Math-Net.Ru All Russian mathematical portal

Size: px
Start display at page:

Download "Math-Net.Ru All Russian mathematical portal"

Transcription

1 Mah-NeRu A Rua aheaca ora R F Shaoya S M Kureo О a race oeraor Berga ye aayc ace Sege doa of he ecod ye PFMT 5 Iue ( Ue of he a-rua aheaca ora Mah-NeRu e ha you have read ad agreed o hee er of ue h://wwwaheru/eg/agreee owoad dea: IP: Ar 8 4:45:4

2 Проблемы физики математики и техники (3 5 УДК МАТЕМАТИКА ОБ ОПЕРАТОРЕ СЛЕДА В АНАЛИТИЧЕСКИХ ПРОСТРАНСТВАХ БЕРГМАНА В ОБЛАСТЯХ ЗИГЕЛЯ ВТОРОГО ТИПА РФ Шамоян СМ Куриленко Брянский государственный университет Брянск Россия ОN A TRACE OPERATOR IN BERGMAN TYPE ANALYTIC SPACES IN SIEGEL OMAINS OF THE SECON TYPE RF Shaoya SM Kureo Brya Sae Uvery Brya Rua Получен новый точный результат для оператора следа в аналитических пространствах Бергмана на произведениях областей Зигеля второго типа этот результат обобщает ранее известные результаты в областях менее общего типа Это первые результаты такого рода для областей данного типа Ключевые слова: следы пространства Зигеля аналитические функции пространства Бергмана A ew har reu for a race oeraor aayc Berga ace roduc of Sege doa of he ecod ye exedg revouy ow aero e geera doa rovded Thee are he fr reu of h ye for uch a ye roducdoa Keyword: Trace Sege doa aayc fuco Berga-ye ace Maheac Subec Cafcao (: Prary 4B5 Secodary 4B3 Iroduco The o caca exae of he o yca bouded Sege doa a bouded rcy eudocovex doa Ω wh ooh boudary C a u ba B = { z: z < } The bac fac of he heory of aayc fuco by each varabe roduc of u ba B B were deveoed recey [9] [] [8] I aura o oe varou robe eve ore geera uao aey o coder varou robe roduc of ore geera Sege doa C I a weow fac ha roduc of bouded rcy eudocovex Ω doa C are aga bouded ad eudocovex ad he aer [] wa robaby he fr oe where eroao roere of aayc fuco o uch roduc doa Ω Ω were uded (ee ao rece aer [4] ad referece here Laer varou reu roduc of uch eudocovex doa aeared eraure (ee for exae [] ad referece here The aura queo o coder roduc of eve ore geera ubouded Sege ad bouded Sege doa C uaeouy ( very arcuar cae a e oyd Ad he o geera exae here are geera Sege doa of he ecod ye (drec geerazao of bouded rcy eudocovex ad ubouded ubuar doa over yerc coe uaeouy aey Ω Ω C Noe for = cae hee geera Sege doa of he ecod ye C were uded before (ee for exae [] [] [6] [9] ad [6] ad varou referece here Th aer a couao of a og ere of aer of he fr auhor o race aayc fuco ace o roduc doa The a goa of h aer o ry o fd coee aaogue of our revou har reu o race of aayc fuco ace a u ba (ad roduc of u ba B B C ore geera cae of Sege doa of ecod ye (ad eve roduc of uch doa Naey h oe we a o exed our har reu o a race oeraor Berga ace fro [] I [] gve for he u ba of C cae We ed o exed ha reu o he cae of geera Sege doa of he ecod ye See ao for reaed reu o race [7] [4] [] [] [8] ad referece here The bae of a our roof are roere of Berga roeco Sege doa of he ecod ye gve [] [] ad [6] [9] The eae of Berga ere ad he Berga rereeao forua fro [] [] ad [6] [9] are ao ayg a ora roe our roof beow Noe addo o he argue we ued h aer are very coe o he argue whch were ued before [4] ad [7] [] e geera doa Le u eo [3] [4] [7] where recey oe ew har reu o roduc of he o yca bouded ad ubouded Sege doa of he ecod ye (bouded rcy eudocovex ad ubuar doa over yerc coe were ao obaed We deoe varou coa a uua by C or c wh dexe We fay eo ao [] where race heore cera Shaoya RF Kureo SM 5 83

3 RF Shaoya SM Kureo uuua doa were roved We aer he reader our exoo oee echy Ad he reao here ha a our roof have are wh arae aero ad roof er doa Noao defo ad reare We fr reca oe bac fac o Sege doa of he ecod ye ad eabh bac oao o foruae our a heore Sege doa of he ecod ye ad roduc of uch Sege doa A fac we dcae beow ca be ee [] [] [3] [6] ad [9] Reca fr he exc forua for he Berga ere fuco ow for very few doa The exc for ad zero of he Berga ere fuco for Harog doa ad Harog ye doa (Cara-Harog doa were foud oy recey O he oher had rcy eudocovex doa he rce ar of he Berga ere ca be exreed excy by ere coey reaed o he o-caed He-Rarez ere (ee for exae [] [3] [6] [7] ad referece here The Berga ere b( ( ττ ( ττ 3 4 for Sege doa of he ecod ye wa coued excy (ee [] [] [3] [6] [9] I a egra va V a covex hoogeeou oe rreducbe coe of ra R a cougae coe of V coe ad whch ao coa o ragh e ad ha egra he fxed Hera for fro defo of Sege doa(ee beow for defo arcae(ee for dea of h [] [] ad ao a ora aer [3] Th fac wa heavy ued [] [] ouo of evera caca robe Sege doa of he ecod ye We w eed ow oe hor bu ore cocree revew of cera reu fro [] [] o ae h exoo ore coee To be ore rece he auhor [] [] howed ha o hoogeeou Sege doa of ye uder cera codo o araeer he ubace of a weghed cog of hooorhc fuco are reroduced by a cocree weghed Berga ere whch 84 L ace o for a ove we u eoed They ao oba oe adard L eae for weghed Berga roeco h cae The roof ree o drec geerazao of he Pachere-Gd forua for he Berga ace A (ee [] [] We red he reader ha he Sege doa of ye aocaed wh he oe covex hoogeeou rreducbe coe V of ra whch coa o ragh e V R ad a V Hera hoogeeou for F whch ac fro roduc of wo C o C a e of o ( wτ fro C + o ha he dfferece of I w ad he vaue of F o ( τ τ V coe Th doa affe hoogeeou ad we ow houd reca he foowg exreo for he Berga ere of = ( V F Le be a affe-hoogeeou Sege doa of ye Le dv( z or ( d ( z deoe he Lebegue eaure o doa ad e H ( deoe he ace of a hooorhc fuco o The Berga ere gve by he foowg forua (ee [] for ( τ τ ad ( τ 3τ4 b τ τ d q τ τ τ 3τ 4 = τ τ 4 (( ( 3 ( F( ad we u ao for N τ τ ( ( 3 d q b ( τ τ ( τ 3τ 4 = F( τ τ 4 (ee [] [] where wo vecor q = ( q ad d = ( d ad addo = ( (here he dex rug fro o are ecfed va where hee uber are deo of cera ( R ad ( C ubace of he cera caoca decooo of C + ad R va he V coe fro defo of our doa (ee for oe addoa dea abou h [] [] [6] We w ca h fay of re araeer of a Sege doa of he ecod ye They w coay aear a our a heore A uua H ( edowed wh he ooogy of ufor covergece o coac ube of The Berga roeco P of a uua he orhogoa roeco of Hber ace L ( d oo ubace A ( cog of hooorhc fuco Moreover ow P he egra oeraor defed o Hber ace L ( d by he Berga ere bzζ ( whch for our doa wa coued for exae [3] Le r be a rea uber for exae We fx Sce hoogeeou he ζ B( ζζ fuco doe o vah o we ca e weghed L ace a foow r r L ( = L ( b ( ζζ d( ζ < < (ee [] [] Le be a arbrary ove uber The weghed Berga ace w be deoed a uua by r r A ( he aayc ar of L ( wh uua odfcao for = cae (ee [] [] We ao u A = A ( The o-caed weghed Berga roeco P he orhogoa roeco of Hber ace L ( oo A ( Thee fac ca be foud [] [] I roved [] [] ha here ex a rea uber < uch ha A ( = {} f ; ad ha for > P he egra oeraor defed o L ( by he Проблемы физики математики и техники (3 5

4 О a race oeraor Berga ye aayc ace Sege doa of he ecod ye + weghed Berga ere cb ( ζ z I a our wor we ha aue ha > r The or of A ( wh r > r defed by ( r r f = f ( z b ( z z d ( z f A ( r wh uua odfcao for = cae Le furher dv = b ( z z dv( z R z We eed oe aero (ee [] [] [6] aey oe bac fac o Berga ere ad Berga roeco Sege doa of he ecod ye They w be aray ued by u beow roof of our heore Soe roof of hee reare are raher rcae [] [] [6] We dcae for reader advace ha oe aero beow vovg egra ca be eay exeded o - roduc of Sege doa of ecod ye by e acao of oe varabe reu -e by each varabe earaey Th rocedure we- ow uch er cae of oyd (ee for exae [4] [5] Lea Le h L ( Tae ρ>ρ for a arge fxed ρ The he fuco +ρ z G( z = b ( zζ h( ζ d( ζ ρ afe he eae u Gz ( b ( zz ch z ad G H( The foowg ea a coee aaogue of he o-caed Forey-Rud ye eae for our Sege doa of he ecod ye Lea Le α ad be R ( ζ v The we have b +α (( v ( z u b ζ (( z u ( z u dv ( z u < f ad oy f > ad α > ( d q = The foowg ea aoher coee aaogue of he o-caed Forey-Rud ye eae for our Sege doa of he ecod ye (oe hee ye eae are we-ow er doa Lea 3 Le α ad be R ( ζ v The for > ad α > ( d q = b +α (( v ( z u b ζ (( z u ( z u dv ( z u = α = cαb (( ζ v ( ζ v The foowg ea a vero of caca reroducg Berga forua for Berga ace Sege doa of he ecod ye Lea 4 Le r be a vecor of R uch ha r > for a = ad a a rea uber uch ha ( + r < = q The for a R uch ha r > + = r he foowg equay hod Pf = f f A We ea 5 oe oher roere of Berga ere The a eae aero beow a ebeddg heore I reae he o-caed growh ace wh Berga ace (ee ao he coee aaogue of h reu oher er doa [] [] ad [4] [5] Lea 5 Le α R ; α > or α = = The α α b (( ζ v ( z u cαb (( ζ v ( ζ v ad α b (( ζ v + ( ζ v ;( z u + ( z u α cb α (( ζ v ( ζ v for a ( ζ v ( ζ v ( z u ( z u For a r f A ( > r f( z u cb + (( z u ( z u f r for a ( zu o ae fro The foowg reu cruca for he roof of our heore I cocer he boudede of Berga ye roeco weghed Berga ace Noe h fac caca er doa ad ha ao ay acao aayc fuco heory (ee [4] [5] Prooo Le ad r be R uch ha > ad r > = ( d q r r The P bouded fro L ( o A ( f ( d q r ax < < = ( d q ( d q r < = We deoe beow everywhere by ad by he rgh ad he ef ed of he erva for araeer whch ca be ee rooo The foowg aero a bae of roof of heore 3 I rovde a egra rereeao for he ocaed aayc growh ace o Sege doa of he ecod ye Prooo Le r ad be wo vecor of R uch ha Probe of Phyc Maheac ad Techc (3 5 85

5 RF Shaoya SM Kureo > ( d q ; r > + = Le G be H ( o ha G u{ G ( z b = ( z z } < The PG r 86 A = G z The foowg reu exa he rucure of fuco fro Berga ace o Sege doa of he ecod ye I a exeo of a caca heore o aoc decooo of Berga ace he u d o a coex ae (ee for exae [9] ad referece here Prooo 3 Le Sege doa of ye II r > + C be a yerc r R ; The here are wo coa c = c( r ad c = c ( r uch ha for every r f A ( here ex a equece { λ } uch ha = + r α α/ f( z = λ b ( z z b ( z z where { z } a ace ad he foowg eae hod r = r c f λ c f where α a eca fxed vecor deedg o r ad araeer of Sege doa (ee for h vecor [9] Shar heore o race aayc ace of Berga ye o Sege doa ad o roduc of Sege doa of he ecod ye The goa of h a eco o exed he a reu of [] [8] o race gve here for arcuar cae of he u ba o geera hoogeeou Sege doa of he ecod ye We ar however wh oe ereg dcuo reaed wh hee ue Fr we defe ad fx oe roere of Berga-ye ace o roduc of Sege doa of he ecod ye A ( > Thee ace arcuar cae of he u ba are coey reaed o Trace oeraor ad ufucoa aayc fuco ace hgher deo (ee for exae [9] [] [8] ad varou referece here More recey we coder ace of a aayc fuco (aayc by each varabe earaey f( z z H( The we defe for ( R > = he foowg ace o roduc doa We defe fr a ube of Locay egrabe fuco o ( L ( = = ocay egrabe : f = ( f( z z b ( z z dv( z / = / b ( z z dv( z < N ad A = H( L ( May geera ue reaed o varou fucoa ace o roduc doa ca be ee [5] Laer h oc wa deveoed by ay auhor (ee for exae for oe ew aayc ace o roduc doa [8] ad referece here Berga-ye xed or ace roduc of Sege doa of he ecod ye for ( > = are Baach ace ad coee erc for oher vaue of araeer Noe for very arcuar cae whe C + (uer haf ace or whe a u d o a coex ae C ad a = for each fro o hee are we-ow aayc Berga ye ace a oyd or oyhaace (ee [4] [5] ad [8] A aura queo o ry o uderad he rucure of hee ew ereg ace ad arcuar o exed reu obaed for = [] [] o h geera > cae I h aer we coder oy arcuar = cae where = Our a heore are har race heore for hee ace for h arcuar cae I addo ay queo cocerg varou ebeddg bewee uch aayc Berga ye ace wh vecor ao are auray We oe ao he udy of hee ye cae o roduc doa o yca Sege doa (bouded or uboudedbouded rcy eudocovex doa or ubuar doa over yerc coe or oyba wa ared arcuar recey aer of fr auhor ad coauhor (ee [3] [4] [7] We eo ao [] ad [] for oe reu h area Soe ew reu abou hee ace arcuar cae of a oyba ca be ee [8]We w eed he foowg e obervao I oe uao ug by each varabe earaey -e he oe deoa reu we ge a ar reu bu for roduc doa Th obervao ca be aed o varou aero we had above A a exae we oe eay ha for exae baed o a ar of Lea 5 we have (u f( z z z z ( + r ( r + b ( z z b ( z z C( f r = c f( z z b( z z dv( z dv( z where C ( f = u f( z z z z + z z r bz ( z dvz ( + dvz ( = + Проблемы физики математики и техники (3 5

6 О a race oeraor Berga ye aayc ace Sege doa of he ecod ye = bz ( z ( + r Sce C ( f C ( f c f r where A ( + r C ( f = u u f( z b ( z z z z z = + r + bz ( z dvz ( dvz ( = L ( + r b ( z z efg ad A aura ao o coder = cae For = cae hee or w oo e / u f ( z z ( b ( z z dv( z ( b ( z z z for A or ( u ( ( ( f z z b z z b z z dv z ( ( ( for A We defe A ( ug ae dea Nex we ca eay oe ha ao a ea above ca be exeded o he roduc cae For exae ug Berga reroducg forua we dcued ea above aey he Pf = f equao by each varabe earaey we r w e he reroducg forua for A ( ace o roduc doa f a Berga ere we u -roduc of oe deoa ere (ee he ae dea [4] [5] for uch er cae of he u d ad he u oyd Th e obervao cruca for he roof of he heore of h oe aey for our har heore o race roduc of Sege doa of he ecod ye Beow we ree a ebeddg for aayc Berga ye ace o roduc of Sege doa of he ecod ye a oe ore acao of roducve dea we dcued The udy of hee ew aayc ace fro varou o a ereg ad earae robe Lea We have he foowg eae ρ f( z z b ( z z dv( z dv( z = α f ( z z b ( z z dv( z dv( z ; = +α where ( ;ρ = = The roof foow fro eae above ad he equay f = f f ( ad eae of +α ea 5 f( z cb ( z z f for z α f H( Noe for = cae h og eae ca be ee [] The foowg heore wa roved [] I erve a a bae for our roof Theore Le ad be fxed uber defed above Le ao r ad be wo vecor beogg o R Le > ad r > = ( d q Le ( ad ( The P a r bouded oeraor o L ( where + P f( ξ = C b ( ξ z ( b ( z z f( z dv( z ad ξ ay o fro I a bouded Berga roeco wh ove Berga ere for oe ove coa C Le u oe h heore ca be eay exeded (for = cae o he roduc of Sege doa of ecod ye foowg adard rocedure of addg varabe ad rear we dd above Th eco devoed o foruao ad roof of a a reu of h aer A revou cae of aayc fuco a u d oyd u ba ad uerhaface C + ad cae of ace of haroc fuco Eucdea ace [4] [7] [] [] [] he roe of he Berga rereeao forua cruca hee ue ad our roof are heavy baedo ad oe ea we rovded above ad hey are arae o cae we codered before [7] [] [8] The cruca roe ayg he exaded Berga roeco T h aer we away aue ha arge + eough ad a aura uber I ow a vara of Berga rereeao forua avaabe ao Berga-ye aayc fuco ace ubuar doa over yerc coe ad h ow fac (ee [3] cruca ao varou race robe aayc fuco ace ubuar doa (ee [3] ad varou referece here I ao ued a our roof beow We ar fro A cae where > or = hoogeeou Sege doa of he ecod ye he ur o ace ay Sege doa of A he ecod ye Noe he fr ar of our heore he fac ha he Sege doa hoogeeou eea Theore Le f A ( where = or > R > = for oe fxed arge eough deedg o araeer of Sege doa ad The f ( z z A ( where = = ( + Probe of Phyc Maheac ad Techc (3 5 87

7 RF Shaoya SM Kureo wh reaed eae for or Ad he revere ao rue For each fuco g A ( here a fuco F A ( uch ha F( z z = g( z for a Le addo 88 = z ( Tf( z z = C fw ( b(( z w dv( w =+ = where C a Berga coa Le ao > for oe fxed arge eough ove uber deedg o araeer of Sege doa The he T Berga-ye egra oeraor (exaded Berga roeco acg a a bouded oeraor fro A ( o A ( where = ( for a > = where аarge eough uber deedg o araeer of Sege doa ad The roof of heore urg he roof of heore varou rerco o aear h rerco ca be reoved f we coder A ( ace where = ( ad for a > = where а arge eough uber deedg o araeer of Sege doa ad We foow he roof of he u ba cae (ee [] ad acuay reea argue fro here for h geera cae ug reare of he revou eco Fr we how he ecod ar of h heore Le T [ f( z z ] = = C f( w b ( z w dv( w = = ( + ; z = ; arge eough The ( Tf ( z z = f( z ; z f A ; < q by ea 4 We how ha T ac fro ( A o ( A f arge eough Th fhe he roof of oe ar our heore For h we ue ea 3 For T we have egra oeraor (exaded Berga roecor Fr we have ug Hoder equay wce ad ea 3 for γ +γ = ; + = ; where γ > axa ; γ +τ > axa ; τ> ax B B = A = ( d q = = f ( w b ( z w dv ( w C( I J = = γ = C f( w b ( z w dv ( w = γ b ( z w dv ( w z = = γ J C f( w b ( z w dv ( w = τ C b ( z z z = ; = for τ = ( γ ; ow he foowg eae ( dv z C f Проблемы физики математики и техники (3 5 ad hece we have ( Tf( z z ( b ( z z ( b ( z z = z = x + y = z The a eae aga foow drecy fro equay of ea 3 ad Fub heore ad oe cacuao baed o eae +τ +τ [ b ( z z ][ b ( z z ] A γ v b z w dv z C3 b w w w = = ( ( [ ( ] The coe eco of codo o araeer baed o eeea cacuao eay how ha uch γ ad γ ca be choe f ad are arge eough The roof of oe ar of heore ow coee To how he fr aero of heore for = or ( earaey we refer he reader o [] where arae argue he u ba baed o eae for Berga ere ca be ee Noe h cae we u coder aoher Berga ye oeraor oeraor foowg aga he roof of he u ba cae Le f A ( < We coder = cae refryg for > o he u ba cae Le ( Tf ( z z = = c f( w w = b ( z w dv ( w dv ( w

8 О a race oeraor Berga ye aayc ace Sege doa of he ecod ye = + > = where arge eough Pu = z = The we have by our z ea o egra rereeao ( Tf ( z = f( z z z Noe for = ow eough o egrae boh de by Sege doa ad he ay Lea 4 (a we dd he u ba We have he ( Tf c f ; where = ( + Sce = A ( A ( b ( z w dv( z = ( + ( b ( z w b( z z dv( z = for oe c b( w w ; w = = + Le > ow We aga foow u ba cae Le γ + α + = = = = γ = ( Tg ( z = ( b( z z g( w α = ( bww ( b ( z wdvw ( = γ α = deedg o The ( Tg a for < q< q ad for oe fxed vaue of γ q α = A ( o q A ( a wa how above Nex fx * ( αγ o ha T = ( ad ow (ee q [6] ( A T = A for ( q + = where q ( = d Thu ( T a ( A ( o ( A ( for a ( q Thu he roof of heore fhed Ideed u ( Tg( w = g( z z = + b ( z w dv ( z dv ( z = ( Tg + ( z = ( b( z z f ( w = + ( = b ( z w b( w w dv( w = + > > = Theore 3 foow drecy fro Berga reroducg forua rovded he revou eco for A ace ad oe eeeary eae e Hoder equay for fuco We rovde deaed roof Theore 3 Le f A ( R > for oe arge eough ove The f ( z z A ( where = Ad he re- = vere ao rue For each fuco g A ( here a fuco F A ( uch ha F( z z = g( z Le addo = ( Tf( z z = C f( w b( z wdv ( w = + z = Le ao > for oe fxed arge eough ove The he T Berga-ye egra oeraor (exaded Berga roeco a bouded oeraor acg fro A ( o A ( = ( > = = for a arge eough Proof of heore 3 τ Noe ug he obvou roery of b ( z z fuco we have oe ar of he heore ce we have obvouy ha τ u f( z z [ b ( z z] z u u f( z z [ b ( z z ] z z τ τ [ b ( z z ];τ ++τ = ττ > τ = Le u how he revere cao for h heore For h we have o ue wo aero whch we foruaed above aey ea 3 ad rooo Fr we have ha f f A ( ; = = ad f ( Tf ( z z = = C f( w b ( z w dv( w = = + ;> z = he ( Tf ( z z = f( z z by rooo for a > arge eough z = The we have ha by Hoder equay for fuco ad Lea 3 ( Tf( z z [ b ( z z b ( z z] Probe of Phyc Maheac ad Techc (3 5 89

9 RF Shaoya SM Kureo C f ( ( ( A b z w dv w b z z = = C f ( ( ( A b z w dv w b z z = = + + C b ( w w b ( z w dudv = b ( z z f < A = for a > ad > w = Hece we have = ( Tf( z z b ( z z C f z = A The roof of heore 3 coee ow REFERENCES Beoe Reroducg roere ad L eae for Berga roeco Sege doa of ye II / Beoe ATKagou // Suda Mah 995 Vo 5 3 P 9 39 Kagou AT oa de Sege de ye II oyau de Berga Thee de docorae de 3 ee cyce / AT Kagou Yaoude Gd S Aay hoogeeou doa / S Gd // Rua Mah Survey 964 Vo 9 4 P 89 4 Shaoya F Toc he heory of A α ace / FShaoya A rbaha Teuber Texe zur Maheac Lezg Rud W Fuco heory oyd / W Rud New-Yor Acadec re Shaoya R O exrea robe wo Sege doa / R Shaoya // ROMAI Joura Vo 8 P Jevc M A oe o dagoa ag heore ace of aayc fuco he oyd / M Jevc M Pavovc R Shaoya // Pub Mah ebreche 9 Vo 74 / P 4 8 Shaoya R O exrea robe aayc Berga ye ace ubuar doa over yerc coe / R Shaoya S Kureo // Iue of Aay 4 Vo 3 P Shaoya R O a ew ace of aayc fuco oyba / R Shaoya O Mhc // Paee Joura 4 P 3 6 Shaoya R O race of hooorhc fuco o he u oyba / R Shaoya O Mhc // A Aa cree Maheac 9 3 P 98 Re G The dagoa ag heore xed or ace / G Re J Sh // Suda Mah 4 Vo 63 P 3 7 Car Rerco of H fuco he oyd / Car // Aerca Joura of Maheac 988 P Shaoya R Shar heore o race Berga ye ace ubuar doa over yerc coe / R Shaoya E Povr // Joura of Sbera Federa Uvery 3 Vo 6 4 P Shaoya R Mufucoa aayc ace roduc of bouded rcy eudocovex doa ad ebeddg heore / R Shaoya E Povr // Kraguevac Maheaca Joura 3 Vo 37 P 44 5 Chag S-Y Soe rece deveoe Fourer aay ad H heory o roduc doa / S-Y Chag R Feffera // Bue Aer Mah Socey 985 Vo P 43 6 Kagou A The dua of Berga ace Sege doa of ecod ye / A Kagou // IMHO- TEP 997 Vo P Areovc M O dace eae ad aoc decooo o ace of aayc fuco o rcy eudocovex doa / M Areovc R Shaoya // Bue Korea Maheaca Socey 4 Vo P Shaoya R O race of Q ye ace ad xed or aayc ace oyba / R Shaoya O Mhc // Sauau Maheaca Sear Vo 3 5 P 9 9 Beoe Moecuar decooo ad eroao / Beoe A Kagou // Iegra Equao ad Oeraor heory 998 Vo 3 P 5 77 Jb T Ieroao afod for roduc of rcy eudocoevx doa / T Jb A Saa // Coex Varabe P 34 Jaobcza P The boudary reguary of he ouo of he df equao roduc of rcy eudocovex doa / P Jaobcza // Pacfc Joura of Maheac 986 Vo P Areovc M O ebeddg race ad uer haroc fuco ace / M Areovc R Shaoya // Kraguevac Mah Joura 3 Vo 37 P Th wor wa uored by he Rua Foudao for Bac Reearch (gra ad by he Mry of Educao ad Scece of he Rua Federao (gra 744K Поступила в редакцию 65 9 Проблемы физики математики и техники (3 5

National Conference on Recent Trends in Synthesis and Characterization of Futuristic Material in Science for the Development of Society

National Conference on Recent Trends in Synthesis and Characterization of Futuristic Material in Science for the Development of Society ABSTRACT Naoa Coferece o Rece Tred Syhe ad Characerzao of Fuurc Maera Scece for he Deveome of Socey (NCRDAMDS-208) I aocao wh Ieraoa Joura of Scefc Reearch Scece ad Techoogy Some New Iegra Reao of I- Fuco

More information

Reliability Equivalence of a Parallel System with Non-Identical Components

Reliability Equivalence of a Parallel System with Non-Identical Components Ieraoa Mahemaca Forum 3 8 o. 34 693-7 Reaby Equvaece of a Parae Syem wh No-Ideca ompoe M. Moaer ad mmar M. Sarha Deparme of Sac & O.R. oege of Scece Kg Saud Uvery P.O.ox 455 Ryadh 45 Saud raba aarha@yahoo.com

More information

Analysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays

Analysis of a Stochastic Lotka-Volterra Competitive System with Distributed Delays Ieraoal Coferece o Appled Maheac Sulao ad Modellg (AMSM 6) Aaly of a Sochac Loa-Volerra Copeve Sye wh Drbued Delay Xagu Da ad Xaou L School of Maheacal Scece of Togre Uvery Togre 5543 PR Cha Correpodg

More information

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p Reearch Joural of Aled Scece Eeer ad Techoloy (6): 28-282 22 ISSN: 2-6 Maxwell Scefc Orazao 22 Submed: March 26 22 Acceed: Arl 22 Publhed: Auu 5 22 The MacWllam Idey of he Lear ode over he R F +uf +vf

More information

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch

More information

Parameters Estimation in a General Failure Rate Semi-Markov Reliability Model

Parameters Estimation in a General Failure Rate Semi-Markov Reliability Model Joura of Saca Theory ad Appcao Vo. No. (Sepember ) - Parameer Emao a Geera Faure Rae Sem-Marov Reaby Mode M. Fahzadeh ad K. Khorhda Deparme of Sac Facuy of Mahemaca Scece Va-e-Ar Uvery of Rafaja Rafaja

More information

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution ISSN 684-843 Joua of Sac Voue 5 8 pp. 7-5 O Pobaby Dey Fuco of he Quoe of Geeaed Ode Sac fo he Webu Dbuo Abac The pobaby dey fuco of Muhaad Aee X k Y k Z whee k X ad Y k ae h ad h geeaed ode ac fo Webu

More information

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as. Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o

More information

The Signal, Variable System, and Transformation: A Personal Perspective

The Signal, Variable System, and Transformation: A Personal Perspective The Sgal Varable Syem ad Traformao: A Peroal Perpecve Sherv Erfa 35 Eex Hall Faculy of Egeerg Oule Of he Talk Iroduco Mahemacal Repreeao of yem Operaor Calculu Traformao Obervao O Laplace Traform SSB A

More information

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc

More information

A Simple Representation of the Weighted Non-Central Chi-Square Distribution

A Simple Representation of the Weighted Non-Central Chi-Square Distribution SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch

More information

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University

ELEC 6041 LECTURE NOTES WEEK 3 Dr. Amir G. Aghdam Concordia University ecre Noe Prepared b r G. ghda EE 64 ETUE NTE WEE r. r G. ghda ocorda Uer eceraled orol e - Whe corol heor appled o a e ha co of geographcall eparaed copoe or a e cog of a large ber of p-op ao ofe dered

More information

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS Joa of Aed Mahema ad Comaoa Meha 4 3( 6-73 APPLCATON OF A Z-TRANSFORMS METHOD FOR NVESTGATON OF MARKOV G-NETWORKS Mha Maay Vo Nameo e of Mahema Ceohowa Uey of Tehoogy Cęohowa Poad Fay of Mahema ad Come

More information

(1) Cov(, ) E[( E( ))( E( ))]

(1) Cov(, ) E[( E( ))( E( ))] Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )

More information

A Remark on Generalized Free Subgroups. of Generalized HNN Groups

A Remark on Generalized Free Subgroups. of Generalized HNN Groups Ieraoal Mahemacal Forum 5 200 o 503-509 A Remar o Geeralzed Free Subroup o Geeralzed HNN Group R M S Mahmood Al Ho Uvery Abu Dhab POBo 526 UAE raheedmm@yahoocom Abrac A roup ermed eeralzed ree roup a ree

More information

Efficient Estimators for Population Variance using Auxiliary Information

Efficient Estimators for Population Variance using Auxiliary Information Global Joural of Mahemacal cece: Theor ad Praccal. IN 97-3 Volume 3, Number (), pp. 39-37 Ieraoal Reearch Publcao Houe hp://www.rphoue.com Effce Emaor for Populao Varace ug Aular Iformao ubhah Kumar Yadav

More information

THE STOCHASTIC INTEGRAL WITH RESPECT TO THE SUB-FRACTIONAL BROWNIAN MOTION WITH H >

THE STOCHASTIC INTEGRAL WITH RESPECT TO THE SUB-FRACTIONAL BROWNIAN MOTION WITH H > Joral of Maheacal Scece: Advace ad Alcao Vole 6 Nber Page 9-39 E SOCASIC INEGRAL WI RESPEC O E SUB-FRACIONAL BROWNIAN MOION WI > GUANGJUN SEN ad LIAN YAN 3* Deare of Maheac Ea Cha Uvery of Scece ad echology

More information

Chapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I

Chapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I CEE49b Chaper - Free Vbrao of M-Degree-of-Freedo Syses - I Free Udaped Vbrao The basc ype of respose of -degree-of-freedo syses s free daped vbrao Aaogos o sge degree of freedo syses he aayss of free vbrao

More information

CS344: Introduction to Artificial Intelligence

CS344: Introduction to Artificial Intelligence C344: Iroduco o Arfcal Iellgece Puhpa Bhaacharyya CE Dep. IIT Bombay Lecure 3 3 32 33: Forward ad bacward; Baum elch 9 h ad 2 March ad 2 d Aprl 203 Lecure 27 28 29 were o EM; dae 2 h March o 8 h March

More information

Competitive Facility Location Problem with Demands Depending on the Facilities

Competitive Facility Location Problem with Demands Depending on the Facilities Aa Pacc Maageme Revew 4) 009) 5-5 Compeve Facl Locao Problem wh Demad Depedg o he Facle Shogo Shode a* Kuag-Yh Yeh b Hao-Chg Ha c a Facul of Bue Admrao Kobe Gau Uver Japa bc Urba Plag Deparme Naoal Cheg

More information

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall 8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model

More information

Lecture 3 Topic 2: Distributions, hypothesis testing, and sample size determination

Lecture 3 Topic 2: Distributions, hypothesis testing, and sample size determination Lecure 3 Topc : Drbuo, hypohe eg, ad ample ze deermao The Sude - drbuo Coder a repeaed drawg of ample of ze from a ormal drbuo of mea. For each ample, compue,,, ad aoher ac,, where: The ac he devao of

More information

Nilpotent Elements in Skew Polynomial Rings

Nilpotent Elements in Skew Polynomial Rings Joural of Scece, Ilac epublc of Ira 8(): 59-74 (07) Uvery of Tehra, ISSN 06-04 hp://cece.u.ac.r Nlpoe Elee Sew Polyoal g M. Az ad A. Mouav * Depare of Pure Maheac, Faculy of Maheacal Scece, Tarba Modare

More information

A Family of Non-Self Maps Satisfying i -Contractive Condition and Having Unique Common Fixed Point in Metrically Convex Spaces *

A Family of Non-Self Maps Satisfying i -Contractive Condition and Having Unique Common Fixed Point in Metrically Convex Spaces * Advaces Pure Matheatcs 0 80-84 htt://dxdoorg/0436/a04036 Publshed Ole July 0 (htt://wwwscrporg/oural/a) A Faly of No-Self Mas Satsfyg -Cotractve Codto ad Havg Uque Coo Fxed Pot Metrcally Covex Saces *

More information

Sherzod M. Mirakhmedov,

Sherzod M. Mirakhmedov, Approxao by ora dsrbuo for a sape su sapg whou repacee fro a fe popuao Ibrah B Mohaed Uversy of Maaya Maaysa ohaed@ueduy Sherzod M Mrahedov Isue of Maheacs Tashe shrahedov@yahooco Absrac A su of observaos

More information

Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai

Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai Ro Geeralzed B-lear Mxed Varaoal-lke Iequaly for Ro Fuzzy Mappgs Hogxa Da Depare of Ecooc Maheacs Souhweser Uversy of Face Ecoocs Chegdu 674 P.R.Cha Absrac I h paper we roduce sudy a ew class of ro geeralzed

More information

Continuous Time Markov Chains

Continuous Time Markov Chains Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

The Lattice of Fully Invariant Subgroups of the Cotorsion Hull

The Lattice of Fully Invariant Subgroups of the Cotorsion Hull Advace Pure Mahemac 3 3 67-679 Publhed Ole November 3 (h://wwwcrorg/oural/am) h://dxdoorg/436/am3389 he Lace of Fully Ivara Subgrou of he Cooro Hull arel Kemoldze Dearme of Mahemac Aa ereel Sae Uvery Kua

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

Analog of the Method of Boundary Layer Function for the Solution of the Lighthill s Model Equation with the Regular Singular Point

Analog of the Method of Boundary Layer Function for the Solution of the Lighthill s Model Equation with the Regular Singular Point Aerca Joura of Maheacs a Sascs 3, 3(): 53-6 DOI: 593/as338 Aaog of he Meho of Bouary Layer Fuco for he Souo of he Lghh s Moe Equao wh he Reguar Sguar Po Kebay Ayuov Depare of Agebra a Geoery, Osh Sae Uversy,

More information

Upper Bound For Matrix Operators On Some Sequence Spaces

Upper Bound For Matrix Operators On Some Sequence Spaces Suama Uer Bou formar Oeraors Uer Bou For Mar Oeraors O Some Sequece Saces Suama Dearme of Mahemacs Gaah Maa Uersy Yogyaara 558 INDONESIA Emal: suama@ugmac masomo@yahoocom Isar D alam aer aa susa masalah

More information

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID wwweo/voue/vo9iue/ijas_9 9f ON THE EXTENSION OF WEAK AENDAIZ INGS ELATIVE TO A ONOID Eye A & Ayou Eoy Dee of e Nowe No Uvey Lzou 77 C Dee of e Uvey of Kou Ou Su E-: eye76@o; you975@yooo ABSTACT Fo oo we

More information

Meromorphic Functions Sharing Three Values *

Meromorphic Functions Sharing Three Values * Alied Maheaic 11 718-74 doi:1436/a11695 Pulihed Olie Jue 11 (h://wwwscirporg/joural/a) Meroorhic Fucio Sharig Three Value * Arac Chagju Li Liei Wag School o Maheaical Sciece Ocea Uiveriy o Chia Qigdao

More information

14. Poisson Processes

14. Poisson Processes 4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur

More information

Cyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles

Cyclically Interval Total Colorings of Cycles and Middle Graphs of Cycles Ope Joural of Dsree Mahemas 2017 7 200-217 hp://wwwsrporg/joural/ojdm ISSN Ole: 2161-7643 ISSN Pr: 2161-7635 Cylally Ierval Toal Colorgs of Cyles Mddle Graphs of Cyles Yogqag Zhao 1 Shju Su 2 1 Shool of

More information

Optimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables

Optimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables Advaces Pure Mahemacs 3 3 598-68 hp://dxdoorg/436/apm33677 Pubshed Oe Sepember 3 (hp://wwwscrporg/joura/apm) Opmay of Dsrbued Coro for Hyperboc Sysems wh a Ife Number of Varabes Aham Hasa amo Deparme of

More information

The Linear Regression Of Weighted Segments

The Linear Regression Of Weighted Segments The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed

More information

Input-to-state stability of switched nonlinear systems

Input-to-state stability of switched nonlinear systems Scece Cha Seres F: Iforao Sceces 28 SCIENCE IN CHINA PRESS Sprer www.sccha.co fo.sccha.co www.sprerk.co Ipu-o-sae saby of swched oear syses FENG We,2 & ZHANG JFe 2 Coee of Iforao Sceces ad Eeer, Shado

More information

The Theory of Membership Degree of Γ-Conclusion in Several n-valued Logic Systems *

The Theory of Membership Degree of Γ-Conclusion in Several n-valued Logic Systems * erca Joural of Operao eearch 0 47-5 hp://ddoorg/046/ajor007 Publhed Ole Jue 0 (hp://wwwscporg/joural/ajor) The Theory of Meberhp Degree of Γ-Cocluo Several -Valued Logc Sye Jacheg Zhag Depare of Maheac

More information

Calibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling

Calibration Approach Based Estimators of Finite Population Mean in Two - Stage Stratified Random Sampling I.J.Curr.crobol.App.Sc (08) 7(): 808-85 Ieraoal Joural of Curre crobolog ad Appled Scece ISS: 39-7706 olue 7 uber 0 (08) Joural hoepage: hp://www.jca.co Orgal Reearch Arcle hp://do.org/0.0546/jca.08.70.9

More information

Reliability Analysis. Basic Reliability Measures

Reliability Analysis. Basic Reliability Measures elably /6/ elably Aaly Perae faul Πelably decay Teporary faul ΠOfe Seady ae characerzao Deg faul Πelably growh durg eg & debuggg A pace hule Challeger Lauch, 986 Ocober 6, Bac elably Meaure elably:

More information

Key words: Fractional difference equation, oscillatory solutions,

Key words: Fractional difference equation, oscillatory solutions, OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg

More information

Is A Quantum Stabilizer Code Degenerate or Nondegenerate for Pauli Channel?

Is A Quantum Stabilizer Code Degenerate or Nondegenerate for Pauli Channel? I A uu Szer Code Degeere or Nodegeere for Pu Che? Fgyg o wu Che Abrc g error ydroe o he error oeror he core of quu decodg ework d o he key e of recoery he defo of he b-f error ydroe rx d he he-f error

More information

Types Ideals on IS-Algebras

Types Ideals on IS-Algebras Ieraioal Joural of Maheaical Aalyi Vol. 07 o. 3 635-646 IARI Ld www.-hikari.co hp://doi.org/0.988/ija.07.7466 Type Ideal o IS-Algebra Sudu Najah Jabir Faculy of Educaio ufa Uiveriy Iraq Copyrigh 07 Sudu

More information

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare

More information

March 23, TiCC TR Generalized Residue Codes. Bulgarian Academy of Sciences, Bulgaria and. TiCC, Tilburg University

March 23, TiCC TR Generalized Residue Codes. Bulgarian Academy of Sciences, Bulgaria and. TiCC, Tilburg University Tburg cere for Creave Copug P.O. Bo 90 Tburg Uversy 000 LE Tburg, The Neherads hp://www.uv./cc Ea: cc@uv. Copyrgh S.M. Doduekov, A. Bojov ad A.J. va Zae 00. March, 00 TCC TR 00-00 Geerazed Resdue Codes

More information

The algebraic immunity of a class of correlation immune H Boolean functions

The algebraic immunity of a class of correlation immune H Boolean functions Ieraoal Coferece o Advaced Elecroc Scece ad Techology (AEST 06) The algebrac mmuy of a class of correlao mmue H Boolea fucos a Jgla Huag ad Zhuo Wag School of Elecrcal Egeerg Norhwes Uversy for Naoales

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo

More information

Fracture analysis of cracked thermopiezoelectric materials by BEM

Fracture analysis of cracked thermopiezoelectric materials by BEM Q. H. Q / Eero Joura o ouar Eee Vo. No.. 83-3 3 Fraure aa o rae heroeoeer aera E Q-Hua Q Deare o eha a Uver a 37 P.R. Cha E-a: Qh@u.eu. ra he ouar eee oruao or aa rae heroeoeer aera ue o hera a eeroea

More information

Collapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder

Collapsing to Sample and Remainder Means. Ed Stanek. In order to collapse the expanded random variables to weighted sample and remainder Collapg to Saple ad Reader Mea Ed Staek Collapg to Saple ad Reader Average order to collape the expaded rado varable to weghted aple ad reader average, we pre-ultpled by ( M C C ( ( M C ( M M M ( M M M,

More information

Speech, NLP and the Web

Speech, NLP and the Web peech NL ad he Web uhpak Bhaacharyya CE Dep. IIT Bombay Lecure 38: Uuperved learg HMM CFG; Baum Welch lecure 37 wa o cogve NL by Abh Mhra Baum Welch uhpak Bhaacharyya roblem HMM arg emac ar of peech Taggg

More information

THE LOWELL LEDGER, INDEPENDENT NOT NEUTRAL.

THE LOWELL LEDGER, INDEPENDENT NOT NEUTRAL. E OE EDGER DEEDE O EUR FO X O 2 E RUO OE G DY OVEER 0 90 O E E GE ER E ( - & q \ G 6 Y R OY F EEER F YOU q --- Y D OVER D Y? V F F E F O V F D EYR DE OED UDER EDOOR OUE RER (E EYEV G G R R R :; - 90 R

More information

Bayesian Separation of Non-Stationary Mixtures of Dependent Gaussian Sources

Bayesian Separation of Non-Stationary Mixtures of Dependent Gaussian Sources Bayea earao of No-aoary Mure of Deede Gaua ource Dez Geçağa rca. uruoğu Ayşı rüzü Boğazç Uvery ecrca ad ecroc geerg DearmeBebek3434 Đabu Turkey ITI ogo Nazoae dee cerche va G. Moruzz 564 Pa Iay Abrac.

More information

New approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method

New approach for numerical solution of Fredholm integral equations system of the second kind by using an expansion method Ieraoal Reearch Joural o Appled ad Bac Scece Avalable ole a wwwrabcom ISSN 5-88X / Vol : 8- Scece xplorer Publcao New approach or umercal oluo o Fredholm eral equao yem o he ecod d by u a expao mehod Nare

More information

VISCOSITY APPROXIMATION TO COMMON FIXED POINTS OF kn- LIPSCHITZIAN NONEXPANSIVE MAPPINGS IN BANACH SPACES

VISCOSITY APPROXIMATION TO COMMON FIXED POINTS OF kn- LIPSCHITZIAN NONEXPANSIVE MAPPINGS IN BANACH SPACES Joral o Maheaical Scieces: Advaces ad Alicaios Vole Nber 9 Pages -35 VISCOSIY APPROXIMAION O COMMON FIXED POINS OF - LIPSCHIZIAN NONEXPANSIVE MAPPINGS IN BANACH SPACES HONGLIANG ZUO ad MIN YANG Deare o

More information

P-Convexity Property in Musielak-Orlicz Function Space of Bohner Type

P-Convexity Property in Musielak-Orlicz Function Space of Bohner Type J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg

More information

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs

Solution to Some Open Problems on E-super Vertex Magic Total Labeling of Graphs Aalable a hp://paed/aa Appl Appl Mah ISS: 9-9466 Vol 0 Isse (Deceber 0) pp 04- Applcaos ad Appled Maheacs: A Ieraoal Joral (AAM) Solo o Soe Ope Probles o E-sper Verex Magc Toal Labelg o Graphs G Marh MS

More information

Midterm Exam. Tuesday, September hour, 15 minutes

Midterm Exam. Tuesday, September hour, 15 minutes Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.

More information

Exam-style practice: A Level

Exam-style practice: A Level Exa-tye practce: A Leve a Let X dete the dtrbut ae ad X dete the dtrbut eae The dee the rad varabe Y X X j j The expected vaue Y : E( Y) EX X j j EX EX j j EX E X 7 The varace : Var( Y) VarX VarX j j Var(

More information

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus

Brownian Motion and Stochastic Calculus. Brownian Motion and Stochastic Calculus Browa Moo Sochasc Calculus Xogzh Che Uversy of Hawa a Maoa earme of Mahemacs Seember, 8 Absrac Ths oe s abou oob decomoso he bascs of Suare egrable margales Coes oob-meyer ecomoso Suare Iegrable Margales

More information

11/8/2002 CS 258 HW 2

11/8/2002 CS 258 HW 2 /8/ CS 58 HW. G o a a qc of aa h < fo a I o goa o co a C cc c F ch ha F fo a I A If cc - c a co h aoa coo o ho o choo h o qc? I o g o -coa o o-coa? W ca choo h o qc o h a a h aa a. Tha f o o a h o h a:.

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

Abstract. 1. Introduction

Abstract. 1. Introduction Joura of Mathematca Sceces: Advaces ad Appcatos Voume 4 umber 2 2 Pages 33-34 COVERGECE OF HE PROJECO YPE SHKAWA ERAO PROCESS WH ERRORS FOR A FE FAMY OF OSEF -ASYMPOCAY QUAS-OEXPASVE MAPPGS HUA QU ad S-SHEG

More information

4. THE DENSITY MATRIX

4. THE DENSITY MATRIX 4. THE DENSTY MATRX The desy marx or desy operaor s a alerae represeao of he sae of a quaum sysem for whch we have prevously used he wavefuco. Alhough descrbg a quaum sysem wh he desy marx s equvale o

More information

Probability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract

Probability Bracket Notation and Probability Modeling. Xing M. Wang Sherman Visual Lab, Sunnyvale, CA 94087, USA. Abstract Probably Bracke Noao ad Probably Modelg Xg M. Wag Sherma Vsual Lab, Suyvale, CA 94087, USA Absrac Ispred by he Drac oao, a ew se of symbols, he Probably Bracke Noao (PBN) s proposed for probably modelg.

More information

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar Ieraioal Joural of Scieific ad Research Publicaios, Volue 2, Issue 7, July 22 ISSN 225-353 EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D S Palikar Depare of Maheaics, Vasarao Naik College, Naded

More information

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu

More information

On the Quasi-Hyperbolic Kac-Moody Algebra QHA7 (2)

On the Quasi-Hyperbolic Kac-Moody Algebra QHA7 (2) Ieaoal Reeach Joual of Egeeg ad Techology (IRJET) e-issn: 9 - Volume: Iue: May- www.e.e -ISSN: 9-7 O he Qua-Hyebolc Kac-Moody lgeba QH7 () Uma Mahewa., Khave. S Deame of Mahemac Quad-E-Mllah Goveme College

More information

The Properties of Probability of Normal Chain

The Properties of Probability of Normal Chain I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co

More information

The Poisson Process Properties of the Poisson Process

The Poisson Process Properties of the Poisson Process Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

HO 25 Solutions. = s. = 296 kg s 2. = ( kg) s. = 2π m k and T = 2π ω. kg m = m kg. = 2π. = ω 2 A = 2πf

HO 25 Solutions. = s. = 296 kg s 2. = ( kg) s. = 2π m k and T = 2π ω. kg m = m kg. = 2π. = ω 2 A = 2πf HO 5 Soution 1.) haronic ociator = 0.300 g with an idea pring T = 0.00 T = π T π π o = = ( 0.300 g) 0.00 = 96 g = 96 N.) haronic ociator = 0.00 g and idea pring = 140 N F = x = a = d x dt o the dipaceent

More information

Theory study about quarter-wave-stack dielectric mirrors

Theory study about quarter-wave-stack dielectric mirrors Theor tud about quarter-wave-tack delectrc rror Stratfed edu tratted reflected reflected Stratfed edu tratted cdet cdet T T Frt, coder a wave roagato a tratfed edu. A we kow, a arbtrarl olared lae wave

More information

Integral Form of Popoviciu Inequality for Convex Function

Integral Form of Popoviciu Inequality for Convex Function Procees of e Paksa Acaey of Sceces: A. Pyscal a ozaoal Sceces 53 3: 339 348 206 oyr Paksa Acaey of Sceces ISSN: 258-4245 r 258-4253 ole Paksa Acaey of Sceces Researc Arcle Ieral For of Pooc Ieqaly for

More information

THE POLYNOMIAL TENSOR INTERPOLATION

THE POLYNOMIAL TENSOR INTERPOLATION Pease ce hs arce as: Grzegorz Berna, Ana Ceo, The oynoma ensor neroaon, Scenfc Research of he Insue of Mahemacs and Comuer Scence, 28, oume 7, Issue, ages 5-. The webse: h://www.amcm.cz./ Scenfc Research

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp

THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp THE PUBLIHING HOUE PROCEEDING OF THE ROMANIAN ACADEMY, eres A, OF THE ROMANIAN ACADEMY Volume 0, Number /009,. 000-000 ON ZALMAI EMIPARAMETRIC DUALITY MODEL FOR MULTIOBJECTIVE FRACTIONAL PROGRAMMING WITH

More information

A note on Turán number Tk ( 1, kn, )

A note on Turán number Tk ( 1, kn, ) A oe o Turá umber T (,, ) L A-Pg Beg 00085, P.R. Cha apl000@sa.com Absrac: Turá umber s oe of prmary opcs he combaorcs of fe ses, hs paper, we wll prese a ew upper boud for Turá umber T (,, ). . Iroduco

More information

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae

More information

TR/05/92 JUNE The 3D Version of the Finite Element Program FESTER. A Technical Report. Ruibn Qu and Martin B. Reed

TR/05/92 JUNE The 3D Version of the Finite Element Program FESTER. A Technical Report. Ruibn Qu and Martin B. Reed TR/5/9 UNE 99 The D Vero of he Fe Eee Progra FESTER A Techca Repor Rub Qu ad Mar B. Reed 69 The D Vero of he Fe Eee Progra FESTER A Techca Repor Rub Qu ad Mar B. Reed Depare of Maheac ad Sac Brue Uver

More information

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues Alied Maheaical Sciece Vol. 8 o. 5 747-75 The No-Tucaed Bul Aival Queue M x /M/ wih Reei Bali Sae-Deede ad a Addiioal Seve fo Loe Queue A. A. EL Shebiy aculy of Sciece Meofia Uiveiy Ey elhebiy@yahoo.co

More information

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.

More information

Chapter 3: Maximum-Likelihood & Bayesian Parameter Estimation (part 1)

Chapter 3: Maximum-Likelihood & Bayesian Parameter Estimation (part 1) Aoucemes Reags o E-reserves Proec roosal ue oay Parameer Esmao Bomercs CSE 9-a Lecure 6 CSE9a Fall 6 CSE9a Fall 6 Paer Classfcao Chaer 3: Mamum-Lelhoo & Bayesa Parameer Esmao ar All maerals hese sles were

More information

ClassificationofNonOscillatorySolutionsofNonlinearNeutralDelayImpulsiveDifferentialEquations

ClassificationofNonOscillatorySolutionsofNonlinearNeutralDelayImpulsiveDifferentialEquations Global Joural of Scece Froer Research: F Maheacs ad Decso Sceces Volue 8 Issue Verso. Year 8 Type: Double Bld Peer Revewed Ieraoal Research Joural Publsher: Global Jourals Ole ISSN: 49-466 & Pr ISSN: 975-5896

More information

Complementary Tree Paired Domination in Graphs

Complementary Tree Paired Domination in Graphs IOSR Joural of Mahemacs (IOSR-JM) e-issn: 2278-5728, p-issn: 239-765X Volume 2, Issue 6 Ver II (Nov - Dec206), PP 26-3 wwwosrjouralsorg Complemeary Tree Pared Domao Graphs A Meeaksh, J Baskar Babujee 2

More information

On the energy of complement of regular line graphs

On the energy of complement of regular line graphs MATCH Coucato Matheatcal ad Coputer Chetry MATCH Cou Math Coput Che 60 008) 47-434 ISSN 0340-653 O the eergy of copleet of regular le graph Fateeh Alaghpour a, Baha Ahad b a Uverty of Tehra, Tehra, Ira

More information

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3. C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)

More information

Review - Week 10. There are two types of errors one can make when performing significance tests:

Review - Week 10. There are two types of errors one can make when performing significance tests: Review - Week Read: Chaper -3 Review: There are wo ype of error oe ca make whe performig igificace e: Type I error The ull hypohei i rue, bu we miakely rejec i (Fale poiive) Type II error The ull hypohei

More information

Physics 240: Worksheet 16 Name

Physics 240: Worksheet 16 Name Phyic 4: Workhee 16 Nae Non-unifor circular oion Each of hee proble involve non-unifor circular oion wih a conan α. (1) Obain each of he equaion of oion for non-unifor circular oion under a conan acceleraion,

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Reliability Analysis

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Reliability Analysis Probably /4/6 CS 5 elably Aaly Yahwa K. Malaya Colorado Sae very Ocober 4, 6 elably Aaly: Oule elably eaure: elably, avalably, Tra. elably, T M MTTF ad (, MTBF Bac Cae Sgle u wh perae falure, falure rae

More information

Solution set Stat 471/Spring 06. Homework 2

Solution set Stat 471/Spring 06. Homework 2 oluo se a 47/prg 06 Homework a Whe he upper ragular elemes are suppressed due o smmer b Le Y Y Y Y A weep o he frs colum o oba: A ˆ b chagg he oao eg ad ec YY weep o he secod colum o oba: Aˆ YY weep o

More information

Delay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems

Delay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems Delay-Depede Robus Asypocally Sable for Lear e Vara Syses D. Behard, Y. Ordoha, S. Sedagha ABSRAC I hs paper, he proble of delay depede robus asypocally sable for ucera lear e-vara syse wh ulple delays

More information

Unique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen

Unique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen Vol No : Joural of Facult of Egeerg & echolog JFE Pages 9- Uque Coo Fed Pot of Sequeces of Mags -Metrc Sace M. Ara * Noshee * Deartet of Matheatcs C Uverst Lahore Pasta. Eal: ara7@ahoo.co Deartet of Matheatcs

More information

Riemann Hypothesis and Primorial Number. Choe Ryong Gil

Riemann Hypothesis and Primorial Number. Choe Ryong Gil Rieann Hyohesis Priorial Nuber Choe Ryong Gil Dearen of Maheaics Universiy of Sciences Gwahak- dong Unjong Disric Pyongyang DPRKorea Eail; ryonggilchoe@sar-conek Augus 8 5 Absrac; In his aer we consider

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Math-Net.Ru All Russian mathematical portal

Math-Net.Ru All Russian mathematical portal ath-net.ru All Russian mathematical ortal I.. Dergacheva, I. P. Shabalina, E. A. Zadorozhnyu, A criterion for a finite grou to belong a saturated formation, PFT, 017, Issue (31), 46 49 Use of the all-russian

More information

Practice Final Exam (corrected formulas, 12/10 11AM)

Practice Final Exam (corrected formulas, 12/10 11AM) Ecoomc Meze. Ch Fall Socal Scece 78 Uvery of Wco-Mado Pracce Fal Eam (correced formula, / AM) Awer all queo he (hree) bluebook provded. Make cera you wre your ame, your ude I umber, ad your TA ame o all

More information

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables

Some Probability Inequalities for Quadratic Forms of Negatively Dependent Subgaussian Random Variables Joural of Sceces Islamc epublc of Ira 6(: 63-67 (005 Uvers of ehra ISSN 06-04 hp://scecesuacr Some Probabl Iequales for Quadrac Forms of Negavel Depede Subgaussa adom Varables M Am A ozorga ad H Zare 3

More information