BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES

Size: px
Start display at page:

Download "BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES"

Transcription

1 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES PETER G. CASAZZA AND M. C. LAMMERS Astrct. We provide detiled development of the L 1 function vlued inner product on L 2 (R) known s the rcket product. In ddition to some of the more sic properties, we show tht this inner product hs Bessel s inequlity, Riesz Representtion Theorem, nd Grm-Schmidt process. We then pply this to Weyl-Heisenerg frmes to show tht there exist compressed versions of the frme opertor, the frme trnsform nd the prefrme opertor. Finlly, we introduce the notion of n -frme nd show tht there is n equivlence etween the frmes of trnsltes for this function vlued inner product nd Weyl-Heisenerg frmes. 1. Introduction While working on some deep questions in non-hrmonic Fourier series, Duffin nd Scheffer [7] introduced the notion of frme for Hilert spces. Outside of this re, this ide seems to hve een lost until Duechies, Grossmn nd Meyer [5] rought ttention to it in They show tht Duffin nd Scheffer s definition ws n strction of concept introduced y Gor [8] in 1946 for doing signl nlysis. Tody the frmes introduced y Gor re clled Gor frmes or Weyl-Heisenerg frmes nd ply n importnt role in signl nlysis. In the study of shift invrint systems nd frmes severl uthors, including de Boor, DeVore, Ron nd Shen [1, 2, 13, 14], hve mde extensive use of the so clled rcket product [f, g](x) f(x + β)g(x + β). β 2πZ d This turns out to e specil cse of n inner product for Hilert C module used effectively y Rieffel nd others to produce results in the field of hrmonic nlysis on non-commuttive groups. For reference on this, we refer the reder to [12]. In wht follows we give more thorough development of 1991 Mthemtics Suject Clssifiction. Primry: 42A65, 42C15, 42C3. Key words nd phrses. Weyl-Heisenerg (Gor) frmes, inner products, Hilert C modules. The first uthor ws supported y NSF DMS

2 2 PETER G. CASAZZA AND M. C. LAMMERS the rcket product on L 2 (R) nd its ppliction to univrite principl Weyl- Heisenerg systems. Becuse we would like to chnge the shift prmeter to ritrry R + we will refer to this rcket product s the -inner product. Let us outline the orgniztion of the pper. In section 2 we review some of the fundmentls regrding Weyl-Heisenerg systems. In section 3 we give good reference for the rcket product nd some of its sic properties. In section 4 we develop the orthogonlity of this function vlued inner product including the notions of Bessel s inequlity nd Grm-Schmidt process. In section 5 we exmine the opertors ssocited with this inner product nd prove two Riesz Representtion Theorems. Finlly, in section 6 we pply these notions to Weyl-Heisenerg systems. Here we show tht ll the opertors ssocited to Weyl-Heisenerg system hve compression with regrd to this function vlued inner product nd relte this to the Ron nd Shen theory. We go on to introduce the notion of frme for this function vlued inner product nd show tht frmes of trnsltes here coincide with Weyl-Heisenerg frmes. the uthors would like to thnk the referee s nd A.J.E.M. Jnssen whose recommendtions gretly improved this mnuscript. 2. Preliminries We use N, Z, R, C to denote the nturl numers, integers, rel numers nd complex numers, respectively. A sclr is n element of R or C. Integrtion is lwys with respect to Leesgue mesure. L 2 (R) will denote the complex Hilert spce of squre integrle functions mpping R into C. A ounded unconditionl sis for Hilert spce H is clled Riesz sis. Tht is, (f n ) is Riesz sis for H if nd only if there is n orthonorml sis (e n ) for H nd n invertile opertor T : H H defined y T (e n ) f n, for ll n. We cll (f n ) Riesz sic sequence if it is Riesz sis for its closed liner spn. For E H, we write spn E for the closed liner spn of E. In 1952, Duffin nd Scheffer [7] introduced the notion of frme for Hilert spce. Definition 2.1. A sequence (f n ) of elements of Hilert spce H is clled frme if there re constnts A, B > such tht (2.1) A f 2 f, f n 2 B f 2, for ll f H. The numers A, B re clled the lower nd upper frme ounds respectively. The lrgest numer A > nd smllest numer B > stisfying the frme inequlities for ll f H re clled the optiml frme ounds. The frme is tight frme if A B nd normlized tight frme if

3 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 3 A B 1. If f n H, for ll n Z, we cll (f n ) frme sequence if it is frme for its closed liner spn in H. We will consider frmes from the opertor theoretic point of view. To formulte this pproch, let (e n ) e n orthonorml sis for n infinite dimensionl Hilert spce H nd let f n H, for ll n Z. We cll the opertor T : H H given y T e n f n the prefrme opertor ssocited with (f n ). Now, for ech f H nd n Z we hve T f, e n f, T e n f, f n. Thus T f n f, f n e n, nd T f 2 n f, f n 2, for ll f H. It follows tht the prefrme opertor is ounded if nd only if (f n ) hs finite upper frme ound B. Compring this to Definition 2.1 we hve Theorem 2.2. Let H e Hilert spce with n orthonorml sis (e n ). Also let (f n ) e sequence of elements of H nd let T e n f n e the prefrme opertor. The following re equivlent: (1) (f n ) is frme for H. (2) The opertor T is ounded, liner nd onto. (3) The opertor T is n (possily into) isomorphism clled the frme trnsform. Moreover, (f n ) is normlized tight frme if nd only if the prefrme opertor is quotient mp (i.e. co-isometry). It follows tht S T T is n invertile opertor on H, clled the frme opertor. Moreover, we hve Sf T T f T ( n f, f n e n ) n f, f n T e n n f, f n f n. A direct clcultion now yields Sf, f n f, f n 2. Therefore, the frme opertor is positive, self-djoint invertile opertor on H. Also, the frme inequlities (2.1) yield tht (f n ) is frme with frme ounds A, B > if nd only if A I S B I. Hence, (f n ) is normlized tight frme if nd only if S I. We will work here with prticulr clss of frmes clled Weyl-Heisenerg frmes. To formulte these frmes, we first need some nottion. For function f on R we define the opertors:

4 4 PETER G. CASAZZA AND M. C. LAMMERS Trnsltion: T f(x) f(x ), R Modultion: E f(x) e 2πix f(x), R Diltion: D f(x) 1/2 f(x/), R {} We lso use the symol E to denote the exponentil function E (x) e 2πix. Ech of the opertors T, E, D re unitry opertors on L 2 (R). In 1946 Gor [8] formulted fundmentl pproch to signl decomposition in terms of elementry signls. This method resulted in Gor frmes or s they re often clled tody Weyl-Heisenerg frmes. Definition 2.3. If, R nd g L 2 (R) we cll (E m T n g) m, Weyl- Heisenerg system (WH-system for short) nd denote it y (g,, ). We denote y (g, ) the fmily (T n g). We cll g the window function. If the WH-system (g,, ) forms frme for L 2 (R), we cll this Weyl- Heisenerg frme (WH-frme for short). The numers, re the frme prmeters with eing the shift prmeter nd eing the modultion prmeter. We will e interested in when there re finite upper frme ounds for WH-system. Tht is, we wish to know when the system (g,, ) is Bessel system lso referred to s prefrme functions. We denote this clss y PF. It is esily checked tht Proposition 2.4. The following re equivlent: (1) g PF. (2) The opertor Sf n,m f, E m T n g E m T n g, is well defined ounded liner opertor on L 2 (R). We will need the WH-frme identity due to Duechies [4]. To simplify the nottion little we introduce the following uxiliry functions. Define for g L 2 (R) nd ll k Z G k (t) g(t n)g(t n k/). In prticulr, G (t) g(t n) 2. Theorem 2.5. (WH-frme Identity.) If n g(t n) 2 f L 2 (R) is ounded nd compctly supported, then f, E m T n g 2 F 1 (f) + F 2 (f), n,m Z B.e. nd

5 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 5 where nd F 1 (f) 1 f(t) 2 G (t) dt, R F 2 (f) 1 f(t)f(t k k R )G k(t) dt 1 2Re f(t)f(t k )G k(t) dt. k 1 R There re mny restrictions on the g,, in order tht (g,, ) form WHfrme. We will mke note of few of them here. The first is simple ppliction of the WH-frme Identity. Tht is, if we put functions supported on [, 1 ] into this identity, then F 2 (f). Now the WH-frme Identity comined with the frme condition quickly yields, Theorem 2.6. If (g,, ) is WH-frme with frme ounds A, B then A 1 G (t) B,.e. A sic result of Ron nd Shen [14] yields similr upper ound condition with replced y 1. Proposition 2.7. (g,, ) is WH-frme with frme ounds A,B, iff the opertor K(x) : {g(x n j/)} n,j stisfies AI KK (x) BI. Hence if (g,, ) hs finite upper frme ound, then g(t n ) 2 B.e. A recent very importnt result ws proved independently y Duechies, H. Lndu nd Z. Lndu [6], Jnssen [1], nd Ron nd Shen [14]. Theorem 2.8. For g L 2 (R) nd, R, the following re equivlent: (1) (g,, ) is WH-frme. (2) The fmily (E m T n g) m, is Riesz sic sequence in L 2 (R). We end these preliminries with rief discussion of the Ron nd Shen theory of Grmin nlysis for shift invrint systems from [13, 14]. At the hert of their technique is the pre-grmin opertor J nd its djoint J. Ron nd Shen show tht J is Fourier trnsform nlogue of the opertor T. In the Weyl-Heisenerg cse with 1 it tkes the form J (f) : ([f, T m ĝ]) m Z, where we consider T : L 2 (R) l 2 (Z). Then they clculte the dul Grmin G JJ which will correspond to Fourier trnsform version of wht we lter

6 6 PETER G. CASAZZA AND M. C. LAMMERS refer to s the compression of the frme opertor. In order to void confusion we point out sutle difference in our pproch. We use the prefrme nd frme opertors which re ounded opertors from L 2 (R) to L 2 (R) insted of the opertor T ove nd its dul. 3. Pointwise Inner Products A numer of the results elow cn e found in the erly ppers [1, 2, 13, 14]. For the ske of completeness, nd to crete good reference for this inner product for use in WH-systems we list them here. To gurntee tht our inner product is well defined, we need to first check some convergence properties for elements of L 2 (R). Proposition 3.1. For f, g L 2 (R) nd R + the series f(t n)g(t n) converges unconditionlly.e. to function in L 1 [, ]. Proof. If f, g L 2 (R) then fg L 1 (R). Hence, fg L 1 f(t n)g(t n) dt <. The Monotone Convergence Theorem yields oth the interchnge of the integrl nd the sum nd the existence of f(t n)g(t n) s function in L 1 [, ]. A simple ppliction of the Leesgue Dominted Convergence Theorem comined with Proposition 3.1 yields Corollry 3.2. For ll f, g L 2 (R) we hve f, g f(t n)g(t n) dt. Now we introduce the pointwise inner product for WH-frmes. We cn view this s function vlued inner product. Definition 3.3. Fix R +. For ll f, g L 2 (R) we define the -pointwise inner product of f nd g (clled the -inner product for short) y f, g (t) f(t n)g(t n), for ll t R. We define the -norm of f y f (t) f, f (t).

7 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 7 We emphsize here tht the -inner product nd the -norm re functions on R which re clerly -periodic. To cut down on nottion, whenever we hve n -periodic function on R, we will lso consider it function on [, ]. The convergence of these series is gurnteed y our erlier discussion. In fct, the -inner product <, > is n onto ( ut not 1-1) mpping from L 2 (R) L 2 (R) to the -periodic functions on R whose restriction to [, ] lie in L 1 [, ]. First we show tht the -inner product relly is good generliztion of the stndrd notion of inner products for Hilert spce. Since ll of these proofs follow directly from the definitions we omit them. Theorem 3.4. Let f, g, h L 2 (R), c, d C, nd, R. The following properties hold: (1) f, g is periodic function of period on R with f, g L 1 [, ]. (2) f L 2 (R) f (t) L 2 [,] (3) f, g f, g (t) dt. (4) cf + dg, h c f, h + d g, h. (5) f, cg + dh c f, g + d f, h. (6) f, g g, f. (7) fg, h f, gh, for fg, gh L 2 (R). (8) If f, g then f, g. (9) T f, T g T f, g. (1) T g 2 T g 2. (11) T f, g T f, T g. (12) f, g 1 D D 1 f, D 1 g 1. It is not difficult to mimic the stndrd proofs for the usul inner product on Hilert spce to otin the following results for the -inner product. Proposition 3.5. For ll f, g L 2 (R) the following hold.e.: (1) f, g f g. (2) f + g 2 f 2 + 2Re f, g + g 2. (3) f + g f + g. (4) f + g 2 + f g 2 2( f 2 + g 2 ). Since our -inner product is n -periodic function, it enjoys some specil properties relted to -periodic functions.

8 8 PETER G. CASAZZA AND M. C. LAMMERS Proposition 3.6. Let f, g L 2 (R) nd let h L (R) e n -periodic function. Then fh, g h f, g nd f, hg h f, g. In prticulr, if h stisfies h(t).e., then f, g fh, g f, gh. Proof. We compute fh, g (t) f(t n)h(t n)g(t n) f(t n)h(t)g(t n) if nd only if h(t) f(t n)g(t n) h(t) f, g (t). Next we normlize our functions in the -inner product. For f L 2 (R), we define the -pointwise normliztion of f to e { f(t) N (f)(t) : f f (t) (t) : f (t). We now hve Proposition 3.7. Let f, g L 2 (R). (1) We hve N (f), g f, g f (t), where f (t). In prticulr, f, g (t) if nd only if N (f), g (t). (2) For f.e. we hve (3) We hve N (f), N (f) (t) where λ denotes Leesgue mesure. (4) N (N (f)) N (f). Proof. (1) We compute N (f), g N (f)(t n) 2 1,.e. N (f) 2 L 2 (R) λ(supp f [,] (t)). N (f)(t n)g(t n) f(t n) g(t n). f (t n)

9 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 9 Since our inner product is -periodic, this equlity ecomes, 1 f(t n)g(t n) f, g (t) f (t) f (t), where f (t). (2)-(4) re strightforwrd clcultions. 4. -orthogonlity The notion of orthogonlity with respect to the -inner product hs een used primrily to descrie the orthogonl complement in the usul inner product for shift-invrint spces. In this section we explore more thoroughly wht it mens to e -orthogonl nd develop such things s -orthonorml sequences nd Bessel inequlity for the -inner product. This property gives one of the min pplictions of the -inner product in Weyl-Heisenerg frme theory. For s we will see, orthogonlity in this form is very strong. Definition 4.1. For f, g L 2 (R), we sy tht f nd g re -orthogonl, nd write f g, if f, g (t).e.. We define the -orthogonl complement of E L 2 (R) y E {g : f, g, for ll f E}. Similrly, n -orthogonl sequence is sequence (f n ) stisfying f n f m, for ll n m. This is n -orthonorml sequence if we lso hve f n 1.e. We now identify n importnt clss of functions for working with the -inner product. Definition 4.2. We sy tht g L 2 (R) is -ounded if there is B > so tht g, g (t) B, for.. t We let L (R) denote the fmily of -ounded functions. We hve tht L (R) is non-closed (in the L 2 (R) norm) liner suspce of L (R). Note lso tht the Wiener mlgm spce is suspce of L (R). We hve not defined orthonorml ses for the -inner product yet since, s we will see, this requires little more cre. First we need to develop the sic properties of -orthogonlity. Proposition 4.3. If E L 2 (R) nd B {f : f L (R) nd f is -periodic} then E φ B (φe) (spn φ B φe).

10 1 PETER G. CASAZZA AND M. C. LAMMERS Proof. Let f E. For ny g E nd ny -periodic function φ B we hve y Proposition 3.6 f, φg (t) φ(t) f, g (t). Hence, f φg. Tht is, f (φe). Now let f (φe), the intersection eing tken over ll ounded -periodic φ. Let g E nd define for n N, { f, g (t) : f, g φ n (t) (t) n : otherwise. Note tht φ n is -periodic. Now we compute, f, φ n g f(t)φ n (t)g(t)dt R ( ) f(t n)g(t n) φ n (t) dt f, g (t)φ n (t) dt φ n (t) 2 dt. Therefore, φ n, for ll n Z. Hence, f, g (t).e., nd so f g. Tht is, f E. By Theorem 3.4 (8), we hve tht E E. Corollry 4.4. For E L 2 (R), E is norm closed liner suspce of E. The next result which cn e found in [1] shows more clerly wht orthogonlity mens in this setting. Proposition 4.5. For f, g L 2 (R), the following re equivlent: (1) f g. (2) spn m Z E m f spn m m ZE g. Proof. Fix m Z nd compute f, E m g f, g (t)e 2πi( m )t dt < f, g > (m). It follows tht f, E m g, for ll m Z if nd only if ll the Fourier coefficients of < f, g > (t) re zero. A moment s reflection should convince the reder tht this is ll we need. Definition 4.6. We sy tht E L 2 (R) is n -periodic closed set if for ny f E nd ny φ L (R) we hve tht φf E. The next result follows immeditely from Propositions 4.3 nd 4.5.

11 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 11 Corollry 4.7. For ny E L 2 (R), E n -periodic closed set then E E. is n -periodic closed set. If E is Now we oserve wht orthogonlity mens for (E m g) in terms of the regulr inner product. Proposition 4.8. If g L 2 (R) nd g 1.e., then ( 1 E m g) m Z is n orthonorml sequence in L 2 (R). Proof. For ny n, m Z we hve E n g, E m g g(t) 2 e 2πi[(n m)/]t dt R g 2 (t)e 2πi[(n m)/]t dt e 2πi[(n m)/]t dt δ nm. Corollry 4.9. If (g n ) n N is n -orthonorml sequence in L 2 (R), then (E m g n) n,m Z is n orthonorml sequence in L 2 (R). Proof. We need tht for ll (n, m) (l, k) Z Z, E m g n E k/ g l. But, if n l, this is Proposition 4.5, nd if n l, this is Proposition 4.8. Corollry 4.9 tells us how to define n -orthonorml sis. Definition 4.1. Let g n L 2 (R). We cll (g n ) n -orthonorml sis for L 2 (R) if it is n -orthonorml sequence nd spn (E m g n) n,m Z L 2 (R). Proposition A sequence (g n ) in L 2 (R) is n -orthonorml sis if nd only if (E m g n) n,m Z is n orthonorml sis for L 2 (R). We would like to cpture the importnt Bessel s Inequlity for -orthonorml sequences ut efore we do so we need to insure tht f, g g remins in L 2 (R) for functions g L (R). Proposition If g, h L (R) then f, g h L 2 (R) for ll f L 2 (R). Proof. First we need to show f, g L 2 ([, ]). Let B esssup [,) g 2 (t) nd C esssup [,) h 2 (t). This follows from the Cuchy-Schwrz inequlity for the -inner product:

12 12 PETER G. CASAZZA AND M. C. LAMMERS f, g (t) 2 L 2 [,] B f, g (t) 2 dt f, f (t) g, g (t) dt f, f (t) dt B f 2 L 2 (R). Now we cn prove the proposition using the Monotone Convergence Theorem nd the result ove: f, g h 2 L 2 (R) R n f, g (t)h(t) 2 dt f, g (t) 2 h(t n) 2 dt f, g (t) 2 h, h (t)dt BC f 2 L 2 (R) Theorem Let (g n ) n N e n -orthonorml sequence in L 2 (R) nd f L 2 (R). (1) the series of functions n N f, g n g n converges in L 2 (R). (2) We hve Bessel s Inequlity, f, f f, g n 2. n1 Note tht this is n inequlity for functions. Moreover, if f spn (E m g n) m,, then f, f f, g n 2. n1 Proof. First we note tht the g n re in L (R) so ech f, g n g n is in L 2 (R). Fix 1 m nd let m h f, g n g n. n1

13 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 13 Using the fct tht the -inner product of two functions is -periodic (nd hence my e fctored out of the -inner product) we hve m m h, h f, g n g n, f, g k g k n1 m k1 f, g n f, g k g n, g k n,k1 n1 m f, g n 2. Letting g f h we hve y the sme type of clcultion s ove, m m h, g f, g n g n, f f, g k g k n1 m f, g n 2 n1 k1 k1 m f, g k 2. So we hve decomposed f into two -orthogonl functions h, g. Therefore, f, f h + g, h + g h, h + g, g m f, g n 2 + g, g n1 m f, g n 2. Since m ws ritrry, we hve (2) of the Theorem. For (1), we just put together wht we know. By (2) nd the Monotone Convergence Theorem, we hve tht the series of functions n N f, g n 2 converges in L 1 [, ]. But, y our clcultions ove nd the properties of the -norm, m f, g n g n 2 L 2 (R) nk n1 m f, g n g n 2 (t) dt nk m f, g n g n, nk m f, g n g n nk m f, g n 2 (t) dt. nk (t) dt Now, n N f, g n 2 converges in L 1 [, ] implies tht the right hnd side of our equlity goes to zero s k.

14 14 PETER G. CASAZZA AND M. C. LAMMERS We end this section with Grm-Schmidt process for the -inner product. First we need result which shows tht this process produces functions which re in the proper spns. Proposition Let f, g, h L 2 (R). We hve: (1) N (g) spn (E m g) m Z. (2) If ny two of f, g, h re in L (R), then f, g h spn (E m g) m Z. Proof. (1): For ech n N let Also, let E n {t [, ] : g, g (t) 2 n or g, g (t) 1 n }. Since g L 2 (R), we hve g 2 Ẽ n m Z (E n + m). g, g (t) dt <. Hence, lim n λ(e n ). Let F n [, ] E n nd F n m Z (F n + m). Now, Hence, Hence, 1 n 1 χ Fn g, χ Fn g 1 χ Fn g, χ Fn g n. L (R). χ Fn g χ Fn g, χ Fn g + χẽn g spn (E m g) m Z. Also, χ Fn g χ Fn g, χ Fn g + χẽn g N (g) L 2 (R) χẽn g χ Ẽ n g g, g χẽn g + χ Ẽ n g g, g ( 1/2 χẽn g dt) 2 + N (χẽn g) R ( ) 1/2 g, g (t) dt + λ(e n ). E n

15 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 15 But the right hnd side of the ove inequlity goes to zero s n. (2): Assume first tht f, g L (R). Let B esssup [,) f 2 (t) nd C esssup [,) g 2 (t). Now y Cuchy-Schwrz f, g (t) f (t) g (t) B C. Therefore, f, g is ounded -periodic function on R. This implies tht f, g h L 2 (R). Now suppose tht g, h L (R). Then f, g h L 2 (R) y Proposition A direct clcultion shows spn (E m g) m Z {φg : φ is -periodic nd φg L 2 (R)}. So y the ove, we hve tht f, h g spn (E m g) m Z. Definition Let g n L 2 (R), for 1 n k. We sy tht (g n ) k n1 is - linerly independent if for ech 1 n k, g n / spn (E m g i) m Z;1 i n k. An ritrry fmily is -linerly independent if every finite su-fmily is -linerly independent. Now we crry out the Grm-Schmidt process. Theorem (Grm-Schmidt ortho-normliztion procedure) Let (g n ) n N e n -linerly independent sequence in L 2 (R) for >. Then there exists n -orthonorml sequence (e n ) n N stisfying for ll n N: spn (E m g k) m Z,1 k n spn (E m e k) m Z,1 k n. Proof. We proceed y induction. First let e 1 N (g 1 ). If (e i ) n i1 hve een defined to stisfy the theorem, let e n+1 N (g n+1 n g i, e i e i ) nd h g n+1 i1 n g n+1, e i e i. Note tht h y our -linerly independent ssumption nd Proposition Now, for 1 k n we hve e n+1, e k ( ) 1 n g n+1, e k h, h g n+1, e i e i, e k i1 1 ( g n+1, e k h, h g n+1, e k e k, e k ). i1 The sttement out the liner spns follows from Proposition 4.14.

16 16 PETER G. CASAZZA AND M. C. LAMMERS 5. -Fctorle Opertors Now we consider opertors on L 2 (R) which ehve nturlly with respect to the -inner product. We will cll these opertors -fctorle opertors. Definition 5.1. Fix 1 p. We sy tht liner opertor L : L 2 (R) L p (E) is n -fctorle opertor if for ny fctoriztion f φg where f, g L 2 (R) nd φ is n -periodic function on R we hve L(f) L(φg) φl(g). First we show it is enough to consider fctoriztions over L ([, )) nd see these re exctly the opertors tht commute with ll E m Proposition 5.2. Let L e ounded opertor from L 2 (R) to L 2 ([, )). Then L is -fctorle if nd only if L(φf) φl(f) for ll f L 2 (R) nd ll - periodic φ L (R). Proof. Assume φ is -periodic, f, g L 2 (R) nd f φg. For ll n N let Let E n [, 1] F n nd Now, F n {t [, ] : φ(t) > n}. Ẽ n m Z (E n + m) nd χẽn φg φg 2 L 2 (R) R F n m Z (F n + m). χ Fn φ(t)g(t) 2 dt χ Fn φ(t) 2 g, g (t) dt. Since φg L 2 (R) nd lim n λ(f n ), it follows tht h n : χẽn φg converges to φg in L 2 (R). Since L is ounded liner opertor, it follows tht L(h n ) converges to L(φg). But, L(h n ) χẽn φl(g) y our ssumption. Now, L(h n ) L h n L φg L f. Finlly, since L(h n ) φl(g) it follows from the Leesgue Dominted Convergence Theorem tht φl(g) L 2 (R) nd L(h n ) φl(g). This completes the proof of the Proposition. We hve immeditely Corollry 5.3. An opertor L : L 2 (R) L p (E) is -fctorle if nd only if L(E m g) E m L(g), for ll m Z. Tht is, L is -fctorle if nd only if it commutes with E m. Next we derive our first Riesz Representtion Theorem for -fctorle opertors. To simplify this proof s well s lter rguments we first prove lemm.

17 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 17 Lemm 5.4. Let L 1 nd L 2 e -fctorle opertors from L 2 (R) L 1 [, ]. Then L 1 L 2 iff L 1 (f)(t)dt L 2 (f)(t)dt. Proof. Fix f L 2 (R). By our ssumption, for ll m Z we hve L 1 (E m L 1 (f)(t)e m (t)dt L 2 (f)(t)e m (t)dt L 2 (E m f)(t)dt. Hence, the Fourier coefficients for L 1 (f) nd L 2 (f) re the sme for ll f L 2 (R) nd therefore L 1 L 2 Our originl proof of the Riesz Representtion Theorem for -fctorle opertors ws cumersome. The direct proof elow ws kindly communicted to us y A.J.E.M. Jnssen. Theorem 5.5. ( Riesz Representtion Theorem 1): L is ounded -fctorle opertor from L 2 (R) to L 1 [, ] iff there is g L 2 (R) so tht L(f) f, g (t) for ll f L 2 (R). Moreover L g. Proof. Fix g L 2 (R) nd define L on L 2 (R) y L(f) f, g (t). Now for ny f L 2 (R) Lf f, g (t) L 1 [,] f(t n)g(t n) dt f(t n) 2 g(t n) 2 dt ( ) 1/2 ( ) 1/2 f(t n) 2 g(t n) 2 f L 2 (R) g L 2 (R). Letting g f we see tht L(g) g which, comined with the ove, shows tht L g. Assume L is n -fctorle opertor from L 2 (R) L 1 [, ]. Define the liner functionl Ψ on L 2 (R) y Ψ(f) L(f)(t)dt.

18 18 PETER G. CASAZZA AND M. C. LAMMERS By the stndrd Riesz Representtion Theorem, there is function g L 2 (R) so tht Ψ(f) f, g for ll f L 2 (R). Define the opertor L g (f) f, g (t). It follows tht Ψ(f) f, g f, g (t)dt L g (f)(t)dt L(f)(t)dt. Since L g nd L re -fctorle mps from L 2 (R) to L 1 [, ], they re equl y Lemm 5.4. Now, let L e ny -fctorle liner opertor from L 2 (R) to L p ([, ]), nd let E ker L. If f E, nd φ L (R), then L(φf) φl(f). So φf E. We summrize this elow. Proposition 5.6. If L is ny -fctorle liner opertor with kernel E, then E is n -periodic closed set nd so E E. One more property of -fctorle opertors into L 2 [, ] is tht the opertor is ounded pointwise with respect to the -norm. Proposition 5.7. Let L e n -fctorle liner opertor from L 2 (R) to L 2 [, ]. Then L is ounded if nd only if there is constnt B > (B L ) so tht for ll f L 2 (R) we hve L(f)(t) B f (t), for.e. t [, ]. Moreover, L is n isomorphism if nd only if there re constnts A, B > (A L 1 1, B L ) so tht for ll f L 2 (R) we hve A f (t) L(f)(t) B f (t), for.e. t [, ]. Proof. For ny ounded -periodic function φ on R, nd for every f L 2 (R) we hve φ(t) 2 L(f)(t) 2 dt It follows immeditely tht L(φf)(t) 2 dt L(φf) 2 L 2 ([,] L 2 φf 2 L 2 (R) L 2 L 2 φ(t) 2 f 2 (t) dt. R φ(t) 2 f(t) 2 dt L(f)(t) 2 L 2 f 2 (t), for.e. t [, ]. The other impliction is similr, s is the moreover prt of the Proposition. This gives us nother Riesz Representtion Theorem for opertors from L 2 (R) to L 2 [, ].

19 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 19 Theorem 5.8. (Riesz Representtion 2) L is ounded -fctorle opertor from L 2 (R) to L 2 [, ] iff there is g L (R) so tht L(f) f, g for ll f L 2 (R). Moreover L 2 ess sup [,] g, g. Proof. Let g e in L (R) nd define L to e L(f) f, g. The rest follows directly from the first prt of the proof of Proposition 4.12 nd gin, letting g f ove gives the norm of the opertor. Let L e ounded -fctorle opertor from L 2 (R) to L 2 [, ]. Since L 2 [, ] L 1 [, ] it is cler from Theorem 5.5 tht there exists g L 2 (R) so tht L(f) f, g, (t). By Proposition 5.7 we get g, g (t) g 2 (t) L(g)(t) g (t) L. Hence g (t) L.e. nd g L (R) We hve corresponding -norm ound for -fctorle opertors into L 2 (R). Proposition 5.9. If L : L 2 (R) L 2 (R) is n -fctorle opertor then L is ounded if nd only if there is constnt B > (A L ) so tht for ll f L 2 (R) we hve Lf (t) B f (t), for.e. t [, ]. Moreover, L is n isomorphism if nd only if there re constnts A, B > (A L 1 1, B L ) so tht for ll f L 2 (R) we hve A f (t) L(f)(t) B f (t), for ll t R. Proof. For ny f L 2 (R) nd ny ounded -periodic function φ we compute L(φf) 2 L 2 (R) L(φf)(t) 2 dt φ(t) 2 (Lf)(t) 2 dt R R φ(t) 2 (Lf)(t n) 2 dt φ(t) 2 Lf 2 (t) dt L 2 φf 2 L 2 (R) L 2 φ(t) 2 f(t) 2 dt L 2 φ(t) 2 f 2 (t) dt. It follows tht Lf 2 (t) L 2 f 2 (t), The rest of the proposition follows similrly. Note tht Proposition 5.9 shows tht -fctorle opertors must mp - ounded functions to -ounded functions. We end this section y verifying tht for -fctorle opertors L, the opertor L ehves s it should reltive to the -inner product. R.e.

20 2 PETER G. CASAZZA AND M. C. LAMMERS Proposition 5.1. If L is n -fctorle opertor from L 2 (R) to L 2 (R), then for ll f, g L 2 (R) we hve L(f), g (t) f, L (g) (t). Proof. Consider the opertor L(f) L(f), g (t) nd L (f) f, L (g) (t). Both of these re -fctorle opertors from L 2 (R) L 1 [, ]. Also, We re done y Lemm 5.4. L(f)(t)dt L(f), g f, L (g) L (f)(t)dt. 6. Weyl-Heisenerg frmes nd the -inner product Now we pply our -inner product theory to Weyl-Heisenerg frmes. This will produce compression representtions of the vrious opertors ssocited with frmes. We cll these compressions ecuse they no longer hve the modultion prmeter explicitly represented. Tht is, we re compressing the modultion prmeter into the 1/-inner product. We will lso relte our results to the Ron-Shen Theory [13, 14]. An excellent ccessile ccount of this theory (nd much more) cn e found in Jnssen s rticle [11]. This tretment is done for generl shift-invrint systems using only sic fcts from Fourier nlysis nd Leesgue integrtion. This is then pplied to Weyl-Heisenerg systems including representtions of the frme opertor s well s representtions nd clssifictions of the dul systems. For ny WH-frme (g,, ), it is well known tht the frme opertor S commutes with E m, T n. Thus, Corollry 5.3 yields: Corollry 6.1. If (g,, ) is WH-frme, then the frme opertor S is -fctorle opertor. 1 We next show tht the WH-frme Identity for (g,, ) hs n interesting representtion in oth the nd the 1 inner products. The known WH-frme identity requires tht the function f e ounded nd of compct support. While this remins condition for the WH-frme Identity derived from the -inner product we re le to extend this result to ll f L 2 (R) when we use the 1 -inner product. For this reson we present the theorems seprtely. The proof of oth these theorems hve their roots in the Heil nd Wlnut proof of the WH-frme Identity (see [9], Theorem 4.1.5). We refer the reder to Proposition 3.1 nd Corollry 3.2 for questions concerning convergence of the series nd integrls elow.

21 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 21 Theorem 6.2. Let g L (R), nd, R +. For ll f L 2 (R) which re ounded nd compctly supported we hve m, f, E m T n g 2 1 k T k f, f g, T k Proof. We strt with the WH-frme Identity relizing tht periodic. Hence g dt. g, T k g is - (6.1) m, f, E m T n g 2 1 k 1 k 1 k f(t)f(t k R ) g(t n)g(t n k )dt n f(t j)f(t k g, j) T k g dt j T k f, f g, T k g dt For the rest of this section we concentrte on the 1 inner product nd its reltionship to WH-frmes. In forthcoming pper on the WH-frme identity we show tht one my relx the condition on g. Tht is, the originl WH-frme identity holds for ll g L 2 (R) when f is ounded nd compctly supported. Theorem 6.3. Let g L (R), nd, R +. For ll f L 2 (R) we let f n f, T n g 1 then nd so n,m Z m Z f, E m T n g 2 f, T n g 1 2 f L 2 [, n 2 1 ] L 2 [, 1 ], f, E m T n g 2 f, T n g 1 2 f L 2 [, 1 ] n 2 L 2 [, 1 ].

22 22 PETER G. CASAZZA AND M. C. LAMMERS Proof. Since g L (R) we know ech f n L 2 [, 1 ] nd now we just compute f, E m T n g 2 f(t)g(t n)e 2πimt dt 2 m Z m Z R 1 m Z 1 m Z m Z 1 f(t k )g(t n k )e 2πimt dt 2 k Z 1 f, T n g 1 (t)e 2πimt dt 2 f n (m) 2 dt f n 2 f, T L 2 [, ng 1 ] 1 2 L 2 [, 1 ]. Now we wnt to directly relte our -inner product to WH-frmes. We egin with the compression we referred to ove. Proposition 6.4. If g, h L 1 (R), then for ll f L 2 (R) we hve f, E m g E m h 1 f, g h, 1 m Z where the series converges unconditionlly in L 2 (R). Hence, f, g 1 g spn (E m g) m Z. Proof. By our second Riesz Representtion Theorem 5.8 we know tht f, g 1 L 2 [, 1 ]. Next, for ny m Z we hve f, E m g 1 f, g 1 (t)e 2πimt dt f, g 1 (m). Therefore, if we restrict ourselves to L 2 [, 1 ] we hve f, g (m)e 2πimt 1 f, g 1 m Z f, E m g E m m Z Now y 4.12 we hve 1 f, g h L 2 (R) 1. There re mny interesting consequences of this proposition. First we recpture the following result due to de Boor, DeVore, nd Ron [1] Corollry 6.5. For g L 2 (R) nd R, the orthogonl projection P of L 2 (R) onto spn (E m g) m Z is P f 1 g 2 1 f, g 1 g,

23 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 23 where if g 1 (t) then g(t) so we interpret g(t) g 2 1 (t). Proof. By Proposition 4.9, we hve tht ( E m g 1 ) m Z is n orthonorml sequence in L 2 (R). Hence, for ll f L 2 (R) we hve y Proposition 6.4 P f f, g Em g E m g 1 g 1 m Z g g g g f, E m E m f, 1 g 1 g 1 g 1 g 1 g 2 1 m Z Comining Theorem 4.13 nd Corollry 6.5 we hve: g 1 f, g 1 Proposition 6.6. If (g n ) is 1 -orthonorml sequence in L2 (R), then P (f) f, g n 1 g n, is the orthogonl projection of L 2 (R) onto spn (E m g n ) n,m Z This llows us to compress the opertors ssocited with WH-system (g,, ). In [13] nd [14], Ron nd Shen mke use of the Dul Grmin to nlyze WHsystem (g, 1, ). This will correspond to compression of the frme opertor of the system (ĝ,, 1). Here we produce similr results for the frme opertor, prefrme opertor nd frme trnsform in the spce domin. Proposition 6.7. If g 1 opertor hve the following compressions 1 T (f) n B.e. then the frme trnsform nd the prefrme f, e n 1 T n g nd T (f) 1 where e n T n 1 [, 1 ), the stndrd 1 -orthonorml sis. Proof. If g 1 T (f) m,n B, y Proposition 6.4 we hve f, E m T n g E m T n (1 [, 1 ]) 1 n n f, T n g 1 e n f, T n g 1 e n, where we used the fct tht ( E m T n (1 [, 1 ])) is n orthonorml sis for L 2 (R). Hence T must e 1 fctorle which in turn implies T is. Continuing we get T (f) n T (f), e n 1 e n n f, T (e n ) 1 e n g.

24 24 PETER G. CASAZZA AND M. C. LAMMERS So T (e n ) 1 T ng nd the rest follows. Theorem 6.8. If (g,, ) is PF with frme opertor S, then S hs the form S(f) 1 f, T n g 1 T n g 1 P n f T n g 2 1, where P n is the orthogonl projection of L 2 (R) onto spn (E m T n g) m Z nd the series converges unconditionlly in L 2 (R). Proof. If (g,, ) is WH-frme then y Proposition 2.7 we hve tht g, g 1 B.e. Now, y definition of the frme opertor S we hve S(f) m, f, E m T n g E m T n g ( ) f, E m T n g E m T n g m Z 1 f, T n g 1 T n g. An ppliction of Corollry 6.5 nd Theorem 3.4 (1) completes the proof. We summrize some of the known results out normlized tight WH-frmes in the the following Proposition. These results re due to vrious uthors. Direct proofs from the definitions s well s historicl development my e found in [3]. Proposition 6.9. Let (g,, ) e WH-frme. the following re equivlent: (1) (E m T n g) n,m Z is normlized tight Weyl-Heisenerg frme. (2) ( 1 T n g) is n orthonorml sequence in the -inner product. (3) We hve tht g T k g, for ll k nd g, g.e. Putting Corollry 6.6 nd Proposition 6.9 together we hve Corollry 6.1. If (g,, ) is normlized tight Weyl-Heisenerg frme, then P (f) 1 f, T n g T n g is the orthogonl projection of L 2 (R) onto spn (E m T n g) n,m Z. Given the compressed representtion of the frme opertor it is now nturl to exmine the notion of frme nd Riesz sis with respect to pointwise inner product.

25 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 25 Definition We sy tht sequence f n L 2 (R) is -Riesz sic sequence if there is n -orthonorml sis (g n ) nd n -fctorle opertor L on L 2 (R) with L(g n ) f n so tht L is invertile on its rnge. If L is surjective, we cll (f n ) -Riesz sis for L 2 (R). Proposition Let f n L 2 (R), for ll n Z. The following re equivlent: (1) (f n ) is n -Riesz sic sequence. (2) (E m f n) is Riesz sic sequence. Proof. (1) (2): By ssumption, there is n -orthonorml sis (g n ) nd n -fctorle opertor L with L(g n ) f n for ll n Z. By the definition of n -orthonorml sis we hve tht ( 1 E m g n) m, is n orthonorml sis for L 2 (R). Since L is n isomorphism, it follows tht (L( 1 E m g n)) n,m Z ( 1 E m L(g n)) n,m Z ( 1 E m f n) n,m Z is Riesz sic sequence. (2) (1): Let g χ [,) so tht ( 1 E m T ng) m, is n orthonorml sis for L 2 (R). Then L( 1 E m T ng) E m f n is n -fctorle liner opertor which is n isomorphism ecuse (E m f n) is Riesz sic sequence. Hence, (f n ) is n -Riesz sic sequence. Corollry Let f n L 2 (R), for ll n Z. The following re equivlent: (1) (f n ) is n -Riesz sis. (2) (E m f n) is Riesz sis for L 2 (R). Since the inner product on Hilert spce is used to define frme, we cn get corresponding concept for the -inner product. Definition If g n L 2 (R), for ll n Z, we cll (g n ) n -frme sequence if there exist constnts A, B > so tht for ll f spn (E m g n) m, we hve A f 2 (t) f, g n (t) 2 B f 2 (t). If the inequlity ove holds for ll f L 2 (R) then we cll (g n ) n -frme. Now we hve the corresponding result to Theorem 2.2. Theorem Let g n L 2 (R), for ll n Z. The following re equivlent: (1) (g n ) is n -frme. (2) If (e n ) is n -orthonorml sis for L 2 (R), nd T : L 2 (R) L 2 (R) with T (e n ) g n is -fctorle, then T is ounded, liner surjective opertor on L 2 (R).

26 26 PETER G. CASAZZA AND M. C. LAMMERS Proof. If T (e n ) g n, then T (f), e n f, T (e n ) f, g n. Hence, y Theorem 4.13 we hve tht T (f) f, g n e n nd T (f) 2 f, g n 2. Hence, (g n ) is n -frme sequence if nd only if A f 2 (t) T (f) 2 (t) B f 2 (t), for ll f L 2 (R). But, y Proposition 5.9, this is equivlent to T eing n isomorphism, which itself is equivlent to T eing ounded, liner onto opertor. Finlly, we cn relte this ck to our regulr frme sequences. Proposition Let g n L 2 (R), for ll n Z. The following re equivlent: (1) (g n ) is n -frme sequence. (2) (E m g n) m, is frme sequence. Proof. (1) (2): If (g n ) is n -frme sequence, then there is n -orthonorml sis (e n ) for L 2 (R) nd n -fctorle onto (closed rnge) opertor T (e n ) g n. Now, (E m e n) n,m Z is n orthonorml sis for L 2 (R) nd T (E m e n) E m T (e n) E m g n. Hence, (E m g n) m, is frme sequence. (2) (1): Reverse the steps in prt I ove. The following Corollry is immedite from Theorem 6.15 nd Proposition Corollry Let g L 2 (R) nd, R. The following re equivlent: (1) (g, ) is 1 -frme. (2) (g,, ) is Weyl-Heisenerg frme. We conclude this pper with the following remrk out some ongoing reserch of Michel Frnk nd the two uthors. One cn show tht the spce L (R) my e viewed s the Leesgue spce L (l 2 ). If f, g L (R) then f, g (t) L [, ] insted of L 1 [, ]. This dense suspce of L 2 (R) equipped with the -inner product cn e viewed s Hilert C -Module where the rnge spce of the inner product is now the C -Alger L [, ]. The corollry ove shows tht there is strong connection etween frmes of trnsltes for this Hilert C -Module nd WH-frmes. This opens the door for pssing results ck nd forth etween WH-systems nd certin Hilert C - modules.

27 BRACKET PRODUCTS FOR WEYL-HEISENBERG FRAMES 27 References [1] C. de Boor, R. DeVore nd A. Ron,Approximtion from shift invrint suspces of L 2 (R d ), Trns. Amer. Mth. Soc., (1994) 341: [2] C. de Boor, R. DeVore nd A. Ron,The Structure of shift invrint spces nd pplictions to pproximtion theory, J. Functionl Anl. No. 119 (1994), [3] P.G. Cszz, O. Christensen, nd A.J.E.M. Jnssen, Clssifying tight Weyl- Heisenerg frmes, The Functionl nd Hrmonic Anlysis of Wvelets nd Frmes, Cont. Mth. Vol 247, L. Bgget nd D. Lrson Edts., (1999) [4] I. Duechies, The wvelet trnsform, time-frequency locliztion nd signl nlysis. IEEE Trns. Inform. Theory, 36 (5) (199) [5] I Duechies, A. Grossmnn, nd Y. Meyer, Pinless nonorthogonl expnsions. J. Mth. Phys. 27 (1986) [6] I. Duechies, H. Lndu nd Z. Lndu, Gor time-frequency lttices nd the Wexler-Rx identity, J. Fourier Anl. nd Appls. (1) No. 4 (1995) [7] R.J. Duffin nd A.C. Scheffer, A clss of non-hrmonic Fourier series. Trns. AMS 72 (1952) [8] D. Gor, Theory of communictions. Jour. Inst. Elec. Eng. (London) 93 (1946) [9] C. Heil nd D. Wlnut, Continuous nd discrete wvelet trnsforms, SIAM Review, 31 (4) (1989) [1] A.J.E.M. Jnssen, Dulity nd iorthogonlity for Weyl-Heisenerg frmes, Jour. Fourier Anl. nd Appl. 1 (4) (1995) [11] A.J.E.M. Jnssen, The dulity condition for Weyl-Heisenerg frmes, in Gor Anlysis nd Algorithms: Theory nd Applictions, H.G. Feichtinger nd T. Strohmer Eds., Applied nd Numericl Hrmonic Anlysis, Birkhäuser, Boston (1998) [12] I. Reurn nd D. Willims, Morit Equivlence nd Continuous-Trce C - Algers, AMS, Providence, RI, (1998) [13] A. Ron nd Z. Shen, Frmes nd stle sis for shift-invrint suspces of L 2 (R d ), Cndin J. Mth. 47 (1995), [14] A. Ron nd Z. Shen, Weyl-Heisenerg frmes nd Riesz ses in L 2 (R d ), Duke Mth. J. 89 (1997) Dept. of Mthemtics, University of Missouri-Columi, Columi, MO 65211, nd Dept. of Mthemtics, University of South Crolin, Columi, SC 2928 E-mil ddress: pete@mth.missouri.edu;lmmers@mth.sc.edu

Regular Sets and Expressions

Regular Sets and Expressions Regulr Sets nd Expressions Finite utomt re importnt in science, mthemtics, nd engineering. Engineers like them ecuse they re super models for circuits (And, since the dvent of VLSI systems sometimes finite

More information

4.11 Inner Product Spaces

4.11 Inner Product Spaces 314 CHAPTER 4 Vector Spces 9. A mtrix of the form 0 0 b c 0 d 0 0 e 0 f g 0 h 0 cnnot be invertible. 10. A mtrix of the form bc d e f ghi such tht e bd = 0 cnnot be invertible. 4.11 Inner Product Spces

More information

and thus, they are similar. If k = 3 then the Jordan form of both matrices is

and thus, they are similar. If k = 3 then the Jordan form of both matrices is Homework ssignment 11 Section 7. pp. 249-25 Exercise 1. Let N 1 nd N 2 be nilpotent mtrices over the field F. Prove tht N 1 nd N 2 re similr if nd only if they hve the sme miniml polynomil. Solution: If

More information

LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES

LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES LINEAR TRANSFORMATIONS AND THEIR REPRESENTING MATRICES DAVID WEBB CONTENTS Liner trnsformtions 2 The representing mtrix of liner trnsformtion 3 3 An ppliction: reflections in the plne 6 4 The lgebr of

More information

MODULE 3. 0, y = 0 for all y

MODULE 3. 0, y = 0 for all y Topics: Inner products MOULE 3 The inner product of two vectors: The inner product of two vectors x, y V, denoted by x, y is (in generl) complex vlued function which hs the following four properties: i)

More information

Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding

Example A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding 1 Exmple A rectngulr box without lid is to be mde from squre crdbord of sides 18 cm by cutting equl squres from ech corner nd then folding up the sides. 1 Exmple A rectngulr box without lid is to be mde

More information

EQUATIONS OF LINES AND PLANES

EQUATIONS OF LINES AND PLANES EQUATIONS OF LINES AND PLANES MATH 195, SECTION 59 (VIPUL NAIK) Corresponding mteril in the ook: Section 12.5. Wht students should definitely get: Prmetric eqution of line given in point-direction nd twopoint

More information

Reasoning to Solve Equations and Inequalities

Reasoning to Solve Equations and Inequalities Lesson4 Resoning to Solve Equtions nd Inequlities In erlier work in this unit, you modeled situtions with severl vriles nd equtions. For exmple, suppose you were given usiness plns for concert showing

More information

Example 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers.

Example 27.1 Draw a Venn diagram to show the relationship between counting numbers, whole numbers, integers, and rational numbers. 2 Rtionl Numbers Integers such s 5 were importnt when solving the eqution x+5 = 0. In similr wy, frctions re importnt for solving equtions like 2x = 1. Wht bout equtions like 2x + 1 = 0? Equtions of this

More information

2005-06 Second Term MAT2060B 1. Supplementary Notes 3 Interchange of Differentiation and Integration

2005-06 Second Term MAT2060B 1. Supplementary Notes 3 Interchange of Differentiation and Integration Source: http://www.mth.cuhk.edu.hk/~mt26/mt26b/notes/notes3.pdf 25-6 Second Term MAT26B 1 Supplementry Notes 3 Interchnge of Differentition nd Integrtion The theme of this course is bout vrious limiting

More information

Section 5-4 Trigonometric Functions

Section 5-4 Trigonometric Functions 5- Trigonometric Functions Section 5- Trigonometric Functions Definition of the Trigonometric Functions Clcultor Evlution of Trigonometric Functions Definition of the Trigonometric Functions Alternte Form

More information

9 CONTINUOUS DISTRIBUTIONS

9 CONTINUOUS DISTRIBUTIONS 9 CONTINUOUS DISTIBUTIONS A rndom vrible whose vlue my fll nywhere in rnge of vlues is continuous rndom vrible nd will be ssocited with some continuous distribution. Continuous distributions re to discrete

More information

Bayesian Updating with Continuous Priors Class 13, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom

Bayesian Updating with Continuous Priors Class 13, 18.05, Spring 2014 Jeremy Orloff and Jonathan Bloom Byesin Updting with Continuous Priors Clss 3, 8.05, Spring 04 Jeremy Orloff nd Jonthn Bloom Lerning Gols. Understnd prmeterized fmily of distriutions s representing continuous rnge of hypotheses for the

More information

Homework 3 Solutions

Homework 3 Solutions CS 341: Foundtions of Computer Science II Prof. Mrvin Nkym Homework 3 Solutions 1. Give NFAs with the specified numer of sttes recognizing ech of the following lnguges. In ll cses, the lphet is Σ = {,1}.

More information

Appendix D: Completing the Square and the Quadratic Formula. In Appendix A, two special cases of expanding brackets were considered:

Appendix D: Completing the Square and the Quadratic Formula. In Appendix A, two special cases of expanding brackets were considered: Appendi D: Completing the Squre nd the Qudrtic Formul Fctoring qudrtic epressions such s: + 6 + 8 ws one of the topics introduced in Appendi C. Fctoring qudrtic epressions is useful skill tht cn help you

More information

PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY

PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY MAT 0630 INTERNET RESOURCES, REVIEW OF CONCEPTS AND COMMON MISTAKES PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY Contents 1. ACT Compss Prctice Tests 1 2. Common Mistkes 2 3. Distributive

More information

SPECIAL PRODUCTS AND FACTORIZATION

SPECIAL PRODUCTS AND FACTORIZATION MODULE - Specil Products nd Fctoriztion 4 SPECIAL PRODUCTS AND FACTORIZATION In n erlier lesson you hve lernt multipliction of lgebric epressions, prticulrly polynomils. In the study of lgebr, we come

More information

Lecture 5. Inner Product

Lecture 5. Inner Product Lecture 5 Inner Product Let us strt with the following problem. Given point P R nd line L R, how cn we find the point on the line closest to P? Answer: Drw line segment from P meeting the line in right

More information

The Fundamental Theorem of Calculus for Lebesgue Integral

The Fundamental Theorem of Calculus for Lebesgue Integral Divulgciones Mtemátics Vol. 8 No. 1 (2000), pp. 75 85 The Fundmentl Theorem of Clculus for Lebesgue Integrl El Teorem Fundmentl del Cálculo pr l Integrl de Lebesgue Diómedes Bárcens (brcens@ciens.ul.ve)

More information

A.7.1 Trigonometric interpretation of dot product... 324. A.7.2 Geometric interpretation of dot product... 324

A.7.1 Trigonometric interpretation of dot product... 324. A.7.2 Geometric interpretation of dot product... 324 A P P E N D I X A Vectors CONTENTS A.1 Scling vector................................................ 321 A.2 Unit or Direction vectors...................................... 321 A.3 Vector ddition.................................................

More information

4 Approximations. 4.1 Background. D. Levy

4 Approximations. 4.1 Background. D. Levy D. Levy 4 Approximtions 4.1 Bckground In this chpter we re interested in pproximtion problems. Generlly speking, strting from function f(x) we would like to find different function g(x) tht belongs to

More information

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( ) Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +

More information

All pay auctions with certain and uncertain prizes a comment

All pay auctions with certain and uncertain prizes a comment CENTER FOR RESEARC IN ECONOMICS AND MANAGEMENT CREAM Publiction No. 1-2015 All py uctions with certin nd uncertin prizes comment Christin Riis All py uctions with certin nd uncertin prizes comment Christin

More information

5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one.

5.2. LINE INTEGRALS 265. Let us quickly review the kind of integrals we have studied so far before we introduce a new one. 5.2. LINE INTEGRALS 265 5.2 Line Integrls 5.2.1 Introduction Let us quickly review the kind of integrls we hve studied so fr before we introduce new one. 1. Definite integrl. Given continuous rel-vlued

More information

Or more simply put, when adding or subtracting quantities, their uncertainties add.

Or more simply put, when adding or subtracting quantities, their uncertainties add. Propgtion of Uncertint through Mthemticl Opertions Since the untit of interest in n eperiment is rrel otined mesuring tht untit directl, we must understnd how error propgtes when mthemticl opertions re

More information

Basic Analysis of Autarky and Free Trade Models

Basic Analysis of Autarky and Free Trade Models Bsic Anlysis of Autrky nd Free Trde Models AUTARKY Autrky condition in prticulr commodity mrket refers to sitution in which country does not engge in ny trde in tht commodity with other countries. Consequently

More information

Vectors 2. 1. Recap of vectors

Vectors 2. 1. Recap of vectors Vectors 2. Recp of vectors Vectors re directed line segments - they cn be represented in component form or by direction nd mgnitude. We cn use trigonometry nd Pythgors theorem to switch between the forms

More information

Math 314, Homework Assignment 1. 1. Prove that two nonvertical lines are perpendicular if and only if the product of their slopes is 1.

Math 314, Homework Assignment 1. 1. Prove that two nonvertical lines are perpendicular if and only if the product of their slopes is 1. Mth 4, Homework Assignment. Prove tht two nonverticl lines re perpendiculr if nd only if the product of their slopes is. Proof. Let l nd l e nonverticl lines in R of slopes m nd m, respectively. Suppose

More information

Pentominoes. Pentominoes. Bruce Baguley Cascade Math Systems, LLC. The pentominoes are a simple-looking set of objects through which some powerful

Pentominoes. Pentominoes. Bruce Baguley Cascade Math Systems, LLC. The pentominoes are a simple-looking set of objects through which some powerful Pentominoes Bruce Bguley Cscde Mth Systems, LLC Astrct. Pentominoes nd their reltives the polyominoes, polycues, nd polyhypercues will e used to explore nd pply vrious importnt mthemticl concepts. In this

More information

INTERCHANGING TWO LIMITS. Zoran Kadelburg and Milosav M. Marjanović

INTERCHANGING TWO LIMITS. Zoran Kadelburg and Milosav M. Marjanović THE TEACHING OF MATHEMATICS 2005, Vol. VIII, 1, pp. 15 29 INTERCHANGING TWO LIMITS Zorn Kdelburg nd Milosv M. Mrjnović This pper is dedicted to the memory of our illustrious professor of nlysis Slobodn

More information

Math 135 Circles and Completing the Square Examples

Math 135 Circles and Completing the Square Examples Mth 135 Circles nd Completing the Squre Exmples A perfect squre is number such tht = b 2 for some rel number b. Some exmples of perfect squres re 4 = 2 2, 16 = 4 2, 169 = 13 2. We wish to hve method for

More information

Babylonian Method of Computing the Square Root: Justifications Based on Fuzzy Techniques and on Computational Complexity

Babylonian Method of Computing the Square Root: Justifications Based on Fuzzy Techniques and on Computational Complexity Bbylonin Method of Computing the Squre Root: Justifictions Bsed on Fuzzy Techniques nd on Computtionl Complexity Olg Koshelev Deprtment of Mthemtics Eduction University of Texs t El Pso 500 W. University

More information

How To Understand The Theory Of Inequlities

How To Understand The Theory Of Inequlities Ostrowski Type Inequlities nd Applictions in Numericl Integrtion Edited By: Sever S Drgomir nd Themistocles M Rssis SS Drgomir) School nd Communictions nd Informtics, Victori University of Technology,

More information

Lecture 3 Gaussian Probability Distribution

Lecture 3 Gaussian Probability Distribution Lecture 3 Gussin Probbility Distribution Introduction l Gussin probbility distribution is perhps the most used distribution in ll of science. u lso clled bell shped curve or norml distribution l Unlike

More information

. At first sight a! b seems an unwieldy formula but use of the following mnemonic will possibly help. a 1 a 2 a 3 a 1 a 2

. At first sight a! b seems an unwieldy formula but use of the following mnemonic will possibly help. a 1 a 2 a 3 a 1 a 2 7 CHAPTER THREE. Cross Product Given two vectors = (,, nd = (,, in R, the cross product of nd written! is defined to e: " = (!,!,! Note! clled cross is VECTOR (unlike which is sclr. Exmple (,, " (4,5,6

More information

Factoring Polynomials

Factoring Polynomials Fctoring Polynomils Some definitions (not necessrily ll for secondry school mthemtics): A polynomil is the sum of one or more terms, in which ech term consists of product of constnt nd one or more vribles

More information

Integration. 148 Chapter 7 Integration

Integration. 148 Chapter 7 Integration 48 Chpter 7 Integrtion 7 Integrtion t ech, by supposing tht during ech tenth of second the object is going t constnt speed Since the object initilly hs speed, we gin suppose it mintins this speed, but

More information

Graphs on Logarithmic and Semilogarithmic Paper

Graphs on Logarithmic and Semilogarithmic Paper 0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl

More information

Binary Representation of Numbers Autar Kaw

Binary Representation of Numbers Autar Kaw Binry Representtion of Numbers Autr Kw After reding this chpter, you should be ble to: 1. convert bse- rel number to its binry representtion,. convert binry number to n equivlent bse- number. In everydy

More information

FUNCTIONS AND EQUATIONS. xεs. The simplest way to represent a set is by listing its members. We use the notation

FUNCTIONS AND EQUATIONS. xεs. The simplest way to represent a set is by listing its members. We use the notation FUNCTIONS AND EQUATIONS. SETS AND SUBSETS.. Definition of set. A set is ny collection of objects which re clled its elements. If x is n element of the set S, we sy tht x belongs to S nd write If y does

More information

1.2 The Integers and Rational Numbers

1.2 The Integers and Rational Numbers .2. THE INTEGERS AND RATIONAL NUMBERS.2 The Integers n Rtionl Numers The elements of the set of integers: consist of three types of numers: Z {..., 5, 4, 3, 2,, 0,, 2, 3, 4, 5,...} I. The (positive) nturl

More information

Physics 43 Homework Set 9 Chapter 40 Key

Physics 43 Homework Set 9 Chapter 40 Key Physics 43 Homework Set 9 Chpter 4 Key. The wve function for n electron tht is confined to x nm is. Find the normliztion constnt. b. Wht is the probbility of finding the electron in. nm-wide region t x

More information

CS99S Laboratory 2 Preparation Copyright W. J. Dally 2001 October 1, 2001

CS99S Laboratory 2 Preparation Copyright W. J. Dally 2001 October 1, 2001 CS99S Lortory 2 Preprtion Copyright W. J. Dlly 2 Octoer, 2 Ojectives:. Understnd the principle of sttic CMOS gte circuits 2. Build simple logic gtes from MOS trnsistors 3. Evlute these gtes to oserve logic

More information

Physics 6010, Fall 2010 Symmetries and Conservation Laws: Energy, Momentum and Angular Momentum Relevant Sections in Text: 2.6, 2.

Physics 6010, Fall 2010 Symmetries and Conservation Laws: Energy, Momentum and Angular Momentum Relevant Sections in Text: 2.6, 2. Physics 6010, Fll 2010 Symmetries nd Conservtion Lws: Energy, Momentum nd Angulr Momentum Relevnt Sections in Text: 2.6, 2.7 Symmetries nd Conservtion Lws By conservtion lw we men quntity constructed from

More information

MATH 150 HOMEWORK 4 SOLUTIONS

MATH 150 HOMEWORK 4 SOLUTIONS MATH 150 HOMEWORK 4 SOLUTIONS Section 1.8 Show tht the product of two of the numbers 65 1000 8 2001 + 3 177, 79 1212 9 2399 + 2 2001, nd 24 4493 5 8192 + 7 1777 is nonnegtive. Is your proof constructive

More information

6.2 Volumes of Revolution: The Disk Method

6.2 Volumes of Revolution: The Disk Method mth ppliction: volumes of revolution, prt ii Volumes of Revolution: The Disk Method One of the simplest pplictions of integrtion (Theorem ) nd the ccumultion process is to determine so-clled volumes of

More information

Review guide for the final exam in Math 233

Review guide for the final exam in Math 233 Review guide for the finl exm in Mth 33 1 Bsic mteril. This review includes the reminder of the mteril for mth 33. The finl exm will be cumultive exm with mny of the problems coming from the mteril covered

More information

Section 7-4 Translation of Axes

Section 7-4 Translation of Axes 62 7 ADDITIONAL TOPICS IN ANALYTIC GEOMETRY Section 7-4 Trnsltion of Aes Trnsltion of Aes Stndrd Equtions of Trnslted Conics Grphing Equtions of the Form A 2 C 2 D E F 0 Finding Equtions of Conics In the

More information

0.1 Basic Set Theory and Interval Notation

0.1 Basic Set Theory and Interval Notation 0.1 Bsic Set Theory nd Intervl Nottion 3 0.1 Bsic Set Theory nd Intervl Nottion 0.1.1 Some Bsic Set Theory Notions Like ll good Mth ooks, we egin with definition. Definition 0.1. A set is well-defined

More information

Experiment 6: Friction

Experiment 6: Friction Experiment 6: Friction In previous lbs we studied Newton s lws in n idel setting, tht is, one where friction nd ir resistnce were ignored. However, from our everydy experience with motion, we know tht

More information

Karlstad University. Division for Engineering Science, Physics and Mathematics. Yury V. Shestopalov and Yury G. Smirnov. Integral Equations

Karlstad University. Division for Engineering Science, Physics and Mathematics. Yury V. Shestopalov and Yury G. Smirnov. Integral Equations Krlstd University Division for Engineering Science, Physics nd Mthemtics Yury V. Shestoplov nd Yury G. Smirnov Integrl Equtions A compendium Krlstd Contents 1 Prefce 4 Notion nd exmples of integrl equtions

More information

QUADRATURE METHODS. July 19, 2011. Kenneth L. Judd. Hoover Institution

QUADRATURE METHODS. July 19, 2011. Kenneth L. Judd. Hoover Institution QUADRATURE METHODS Kenneth L. Judd Hoover Institution July 19, 2011 1 Integrtion Most integrls cnnot be evluted nlyticlly Integrls frequently rise in economics Expected utility Discounted utility nd profits

More information

Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions.

Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions. Lerning Objectives Loci nd Conics Lesson 3: The Ellipse Level: Preclculus Time required: 120 minutes In this lesson, students will generlize their knowledge of the circle to the ellipse. The prmetric nd

More information

Integration by Substitution

Integration by Substitution Integrtion by Substitution Dr. Philippe B. Lvl Kennesw Stte University August, 8 Abstrct This hndout contins mteril on very importnt integrtion method clled integrtion by substitution. Substitution is

More information

CURVES ANDRÉ NEVES. that is, the curve α has finite length. v = p q p q. a i.e., the curve of smallest length connecting p to q is a straight line.

CURVES ANDRÉ NEVES. that is, the curve α has finite length. v = p q p q. a i.e., the curve of smallest length connecting p to q is a straight line. CURVES ANDRÉ NEVES 1. Problems (1) (Ex 1 of 1.3 of Do Crmo) Show tht the tngent line to the curve α(t) (3t, 3t 2, 2t 3 ) mkes constnt ngle with the line z x, y. (2) (Ex 6 of 1.3 of Do Crmo) Let α(t) (e

More information

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100

Mathematics. Vectors. hsn.uk.net. Higher. Contents. Vectors 128 HSN23100 hsn.uk.net Higher Mthemtics UNIT 3 OUTCOME 1 Vectors Contents Vectors 18 1 Vectors nd Sclrs 18 Components 18 3 Mgnitude 130 4 Equl Vectors 131 5 Addition nd Subtrction of Vectors 13 6 Multipliction by

More information

PHY 140A: Solid State Physics. Solution to Homework #2

PHY 140A: Solid State Physics. Solution to Homework #2 PHY 140A: Solid Stte Physics Solution to Homework # TA: Xun Ji 1 October 14, 006 1 Emil: jixun@physics.ucl.edu Problem #1 Prove tht the reciprocl lttice for the reciprocl lttice is the originl lttice.

More information

15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style

15.6. The mean value and the root-mean-square value of a function. Introduction. Prerequisites. Learning Outcomes. Learning Style The men vlue nd the root-men-squre vlue of function 5.6 Introduction Currents nd voltges often vry with time nd engineers my wish to know the verge vlue of such current or voltge over some prticulr time

More information

Algebra Review. How well do you remember your algebra?

Algebra Review. How well do you remember your algebra? Algebr Review How well do you remember your lgebr? 1 The Order of Opertions Wht do we men when we write + 4? If we multiply we get 6 nd dding 4 gives 10. But, if we dd + 4 = 7 first, then multiply by then

More information

Distributions. (corresponding to the cumulative distribution function for the discrete case).

Distributions. (corresponding to the cumulative distribution function for the discrete case). Distributions Recll tht n integrble function f : R [,] such tht R f()d = is clled probbility density function (pdf). The distribution function for the pdf is given by F() = (corresponding to the cumultive

More information

UNIVERSITY OF NOTTINGHAM. Discussion Papers in Economics STRATEGIC SECOND SOURCING IN A VERTICAL STRUCTURE

UNIVERSITY OF NOTTINGHAM. Discussion Papers in Economics STRATEGIC SECOND SOURCING IN A VERTICAL STRUCTURE UNVERSTY OF NOTTNGHAM Discussion Ppers in Economics Discussion Pper No. 04/15 STRATEGC SECOND SOURCNG N A VERTCAL STRUCTURE By Arijit Mukherjee September 004 DP 04/15 SSN 10-438 UNVERSTY OF NOTTNGHAM Discussion

More information

Homogenization of a parabolic equation in perforated domain with Neumann boundary condition

Homogenization of a parabolic equation in perforated domain with Neumann boundary condition Proc. Indin Acd. Sci. Mth. Sci. Vol. 112, No. 1, Februry 22, pp. 195 27. Printed in Indi Homogeniztion of prbolic eqution in perforted domin with Neumnn boundry condition A K NANDAKUMARAN nd M RAJESH Deprtment

More information

1B METHODS LECTURE NOTES. PART I: Fourier series, Self adjoint ODEs

1B METHODS LECTURE NOTES. PART I: Fourier series, Self adjoint ODEs 1B Methods 1. 1B METHODS ECTURE NOTES Richrd Jozs, DAMTP Cmbridge rj31@cm.c.uk October 213 PART I: Fourier series, Self djoint ODEs 1B Methods 2 PREFACE These notes (in four prts cover the essentil content

More information

2 DIODE CLIPPING and CLAMPING CIRCUITS

2 DIODE CLIPPING and CLAMPING CIRCUITS 2 DIODE CLIPPING nd CLAMPING CIRCUITS 2.1 Ojectives Understnding the operting principle of diode clipping circuit Understnding the operting principle of clmping circuit Understnding the wveform chnge of

More information

9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes

9.3. The Scalar Product. Introduction. Prerequisites. Learning Outcomes The Sclr Product 9.3 Introduction There re two kinds of multipliction involving vectors. The first is known s the sclr product or dot product. This is so-clled becuse when the sclr product of two vectors

More information

Hillsborough Township Public Schools Mathematics Department Computer Programming 1

Hillsborough Township Public Schools Mathematics Department Computer Programming 1 Essentil Unit 1 Introduction to Progrmming Pcing: 15 dys Common Unit Test Wht re the ethicl implictions for ming in tody s world? There re ethicl responsibilities to consider when writing computer s. Citizenship,

More information

Vector differentiation. Chapters 6, 7

Vector differentiation. Chapters 6, 7 Chpter 2 Vectors Courtesy NASA/JPL-Cltech Summry (see exmples in Hw 1, 2, 3) Circ 1900 A.D., J. Willird Gis invented useful comintion of mgnitude nd direction clled vectors nd their higher-dimensionl counterprts

More information

Answer, Key Homework 10 David McIntyre 1

Answer, Key Homework 10 David McIntyre 1 Answer, Key Homework 10 Dvid McIntyre 1 This print-out should hve 22 questions, check tht it is complete. Multiple-choice questions my continue on the next column or pge: find ll choices efore mking your

More information

Lectures 8 and 9 1 Rectangular waveguides

Lectures 8 and 9 1 Rectangular waveguides 1 Lectures 8 nd 9 1 Rectngulr wveguides y b x z Consider rectngulr wveguide with 0 < x b. There re two types of wves in hollow wveguide with only one conductor; Trnsverse electric wves

More information

Vectors. The magnitude of a vector is its length, which can be determined by Pythagoras Theorem. The magnitude of a is written as a.

Vectors. The magnitude of a vector is its length, which can be determined by Pythagoras Theorem. The magnitude of a is written as a. Vectors mesurement which onl descries the mgnitude (i.e. size) of the oject is clled sclr quntit, e.g. Glsgow is 11 miles from irdrie. vector is quntit with mgnitude nd direction, e.g. Glsgow is 11 miles

More information

Unit 6: Exponents and Radicals

Unit 6: Exponents and Radicals Eponents nd Rdicls -: The Rel Numer Sstem Unit : Eponents nd Rdicls Pure Mth 0 Notes Nturl Numers (N): - counting numers. {,,,,, } Whole Numers (W): - counting numers with 0. {0,,,,,, } Integers (I): -

More information

Operations with Polynomials

Operations with Polynomials 38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: Write polynomils in stndrd form nd identify the leding coefficients nd degrees of polynomils Add nd subtrct polynomils Multiply

More information

19. The Fermat-Euler Prime Number Theorem

19. The Fermat-Euler Prime Number Theorem 19. The Fermt-Euler Prime Number Theorem Every prime number of the form 4n 1 cn be written s sum of two squres in only one wy (side from the order of the summnds). This fmous theorem ws discovered bout

More information

Small Businesses Decisions to Offer Health Insurance to Employees

Small Businesses Decisions to Offer Health Insurance to Employees Smll Businesses Decisions to Offer Helth Insurnce to Employees Ctherine McLughlin nd Adm Swinurn, June 2014 Employer-sponsored helth insurnce (ESI) is the dominnt source of coverge for nonelderly dults

More information

Treatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3.

Treatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3. The nlysis of vrince (ANOVA) Although the t-test is one of the most commonly used sttisticl hypothesis tests, it hs limittions. The mjor limittion is tht the t-test cn be used to compre the mens of only

More information

RIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS

RIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS RIGHT TRIANGLES AND THE PYTHAGOREAN TRIPLETS Known for over 500 yers is the fct tht the sum of the squres of the legs of right tringle equls the squre of the hypotenuse. Tht is +b c. A simple proof is

More information

Brillouin Zones. Physics 3P41 Chris Wiebe

Brillouin Zones. Physics 3P41 Chris Wiebe Brillouin Zones Physics 3P41 Chris Wiebe Direct spce to reciprocl spce * = 2 i j πδ ij Rel (direct) spce Reciprocl spce Note: The rel spce nd reciprocl spce vectors re not necessrily in the sme direction

More information

5 a LAN 6 a gateway 7 a modem

5 a LAN 6 a gateway 7 a modem STARTER With the help of this digrm, try to descrie the function of these components of typicl network system: 1 file server 2 ridge 3 router 4 ckone 5 LAN 6 gtewy 7 modem Another Novell LAN Router Internet

More information

According to Webster s, the

According to Webster s, the dt modeling Universl Dt Models nd P tterns By Len Silversn According Webster s, term universl cn be defined s generlly pplicble s well s pplying whole. There re some very common ptterns tht cn be generlly

More information

The Riemann Integral. Chapter 1

The Riemann Integral. Chapter 1 Chpter The Riemnn Integrl now of some universities in Englnd where the Lebesgue integrl is tught in the first yer of mthemtics degree insted of the Riemnn integrl, but now of no universities in Englnd

More information

AA1H Calculus Notes Math1115, Honours 1 1998. John Hutchinson

AA1H Calculus Notes Math1115, Honours 1 1998. John Hutchinson AA1H Clculus Notes Mth1115, Honours 1 1998 John Hutchinson Author ddress: Deprtment of Mthemtics, School of Mthemticl Sciences, Austrlin Ntionl University E-mil ddress: John.Hutchinson@nu.edu.u Contents

More information

2m + V ( ˆX) (1) 2. Consider a particle in one dimensions whose Hamiltonian is given by

2m + V ( ˆX) (1) 2. Consider a particle in one dimensions whose Hamiltonian is given by Teoretisk Fysik KTH Advnced QM SI2380), Exercise 8 12 1. 3 Consider prticle in one dimensions whose Hmiltonin is given by Ĥ = ˆP 2 2m + V ˆX) 1) with [ ˆP, ˆX] = i. By clculting [ ˆX, [ ˆX, Ĥ]] prove tht

More information

1. In the Bohr model, compare the magnitudes of the electron s kinetic and potential energies in orbit. What does this imply?

1. In the Bohr model, compare the magnitudes of the electron s kinetic and potential energies in orbit. What does this imply? Assignment 3: Bohr s model nd lser fundmentls 1. In the Bohr model, compre the mgnitudes of the electron s kinetic nd potentil energies in orit. Wht does this imply? When n electron moves in n orit, the

More information

LITTLEWOOD-TYPE PROBLEMS ON SUBARCS OF THE UNIT CIRCLE. Peter Borwein and Tamás Erdélyi

LITTLEWOOD-TYPE PROBLEMS ON SUBARCS OF THE UNIT CIRCLE. Peter Borwein and Tamás Erdélyi LITTLEWOOD-TYPE PROBLEMS ON SUBARCS OF THE UNIT CIRCLE Peter Borwein nd Tmás Erdélyi Abstrct. The results of this pper show tht mny types of polynomils cnnot be smll on subrcs of the unit circle in the

More information

1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator

1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator AP Clculus Finl Review Sheet When you see the words. This is wht you think of doing. Find the zeros Find roots. Set function =, fctor or use qudrtic eqution if qudrtic, grph to find zeros on clcultor.

More information

Geometry 7-1 Geometric Mean and the Pythagorean Theorem

Geometry 7-1 Geometric Mean and the Pythagorean Theorem Geometry 7-1 Geometric Men nd the Pythgoren Theorem. Geometric Men 1. Def: The geometric men etween two positive numers nd is the positive numer x where: = x. x Ex 1: Find the geometric men etween the

More information

Module Summary Sheets. C3, Methods for Advanced Mathematics (Version B reference to new book) Topic 2: Natural Logarithms and Exponentials

Module Summary Sheets. C3, Methods for Advanced Mathematics (Version B reference to new book) Topic 2: Natural Logarithms and Exponentials MEI Mthemtics in Ection nd Instry Topic : Proof MEI Structured Mthemtics Mole Summry Sheets C, Methods for Anced Mthemtics (Version B reference to new book) Topic : Nturl Logrithms nd Eponentils Topic

More information

Chapter. Contents: A Constructing decimal numbers

Chapter. Contents: A Constructing decimal numbers Chpter 9 Deimls Contents: A Construting deiml numers B Representing deiml numers C Deiml urreny D Using numer line E Ordering deimls F Rounding deiml numers G Converting deimls to frtions H Converting

More information

g(y(a), y(b)) = o, B a y(a)+b b y(b)=c, Boundary Value Problems Lecture Notes to Accompany

g(y(a), y(b)) = o, B a y(a)+b b y(b)=c, Boundary Value Problems Lecture Notes to Accompany Lecture Notes to Accompny Scientific Computing An Introductory Survey Second Edition by Michel T Heth Boundry Vlue Problems Side conditions prescribing solution or derivtive vlues t specified points required

More information

LECTURE #05. Learning Objective. To describe the geometry in and around a unit cell in terms of directions and planes.

LECTURE #05. Learning Objective. To describe the geometry in and around a unit cell in terms of directions and planes. LECTURE #05 Chpter 3: Lttice Positions, Directions nd Plnes Lerning Objective To describe the geometr in nd round unit cell in terms of directions nd plnes. 1 Relevnt Reding for this Lecture... Pges 64-83.

More information

6 Energy Methods And The Energy of Waves MATH 22C

6 Energy Methods And The Energy of Waves MATH 22C 6 Energy Methods And The Energy of Wves MATH 22C. Conservtion of Energy We discuss the principle of conservtion of energy for ODE s, derive the energy ssocited with the hrmonic oscilltor, nd then use this

More information

The Velocity Factor of an Insulated Two-Wire Transmission Line

The Velocity Factor of an Insulated Two-Wire Transmission Line The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the

More information

Learning Outcomes. Computer Systems - Architecture Lecture 4 - Boolean Logic. What is Logic? Boolean Logic 10/28/2010

Learning Outcomes. Computer Systems - Architecture Lecture 4 - Boolean Logic. What is Logic? Boolean Logic 10/28/2010 /28/2 Lerning Outcomes At the end of this lecture you should: Computer Systems - Architecture Lecture 4 - Boolen Logic Eddie Edwrds eedwrds@doc.ic.c.uk http://www.doc.ic.c.uk/~eedwrds/compsys (Hevily sed

More information

Real Analysis and Multivariable Calculus: Graduate Level Problems and Solutions. Igor Yanovsky

Real Analysis and Multivariable Calculus: Graduate Level Problems and Solutions. Igor Yanovsky Rel Anlysis nd Multivrible Clculus: Grdute Level Problems nd Solutions Igor Ynovsky 1 Rel Anlysis nd Multivrible Clculus Igor Ynovsky, 2005 2 Disclimer: This hndbook is intended to ssist grdute students

More information

Scalar and Vector Quantities. A scalar is a quantity having only magnitude (and possibly phase). LECTURE 2a: VECTOR ANALYSIS Vector Algebra

Scalar and Vector Quantities. A scalar is a quantity having only magnitude (and possibly phase). LECTURE 2a: VECTOR ANALYSIS Vector Algebra Sclr nd Vector Quntities : VECTO NLYSIS Vector lgebr sclr is quntit hving onl mgnitude (nd possibl phse). Emples: voltge, current, chrge, energ, temperture vector is quntit hving direction in ddition to

More information

BANACH AND HILBERT SPACE REVIEW

BANACH AND HILBERT SPACE REVIEW BANACH AND HILBET SPACE EVIEW CHISTOPHE HEIL These notes will briefly review some basic concepts related to the theory of Banach and Hilbert spaces. We are not trying to give a complete development, but

More information

If two triangles are perspective from a point, then they are also perspective from a line.

If two triangles are perspective from a point, then they are also perspective from a line. Mth 487 hter 4 Prtie Prolem Solutions 1. Give the definition of eh of the following terms: () omlete qudrngle omlete qudrngle is set of four oints, no three of whih re olliner, nd the six lines inident

More information

Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm

Novel Methods of Generating Self-Invertible Matrix for Hill Cipher Algorithm Bibhudendr chry, Girij Snkr Rth, Srt Kumr Ptr, nd Sroj Kumr Pnigrhy Novel Methods of Generting Self-Invertible Mtrix for Hill Cipher lgorithm Bibhudendr chry Deprtment of Electronics & Communiction Engineering

More information

Gene Expression Programming: A New Adaptive Algorithm for Solving Problems

Gene Expression Programming: A New Adaptive Algorithm for Solving Problems Gene Expression Progrmming: A New Adptive Algorithm for Solving Prolems Cândid Ferreir Deprtmento de Ciêncis Agráris Universidde dos Açores 9701-851 Terr-Chã Angr do Heroísmo, Portugl Complex Systems,

More information