapter 6. See Alpaydin chapter 13 fr similar cntent. Nte: Part f this lecture drew material

More information

Kinematic transformation of mechanical behavior Neville Hogan

Kinematic transformation of mechanical behavior Neville Hogan inematic transfrmatin f mechanical behavir Neville Hgan Generalized crdinates are fundamental If we assume that a linkage may accurately be described as a cllectin f linked rigid bdies, their generalized

More information

Finite Automata. Human-aware Robo.cs. 2017/08/22 Chapter 1.1 in Sipser

Finite Automata. Human-aware Robo.cs. 2017/08/22 Chapter 1.1 in Sipser Finite Autmata 2017/08/22 Chapter 1.1 in Sipser 1 Last time Thery f cmputatin Autmata Thery Cmputability Thery Cmplexity Thery Finite autmata Pushdwn autmata Turing machines 2 Outline fr tday Finite autmata

More information

Math 302 Learning Objectives

Math 302 Learning Objectives Multivariable Calculus (Part I) 13.1 Vectrs in Three-Dimensinal Space Math 302 Learning Objectives Plt pints in three-dimensinal space. Find the distance between tw pints in three-dimensinal space. Write

More information

Perturbation approach applied to the asymptotic study of random operators.

Perturbation approach applied to the asymptotic study of random operators. Perturbatin apprach applied t the asympttic study f rm peratrs. André MAS, udvic MENNETEAU y Abstract We prve that, fr the main mdes f stchastic cnvergence (law f large numbers, CT, deviatins principles,

More information

(2) Even if such a value of k was possible, the neutrons multiply

(2) Even if such a value of k was possible, the neutrons multiply CHANGE OF REACTOR Nuclear Thery - Curse 227 POWER WTH REACTVTY CHANGE n this lessn, we will cnsider hw neutrn density, neutrn flux and reactr pwer change when the multiplicatin factr, k, r the reactivity,

More information

THE DEVELOPMENT OF AND GAPS IN THE THEORY OF PRODUCTS OF INITIALLY M-COMPACT SPACES

THE DEVELOPMENT OF AND GAPS IN THE THEORY OF PRODUCTS OF INITIALLY M-COMPACT SPACES Vlume 6, 1981 Pages 99 113 http://tplgy.auburn.edu/tp/ THE DEVELOPMENT OF AND GAPS IN THE THEORY OF PRODUCTS OF INITIALLY M-COMPACT SPACES by R. M. Stephensn, Jr. Tplgy Prceedings Web: http://tplgy.auburn.edu/tp/

More information

Hypothesis Tests for One Population Mean

Hypothesis Tests for One Population Mean Hypthesis Tests fr One Ppulatin Mean Chapter 9 Ala Abdelbaki Objective Objective: T estimate the value f ne ppulatin mean Inferential statistics using statistics in rder t estimate parameters We will be

More information

E Z, (n l. and, if in addition, for each integer n E Z there is a unique factorization of the form

E Z, (n l. and, if in addition, for each integer n E Z there is a unique factorization of the form Revista Clmbiana de Matematias Vlumen II,1968,pags.6-11 A NOTE ON GENERALIZED MOBIUS f-functions V.S. by ALBIS In [1] the ncept f a cnjugate pair f sets f psi tive integers is int~dued Briefly, if Z dentes

More information

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax

Revision: August 19, E Main Suite D Pullman, WA (509) Voice and Fax .7.4: Direct frequency dmain circuit analysis Revisin: August 9, 00 5 E Main Suite D Pullman, WA 9963 (509) 334 6306 ice and Fax Overview n chapter.7., we determined the steadystate respnse f electrical

More information

Computational modeling techniques

Computational modeling techniques Cmputatinal mdeling techniques Lecture 4: Mdel checing fr ODE mdels In Petre Department f IT, Åb Aademi http://www.users.ab.fi/ipetre/cmpmd/ Cntent Stichimetric matrix Calculating the mass cnservatin relatins

More information

An Introduction to Matrix Algebra

An Introduction to Matrix Algebra Mdern Cntrl Systems, Eleventh Editin, by Richard C Drf and Rbert H. Bish. ISBN: 785. 8 Pearsn Educatin, Inc., Uer Saddle River, NJ. All rights reserved. APPENDIX E An Intrductin t Matrix Algebra E. DEFINITIONS

More information

A solution of certain Diophantine problems

A solution of certain Diophantine problems A slutin f certain Diphantine prblems Authr L. Euler* E7 Nvi Cmmentarii academiae scientiarum Petrplitanae 0, 1776, pp. 8-58 Opera Omnia: Series 1, Vlume 3, pp. 05-17 Reprinted in Cmmentat. arithm. 1,

More information

ENGI 4430 Parametric Vector Functions Page 2-01

ENGI 4430 Parametric Vector Functions Page 2-01 ENGI 4430 Parametric Vectr Functins Page -01. Parametric Vectr Functins (cntinued) Any nn-zer vectr r can be decmpsed int its magnitude r and its directin: r rrˆ, where r r 0 Tangent Vectr: dx dy dz dr

More information

The blessing of dimensionality for kernel methods

The blessing of dimensionality for kernel methods fr kernel methds Building classifiers in high dimensinal space Pierre Dupnt Pierre.Dupnt@ucluvain.be Classifiers define decisin surfaces in sme feature space where the data is either initially represented

More information

f t(y)dy f h(x)g(xy) dx fk 4 a. «..

f t(y)dy f h(x)g(xy) dx fk 4 a. «.. CERTAIN OPERATORS AND FOURIER TRANSFORMS ON L2 RICHARD R. GOLDBERG 1. Intrductin. A well knwn therem f Titchmarsh [2] states that if fel2(0, ) and if g is the Furier csine transfrm f/, then G(x)=x~1Jx0g(y)dy

More information

The Electromagnetic Form of the Dirac Electron Theory

The Electromagnetic Form of the Dirac Electron Theory 0 The Electrmagnetic Frm f the Dirac Electrn Thery Aleander G. Kyriaks Saint-Petersburg State Institute f Technlgy, St. Petersburg, Russia* In the present paper it is shwn that the Dirac electrn thery

More information

1996 Engineering Systems Design and Analysis Conference, Montpellier, France, July 1-4, 1996, Vol. 7, pp

1996 Engineering Systems Design and Analysis Conference, Montpellier, France, July 1-4, 1996, Vol. 7, pp THE POWER AND LIMIT OF NEURAL NETWORKS T. Y. Lin Department f Mathematics and Cmputer Science San Jse State University San Jse, Califrnia 959-003 tylin@cs.ssu.edu and Bereley Initiative in Sft Cmputing*

More information

MATHEMATICS SYLLABUS SECONDARY 5th YEAR

MATHEMATICS SYLLABUS SECONDARY 5th YEAR Eurpean Schls Office f the Secretary-General Pedaggical Develpment Unit Ref. : 011-01-D-8-en- Orig. : EN MATHEMATICS SYLLABUS SECONDARY 5th YEAR 6 perid/week curse APPROVED BY THE JOINT TEACHING COMMITTEE

More information

, which yields. where z1. and z2

, which yields. where z1. and z2 The Gaussian r Nrmal PDF, Page 1 The Gaussian r Nrmal Prbability Density Functin Authr: Jhn M Cimbala, Penn State University Latest revisin: 11 September 13 The Gaussian r Nrmal Prbability Density Functin

More information

Physical Layer: Outline

Physical Layer: Outline 18-: Intrductin t Telecmmunicatin Netwrks Lectures : Physical Layer Peter Steenkiste Spring 01 www.cs.cmu.edu/~prs/nets-ece Physical Layer: Outline Digital Representatin f Infrmatin Characterizatin f Cmmunicatin

More information

Lead/Lag Compensator Frequency Domain Properties and Design Methods

Lead/Lag Compensator Frequency Domain Properties and Design Methods Lectures 6 and 7 Lead/Lag Cmpensatr Frequency Dmain Prperties and Design Methds Definitin Cnsider the cmpensatr (ie cntrller Fr, it is called a lag cmpensatr s K Fr s, it is called a lead cmpensatr Ntatin

More information

A PLETHORA OF MULTI-PULSED SOLUTIONS FOR A BOUSSINESQ SYSTEM. Department of Mathematics, Penn State University University Park, PA16802, USA.

A PLETHORA OF MULTI-PULSED SOLUTIONS FOR A BOUSSINESQ SYSTEM. Department of Mathematics, Penn State University University Park, PA16802, USA. A PLETHORA OF MULTI-PULSED SOLUTIONS FOR A BOUSSINESQ SYSTEM MIN CHEN Department f Mathematics, Penn State University University Park, PA68, USA. Abstract. This paper studies traveling-wave slutins f the

More information

Introduction: A Generalized approach for computing the trajectories associated with the Newtonian N Body Problem

Introduction: A Generalized approach for computing the trajectories associated with the Newtonian N Body Problem A Generalized apprach fr cmputing the trajectries assciated with the Newtnian N Bdy Prblem AbuBar Mehmd, Syed Umer Abbas Shah and Ghulam Shabbir Faculty f Engineering Sciences, GIK Institute f Engineering

More information

Interference is when two (or more) sets of waves meet and combine to produce a new pattern.

Interference is when two (or more) sets of waves meet and combine to produce a new pattern. Interference Interference is when tw (r mre) sets f waves meet and cmbine t prduce a new pattern. This pattern can vary depending n the riginal wave directin, wavelength, amplitude, etc. The tw mst extreme

More information

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India CHAPTER 3 INEQUALITIES Cpyright -The Institute f Chartered Accuntants f India INEQUALITIES LEARNING OBJECTIVES One f the widely used decisin making prblems, nwadays, is t decide n the ptimal mix f scarce

More information

Dead-beat controller design

Dead-beat controller design J. Hetthéssy, A. Barta, R. Bars: Dead beat cntrller design Nvember, 4 Dead-beat cntrller design In sampled data cntrl systems the cntrller is realised by an intelligent device, typically by a PLC (Prgrammable

More information

ON THE ABSOLUTE CONVERGENCE OF A SERIES ASSOCIATED WITH A FOURIER SERIES. R. MOHANTY and s. mohapatra

ON THE ABSOLUTE CONVERGENCE OF A SERIES ASSOCIATED WITH A FOURIER SERIES. R. MOHANTY and s. mohapatra ON THE ABSOLUTE CONVERGENCE OF A SERIES ASSOCIATED WITH A FOURIER SERIES R. MOHANTY and s. mhapatra 1. Suppse/(i) is integrable L in ( ir, it) peridic with perid 2ir, and that its Furier series at / =

More information

Distributions, spatial statistics and a Bayesian perspective

Distributions, spatial statistics and a Bayesian perspective Distributins, spatial statistics and a Bayesian perspective Dug Nychka Natinal Center fr Atmspheric Research Distributins and densities Cnditinal distributins and Bayes Thm Bivariate nrmal Spatial statistics

More information

ENSC Discrete Time Systems. Project Outline. Semester

ENSC Discrete Time Systems. Project Outline. Semester ENSC 49 - iscrete Time Systems Prject Outline Semester 006-1. Objectives The gal f the prject is t design a channel fading simulatr. Upn successful cmpletin f the prject, yu will reinfrce yur understanding

More information

SOME CONSTRUCTIONS OF OPTIMAL BINARY LINEAR UNEQUAL ERROR PROTECTION CODES

SOME CONSTRUCTIONS OF OPTIMAL BINARY LINEAR UNEQUAL ERROR PROTECTION CODES Philips J. Res. 39, 293-304,1984 R 1097 SOME CONSTRUCTIONS OF OPTIMAL BINARY LINEAR UNEQUAL ERROR PROTECTION CODES by W. J. VAN OILS Philips Research Labratries, 5600 JA Eindhven, The Netherlands Abstract

More information

A NOTE ON THE EQUIVAImCE OF SOME TEST CRITERIA. v. P. Bhapkar. University of Horth Carolina. and

A NOTE ON THE EQUIVAImCE OF SOME TEST CRITERIA. v. P. Bhapkar. University of Horth Carolina. and ~ A NOTE ON THE EQUVAmCE OF SOME TEST CRTERA by v. P. Bhapkar University f Hrth Carlina University f Pna nstitute f Statistics Mime Series N. 421 February 1965 This research was supprted by the Mathematics

More information

GRAPH EFFECTIVE RESISTANCE AND DISTRIBUTED CONTROL: SPECTRAL PROPERTIES AND APPLICATIONS

GRAPH EFFECTIVE RESISTANCE AND DISTRIBUTED CONTROL: SPECTRAL PROPERTIES AND APPLICATIONS GRAPH EFFECTIVE RESISTANCE AND DISTRIBUTED CONTROL: SPECTRAL PROPERTIES AND APPLICATIONS Prabir Barah Jã P. Hespanha Abstract We intrduce the cncept f matrix-valued effective resistance fr undirected matrix-weighted

More information

Here is instructions on how to use the simulation program.(the first simulation is used in question 5)

Here is instructions on how to use the simulation program.(the first simulation is used in question 5) Larmr Precessin Tutrial Here is instructins n hw t use the simulatin prgram.(the first simulatin is used in questin 5). Duble click the file sp_spins. On the tp f the new windw, click File Open Internal

More information

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets

Department of Economics, University of California, Davis Ecn 200C Micro Theory Professor Giacomo Bonanno. Insurance Markets Department f Ecnmics, University f alifrnia, Davis Ecn 200 Micr Thery Prfessr Giacm Bnann Insurance Markets nsider an individual wh has an initial wealth f. ith sme prbability p he faces a lss f x (0

More information

3.4 Shrinkage Methods Prostate Cancer Data Example (Continued) Ridge Regression

3.4 Shrinkage Methods Prostate Cancer Data Example (Continued) Ridge Regression 3.3.4 Prstate Cancer Data Example (Cntinued) 3.4 Shrinkage Methds 61 Table 3.3 shws the cefficients frm a number f different selectin and shrinkage methds. They are best-subset selectin using an all-subsets

More information

- 6 - UNIQUENESS OF A ZARA GRAPH ON 126 POINTS AND NON-EXISTENCE OF A COMPLETELY REGULAR TWO-GRAPH ON. A. Blokhuis and A.E.

- 6 - UNIQUENESS OF A ZARA GRAPH ON 126 POINTS AND NON-EXISTENCE OF A COMPLETELY REGULAR TWO-GRAPH ON. A. Blokhuis and A.E. - 6 - UNIQUENESS OF A ZARA GRAPH ON 126 POINTS AND NON-EXISTENCE OF A COMPLETELY REGULAR TWO-GRAPH ON 288 POINTS by A. Blkhuis and A.E. Bruwer VecUc.a.:ted :t J.J. SeA-de.. n :the ec L6-tn 015 11M ftet.ulemen:t.

More information

Zeros of Sections of the Zeta Function. I

Zeros of Sections of the Zeta Function. I Zers f Sectins f the Zeta Functin. I By Rbert Spira 1. Intrductin. The sectins f the title are the Dirichlet plynmials: (1) U(s) = n"5 n = l We write s = a -f- it, and take M ^ 3. Turan [1], [2] shwed

More information

Kansas City Area Teachers of Mathematics 2011 KCATM Math Competition GEOMETRY GRADES 7-8

Kansas City Area Teachers of Mathematics 2011 KCATM Math Competition GEOMETRY GRADES 7-8 Kansas City Area Teachers f Mathematics 2011 KCATM Math Cmpetitin GEOMETRY GRADES 7-8 INSTRUCTIONS D nt pen this bklet until instructed t d s. Time limit: 20 minutes Yu may use calculatrs. Mark yur answer

More information

Separability. Version september 2013 klokken 10:28. Separability MAT4250 Høst 2013

Separability. Version september 2013 klokken 10:28. Separability MAT4250 Høst 2013 Separability Versin 1.1 24. september 2013 klkken 10:28 Multiple rts and separable plynmials Let as usual K be a field, and let a plynmial f 2 K[t] f degree m is given. It is cnvenient and we lse nthing

More information

5 th grade Common Core Standards

5 th grade Common Core Standards 5 th grade Cmmn Cre Standards In Grade 5, instructinal time shuld fcus n three critical areas: (1) develping fluency with additin and subtractin f fractins, and develping understanding f the multiplicatin

More information

COMP 551 Applied Machine Learning Lecture 11: Support Vector Machines

COMP 551 Applied Machine Learning Lecture 11: Support Vector Machines COMP 551 Applied Machine Learning Lecture 11: Supprt Vectr Machines Instructr: (jpineau@cs.mcgill.ca) Class web page: www.cs.mcgill.ca/~jpineau/cmp551 Unless therwise nted, all material psted fr this curse

More information

A New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation

A New Evaluation Measure. J. Joiner and L. Werner. The problems of evaluation and the needed criteria of evaluation III-l III. A New Evaluatin Measure J. Jiner and L. Werner Abstract The prblems f evaluatin and the needed criteria f evaluatin measures in the SMART system f infrmatin retrieval are reviewed and discussed.

More information

Surface and Contact Stress

Surface and Contact Stress Surface and Cntact Stress The cncept f the frce is fundamental t mechanics and many imprtant prblems can be cast in terms f frces nly, fr example the prblems cnsidered in Chapter. Hwever, mre sphisticated

More information

GAUSS' LAW E. A. surface

GAUSS' LAW E. A. surface Prf. Dr. I. M. A. Nasser GAUSS' LAW 08.11.017 GAUSS' LAW Intrductin: The electric field f a given charge distributin can in principle be calculated using Culmb's law. The examples discussed in electric

More information

NUMBERS, MATHEMATICS AND EQUATIONS

NUMBERS, MATHEMATICS AND EQUATIONS AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t

More information

READING STATECHART DIAGRAMS

READING STATECHART DIAGRAMS READING STATECHART DIAGRAMS Figure 4.48 A Statechart diagram with events The diagram in Figure 4.48 shws all states that the bject plane can be in during the curse f its life. Furthermre, it shws the pssible

More information

3.6 Condition number and RGA

3.6 Condition number and RGA g r qp q q q qp! the weight " #%$ s that mre emphasis is placed n utput &. We d this y increasing the andwidth requirement in utput channel & y a factr f (!( : *,+.-0/!1 &3254769:4;$=< >@?BAC D 6 E(F

More information

(Communicated at the meeting of September 25, 1948.) Izl=6 Izl=6 Izl=6 ~=I. max log lv'i (z)1 = log M;.

(Communicated at the meeting of September 25, 1948.) Izl=6 Izl=6 Izl=6 ~=I. max log lv'i (z)1 = log M;. Mathematics. - On a prblem in the thery f unifrm distributin. By P. ERDÖS and P. TURÁN. 11. Ommunicated by Prf. J. G. VAN DER CORPUT.) Cmmunicated at the meeting f September 5, 1948.) 9. Af ter this first

More information

7 TH GRADE MATH STANDARDS

7 TH GRADE MATH STANDARDS ALGEBRA STANDARDS Gal 1: Students will use the language f algebra t explre, describe, represent, and analyze number expressins and relatins 7 TH GRADE MATH STANDARDS 7.M.1.1: (Cmprehensin) Select, use,

More information

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b

MODULE 1. e x + c. [You can t separate a demominator, but you can divide a single denominator into each numerator term] a + b a(a + b)+1 = a + b . REVIEW OF SOME BASIC ALGEBRA MODULE () Slving Equatins Yu shuld be able t slve fr x: a + b = c a d + e x + c and get x = e(ba +) b(c a) d(ba +) c Cmmn mistakes and strategies:. a b + c a b + a c, but

More information

Lecture 6: Phase Space and Damped Oscillations

Lecture 6: Phase Space and Damped Oscillations Lecture 6: Phase Space and Damped Oscillatins Oscillatins in Multiple Dimensins The preius discussin was fine fr scillatin in a single dimensin In general, thugh, we want t deal with the situatin where:

More information

This section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving.

This section is primarily focused on tools to aid us in finding roots/zeros/ -intercepts of polynomials. Essentially, our focus turns to solving. Sectin 3.2: Many f yu WILL need t watch the crrespnding vides fr this sectin n MyOpenMath! This sectin is primarily fcused n tls t aid us in finding rts/zers/ -intercepts f plynmials. Essentially, ur fcus

More information

DEDICATED TO THE MEMORY OF R.J. WEINSHENK 1. INTRODUCTION

DEDICATED TO THE MEMORY OF R.J. WEINSHENK 1. INTRODUCTION CONVOLUTION TRIANGLES FOR GENERALIZED FIBONACCI NUMBERS VERNER E. HOGGATT, JR. San Jse State Cllege, San Jse, Califrnia DEDICATED TO THE MEMORY OF R.J. WEINSHENK. INTRODUCTION The sequence f integers Fj

More information

Cambridge Assessment International Education Cambridge Ordinary Level. Published

Cambridge Assessment International Education Cambridge Ordinary Level. Published Cambridge Assessment Internatinal Educatin Cambridge Ordinary Level ADDITIONAL MATHEMATICS 4037/1 Paper 1 Octber/Nvember 017 MARK SCHEME Maximum Mark: 80 Published This mark scheme is published as an aid

More information

Slide04 (supplemental) Haykin Chapter 4 (both 2nd and 3rd ed): Multi-Layer Perceptrons

Slide04 (supplemental) Haykin Chapter 4 (both 2nd and 3rd ed): Multi-Layer Perceptrons Slide04 supplemental) Haykin Chapter 4 bth 2nd and 3rd ed): Multi-Layer Perceptrns CPSC 636-600 Instructr: Ynsuck Che Heuristic fr Making Backprp Perfrm Better 1. Sequential vs. batch update: fr large

More information

Curriculum Development Overview Unit Planning for 8 th Grade Mathematics MA10-GR.8-S.1-GLE.1 MA10-GR.8-S.4-GLE.2

Curriculum Development Overview Unit Planning for 8 th Grade Mathematics MA10-GR.8-S.1-GLE.1 MA10-GR.8-S.4-GLE.2 Unit Title It s All Greek t Me Length f Unit 5 weeks Fcusing Lens(es) Cnnectins Standards and Grade Level Expectatins Addressed in this Unit MA10-GR.8-S.1-GLE.1 MA10-GR.8-S.4-GLE.2 Inquiry Questins (Engaging-

More information