Bernstein Polynomials

Size: px
Start display at page:

Download "Bernstein Polynomials"

Transcription

1 7 Bestei Polyomials 7.1 Itoductio This chapte is coceed with sequeces of polyomials amed afte thei ceato S. N. Bestei. Give a fuctio f o [0, 1, we defie the Bestei polyomial B (f; x = ( f =0 ( x (1 x (7.1 fo each positive itege. Thus thee is a sequece of Bestei polyomials coespodig to each fuctio f. As we will see late i this chapte, if f is cotiuous o [0, 1, its sequece of Bestei polyomials coveges uifomly to f o [0, 1, thus givig a costuctive poof of Weiestass s Theoem 2.4.1, which we stated i Chapte 2. Thee ae seveal poofs of this fudametal theoem, begiig with that give by K. Weiestass [55 i (See the Notes i E. W. Cheey s text [7. This cotais a lage umbe of histoical efeeces i appoximatio theoy. Bestei s poof [3 was published i Oe might wode why Bestei ceated ew polyomials fo this pupose, istead of usig polyomials that wee aleady kow to mathematics. Taylo polyomials ae ot appopiate; fo eve settig aside questios of covegece, they ae applicable oly to fuctios that ae ifiitely diffeetiable, ad ot to all cotiuous fuctios. We ca also dismiss aothe obvious cadidate, the itepolatig polyomials fo f costucted at equally spaced poits. Fo the latte sequece of polyomials does ot covege uifomly to f fo all f C[0, 1, ad the same is tue of itepolatio o ay othe fixed sequece of abscis-

2 Bestei Polyomials sas. Howeve, L. Fejé [19 used a method based o Hemite itepolatio i a poof published i 1930, which we will discuss i the ext sectio. Late i this sectio we will coside how Bestei discoveed his polyomials, fo this is ot immediately obvious. We will also see that although the covegece of the Bestei polyomials is slow, they have compesatig shape-pesevig popeties. Fo example, the Bestei polyomial of a covex fuctio is itself covex. It is clea fom (7.1 that fo all 1, B (f;0=f(0 ad B (f;1=f(1, (7.2 so that a Bestei polyomial fo f itepolates f at both edpoits of the iteval [0, 1. Example It follows fom the biomial expasio that B (1; x = =0 ( x (1 x =(x +(1 x =1, (7.3 so that the Bestei polyomial fo the costat fuctio 1 is also 1. Sice ( ( 1 = 1 fo 1, the Bestei polyomial fo the fuctio x is B (x; x = =0 ( x (1 x = x =1 ( 1 1 x 1 (1 x. Note that the tem coespodig to = 0 i the fist of the above two sums is zeo. O puttig s = 1 i the secod summatio, we obtai 1 ( 1 B (x; x =x s x s (1 x 1 s = x, (7.4 the last step followig fom (7.3 with eplaced by 1. Thus the Bestei polyomial fo the fuctio x is also x. We call B the Bestei opeato; it maps a fuctio f, defied o [0, 1, to B f, whee the fuctio B f evaluated at x is deoted by B (f; x. The Bestei opeato is obviously liea, sice it follows fom (7.1 that B (λf + µg =λb f + µb g, (7.5 fo all fuctios f ad g defied o [0, 1, ad all eal λ ad µ. Weow equie the followig defiitio.

3 7.1 Itoductio 249 Defiitio Let L deote a liea opeato that maps a fuctio f defied o [a, b to a fuctio Lf defied o [c, d. The L is said to be a mootoe opeato o, equivaletly, a positive opeato if f(x g(x, x [a, b (Lf(x (Lg(x, x [c, d, (7.6 whee we have witte (Lf(x to deote the value of the fuctio Lf at the poit x [a, b. We ca see fom (7.1 that B is a mootoe opeato. It the follows fom the mootoicity of B ad (7.3 that m f(x M, x [0, 1 m B (f; x M, x [0, 1. (7.7 I paticula, if we choose m = 0 i (7.7, we obtai f(x 0, x [0, 1 B (f; x 0, x [0, 1. (7.8 It follows fom (7.3, (7.4, ad the liea popety (7.5 that B (ax + b; x =ax + b, (7.9 fo all eal a ad b. We theefoe say that the Bestei opeato epoduces liea polyomials. We ca deduce fom the followig esult that the Bestei opeato does ot epoduce ay polyomial of degee geate tha oe. Theoem The Bestei polyomial may be expessed i the fom B (f; x = =0 ( f(0 x, (7.10 whee is the fowad diffeece opeato, defied i (1.67, with step size h =1/. Poof. Begiig with (7.1, ad expadig the tem (1 x,wehave B (f; x = ( ( f =0 Let us put t = + s. We may wite = =0 x t=0 =0 ( 1 s ( s x s. t, (7.11 sice both double summatios i (7.11 ae ove all lattice poits (, s lyig i the tiagle show i Figue 7.1. We also have ( ( ( ( t =, s t

4 Bestei Polyomials s 0 FIGURE 7.1. A tiagula aay of 1 ( + 1( + 2 lattice poits. 2 ad so we may wite the double summatio as ( t ( ( x t ( 1 t t f = t t=0 =0 t=0 ( t t f(0 x t, o usig the expasio fo a highe-ode fowad diffeece, as i Poblem This completes the poof. I (1.80 we saw how diffeeces ae elated to deivatives, showig that m f(x 0 h m = f (m (ξ, (7.12 whee ξ (x 0,x m ad x m = x 0 + mh. Let us put h =1/, x 0 = 0, ad f(x =x k, whee k. The we have f(0 = 0 fo >k ad k k f(0 = f (k (ξ =k!. (7.13 Thus we see fom (7.10 with f(x =x k ad k that B (x k ; x =a 0 x k + a 1 x k a k 1 x + a k, say, whee a 0 = 1 fo k = 0 ad k = 1, ad ( ( k! a 0 = k k = 1 1 ( 1 2 ( 1 k 1 fo k 2. Sice a 0 1 whe k 2, this justifies ou above statemet that the Bestei opeato does ot epoduce ay polyomial of degee geate tha oe.

5 Example With f(x =x 2,wehave ( 1 f(0=0, f(0 = f f(0 = 1 2, 7.1 Itoductio 251 ad we see fom (7.13 that 2 2 f(0 = 2! fo 2. Thus it follows fom (7.10 that ( ( B (x 2 x 2x 2 ; x = = x ( x 2, which may be witte i the fom B (x 2 ; x =x x(1 x. (7.14 Thus the Bestei polyomials fo x 2 covege uifomly to x 2 like 1/, vey slowly. We will see fom Vooovskaya s Theoem that this ate of covegece holds fo all fuctios that ae twice diffeetiable. We have aleady see i (7.7 that if f(x is positive o [0, 1, so is B (f; x. We ow show that if f(x is mootoically iceasig, so is B (f; x. Theoem The deivative of the Bestei polyomial B +1 (f; x may be expessed i the fom B +1(f; x =( +1 f =0 ( ( +1 x (1 x (7.15 fo 0, whee is applied with step size h =1/( + 1. Futhemoe, if f is mootoically iceasig o mootoically deceasig o [0, 1, so ae all its Bestei polyomials. Poof. The veificatio of (7.15 is omitted because it is a special case of (7.16, coceig highe-ode deivatives of the Bestei polyomials, which we pove i the ext theoem. To justify the above emak o mootoicity, we ote that if f is mootoically iceasig, its fowad diffeeces ae oegative. It the follows fom (7.15 that B +1(f; x is oegative o [0, 1, ad so B +1 (f; x is mootoically iceasig. Similaly, we see that if f is mootoically deceasig, so is B +1 (f; x. Theoem Fo ay itege k 0, the kth deivative of B +k (f; x may be expessed i tems of kth diffeeces of f as B (k + k! +k (f; x =(! k f =0 ( + k ( x (1 x (7.16 fo all 0, whee is applied with step size h =1/( + k.

6 Bestei Polyomials Poof. We wite +k B +k (f; x = f =0 ad diffeetiate k times, givig +k +k (f; x = f B (k d s dx s x = ( ( + k + k =0 ( ( + k + k x (1 x +k p(x, (7.17 whee p(x = dk dx k x (1 x +k. We ow use the Leibiz ule (1.83 to diffeetiate the poduct of x ad (1 x +k. Fist we fid that ad d k s dx k s (1 x+k =! ( s! x s, s 0, 0, s<0, k s ( + k! ( 1 ( + s! (1 x+s, s, 0, s>. Thus the kth deivative of x (1 x +k is p(x = ( ( 1 k s k! ( + k! s ( s! ( + s! x s (1 x +s, (7.18 s whee the latte summatio is ove all s fom 0 to k, subject to the costaits 0 s. We make the substitutio t = s, so that +k = =0 s t=0 k. (7.19 A diagam may be helpful hee. The double summatios i (7.19 ae ove all lattice poits (, s lyig i the paallelogam depicted i Figue 7.2. The paallelogam is bouded by the lies s =0,s = k, t = 0, ad t =, whee t = s. We also ote that ( + k! ( + k! ( + k! = ( s! ( + s!! ( s. (7.20

7 7.1 Itoductio 253 s k 0 + k FIGURE 7.2. A paallelogam of ( + 1(k + 1 lattice poits. It the follows fom (7.17, (7.18, (7.19, ad (7.20 that the kth deivative of B +k (f; x is ( + k!! t=0 k ( ( 1 k s k s ( ( t + s f + k t x t (1 x t. Fially, we ote fom Poblem that k ( ( ( ( 1 k s k t + s t f = k f, s + k + k whee the opeato is applied with step size h =1/(+k. This completes the poof. By usig the coectio betwee diffeeces ad deivatives, we ca deduce the followig valuable esult fom Theoem Theoem If f C k [0, 1, fo some k 0, the m f (k (x M, x [0, 1 c k m B (k (f; x c k M, x [0, 1, fo all k, whee c 0 = c 1 = 1 ad ( c k = 1 1 ( 1 2 ( 1 k 1, 2 k. Poof. We have aleady see i (7.7 that this esult holds fo k =0.Fo k 1 we begi with (7.16 ad eplace by k. The, usig (7.12 with h =1/, we wite ( k f whee /<ξ < ( + k/. Thus = f (k (ξ k, (7.21 k B (k (f; x = c k f (k (ξ x (1 x k, =0

8 Bestei Polyomials ad the theoem follows easily fom the latte equatio. Oe cosequece of this esult is that if f (k (x is of fixed sig o [0, 1, the B (k (f; x also has this sig o [0, 1. Fo example, if f (x exists ad is oegative o [0, 1, so that f is covex, the B (f; x is also oegative ad B (f; x is covex. Bestei s discovey of his polyomials was based o a igeious pobabilistic agumet. Suppose we have a evet that ca be epeated ad has oly two possible outcomes, A ad B. Oe of the simplest examples is the tossig of a ubiased coi, whee the two possible outcomes, heads ad tails, both occu with pobability 0.5. Moe geeally, coside a evet whee the outcome A happes with pobability x [0, 1, ad thus the outcome B happes with pobability 1 x. The the pobability of A happeig pecisely times followed by B happeig times is x (1 x. ( Sice thee ae ways of choosig the ode of outcomes out of, the pobability of obtaiig outcomes A ad outcomes B i ay ode is give by ( p, (x = x (1 x. Thus we have ( ( +1 x p, (x = p, 1 (x, 1 x ad it follows that p, (x >p, 1 (x if ad oly if <( +1x. We deduce that p, (x, egaded as a fuctio of, with x ad fixed, has a peak whe = x x, fo lage, ad is mootoically iceasig fo < x ad mootoically deceasig fo > x. We aleady kow that p, (x =B (1; x =1, ad i the sum =0 ( p, (xf = B (f; x, =0 whee f C[0, 1 ad is lage, the cotibutios to the sum fom values of sufficietly emote fom x will be egligible, ad the sigificat pat of the sum will come fom values of close to x. Thus, fo lage, ( x B (f; x f f(x, ad so B (f; x f(x as. While this is by o meas a igoous agumet, ad is thus ot a poof, it gives some isight ito how Bestei was motivated i his seach fo a poof of the Weiestass theoem.

9 7.1 Itoductio 255 Example To illustate Bestei s agumet coceig the polyomials p,, let us evaluate these polyomials whe = 8 ad x =0.4. The esultig values of p, (x ae give i the followig table: p, (x I this case, the lagest value of p, is attaied fo = x = 3, cosistet with ou above aalysis, which shows that x x =3.2. Theoem Give a fuctio f C[0, 1 ad ay ɛ>0, thee exists a itege N such that fo all N. f(x B (f; x <ɛ, 0 x 1, Poof. I othe wods, the above statemet says that the Bestei polyomials fo a fuctio f that is cotiuous o [0, 1 covege uifomly to f o [0, 1. The followig poof is motivated by the plausible agumet that we gave above. We begi with the idetity multiply each tem by give ( ( 2 x =0 ( x 2 = ( ( 2 2 ( x + x 2, x (1 x, ad sum fom =0to, to x (1 x = B (x 2 ; x 2xB (x; x+x 2 B (1; x. It the follows fom (7.3, (7.4, ad (7.14 that ( ( 2 x =0 x (1 x = 1 x(1 x. (7.22 Fo ay fixed x [0, 1, let us estimate the sum of the polyomials p, (x ove all values of fo which / is ot close to x. To make this otio pecise, we choose a umbe δ>0ad let S δ deote the set of all values of satisfyig x δ. We ow coside the sum of the polyomials p, (x ove all S δ. Note that x δ implies that 1 δ 2 ( x 2 1. (7.23

10 Bestei Polyomials The, usig (7.23, we have S δ ( x (1 x 1 δ 2 S δ ( x 2 ( x (1 x. The latte sum is ot geate that the sum of the same expessio ove all, ad usig (7.22, we have 1 δ 2 ( ( 2 x =0 S δ x (1 x x(1 x = δ 2. Sice 0 x(1 x 1 4 o [0, 1, we have ( x (1 x 1 4δ 2. (7.24 Let us wite = =0 S δ + / S δ, whee the latte sum is theefoe ove all such that x <δ. Havig split the summatio ito these two pats, which deped o a choice of δ that we still have to make, we ae ow eady to estimate the diffeece betwee f(x ad its Bestei polyomial. Usig (7.3, we have ad hece f(x B (f; x = =0 f(x B (f; x = S δ + / S δ ( ( ( f(x f ( ( ( f(x f ( ( ( f(x f We thus obtai the iequality f(x B (f; x ( ( f(x f S δ + / S δ ( ( f(x f x (1 x, x (1 x x (1 x. x (1 x x (1 x.

11 7.1 Itoductio 257 Sice f C[0, 1, it is bouded o [0, 1, ad we have f(x M, fo some M>0. We ca theefoe wite ( f(x f 2M fo all ad all x [0, 1, ad so ( ( f(x f S δ O usig (7.24 we obtai ( ( f(x f S δ x (1 x 2M S δ ( x (1 x x (1 x. M 2δ 2. (7.25 Sice f is cotiuous, it is also uifomly cotiuous, o [0, 1. Thus, coespodig to ay choice of ɛ>0 thee is a umbe δ>0, depedig o ɛ ad f, such that / S δ x x <δ f(x f(x < ɛ 2, fo all x, x [0, 1. Thus, fo the sum ove / S δ,wehave ( ( f(x f x (1 x < ɛ ( x (1 x 2 / S δ < ɛ 2 / S δ =0 ( x (1 x, ad hece, agai usig (7.3, we fid that ( ( f(x f x (1 x < ɛ 2. (7.26 O combiig (7.25 ad (7.26, we obtai f(x B (f; x < M 2δ 2 + ɛ 2. It follows fom the lie above that if we choose N>M/(ɛδ 2, the f(x B (f; x <ɛ fo all N, ad this completes the poof. Usig the methods employed i the above poof, we ca show, with a little geate geeality, that if f is meely bouded o [0, 1, the sequece (B (f; x =1 coveges to f(x ataypoitx whee f is cotiuous. We will ow discuss some futhe popeties of the Bestei polyomials.

12 Bestei Polyomials Theoem If f C k [0, 1, fo some itege k 0, the B (k (f; x coveges uifomly to f (k (x o[0, 1. Poof. We kow fom Theoem that the above esult holds fo k =0. Fo k 1 we begi with the expessio fo B (k +k (f; x give i (7.16, ad wite ( k f = f (k (ξ + k ( + k k, whee /( + k <ξ < ( + k/( + k, as we did similaly i (7.21. We the appoximate f (k (ξ, witig We thus obtai say, whee ad S 2 (x = ( f (k (ξ =f (k ( + f (k (ξ f (k (.!( + k k B (k +k ( + k! (f; x =S 1(x+S 2 (x, (7.27 S 1 (x = ( =0 =0 ( f (k ( f (k (ξ f (k ( x (1 x ( x (1 x. I S 2 (x, we ca make ξ <δfo all, fo ay choice of δ>0, by takig sufficietly lage. Also, give ay ɛ>0, we ca choose a positive value of δ such that ( f (k (ξ f (k <ɛ, fo all, because of the uifom cotiuity of f (k.thuss 2 (x 0 uifomly o [0, 1 as. We ca easily veify that!( + k k ( + k! 1 as, ad we see fom Theoem with f (k i place of f that S 1 (x coveges uifomly to f (k (x o[0, 1. This completes the poof. As we have just see, ot oly does the Bestei polyomial fo f covege to f, but deivatives covege to deivatives. This is a most emakable popety. I cotast, coside agai the sequece of itepolatig polyomials (p fo e x that appea i Example Although this sequece of polyomials coveges uifomly to e x o [ 1, 1, this does ot

13 7.1 Itoductio 259 hold fo thei deivatives, because of the oscillatoy atue of the eo of itepolatio. O compaig the complexity of the poofs of Theoems ad 7.1.6, it may seem supisig that the additioal wok equied to complete the poof of Theoem fo k 1 is so little compaed to that eeded to pove Theoem y D A C B x 1 x 3 x 2 x FIGURE 7.3. A ad B ae the poits o the chod CD ad o the gaph of the covex fuctio y = f(x, espectively, with abscissa x 3 = λx 1 +(1 λx 2. We ow state esults coceig the Bestei polyomials fo a covex fuctio f. Fist we defie covexity ad show its coectio with secodode divided diffeeces. Defiitio A fuctio f is said to be covex o [a, b if fo ay x 1,x 2 [a, b, λf(x 1 +(1 λf(x 2 f(λx 1 +(1 λx 2 (7.28 fo ay λ [0, 1. Geometically, this is just sayig that a chod coectig ay two poits o the covex cuve y = f(x is eve below the cuve. This is illustated i Figue 7.3, whee CD is such a chod, ad the poits A ad B have y-coodiates λf(x 1 +(1 λf(x 2 ad f(λx 1 +(1 λx 2, espectively. If f is twice diffeetiable, f beig covex is equivalet to f beig oegative. Of couse, fuctios ca be covex without beig diffeetiable. Fo example, we ca have a covex polygoal ac. Theoem A fuctio f is covex o [a, b if ad oly if all secodode divided diffeeces of f ae oegative. Poof. Sice a divided diffeece is uchaged if we alte the ode of its agumets, as we see fom the symmetic fom (1.21, it suffices to coside the divided diffeece f[x 0,x 1,x 2 whee a x 0 <x 1 <x 2 b. The we obtai fom the ecuece elatio (1.22 that f[x 0,x 1,x 2 0 f[x 1,x 2 f[x 0,x 1. (7.29

14 Bestei Polyomials O multiplyig the last iequality thoughout by (x 2 x 1 (x 1 x 0, which is positive, we fid that both iequalities i (7.29 ae equivalet to (x 1 x 0 (f(x 2 f(x 1 (x 2 x 1 (f(x 1 f(x 0, which is equivalet to (x 1 x 0 f(x 2 +(x 2 x 1 f(x 0 (x 2 x 0 f(x 1. (7.30 If we ow divide thoughout by x 2 x 0 ad wite λ =(x 2 x 1 /(x 2 x 0, we see that x 1 = λx 0 +(1 λx 2, ad it follows fom (7.30 that λf(x 0 +(1 λf(x 2 f(λx 0 +(1 λx 2, thus completig the poof. The poofs of the followig two theoems ae held ove util Sectio 7.3, whee we will state ad pove geealizatios of both esults. Theoem If f(x iscovexo[0, 1, the fo all 1. Theoem If f(x is covex o[0, 1, B (f; x f(x, 0 x 1, (7.31 B 1 (f; x B (f; x, 0 x 1, (7.32 fo all 2. The Bestei polyomials ae equal at x = 0 ad x =1, sice they itepolate f at these poits. If f C[0, 1, the iequality i (7.32 is stict fo 0 <x<1, fo a give value of, uless f is liea i each of the itevals B 1 (f; x =B (f; x. [ 1 1, 1, fo 1 1, whe we have simply Note that we have fom Theoem with k = 2 that if f (x 0, ad thus f is covex o [0, 1, the B (f; x is also covex o [0, 1. I Sectio 7.3 we will establish the stoge esult that B (f; x iscovexo[0, 1, povided that f is covex o [0, 1. We coclude this sectio by statig two theoems coceed with estimatig the eo f(x B (f; x. The fist of these is the theoem due to Elizaveta V. Vooovskaya ( , which gives a asymptotic eo tem fo the Bestei polyomials fo fuctios that ae twice diffeetiable. Theoem Let f(x be bouded o [0, 1. The, fo ay x [0, 1 at which f (x exists, lim (B (f; x f(x = 1 2 x(1 xf (x. (7.33

15 See Davis [10 fo a poof of Vooovskaya s theoem. 7.1 Itoductio 261 Fially, thee is the followig esult that gives a uppe boud fo the eo f(x B (f; x i tems of the modulus of cotiuity, which we defied i Sectio 2.6. Theoem If f is bouded o [0, 1, the f B f 3 ( 1 2 ω, (7.34 whee deotes the maximum om o [0, 1. See Rivli [48 fo a poof of this theoem. Example Coside the Bestei polyomial fo f(x = x 1 2, B (f; x = 1 ( 2 =0 x (1 x. The diffeece betwee B (f; x ad f(x atx = 1 2 is ( 2 =0 = e, say. Let us ow choose to be eve. We ote that ( 1 2 ( ( = 1 ( 2 fo all, ad that the quatities o each side of the above equatio ae zeo whe = /2. It follows that 2 e = 1 ( 2 =0 /2 =2 =0 ( 1 2 (. (7.35 y x FIGURE 7.4. The fuctio f(x = x 1 o [0, 1. 2

16 Bestei Polyomials Let us split the last summatio ito two. We obtai /2 ( ( ( = 1 ( + = 1 ( 2 /2 2 /2 =0 =0 ad sice ( ( 1 =, 1, 1 we fid that /2 2 =0 ( /2 =2 =1 It the follows fom (7.35 that e = ( 1 1 ( /2 = =1 ( π +2 1, =2 1. fo lage. The last step follows o usig Stilig s fomula fo estimatig! (see Poblem This shows that f B f 0 at least as slowly as 1/ fo the fuctio f(x = x 1 2, whee deotes the maximum om o [0, 1. Poblem Show that fo all 3. B (x 3 ; x =x x(1 x(1+(3 2x, 2 Poblem Show that B (e αx ; x =(xe α/ +(1 x fo all iteges 1 ad all eal α. Poblem Deduce fom Defiitio 7.1.2, usig iductio o, that a fuctio f is covex o [a, b if ad oly if ( λ f(x f λ x, =0 fo all 0, fo all x [a, b, ad fo all λ 0 such that λ 0 + λ λ =1. Poblem Fid a fuctio f ad a eal umbe λ such that f is a polyomial of degee two ad B f = λf. Also fid a fuctio f ad a eal umbe λ such that f is a polyomial of degee thee ad B f = λf. Poblem Veify Vooovskaya s Theoem diectly fo the two fuctios x 2 ad x 3. =0

17 7.2 The Mootoe Opeato Theoem The Mootoe Opeato Theoem I the 1950s, H. Bohma [5 ad P. P. Koovki [31 obtaied a amazig geealizatio of Bestei s Theoem They foud that as fa as covegece is coceed, the cucial popeties of the Bestei opeato B ae that B f f uifomly o [0, 1 fo f =1,x, ad x 2, ad that B is a mootoe liea opeato. (See Defiitio We ow state the Bohma Koovki theoem, followed by a poof based o that give by Cheey [7. Theoem Let (L deote a sequece of mootoe liea opeatos that map a fuctio f C[a, b to a fuctio L f C[a, b, ad let L f f uifomly o [a, b fo f =1,x, ad x 2. The L f f uifomly o [a, b fo all f C[a, b. Poof. Let us defie φ t (x =(t x 2, ad coside (L φ t (t. Thus we apply the liea opeato L to φ t, egaded as a fuctio of x, ad the evaluate L φ t (which is also a fuctio of x atx = t. Sice L is liea, we obtai (L φ t (t =t 2 (L g 0 (t 2t(L g 1 (t+(l g 2 (t, whee Hece g 0 (x =1, g 1 (x =x, g 2 (x =x 2. (L φ t (t =t 2 [(L g 0 (t 1 2t[(L g 1 (t t+[(l g 2 (t t 2. O witig to deote the maximum om o [a, b, we deduce that L φ t M 2 L g 0 g 0 +2M L g 1 g 1 + L g 2 g 2, whee M = max( a, b. Sice fo i = 0, 1, ad 2, each tem L g i g i may be made as small as we please, by takig sufficietly lage, it follows that (L φ t (t 0 as, (7.36 uifomly i t. Now let f be ay fuctio i C[a, b. Give ay ɛ>0, it follows fom the uifom cotiuity of f that thee exists a δ > 0 such that fo all t, x [a, b, t x <δ f(t f(x <ɛ. (7.37 O the othe had, if t x δ, wehave f(t f(x 2 f 2 f (t x2 δ 2 = αφ t (x, (7.38

18 Bestei Polyomials say, whee α =2 f /δ 2 > 0. Note that φ t (x 0. The, fom (7.37 ad (7.38, we see that fo all t, x [a, b, f(t f(x ɛ + αφ t (x, ad so ɛ αφ t (x f(t f(x ɛ + αφ t (x. (7.39 At this stage we make use of the mootoicity of the liea opeato L.We apply L to each tem i (7.39, egaded as a fuctio of x, ad evaluate each esultig fuctio of x at the poit t, to give ɛ(l g 0 (t α(l φ t (t f(t(l g 0 (t (L f(t ɛ(l g 0 (t+α(l φ t (t. Obseve that (L φ t (t 0, sice L is mootoe ad φ t (x 0. Thus we obtai the iequality f(t(l g 0 (t (L f(t ɛ L g 0 + α(l φ t (t. (7.40 If we ow wite L g 0 =1+(L g 0 g 0, we obtai ad so deive the iequality L g 0 1+ L g 0 g 0, f(t(l g 0 (t (L f(t ɛ(1 + L g 0 g 0 +α(l φ t (t. (7.41 We ow wite f(t (L f(t =[f(t(l g 0 (t (L f(t+[f(t f(t(l g 0 (t, ad hece obtai the iequality f(t (L f(t f(t(l g 0 (t (L f(t + f(t f(t(l g 0 (t. (7.42 I (7.41 we have aleady obtaied a uppe boud fo the fist tem o the ight of (7.42, ad the secod tem satisfies the iequality f(t f(t(l g 0 (t f L g 0 g 0. (7.43 The, o substitutig the two iequalities (7.41 ad (7.43 ito (7.42, we fid that f(t (L f(t ɛ +( f + ɛ L g 0 g 0 + α(l φ t (t. (7.44 O the ight side of the above iequality we have ɛ plus two oegative quatities, each of which ca be made less tha ɛ fo all geate tha some sufficietly lage umbe N, ad so f(t (L f(t < 3ɛ,

19 7.2 The Mootoe Opeato Theoem 265 uifomly i t, fo all >N. This completes the poof. Remak If we go though the above poof agai, we ca see that the followig is a valid alteative vesio of the statemet of Theoem We will fid this helpful whe we discuss the Hemite Fejé opeato. Let (L deote a sequece of mootoe liea opeatos that map fuctios f C[a, b to fuctios L f C[a, b. The if L g 0 g 0 uifomly o [0, 1, ad (L φ t (t 0 uifomly i t o [0, 1, whee g 0 ad φ t ae defied i the poof of Theoem 7.2.1, it follows that L f f uifomly o [0, 1 fo all f C[a, b. Example We see fom Examples ad that B (1; x =1, B (x; x =x, ad B (x 2 ; x =x x(1 x. Thus B (f; x coveges uifomly to f(x o[0, 1 fo f(x =1,x, ad x 2, ad sice the Bestei opeato B is also liea ad mootoe, it follows fom the Bohma Koovki Theoem that B (f; x coveges uifomly to f(x o[0, 1 fo all f C[0, 1, as we aleady foud i Bestei s Theoem We ow ecall the Hemite itepolatig polyomial p 2+1, defied by (1.38. If we wite q 2+1 (x = [a i u i (x+b i v i (x, (7.45 i=0 whee u i ad v i ae defied i (1.39 ad (1.40, the If we ow choose q 2+1 (x i =a i, q 2+1(x i =b i, 0 i. (7.46 a i = f(x i, b i =0, 0 i, (7.47 whee the x i ae the zeos of the Chebyshev polyomial T +1 ad f is a give fuctio defied o [ 1, 1, it follows that q 2+1 (x = f(x i u i (x =(L f(x, (7.48 i=0 say, whee u i is give by (2.103, ad so (L f(x = ( 2 T+1 (x f(x i 1 x ix +1 (x x i=0 i 2. (7.49

20 Bestei Polyomials We call L the Hemite Fejé opeato. It is clea that L is a liea opeato, ad sice 0 1 x i x 2 fo 1 x 1, (7.50 fo all i, we see that L is mootoe. We also ote that L epoduces the fuctio 1, sice the deivative of 1 is zeo ad (L 1(x itepolates 1 o the Chebyshev zeos. It is also obvious that L does ot epoduce the fuctios x ad x 2, sice thei fist deivatives ae ot zeo o all the Chebyshev zeos. Let us apply L to the fuctio φ t (x =(t x 2.We obtai ( 2 T+1 (t (L φ t (t = (1 x i t, +1 i=0 ad it follows fom (7.50 that (L φ t (t 2 +1, so that (L φ t (t 0 uifomly i t o [ 1, 1. Thus, i view of the alteative statemet of Theoem 7.2.1, give i the emak followig the poof of the theoem, we deduce the followig esult as a special case of the Bohma Koovki Theoem Theoem Let (L deote the sequece of Hemite Fejé opeatos, defied by (7.49. The L f f uifomly fo all f C[ 1, 1. Theoem 7.2.2, like Bestei s Theoem 7.1.5, gives a costuctive poof of the Weiestass theoem. A diect poof of Theoem 7.2.2, which does ot explicitly use the Bohma Koovki theoem, is give i Davis [10. We will give aothe applicatio of the Bohma Koovki theoem i the ext sectio. We ca show (see Poblem that the oly liea mootoe opeato that epoduces 1, x, ad x 2, ad thus all quadatic polyomials, is the idetity opeato. This puts ito pespective the behaviou of the Bestei opeato, which epoduces liea polyomials, but does ot epoduce x 2, ad the Hemite Fejé opeato, which does ot epoduce x o x 2. Poblem Let L deote a liea mootoe opeato actig o fuctios f C[a, b that epoduces 1, x, ad x 2. Show that (L φ t (t =0, whee φ t (x =(t x 2. By wokig though the poof of Theoem show that fo a give f C[a, b, (7.40 yields f(t (Lf(t ɛ fo all t [a, b ad ay give ɛ>0. Deduce that Lf = f fo all f C[a, b, ad thus L is the idetity opeato.

21 Poblem Deduce fom Theoem that ( 2 T+1 (x 1 x i x lim +1 (x x i 2 =1, whee the x i deote the zeos of T +1. i=0 7.3 O the q-iteges O the q-iteges I view of the may iteestig popeties of the Bestei polyomials, it is ot supisig that seveal geealizatios have bee poposed. I this sectio we discuss a geealizatio based o the q-iteges, which ae defied i Sectio 1.5. Let us wite [ 1 B (f; x = f x (1 q s x (7.51 =0 fo each positive itege, whee f deotes the value of the[ fuctio f at x =[/[, the quotiet of the q-iteges [ ad [, ad deotes a q-biomial coefficiet, defied i ( Note that a empty poduct i (7.51 deotes 1. Whe we put q = 1 i (7.51, we obtai the classical Bestei polyomial, defied by (7.1, ad i this sectio we cosistetly wite B (f; x to mea the geealized Bestei polyomial, defied by (7.51. I Sectio 7.5, wheeve we eed to emphasize the depedece of the geealized Bestei polyomial o the paamete q, we will wite B(f; q x i place of B (f; x. We see immediately fom (7.51 that B (f;0=f(0 ad B (f;1=f(1, (7.52 givig itepolatio at the edpoits, as we have fo the classical Bestei polyomials. It is show i Sectio 8.2 that evey q-biomial coefficiet is a polyomial i q (called a Gaussia polyomial with coefficiets that ae all positive iteges. It is thus clea that B, defied by (7.51, is a liea opeato, ad with 0 <q<1, it is a mootoe opeato that maps fuctios defied o [0, 1 to P. The followig theoem ivolves q-diffeeces, which ae defied i Sectio 1.5. This esult yields Theoem whe q =1. Theoem The geealized Bestei polyomial may be expessed i the fom [ B (f; x = =0 whee qf j = 1 q f j+1 q 1 1 q f j, 1, with 0 qf j = f j = f([j/[. qf 0 x, (7.53

22 Bestei Polyomials Poof. Hee we equie the idetity, 1 [ (1 q s x= ( 1 s q s(s 1/2 s x s, (7.54 which is equivalet to (8.12 ad educes to a biomial expasio whe we put q = 1. Begiig with (7.51, ad expadig the tem cosistig of the poduct of the factos (1 q s x, we obtai B (f; x = [ [ f x ( 1 s q s(s 1/2 s =0 x s. Let us put t = + s. The, sice [ [ s = [ t [ t, we may wite the latte double sum as [ t [ x t ( 1 t q (t (t 1/2 t t t=0 =0 f = t=0 [ t t qf 0 x t, o usig the expasio fo a highe-ode q-diffeece, as i ( This completes the poof. We see fom (1.33 ad (1.113 that k q f(x 0 q k(k 1/2 [k! = f[x 0,x 1,...,x k = f (k (ξ, k! whee x j =[j ad ξ (x 0,x k. Thus q-diffeeces of the moomial x k of ode geate tha k ae zeo, ad we see fom Theoem that fo all k, B (x k ; x is a polyomial of degee k. We deduce fom Theoem that B (1; x =1. (7.55 Fo f(x =x we have 0 qf 0 = f 0 = 0 ad 1 qf 0 = f 1 f 0 =1/[, ad it follows fom Theoem that B (x; x =x. (7.56 Fo f(x =x 2 we have 0 qf 0 = f 0 =0, 1 qf 0 = f 1 f 0 =1/[ 2, ad 2 qf 0 = f 2 (1 + qf 1 + qf 0 = ( 2 ( 2 [2 [1 (1 + q. [ [

23 7.3 O the q-iteges 269 We the fid fom Theoem that B (x 2 ; x =x 2 + x(1 x. (7.57 [ The above expessios fo B (1; x, B (x; x, ad B (x 2 ; x geealize thei coutepats give ealie fo the case q = 1 ad, with the help of Theoem 7.2.1, lead us to the followig theoem o the covegece of the geealized Bestei polyomials. Theoem Let (q deote a sequece such that 0 <q < 1 ad q 1as. The, fo ay f C[0, 1, B (f; x coveges uifomly to f(x o[0, 1, whee B (f; x is defied by (7.51 with q = q. Poof. We saw above fom (7.55 ad (7.56 that B (f; x =f(x fo f(x =1adf(x =x, ad sice q 1as, we see fom (7.57 that B (f; x coveges uifomly to f(x fo f(x =x 2. Also, sice 0 <q < 1, it follows that B is a mootoe opeato, ad the poof is completed by applyig the Bohma Koovki Theoem We ow state ad pove the followig geealizatios of Theoems ad Theoem If f(x iscovexo[0, 1, the fo all 1 ad fo 0 <q 1. Poof. Fo each x [0, 1, let us defie B (f; x f(x, 0 x 1, (7.58 x = [ [ ad λ = [ +1 x (1 q s x, 0. We see that λ 0 whe 0 <q 1 ad x [0, 1, ad ote fom (7.55 ad (7.56, espectively, that ad λ 0 + λ λ =1 λ 0 x 0 + λ 1 x λ x = x. The we obtai fom the esult i Poblem that if f is covex o [0, 1, ( B (f; x = λ f(x f λ x = f(x, =0 ad this completes the poof. =0

24 Bestei Polyomials Theoem If f(x is covex o[0, 1, B 1 (f; x B (f; x, 0 x 1, (7.59 fo all 2, whee B 1 (f; x ad B (f; x ae evaluated usig the same value of the paamete q. The Bestei polyomials ae equal at x = 0 ad x = 1, sice they itepolate f at these poits. If f C[0, 1, the iequality i (7.59 is stict fo 0 <x<1 uless, fo a give value of, the fuctio [ [ 1 [ 1, f is liea i each of the itevals we have simply B 1 (f; x =B (f; x. [ [ 1, fo 1 1, whe Poof. I the poof give by Davis [10 fo the special case of this theoem whe q = 1, the diffeece betwee two cosecutive Bestei polyomials is expessed i tems of powes of x/(1 x. This is ot appopiate fo q 1, ad ou poof follows that give by Ouç ad Phillips [40. Fo 0 <q<1, let us wite 1 (B 1 (f; x B (f; x (1 q s x 1 1 = f =0 f =0 ( [ [ 1 [ 1 ( [ [ [ x 1 x 1 s= s= 1 (1 q s x 1. (1 q s x 1 We ow split the fist of the above summatios ito two, witig say, whee x 1 s= 1 (1 q s x 1 = ψ (x+q 1 ψ +1 (x, ψ (x =x 1 s= (1 q s x 1. (7.60 O combiig the esultig thee summatios, the tems i ψ 0 (x ad ψ (x cacel, ad we obtai whee 1 (B 1 (f; x B (f; x (1 q s x 1 = a = [ [ f ( [ [ + q [ 1 [ f 1 [ =1 ( [ 1 f [ 1 a ψ (x, (7.61 ( [. (7.62 [

25 7.3 O the q-iteges 271 It is clea fom (7.60 that each ψ (x is oegative o [0, 1 fo 0 q 1, ad thus fom (7.61, it will suffice to show that each a is oegative. Let us wite [ λ =, x 1 = [ [ [ 1, ad x [ 1 2 = [ 1. It the follows that [ 1 λ = q [ ad λx 1 +(1 λx 2 = [ [, ad we see immediately, o compaig (7.62 ad (7.28, that a = λf(x 1 +(1 λf(x 2 f(λx 1 +(1 λx 2 0, ad so B 1 (f; x B (f; x. We obviously have equality at x = 0 ad x = 1, sice all Bestei polyomials itepolate f at these edpoits. The iequality will be stict fo 0 <x<1 uless evey a is zeo; this ca occu oly whe f is liea i each of the itevals betwee cosecutive poits [/[ 1, 0 1, whe we have B 1 (f; x =B (f; x fo 0 <x<1. This completes the poof. We ow give a algoithm, fist published i 1996 (see Phillips [42, fo evaluatig the geealized Bestei polyomials. Whe q = 1 it educes to the well-kow de Casteljau algoithm (see Hoschek ad Lasse [26 fo evaluatig the classical Bestei polyomials. Algoithm This algoithm begis with the value of q ad the values of f at the + 1 poits [/[, 0, ad computes B (f; x =f [ 0, which is the fial umbe geeated by the algoithm. iput: q; f([0/[,f([1/[,...,f([/[ fo =0to f [0 := f([/[ ext fo m =1to fo =0to m f [m ext ext m output: := (q q m 1 xf [m 1 f [ 0 = B (f; x + xf [m 1 +1 The followig theoem justifies the above algoithm. Theoem Fo 0 m ad 0 m, wehave f [m = m [ m f +t t t=0 m t 1 x t (q q s x, (7.63

26 Bestei Polyomials ad, i paticula, f [ 0 = B (f; x. (7.64 Poof. We use iductio o m. Fom the iitial coditios i the algoithm, f [0 := f([/[ = f, 0, it is clea that (7.63 holds fo m =0 ad 0. Note that a empty poduct i (7.63 deotes 1. Let us assume that (7.63 holds fo some m such that 0 m<, ad fo all such that 0 m. The, fo 0 m 1, it follows fom the algoithm that f [m+1 =(q q m xf [m + xf [m +1, ad usig (7.63, we obtai f [m+1 =(q q m x + x m [ m f +t t t=0 m [ m f +t+1 t t=0 m t 1 x t (q q s x m t 1 x t (q +1 q s x. The coefficiet of f o the ight of the latte equatio is m 1 (q q m x (q q s x= m (q q s x, ad the coefficiet of f +m+1 is x m+1. Fo 1 t m, we fid that the coefficiet of f +t is [ (q q m m x t m t 1 [ x t (q q s x+ m t 1 = a t x t (q q s x, m t 1 m t x t (q +1 q s x say. We see that [ a t =(q q m m x t [ + q m t (q +1 x m t 1 ad hece a t = q ([ m t + q m+1 t [ m t 1 ( [ q m t x q t m t [ + m t 1. It is easily veified (see (8.7 ad (8.8 that [ [ [ [ m + q m+1 t m = q t m + t t 1 t m t 1 = [ m +1 t

27 ad thus [ a t =(q q m t m +1 x t 7.3 O the q-iteges 273 Hece the coefficiet of f +t, fo 1 t m, i the above expessio fo f [m+1 is [ m t m +1 x t (q q s x, t ad we ote that this also holds fo t = 0 ad t = m + 1. Thus we obtai. m+1 [ f [m+1 m +1 = f +t t t=0 m t x t (q q s x, ad this completes the poof by iductio. The above algoithm fo evaluatig B (f; x is ot ulike Algoithm (Neville Aitke. I the latte algoithm, each quatity that is computed is, like the fial esult, a itepolatig polyomial o cetai abscissas. Similaly, i Algoithm 7.3.1, as we see i (7.63, each itemediate umbe f [m has a fom that esembles that of the fial umbe f [ 0 = B (f; x. We ow show that each f [m ca also be expessed simply i tems of q-diffeeces, as we have fo B (f; x i (7.53. Theoem Fo 0 m ad 0 m, wehave f [m = m [ q (m s m s s qf x s. (7.65 Poof. We may veify (7.65 by iductio o m, usig the ecuece elatio i Algoithm Alteatively, we ca deive (7.65 fom (7.63 as follows. Fist we wite m t 1 m t 1 (q q s x=q (m t (1 q s y, whee y = x/q, ad we fid with the aid of (7.54 that m t 1 m t [ (q q s x= ( 1 j q j(j 1/2+(m t j m t j j=0 x j. O substitutig this ito (7.63, we obtai f [m = m [ m f +t t t=0 m t [ x t ( 1 j q j(j 1/2+(m t j m t j j=0 x j.

28 Bestei Polyomials If we ow let s = j + t, we may ewite the above double summatio as m [ q (m s m s [ x s ( 1 j q j(j 1/2 s f s j +s j, j=0 which, i view of (1.121, gives m [ f [m = q (m s m s ad this completes the poof. s qf x s, Poblem Veify (7.65 diectly by iductio o m, usig the ecuece elatio i Algoithm Poblem Wok though Algoithm fo the case = 2, ad so veify diectly that f [2 0 = B 2 (f; x. 7.4 Total Positivity We begi this sectio by defiig a totally positive matix, ad discuss the atue of liea tasfomatios whe the matix is totally positive. We will apply these ideas i Sectio 7.5 to justify futhe popeties of the Bestei polyomials coceed with shape, such us covexity. Defiitio A eal matix A is called totally positive if all its mios ae oegative, that is, ( a i1,j 1 a i1,j k i1,i A 2,...,i k = det j 1,j 2,...,j k.. 0, (7.66 a ik,j 1 a ik,j k fo all i 1 <i 2 < <i k ad all j 1 <j 2 < <j k. We say that A is stictly totally positive if all its mios ae positive, so that is eplaced by > i (7.66. It follows, o puttig k = 1 i (7.66, that a ecessay coditio fo a matix to be totally positive is that all its elemets ae oegative. Theoem A eal matix A =(a ij is totally positive if ( i, i +1,...,i+ k A 0 fo all i, j, ad k. (7.67 j, j +1,...,j+ k Similaly, the matix A is stictly totally positive if the mios give i (7.67, which ae fomed fom cosecutive ows ad colums, ae all positive.

29 7.4 Total Positivity 275 Fo a poof, see Kali [28. I view of Theoem 7.4.1, we ca detemie whethe A is totally positive o stictly totally positive by testig the positivity of oly those mios that ae fomed fom cosecutive ows ad colums, athe tha havig to examie all mios. Example Let us coside the Vademode matix 1 x 0 x 2 0 x 0 1 x 1 x 2 1 x 1 V = V(x 0,...,x = ( x x 2 x As we showed i Chapte 1 (see Poblem 1.1.1, det V(x 0,...,x = i>j(x i x j. (7.69 Let 0 <x 0 <x 1 < <x. The we see fom (7.69 that det V > 0, ad we ow pove that V is stictly totally positive. Usig Theoem 7.4.1, it is sufficiet to show that the mios det x j i x j+1 i x j+k i x j i+1 x j+1 i+1 x j+k i+1... x j i+k x j+1 i+k x j+k i+k ae positive fo all oegative i, j, k such that i+k, j+k. O emovig commo factos fom its ows, the above detemiat may be expessed as (x i x i+k j det V(x i,...,x i+k > 0, sice det V(x i,...,x i+k = (x s x > 0. i <s i+k This completes the poof that V is stictly totally positive. If A = BC, whee A, B, ad C deote matices of odes m, m k, ad k, espectively, the ( ( ( i1,...,i A p = i1,...,i B p β1,...,β C p. (7.70 j 1,...,j p β 1< <β p β 1,...,β p j 1,,j p This is kow as the Cauchy Biet detemiat idetity. It follows immediately fom this most useful idetity that the poduct of totally positive matices is a totally positive matix, ad the poduct of stictly totally positive matices is a stictly totally positive matix.

30 Bestei Polyomials Defiitio Let v deote the sequece (v i, which may be fiite o ifiite. The we deote by S (v the umbe of stict sig chages i the sequece v. Fo example, S (1, 2, 3, 4, 5, 6 = 5, S (1, 0, 0, 1, 1 = 1, ad S (1, 1, 1, 1, 1, 1,...=, whee the last sequece alteates +1 ad 1 idefiitely. It is clea that isetig zeos ito a sequece, o deletig zeos fom a sequece, does ot alte the umbe of chages of sig. Also, deletig tems of a sequece does ot icease the umbe of chages of sig. We use the same otatio to deote sig chages i a fuctio. Defiitio Let v i = a ik u k, k=0 i =0, 1,...,m, whee the u k ad the a ik, ad thus the v i, ae all eal. This liea tasfomatio is said to be vaiatio-dimiishig if S (v S (u. Defiitio A matix A, which may be fiite o ifiite, is said to be m-baded if thee exists a itege l such that a ij 0 implies that l j i l + m. This is equivalet to sayig that all the ozeo elemets of A lie o m + 1 diagoals. We will say that a matix A is baded if it is m-baded fo some m. Note that evey fiite matix is baded. We have aleady met 1-baded ad 2-baded (tidiagoal matices i Chapte 6. I this sectio we will be paticulaly iteested i 1-baded matices, also called bidiagoal matices, because of Theoem below. We ow come to the fist of the mai esults of this sectio. Theoem If T is a totally positive baded matix ad v is ay vecto fo which Tv is defied, the S (Tv S (v. Fo a poof of this theoem see Goodma [22. Whe we fist ecoute it, the questio of whethe a liea tasfomatio is vaiatio-dimiishig may ot seem vey iteestig. Howeve, buildig o the cocept of a vaiatio-dimiishig liea tasfomatio, we will see i Sectio 7.5 that the umbe of sig chages i a fuctio f defied o [0, 1 is ot iceased if we apply a Bestei opeato, ad we say that Bestei opeatos ae shape-pesevig. This popety does ot always hold, fo example, fo itepolatig opeatos.

31 7.4 Total Positivity 277 Example Let v deote a ifiite eal sequece fo which S (v is fiite. Coside the sequece w =(w i i=0 defied by w i = v i + v i 1 fo i 1, ad w 0 = v 0. The w = Tv, whee T = Let us coside the mios of T costucted fom cosecutive ows ad colums. Ay such mio whose leadig (top left elemet is 0 has eithe a whole ow o a whole colum of zeos, ad so the mio is zeo. It is also ot had to see that ay mio costucted fom cosecutive ows ad colums whose leadig elemet is 1 has itself the value 1. Thus, by Theoem 7.4.1, the matix T is totally positive, ad so we deduce fom Theoem that S (w =S (Tv S (v. Theoem A fiite matix is totally positive if ad oly if it is a poduct of 1-baded matices with oegative elemets. Fo a poof of this theoem, see de Boo ad Pikus [13. A immediate cosequece of Theoem is that the poduct of totally positive matices is totally positive, as we have aleady deduced above fom the Cauchy Biet idetity. Example To illustate Theoem 7.4.3, coside the 1-baded factoizatio = The fou matices i the above poduct ae ideed all 1-baded matices with oegative elemets, ad thei poduct is totally positive. We ow state a theoem, ad give a elated example, coceig the factoizatio of a matix ito the poduct of lowe ad uppe tiagula matices. Theoem A matix A is stictly totally positive if ad oly if it ca be expessed i the fom A = LU whee L is a lowe tiagula matix, U is a uppe tiagula matix, ad both L ad U ae totally positive matices.

32 Bestei Polyomials Fo a poof, see Cye [9. Example To illustate Theoem 7.4.4, we cotiue Example 7.4.3, i which the matix A = is expessed as a poduct of fou 1-baded matices. If we multiply the fist two of these 1-baded matices, ad also multiply the thid ad fouth, we obtai the LU factoizatio A = = LU, ad it is easy to veify that L ad U ae both totally positive. The matix A i Example is the 3 3 Vademode matix V(1, 2, 3. I Sectio 1.2 we gave (see Theoem the LU factoizatio of the geeal Vademode matix. Example Let A = The we ca easily veify that A is totally positive, ad it is obviously ot stictly totally positive. We give two diffeet LU factoizatios of A: A = LU = , whee L is totally positive but U is ot, ad A = LU = whee both L ad U ae totally positive. This example shows that we caot eplace stictly totally positive by totally positive i the statemet of Theoem Defiitio Fo a eal-valued fuctio f o a iteval I, we defie S (f to be the umbe of sig chages of f, that is, S (f = sup S (f(x 0,...,f(x m, whee the supemum is take ove all iceasig sequeces (x 0,...,x m i I, fo all m.,

33 7.4 Total Positivity 279 Defiitio We say that a sequece (φ 0,...,φ of eal-valued fuctios o a iteval I is totally positive if fo ay poits 0 <x 0 < <x i I, the collocatio matix (φ j (x i i,j=0 is totally positive. Theoem Let ψ i (x =ω(xφ i (x, fo 0 i. The, if ω(x 0 o I ad the sequece of fuctios (φ 0,...,φ is totally positive o I, the sequece (ψ 0,...,ψ is also totally positive o I. Poof. This follows easily fom the defiitios. Theoem If (φ 0,...,φ is totally positive o I, the fo ay umbes a 0,...,a, S (a 0 φ + + a φ S (a 0,...,a. Fo a poof of this theoem see Goodma [22. Defiitio Let L deote a liea opeato that maps each fuctio f defied o a iteval [0, 1 oto Lf defied o [0, 1. The we say that L is vaiatio-dimiishig if S (Lf S (f. Poblem Show that a matix has (2 1 2 mios, of which ( +1 2 ae fomed fom cosecutive ows ad colums. How may mios ae thee i these two categoies fo a m matix? Poblem Show that the matix a 0 a 1 a 2 a 3 a 4 0 a 0 a 1 a 2 a a 0 a 1 a a 0 a a 0 is totally positive, whee a i 0 fo all i, ad a 2 i a i 1a i+1 0 fo 1 i 3. Poblem Let v deote a ifiite eal sequece fo which S (v is fiite. Coside the sequece w defied by w = Show that S (w S (v. v s fo 0.

34 Bestei Polyomials Poblem Repeat Poblem with the sequece w defied by ( w = v s s fo 0, agai showig that S (w S (v. Poblem Show that the matix (x 0 + t 0 1 (x 0 + t x 0 (x 1 + t 0 1 (x 1 + t x 1 (x 2 + t 0 1 (x 2 + t x 2 (x 3 + t 0 1 (x 3 + t x 3 is totally positive if 0 <x 0 <x 1 <x 2 <x 3 ad 0 <t 0 <t Futhe Results This sectio is based o the wok of Goodma, Ouç ad Phillips [23. We will use the theoy of total positivity, developed i the last sectio, to justify shape-pesevig popeties of the geealized Bestei polyomials. We will also show that if a fuctio f is covex o [0, 1, the fo each x i [0, 1 the geealized Bestei polyomial B (f; x appoaches f(x mootoically fom above as the paamete q iceases, fo 0 <q 1. I the last sectio we saw that fo 0 <x 0 <x 1 < <x, the Vademode matix V(x 0,...,x is stictly totally positive. It the follows fom Defiitio that the sequece of moomials (x i i=0 is totally positive o ay iteval [0,. We ow make the chage of vaiable t = x/(1 x, ad ote that t is a iceasig fuctio of x. Thus, if t i = x i /(1 x i, ad we ow let 0 <x 0 <x 1 < <x < 1, it follows that 0 <t 0 <t 1 < <t. Sice the Vademode matix V(t 0,...,t is stictly totally positive, it follows that the sequece of fuctios ( x 1, 1 x, x 2 (1 x 2,..., x (1 x is totally positive o [0, 1. We also see fom Theoem that the sequece of fuctios ( (1 x,x(1 x 1,x 2 (1 x 2,...,x 1 (1 x,x (7.71 is totally positive o [0, 1. Sice the + 1 fuctios i the sequece (7.71 ae a basis fo P, the subspace of polyomials of degee at most, they ae a basis fo all the classical Bestei polyomials of degee, defied by (7.1, ad we ca immediately deduce the followig poweful esult fom Theoem

35 7.5 Futhe Results 281 Theoem Let B (f; x deote the classical Bestei polyomial of degee fo the fuctio f. The S (B f S (f (7.72 fo all f defied o [0, 1, ad thus the classical Bestei opeato B is vaiatio-dimiishig. Poof. Usig Theoem 7.4.6, we have S (B f S (f 0,f 1,...,f S (f, whee f = f(/. Fo each q such that 0 <q 1, ad each 1, we ow defie j 1 P q,j (x =xj (1 q s x, 0 x 1, (7.73 fo 0 j. These fuctios ae a basis fo P, ad ae thus a basis fo all the geealized Bestei polyomials of degee, defied by (7.51. We have aleady see above that (P,0,P 1,1,...,P 1, 1 is totally positive o [0, 1, ad we will show below that the same holds fo (P q,0,pq,1,...,pq,, fo ay q such that 0 <q 1. Sice the fuctios defied i (7.73 ae a basis fo P, it follows that fo ay choice of q ad satisfyig 0 <q, 1, thee exists a osigula matix T,q, such that P q,0 (x. P,(x q P,0(x = T,q,. P,(x. (7.74 Theoem Fo 0 <q 1 all elemets of the matix T,q, ae oegative. Poof. We use iductio o. Sice T 1,q, is the 2 2 idetity matix, its elemets ae obviously oegative. Let us assume that the elemets of T,q, ae all oegative fo some 1. The, sice P q +1,j+1 (x =xp q,j (x, 0 j, (7.75 fo all q such that 0 <q 1, we see fom (7.75 ad (7.74 that P q +1,1 (x P +1,1(x. = T,q,.. (7.76 P q +1,+1 (x P+1,+1(x

36 Bestei Polyomials Also, we have P q +1,0 (x =(1 q xp q,0 (x =(1 q x j=0 t,q, 0,j P,j(x, (7.77 whee (t,q, 0,0,t,q, 0,1,...,t,q, 0, deotes the fist ow of the matix T,q,. If we ow substitute (1 q xp,j(x =P +1,j(x+( j q P +1,j+1(x i the ight side of (7.77 ad simplify, we obtai P q +1,0,q, (x =t 0,0 P +1,0(x+(1 q t,q, 0, P +1,+1(x ( + ( +1 j q t,q, 0,j 1 + t,q, 0,j P +1,j (x. (7.78 j=1 The, o combiig (7.76 ad (7.78, we fid that P q +1,0 (x P q +1,1 (x t,q, 0,0 v T +1. = P q +1,+1 (x 0 T,q, so that P +1,0(x P +1,1(x. P +1,+1(x, (7.79 t,q, 0,0 v T +1 T +1,q, =. ( T,q, I the block matix o the ight side of ( deotes the zeo vecto with + 1 elemets, ad v T +1 is the ow vecto whose elemets ae the coefficiets of P +1,1(x,...,P +1,+1(x, give by (7.78. O substitutig x = 0 i (7.80, it is clea that t,q, 0,0 = 1. We ca deduce fom (7.78 that if 0 <q 1, the elemets of v T +1 ae oegative, ad this completes the poof by iductio. It follows fom (7.80 ad the defiitio of v T +1 that t +1,q, 0,0 = t,q, 0,0 (7.81 ad t +1,q, 0,j =( +1 j q t,q, 0,j 1 + t,q, 0,j, 1 j. (7.82 We will equie this ecuece elatio, which expesses the elemets i the fist ow of T +1,q, i tems of those i the fist ow of T,q,,i the poof of ou ext theoem. This shows that the tasfomatio matix T,q, ca be factoized as a poduct of 1-baded matices. Fist we equie the followig lemma.

37 7.5 Futhe Results 283 Lemma Fo m 1 ad ay eal ad a, let A(m, a deote the m (m + 1 matix 1 m a 1 m 1 a 1 a. The A(m, aa(m +1, b=a(m, ba(m +1, a. (7.83 Poof. Fo i =0,...,m 1 the ith ow of each side of (7.83 is [ 0,...,0, 1, m+1 i + m i a b, ( m i a( m i b, 0,...,0. Fo 1 j 1, let B ( j deote the 1-baded ( +1 ( + 1 matix that has uits o the mai diagoal, ad has the elemets j q j, j 1 q j,..., q j, 0,...,0 o the diagoal above the mai diagoal, whee thee ae j zeos at the lowe ed of that diagoal. Thus, fo example, B ( 2 = The matix B (+1 j B ( j ad 1 2 q 2 1 q 2 ca be expessed i a block fom ivolvig the matix. We ca veify that B (+1 1 = B (+1 j+1 = 1 1 ct I ct j 0 B ( j 1. (7.84 (7.85 fo 1 j 1, whee each c T j is a ow vecto, 0 deotes the zeo vecto, ad I is the uit matix of ode +1.

38 Bestei Polyomials Theoem Fo 2 ad ay q,, wehave T,q, = B ( 1 B( 2 B ( 1, (7.86 whee B ( j is the 1-baded matix defied above. Poof. We use iductio o. Fo all 2 let It is easily veified that S,q, = B ( 1 B( 2 B ( 1. (7.87 T 2,q, = S 2,q, = B (2 1 = 1 q Let us assume that fo some 2, T,q, = S,q,. It follows fom (7.84 ad (7.85 that S +1,q, = 1 ct 0 1 ct 1 1 ct 1. ( I 0 B ( 1. 0 B ( 1 If we cay out the multiplicatio of the block matices o the ight of (7.88, the, usig (7.86, we see that S +1,q, = 1 dt, 0 T,q, whee d T is a ow vecto. Thus it emais oly to veify that the fist ows of T +1,q, ad S +1,q, ae equal. Let us deote the fist ow of S,q, by [ s,q, 0,0,s,q, 0,1,...,s,q, 0,. We will show that s,q, 0, = 0. Let us examie the poduct of the 1 matices o the ight of (7.87. We ca show by iductio o j that fo 1 j 1, the poduct B ( 1 B( 2 B ( j is j-baded, whee the ozeo elemets ae o the mai diagoal ad the j diagoals above the mai diagoal. (See Poblem Thus S,q, is ( 1-baded, ad so the last elemet i its fist ow, s,q, 0,, is zeo. Now let us wite the matix B (+1 j i the block fom B (+1 j = A(j, q+1 j O, C j D j

39 7.5 Futhe Results 285 whee A(j, q +1 j isthej (j + 1 matix defied i Lemma 7.5.1, O is the j ( +1 j zeo matix, C j is ( +2 j (j + 1, ad D j is ( +2 j ( +1 j. Thus B (+1 1 B (+1 2 B (+1 j = A(1,q A(j, q +1 j 0 T, (7.89 whee A(1,q A(j, q +1 j is1 (j + 1 ad 0 T is the zeo vecto with +1 j elemets. I paticula, o puttig j = i (7.89, we see fom (7.87 that the fist ow of S +1,q, is [ A(1,q A(2,q 1 A( 1,q 2 A(, q, 0 = [ w T, 0, (7.90 say, whee w T is a ow vecto with + 1 elemets. (We ote i passig that this cofims ou ealie obsevatio that the last elemet of the fist ow of S +1,q, is zeo. I view of Lemma 7.5.1, we may pemute the quatities q,q 1,...,q i (7.90, leavig w T uchaged. I paticula, we may wite w T = A(1,q 1 A(2,q 2 A( 1,qA(, q. (7.91 Now, by compaiso with (7.90, the poduct of the fist 1 matices i (7.91 is the ow vecto cotaiig the fist elemets i the fist ow of S,q,, ad thus w T =[s,q, 0,0,...,s,q, 0, 1 =[t,q, 0,0,...,t,q, 0, 1 F j G j 1 q q 1 q q This gives s +1,q, 0,0 = t,q, 0,0 ad s +1,q, 0,j =( +1 j q t,q, 0,j 1 + t,q, 0,j, 1 j, whee we ote that t,q, 0, = 0. It the follows fom (7.81 ad (7.82 that s +1,q, 0,j = t +1,q, 0,j, 0 j, ad sice s +1,q, 0,+1 =0=t +1,q, 0,+1, (7.86 holds fo + 1. This completes the poof. If 0 <q 1 1, all elemets i the 1-baded matices B ( j o the ight of (7.86 ae oegative. The, fom Theoem 7.4.3, we immediately have the followig esult coceig the total positivity of T,q,..

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method CHAPTER 5 : SERIES 5.1 Seies 5. The Sum of a Seies 5..1 Sum of Powe of Positive Iteges 5.. Sum of Seies of Patial Factio 5..3 Diffeece Method 5.3 Test of covegece 5.3.1 Divegece Test 5.3. Itegal Test 5.3.3

More information

Using Difference Equations to Generalize Results for Periodic Nested Radicals

Using Difference Equations to Generalize Results for Periodic Nested Radicals Usig Diffeece Equatios to Geealize Results fo Peiodic Nested Radicals Chis Lyd Uivesity of Rhode Islad, Depatmet of Mathematics South Kigsto, Rhode Islad 2 2 2 2 2 2 2 π = + + +... Vieta (593) 2 2 2 =

More information

Conditional Convergence of Infinite Products

Conditional Convergence of Infinite Products Coditioal Covegece of Ifiite Poducts William F. Tech Ameica Mathematical Mothly 106 1999), 646-651 I this aticle we evisit the classical subject of ifiite poducts. Fo stadad defiitios ad theoems o this

More information

Lecture 24: Observability and Constructibility

Lecture 24: Observability and Constructibility ectue 24: Obsevability ad Costuctibility 7 Obsevability ad Costuctibility Motivatio: State feedback laws deped o a kowledge of the cuet state. I some systems, xt () ca be measued diectly, e.g., positio

More information

( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to

( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to Compaiso Fuctios I this lesso, we study stability popeties of the oautoomous system = f t, x The difficulty is that ay solutio of this system statig at x( t ) depeds o both t ad t = x Thee ae thee special

More information

Counting Functions and Subsets

Counting Functions and Subsets CHAPTER 1 Coutig Fuctios ad Subsets This chapte of the otes is based o Chapte 12 of PJE See PJE p144 Hee ad below, the efeeces to the PJEccles book ae give as PJE The goal of this shot chapte is to itoduce

More information

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences Chapte : Theoy of Modula Aithmetic 8 Sectio D Chiese Remaide Theoem By the ed of this sectio you will be able to pove the Chiese Remaide Theoem apply this theoem to solve simultaeous liea cogueces The

More information

Auchmuty High School Mathematics Department Sequences & Series Notes Teacher Version

Auchmuty High School Mathematics Department Sequences & Series Notes Teacher Version equeces ad eies Auchmuty High chool Mathematics Depatmet equeces & eies Notes Teache Vesio A sequece takes the fom,,7,0,, while 7 0 is a seies. Thee ae two types of sequece/seies aithmetic ad geometic.

More information

Finite q-identities related to well-known theorems of Euler and Gauss. Johann Cigler

Finite q-identities related to well-known theorems of Euler and Gauss. Johann Cigler Fiite -idetities elated to well-ow theoems of Eule ad Gauss Joha Cigle Faultät fü Mathemati Uivesität Wie A-9 Wie, Nodbegstaße 5 email: oha.cigle@uivie.ac.at Abstact We give geealizatios of a fiite vesio

More information

On a Problem of Littlewood

On a Problem of Littlewood Ž. JOURAL OF MATHEMATICAL AALYSIS AD APPLICATIOS 199, 403 408 1996 ARTICLE O. 0149 O a Poblem of Littlewood Host Alze Mosbache Stasse 10, 51545 Waldbol, Gemay Submitted by J. L. Bee Received May 19, 1995

More information

= 5! 3! 2! = 5! 3! (5 3)!. In general, the number of different groups of r items out of n items (when the order is ignored) is given by n!

= 5! 3! 2! = 5! 3! (5 3)!. In general, the number of different groups of r items out of n items (when the order is ignored) is given by n! 0 Combiatoial Aalysis Copyight by Deiz Kalı 4 Combiatios Questio 4 What is the diffeece betwee the followig questio i How may 3-lette wods ca you wite usig the lettes A, B, C, D, E ii How may 3-elemet

More information

BINOMIAL THEOREM An expression consisting of two terms, connected by + or sign is called a

BINOMIAL THEOREM An expression consisting of two terms, connected by + or sign is called a BINOMIAL THEOREM hapte 8 8. Oveview: 8.. A epessio cosistig of two tems, coected by + o sig is called a biomial epessio. Fo eample, + a, y,,7 4 5y, etc., ae all biomial epessios. 8.. Biomial theoem If

More information

a) The average (mean) of the two fractions is halfway between them: b) The answer is yes. Assume without loss of generality that p < r.

a) The average (mean) of the two fractions is halfway between them: b) The answer is yes. Assume without loss of generality that p < r. Solutios to MAML Olympiad Level 00. Factioated a) The aveage (mea) of the two factios is halfway betwee them: p ps+ q ps+ q + q s qs qs b) The aswe is yes. Assume without loss of geeality that p

More information

KEY. Math 334 Midterm II Fall 2007 section 004 Instructor: Scott Glasgow

KEY. Math 334 Midterm II Fall 2007 section 004 Instructor: Scott Glasgow KEY Math 334 Midtem II Fall 7 sectio 4 Istucto: Scott Glasgow Please do NOT wite o this exam. No cedit will be give fo such wok. Rathe wite i a blue book, o o you ow pape, pefeably egieeig pape. Wite you

More information

BINOMIAL THEOREM NCERT An expression consisting of two terms, connected by + or sign is called a

BINOMIAL THEOREM NCERT An expression consisting of two terms, connected by + or sign is called a 8. Oveview: 8.. A epessio cosistig of two tems, coected by + o sig is called a biomial epessio. Fo eample, + a, y,,7 4, etc., ae all biomial 5y epessios. 8.. Biomial theoem BINOMIAL THEOREM If a ad b ae

More information

Multivector Functions

Multivector Functions I: J. Math. Aal. ad Appl., ol. 24, No. 3, c Academic Pess (968) 467 473. Multivecto Fuctios David Hestees I a pevious pape [], the fudametals of diffeetial ad itegal calculus o Euclidea -space wee expessed

More information

The Pigeonhole Principle 3.4 Binomial Coefficients

The Pigeonhole Principle 3.4 Binomial Coefficients Discete M athematic Chapte 3: Coutig 3. The Pigeohole Piciple 3.4 Biomial Coefficiets D Patic Cha School of Compute Sciece ad Egieeig South Chia Uivesity of Techology Ageda Ch 3. The Pigeohole Piciple

More information

MATH Midterm Solutions

MATH Midterm Solutions MATH 2113 - Midtem Solutios Febuay 18 1. A bag of mables cotais 4 which ae ed, 4 which ae blue ad 4 which ae gee. a How may mables must be chose fom the bag to guaatee that thee ae the same colou? We ca

More information

THE ANALYTIC LARGE SIEVE

THE ANALYTIC LARGE SIEVE THE ANALYTIC LAGE SIEVE 1. The aalytic lage sieve I the last lectue we saw how to apply the aalytic lage sieve to deive a aithmetic fomulatio of the lage sieve, which we applied to the poblem of boudig

More information

Ch 3.4 Binomial Coefficients. Pascal's Identit y and Triangle. Chapter 3.2 & 3.4. South China University of Technology

Ch 3.4 Binomial Coefficients. Pascal's Identit y and Triangle. Chapter 3.2 & 3.4. South China University of Technology Disc ete Mathem atic Chapte 3: Coutig 3. The Pigeohole Piciple 3.4 Biomial Coefficiets D Patic Cha School of Compute Sciece ad Egieeig South Chia Uivesity of Techology Pigeohole Piciple Suppose that a

More information

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P.

Progression. CATsyllabus.com. CATsyllabus.com. Sequence & Series. Arithmetic Progression (A.P.) n th term of an A.P. Pogessio Sequece & Seies A set of umbes whose domai is a eal umbe is called a SEQUENCE ad sum of the sequece is called a SERIES. If a, a, a, a 4,., a, is a sequece, the the expessio a + a + a + a 4 + a

More information

9.7 Pascal s Formula and the Binomial Theorem

9.7 Pascal s Formula and the Binomial Theorem 592 Chapte 9 Coutig ad Pobability Example 971 Values of 97 Pascal s Fomula ad the Biomial Theoem I m vey well acquaited, too, with mattes mathematical, I udestad equatios both the simple ad quadatical

More information

FIXED POINT AND HYERS-ULAM-RASSIAS STABILITY OF A QUADRATIC FUNCTIONAL EQUATION IN BANACH SPACES

FIXED POINT AND HYERS-ULAM-RASSIAS STABILITY OF A QUADRATIC FUNCTIONAL EQUATION IN BANACH SPACES IJRRAS 6 () July 0 www.apapess.com/volumes/vol6issue/ijrras_6.pdf FIXED POINT AND HYERS-UAM-RASSIAS STABIITY OF A QUADRATIC FUNCTIONA EQUATION IN BANACH SPACES E. Movahedia Behbaha Khatam Al-Abia Uivesity

More information

MATH /19: problems for supervision in week 08 SOLUTIONS

MATH /19: problems for supervision in week 08 SOLUTIONS MATH10101 2018/19: poblems fo supevisio i week 08 Q1. Let A be a set. SOLUTIONS (i Pove that the fuctio c: P(A P(A, defied by c(x A \ X, is bijective. (ii Let ow A be fiite, A. Use (i to show that fo each

More information

DANIEL YAQUBI, MADJID MIRZAVAZIRI AND YASIN SAEEDNEZHAD

DANIEL YAQUBI, MADJID MIRZAVAZIRI AND YASIN SAEEDNEZHAD MIXED -STIRLING NUMERS OF THE SEOND KIND DANIEL YAQUI, MADJID MIRZAVAZIRI AND YASIN SAEEDNEZHAD Abstact The Stilig umbe of the secod id { } couts the umbe of ways to patitio a set of labeled balls ito

More information

SOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES

SOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES #A17 INTEGERS 9 2009), 181-190 SOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES Deick M. Keiste Depatmet of Mathematics, Pe State Uivesity, Uivesity Pak, PA 16802 dmk5075@psu.edu James A. Selles Depatmet

More information

Greatest term (numerically) in the expansion of (1 + x) Method 1 Let T

Greatest term (numerically) in the expansion of (1 + x) Method 1 Let T BINOMIAL THEOREM_SYNOPSIS Geatest tem (umeically) i the epasio of ( + ) Method Let T ( The th tem) be the geatest tem. Fid T, T, T fom the give epasio. Put T T T ad. Th will give a iequality fom whee value

More information

On composite conformal mapping of an annulus to a plane with two holes

On composite conformal mapping of an annulus to a plane with two holes O composite cofomal mappig of a aulus to a plae with two holes Mila Batista (July 07) Abstact I the aticle we coside the composite cofomal map which maps aulus to ifiite egio with symmetic hole ad ealy

More information

Technical Report: Bessel Filter Analysis

Technical Report: Bessel Filter Analysis Sasa Mahmoodi 1 Techical Repot: Bessel Filte Aalysis 1 School of Electoics ad Compute Sciece, Buildig 1, Southampto Uivesity, Southampto, S17 1BJ, UK, Email: sm3@ecs.soto.ac.uk I this techical epot, we

More information

Some Integral Mean Estimates for Polynomials

Some Integral Mean Estimates for Polynomials Iteatioal Mathematical Foum, Vol. 8, 23, o., 5-5 HIKARI Ltd, www.m-hikai.com Some Itegal Mea Estimates fo Polyomials Abdullah Mi, Bilal Ahmad Da ad Q. M. Dawood Depatmet of Mathematics, Uivesity of Kashmi

More information

( ) ( ) ( ) ( ) Solved Examples. JEE Main/Boards = The total number of terms in the expansion are 8.

( ) ( ) ( ) ( ) Solved Examples. JEE Main/Boards = The total number of terms in the expansion are 8. Mathematics. Solved Eamples JEE Mai/Boads Eample : Fid the coefficiet of y i c y y Sol: By usig fomula of fidig geeal tem we ca easily get coefficiet of y. I the biomial epasio, ( ) th tem is c T ( y )

More information

Einstein Classes, Unit No. 102, 103, Vardhman Ring Road Plaza, Vikas Puri Extn., Outer Ring Road New Delhi , Ph. : ,

Einstein Classes, Unit No. 102, 103, Vardhman Ring Road Plaza, Vikas Puri Extn., Outer Ring Road New Delhi , Ph. : , MB BINOMIAL THEOREM Biomial Epessio : A algebaic epessio which cotais two dissimila tems is called biomial epessio Fo eample :,,, etc / ( ) Statemet of Biomial theoem : If, R ad N, the : ( + ) = a b +

More information

EVALUATION OF SUMS INVOLVING GAUSSIAN q-binomial COEFFICIENTS WITH RATIONAL WEIGHT FUNCTIONS

EVALUATION OF SUMS INVOLVING GAUSSIAN q-binomial COEFFICIENTS WITH RATIONAL WEIGHT FUNCTIONS EVALUATION OF SUMS INVOLVING GAUSSIAN -BINOMIAL COEFFICIENTS WITH RATIONAL WEIGHT FUNCTIONS EMRAH KILIÇ AND HELMUT PRODINGER Abstact We coside sums of the Gaussia -biomial coefficiets with a paametic atioal

More information

MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES

MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES MATHS FOR ENGINEERS ALGEBRA TUTORIAL 8 MATHEMATICAL PROGRESSIONS AND SERIES O completio of this ttoial yo shold be able to do the followig. Eplai aithmetical ad geometic pogessios. Eplai factoial otatio

More information

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 2- ALGEBRAIC TECHNIQUES TUTORIAL 1 - PROGRESSIONS

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 2- ALGEBRAIC TECHNIQUES TUTORIAL 1 - PROGRESSIONS EDEXCEL NATIONAL CERTIFICATE UNIT 8 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME - ALGEBRAIC TECHNIQUES TUTORIAL - PROGRESSIONS CONTENTS Be able to apply algebaic techiques Aithmetic pogessio (AP): fist

More information

A note on random minimum length spanning trees

A note on random minimum length spanning trees A ote o adom miimum legth spaig tees Ala Fieze Miklós Ruszikó Lubos Thoma Depatmet of Mathematical Scieces Caegie Mello Uivesity Pittsbugh PA15213, USA ala@adom.math.cmu.edu, usziko@luta.sztaki.hu, thoma@qwes.math.cmu.edu

More information

Sums of Involving the Harmonic Numbers and the Binomial Coefficients

Sums of Involving the Harmonic Numbers and the Binomial Coefficients Ameica Joual of Computatioal Mathematics 5 5 96-5 Published Olie Jue 5 i SciRes. http://www.scip.og/oual/acm http://dx.doi.og/.46/acm.5.58 Sums of Ivolvig the amoic Numbes ad the Biomial Coefficiets Wuyugaowa

More information

2012 GCE A Level H2 Maths Solution Paper Let x,

2012 GCE A Level H2 Maths Solution Paper Let x, GCE A Level H Maths Solutio Pape. Let, y ad z be the cost of a ticet fo ude yeas, betwee ad 5 yeas, ad ove 5 yeas categoies espectively. 9 + y + 4z =. 7 + 5y + z = 8. + 4y + 5z = 58.5 Fo ude, ticet costs

More information

On randomly generated non-trivially intersecting hypergraphs

On randomly generated non-trivially intersecting hypergraphs O adomly geeated o-tivially itesectig hypegaphs Balázs Patkós Submitted: May 5, 009; Accepted: Feb, 010; Published: Feb 8, 010 Mathematics Subject Classificatio: 05C65, 05D05, 05D40 Abstact We popose two

More information

Sequences and Series of Functions

Sequences and Series of Functions Chapter 6 Sequeces ad Series of Fuctios 6.1. Covergece of a Sequece of Fuctios Poitwise Covergece. Defiitio 6.1. Let, for each N, fuctio f : A R be defied. If, for each x A, the sequece (f (x)) coverges

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

Generalized Fibonacci-Lucas Sequence

Generalized Fibonacci-Lucas Sequence Tuish Joual of Aalysis ad Numbe Theoy, 4, Vol, No 6, -7 Available olie at http://pubssciepubcom/tjat//6/ Sciece ad Educatio Publishig DOI:6/tjat--6- Geealized Fiboacci-Lucas Sequece Bijeda Sigh, Ompaash

More information

Some Properties of the K-Jacobsthal Lucas Sequence

Some Properties of the K-Jacobsthal Lucas Sequence Deepia Jhala et. al. /Iteatioal Joual of Mode Scieces ad Egieeig Techology (IJMSET) ISSN 349-3755; Available at https://www.imset.com Volume Issue 3 04 pp.87-9; Some Popeties of the K-Jacobsthal Lucas

More information

A NOTE ON DOMINATION PARAMETERS IN RANDOM GRAPHS

A NOTE ON DOMINATION PARAMETERS IN RANDOM GRAPHS Discussioes Mathematicae Gaph Theoy 28 (2008 335 343 A NOTE ON DOMINATION PARAMETERS IN RANDOM GRAPHS Athoy Boato Depatmet of Mathematics Wilfid Lauie Uivesity Wateloo, ON, Caada, N2L 3C5 e-mail: aboato@oges.com

More information

ON CERTAIN CLASS OF ANALYTIC FUNCTIONS

ON CERTAIN CLASS OF ANALYTIC FUNCTIONS ON CERTAIN CLASS OF ANALYTIC FUNCTIONS Nailah Abdul Rahma Al Diha Mathematics Depatmet Gils College of Educatio PO Box 60 Riyadh 567 Saudi Aabia Received Febuay 005 accepted Septembe 005 Commuicated by

More information

SHIFTED HARMONIC SUMS OF ORDER TWO

SHIFTED HARMONIC SUMS OF ORDER TWO Commu Koea Math Soc 9 0, No, pp 39 55 http://dxdoiog/03/ckms0939 SHIFTED HARMONIC SUMS OF ORDER TWO Athoy Sofo Abstact We develop a set of idetities fo Eule type sums I paticula we ivestigate poducts of

More information

ON EUCLID S AND EULER S PROOF THAT THE NUMBER OF PRIMES IS INFINITE AND SOME APPLICATIONS

ON EUCLID S AND EULER S PROOF THAT THE NUMBER OF PRIMES IS INFINITE AND SOME APPLICATIONS Joual of Pue ad Alied Mathematics: Advaces ad Alicatios Volume 0 Numbe 03 Pages 5-58 ON EUCLID S AND EULER S PROOF THAT THE NUMBER OF PRIMES IS INFINITE AND SOME APPLICATIONS ALI H HAKAMI Deatmet of Mathematics

More information

Math 166 Week-in-Review - S. Nite 11/10/2012 Page 1 of 5 WIR #9 = 1+ r eff. , where r. is the effective interest rate, r is the annual

Math 166 Week-in-Review - S. Nite 11/10/2012 Page 1 of 5 WIR #9 = 1+ r eff. , where r. is the effective interest rate, r is the annual Math 66 Week-i-Review - S. Nite // Page of Week i Review #9 (F-F.4, 4.-4.4,.-.) Simple Iteest I = Pt, whee I is the iteest, P is the picipal, is the iteest ate, ad t is the time i yeas. P( + t), whee A

More information

Advanced Physical Geodesy

Advanced Physical Geodesy Supplemetal Notes Review of g Tems i Moitz s Aalytic Cotiuatio Method. Advaced hysical Geodesy GS887 Chistophe Jekeli Geodetic Sciece The Ohio State Uivesity 5 South Oval Mall Columbus, OH 4 7 The followig

More information

Convergence of random variables. (telegram style notes) P.J.C. Spreij

Convergence of random variables. (telegram style notes) P.J.C. Spreij Covergece of radom variables (telegram style otes).j.c. Spreij this versio: September 6, 2005 Itroductio As we kow, radom variables are by defiitio measurable fuctios o some uderlyig measurable space

More information

Taylor Transformations into G 2

Taylor Transformations into G 2 Iteatioal Mathematical Foum, 5,, o. 43, - 3 Taylo Tasfomatios ito Mulatu Lemma Savaah State Uivesity Savaah, a 344, USA Lemmam@savstate.edu Abstact. Though out this pape, we assume that

More information

Advanced Higher Formula List

Advanced Higher Formula List Advaced Highe Fomula List Note: o fomulae give i eam emembe eveythig! Uit Biomial Theoem Factoial! ( ) ( ) Biomial Coefficiet C!! ( )! Symmety Idetity Khayyam-Pascal Idetity Biomial Theoem ( y) C y 0 0

More information

Range Symmetric Matrices in Minkowski Space

Range Symmetric Matrices in Minkowski Space BULLETIN of the Bull. alaysia ath. Sc. Soc. (Secod Seies) 3 (000) 45-5 LYSIN THETICL SCIENCES SOCIETY Rae Symmetic atices i ikowski Space.R. EENKSHI Depatmet of athematics, amalai Uivesity, amalaiaa 608

More information

Lecture 6: October 16, 2017

Lecture 6: October 16, 2017 Ifomatio ad Codig Theoy Autum 207 Lectue: Madhu Tulsiai Lectue 6: Octobe 6, 207 The Method of Types Fo this lectue, we will take U to be a fiite uivese U, ad use x (x, x 2,..., x to deote a sequece of

More information

Consider unordered sample of size r. This sample can be used to make r! Ordered samples (r! permutations). unordered sample

Consider unordered sample of size r. This sample can be used to make r! Ordered samples (r! permutations). unordered sample Uodeed Samples without Replacemet oside populatio of elemets a a... a. y uodeed aagemet of elemets is called a uodeed sample of size. Two uodeed samples ae diffeet oly if oe cotais a elemet ot cotaied

More information

Complementary Dual Subfield Linear Codes Over Finite Fields

Complementary Dual Subfield Linear Codes Over Finite Fields 1 Complemetay Dual Subfield Liea Codes Ove Fiite Fields Kiagai Booiyoma ad Somphog Jitma,1 Depatmet of Mathematics, Faculty of Sciece, Silpao Uivesity, Naho Pathom 73000, hailad e-mail : ai_b_555@hotmail.com

More information

s = and t = with C ij = A i B j F. (i) Note that cs = M and so ca i µ(a i ) I E (cs) = = c a i µ(a i ) = ci E (s). (ii) Note that s + t = M and so

s = and t = with C ij = A i B j F. (i) Note that cs = M and so ca i µ(a i ) I E (cs) = = c a i µ(a i ) = ci E (s). (ii) Note that s + t = M and so 3 From the otes we see that the parts of Theorem 4. that cocer us are: Let s ad t be two simple o-egative F-measurable fuctios o X, F, µ ad E, F F. The i I E cs ci E s for all c R, ii I E s + t I E s +

More information

Using Counting Techniques to Determine Probabilities

Using Counting Techniques to Determine Probabilities Kowledge ticle: obability ad Statistics Usig outig Techiques to Detemie obabilities Tee Diagams ad the Fudametal outig iciple impotat aspect of pobability theoy is the ability to detemie the total umbe

More information

On ARMA(1,q) models with bounded and periodically correlated solutions

On ARMA(1,q) models with bounded and periodically correlated solutions Reseach Repot HSC/03/3 O ARMA(,q) models with bouded ad peiodically coelated solutios Aleksade Weo,2 ad Agieszka Wy oma ska,2 Hugo Steihaus Cete, Woc aw Uivesity of Techology 2 Istitute of Mathematics,

More information

On the Explicit Determinants and Singularities of r-circulant and Left r-circulant Matrices with Some Famous Numbers

On the Explicit Determinants and Singularities of r-circulant and Left r-circulant Matrices with Some Famous Numbers O the Explicit Detemiats Sigulaities of -ciculat Left -ciculat Matices with Some Famous Numbes ZHAOLIN JIANG Depatmet of Mathematics Liyi Uivesity Shuaglig Road Liyi city CHINA jzh08@siacom JUAN LI Depatmet

More information

PROGRESSION AND SERIES

PROGRESSION AND SERIES INTRODUCTION PROGRESSION AND SERIES A gemet of umbes {,,,,, } ccodig to some well defied ule o set of ules is clled sequece Moe pecisely, we my defie sequece s fuctio whose domi is some subset of set of

More information

Lecture 3 : Concentration and Correlation

Lecture 3 : Concentration and Correlation Lectue 3 : Cocetatio ad Coelatio 1. Talagad s iequality 2. Covegece i distibutio 3. Coelatio iequalities 1. Talagad s iequality Cetifiable fuctios Let g : R N be a fuctio. The a fuctio f : 1 2 Ω Ω L Ω

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

EXAMPLES. Leader in CBSE Coaching. Solutions of BINOMIAL THEOREM A.V.T.E. by AVTE (avte.in) Class XI

EXAMPLES. Leader in CBSE Coaching. Solutions of BINOMIAL THEOREM A.V.T.E. by AVTE (avte.in) Class XI avtei EXAMPLES Solutios of AVTE by AVTE (avtei) lass XI Leade i BSE oachig 1 avtei SHORT ANSWER TYPE 1 Fid the th tem i the epasio of 1 We have T 1 1 1 1 1 1 1 1 1 1 Epad the followig (1 + ) 4 Put 1 y

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

Lower Bounds for Cover-Free Families

Lower Bounds for Cover-Free Families Loe Bouds fo Cove-Fee Families Ali Z. Abdi Covet of Nazaeth High School Gade, Abas 7, Haifa Nade H. Bshouty Dept. of Compute Sciece Techio, Haifa, 3000 Apil, 05 Abstact Let F be a set of blocks of a t-set

More information

INVERSE CAUCHY PROBLEMS FOR NONLINEAR FRACTIONAL PARABOLIC EQUATIONS IN HILBERT SPACE

INVERSE CAUCHY PROBLEMS FOR NONLINEAR FRACTIONAL PARABOLIC EQUATIONS IN HILBERT SPACE IJAS 6 (3 Febuay www.apapess.com/volumes/vol6issue3/ijas_6_3_.pdf INVESE CAUCH POBLEMS FO NONLINEA FACTIONAL PAABOLIC EQUATIONS IN HILBET SPACE Mahmoud M. El-Boai Faculty of Sciece Aleadia Uivesit Aleadia

More information

CfE Advanced Higher Mathematics Course materials Topic 5: Binomial theorem

CfE Advanced Higher Mathematics Course materials Topic 5: Binomial theorem SCHOLAR Study Guide CfE Advaced Highe Mathematics Couse mateials Topic : Biomial theoem Authoed by: Fioa Withey Stilig High School Kae Withey Stilig High School Reviewed by: Magaet Feguso Peviously authoed

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

On Some Fractional Integral Operators Involving Generalized Gauss Hypergeometric Functions

On Some Fractional Integral Operators Involving Generalized Gauss Hypergeometric Functions Available at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 93-9466 Vol. 5, Issue (Decembe ), pp. 3 33 (Peviously, Vol. 5, Issue, pp. 48 47) Applicatios ad Applied Mathematics: A Iteatioal Joual (AAM) O

More information

Recursion. Algorithm : Design & Analysis [3]

Recursion. Algorithm : Design & Analysis [3] Recusio Algoithm : Desig & Aalysis [] I the last class Asymptotic gowth ate he Sets Ο, Ω ad Θ Complexity Class A Example: Maximum Susequece Sum Impovemet of Algoithm Compaiso of Asymptotic Behavio Aothe

More information

Mapping Radius of Regular Function and Center of Convex Region. Duan Wenxi

Mapping Radius of Regular Function and Center of Convex Region. Duan Wenxi d Iteatioal Cofeece o Electical Compute Egieeig ad Electoics (ICECEE 5 Mappig adius of egula Fuctio ad Cete of Covex egio Dua Wexi School of Applied Mathematics Beijig Nomal Uivesity Zhuhai Chia 363463@qqcom

More information

Lesson 10: Limits and Continuity

Lesson 10: Limits and Continuity www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals

More information

Math 104: Homework 2 solutions

Math 104: Homework 2 solutions Math 04: Homework solutios. A (0, ): Sice this is a ope iterval, the miimum is udefied, ad sice the set is ot bouded above, the maximum is also udefied. if A 0 ad sup A. B { m + : m, N}: This set does

More information

ELEMENTARY AND COMPOUND EVENTS PROBABILITY

ELEMENTARY AND COMPOUND EVENTS PROBABILITY Euopea Joual of Basic ad Applied Scieces Vol. 5 No., 08 ELEMENTARY AND COMPOUND EVENTS PROBABILITY William W.S. Che Depatmet of Statistics The Geoge Washigto Uivesity Washigto D.C. 003 E-mail: williamwsche@gmail.com

More information

At the end of this topic, students should be able to understand the meaning of finite and infinite sequences and series, and use the notation u

At the end of this topic, students should be able to understand the meaning of finite and infinite sequences and series, and use the notation u Natioal Jio College Mathematics Depatmet 00 Natioal Jio College 00 H Mathematics (Seio High ) Seqeces ad Seies (Lecte Notes) Topic : Seqeces ad Seies Objectives: At the ed of this topic, stdets shold be

More information

The Multivariate-t distribution and the Simes Inequality. Abstract. Sarkar (1998) showed that certain positively dependent (MTP 2 ) random variables

The Multivariate-t distribution and the Simes Inequality. Abstract. Sarkar (1998) showed that certain positively dependent (MTP 2 ) random variables The Multivaiate-t distibutio ad the Simes Iequality by Hey W. Block 1, Saat K. Saka 2, Thomas H. Savits 1 ad Jie Wag 3 Uivesity of ittsbugh 1,Temple Uivesity 2,Gad Valley State Uivesity 3 Abstact. Saka

More information

Disjoint Sets { 9} { 1} { 11} Disjoint Sets (cont) Operations. Disjoint Sets (cont) Disjoint Sets (cont) n elements

Disjoint Sets { 9} { 1} { 11} Disjoint Sets (cont) Operations. Disjoint Sets (cont) Disjoint Sets (cont) n elements Disjoit Sets elemets { x, x, } X =, K Opeatios x Patitioed ito k sets (disjoit sets S, S,, K Fid-Set(x - etu set cotaiig x Uio(x,y - make a ew set by combiig the sets cotaiig x ad y (destoyig them S k

More information

Math 7409 Homework 2 Fall from which we can calculate the cycle index of the action of S 5 on pairs of vertices as

Math 7409 Homework 2 Fall from which we can calculate the cycle index of the action of S 5 on pairs of vertices as Math 7409 Hoewok 2 Fall 2010 1. Eueate the equivalece classes of siple gaphs o 5 vetices by usig the patte ivetoy as a guide. The cycle idex of S 5 actig o 5 vetices is 1 x 5 120 1 10 x 3 1 x 2 15 x 1

More information

Strong Result for Level Crossings of Random Polynomials

Strong Result for Level Crossings of Random Polynomials IOSR Joual of haacy ad Biological Scieces (IOSR-JBS) e-issn:78-8, p-issn:19-7676 Volue 11, Issue Ve III (ay - Ju16), 1-18 wwwiosjoualsog Stog Result fo Level Cossigs of Rado olyoials 1 DKisha, AK asigh

More information

The number of r element subsets of a set with n r elements

The number of r element subsets of a set with n r elements Popositio: is The umbe of elemet subsets of a set with elemets Poof: Each such subset aises whe we pick a fist elemet followed by a secod elemet up to a th elemet The umbe of such choices is P But this

More information

Strong Result for Level Crossings of Random Polynomials. Dipty Rani Dhal, Dr. P. K. Mishra. Department of Mathematics, CET, BPUT, BBSR, ODISHA, INDIA

Strong Result for Level Crossings of Random Polynomials. Dipty Rani Dhal, Dr. P. K. Mishra. Department of Mathematics, CET, BPUT, BBSR, ODISHA, INDIA Iteatioal Joual of Reseach i Egieeig ad aageet Techology (IJRET) olue Issue July 5 Available at http://wwwijetco/ Stog Result fo Level Cossigs of Rado olyoials Dipty Rai Dhal D K isha Depatet of atheatics

More information

Chapter 2 Sampling distribution

Chapter 2 Sampling distribution [ 05 STAT] Chapte Samplig distibutio. The Paamete ad the Statistic Whe we have collected the data, we have a whole set of umbes o desciptios witte dow o a pape o stoed o a compute file. We ty to summaize

More information

Generalization of Horadam s Sequence

Generalization of Horadam s Sequence Tuish Joual of Aalysis ad Nube Theoy 6 Vol No 3-7 Available olie at http://pubssciepubco/tjat///5 Sciece ad Educatio Publishig DOI:69/tjat---5 Geealizatio of Hoada s Sequece CN Phadte * YS Valaulia Depatet

More information

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero?

If a subset E of R contains no open interval, is it of zero measure? For instance, is the set of irrationals in [0, 1] is of measure zero? 2 Lebesgue Measure I Chapter 1 we defied the cocept of a set of measure zero, ad we have observed that every coutable set is of measure zero. Here are some atural questios: If a subset E of R cotais a

More information

Chapter 6 Infinite Series

Chapter 6 Infinite Series Chapter 6 Ifiite Series I the previous chapter we cosidered itegrals which were improper i the sese that the iterval of itegratio was ubouded. I this chapter we are goig to discuss a topic which is somewhat

More information

L8b - Laplacians in a circle

L8b - Laplacians in a circle L8b - Laplacias i a cicle Rev //04 `Give you evidece,' the Kig epeated agily, `o I'll have you executed, whethe you'e evous o ot.' `I'm a poo ma, you Majesty,' the Hatte bega, i a temblig voice, `--ad

More information

RECIPROCAL POWER SUMS. Anthony Sofo Victoria University, Melbourne City, Australia.

RECIPROCAL POWER SUMS. Anthony Sofo Victoria University, Melbourne City, Australia. #A39 INTEGERS () RECIPROCAL POWER SUMS Athoy Sofo Victoia Uivesity, Melboue City, Austalia. athoy.sofo@vu.edu.au Received: /8/, Acceted: 6//, Published: 6/5/ Abstact I this ae we give a alteative oof ad

More information

Sequences and Limits

Sequences and Limits Chapter Sequeces ad Limits Let { a } be a sequece of real or complex umbers A ecessary ad sufficiet coditio for the sequece to coverge is that for ay ɛ > 0 there exists a iteger N > 0 such that a p a q

More information

SVD ( ) Linear Algebra for. A bit of repetition. Lecture: 8. Let s try the factorization. Is there a generalization? = Q2Λ2Q (spectral theorem!

SVD ( ) Linear Algebra for. A bit of repetition. Lecture: 8. Let s try the factorization. Is there a generalization? = Q2Λ2Q (spectral theorem! Liea Algeba fo Wieless Commuicatios Lectue: 8 Sigula Value Decompositio SVD Ove Edfos Depatmet of Electical ad Ifomatio echology Lud Uivesity it 00-04-06 Ove Edfos A bit of epetitio A vey useful matix

More information

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

More information

PUTNAM TRAINING INEQUALITIES

PUTNAM TRAINING INEQUALITIES PUTNAM TRAINING INEQUALITIES (Last updated: December, 207) Remark This is a list of exercises o iequalities Miguel A Lerma Exercises If a, b, c > 0, prove that (a 2 b + b 2 c + c 2 a)(ab 2 + bc 2 + ca

More information

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4.

Definition 4.2. (a) A sequence {x n } in a Banach space X is a basis for X if. unique scalars a n (x) such that x = n. a n (x) x n. (4. 4. BASES I BAACH SPACES 39 4. BASES I BAACH SPACES Sice a Baach space X is a vector space, it must possess a Hamel, or vector space, basis, i.e., a subset {x γ } γ Γ whose fiite liear spa is all of X ad

More information

Analytic Continuation

Analytic Continuation Aalytic Cotiuatio The stadard example of this is give by Example Let h (z) = 1 + z + z 2 + z 3 +... kow to coverge oly for z < 1. I fact h (z) = 1/ (1 z) for such z. Yet H (z) = 1/ (1 z) is defied for

More information

A Proof of Birkhoff s Ergodic Theorem

A Proof of Birkhoff s Ergodic Theorem A Proof of Birkhoff s Ergodic Theorem Joseph Hora September 2, 205 Itroductio I Fall 203, I was learig the basics of ergodic theory, ad I came across this theorem. Oe of my supervisors, Athoy Quas, showed

More information

Ma 4121: Introduction to Lebesgue Integration Solutions to Homework Assignment 5

Ma 4121: Introduction to Lebesgue Integration Solutions to Homework Assignment 5 Ma 42: Itroductio to Lebesgue Itegratio Solutios to Homework Assigmet 5 Prof. Wickerhauser Due Thursday, April th, 23 Please retur your solutios to the istructor by the ed of class o the due date. You

More information

IDENTITIES FOR THE NUMBER OF STANDARD YOUNG TABLEAUX IN SOME (k, l)-hooks

IDENTITIES FOR THE NUMBER OF STANDARD YOUNG TABLEAUX IN SOME (k, l)-hooks Sémiaie Lothaigie de Combiatoie 63 (010), Aticle B63c IDENTITIES FOR THE NUMBER OF STANDARD YOUNG TABLEAUX IN SOME (k, l)-hooks A. REGEV Abstact. Closed fomulas ae kow fo S(k,0;), the umbe of stadad Youg

More information

1. By using truth tables prove that, for all statements P and Q, the statement

1. By using truth tables prove that, for all statements P and Q, the statement Author: Satiago Salazar Problems I: Mathematical Statemets ad Proofs. By usig truth tables prove that, for all statemets P ad Q, the statemet P Q ad its cotrapositive ot Q (ot P) are equivalet. I example.2.3

More information

The natural exponential function

The natural exponential function The atural expoetial fuctio Attila Máté Brookly College of the City Uiversity of New York December, 205 Cotets The atural expoetial fuctio for real x. Beroulli s iequality.....................................2

More information

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence

Chapter 3. Strong convergence. 3.1 Definition of almost sure convergence Chapter 3 Strog covergece As poited out i the Chapter 2, there are multiple ways to defie the otio of covergece of a sequece of radom variables. That chapter defied covergece i probability, covergece i

More information