[ ) so that the function obtained (denoted, as before, by

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "[ ) so that the function obtained (denoted, as before, by"

Transcript

1 Ukrinin Mhemicl Journl, Vol. 56, No. 9, 4 APPROXIMATION OF FUNTIONS DEFINED ON THE REAL AXIS BY OPERATORS GENERATED BY -METHODS OF SUMMATION OF THEIR FOURIER INTEGRALS Yu. I. Khrkeych nd T. V. Zhyhllo UD 57.5 We obin sympoic equliies for upper bounds of he deiions of operors genered by - mehods (defined by collecion Λ ( of funcions coninuous on ; { } [ nd depending on rel prmeer on clsses of (, β -differenible funcions defined on he rel xis.. Auxiliry Asserions nd Semen of he Problem For mny yers, Sepnes nd his followers he inesiged he pproximion properies of he clsses L β nd ˆLβ defined by he propery h he generlized ( β-deriies, of heir elemens belong o cerin se. For numerous resuls concerning hese problems, see [ 9]. According o [3] (hp. IX, he clsses ˆLβ re defined s follows: Le L p, p, be he se of π-periodic funcions ϕ( wih finie norm ϕ p, where ϕ p π / p p ϕ d ( for p [ ; nd ϕ ϕ M ess sup ϕ(, so h L M. The spces ˆLp, p, re inroduced s he ses of (no necessrily periodic funcions ϕ( defined on he enire rel xis R nd hing finie norm ϕ ˆp, where ϕ pˆ + π / p p sup ϕ( R d for p [, nd ϕ ˆ ess sup ϕ(. I is obious h, for ll p, he inclusion Lp L ˆ p is lwys rue. Le denoe he se of funcions ( conex downwrd for ll nd such h lim (. [ so h he funcion obined (denoed, s before, by We exend eery funcion o he segmen, ( is coninuous for ll, (, nd is deriie ( ( + hs smll riion on he segmen [,. Denoe he se of hese funcions by. The subse of funcions for which Volyn Uniersiy, Lus k. Trnsled from Ukrins kyi Memychnyi Zhurnl, Vol. 56, No. 9, pp. 67 8, Sepember, 4. Originl ricle submied Noember, /4/ Springer Science+Business Medi, Inc. 59

2 5 YU. I. KHARKEVYH AND T. V. ZHYHALLO ( d < is denoed by F. We se ˆ ( ˆ ( ( cos π β + d, where F nd β is cerin fixed number. If F, hen, s shown in [4], for ny β R he rnsformion ˆ ( is summble on he enire xis: ˆ ( d <. Le ˆLβ denoe he se of funcions f( x Lˆ h, for lmos ll x R, cn be represened in he form f( x A ( x ˆ + ϕ + ( d, ( where A is cerin consn, ϕ( Lˆ, nd he inegrl is undersood s he limi of inegrls oer symmericlly expnding inerls. If f( Lˆ β nd, in ddiion,, where is cerin subse of coninuous funcions from ˆL, hen we ssume h f( Lˆ β. The subses of coninuous funcions from ˆLβ ˆLβ ( re denoed by Ĉ β ( Ĉ β. If coincides wih he se of funcions ϕ( sisfying he condiion ess sup ϕ (, hen he clss Ĉ β is denoed by ˆ β,. If f Lˆβ nd f β, hen we sy h f L ˆ ˆ β,. In [3] (hp. IX, i ws shown h if ϕ( is π-periodic summble funcion, hen he ses ˆLβ, ˆ L β,, nd ˆ β, rnsform ino he clsses L β, L β,, nd β,, respeciely. In he periodic cse where relion ( holds, we he ϕ( f β ( lmos eerywhere. In his connecion, ny funcion equilen o he funcion ϕ( in relion ( is clled, s in he periodic cse [see, e.g., [] (hp. I nd [4] (hp. III], he ( β-deriie, of f ( nd is denoed by f β (. As menioned boe, he clsses ˆLβ were inroduced by Sepnes. He lso considered he problem of he pproximion of funcions from he clsses ˆLβ by using he so-clled Fourier operors, which, in he periodic cse, re Fourier sums of order [ ] ; in he generl cse, hey re enire funcions of exponenil ype (see [4, 5]. In hese works, Sepnes obined represenion on he clsses ˆLβ for he deiions of he operors U( f, x,, which re inegrl nlogs of he polynomil operors genered by ringulr - mehods of summion of Fourier series. These resuls were pplied in [6 9] o he problem of pproximion of funcions from he clsses ˆLβ by he operors of Zygmund, Seklo, de l Vllée-Poussin, ec.

3 APPROXIMATION OF FUNTIONS DEFINED ON THE REAL AXIS BY OPERATORS GENERATED BY -METHODS 5 U The im of he presen pper is o sudy he deiions (on he clsses ˆ L β, nd ˆ β, of he operors ( f, x, genered by -mehods (defined by collecion Λ ( { } of funcions coninuous on [, nd depending on rel prmeer of summion of Fourier inegrls. In he periodic cse, for ( r, r >, he mos complee resuls in his direcion were obined in []; for funcions decresing o zero, he mos complee resuls were obined in []. Le Λ { } be collecion of funcions coninuous for ll nd depending on rel prmeer. We ssocie eery funcion f L wih he expression ˆβ U ( Λ U( f, x, Λ A + f x + + β d d π ( ( cos. ( Furher, we ssume h he funcions ( nd re such h he rnsformions $ π ( cos + d re summble on he enire number xis. Then, using relions ( nd (, for eery funcion f( ˆ β we obin f( x U ( f, x, Λ + f x r + β ( cos dd, (3 π where, for, r (, (4 nd, on he segmen, he funcion r is rbirrily defined so h i is coninuous for ll, equl o zero he origin, nd such h is Fourier rnsform is summble on he enire number xis. In he presen pper, we inesige he quniies rˆ ( r cos + d π ( β, f ˆ β, ˆ, U ( Λ sup f( x U ( f, x, Λ, (5

4 5 YU. I. KHARKEVYH AND T. V. ZHYHALLO ( β, ˆ ˆ f Lˆ β, L ˆ, U ( Λ sup f( x U ( f, x, Λ where U( f, x, Λ re he operors defined by (. Firs, we presen seerl uxiliry definiions nd semens necessry for wh follows., (6 Definiion []. Le funcion τ( be defined on [,, bsoluely coninuous, nd such h τ(. We sy h τ( if he deriie τ ( cn be defined he poins where i does no exis so h, for cerin, he following inegrls exis: / dτ (, dτ (. / Le K nd K i denoe consns h re, generlly speking, differen in differen relions. Lemm []. If τ(, hen τ( τ( + τ( + / dτ ( + dτ ( : H( τ. (7 / Theorem []. Suppose h τ( nd sin τ(. In order h he inegrl A( τ τ( cos + d d π (8 be conergen, i is necessry nd sufficien h he inegrls τ( sin d, τ( τ( + d be conergen. In his cse, he following esime is rue: 4 d A( τ ξsin τ (, j [ τ ( τ ( + ] KH( τ π, (9 where ξ( AB, is he funcion defined s follows []: ξ( AB, π A, B A, A A rcsin + B A, B > A, B (

5 APPROXIMATION OF FUNTIONS DEFINED ON THE REAL AXIS BY OPERATORS GENERATED BY -METHODS 53 j, < <,,. ( Le. Following [, pp. 59, 6], we se ( η( :, µ ( : η(, { : < µ (, K }, { } c : < K < µ (, K. If nd, moreoer, or for, hen, following [4, p. ], we wrie or, respeciely. Theorem [, p. 6]. A funcion belongs o if nd only if he quniy α( (, ( : ( +, ( sisfies he condiion α( K >. Theorem 3 [, p. 75]. In order h funcion belong o, i is necessry nd sufficien h here exis consn K such h, for ll, he following inequliy is rue: ( ( c K, where c is n rbirry consn h sisfies he condiion c >. ( β,. Asympoic Relions for ˆ, U ( Λ For conenience, performing chnge of ribles, we rewrie relions (3 nd (4 in he form f( x U ( f, x, Λ π τ ( β + f x ( cos + dd, ( ( τ( τ( ( (, (, (3

6 54 YU. I. KHARKEVYH AND T. V. ZHYHALLO where, s before, he funcion τ ( is rbirrily defined on he segmen,, equl o zero he origin, nd such h is Fourier rnsform so h i is coninuous for ll is summble on he enire number xis. Then he following heorem is rue: Theorem. Suppose h he following condiions re sisfied: (i ( F ; (ii τ( ; τˆ( ( cos π τ + d (4 (iii sin τ ( ; (i he following inegrls conerge: τ sin ( d, ( ( + d. (5 Then he funcion τ( τ ( ( ( (, (, ( ( ( (,, (6 sisfies he following relion: ( β, ˆ, U ( Λ 4 π ξ ( sin τ (, j [ τ ( τ ( + ] d + O( ( H(,, (7 τ where H( τ, ξ( AB,, nd j re defined by (7, (, nd (, respeciely. Proof. Using Theorem, we show h he inegrl A( τ conerges, nd, hence, by irue of Lemm in [8], he following relion holds s : ( β, ˆ, U( Λ ( A ( τ. (8

7 APPROXIMATION OF FUNTIONS DEFINED ON THE REAL AXIS BY OPERATORS GENERATED BY -METHODS 55 One of he condiions of Theorem is he conergence of he inegrl τ( τ( + d, (9 wheres one of he condiions of Theorem is he conergence of he inegrl ( ( + d. ( Le us show h if, hen τ( τ( + d ( ( ( + ( d+ H( τ O(, ( where O( is quniy uniformly bounded in. Therefore, he conergence of inegrl ( yields he conergence of inegrl (9. Using relion (6, we ge τ τ ( ( + ( ( (, (, ( ( ( (,, ( ( ( (, ( +, ( ( + ( ( +,. ( ( (3 Firs, we consider he cse > nd represen relion (9 s sum of wo inegrls: τ( τ( + d τ( τ( + d + τ( τ( + d. (4 Le us esime he firs erm on he righ-hnd side of (4. To his end, we dd nd subrc he quniy ( ( ( + ( ( under he modulus sign in he inegrnd. As resul, we obin

8 56 YU. I. KHARKEVYH AND T. V. ZHYHALLO τ( τ( + d ( ( ( + ( d + O ( τ ( ( + + ( ( ( + τ ( d. (5 Since relions ( nd (3 re rue, for, we ge ( ( τ( ( ( nd ( ( + τ( +. ( ( + Then ( τ( τ( + + ( ( + ( ( d ( τ ( ( ( d + ( τ ( + ( ( + d. (6 Since τ (, ccording o Lemm we ge ( τ ( ( ( d + ( τ ( + ( ( + d H( τ O ( ( ( ( ( d + ( ( + ( ( ( + d. (7

9 APPROXIMATION OF FUNTIONS DEFINED ON THE REAL AXIS BY OPERATORS GENERATED BY -METHODS 57 Le us show h, s, I, : I, : ( ( ( ( ( ( ( + ( ( ( + d O(, (8 d O(, (9 where he quniy O( is uniformly bounded in. Indeed, he funcion ( / ( ( for ll δ,, < δ <, nd, furhermore, by irue of Theorem, we he is bounded ( / ( ( ( lim ( K. Therefore, I, O( s. Pssing o he esimion of he inegrl I,, we noe h I, < ( ( ( ( + d. Performing he chnge of ribles u ( +, we ge I, < ( ( ( u du < u ( ( ( u du. u Using Lemm.5 from [3] nd Theorem 3 for he righ-hnd side of he ls inequliy, we obin I, < K( K( K3. ( ( Thus, equliies (8 nd (9 re rue. ombining relions (5 (9, we ge τ( τ( + d ( ( ( + ( d+ H( τ O(. (3 Le us esime he second erm on he righ-hnd side of (4. I is obious h

10 58 YU. I. KHARKEVYH AND T. V. ZHYHALLO τ( τ( + d ( ( ( + ( d + O ( τ( τ( + + ( ( ( + ( d. (3 Using relions ( nd (3, for, we ge ( ( τ( ( (3 nd Hence, by irue of Lemm, we obin ( ( + τ( +. ( ( + ( τ( τ( + + ( ( + ( ( d ( τ ( τ ( + ( ( ( + ( d H( τ O ( ( ( ( + ( d + ( ( ( + d. (33 We esime he righ-hnd side of (33 s follows: ( ( ( d - ln O(. (34 ( (

11 APPROXIMATION OF FUNTIONS DEFINED ON THE REAL AXIS BY OPERATORS GENERATED BY -METHODS 59 By nlogy wih he proof of relion (9, we ge ( ( + ( ( ( + d ( ( u ( u du ( ( u ( u du ( ( O(. (35 Using relions (3 (35, we obin τ( τ( + d ( ( ( + ( d + H( τ O(. (36 ombining relions (36 nd (3, we rrie equliy (. By nlogy wih he proof of relion (, for > <. For <, relion (3 is rue nd Then ( ( + τ ( +. ( one cn show h equliy ( is lso lid for τ( τ( + d ( ( ( ( + d. The conergence of inegrl ( yields he conergence of inegrl (9. Thus, for, ll condiions of Theorem re sisfied. Then, subsiuing relion (9 ino equliy (8, we ge (7. Theorem is proed. Noe h n nlogous heorem ws proed in [] in he periodic cse where ( [] for he clsses β,,. orollry. Suppose h he condiions of Theorem re sisfied. If r, r >, nd in τ ( τ ( + sin τ (, [, ], >, (37 hen

12 5 YU. I. KHARKEVYH AND T. V. ZHYHALLO ˆ ( β,, U( Λ π τ ( ( sin d + O ( sin π τ( d ( ( + + O( ( d + O( ( H( τ,. (38 If sin τ ( < τ ( τ ( +, [, ], >. (39 hen ˆ ( β,, U( Λ 4 π ( ( + ( d + O( π j ( ( + d + O τ ( sin ( d O( ( H( τ,. (4 Proof. Relion (38 follows direcly from equliy (7 nd he definiion of he funcion ξ( AB., To proe relion (4, noe h, by irue of (39 nd (4, he following equliies re rue: ξ sin τ [ τ τ + ] (, j ( ( d sin τ ( sin ( rcsin τ τ ( τ ( + + ( τ( τ( + sin τ ( d sin τ ( sin τ ( τ( τ( + ( d + O sin τ ( d,. (4

13 APPROXIMATION OF FUNTIONS DEFINED ON THE REAL AXIS BY OPERATORS GENERATED BY -METHODS 5 Since relion (39 is rue, we conclude h sin τ ( ( τ ( τ ( + [, ] if [, ]. Using relion (4 nd he expnsion of he funcion, [, ], in power series, we obin ξ sin τ [ τ τ + ] (, j ( ( d d τ ( sin τ ( + Osin d,. (4 Subsiuing (4 ino (7 nd using relion (, we ge (4. orollry is proed. orollry. Le Λ{ nk, }, where n, k,, nd n, for ll n, be recngulr numericl mrix h ssocies eery funcion f ˆβ wih series (. Suppose h he mrix Λ is such h series ( is he Fourier series of cerin coninuous funcion denoed by Un( f, x, Λ. Also ssume h k he mrix Λ is deermined by sequence of funcions n ( u, u <, such h nk, n n nd n, for ll n. The sympoic equliies for he quniies ( ˆ β,, U n ( Λ sup f( x U (,, n f x Λ ˆ f β, cn be obined by seing n, n N, in relions (7, (38, nd (4, proided h ll condiions of Theorem re sisfied. We ge ( ˆ β,, U n ( Λ 4 π ξ ( n d sin τ n (, j u τ n ( τ n ( [ + ] + O ( ( H ( τn,, where he funcions τ n (, n,,, re defined by he equliies τ n ( ( ( ( (, n n, ( n ( ( (, n n. If

14 5 YU. I. KHARKEVYH AND T. V. ZHYHALLO hen τ ( τ ( + sin τ ( n n n, [, ], >, ( ˆ β,, U n ( Λ π τ ( ( n sin n nπ τ d + O ( n sin n( d + O n n( ( n( + ( d + O( ( n H( τ n,. If sin τ n( < τ n( τ n( +, [, ], >, hen ( ˆ β,, U n ( Λ 4 π ( ( ( n n n + d + O( n nπ j n( n( + d ( β, Λ ˆ 3. Asympoic Relions for L ˆ, U ( τ + O ( n sin n( d + O( ( n H( τ n, n. In his secion, we sudy he behior of upper bounds of (6. Firs, we gie seerl definiions nd uxiliry resuls. Assume h f L ˆβ, F, nd he funcion τ ( is defined by (3 nd such h is Fourier rnsform τˆ ( ˆ ( (4 is summble on R. Then, lmos eery poin x R, we he τ f( x U ( f, x, ( f x + ( cos + β d d π τ Λ. (43 Noe h he funcion τ ( cn be chosen so h i is coninuous for nd is Fourier rnsform τˆ ( is summble on R. Using relion (43, we esblish he following semen:

15 APPROXIMATION OF FUNTIONS DEFINED ON THE REAL AXIS BY OPERATORS GENERATED BY -METHODS 53 Lemm. Suppose h F, he funcion τ ( is defined by (3 nd coninuous for ll, nd inegrl (8 conerges. Then he following relion holds s : ( + β, ˆ ˆ f Lˆ β, L ˆ ; U ( Λ sup f( x U ( f, x, Λ ( A( τγ ( (, (44 where γ ( nd Proof. Tking ino ccoun h γ ( O τ( cos + d d. (45 π f x + d τˆ ( ˆ π sup f x + + ˆ ( ddx τ f ˆ ˆ τ ( d R π nd using equliies (6 nd (43, we ge ( sup f( x U( f, x, β, ˆ L ˆ, U ( Λ ˆ f Lβ, On he oher hnd, by irue of Proposiion. in [3, p. 69], we he Λ ˆ ( τˆ ( d ( A ( τ. (46 Lˆ L β (, π Lβ β Lβ he se of π-periodic funcions wih men lue zero on ( π,. Therefore, Lˆ,,. Hence,, where L (, π is sup f x ˆ + ( d τ f Lˆ β, ˆ sup f x ˆ + ( d τ f L β,. (47 Moreoer, i is shown in [, p. 4] h sup ( f ˆ x + ( d ( A( + ( ( τ τγ, (48 f L β, where γ ( nd relion (45 is rue. Using (46 (48, we obin relion (44. The lemm is proed. In he periodic cse, n nlogous lemm ws proed in [] for he clsses L β,.

16 54 YU. I. KHARKEVYH AND T. V. ZHYHALLO ( nd β, ˆ ompring he lemm proed wih Lemm in [8], we conclude h he quniies L ˆ, U ( Λ ( ˆ β,, U( Λ my differ only by quniy h does no exceed γ ( in order, i.e., he following relion holds s : ( ( + ( Lˆ, U ( Λ ˆ, U ( Λ O ( γ β, ˆ β,. Using he ls equliy, we cn proe n nlog of Theorem for funcions of he clsses ˆ L β,. Theorem. Suppose h he following condiions re sisfied: (i ( F ; (ii τ ( ; τ (iii sin ( ; (i inegrls (5 conerge. Then, for he funcion τ( ( defined by (6, he following sympoic equliy is rue: τ ( β, ˆ L ˆ, U ( Λ 4 π ξ ( sin τ (, j [ τ ( τ ( + ] d π + O ( sin τ ( + j [ τ ( τ ( + ] d + O( ( H(,, where H( τ, ξ( AB,, nd j re defined by (7, (, nd (, respeciely. If, in ddiion, inequliy (37 is rue, hen τ ( L ˆ, β, U ( Λ ˆ ( sin π τ ( d + O ( sin π τ( d + O ( If inequliy (39 is rue, hen ( ( + d + O( ( H( τ,.

17 APPROXIMATION OF FUNTIONS DEFINED ON THE REAL AXIS BY OPERATORS GENERATED BY -METHODS 55 ( L ˆ, ( β, U Λ ˆ 4 π ( ( + ( d + O( π j ( ( + d + O τ ( sin ( d + O( ( H( τ,. REFERENES F. A. I. Sepnes, lssificion nd Approximion of Periodic Funcions [in Russin], Nuko Dumk, Kie (987.. A. I. Sepnes, Mehods of Approximion Theory [in Russin], Vol., Insiue of Mhemics, Ukrinin Acdemy of Sciences, Kie (. 3. A. I. Sepnes, Mehods of Approximion Theory [in Russin], Vol., Insiue of Mhemics, Ukrinin Acdemy of Sciences, Kie (. 4. A. I. Sepnes, lsses of funcions defined on he rel xis nd heir pproximion by enire funcions. I, Ukr. M. Zh., 4, No., ( A. I. Sepnes, lsses of funcions defined on he rel xis nd heir pproximion by enire funcions. II, Ukr. M. Zh., 4, No., ( M. G. Dzimisrishili, Approximion of lsses of oninuous Funcions by Zygmund Operors [in Russin], Preprin No. 89.5, Insiue of Mhemics, Ukrinin Acdemy of Sciences, Kie (989, pp M. G. Dzimisrishili, On he Behior of Upper Bounds of Deiions of Seklo Operors [in Russin], Preprin No. 9.5, Insiue of Mhemics, Ukrinin Acdemy of Sciences, Kie (99, pp V. I. Rukso, Approximion of funcions defined on he rel xis by de l Vllée-Poussin operors, Ukr. M. Zh., 44, No. 5, ( L. A. Repe, Approximion of funcions of he clsses ˆ ϕ, β, by operors of he form U, in: Fourier Series: Theory nd Applicions [in Russin], Insiue of Mhemics, Ukrinin Acdemy of Sciences, Kie (99, pp L. I. Buso, Liner mehods of summion of Fourier series wih gien recngulr mrices. I, Iz. Vyssh. Uchebn. Zed., 46, No. 3, 5 3 (965.. A. K. Noiko, On pproximion of funcions in he spces nd L, in: Problems of Summion of Fourier Series [in Russin], Preprin No. 85.6, Insiue of Mhemics, Ukrinin Acdemy of Sciences, Kie (985, pp S. A. Telykoskii, On he norms of rigonomeric polynomils nd pproximion of differenible funcions by liner mens of heir Fourier series. II, Iz. Akd. Nuk SSSR, Ser. M., 7, No., 53 7 ( A. I. Sepnes, Approximion of funcions wih slowly rying Fourier coefficiens by Fourier sums, in: Approximion of Periodic Funcions by Fourier Sums [in Russin], Preprin No , Insiue of Mhemics, Ukrinin Acdemy of Sciences, Kie (984, pp. 3 5.

Fourier Transform. Fourier Transform

Fourier Transform. Fourier Transform ECE 307 Z. Aliyziioglu Eleril & Compuer Engineering Dep. Cl Poly Pomon The Fourier rnsform (FT is he exension of he Fourier series o nonperiodi signls. The Fourier rnsform of signl exis if sisfies he following

Διαβάστε περισσότερα

Oscillatory integrals

Oscillatory integrals Oscilltory integrls Jordn Bell jordn.bell@gmil.com Deprtment of Mthemtics, University of Toronto August, 0 Oscilltory integrls Suppose tht Φ C R d ), ψ DR d ), nd tht Φ is rel-vlued. I : 0, ) C by Iλ)

Διαβάστε περισσότερα

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 15, Number 2/2014, pp

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 15, Number 2/2014, pp THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 5, Number /0, pp. 07 DOUBLY STOCHASTIC MODELS WITH ASYMMETRIC GARCH ERRORS Muhmmd SHERAZ Uniersiy o Buchres,

Διαβάστε περισσότερα

( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential

( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential Periodic oluion of van der Pol differenial equaion. by A. Arimoo Deparmen of Mahemaic Muahi Iniue of Technology Tokyo Japan in Seminar a Kiami Iniue of Technology January 8 9. Inroducion Le u conider a

Διαβάστε περισσότερα

Example Sheet 3 Solutions

Example Sheet 3 Solutions Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note

Διαβάστε περισσότερα

Nonlinear Analysis: Modelling and Control, 2013, Vol. 18, No. 4,

Nonlinear Analysis: Modelling and Control, 2013, Vol. 18, No. 4, Nonlinear Analysis: Modelling and Conrol, 23, Vol. 8, No. 4, 493 58 493 Exisence and uniqueness of soluions for a singular sysem of higher-order nonlinear fracional differenial equaions wih inegral boundary

Διαβάστε περισσότερα

Necessary and sufficient conditions for oscillation of first order nonlinear neutral differential equations

Necessary and sufficient conditions for oscillation of first order nonlinear neutral differential equations J. Mah. Anal. Appl. 321 (2006) 553 568 www.elsevier.com/locae/jmaa Necessary sufficien condiions for oscillaion of firs order nonlinear neural differenial equaions X.H. ang a,, Xiaoyan Lin b a School of

Διαβάστε περισσότερα

Uniform Convergence of Fourier Series Michael Taylor

Uniform Convergence of Fourier Series Michael Taylor Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula

Διαβάστε περισσότερα

Linear singular perturbations of hyperbolic-parabolic type

Linear singular perturbations of hyperbolic-parabolic type BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Number 4, 3, Pages 95 11 ISSN 14 7696 Linear singular perurbaions of hyperbolic-parabolic ype Perjan A. Absrac. We sudy he behavior of soluions

Διαβάστε περισσότερα

Math221: HW# 1 solutions

Math221: HW# 1 solutions Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin

Διαβάστε περισσότερα

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =

Διαβάστε περισσότερα

C.S. 430 Assignment 6, Sample Solutions

C.S. 430 Assignment 6, Sample Solutions C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order

Διαβάστε περισσότερα

On Strong Product of Two Fuzzy Graphs

On Strong Product of Two Fuzzy Graphs Inernaional Journal of Scienific and Research Publicaions, Volume 4, Issue 10, Ocober 014 1 ISSN 50-3153 On Srong Produc of Two Fuzzy Graphs Dr. K. Radha* Mr.S. Arumugam** * P.G & Research Deparmen of

Διαβάστε περισσότερα

Matrices and Determinants

Matrices and Determinants Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z

Διαβάστε περισσότερα

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal

Διαβάστε περισσότερα

CHAPTER 101 FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD

CHAPTER 101 FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD CHAPTER FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD EXERCISE 36 Page 66. Determine the Fourier series for the periodic function: f(x), when x +, when x which is periodic outside this rge of period.

Διαβάστε περισσότερα

Lecture 12 Modulation and Sampling

Lecture 12 Modulation and Sampling EE 2 spring 2-22 Handou #25 Lecure 2 Modulaion and Sampling The Fourier ransform of he produc of wo signals Modulaion of a signal wih a sinusoid Sampling wih an impulse rain The sampling heorem 2 Convoluion

Διαβάστε περισσότερα

Statistical Inference I Locally most powerful tests

Statistical Inference I Locally most powerful tests Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided

Διαβάστε περισσότερα

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω

( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω Fourier series e jm when m d when m ; m is an ineger. jm jm jm jm e d e e e jm jm jm jm r( is periodi (>, r(+ r(, Fundamenal period smalles Fundamenal frequeny r ( + r ( is periodi hen M M e j M, e j,

Διαβάστε περισσότερα

16. 17. r t te 2t i t 1. 18 19 Find the derivative of the vector function. 19. r t e t cos t i e t sin t j ln t k. 31 33 Evaluate the integral.

16. 17. r t te 2t i t 1. 18 19 Find the derivative of the vector function. 19. r t e t cos t i e t sin t j ln t k. 31 33 Evaluate the integral. SECTION.7 VECTOR FUNCTIONS AND SPACE CURVES.7 VECTOR FUNCTIONS AND SPACE CURVES A Click here for answers. S Click here for soluions. Copyrigh Cengage Learning. All righs reserved.. Find he domain of he

Διαβάστε περισσότερα

Solutions 3. February 2, Apply composite Simpson s rule with m = 1, 2, 4 panels to approximate the integrals:

Solutions 3. February 2, Apply composite Simpson s rule with m = 1, 2, 4 panels to approximate the integrals: s Februry 2, 216 1 Exercise 5.2. Apply composite Simpson s rule with m = 1, 2, 4 pnels to pproximte the integrls: () x 2 dx = 1 π/2, (b) cos(x) dx = 1, (c) e x dx = e 1, nd report the errors. () f(x) =

Διαβάστε περισσότερα

ST5224: Advanced Statistical Theory II

ST5224: Advanced Statistical Theory II ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known

Διαβάστε περισσότερα

Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1)

Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1) Aenix Aenix A: The equaion o he sock rice. The soluion egins wih Eq..5 rom he ex, which we reea here or convenience as Eq.A.: [ [ E E X, A. c α where X u ε, α γ, an c α y AR. Take execaions o Eq. A. as

Διαβάστε περισσότερα

2 Composition. Invertible Mappings

2 Composition. Invertible Mappings Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,

Διαβάστε περισσότερα

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics

Fourier Series. MATH 211, Calculus II. J. Robert Buchanan. Spring Department of Mathematics Fourier Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Introduction Not all functions can be represented by Taylor series. f (k) (c) A Taylor series f (x) = (x c)

Διαβάστε περισσότερα

Managing Production-Inventory Systems with Scarce Resources

Managing Production-Inventory Systems with Scarce Resources Managing Producion-Invenory Sysems wih Scarce Resources Online Supplemen Proof of Lemma 1: Consider he following dynamic program: where ḡ (x, z) = max { cy + E f (y, z, D)}, (7) x y min(x+u,z) f (y, z,

Διαβάστε περισσότερα

Oscillation Criteria for Nonlinear Damped Dynamic Equations on Time Scales

Oscillation Criteria for Nonlinear Damped Dynamic Equations on Time Scales Oscillaion Crieria for Nonlinear Damped Dynamic Equaions on ime Scales Lynn Erbe, aher S Hassan, and Allan Peerson Absrac We presen new oscillaion crieria for he second order nonlinear damped delay dynamic

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 3 Solutions Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For

Διαβάστε περισσότερα

University of Washington Department of Chemistry Chemistry 553 Spring Quarter 2010 Homework Assignment 3 Due 04/26/10

University of Washington Department of Chemistry Chemistry 553 Spring Quarter 2010 Homework Assignment 3 Due 04/26/10 Universiy of Washingon Deparmen of Chemisry Chemisry 553 Spring Quarer 1 Homework Assignmen 3 Due 4/6/1 v e v e A s ds: a) Show ha for large 1 and, (i.e. 1 >> and >>) he velociy auocorrelaion funcion 1)

Διαβάστε περισσότερα

Second Order Partial Differential Equations

Second Order Partial Differential Equations Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y

Διαβάστε περισσότερα

Anti-aliasing Prefilter (6B) Young Won Lim 6/8/12

Anti-aliasing Prefilter (6B) Young Won Lim 6/8/12 ni-aliasing Prefiler (6B) Copyrigh (c) Young W. Lim. Permission is graned o copy, disribue and/or modify his documen under he erms of he GNU Free Documenaion License, Version. or any laer version published

Διαβάστε περισσότερα

Section 8.3 Trigonometric Equations

Section 8.3 Trigonometric Equations 99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.

Διαβάστε περισσότερα

6.1. Dirac Equation. Hamiltonian. Dirac Eq.

6.1. Dirac Equation. Hamiltonian. Dirac Eq. 6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2

Διαβάστε περισσότερα

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------

Inverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- ----------------- Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin

Διαβάστε περισσότερα

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X.

Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X. Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequalit for metrics: Let (X, d) be a metric space and let x,, z X. Prove that d(x, z) d(, z) d(x, ). (ii): Reverse triangle inequalit for norms:

Διαβάστε περισσότερα

Tridiagonal matrices. Gérard MEURANT. October, 2008

Tridiagonal matrices. Gérard MEURANT. October, 2008 Tridiagonal matrices Gérard MEURANT October, 2008 1 Similarity 2 Cholesy factorizations 3 Eigenvalues 4 Inverse Similarity Let α 1 ω 1 β 1 α 2 ω 2 T =......... β 2 α 1 ω 1 β 1 α and β i ω i, i = 1,...,

Διαβάστε περισσότερα

Trigonometry 1.TRIGONOMETRIC RATIOS

Trigonometry 1.TRIGONOMETRIC RATIOS Trigonometry.TRIGONOMETRIC RATIOS. If a ray OP makes an angle with the positive direction of X-axis then y x i) Sin ii) cos r r iii) tan x y (x 0) iv) cot y x (y 0) y P v) sec x r (x 0) vi) cosec y r (y

Διαβάστε περισσότερα

L F'(-c, 0) F(c, 0) M' D' x + d = 0 x - d = 0

L F'(-c, 0) F(c, 0) M' D' x + d = 0 x - d = 0 Hperol Reference: Advnced Level Pure Mheics S.L. Green (4 h Ediion) Chper VII p.9 - p.0 Edied Mr. Frncis Hung Ls upded: Deceer 7, 0 M D N' N P(, ) L F'(-c, 0) F(c, 0) A'(-,0) B' B A(,0) L' M' D' + d 0

Διαβάστε περισσότερα

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1

Practice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1 Conceptual Questions. State a Basic identity and then verify it. a) Identity: Solution: One identity is cscθ) = sinθ) Practice Exam b) Verification: Solution: Given the point of intersection x, y) of the

Διαβάστε περισσότερα

Second Order RLC Filters

Second Order RLC Filters ECEN 60 Circuits/Electronics Spring 007-0-07 P. Mathys Second Order RLC Filters RLC Lowpass Filter A passive RLC lowpass filter (LPF) circuit is shown in the following schematic. R L C v O (t) Using phasor

Διαβάστε περισσότερα

Σχολή Εφαρμοσμένων Μαθηματικών και Φυσικών Επιστημών. Εθνικό Μετσόβιο Πολυτεχνείο. Thales Workshop, 1-3 July 2015.

Σχολή Εφαρμοσμένων Μαθηματικών και Φυσικών Επιστημών. Εθνικό Μετσόβιο Πολυτεχνείο. Thales Workshop, 1-3 July 2015. Σχολή Εφαρμοσμένων Μαθηματικών και Φυσικών Επιστημών Εθνικό Μετσόβιο Πολυτεχνείο Thles Worksho, 1-3 July 015 The isomorhism function from S3(L(,1)) to the free module Boštjn Gbrovšek Άδεια Χρήσης Το παρόν

Διαβάστε περισσότερα

CHAPTER (2) Electric Charges, Electric Charge Densities and Electric Field Intensity

CHAPTER (2) Electric Charges, Electric Charge Densities and Electric Field Intensity CHAPTE () Electric Chrges, Electric Chrge Densities nd Electric Field Intensity Chrge Configurtion ) Point Chrge: The concept of the point chrge is used when the dimensions of n electric chrge distriution

Διαβάστε περισσότερα

The choice of an optimal LCSCR contract involves the choice of an x L. such that the supplier chooses the LCS option when x xl

The choice of an optimal LCSCR contract involves the choice of an x L. such that the supplier chooses the LCS option when x xl EHNIA APPENDIX AMPANY SIMPE S SHARIN NRAS Proof of emma. he choice of an opimal SR conrac involves he choice of an such ha he supplier chooses he S opion hen and he R opion hen >. When he selecs he S opion

Διαβάστε περισσότερα

Reminders: linear functions

Reminders: linear functions Reminders: linear functions Let U and V be vector spaces over the same field F. Definition A function f : U V is linear if for every u 1, u 2 U, f (u 1 + u 2 ) = f (u 1 ) + f (u 2 ), and for every u U

Διαβάστε περισσότερα

Oscillation criteria for two-dimensional system of non-linear ordinary differential equations

Oscillation criteria for two-dimensional system of non-linear ordinary differential equations Elecronic Journal of Qualiaive Theory of Differenial Equaions 216, No. 52, 1 17; doi: 1.14232/ejqde.216.1.52 hp://www.mah.u-szeged.hu/ejqde/ Oscillaion crieria for wo-dimensional sysem of non-linear ordinary

Διαβάστε περισσότερα

3 Frequency Domain Representation of Continuous Signals and Systems

3 Frequency Domain Representation of Continuous Signals and Systems 3 Frequency Domain Represenaion of Coninuous Signals and Sysems 3. Fourier Series Represenaion of Periodic Signals............. 2 3.. Exponenial Fourier Series.................... 2 3..2 Discree Fourier

Διαβάστε περισσότερα

Review-2 and Practice problems. sin 2 (x) cos 2 (x)(sin(x)dx) (1 cos 2 (x)) cos 2 (x)(sin(x)dx) let u = cos(x), du = sin(x)dx. = (1 u 2 )u 2 ( du)

Review-2 and Practice problems. sin 2 (x) cos 2 (x)(sin(x)dx) (1 cos 2 (x)) cos 2 (x)(sin(x)dx) let u = cos(x), du = sin(x)dx. = (1 u 2 )u 2 ( du) . Trigonometric Integrls. ( sin m (x cos n (x Cse-: m is odd let u cos(x Exmple: sin 3 (x cos (x Review- nd Prctice problems sin 3 (x cos (x Cse-: n is odd let u sin(x Exmple: cos 5 (x cos 5 (x sin (x

Διαβάστε περισσότερα

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p)

2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p) Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2005-03-08 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok

Διαβάστε περισσότερα

Problem Set 3: Solutions

Problem Set 3: Solutions CMPSCI 69GG Applied Information Theory Fall 006 Problem Set 3: Solutions. [Cover and Thomas 7.] a Define the following notation, C I p xx; Y max X; Y C I p xx; Ỹ max I X; Ỹ We would like to show that C

Διαβάστε περισσότερα

Positive solutions for a multi-point eigenvalue. problem involving the one dimensional

Positive solutions for a multi-point eigenvalue. problem involving the one dimensional Elecronic Journal of Qualiaive Theory of Differenial Equaions 29, No. 4, -3; h://www.mah.u-szeged.hu/ejqde/ Posiive soluions for a muli-oin eigenvalue roblem involving he one dimensional -Lalacian Youyu

Διαβάστε περισσότερα

AMS 212B Perturbation Methods Lecture 14 Copyright by Hongyun Wang, UCSC. Example: Eigenvalue problem with a turning point inside the interval

AMS 212B Perturbation Methods Lecture 14 Copyright by Hongyun Wang, UCSC. Example: Eigenvalue problem with a turning point inside the interval AMS B Perturbtion Methods Lecture 4 Copyright by Hongyun Wng, UCSC Emple: Eigenvlue problem with turning point inside the intervl y + λ y y = =, y( ) = The ODE for y() hs the form y () + λ f() y() = with

Διαβάστε περισσότερα

DiracDelta. Notations. Primary definition. Specific values. General characteristics. Traditional name. Traditional notation

DiracDelta. Notations. Primary definition. Specific values. General characteristics. Traditional name. Traditional notation DiracDelta Notations Traditional name Dirac delta function Traditional notation x Mathematica StandardForm notation DiracDeltax Primary definition 4.03.02.000.0 x Π lim ε ; x ε0 x 2 2 ε Specific values

Διαβάστε περισσότερα

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ. Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action

Διαβάστε περισσότερα

The one-dimensional periodic Schrödinger equation

The one-dimensional periodic Schrödinger equation The one-dmensonal perodc Schrödnger equaon Jordan Bell jordan.bell@gmal.com Deparmen of Mahemacs, Unversy of Torono Aprl 23, 26 Translaons and convoluon For y, le τ y f(x f(x y. To say ha f : C s unformly

Διαβάστε περισσότερα

EE512: Error Control Coding

EE512: Error Control Coding EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3

Διαβάστε περισσότερα

F19MC2 Solutions 9 Complex Analysis

F19MC2 Solutions 9 Complex Analysis F9MC Solutions 9 Complex Analysis. (i) Let f(z) = eaz +z. Then f is ifferentiable except at z = ±i an so by Cauchy s Resiue Theorem e az z = πi[res(f,i)+res(f, i)]. +z C(,) Since + has zeros of orer at

Διαβάστε περισσότερα

Approximation of distance between locations on earth given by latitude and longitude

Approximation of distance between locations on earth given by latitude and longitude Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth

Διαβάστε περισσότερα

Concrete Mathematics Exercises from 30 September 2016

Concrete Mathematics Exercises from 30 September 2016 Concrete Mathematics Exercises from 30 September 2016 Silvio Capobianco Exercise 1.7 Let H(n) = J(n + 1) J(n). Equation (1.8) tells us that H(2n) = 2, and H(2n+1) = J(2n+2) J(2n+1) = (2J(n+1) 1) (2J(n)+1)

Διαβάστε περισσότερα

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER

ORDINAL ARITHMETIC JULIAN J. SCHLÖDER ORDINAL ARITHMETIC JULIAN J. SCHLÖDER Abstract. We define ordinal arithmetic and show laws of Left- Monotonicity, Associativity, Distributivity, some minor related properties and the Cantor Normal Form.

Διαβάστε περισσότερα

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8  questions or comments to Dan Fetter 1 Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test

Διαβάστε περισσότερα

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions International Journal of Computational Science and Mathematics. ISSN 0974-89 Volume, Number (00), pp. 67--75 International Research Publication House http://www.irphouse.com Coefficient Inequalities for

Διαβάστε περισσότερα

Strain gauge and rosettes

Strain gauge and rosettes Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified

Διαβάστε περισσότερα

SOLUTIONS TO PROBLEMS IN LIE ALGEBRAS IN PARTICLE PHYSICS BY HOWARD GEORGI STEPHEN HANCOCK

SOLUTIONS TO PROBLEMS IN LIE ALGEBRAS IN PARTICLE PHYSICS BY HOWARD GEORGI STEPHEN HANCOCK SOLUTIONS TO PROBLEMS IN LIE ALGEBRAS IN PARTICLE PHYSICS BY HOWARD GEORGI STEPHEN HANCOCK STEPHEN HANCOCK Chpter 6 Solutions 6.A. Clerly NE α+β hs root vector α+β since H i NE α+β = NH i E α+β = N(α+β)

Διαβάστε περισσότερα

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is

Pg The perimeter is P = 3x The area of a triangle is. where b is the base, h is the height. In our case b = x, then the area is Pg. 9. The perimeter is P = The area of a triangle is A = bh where b is the base, h is the height 0 h= btan 60 = b = b In our case b =, then the area is A = = 0. By Pythagorean theorem a + a = d a a =

Διαβάστε περισσότερα

Every set of first-order formulas is equivalent to an independent set

Every set of first-order formulas is equivalent to an independent set Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent

Διαβάστε περισσότερα

= e 6t. = t 1 = t. 5 t 8L 1[ 1 = 3L 1 [ 1. L 1 [ π. = 3 π. = L 1 3s = L. = 3L 1 s t. = 3 cos(5t) sin(5t).

= e 6t. = t 1 = t. 5 t 8L 1[ 1 = 3L 1 [ 1. L 1 [ π. = 3 π. = L 1 3s = L. = 3L 1 s t. = 3 cos(5t) sin(5t). Worked Soluion 95 Chaper 25: The Invere Laplace Tranform 25 a From he able: L ] e 6 6 25 c L 2 ] ] L! + 25 e L 5 2 + 25] ] L 5 2 + 5 2 in(5) 252 a L 6 + 2] L 6 ( 2)] 6L ( 2)] 6e 2 252 c L 3 8 4] 3L ] 8L

Διαβάστε περισσότερα

Finite Field Problems: Solutions

Finite Field Problems: Solutions Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The

Διαβάστε περισσότερα

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in

Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that

Διαβάστε περισσότερα

Bessel functions. ν + 1 ; 1 = 0 for k = 0, 1, 2,..., n 1. Γ( n + k + 1) = ( 1) n J n (z). Γ(n + k + 1) k!

Bessel functions. ν + 1 ; 1 = 0 for k = 0, 1, 2,..., n 1. Γ( n + k + 1) = ( 1) n J n (z). Γ(n + k + 1) k! Bessel functions The Bessel function J ν (z of the first kind of order ν is defined by J ν (z ( (z/ν ν Γ(ν + F ν + ; z 4 ( k k ( Γ(ν + k + k! For ν this is a solution of the Bessel differential equation

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Areas and Lengths in Polar Coordinates

Areas and Lengths in Polar Coordinates Kiryl Tsishchanka Areas and Lengths in Polar Coordinates In this section we develop the formula for the area of a region whose boundary is given by a polar equation. We need to use the formula for the

Διαβάστε περισσότερα

Fourier transform of continuous-time signals

Fourier transform of continuous-time signals Fourier ransform of coninuous-ime signals Specral represenaion of non-periodic signals Fourier ransform: aperiodic signals repeiion of a finie-duraion signal x()> periodic signals. x x T x kt x kt k k

Διαβάστε περισσότερα

Integrals in cylindrical, spherical coordinates (Sect. 15.7)

Integrals in cylindrical, spherical coordinates (Sect. 15.7) Integrals in clindrical, spherical coordinates (Sect. 5.7 Integration in spherical coordinates. Review: Clindrical coordinates. Spherical coordinates in space. Triple integral in spherical coordinates.

Διαβάστε περισσότερα

Lecture 5: Numerical Integration

Lecture 5: Numerical Integration Lecture notes on Vritionl nd Approximte Metods in Applied Mtemtics - A Peirce UBC 1 Lecture 5: Numericl Integrtion Compiled 15 September 1 In tis lecture we introduce tecniques for numericl integrtion,

Διαβάστε περισσότερα

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2 ECE 634 Spring 6 Prof. David R. Jackson ECE Dept. Notes Fields in a Source-Free Region Example: Radiation from an aperture y PEC E t x Aperture Assume the following choice of vector potentials: A F = =

Διαβάστε περισσότερα

Solutions_3. 1 Exercise Exercise January 26, 2017

Solutions_3. 1 Exercise Exercise January 26, 2017 s_3 Jnury 26, 217 1 Exercise 5.2.3 Apply composite Simpson s rule with m = 1, 2, 4 pnels to pproximte the integrls: () x 2 dx = 1 π/2 3, (b) cos(x) dx = 1, (c) e x dx = e 1, nd report the errors. () f(x)

Διαβάστε περισσότερα

Chapter 6: Systems of Linear Differential. be continuous functions on the interval

Chapter 6: Systems of Linear Differential. be continuous functions on the interval Chapter 6: Systems of Linear Differential Equations Let a (t), a 2 (t),..., a nn (t), b (t), b 2 (t),..., b n (t) be continuous functions on the interval I. The system of n first-order differential equations

Διαβάστε περισσότερα

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β

3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β 3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle

Διαβάστε περισσότερα

Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ.

Problem Set 9 Solutions. θ + 1. θ 2 + cotθ ( ) sinθ e iφ is an eigenfunction of the ˆ L 2 operator. / θ 2. φ 2. sin 2 θ φ 2. ( ) = e iφ. = e iφ cosθ. Chemistry 362 Dr Jean M Standard Problem Set 9 Solutions The ˆ L 2 operator is defined as Verify that the angular wavefunction Y θ,φ) Also verify that the eigenvalue is given by 2! 2 & L ˆ 2! 2 2 θ 2 +

Διαβάστε περισσότερα

Bounding Nonsplitting Enumeration Degrees

Bounding Nonsplitting Enumeration Degrees Bounding Nonsplitting Enumeration Degrees Thomas F. Kent Andrea Sorbi Università degli Studi di Siena Italia July 18, 2007 Goal: Introduce a form of Σ 0 2-permitting for the enumeration degrees. Till now,

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

Vidyamandir Classes. Solutions to Revision Test Series - 2/ ACEG / IITJEE (Mathematics) = 2 centre = r. a

Vidyamandir Classes. Solutions to Revision Test Series - 2/ ACEG / IITJEE (Mathematics) = 2 centre = r. a Per -.(D).() Vdymndr lsses Solutons to evson est Seres - / EG / JEE - (Mthemtcs) Let nd re dmetrcl ends of crcle Let nd D re dmetrcl ends of crcle Hence mnmum dstnce s. y + 4 + 4 6 Let verte (h, k) then

Διαβάστε περισσότερα

Lecture 26: Circular domains

Lecture 26: Circular domains Introductory lecture notes on Partial Differential Equations - c Anthony Peirce. Not to be copied, used, or revised without eplicit written permission from the copyright owner. 1 Lecture 6: Circular domains

Διαβάστε περισσότερα

4.6 Autoregressive Moving Average Model ARMA(1,1)

4.6 Autoregressive Moving Average Model ARMA(1,1) 84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this

Διαβάστε περισσότερα

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required) Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts

Διαβάστε περισσότερα

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018

SCITECH Volume 13, Issue 2 RESEARCH ORGANISATION Published online: March 29, 2018 Journal of rogressive Research in Mathematics(JRM) ISSN: 2395-028 SCITECH Volume 3, Issue 2 RESEARCH ORGANISATION ublished online: March 29, 208 Journal of rogressive Research in Mathematics www.scitecresearch.com/journals

Διαβάστε περισσότερα

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?

ANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =? Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least

Διαβάστε περισσότερα

INTEGRAL INEQUALITY REGARDING r-convex AND

INTEGRAL INEQUALITY REGARDING r-convex AND J Koren Mth Soc 47, No, pp 373 383 DOI 434/JKMS47373 INTEGRAL INEQUALITY REGARDING r-convex AND r-concave FUNCTIONS WdAllh T Sulimn Astrct New integrl inequlities concerning r-conve nd r-concve functions

Διαβάστε περισσότερα

Errata (Includes critical corrections only for the 1 st & 2 nd reprint)

Errata (Includes critical corrections only for the 1 st & 2 nd reprint) Wedesday, May 5, 3 Erraa (Icludes criical correcios oly for he s & d repri) Advaced Egieerig Mahemaics, 7e Peer V O eil ISB: 978474 Page # Descripio 38 ie 4: chage "w v a v " "w v a v " 46 ie : chage "y

Διαβάστε περισσότερα

J. of Math. (PRC) u(t k ) = I k (u(t k )), k = 1, 2,, (1.6) , [3, 4] (1.1), (1.2), (1.3), [6 8]

J. of Math. (PRC) u(t k ) = I k (u(t k )), k = 1, 2,, (1.6) , [3, 4] (1.1), (1.2), (1.3), [6 8] Vol 36 ( 216 ) No 3 J of Mah (PR) 1, 2, 3 (1, 4335) (2, 4365) (3, 431) :,,,, : ; ; ; MR(21) : 35A1; 35A2 : O17529 : A : 255-7797(216)3-591-7 1 d d [x() g(, x )] = f(, x ),, (11) x = ϕ(), [ r, ], (12) x(

Διαβάστε περισσότερα

Fractional Colorings and Zykov Products of graphs

Fractional Colorings and Zykov Products of graphs Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is

Διαβάστε περισσότερα

Riemann Hypothesis: a GGC representation

Riemann Hypothesis: a GGC representation Riemann Hypohesis: a GGC represenaion Nicholas G. Polson Universiy of Chicago Augus 8, 8 Absrac A GGC Generalized Gamma Convoluion represenaion for Riemann s reciprocal ξ-funcion is consruced. This provides

Διαβάστε περισσότερα

Almost all short intervals containing prime numbers

Almost all short intervals containing prime numbers ACTA ARITHMETICA LXXVI (6 Almos all shor inervals conaining prime nmbers by Chaoha Jia (Beijing Inrocion In 37, Cramér [] conjecred ha every inerval (n, n f(n log 2 n conains a prime for some f(n as n

Διαβάστε περισσότερα

( )( ) La Salle College Form Six Mock Examination 2013 Mathematics Compulsory Part Paper 2 Solution

( )( ) La Salle College Form Six Mock Examination 2013 Mathematics Compulsory Part Paper 2 Solution L Slle ollege Form Si Mock Emintion 0 Mthemtics ompulsor Prt Pper Solution 6 D 6 D 6 6 D D 7 D 7 7 7 8 8 8 8 D 9 9 D 9 D 9 D 5 0 5 0 5 0 5 0 D 5. = + + = + = = = + = =. D The selling price = $ ( 5 + 00)

Διαβάστε περισσότερα

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) = Mock Eam 7 Mock Eam 7 Section A. Reference: HKDSE Math M 0 Q (a) ( + k) n nn ( )( k) + nk ( ) + + nn ( ) k + nk + + + A nk... () nn ( ) k... () From (), k...() n Substituting () into (), nn ( ) n 76n 76n

Διαβάστε περισσότερα

CRASH COURSE IN PRECALCULUS

CRASH COURSE IN PRECALCULUS CRASH COURSE IN PRECALCULUS Shiah-Sen Wang The graphs are prepared by Chien-Lun Lai Based on : Precalculus: Mathematics for Calculus by J. Stuwart, L. Redin & S. Watson, 6th edition, 01, Brooks/Cole Chapter

Διαβάστε περισσότερα

The Euler Equations! λ 1. λ 2. λ 3. ρ ρu. E = e + u 2 /2. E + p ρ. = de /dt. = dh / dt; h = h( T ); c p. / c v. ; γ = c p. p = ( γ 1)ρe. c v.

The Euler Equations! λ 1. λ 2. λ 3. ρ ρu. E = e + u 2 /2. E + p ρ. = de /dt. = dh / dt; h = h( T ); c p. / c v. ; γ = c p. p = ( γ 1)ρe. c v. hp://www.nd.ed/~gryggva/cfd-corse/ The Eler Eqaions The Eler Eqaions The Eler eqaions for D flow: + + p = x E E + p where Define E = e + / H = h + /; h = e + p/ Gréar Tryggvason Spring 3 Ideal Gas: p =

Διαβάστε περισσότερα

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all

Διαβάστε περισσότερα

A Note on Intuitionistic Fuzzy. Equivalence Relation

A Note on Intuitionistic Fuzzy. Equivalence Relation International Mathematical Forum, 5, 2010, no. 67, 3301-3307 A Note on Intuitionistic Fuzzy Equivalence Relation D. K. Basnet Dept. of Mathematics, Assam University Silchar-788011, Assam, India dkbasnet@rediffmail.com

Διαβάστε περισσότερα

Arithmetical applications of lagrangian interpolation. Tanguy Rivoal. Institut Fourier CNRS and Université de Grenoble 1

Arithmetical applications of lagrangian interpolation. Tanguy Rivoal. Institut Fourier CNRS and Université de Grenoble 1 Arithmetical applications of lagrangian interpolation Tanguy Rivoal Institut Fourier CNRS and Université de Grenoble Conference Diophantine and Analytic Problems in Number Theory, The 00th anniversary

Διαβάστε περισσότερα