q-bernstein polynomials and Bézier curves

Size: px
Start display at page:

Download "q-bernstein polynomials and Bézier curves"

Transcription

1 Jounal of Computatonal and Appled Mathematcs 151 (2003) 1-12 q-bensten polynomals and Béze cuves Hall Ouç a, and Geoge M. Phllps b a Depatment of Mathematcs, Dokuz Eylül Unvesty Fen Edebyat Fakültes, Tınaztepe Kampüsü Buca İzm, Tukey E-mal: hall.ouc@deu.edu.t b Mathematcal Insttute, Unvesty of St Andews Noth Haugh, St Andews, Ffe KY16 9SS, Scotland E-mal: gmp@st-and.ac.uk Receved 1 Decembe 2001; eceved n evsed fom 22 July 2002 Abstact We defne q-bensten polynomals, whch genealze the classcal Bensten polynomals, and show that the dffeence of two consecutve q-bensten polynomals of a functon f can be expessed n tems of second ode dvded dffeences of f. It s also shown that the appoxmaton to a convex functon by ts q-bensten polynomals s one sded. A paametc cuve s epesented usng a genealzed Bensten bass and the concept of total postvty s appled to nvestgate the shape popetes of the cuve. We study the natue of degee elevaton and degee educton fo ths bass and show that degee elevaton s vaaton dmnshng, as fo the classcal Bensten bass. Key Wods: Genealzed Bensten polynomal; shape pesevng; total postvty; degee elevaton AMS Subect Classfccaton: Pmay 65D17, seconday 41A10 1. Intoducton When epesentng a paametc cuve o suface t s mpotant whch bass s used f we wsh to peseve the shape of the cuve o suface. Fo these easons the Bensten-Béze cuve and suface epesentaton play a sgnfcant ole n CAGD. See, fo example, [5, 11. In ths pape we genealze some of the vey well known Béze cuve technques by usng a genealzaton of the Bensten bass, called the q-bensten bass. The Béze cuve s eteved when we set the paamete q to the value 1. Ths pape s oganzed as follows. Fst we defne a one-paamete famly of genealzed Bensten polynomals (called q-bensten polynomals) fom whch we ecove the classcal Bensten polynomals when Coespondng autho

2 2 Jounal of Computatonal and Appled Mathematcs 151 (2003) 1-12 we set q = 1. We pove that the appoxmaton to a convex functon by ts q-bensten polynomals s one sded. Then we show that the dffeence of two consecutve q-bensten polynomals has a epesentaton nvolvng second ode dvded dffeences. We descbe some of the shape pesevng popetes whch the genealzed Bensten polynomals shae wth the classcal countepats. The connecton between the powe bass, the Bensten bass and the q-bensten bass s evealed by devng the tansfomaton matces. We then constuct paametc cuves usng the q-bensten bass and dscuss shape popetes usng the concept of total postvty. Fnally, we pesent a degee elevaton algothm fo q-bensten paametc cuves and show that ths pocess s vaaton dmnshng, as n the classcal case. The q-bensten polynomals wee defned as follows by the second autho [15: 1 n B n (f; x) = f x (1 q s x), (1.1) =0 whee an empty poduct denotes 1, the paamete q s a postve eal numbe and f = f([/[n). Hee [ denotes a q ntege, defned by [ = s=0 { (1 q )/(1 q), q 1,, q = 1. The q-bnomal coeffcent [ n, whch s also called a Gaussan polynomal, s defned as [ n [n [n 1 [n + 1 = [ [ 1 [1 fo n 1, and has the value 1 when = 0 and the value zeo othewse. Note that ths educes to the usual bnomal coeffcent when we set q = 1. It satsfes the ecuence elatons [ [ [ n n 1 n 1 = q n + (1.2) 1 and [ n = and t can easly be vefed by nducton on n that (1 x)(1 qx) (1 q n 1 x) = [ [ n 1 n 1 + q, (1.3) 1 ( 1) q ( 1)/2 =0 x. (1.4) The q-bnomal coeffcent can be ntepeted combnatoally as the geneatng functon fo countng estcted pattons. We may wte [ (n ) n = p(n,, )q, =0

3 H. Ouç, G.M. Phllps / q-bensten polynomals and Béze cuves 3 whee p(n,, ) s the numbe of pattons of wth at most pats each not exceedng n. It s also elated (see [1) to the poblem of countng the numbe of subspaces ove a fnte feld. We note that B n, defned by (1.1), s a monotone lnea opeato fo any 0 < q 1 and B n epoduces lnea functons, that s B n (ax + b; x) = ax + b, a, b R. It also satsfes the end pont ntepolaton condtons B n (f; 0) = f(0) and B n (f; 1) = f(1). It s shown n [14 that (1.1) may be evaluated by the followng de Castelau type algothm: Gven: f [0 0, f [0 1,..., f n [0 fo m = 1 to n do fo = 0 to n m do f [m := (q q m 1 x)f [m 1 etun etun + xf [m 1 +1 Note that wth q = 1 we ecove the ognal de Castelau algothm. Wth q = 1 and any pont b R 2, R 3, ths algothm has a nce geometc ntepetaton whch s called subdvson, see [5. The effect of ntoducng the paamete q nto the de Castelau algothm can be seen n Fgue 1 n whch sufaces ae made by evolvng the cuves about an appopate vetcal axs. Fgue 1: Seven contol ponts and change of q, q = 0.8, q = 1. The genealzed Bensten polynomal B n (f; x) defned by (1.1) shaes the well known shape pesevng popetes of the classcal Bensten polynomal. Thus when the functon f s convex then (see [12) B n 1 (f; x) B n (f; x) fo n 2 and any 0 < q 1. In addton, t behaves n a vey nce way when we vay the paamete q : t s poved n [10 that B n(f; x) B q n(f; x) fo any 0 < q 1. As a consequence of ths we can show that the appoxmaton to a convex functon by ts q-bensten polynomal s one sded. Theoem 1.1 If f s a convex functon on [0, 1 then B n (f; x) f(x) fo 0 < q 1.

4 4 Jounal of Computatonal and Appled Mathematcs 151 (2003) 1-12 Poof Let l(x) = ax+b be any lne. Also let l be tangent at an abtay pont t [0, 1 so that l(t) = f(t) and f l 0. Usng B n (ax + b; x) = ax + b and the fact that B n s a monotone lnea opeato, we see that B n (f l) = B n f l 0. Thus, B n (f; t) l(t) = f(t) at any tangent pont t. By contnuty we deduce that B n f f. Theoem 1.2 Fo n = 2, 3,... we have n 2 x(1 x) [ n 2 B n 1 (f; x) B n (f; x) = q n+ 1 [n 1[n =0 [ n 2 [ [ + 1 [ + 1 f,, x (1 q s x). (1.5) [n 1 [n [n 1 Poof It s shown n [12 that the dffeence of consecutve q-bensten polynomals can be wtten as n 1 1 n B n 1 (f; x) B n (f; x) = x a (1 q s x), (1.6) whee a = =1 ( ) [n [ f + q [n [n 1 [n f s=0 s=1 ( ) [ 1 f [n 1 Let us evaluate the dvded dffeence of f at the ponts [ 1 the symmetc fom fo the dvded dffeences we obtan [ [ 1 f [n 1, [ [n, [ = [n 1 [n 1 2 [n q 2 2 [n f ( ) [ 1 [n 1 Fom (1.8) and (1.7) we see that a = qn+ 2 [n 1[n [n 1, [ [n [n 1 2 [n 2 q n+ 2 [[n f ( ) [. (1.7) [n [ and [n 1. Usng ( ) [ [n + [n ( ) 12 [n [ q n+ 2 [ f [n 1 [ 2 [ 1 f 1 [n 1, [ [n, and also t follows fom (1.6) that n 1 x(1 x) [ n 2 B n 1 (f; x) B n (f; x) = q n+ 2 [n 1[n 1 f =1 [ [n 1 [ [ 1 [n 1, [ n 1 [n, [ x 1 (1 q s x). [n 1 s=1 (1.8) Shftng the lmts of the latte equaton completes the poof. The ecent study [13 nvestgates convegence popetes of (1.1) as well convegence of ts teates and ts Boolean sums.

5 H. Ouç, G.M. Phllps / q-bensten polynomals and Béze cuves 5 2. Totally postve bases and the shape of cuves The bass functons whch appea n (1.1), B n (x) = 1 n x (1 q x), = 0, 1,..., n, (2.1) =0 satsfy the followng ecuence elatons whch can be deduced usng (1.2) and (1.3) espectvely, and B n (x) = q n xb 1 n 1 (x) + (1 qn 1 x)b n 1 (x), It can also be easly vefed that B n (x) = xb 1 n 1 (x) + (q q n 1 x)b n 1 (x). B m (x)b n (q m x) = [ m q (m ) [ m+n + B+ m+n (x). It s shown n [10 that the bass (2.1) povdes a nomalzed totally postve bass (NTP) fo 0 < q 1 on the nteval [0, 1 fo P n, the space of polynomals of degee not exceedng n. When q = 1, (2.1) s smply the classcal Bensten bass. NTP bases such as the genealzed Ball bass, the Bensten bass, and the B-splne bass, have an mpotant ole n geometc desgn whch we wll menton below. Let us ecall that a matx s sad to be totally postve (TP) f all ts mnos ae non-negatve. It s poved n [2 that a fnte matx s TP f and only f t s a poduct of 1-banded matces wth non-negatve elements. We say that a sequence Φ = (φ 0,..., φ n ) of eal-valued functons on an nteval I s TP f, fo any ponts x 0 < < x n n I, the collocaton matx (φ (x )),=0 n s TP. If Φ s TP and n =0 φ = 1 (so that ts collocaton matx s stochastc), we say that Φ s a NTP bass. Totally postve tansfomatons have a vaaton dmnshng popety, defned as follows : f T s a totally postve matx and v s any vecto fo whch Tv s defned, then S (Tv) S (v) (see [9), whee S (v) denotes the numbe of stct sgn changes n the (eal) sequence of elements of the vecto v. Smlaly, fo a eal-valued functon f on an nteval I we defne S (f) to be the numbe of sgn changes of f, that s S (f) = sup S (f(x 0 ),..., f(x m )) whee the supemum s taken ove all nceasng sequences (x 0,..., x m ) n I fo all m. Thus fom ths and the vaaton dmnshng popety we have S (B n (f; x)) S (f(0), f([1/[n),..., f(1)) S (f). Ths, togethe wth the fact that genealzed Bensten polynomals epoduce lnea functons, mples that when the functon f s monotonc so s B n (f; x)

6 6 Jounal of Computatonal and Appled Mathematcs 151 (2003) 1-12 and when t s convex so s B n (f; x) fo any 0 < q 1. Consequently, the opeato B n peseves the shape of the functon f on [0, 1, fo any 0 < q 1. Let us defne the paametc cuve P(t) by P(t) = (p 1 (t), p 2 (t)) = b B n (t), 0 t 1, (2.2) =0 whee b = (x, y ) R 2, = 0,..., n. We wll wte p(b 0,..., b n ) to denote the polygonal ac whch ons up the ponts b = (x, y ), = 0,..., n, usng pecewse lnea ntepolaton. Snce the genealzed Bensten bass s a nomalzed totally postve bass fo P n and 0 < q 1, P(t) s a convex combnaton of the ponts b 0,..., b n. Thus P(t) must le n the convex hull of the contol ponts fo all 0 t 1. Anothe consequence s the vaaton dmnshng popety. Theoem 2.1 The numbe of tmes any staght lne l cosses the cuve P(t) defned by (2.2) s no moe than the numbe of tmes t cosses p(b 0,..., b n ). Ths s ndeed tue fo any NTP bass Φ, and s poved n [9. It s obvous, on compang the numbe of sgn changes of l = ax + by + c wth that of P n (2.2), that we have ( ) S (ap 1 + bp 2 + c) = S (ax + by + c)b n (t) S (ax 0 + by 0 + c,..., ax n + by n + c), whch gves the desed esult. It follows fom ths that f the polygonal ac p(b 0,..., b n ) s monotonc n a gven decton then so s the cuve P. Moeove, f p(b 0,..., b n ) s convex, then any staght lne cosses t at most twce. Hence the cuve P cosses any lne at most twce whch mples that P s convex. Thus the shape of the cuve (2.2) mmcs the shape of the contol polygon p(b 0,..., b n ). Snce both Ψ = (B0 n(x),..., Bn n(x)) and the powe bass Φ = (1, x,..., x n ) fom a bass fo the space of polynomals P n, we may fnd the tansfomaton matx M such that Φ T = MΨ T. Snce n (x) = 1 we have n x = k k=0 k=0 Bn k x +k n k 1 t=0 (1 q t x). On [ shftng the lmts of the sum and the poduct above, usng (1.4) and wtng n [ k = n [ k [ k / n, we obtan [ k x = Bk n (x), = 0,..., n. (2.3) k= The matx M has the entes m,k = [ k = [n! [k! [k! [n!

7 H. Ouç, G.M. Phllps / q-bensten polynomals and Béze cuves 7 We may wte M = ATB such that A s a dagonal matx wth a, = [n! [n!, B s a dagonal matx wth b k,k = [k! and T s a Toepltz matx wth t,k = 1/([k!). Obvously the matces A and B ae TP fo any q > 0. Wth a lttle wok on the matx T we can vefy that t can be wtten as a poduct of 1-banded matces such that T = T (1) T (2) T (n) and the elements of each facto ae { 1, = k, t (),k = q k [k, = k 1, k. Thus T s TP fo any q > 0. Snce the poduct of TP matces s a TP matx we conclude that M s a TP matx. We also nvet the matx M to obtan coespondng coeffcents n Ψ T = M 1 Φ T. In a smla way, usng (1.4), we have [ [ n k B n (x) = ( 1) k q (k )(k 1)/2 x k. (2.4) k k= Thus the nvese of M has elements m 1,k = ( 1)k q (k )(k 1)/2 k [ k. Let us take φ = ( n ) x (1 x) n, = 0, 1,..., n. In the case of Ψ T = MΦ T, the elements of M satsfy m, = ( n ) (1 q) S(n 1, ), whee S(n, ) s the sum of ( n ) possble poducts of dstnct factos chosen fom the set {[1, [2,..., [n}. Note that S(n, ) satsfes the followng ecuence elaton S(n, ) = S(n 1, ) + [ns(n 1, 1), as can easly be vefed fom ts geneatng functon (1 + x)(1 + [2x) (1 + [nx) = S(n, )x. Snce any polynomal cuve can be expessed n tems of both bases, P(t) = b B n (t) = p φ (t), =0 the tansfomaton matx M also povdes the elatonshp between the contol ponts of P, (b 0,..., b n ) T = M T (p 0,..., p n ) T. It can be shown that the matx M obtaned above s TP fo any 0 < q 1 and M T s stochastc. Moeove t can be wtten as a poduct of 1-banded matces as follows : M = A n,q T 1,q... T n 1,q (A n,1 ) 1, =0 =0

8 8 Jounal of Computatonal and Appled Mathematcs 151 (2003) 1-12 whee A n,q s the dagonal matx wth elements a n,q, 1-banded matx such that t k,q, = 1, =, 1 q n k, = 1, 0 < k n 1, 0, othewse. = [ n and T k,q s the Ths class of matces s of patcula nteest n geometc desgn, when applyng a cone cuttng algothm whch s defned by a 1-banded TP stochastc matx. It s shown n [8 that a matx whch s nonsngula, TP and stochastc can be wtten as a poduct of 1-banded matces of the same type that descbes a cone cuttng algothm. It s also shown n [3, by usng ths technque to obtan the Béze polygon, that the Bensten bass has optmal shape pesevng popetes among all NTP bases fo P n. 3. Degee elevaton and educton One may wsh to ncease the flexblty of a gven cuve, usng the technque of degee elevaton. A degee elevaton algothm calculates a new set of contol ponts by choosng a convex combnaton of the old set of contol ponts whch etans the old end ponts. Fo ths pupose the denttes (1 q n t)b n (t) = [n + 1 [n + 1 B n+1 (t) (3.1) and q n t B n (t) = ( 1 ) [n [n + 1 pove useful. These follow mmedately fom (2.1). Theoem 3.1 Let P(t) = n =0 b B n (t), 0 t 1. Then =0 B+1 n+1 (t) (3.2) n+ P(t) = b B n+ (t), (3.3) whee, fo n 3 and = 0, 1,..., n +, [ [ n b = q ( )(n ) b. (3.4) =0 + Poof Ths can be poved by nducton on, as follows. We wte the gven cuve as P(t) = (1 q n t)p(t) + q n tp(t) and apply the followng ecusve algothm on degee elevated ponts b = ( 1 ) [n + b 1 [n b 1 [n + [n + { = 1, 2,... = 0, 1,..., n + (3.5)

9 H. Ouç, G.M. Phllps / q-bensten polynomals and Béze cuves 9 whee b 0 = b. On wtng ( ) [ [n + n / = qn+ and [n + 1 =0 + [n + [n + [ n+ 1 = 1 we can smplfy the ght sde of (3.5) to gve [ ( n q + [ [ 1 b = q ( )(n ) ) b. + + The q-bnomal coeffcents n the numeato of the latte expesson ae combned usng (1.2) to gve [. Ths vefes (3.4), and thus (3.3) holds. When q s eplaced by 1 above, we obtan the well known degee elevaton pocess fo Béze cuves. (See [5, 11, 6.) We obseve fom (3.5) that each new pont s obtaned by a convex combnaton of the two pevous ponts. Ths suggests the followng. Let b denote the vecto such that b T = [b 0,..., b n, whee the elements ae the contol vetces defned above. We also defne b as the vecto whose elements ae the contol vetces b, = 0, 1,..., n+, geneated by epeatng the degee elevaton pocess tmes. Theoem 3.2 Defne the cuve n+ E P(t) = b B n+ (t) =0 obtaned by tmes degee elevaton. Then, fo 0 < q 1, the numbe of tmes the cuve E P cosses any staght lne l s bounded by the numbe of tmes the polygon p(b 0,..., b n+) cosses l. Poof Let T,n be the tansfomaton matx such that b = T,n b. It s enough to show that T,n s a TP matx. Once agan we use nducton on to pove that T,n s a poduct of 1-banded postve matces wth the elements [ B (), T,n, [ = q( )(n ) n (3.6) + Thus T,n, s zeo unless 0. We note that the elements T,n, ae the coeffcents whch appea n (3.4). Now, the esult holds fo = 0 snce T 0,n s smply the (n+1) (n+1) dentty matx. Let B () denote the (n++1) (n+) 1-banded postve matx such that + 1 = q ( )(n+ ), fo 0 1. (3.7) + Then T,n = B () B ( 1) B (1). Let V = B (+1) T,n. Explctly ths yelds V, = n++1 k=0 B (+1),k T,n k,.,

10 10 Jounal of Computatonal and Appled Mathematcs 151 (2003) 1-12 We see fom (3.7) that B (+1),k s nonzeo only fo k = 1 and k =. Thus V, = B (+1), 1 T,n 1, + B(+1), T,n,. Hence, wth + 1 n (3.7) and (3.6), we obtan [ [ n [ V, = q (n+ +1)+( 1 )(n ) 1 + q ( )(n ) and hence V, = q ( )(n ) ++1 Usng the dentty (1.2) we obtan V, = q ( )(n ) ++1 (q ++1 [ [ [ ) +. 1 = T +1,n,, thus completng the poof. Thus the degee elevaton pocess fo the cuve wth the q-bensten bass s vaaton dmnshng. Ths has the followng consequences. If the contol polygon p(b 0,..., b n ) s monotonc n the y decton, so s the degee elevated polygon p(b 0,..., b n+). If the contol polygon p(b 0,..., b n ) s convex, so s the degee elevated polygon p(b 0,..., b n+). The nvese pocess of degee elevaton, whch s called degee educton, ams to epesent a gven cuve of degee n by one of degee n 1. In geneal, exact degee educton s not possble. We eque the q-dffeence fom of the Bensten polynomals, [ n B n (f; x) = f 0 x, =0 whee f = 1 f +1 q 1 1 f, and an nducton agument shows that [ f = ( 1) k q k(k 1)/2 f + k. (3.8) k k=0 We deduce that a q-béze cuve of degee n wth contol ponts b 0,..., b n has a degee n 1 epesentaton f and only f n b 0 = 0. Thus, fom (3.8) we have [ n n b 0 = ( 1) q ( 1)/2 b n = 0. =0 In ths case, n ode to fnd the new ponts b 0,..., b n 1 fo the q-béze epesentaton of degee n 1 we use the degee elevaton fomulas (3.1) and (3.2) so that n 1 b B n (t) = =0 =0 ( ( [n b B n (t) + 1 [n ) ) [n 1 B n [n +1(t).

11 H. Ouç, G.M. Phllps / q-bensten polynomals and Béze cuves 11 On compang the coeffcents of the bass functons B n (t), we obtan ( ) [n [n b = b + 1 b 1, = 0, 1,..., n 1, [n [n fom whch we obtan b = [n [n b ( ) [n [n 1 b 1, = 0, 1,..., n 1. (3.9) Ths appoxmaton s fom the left of the contol polygon, takng b 0 = b 0. When s eplaced by n n (3.9) we have an appoxmaton fom the ght sde, wth b n 1 = b n, b n 1 = [n [n [ b n [ n, = 0, 1,..., n 1. (3.10) [n [ b It s well known that when q = 1, as the numbe of degee elevated ponts the degee elevated polygon p(b 0,..., b n+ ) tends to the ognal cuve P(t) defned n the Theoem 3.1. wth the ate O( 1 n ), see [4, 16, 7. Acknowledgement The authos would lke to thank the efeee fo valuable emaks whch helped them mpove the pesentaton of ths study. Refeences [1 G. E. Andews, The Theoy of Pattons, Cambdge Unvesty Pess, Cambdge [2 C. de Boo and A. Pnkus, The appoxmaton of a totally postve band matx by a stctly banded totally postve one, Lnea Alg. Appl. 42 (1982), [3 J. M. Cance and J. M. Pẽna, Shape pesevng epesentatons and optmalty of the Bensten bass, Adv. n Comput. Math. 1 (1993) [4 E. Cohen, L.L. Schumake, Rates of convegence of contol polygons, Comp. Aded Geom. Desgn 2 (1985) [5 G. E. Fan, Cuves and Sufaces fo Compute-Aded Geometc Desgn. A Pactcal Gude, Academc Pess, San Dego [6 R. T. Faouk and V.T. Raan, On the numecal condton of polynomals n Bensten fom, Comp. Aded Geom. Desgn 4 (1987) [7 M.S. Floate and T. Lyche, Asymptotc convegence of degee-asng, Adv. n Comput. Math. 12 (2000)

12 12 Jounal of Computatonal and Appled Mathematcs 151 (2003) 1-12 [8 T.N.T. Goodman and C.A. Mcchell, Cone cuttng algothms fo the Béze epesentaton of fee fom cuves, Lnea Alg. Appl. 99 (1988) [9 T.N.T. Goodman, Total postvty and shape of cuves, n: Total Postvty and ts Applcatons (M. Gasca and C. A. Mcchell ed.), (Kluwe Academc Publshes, Dodecht, 1996) [10 T.N.T. Goodman, H. Ouç and G.M. Phllps, Convexty and genealzed Bensten polynomals, Poc. Edn. Math. Soc. 42 (1999) [11 J. Hoschek and D. Lasse, Fundamentals of Compute Aded Geometc Desgn, A.K. Petes, Wellesley, Massachusetts [12 H. Ouç and G.M. Phllps, A genealzaton of the Bensten polynomals, Poc. Edn. Math. Soc. 42 (1999) [13 H. Ouç and N. Tunce, On the convegence and teates of q-besnten polynomals, J. Appox. Theoy 117 (2002) [14 G.M. Phllps, A de Castelau algothm fo genealzed Bensten polynomals, BIT 36:1 (1996) [15 G.M. Phllps, Bensten polynomals based on the q-nteges, Ann. Nume. Math. 4 (1997) [16 H. Pautzsch and L. Kobbelt, Convegence of subdvson and degee elevaton, Adv. n Comput. Math. 2 (1994)

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences Geneatng Functons, Weghted and Non-Weghted Sums fo Powes of Second-Ode Recuence Sequences Pantelmon Stăncă Aubun Unvesty Montgomey, Depatment of Mathematcs Montgomey, AL 3614-403, USA e-mal: stanca@studel.aum.edu

More information

GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS

GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS #A39 INTEGERS 9 (009), 497-513 GENERALIZATION OF AN IDENTITY INVOLVING THE GENERALIZED FIBONACCI NUMBERS AND ITS APPLICATIONS Mohaad Faokh D. G. Depatent of Matheatcs, Fedows Unvesty of Mashhad, Mashhad,

More information

A generalization of the Bernstein polynomials

A generalization of the Bernstein polynomials A genealization of the Benstein polynomials Halil Ouç and Geoge M Phillips Mathematical Institute, Univesity of St Andews, Noth Haugh, St Andews, Fife KY16 9SS, Scotland Dedicated to Philip J Davis This

More information

8 Baire Category Theorem and Uniform Boundedness

8 Baire Category Theorem and Uniform Boundedness 8 Bae Categoy Theoem and Unfom Boundedness Pncple 8.1 Bae s Categoy Theoem Valdty of many esults n analyss depends on the completeness popety. Ths popety addesses the nadequacy of the system of atonal

More information

4 SingularValue Decomposition (SVD)

4 SingularValue Decomposition (SVD) /6/00 Z:\ jeh\self\boo Kannan\Jan-5-00\4 SVD 4 SngulaValue Decomposton (SVD) Chapte 4 Pat SVD he sngula value decomposton of a matx s the factozaton of nto the poduct of thee matces = UDV whee the columns

More information

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS Intenatonal Jounal of Mathematcal Engneeng Scence ISSN : 22776982 Volume Issue 4 (Apl 202) http://www.mes.com/ https://stes.google.com/ste/mesounal/ APPLICATIONS OF SEMIGENERALIZED CLOSED SETS G.SHANMUGAM,

More information

Set of square-integrable function 2 L : function space F

Set of square-integrable function 2 L : function space F Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,

More information

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M Dola Bagayoko (0) Integal Vecto Opeatons and elated Theoems Applcatons n Mechancs and E&M Ι Basc Defnton Please efe to you calculus evewed below. Ι, ΙΙ, andιιι notes and textbooks fo detals on the concepts

More information

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle 1 PHYS 705: Classcal Mechancs Devaton of Lagange Equatons fom D Alembet s Pncple 2 D Alembet s Pncple Followng a smla agument fo the vtual dsplacement to be consstent wth constants,.e, (no vtual wok fo

More information

P 365. r r r )...(1 365

P 365. r r r )...(1 365 SCIENCE WORLD JOURNAL VOL (NO4) 008 www.scecncewoldounal.og ISSN 597-64 SHORT COMMUNICATION ANALYSING THE APPROXIMATION MODEL TO BIRTHDAY PROBLEM *CHOJI, D.N. & DEME, A.C. Depatment of Mathematcs Unvesty

More information

ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION

ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION IJMMS 3:37, 37 333 PII. S16117131151 http://jmms.hndaw.com Hndaw Publshng Cop. ON THE FRESNEL SINE INTEGRAL AND THE CONVOLUTION ADEM KILIÇMAN Receved 19 Novembe and n evsed fom 7 Mach 3 The Fesnel sne

More information

The Greatest Deviation Correlation Coefficient and its Geometrical Interpretation

The Greatest Deviation Correlation Coefficient and its Geometrical Interpretation By Rudy A. Gdeon The Unvesty of Montana The Geatest Devaton Coelaton Coeffcent and ts Geometcal Intepetaton The Geatest Devaton Coelaton Coeffcent (GDCC) was ntoduced by Gdeon and Hollste (987). The GDCC

More information

Chapter Fifiteen. Surfaces Revisited

Chapter Fifiteen. Surfaces Revisited Chapte Ffteen ufaces Revsted 15.1 Vecto Descpton of ufaces We look now at the vey specal case of functons : D R 3, whee D R s a nce subset of the plane. We suppose s a nce functon. As the pont ( s, t)

More information

Energy in Closed Systems

Energy in Closed Systems Enegy n Closed Systems Anamta Palt palt.anamta@gmal.com Abstact The wtng ndcates a beakdown of the classcal laws. We consde consevaton of enegy wth a many body system n elaton to the nvese squae law and

More information

UNIT10 PLANE OF REGRESSION

UNIT10 PLANE OF REGRESSION UIT0 PLAE OF REGRESSIO Plane of Regesson Stuctue 0. Intoducton Ojectves 0. Yule s otaton 0. Plane of Regesson fo thee Vaales 0.4 Popetes of Resduals 0.5 Vaance of the Resduals 0.6 Summay 0.7 Solutons /

More information

Groupoid and Topological Quotient Group

Groupoid and Topological Quotient Group lobal Jounal of Pue and Appled Mathematcs SSN 0973-768 Volume 3 Numbe 7 07 pp 373-39 Reseach nda Publcatons http://wwwpublcatoncom oupod and Topolocal Quotent oup Mohammad Qasm Manna Depatment of Mathematcs

More information

Khintchine-Type Inequalities and Their Applications in Optimization

Khintchine-Type Inequalities and Their Applications in Optimization Khntchne-Type Inequaltes and The Applcatons n Optmzaton Anthony Man-Cho So Depatment of Systems Engneeng & Engneeng Management The Chnese Unvesty of Hong Kong ISDS-Kolloquum Unvestaet Wen 29 June 2009

More information

Test 1 phy What mass of a material with density ρ is required to make a hollow spherical shell having inner radius r i and outer radius r o?

Test 1 phy What mass of a material with density ρ is required to make a hollow spherical shell having inner radius r i and outer radius r o? Test 1 phy 0 1. a) What s the pupose of measuement? b) Wte all fou condtons, whch must be satsfed by a scala poduct. (Use dffeent symbols to dstngush opeatons on ectos fom opeatons on numbes.) c) What

More information

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints.

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints. Mathematcal Foundatons -1- Constaned Optmzaton Constaned Optmzaton Ma{ f ( ) X} whee X {, h ( ), 1,, m} Necessay condtons fo to be a soluton to ths mamzaton poblem Mathematcally, f ag Ma{ f ( ) X}, then

More information

An Approach to Inverse Fuzzy Arithmetic

An Approach to Inverse Fuzzy Arithmetic An Appoach to Invese Fuzzy Athmetc Mchael Hanss Insttute A of Mechancs, Unvesty of Stuttgat Stuttgat, Gemany mhanss@mechaun-stuttgatde Abstact A novel appoach of nvese fuzzy athmetc s ntoduced to successfully

More information

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS

COMPLEMENTARY ENERGY METHOD FOR CURVED COMPOSITE BEAMS ultscence - XXX. mcocd Intenatonal ultdscplnay Scentfc Confeence Unvesty of skolc Hungay - pl 06 ISBN 978-963-358-3- COPLEENTRY ENERGY ETHOD FOR CURVED COPOSITE BES Ákos József Lengyel István Ecsed ssstant

More information

Chapter 23: Electric Potential

Chapter 23: Electric Potential Chapte 23: Electc Potental Electc Potental Enegy It tuns out (won t show ths) that the tostatc foce, qq 1 2 F ˆ = k, s consevatve. 2 Recall, fo any consevatve foce, t s always possble to wte the wok done

More information

Rigid Bodies: Equivalent Systems of Forces

Rigid Bodies: Equivalent Systems of Forces Engneeng Statcs, ENGR 2301 Chapte 3 Rgd Bodes: Equvalent Sstems of oces Intoducton Teatment of a bod as a sngle patcle s not alwas possble. In geneal, the se of the bod and the specfc ponts of applcaton

More information

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems Engneeng echancs oce esultants, Toques, Scala oducts, Equvalent oce sstems Tata cgaw-hll Companes, 008 Resultant of Two oces foce: acton of one bod on anothe; chaacteed b ts pont of applcaton, magntude,

More information

Hamiltonian multivector fields and Poisson forms in multisymplectic field theory

Hamiltonian multivector fields and Poisson forms in multisymplectic field theory JOURNAL OF MATHEMATICAL PHYSICS 46, 12005 Hamltonan multvecto felds and Posson foms n multsymplectc feld theoy Mchael Foge a Depatamento de Matemátca Aplcada, Insttuto de Matemátca e Estatístca, Unvesdade

More information

SOME NEW SELF-DUAL [96, 48, 16] CODES WITH AN AUTOMORPHISM OF ORDER 15. KEYWORDS: automorphisms, construction, self-dual codes

SOME NEW SELF-DUAL [96, 48, 16] CODES WITH AN AUTOMORPHISM OF ORDER 15. KEYWORDS: automorphisms, construction, self-dual codes Факултет по математика и информатика, том ХVІ С, 014 SOME NEW SELF-DUAL [96, 48, 16] CODES WITH AN AUTOMORPHISM OF ORDER 15 NIKOLAY I. YANKOV ABSTRACT: A new method fo constuctng bnay self-dual codes wth

More information

Some Approximate Analytical Steady-State Solutions for Cylindrical Fin

Some Approximate Analytical Steady-State Solutions for Cylindrical Fin Some Appoxmate Analytcal Steady-State Solutons fo Cylndcal Fn ANITA BRUVERE ANDRIS BUIIS Insttute of Mathematcs and Compute Scence Unvesty of Latva Rana ulv 9 Rga LV459 LATVIA Astact: - In ths pape we

More information

Ranks of quotients, remainders and p-adic digits of matrices

Ranks of quotients, remainders and p-adic digits of matrices axv:1401.6667v2 [math.nt] 31 Jan 2014 Ranks of quotents, emandes and p-adc dgts of matces Mustafa Elshekh Andy Novocn Mak Gesbecht Abstact Fo a pme p and a matx A Z n n, wte A as A = p(a quo p)+ (A em

More information

Machine Learning 4771

Machine Learning 4771 Machne Leanng 4771 Instucto: Tony Jebaa Topc 6 Revew: Suppot Vecto Machnes Pmal & Dual Soluton Non-sepaable SVMs Kenels SVM Demo Revew: SVM Suppot vecto machnes ae (n the smplest case) lnea classfes that

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 151 Lectue 18 Hamltonan Equatons of Moton (Chapte 8) What s Ahead We ae statng Hamltonan fomalsm Hamltonan equaton Today and 11/6 Canoncal tansfomaton 1/3, 1/5, 1/10 Close lnk to non-elatvstc

More information

4 Recursive Linear Predictor

4 Recursive Linear Predictor 4 Recusve Lnea Pedcto The man objectve of ths chapte s to desgn a lnea pedcto wthout havng a po knowledge about the coelaton popetes of the nput sgnal. In the conventonal lnea pedcto the known coelaton

More information

Machine Learning. Spectral Clustering. Lecture 23, April 14, Reading: Eric Xing 1

Machine Learning. Spectral Clustering. Lecture 23, April 14, Reading: Eric Xing 1 Machne Leanng -7/5 7/5-78, 78, Spng 8 Spectal Clusteng Ec Xng Lectue 3, pl 4, 8 Readng: Ec Xng Data Clusteng wo dffeent ctea Compactness, e.g., k-means, mxtue models Connectvty, e.g., spectal clusteng

More information

The Forming Theory and the NC Machining for The Rotary Burs with the Spectral Edge Distribution

The Forming Theory and the NC Machining for The Rotary Burs with the Spectral Edge Distribution oden Appled Scence The Fomn Theoy and the NC achnn fo The Rotay us wth the Spectal Ede Dstbuton Huan Lu Depatment of echancal Enneen, Zhejan Unvesty of Scence and Technoloy Hanzhou, c.y. chan, 310023,

More information

INTRODUCTION. consider the statements : I there exists x X. f x, such that. II there exists y Y. such that g y

INTRODUCTION. consider the statements : I there exists x X. f x, such that. II there exists y Y. such that g y INRODUCION hs dssetaton s the eadng of efeences [1], [] and [3]. Faas lemma s one of the theoems of the altenatve. hese theoems chaacteze the optmalt condtons of seveal mnmzaton poblems. It s nown that

More information

Exact Simplification of Support Vector Solutions

Exact Simplification of Support Vector Solutions Jounal of Machne Leanng Reseach 2 (200) 293-297 Submtted 3/0; Publshed 2/0 Exact Smplfcaton of Suppot Vecto Solutons Tom Downs TD@ITEE.UQ.EDU.AU School of Infomaton Technology and Electcal Engneeng Unvesty

More information

On the Distribution of the Product and Ratio of Independent Central and Doubly Non-central Generalized Gamma Ratio random variables

On the Distribution of the Product and Ratio of Independent Central and Doubly Non-central Generalized Gamma Ratio random variables On the Dstbuton of the Poduct Rato of Independent Cental Doubly Non-cental Genealzed Gamma Rato om vaables Calos A. Coelho João T. Mexa Abstact Usng a decomposton of the chaactestc functon of the logathm

More information

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c nd Intenatonal Confeence on Electcal Compute Engneeng and Electoncs (ICECEE 15) Dstnct 8-QAM+ Pefect Aays Fanxn Zeng 1 a Zhenyu Zhang 1 b Lnje Qan 1 c 1 Chongqng Key Laboatoy of Emegency Communcaton Chongqng

More information

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0 Bezer curves Mchael S. Floater August 25, 211 These notes provde an ntroducton to Bezer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of the

More information

3. A Review of Some Existing AW (BT, CT) Algorithms

3. A Review of Some Existing AW (BT, CT) Algorithms 3. A Revew of Some Exstng AW (BT, CT) Algothms In ths secton, some typcal ant-wndp algothms wll be descbed. As the soltons fo bmpless and condtoned tansfe ae smla to those fo ant-wndp, the pesented algothms

More information

CSJM University Class: B.Sc.-II Sub:Physics Paper-II Title: Electromagnetics Unit-1: Electrostatics Lecture: 1 to 4

CSJM University Class: B.Sc.-II Sub:Physics Paper-II Title: Electromagnetics Unit-1: Electrostatics Lecture: 1 to 4 CSJM Unvesty Class: B.Sc.-II Sub:Physcs Pape-II Ttle: Electomagnetcs Unt-: Electostatcs Lectue: to 4 Electostatcs: It deals the study of behavo of statc o statonay Chages. Electc Chage: It s popety by

More information

Optimization Methods: Linear Programming- Revised Simplex Method. Module 3 Lecture Notes 5. Revised Simplex Method, Duality and Sensitivity analysis

Optimization Methods: Linear Programming- Revised Simplex Method. Module 3 Lecture Notes 5. Revised Simplex Method, Duality and Sensitivity analysis Optmzaton Meods: Lnea Pogammng- Revsed Smple Meod Module Lectue Notes Revsed Smple Meod, Dualty and Senstvty analyss Intoducton In e pevous class, e smple meod was dscussed whee e smple tableau at each

More information

Asymptotic Waves for a Non Linear System

Asymptotic Waves for a Non Linear System Int Jounal of Math Analyss, Vol 3, 9, no 8, 359-367 Asymptotc Waves fo a Non Lnea System Hamlaou Abdelhamd Dépatement de Mathématques, Faculté des Scences Unvesté Bad Mokhta BP,Annaba, Algea hamdhamlaou@yahoof

More information

Thermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering

Thermodynamics of solids 4. Statistical thermodynamics and the 3 rd law. Kwangheon Park Kyung Hee University Department of Nuclear Engineering Themodynamcs of solds 4. Statstcal themodynamcs and the 3 d law Kwangheon Pak Kyung Hee Unvesty Depatment of Nuclea Engneeng 4.1. Intoducton to statstcal themodynamcs Classcal themodynamcs Statstcal themodynamcs

More information

A STUDY OF SOME METHODS FOR FINDING SMALL ZEROS OF POLYNOMIAL CONGRUENCES APPLIED TO RSA

A STUDY OF SOME METHODS FOR FINDING SMALL ZEROS OF POLYNOMIAL CONGRUENCES APPLIED TO RSA Jounal of Mathematcal Scences: Advances and Applcatons Volume 38, 06, Pages -48 Avalable at http://scentfcadvances.co.n DOI: http://dx.do.og/0.864/jmsaa_700630 A STUDY OF SOME METHODS FOR FINDING SMALL

More information

Scalars and Vectors Scalar

Scalars and Vectors Scalar Scalas and ectos Scala A phscal quantt that s completel chaacteed b a eal numbe (o b ts numecal value) s called a scala. In othe wods a scala possesses onl a magntude. Mass denst volume tempeatue tme eneg

More information

19 The Born-Oppenheimer Approximation

19 The Born-Oppenheimer Approximation 9 The Bon-Oppenheme Appoxmaton The full nonelatvstc Hamltonan fo a molecule s gven by (n a.u.) Ĥ = A M A A A, Z A + A + >j j (883) Lets ewte the Hamltonan to emphasze the goal as Ĥ = + A A A, >j j M A

More information

Correspondence Analysis & Related Methods

Correspondence Analysis & Related Methods Coespondence Analyss & Related Methods Ineta contbutons n weghted PCA PCA s a method of data vsualzaton whch epesents the tue postons of ponts n a map whch comes closest to all the ponts, closest n sense

More information

Analytical and Numerical Solutions for a Rotating Annular Disk of Variable Thickness

Analytical and Numerical Solutions for a Rotating Annular Disk of Variable Thickness Appled Mathematcs 00 43-438 do:0.436/am.00.5057 Publshed Onlne Novembe 00 (http://www.scrp.og/jounal/am) Analytcal and Numecal Solutons fo a Rotatng Annula Ds of Vaable Thcness Abstact Ashaf M. Zenou Daoud

More information

Bayesian Assessment of Availabilities and Unavailabilities of Multistate Monotone Systems

Bayesian Assessment of Availabilities and Unavailabilities of Multistate Monotone Systems Dept. of Math. Unvesty of Oslo Statstcal Reseach Repot No 3 ISSN 0806 3842 June 2010 Bayesan Assessment of Avalabltes and Unavalabltes of Multstate Monotone Systems Bent Natvg Jøund Gåsemy Tond Retan June

More information

Physics 11b Lecture #2. Electric Field Electric Flux Gauss s Law

Physics 11b Lecture #2. Electric Field Electric Flux Gauss s Law Physcs 11b Lectue # Electc Feld Electc Flux Gauss s Law What We Dd Last Tme Electc chage = How object esponds to electc foce Comes n postve and negatve flavos Conseved Electc foce Coulomb s Law F Same

More information

A. Thicknesses and Densities

A. Thicknesses and Densities 10 Lab0 The Eath s Shells A. Thcknesses and Denstes Any theoy of the nteo of the Eath must be consstent wth the fact that ts aggegate densty s 5.5 g/cm (ecall we calculated ths densty last tme). In othe

More information

Efficiency of the principal component Liu-type estimator in logistic

Efficiency of the principal component Liu-type estimator in logistic Effcency of the pncpal component Lu-type estmato n logstc egesson model Jbo Wu and Yasn Asa 2 School of Mathematcs and Fnance, Chongqng Unvesty of Ats and Scences, Chongqng, Chna 2 Depatment of Mathematcs-Compute

More information

Multistage Median Ranked Set Sampling for Estimating the Population Median

Multistage Median Ranked Set Sampling for Estimating the Population Median Jounal of Mathematcs and Statstcs 3 (: 58-64 007 ISSN 549-3644 007 Scence Publcatons Multstage Medan Ranked Set Samplng fo Estmatng the Populaton Medan Abdul Azz Jeman Ame Al-Oma and Kamaulzaman Ibahm

More information

A Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions

A Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions A Bef Gude to Recognzng and Copng Wth Falues of the Classcal Regesson Assumptons Model: Y 1 k X 1 X fxed n epeated samples IID 0, I. Specfcaton Poblems A. Unnecessay explanatoy vaables 1. OLS s no longe

More information

Experimental study on parameter choices in norm-r support vector regression machines with noisy input

Experimental study on parameter choices in norm-r support vector regression machines with noisy input Soft Comput 006) 0: 9 3 DOI 0.007/s00500-005-0474-z ORIGINAL PAPER S. Wang J. Zhu F. L. Chung Hu Dewen Expemental study on paamete choces n nom- suppot vecto egesson machnes wth nosy nput Publshed onlne:

More information

Part V: Velocity and Acceleration Analysis of Mechanisms

Part V: Velocity and Acceleration Analysis of Mechanisms Pat V: Velocty an Acceleaton Analyss of Mechansms Ths secton wll evew the most common an cuently pactce methos fo completng the knematcs analyss of mechansms; escbng moton though velocty an acceleaton.

More information

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0 Bézer curves Mchael S. Floater September 1, 215 These notes provde an ntroducton to Bézer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of

More information

V. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. "Flux": = da i. "Force": = -Â g a ik k = X i. Â J i X i (7.

V. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. Flux: = da i. Force: = -Â g a ik k = X i. Â J i X i (7. Themodynamcs and Knetcs of Solds 71 V. Pncples of Ievesble Themodynamcs 5. Onsage s Teatment s = S - S 0 = s( a 1, a 2,...) a n = A g - A n (7.6) Equlbum themodynamcs detemnes the paametes of an equlbum

More information

THE ISOMORPHISM PROBLEM FOR CAYLEY GRAPHS ON THE GENERALIZED DICYCLIC GROUP

THE ISOMORPHISM PROBLEM FOR CAYLEY GRAPHS ON THE GENERALIZED DICYCLIC GROUP IJAMM 4:1 (016) 19-30 Mach 016 ISSN: 394-58 Avalale at http://scentfcadvances.co.n DOI: http://dx.do.og/10.1864/amml_710011617 THE ISOMORPHISM PROBEM FOR CAYEY RAPHS ON THE ENERAIZED DICYCIC ROUP Pedo

More information

4.4 Continuum Thermomechanics

4.4 Continuum Thermomechanics 4.4 Contnuum Themomechancs The classcal themodynamcs s now extended to the themomechancs of a contnuum. The state aables ae allowed to ay thoughout a mateal and pocesses ae allowed to be eesble and moe

More information

CSU ATS601 Fall Other reading: Vallis 2.1, 2.2; Marshall and Plumb Ch. 6; Holton Ch. 2; Schubert Ch r or v i = v r + r (3.

CSU ATS601 Fall Other reading: Vallis 2.1, 2.2; Marshall and Plumb Ch. 6; Holton Ch. 2; Schubert Ch r or v i = v r + r (3. 3 Eath s Rotaton 3.1 Rotatng Famewok Othe eadng: Valls 2.1, 2.2; Mashall and Plumb Ch. 6; Holton Ch. 2; Schubet Ch. 3 Consde the poston vecto (the same as C n the fgue above) otatng at angula velocty.

More information

Observer Design for Takagi-Sugeno Descriptor System with Lipschitz Constraints

Observer Design for Takagi-Sugeno Descriptor System with Lipschitz Constraints Intenatonal Jounal of Instumentaton and Contol Systems (IJICS) Vol., No., Apl Obseve Desgn fo akag-sugeno Descpto System wth Lpschtz Constants Klan Ilhem,Jab Dalel, Bel Hadj Al Saloua and Abdelkm Mohamed

More information

Links in edge-colored graphs

Links in edge-colored graphs Lnks n edge-coloed gaphs J.M. Becu, M. Dah, Y. Manoussaks, G. Mendy LRI, Bât. 490, Unvesté Pas-Sud 11, 91405 Osay Cedex, Fance Astact A gaph s k-lnked (k-edge-lnked), k 1, f fo each k pas of vetces x 1,

More information

Dilations and Commutant Lifting for Jointly Isometric OperatorsA Geometric Approach

Dilations and Commutant Lifting for Jointly Isometric OperatorsA Geometric Approach jounal of functonal analyss 140, 300311 (1996) atcle no. 0109 Dlatons and Commutant Lftng fo Jontly Isometc OpeatosA Geometc Appoach K. R. M. Attele and A. R. Lubn Depatment of Mathematcs, Illnos Insttute

More information

Pattern Analyses (EOF Analysis) Introduction Definition of EOFs Estimation of EOFs Inference Rotated EOFs

Pattern Analyses (EOF Analysis) Introduction Definition of EOFs Estimation of EOFs Inference Rotated EOFs Patten Analyses (EOF Analyss) Intoducton Defnton of EOFs Estmaton of EOFs Infeence Rotated EOFs . Patten Analyses Intoducton: What s t about? Patten analyses ae technques used to dentfy pattens of the

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

SOME SOLVABILITY THEOREMS FOR NONLINEAR EQUATIONS

SOME SOLVABILITY THEOREMS FOR NONLINEAR EQUATIONS Fixed Point Theoy, Volume 5, No. 1, 2004, 71-80 http://www.math.ubbcluj.o/ nodeacj/sfptcj.htm SOME SOLVABILITY THEOREMS FOR NONLINEAR EQUATIONS G. ISAC 1 AND C. AVRAMESCU 2 1 Depatment of Mathematics Royal

More information

ON h-transformation OF SOME SPECIAL FINSLER SPACE

ON h-transformation OF SOME SPECIAL FINSLER SPACE Electonc Jounal of Mathematcal Analyss and Applcatons Vol. 5(2) July 2017, pp. 250-259. ISSN: 2090-729X(onlne) http://fcag-egypt.com/jounals/ejmaa/ ON h-transformation OF SOME SPECIAL FINSLER SPACE MANOJ

More information

24-2: Electric Potential Energy. 24-1: What is physics

24-2: Electric Potential Energy. 24-1: What is physics D. Iyad SAADEDDIN Chapte 4: Electc Potental Electc potental Enegy and Electc potental Calculatng the E-potental fom E-feld fo dffeent chage dstbutons Calculatng the E-feld fom E-potental Potental of a

More information

Asymptotically Lacunary Statistical Equivalent Sequence Spaces Defined by Ideal Convergence and an Orlicz Function

Asymptotically Lacunary Statistical Equivalent Sequence Spaces Defined by Ideal Convergence and an Orlicz Function "Science Stays Tue Hee" Jounal of Mathematics and Statistical Science, 335-35 Science Signpost Publishing Asymptotically Lacunay Statistical Equivalent Sequence Spaces Defined by Ideal Convegence and an

More information

KOEBE DOMAINS FOR THE CLASSES OF FUNCTIONS WITH RANGES INCLUDED IN GIVEN SETS

KOEBE DOMAINS FOR THE CLASSES OF FUNCTIONS WITH RANGES INCLUDED IN GIVEN SETS Jounal of Applied Analysis Vol. 14, No. 1 2008), pp. 43 52 KOEBE DOMAINS FOR THE CLASSES OF FUNCTIONS WITH RANGES INCLUDED IN GIVEN SETS L. KOCZAN and P. ZAPRAWA Received Mach 12, 2007 and, in evised fom,

More information

N = N t ; t 0. N is the number of claims paid by the

N = N t ; t 0. N is the number of claims paid by the Iulan MICEA, Ph Mhaela COVIG, Ph Canddate epatment of Mathematcs The Buchaest Academy of Economc Studes an CECHIN-CISTA Uncedt Tac Bank, Lugoj SOME APPOXIMATIONS USE IN THE ISK POCESS OF INSUANCE COMPANY

More information

Multipole Radiation. March 17, 2014

Multipole Radiation. March 17, 2014 Multpole Radaton Mach 7, 04 Zones We wll see that the poblem of hamonc adaton dvdes nto thee appoxmate egons, dependng on the elatve magntudes of the dstance of the obsevaton pont,, and the wavelength,

More information

Summer Workshop on the Reaction Theory Exercise sheet 8. Classwork

Summer Workshop on the Reaction Theory Exercise sheet 8. Classwork Joned Physcs Analyss Cente Summe Wokshop on the Reacton Theoy Execse sheet 8 Vncent Matheu Contact: http://www.ndana.edu/~sst/ndex.html June June To be dscussed on Tuesday of Week-II. Classwok. Deve all

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

Chapter 13 - Universal Gravitation

Chapter 13 - Universal Gravitation Chapte 3 - Unesal Gataton In Chapte 5 we studed Newton s thee laws of moton. In addton to these laws, Newton fomulated the law of unesal gataton. Ths law states that two masses ae attacted by a foce gen

More information

Physics 202, Lecture 2. Announcements

Physics 202, Lecture 2. Announcements Physcs 202, Lectue 2 Today s Topcs Announcements Electc Felds Moe on the Electc Foce (Coulomb s Law The Electc Feld Moton of Chaged Patcles n an Electc Feld Announcements Homewok Assgnment #1: WebAssgn

More information

Numerical approximation to ζ(2n+1)

Numerical approximation to ζ(2n+1) Illinois Wesleyan Univesity Fom the SelectedWoks of Tian-Xiao He 6 Numeical appoximation to ζ(n+1) Tian-Xiao He, Illinois Wesleyan Univesity Michael J. Dancs Available at: https://woks.bepess.com/tian_xiao_he/6/

More information

Beyond Zudilin s Conjectured q-analog of Schmidt s problem

Beyond Zudilin s Conjectured q-analog of Schmidt s problem Beyond Zudln s Conectured q-analog of Schmdt s problem Thotsaporn Ae Thanatpanonda thotsaporn@gmalcom Mathematcs Subect Classfcaton: 11B65 33B99 Abstract Usng the methodology of (rgorous expermental mathematcs

More information

General Variance Covariance Structures in Two-Way Random Effects Models

General Variance Covariance Structures in Two-Way Random Effects Models Appled Mathematcs 3 4 64-63 http://dxdoog/436/am34486 Publshed Onlne Apl 3 (http://wwwscpog/jounal/am) Geneal aance Covaance Stuctues n wo-way Rom Effects Models Calos e Poes Jaya Kshnakuma epatment of

More information

A new proof of the Garoufalidis Lê Zeilberger quantum MacMahon Master Theorem

A new proof of the Garoufalidis Lê Zeilberger quantum MacMahon Master Theorem Jounal of Algeba 307 (007 44 43 wwwelsevecom/locate/jalgeba A new poof of the Gaoufalds Lê Zelbege quantum MacMahon Maste Theoem Domnque Foata a,, Guo-Nu Han b a Insttut Lothae,, ue Mune, F-67000 Stasboug,

More information

such that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1

such that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1 Scholas Joual of Egeeg ad Techology (SJET) Sch. J. Eg. Tech. 0; (C):669-67 Scholas Academc ad Scetfc Publshe (A Iteatoal Publshe fo Academc ad Scetfc Resouces) www.saspublshe.com ISSN -X (Ole) ISSN 7-9

More information

The Unique Solution of Stochastic Differential Equations With. Independent Coefficients. Dietrich Ryter.

The Unique Solution of Stochastic Differential Equations With. Independent Coefficients. Dietrich Ryter. The Unque Soluton of Stochastc Dffeental Equatons Wth Independent Coeffcents Detch Ryte RyteDM@gawnet.ch Mdatweg 3 CH-4500 Solothun Swtzeland Phone +4132 621 13 07 SDE s must be solved n the ant-itô sense

More information

Chapter 8. Linear Momentum, Impulse, and Collisions

Chapter 8. Linear Momentum, Impulse, and Collisions Chapte 8 Lnea oentu, Ipulse, and Collsons 8. Lnea oentu and Ipulse The lnea oentu p of a patcle of ass ovng wth velocty v s defned as: p " v ote that p s a vecto that ponts n the sae decton as the velocty

More information

Chapter I Matrices, Vectors, & Vector Calculus 1-1, 1-9, 1-10, 1-11, 1-17, 1-18, 1-25, 1-27, 1-36, 1-37, 1-41.

Chapter I Matrices, Vectors, & Vector Calculus 1-1, 1-9, 1-10, 1-11, 1-17, 1-18, 1-25, 1-27, 1-36, 1-37, 1-41. Chapte I Matces, Vectos, & Vecto Calculus -, -9, -0, -, -7, -8, -5, -7, -36, -37, -4. . Concept of a Scala Consde the aa of patcles shown n the fgue. he mass of the patcle at (,) can be epessed as. M (,

More information

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)

More information

Remember: When an object falls due to gravity its potential energy decreases.

Remember: When an object falls due to gravity its potential energy decreases. Chapte 5: lectc Potental As mentoned seveal tmes dung the uate Newton s law o gavty and Coulomb s law ae dentcal n the mathematcal om. So, most thngs that ae tue o gavty ae also tue o electostatcs! Hee

More information

K-QUASICONVEXITY REDUCES TO QUASICONVEXITY

K-QUASICONVEXITY REDUCES TO QUASICONVEXITY K-UASICONVEXITY REDUCES TO UASICONVEXITY F. CAGNETTI Abstact. The elaton between quasconvexty and -quasconvexty,, s nvestgated. It s shown that evey smooth stctly -quasconvex ntegand wth p-gowth at nfnty,

More information

Theo K. Dijkstra. Faculty of Economics and Business, University of Groningen, Nettelbosje 2, 9747 AE Groningen THE NETHERLANDS

Theo K. Dijkstra. Faculty of Economics and Business, University of Groningen, Nettelbosje 2, 9747 AE Groningen THE NETHERLANDS RESEARCH ESSAY COSISE PARIAL LEAS SQUARES PAH MODELIG heo K. Djksta Faculty of Economcs and Busness, Unvesty of Gonngen, ettelbosje, 9747 AE Gonngen HE EHERLADS {t.k.djksta@ug.nl} Jög Hensele Faculty of

More information

Different General Algorithms for Solving Poisson Equation

Different General Algorithms for Solving Poisson Equation Dffeent Geneal Algotms fo Solvng Posson Equaton Me Yn SUMMARY Te objectve of ts tess s to dscuss te applcaton of dffeent geneal algotms to te soluton of Posson Equaton subject to Dclet bounday condton

More information

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

On the Poisson Approximation to the Negative Hypergeometric Distribution

On the Poisson Approximation to the Negative Hypergeometric Distribution BULLETIN of the Malaysian Mathematical Sciences Society http://mathusmmy/bulletin Bull Malays Math Sci Soc (2) 34(2) (2011), 331 336 On the Poisson Appoximation to the Negative Hypegeometic Distibution

More information

ON INDEPENDENT SETS IN PURELY ATOMIC PROBABILITY SPACES WITH GEOMETRIC DISTRIBUTION. 1. Introduction. 1 r r. r k for every set E A, E \ {0},

ON INDEPENDENT SETS IN PURELY ATOMIC PROBABILITY SPACES WITH GEOMETRIC DISTRIBUTION. 1. Introduction. 1 r r. r k for every set E A, E \ {0}, ON INDEPENDENT SETS IN PURELY ATOMIC PROBABILITY SPACES WITH GEOMETRIC DISTRIBUTION E. J. IONASCU and A. A. STANCU Abstact. We ae inteested in constucting concete independent events in puely atomic pobability

More information

Thermoelastic Problem of a Long Annular Multilayered Cylinder

Thermoelastic Problem of a Long Annular Multilayered Cylinder Wold Jounal of Mechancs, 3, 3, 6- http://dx.do.og/.436/w.3.35a Publshed Onlne August 3 (http://www.scp.og/ounal/w) Theoelastc Poble of a Long Annula Multlayeed Cylnde Y Hsen Wu *, Kuo-Chang Jane Depatent

More information

SOME GENERAL NUMERICAL RADIUS INEQUALITIES FOR THE OFF-DIAGONAL PARTS OF 2 2 OPERATOR MATRICES

SOME GENERAL NUMERICAL RADIUS INEQUALITIES FOR THE OFF-DIAGONAL PARTS OF 2 2 OPERATOR MATRICES italian jounal of pue and applied mathematics n. 35 015 (433 44) 433 SOME GENERAL NUMERICAL RADIUS INEQUALITIES FOR THE OFF-DIAGONAL PARTS OF OPERATOR MATRICES Watheq Bani-Domi Depatment of Mathematics

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

ON LACUNARY INVARIANT SEQUENCE SPACES DEFINED BY A SEQUENCE OF MODULUS FUNCTIONS

ON LACUNARY INVARIANT SEQUENCE SPACES DEFINED BY A SEQUENCE OF MODULUS FUNCTIONS STUDIA UNIV BABEŞ BOLYAI, MATHEMATICA, Volume XLVIII, Numbe 4, Decembe 2003 ON LACUNARY INVARIANT SEQUENCE SPACES DEFINED BY A SEQUENCE OF MODULUS FUNCTIONS VATAN KARAKAYA AND NECIP SIMSEK Abstact The

More information

Density Functional Theory I

Density Functional Theory I Densty Functonal Theoy I cholas M. Hason Depatment of Chemsty Impeal College Lonon & Computatonal Mateals Scence Daesbuy Laboatoy ncholas.hason@c.ac.uk Densty Functonal Theoy I The Many Electon Schönge

More information

DEGREE REDUCTION OF BÉZIER CURVES USING CONSTRAINED CHEBYSHEV POLYNOMIALS OF THE SECOND KIND

DEGREE REDUCTION OF BÉZIER CURVES USING CONSTRAINED CHEBYSHEV POLYNOMIALS OF THE SECOND KIND ANZIAM J. 45(003), 195 05 DEGREE REDUCTION OF BÉZIER CURVES USING CONSTRAINED CHEBYSHEV POLYNOMIALS OF THE SECOND KIND YOUNG JOON AHN 1 (Receved 3 August, 001; revsed 7 June, 00) Abstract In ths paper

More information