Adagba O Henry /International Journal Of Computational Engineering Research / ISSN: OPERATION ON IDEALS

Size: px
Start display at page:

Download "Adagba O Henry /International Journal Of Computational Engineering Research / ISSN: OPERATION ON IDEALS"

Transcription

1 Adagba O Hry /Itratoal Joural Of Computatoal Egrg Rsarh / ISSN OPERATION ON IDEALS Adagba O Hry, Dpt of Idustral Mathmats & Appld Statsts, Eboy Stat Uvrsty, Abakalk Abstrat W provd bas opratos o dals suh as addto, trsto, multplato, th formato of dal quotts, radals, ad th xtsos ad otratos of dals Kywords Idals, Commutatv Algbra, Itgral Doma, Fld, Commutatv Rgs, Extsos of Idals, Cotrato of Idals Mathmats Subt Classfato 46H0, 5B0, 3Gxx, 6S70 0 Itroduto Throughout ths work w shall arry out rta xrss st by Profssor MA Atyah hs Nots o Commutatv Algbra Ths moograph was frst publshd mmograph by Mathmatal Isttut at Oxford Uvrsty 965 Th whol of our prstato rls havly o Atyah s prototyp whh was latr publshd as our rfr [] by Addso Wsly 969 W dsuss gral mthod by whh o a dtrm th oprato o dals that s, bhavor of th dals a ommutatv utal rg By opratos, w ma bas opratos o dals suh as addto, multplato, trsto, th formato of dal quotts, radals, th xtsos ad otrato of dals If 0 b a rg, th has a maxmal dal ad a mmal prm dals s th maor obtv of ths work I spf ass whh hav b xtsvly studd ths qustos ar xtrmly hard to aswr Th ltraturs ovrd by ths study ar farly xtsv, s for xampl [3], [4], or [6] W osdr th formato of radals of dals whh s a atural osdrato th otxt of soluto of quatos ad th fatorzato of lmts ommutatv rgs Lt a b a dal of Th radal of x a for som tgr a, r a s th st of all x, suh that (or quvaltly, t s th st of lmts x whos mag x th fator rg a s lpott) Rtly Lpma [5], Eak t-al [8] ad Sally t-al [9] hav rmovd th assumpto o haratrst W a rovr ths rsult Idd, w fd osdrably mor Johso [7] has oturd that maxmal dals rdus th tralzrs ad oprators ad Eago t-al [] has oturd that dals dfd by matrs ad rta omplx assoatd to thm hav a uqu proprts W ar abl to show Dfto Wh w say that s a rg, w shall ma that multplato s ommutatv ad that th multplatv dtty, dotd by, also blogs to Morovr, 0, whr 0 s addtv dtty Also; f, ar rgs, a rg homomorphsm f Is a mappg suh that whvr x, y, w hav f x y f x f y f xy f x f y f W shall dot th dal of multpls of a lmt x by x That s x ax a I gral, w doat a dal of by otato a, b, p, m t I ths work, w dsuss th bas oprato o dals, suh as addto, trsto, multplato, th formato of dal quotts, radals, ad th xtsos ad otratos of dals W start wth th lass of dals whh ar by far th most mportat Commutatv Algbra By dfto, a dal p s to b th prm dal of f IJCER Mar-Apr 0 Vol Issu No 7-77 Pag 7

2 Adagba O Hry /Itratoal Joural Of Computatoal Egrg Rsarh / ISSN () p,, ad () xy p xp or y p Part of th raso for th mporta of prm dals ls th followg proposto whh w stat wthout proof Proposto A dal of s a prm dal f ad oly f ts assoatd quott rg A dal m s sad to b maxmal f m ad () a s a tgral doma () a s a dal suh that m a ; th thr a m or a W prov that vry maxmal dal s a prm dal by obtag th followg rsults 3 Proposto A dal a of s maxmal f ad oly f ts assoatd quott a s a fld Suppos a s a maxmal dal of, th a ad so a 0, th zro rg For ay x, w wrt x x a x y y a ad suppos that x 0 a To fd ts vrs, w ot that a x a a x Morovr, w hav a a x ; h ax Ad so thr xsts y suh that xy mod a H x y a Ths provs that a s a fld Covrsly, suppos that s a dal suh that a s a fld ad a b for ay dal b of, th frst luso bg strt Lt x, yb, y a Th y 0 a S a s a fld, o a fd suh that x y z x yz a b x b, s y b, by hypothss Ths provs that b b H a s maxmal Q E D prm Combg () ad (3), t s lar that vry maxmal dal s prm Th ovrs s obvously fals, s 0 s, th rg of tgrs, wthout bg maxmal Nxt, to dmostrat th abuda of prm dal, w prov th followg 4 Proposto Lt 0 b a rg, th has a maxmal dal Lt S b th st of dal a of th rg By hypothss, 0 ad so S s o-mpty W a thrfor b I S, so that for ay, I thr b b or b b ordr S by luso Cosdr ay asdg ha Cosdr th st b b, w lam that b s a dal I Idd, f x b, th x b for som I H, y b for som I ad wthout loss of gralty, w may assum, a ax b b b Furthrmor, f, b b x y b x y b b x y b, th Thus, our lam has b stablshd Morovr, s I b by hypothss, w ddu that b H b S Thus, ay asdg ha S has uppr boud S ad so by zor s lmma S has a maxmal lmt, m say Ths provs our proposto 5 Proposto If 0 s a rg, th has a mmal prm dal IJCER Mar-Apr 0 Vol Issu No 7-77 Pag 7

3 Adagba O Hry /Itratoal Joural Of Computatoal Egrg Rsarh / ISSN Lt b th st of prm dals s o-mpty by trsto s a dal a p p for som I I pp 4 Lt p b a ha of prm dals Thr To prov that a s dd a prm dal, suppos that xy a, y a, th y p for som I S xy p, I, by th supposto that xy a ad by hypothss p s prm, t follows that x p Morovr, f p p, th y p y p, ad by th argumt, w hav ust usd, w ddu that x p Thus xa p p p Clarly a, s I p Thus, a s a prm dal Morovr, s p p p for all, t follows that ay ha has a lowr boud ad by zor s lmma, has a mmal lmt Ths provs our proposto Nxt w tur to som rsults rlatd to th formulato of dals quotts Lt, a b b dals a ommutatv rg, th dal quott of a by b wrtt a b s dfd by a b x xb a 6 Proposto Lt ab, ad b dals of rg, th () a a b () a bb () a a b a b a b (v) a b a b (v) a b a b () a a b By dfto of dal, xa xb a (baus a s a dal) x a b a b a a b () By dfto a bb s gratd by produts of th form xy whr x a b ad y b xa b, yb xy a H, ah grator of a bb ls a ad so () Lt x a b ad osdr ay grator yz of b Th z zxa b yzx a, s y b b to a lmt of a xb a x a b a b a b H Nxt, lt u a b For ay lmt v, w b, w hav Lt sa b, t b, r Th a b a b provg qualty of th gvg dals I by dfto of But th a b b a as rqurd H multplato by x trasforms vry grator of vw b b uvwa uw a u a b a b a b st a str a srb a s a b s a b IJCER Mar-Apr 0 Vol Issu No 7-77 Pag 73

4 Adagba O Hry /Itratoal Joural Of Computatoal Egrg Rsarh / ISSN (v) Lt x a b ; th xb a a b a b for ah x a b for ah x a b Covrsly, y a b y a b for ah yb a b y a b a b a b Ths provs qualty (v) Lt xa b b a I partular, b b xb a x a b x a b H a b a b b u y y y, whr y b, th for ah S a lmt of s of th form z a b zy a z a b a b a b By Axom of Extso a b a b Nxt, w osdr th formato of radals of dals, whh s a atural osdrato th otxt of soluto of quatos ad th fatorzato of lmts ommutatv rgs Lt a b a dal of Th radal of a, r a s th st of all x, suh that quvaltly, t s th st of lmts x whos mag x th fator rg 7 Proposto Lt a, b b dals of a rg ad p b a prm dal of Th () r a a () rra r a () rab r a b r a r b (v) r a a (v) f p s a prm, r p (v) ra b r ra r b p for som 0 () f x a, th takg, w hav () By (), ra r r a Covrsly, H a r a x x r a m for som 0 m m That s, rra r a x r r a x r a for som m 0 x a for 0 () ab ab rab ra b Also, lt x a b x a, th x a s lpott) x a b for som a for som tgr (or m m a ad y y y ab y r ab H, 0 x a, x b xr a, xr b xr a r b r a b r a r b Fally, lt y ra rb, th y, 0 rarb rab ad w hav th ha of luso rab ra b ra rb r a b By axom of xtso, w ddu that IJCER Mar-Apr 0 Vol Issu No 7-77 Pag 74

5 Adagba O Hry /Itratoal Joural Of Computatoal Egrg Rsarh / ISSN rab r a b r a r b (v) ra a for som 0 a a a a a ra by a ra ra (v) a b ra rb by ra b rra rb Covrsly, lt yr r a r b, th y ra r b Suppos y u v t 0, s 0 H smultaously H (v) Lt x r p (), whr u r a, v r b ts ts k y u v u v k u v a b Thus y r a b, th x p for 0 r p r p p p Q E D for som 0 t s wth ds ts;, that s, u a, v b for whr t s mpossbl for s ad k t x p, s p s prm H p r p p Thus r p p by Nxt, w osdr xtsos ad otratos of dals Idd, lt, b ommutatv utal rgs ad lt f b a rg homomorphsm Th xtso of a dal a of rlatv to f dotd by gratd by f a th mag of a udr f That s, dotd by a f a y y f x x a, y Covrsly, f b s a dal, th th vrs mag, f b b ad s alld th otrato of b dud by f That s, 8 Proposto Lt a, a b dals of, b, b (), (), (), a a a a b b b b a, s th dal b of s asly vrfd to b a dal Ths dal s b f b dals of ad f b ay rg homomorphsm a a a a b b b b a a a a b b b b (v) a a a a, b b b b (v) r a r a, r b r b (v) Th st of xtsos s losd udr th oprato of sum ad produt whl th st C of otratos s losd udr th rmag thr () (a) Lt xa a, th x uf x so that f x f x f x, x u f x u f x u f x a a H a a a a whr x a a Lt x x x for som,, whr x a x a But th, w hav Th w u f x v f y x a a a, y a a a H wa a That s, a a a a, whr IJCER Mar-Apr 0 Vol Issu No 7-77 Pag 75

6 Adagba O Hry /Itratoal Joural Of Computatoal Egrg Rsarh / ISSN , whr f x b ad f x Thus, f x f x x f x f x b b Wh xb b That s, b b b b (b) Lt x b b, th x x x b ()(a) Lt xa a, th xu f x x a a But th x a, x a x u f x a ad x uf x a That s, x uf x a a H a a a a (b) If xb b f xb b f x b,, Covrsly, lt y b, b th f yb, f y b H f y b b y b b b b b b f x b xb xb xb b b b b b It follows that b b b b ()(a) Lt x a a Th x u f x, whr, x aa for ah S x v w, v a, w a ad u f x u f v w u f v f w a a for ah It follows that x a a H a a a a Covrsly, lt y a a, th y uv whr u a ad v a For ay, w hav u z f x, x a, z, v wk f sk, sk a, wk ad uv z f x wk f sk z wk f x f sk z wk f x sk, x a, sk a uv z wk f x sk aa for ah That s, y aa Thus a a a a Fally, a a a a H, whr f x b ad f y b (v)(a) Lt x a a, th x u f x whr u ad x a a (b) Lt x b b, th x xy f x f x y f x f y bb x bb b b b b all Lt y a, th y v f y whr v, y a xy a, for all ad t follows that xy u f x v f y S Thus xy u v f x y a a a x a a a a a a (b) Lt y b b f y b b Lt x b, th f x b f y f x b f xy b yx b b y b y b b b b b b (v)(a) Lt y r a, th y u f y whr y r a IJCER Mar-Apr 0 Vol Issu No 7-77 Pag 76 for ah That s, Thus x a a, for

7 Adagba O Hry /Itratoal Joural Of Computatoal Egrg Rsarh / ISSN y H y uf y r a Thus r a r a a for som 0 f y f y a f y r a for ah (b) yr b f y r b f y b for som 0 y b yr b r b r b m Covrsly, f x r b, th x b for som m 0 Thus f x m b f x m b f x r b x r b r b r b H r b r b (v)(a) Th st of xtsos s losd udr th opratos of sum ad produt Idd, ()(a) a a a a ()(a) a a a a ad ths surs that th sum of two xtsos s tslf a xtso Morovr shows th produt of two xtsos s tslf a xtso Th st C of otratos s losd udr trsto by vrtu of ()(b) b b b b hav a ad s losd udr th formato of radals by vrtu of vb, r b r b To prov that C s losd udr th formato of dal quott, w frst ot that for ay dal a, w a ad also for b, w hav b b H, w hav th qualty, b b b b Coluso Our dsusso of oprato o dals (ad dals of ommutatv rgs as a spal as), hlps to xpla th suprm mporta of prm dals ommutatv Algbra Itutvly w osdr th formato of radals of dals, whh s a atural osdrato th otxt of soluto of quatos ad th fatorzato of lmts ommutatv rgs Th xtso of a dal a of rlatv to f dotd by That s, dotd by a, s th dal b of gratd by a f a y y f x x a, y Covrsly, f b s a dal, th th vrs mag, f b b ad s alld th otrato of b dud by f That s, f a th mag of a udr f s asly vrfd to b a dal Ths dal s b f b Our rsults (4) ad (5) shows that th dals of o-trval utal rg form a omplt latt Ths s a proprty whh A- modul dos ot shar Rfrs Atyah, M F(969), Itroduto to Commutatv Algbra Addso-Wsly Eago J ad Northoth D (96), Idal dfd by matrs ad a rta omplx assoatd to thm, pro, Royal so A69, Esbud D ad Evas EG(976), A gralzd prpal dal thorm, Nagoya Math J 6, Hrks, M(953), O th prm dals of th rg of tr futo Paf JMath 3, Lpma J (97), Stabl dals ad Arf rgs, Amr J Math 93, Rs J (96), Trasforms of loal rgs ad a thorm o multplts of dals, pro Combrdgs phlosso57, Johso BE (968), tralzrs ad oprators rdud by maxmal dals, J Lodo Math So 43, Eak P ad Sathay A (976), prstabl dals, J of Alg 4, Sally J D ad Vasolos W V (975), Flat dal, omm Alg 3, IJCER Mar-Apr 0 Vol Issu No 7-77 Pag 77

Independent Domination in Line Graphs

Independent Domination in Line Graphs Itratoal Joural of Sctfc & Egrg Rsarch Volum 3 Issu 6 Ju-1 1 ISSN 9-5518 Iddt Domato L Grahs M H Muddbhal ad D Basavarajaa Abstract - For ay grah G th l grah L G H s th trscto grah Thus th vrtcs of LG

More information

Total Prime Graph. Abstract: We introduce a new type of labeling known as Total Prime Labeling. Graphs which admit a Total Prime labeling are

Total Prime Graph. Abstract: We introduce a new type of labeling known as Total Prime Labeling. Graphs which admit a Total Prime labeling are Itratoal Joural Of Computatoal Egrg Rsarch (crol.com) Vol. Issu. 5 Total Prm Graph M.Rav (a) Ramasubramaa 1, R.Kala 1 Dpt.of Mathmatcs, Sr Shakth Isttut of Egrg & Tchology, Combator 641 06. Dpt. of Mathmatcs,

More information

Department of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis

Department of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis Dpartmt of Mathmatcs ad Statstcs Ida Isttut of Tchology Kapur MSOA/MSO Assgmt 3 Solutos Itroducto To omplx Aalyss Th problms markd (T) d a xplct dscusso th tutoral class. Othr problms ar for hacd practc..

More information

International Journal of Mathematical Archive-6(5), 2015, Available online through ISSN

International Journal of Mathematical Archive-6(5), 2015, Available online through  ISSN Itratoal Joural of Mathmatal Arhv-6), 0, 07- Avalabl ol through wwwjmafo ISSN 9 06 ON THE LINE-CUT TRANSFORMATION RAPHS B BASAVANAOUD*, VEENA R DESAI Dartmt of Mathmats, Karatak Uvrsty, Dharwad - 80 003,

More information

3.4 Properties of the Stress Tensor

3.4 Properties of the Stress Tensor cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato

More information

Aotomorphic Functions And Fermat s Last Theorem(4)

Aotomorphic Functions And Fermat s Last Theorem(4) otomorphc Fuctos d Frmat s Last Thorm(4) Chu-Xua Jag P. O. Box 94 Bg 00854 P. R. Cha agchuxua@sohu.com bsract 67 Frmat wrot: It s mpossbl to sparat a cub to two cubs or a bquadrat to two bquadrats or gral

More information

Almost all Cayley Graphs Are Hamiltonian

Almost all Cayley Graphs Are Hamiltonian Acta Mathmatca Sca, Nw Srs 199, Vol1, No, pp 151 155 Almost all Cayly Graphs Ar Hamltoa Mg Jxag & Huag Qogxag Abstract It has b cocturd that thr s a hamltoa cycl vry ft coctd Cayly graph I spt of th dffculty

More information

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES DEFINITION OF A COMPLEX NUMBER: A umbr of th form, whr = (, ad & ar ral umbrs s calld a compl umbr Th ral umbr, s calld ral part of whl s calld

More information

Different types of Domination in Intuitionistic Fuzzy Graph

Different types of Domination in Intuitionistic Fuzzy Graph Aals of Pur ad Appld Mathmatcs Vol, No, 07, 87-0 ISSN: 79-087X P, 79-0888ol Publshd o July 07 wwwrsarchmathscorg DOI: http://dxdoorg/057/apama Aals of Dffrt typs of Domato Itutostc Fuzzy Graph MGaruambga,

More information

Chiang Mai J. Sci. 2014; 41(2) 457 ( 2) ( ) ( ) forms a simply periodic Proof. Let q be a positive integer. Since

Chiang Mai J. Sci. 2014; 41(2) 457 ( 2) ( ) ( ) forms a simply periodic Proof. Let q be a positive integer. Since 56 Chag Ma J Sc 0; () Chag Ma J Sc 0; () : 56-6 http://pgscccmuacth/joural/ Cotrbutd Papr Th Padova Sucs Ft Groups Sat Taș* ad Erdal Karaduma Dpartmt of Mathmatcs, Faculty of Scc, Atatürk Uvrsty, 50 Erzurum,

More information

Reliability of time dependent stress-strength system for various distributions

Reliability of time dependent stress-strength system for various distributions IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,

More information

ON RIGHT(LEFT) DUO PO-SEMIGROUPS. S. K. Lee and K. Y. Park

ON RIGHT(LEFT) DUO PO-SEMIGROUPS. S. K. Lee and K. Y. Park Kangwon-Kyungki Math. Jour. 11 (2003), No. 2, pp. 147 153 ON RIGHT(LEFT) DUO PO-SEMIGROUPS S. K. L and K. Y. Park Abstract. W invstigat som proprtis on right(rsp. lft) duo po-smigroups. 1. Introduction

More information

In 1991 Fermat s Last Theorem Has Been Proved

In 1991 Fermat s Last Theorem Has Been Proved I 99 Frmat s Last Thorm Has B Provd Chu-Xua Jag P.O.Box 94Bg 00854Cha Jcxua00@s.com;cxxxx@6.com bstract I 67 Frmat wrot: It s mpossbl to sparat a cub to two cubs or a bquadrat to two bquadrats or gral

More information

ERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca**

ERDOS-SMARANDACHE NUMBERS. Sabin Tabirca* Tatiana Tabirca** ERDO-MARANDACHE NUMBER b Tbrc* Tt Tbrc** *Trslv Uvrsty of Brsov, Computr cc Dprtmt **Uvrsty of Mchstr, Computr cc Dprtmt Th strtg pot of ths rtcl s rprstd by rct work of Fch []. Bsd o two symptotc rsults

More information

Introduction to logistic regression

Introduction to logistic regression Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data

More information

Volumes of Solids of Revolution via Summation Methods

Volumes of Solids of Revolution via Summation Methods olums of Solds of Rvoluto va Summato Mthods Tlak d Alws talws@slu.du Dpartmt of Mathmats Southastr Lousaa Uvrsty Hammod, LA 70403 USA Astrat: I ths papr, w wll show how to alulat volums of rta solds of

More information

Further Results on Pair Sum Graphs

Further Results on Pair Sum Graphs Applid Mathmatis, 0,, 67-75 http://dx.doi.org/0.46/am.0.04 Publishd Oli Marh 0 (http://www.sirp.org/joural/am) Furthr Rsults o Pair Sum Graphs Raja Poraj, Jyaraj Vijaya Xavir Parthipa, Rukhmoi Kala Dpartmt

More information

The probability of Riemann's hypothesis being true is. equal to 1. Yuyang Zhu 1

The probability of Riemann's hypothesis being true is. equal to 1. Yuyang Zhu 1 Th robablty of Ra's hyothss bg tru s ual to Yuyag Zhu Abstract Lt P b th st of all r ubrs P b th -th ( ) lt of P ascdg ordr of sz b ostv tgrs ad s a rutato of wth Th followg rsults ar gv ths ar: () Th

More information

Counting the compositions of a positive integer n using Generating Functions Start with, 1. x = 3 ), the number of compositions of 4.

Counting the compositions of a positive integer n using Generating Functions Start with, 1. x = 3 ), the number of compositions of 4. Coutg th compostos of a postv tgr usg Gratg Fuctos Start wth,... - Whr, for ampl, th co-ff of s, for o summad composto of aml,. To obta umbr of compostos of, w d th co-ff of (...) ( ) ( ) Hr for stac w

More information

Numerical Method: Finite difference scheme

Numerical Method: Finite difference scheme Numrcal Mthod: Ft dffrc schm Taylor s srs f(x 3 f(x f '(x f ''(x f '''(x...(1! 3! f(x 3 f(x f '(x f ''(x f '''(x...(! 3! whr > 0 from (1, f(x f(x f '(x R Droppg R, f(x f(x f '(x Forward dffrcg O ( x from

More information

Repeated Trials: We perform both experiments. Our space now is: Hence: We now can define a Cartesian Product Space.

Repeated Trials: We perform both experiments. Our space now is: Hence: We now can define a Cartesian Product Space. Rpatd Trals: As w hav lood at t, th thory of probablty dals wth outcoms of sgl xprmts. I th applcatos o s usually trstd two or mor xprmts or rpatd prformac or th sam xprmt. I ordr to aalyz such problms

More information

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES

LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt

More information

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn. Modul 10 Addtonal Topcs 10.1 Lctur 1 Prambl: Dtrmnng whthr a gvn ntgr s prm or compost s known as prmalty tstng. Thr ar prmalty tsts whch mrly tll us whthr a gvn ntgr s prm or not, wthout gvng us th factors

More information

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation.

Section 6.1. Question: 2. Let H be a subgroup of a group G. Then H operates on G by left multiplication. Describe the orbits for this operation. MAT 444 H Barclo Spring 004 Homwork 6 Solutions Sction 6 Lt H b a subgroup of a group G Thn H oprats on G by lft multiplication Dscrib th orbits for this opration Th orbits of G ar th right costs of H

More information

Unbalanced Panel Data Models

Unbalanced Panel Data Models Ubalacd Pal Data odls Chaptr 9 from Baltag: Ecoomtrc Aalyss of Pal Data 5 by Adrás alascs 4448 troducto balacd or complt pals: a pal data st whr data/obsrvatos ar avalabl for all crosssctoal uts th tr

More information

Bayesian Shrinkage Estimator for the Scale Parameter of Exponential Distribution under Improper Prior Distribution

Bayesian Shrinkage Estimator for the Scale Parameter of Exponential Distribution under Improper Prior Distribution Itratoal Joural of Statstcs ad Applcatos, (3): 35-3 DOI:.593/j.statstcs.3. Baysa Shrkag Estmator for th Scal Paramtr of Expotal Dstrbuto udr Impropr Pror Dstrbuto Abbas Najm Salma *, Rada Al Sharf Dpartmt

More information

Channel Capacity Course - Information Theory - Tetsuo Asano and Tad matsumoto {t-asano,

Channel Capacity Course - Information Theory - Tetsuo Asano and Tad matsumoto   {t-asano, School of Iformato Scc Chal Capacty 009 - Cours - Iformato Thory - Ttsuo Asao ad Tad matsumoto Emal: {t-asao matumoto}@jast.ac.jp Japa Advacd Isttut of Scc ad Tchology Asahda - Nom Ishkawa 93-9 Japa http://www.jast.ac.jp

More information

Derangements and Applications

Derangements and Applications 2 3 47 6 23 Journal of Intgr Squncs, Vol. 6 (2003), Articl 03..2 Drangmnts and Applications Mhdi Hassani Dpartmnt of Mathmatics Institut for Advancd Studis in Basic Scincs Zanjan, Iran mhassani@iasbs.ac.ir

More information

and one unit cell contains 8 silicon atoms. The atomic density of silicon is

and one unit cell contains 8 silicon atoms. The atomic density of silicon is Chaptr Vsualzato o th Slo Crystal (a) Plas rr to Fgur - Th 8 orr atoms ar shar by 8 ut lls a thror otrbut atom Smlarly, th 6 a atoms ar ah shar by ut lls a otrbut atoms A, 4 atoms ar loat s th ut ll H,

More information

The Equitable Dominating Graph

The Equitable Dominating Graph Intrnational Journal of Enginring Rsarch and Tchnology. ISSN 0974-3154 Volum 8, Numbr 1 (015), pp. 35-4 Intrnational Rsarch Publication Hous http://www.irphous.com Th Equitabl Dominating Graph P.N. Vinay

More information

A Measure of Inaccuracy between Two Fuzzy Sets

A Measure of Inaccuracy between Two Fuzzy Sets LGRN DEMY OF SENES YERNETS ND NFORMTON TEHNOLOGES Volum No 2 Sofa 20 Masur of accuracy btw Two Fuzzy Sts Rajkumar Vrma hu Dv Sharma Dpartmt of Mathmatcs Jayp sttut of formato Tchoy (Dmd vrsty) Noda (.P.)

More information

i j i i i = S i 1 Y Y i F i ..., X in

i j i i i = S i 1 Y Y i F i ..., X in R ASHI :43-48 (06 ESIA IO OF HE SALLES LOCA IO OF WO EGAIVE EXPOEIAL POPULAIOS Partha Pal ad Uttam Badyopadhyay Dpartmt of Statsts aulaa Azad Collg Kolkata Dpartmt of Statsts Uvrsty of Calutt a ABSRAC

More information

On Estimation of Unknown Parameters of Exponential- Logarithmic Distribution by Censored Data

On Estimation of Unknown Parameters of Exponential- Logarithmic Distribution by Censored Data saqartvlos mcrbata rovul akadms moamb, t 9, #2, 2015 BULLETIN OF THE GEORGIAN NATIONAL ACADEMY OF SCIENCES, vol 9, o 2, 2015 Mathmatcs O Estmato of Ukow Paramtrs of Epotal- Logarthmc Dstrbuto by Csord

More information

Suzan Mahmoud Mohammed Faculty of science, Helwan University

Suzan Mahmoud Mohammed Faculty of science, Helwan University Europa Joural of Statstcs ad Probablty Vol.3, No., pp.4-37, Ju 015 Publshd by Europa Ctr for Rsarch Trag ad Dvlopmt UK (www.ajourals.org ESTIMATION OF PARAMETERS OF THE MARSHALL-OLKIN WEIBULL DISTRIBUTION

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

Integral points on hyperbolas over Z: A special case

Integral points on hyperbolas over Z: A special case Itgral pots o hprbolas ovr Z: A spcal cas `Pag of 7 Kostat Zlator Dpartmt of Mathmatcs ad Computr Scc Rhod Islad Collg 600 Mout Plasat Avu Provdc, R.I. 0908-99, U.S.A. -mal addrss: ) Kzlator@rc.du ) Kostat_zlator@ahoo.com

More information

Petru P. Blaga-Reducing of variance by a combined scheme based on Bernstein polynomials

Petru P. Blaga-Reducing of variance by a combined scheme based on Bernstein polynomials Ptru P Blaa-Rdu o vara by a obd sh basd o Brst olyoals REUCG OF VARACE BY A COMBE SCHEME BASE O BERSTE POYOMAS by Ptru P Blaa Abstrat A obd sh o th otrol varats ad whtd uor sal thods or rdu o vara s vstatd

More information

Chapter 4 NUMERICAL METHODS FOR SOLVING BOUNDARY-VALUE PROBLEMS

Chapter 4 NUMERICAL METHODS FOR SOLVING BOUNDARY-VALUE PROBLEMS Chaptr 4 NUMERICL METHODS FOR SOLVING BOUNDRY-VLUE PROBLEMS 00 4. Varatoal formulato two-msoal magtostatcs Lt th followg magtostatc bouar-valu problm b cosr ( ) J (4..) 0 alog ΓD (4..) 0 alog ΓN (4..)

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

minimize c'x subject to subject to subject to

minimize c'x subject to subject to subject to z ' sut to ' M ' M N uostrd N z ' sut to ' z ' sut to ' sl vrls vtor of : vrls surplus vtor of : uostrd s s s s s s z sut to whr : ut ost of :out of : out of ( ' gr of h food ( utrt : rqurt for h utrt

More information

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t

Lecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t Cla ot fo EE6318/Phy 6383 Spg 001 Th doumt fo tutoal u oly ad may ot b opd o dtbutd outd of EE6318/Phy 6383 tu 7 Dffuo Ou flud quato that w dvlopd bfo a: f ( )+ v v m + v v M m v f P+ q E+ v B 13 1 4 34

More information

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.

Hardy-Littlewood Conjecture and Exceptional real Zero. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R. Hardy-Littlwood Conjctur and Excptional ral Zro JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that Hardy-Littlwood

More information

On the Possible Coding Principles of DNA & I Ching

On the Possible Coding Principles of DNA & I Ching Sctfc GOD Joural May 015 Volum 6 Issu 4 pp. 161-166 Hu, H. & Wu, M., O th Possbl Codg Prcpls of DNA & I Chg 161 O th Possbl Codg Prcpls of DNA & I Chg Hupg Hu * & Maox Wu Rvw Artcl ABSTRACT I ths rvw artcl,

More information

Washington State University

Washington State University he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us

More information

Superbosonization meets Free Probability

Superbosonization meets Free Probability Suprbosoato mts Fr Probablty M Zrbaur jot wor wth S Madt Eulr Symposum St Ptrsburg Ju 3 009 Itroducto From momts to cumulats Larg- charactrstc fucto by fr probablty Suprbosoato Applcato to dsordrd scattrg

More information

Chapter 6. pn-junction diode: I-V characteristics

Chapter 6. pn-junction diode: I-V characteristics Chatr 6. -jucto dod: -V charactrstcs Tocs: stady stat rsos of th jucto dod udr ald d.c. voltag. ucto udr bas qualtatv dscusso dal dod quato Dvatos from th dal dod Charg-cotrol aroach Prof. Yo-S M Elctroc

More information

Ordinary Differential Equations

Ordinary Differential Equations Basi Nomlatur MAE 0 all 005 Egirig Aalsis Ltur Nots o: Ordiar Diffrtial Equatios Author: Profssor Albrt Y. Tog Tpist: Sakurako Takahashi Cosidr a gral O. D. E. with t as th idpdt variabl, ad th dpdt variabl.

More information

Priority Search Trees - Part I

Priority Search Trees - Part I .S. 252 Pro. Rorto Taassa oputatoal otry S., 1992 1993 Ltur 9 at: ar 8, 1993 Sr: a Q ol aro Prorty Sar Trs - Part 1 trouto t last ltur, w loo at trval trs. or trval pot losur prols, ty us lar spa a optal

More information

Spectral Synthesis in the Heisenberg Group

Spectral Synthesis in the Heisenberg Group Intrnational Journal of Mathmatical Analysis Vol. 13, 19, no. 1, 1-5 HIKARI Ltd, www.m-hikari.com https://doi.org/1.1988/ijma.19.81179 Spctral Synthsis in th Hisnbrg Group Yitzhak Wit Dpartmnt of Mathmatics,

More information

β-spline Estimation in a Semiparametric Regression Model with Nonlinear Time Series Errors

β-spline Estimation in a Semiparametric Regression Model with Nonlinear Time Series Errors Amrca Joural of Appld Sccs, (9): 343-349, 005 ISSN 546-939 005 Scc Publcatos β-spl Estmato a Smparamtrc Rgrsso Modl wth Nolar Tm Srs Errors Jhog You, ma Ch ad 3 Xa Zhou Dpartmt of ostatstcs, Uvrsty of

More information

Triple Play: From De Morgan to Stirling To Euler to Maclaurin to Stirling

Triple Play: From De Morgan to Stirling To Euler to Maclaurin to Stirling Tripl Play: From D Morga to Stirlig To Eulr to Maclauri to Stirlig Augustus D Morga (186-1871) was a sigificat Victoria Mathmaticia who mad cotributios to Mathmatics History, Mathmatical Rcratios, Mathmatical

More information

Group Codes Define Over Dihedral Groups of Small Order

Group Codes Define Over Dihedral Groups of Small Order Malaysan Journal of Mathmatcal Scncs 7(S): 0- (0) Spcal Issu: Th rd Intrnatonal Confrnc on Cryptology & Computr Scurty 0 (CRYPTOLOGY0) MALAYSIA JOURAL OF MATHEMATICAL SCIECES Journal hompag: http://nspm.upm.du.my/ournal

More information

Thomas J. Osler. 1. INTRODUCTION. This paper gives another proof for the remarkable simple

Thomas J. Osler. 1. INTRODUCTION. This paper gives another proof for the remarkable simple 5/24/5 A PROOF OF THE CONTINUED FRACTION EXPANSION OF / Thomas J Oslr INTRODUCTION This ar givs aothr roof for th rmarkabl siml cotiud fractio = 3 5 / Hr is ay ositiv umbr W us th otatio x= [ a; a, a2,

More information

Deift/Zhou Steepest descent, Part I

Deift/Zhou Steepest descent, Part I Lctur 9 Dift/Zhou Stpst dscnt, Part I W now focus on th cas of orthogonal polynomials for th wight w(x) = NV (x), V (x) = t x2 2 + x4 4. Sinc th wight dpnds on th paramtr N N w will writ π n,n, a n,n,

More information

Complex Numbers. Prepared by: Prof. Sunil Department of Mathematics NIT Hamirpur (HP)

Complex Numbers. Prepared by: Prof. Sunil Department of Mathematics NIT Hamirpur (HP) th Topc Compl Nmbrs Hyprbolc fctos ad Ivrs hyprbolc fctos, Rlato btw hyprbolc ad crclar fctos, Formla of hyprbolc fctos, Ivrs hyprbolc fctos Prpard by: Prof Sl Dpartmt of Mathmatcs NIT Hamrpr (HP) Hyprbolc

More information

THE GENERAL CHINESE REMAINDER THEOREM

THE GENERAL CHINESE REMAINDER THEOREM Sor Ift, Flor Chlaru / Coputg, 27, Vol 6, Issu, 44-5 oputg@tatdutua wwwoputgolt ISSN 727-629 Itratoal Joural of Coputg THE GENERAL CHINESE REMAINDER THEOREM Sor Ift, Flor Chlaru 2 Faulty of Coputr S, "Al

More information

MODEL QUESTION. Statistics (Theory) (New Syllabus) dx OR, If M is the mode of a discrete probability distribution with mass function f

MODEL QUESTION. Statistics (Theory) (New Syllabus) dx OR, If M is the mode of a discrete probability distribution with mass function f MODEL QUESTION Statstcs (Thory) (Nw Syllabus) GROUP A d θ. ) Wrt dow th rsult of ( ) ) d OR, If M s th mod of a dscrt robablty dstrbuto wth mass fucto f th f().. at M. d d ( θ ) θ θ OR, f() mamum valu

More information

POSTERIOR ESTIMATES OF TWO PARAMETER EXPONENTIAL DISTRIBUTION USING S-PLUS SOFTWARE

POSTERIOR ESTIMATES OF TWO PARAMETER EXPONENTIAL DISTRIBUTION USING S-PLUS SOFTWARE Joural of Rliabilit ad tatistial tudis [IN: 0974-804 Prit 9-5666 Oli] Vol. 3 Issu 00:7-34 POTERIOR ETIMATE OF TWO PARAMETER EXPONENTIAL DITRIBUTION UING -PLU OFTWARE.P. Ahmad ad Bilal Ahmad Bhat. Dartmt

More information

07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n

07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n 07 - SEQUENCES AND SERIES Pag ( Aswrs at h d of all qustios ) ( ) If = a, y = b, z = c, whr a, b, c ar i A.P. ad = 0 = 0 = 0 l a l

More information

An Application of Hardy-Littlewood Conjecture. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.China

An Application of Hardy-Littlewood Conjecture. JinHua Fei. ChangLing Company of Electronic Technology Baoji Shannxi P.R.China An Application of Hardy-Littlwood Conjctur JinHua Fi ChangLing Company of Elctronic Tchnology Baoji Shannxi P.R.China E-mail: fijinhuayoujian@msn.com Abstract. In this papr, w assum that wakr Hardy-Littlwood

More information

A Mean- maximum Deviation Portfolio Optimization Model

A Mean- maximum Deviation Portfolio Optimization Model A Mea- mamum Devato Portfolo Optmzato Model Wu Jwe Shool of Eoom ad Maagemet, South Cha Normal Uversty Guagzhou 56, Cha Tel: 86-8-99-6 E-mal: wujwe@9om Abstrat The essay maes a thorough ad systemat study

More information

Frequency hopping sequences with optimal partial Hamming correlation

Frequency hopping sequences with optimal partial Hamming correlation 1 Frqucy hoppg squcs wth optmal partal Hammg corrlato Jgju Bao ad ju J arxv:1511.02924v2 [cs.it] 11 Nov 2015 Abstract Frqucy hoppg squcs (FHSs) wth favorabl partal Hammg corrlato proprts hav mportat applcatos

More information

Control Systems (Lecture note #6)

Control Systems (Lecture note #6) 6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs

More information

Correlation in tree The (ferromagnetic) Ising model

Correlation in tree The (ferromagnetic) Ising model 5/3/00 :\ jh\slf\nots.oc\7 Chaptr 7 Blf propagato corrlato tr Corrlato tr Th (frromagtc) Isg mol Th Isg mol s a graphcal mol or par ws raom Markov fl cosstg of a urct graph wth varabls assocat wth th vrtcs.

More information

Estimation Theory. Chapter 4

Estimation Theory. Chapter 4 Estmato ory aptr 4 LIEAR MOELS W - I matrx form Estmat slop B ad trcpt A,,.. - WG W B A l fttg Rcall W W W B A W ~ calld vctor I gral, ormal or Gaussa ata obsrvato paramtr Ma, ovarac KOW p matrx to b stmatd,

More information

More Statistics tutorial at 1. Introduction to mathematical Statistics

More Statistics tutorial at   1. Introduction to mathematical Statistics Mor Sttstcs tutorl t wwwdumblttldoctorcom Itroducto to mthmtcl Sttstcs Fl Soluto A Gllup survy portrys US trprurs s " th mvrcks, drmrs, d lors whos rough dgs d ucompromsg d to do t thr ow wy st thm shrp

More information

Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem

Extension Formulas of Lauricella s Functions by Applications of Dixon s Summation Theorem Avll t http:pvu.u Appl. Appl. Mth. ISSN: 9-9466 Vol. 0 Issu Dr 05 pp. 007-08 Appltos Appl Mthts: A Itrtol Jourl AAM Etso oruls of Lurll s utos Appltos of Do s Suto Thor Ah Al Atsh Dprtt of Mthts A Uvrst

More information

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES. 1. Statement of results

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES. 1. Statement of results BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES DONALD M. DAVIS Abstract. If p is a prim and n a positiv intgr, lt ν p (n dnot th xponnt of p in n, and u p (n n/p νp(n th unit part of n. If α

More information

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES

BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES BINOMIAL COEFFICIENTS INVOLVING INFINITE POWERS OF PRIMES DONALD M. DAVIS Abstract. If p is a prim (implicit in notation and n a positiv intgr, lt ν(n dnot th xponnt of p in n, and U(n n/p ν(n, th unit

More information

Bayes Estimation of Parameter of Laplace Distribution Under a New LINEX-Based Loss Function

Bayes Estimation of Parameter of Laplace Distribution Under a New LINEX-Based Loss Function Itratoal Joural of Data S ad Aalyss 27; 36): 85-89 http://wwwspublshggroupom/j/jdsa do: 648/jjdsa27364 ISS: 2575-883 (Prt); ISS: 2575-89 (Ol) Bays Estmato of Paramtr of Lapla Dstrbuto Udr a w LIEX-Basd

More information

Ideal multigrades with trigonometric coefficients

Ideal multigrades with trigonometric coefficients Ideal multgrades wth trgoometrc coeffcets Zarathustra Brady December 13, 010 1 The problem A (, k) multgrade s defed as a par of dstct sets of tegers such that (a 1,..., a ; b 1,..., b ) a j = =1 for all

More information

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information

Inner Product Spaces INNER PRODUCTS

Inner Product Spaces INNER PRODUCTS MA4Hcdoc Ir Product Spcs INNER PRODCS Dto A r product o vctor spc V s ucto tht ssgs ubr spc V such wy tht th ollowg xos holds: P : w s rl ubr P : P : P 4 : P 5 : v, w = w, v v + w, u = u + w, u rv, w =

More information

Construction of asymmetric orthogonal arrays of strength three via a replacement method

Construction of asymmetric orthogonal arrays of strength three via a replacement method isid/ms/26/2 Fbruary, 26 http://www.isid.ac.in/ statmath/indx.php?modul=prprint Construction of asymmtric orthogonal arrays of strngth thr via a rplacmnt mthod Tian-fang Zhang, Qiaoling Dng and Alok Dy

More information

Iranian Journal of Mathematical Chemistry, Vol. 2, No. 2, December 2011, pp (Received September 10, 2011) ABSTRACT

Iranian Journal of Mathematical Chemistry, Vol. 2, No. 2, December 2011, pp (Received September 10, 2011) ABSTRACT Iraa Joral of Mathatcal Chstry Vol No Dcbr 0 09 7 IJMC Two Tys of Gotrc Arthtc dx of V hylc Naotb S MORADI S BABARAHIM AND M GHORBANI Dartt of Mathatcs Faclty of Scc Arak Ursty Arak 856-8-89 I R Ira Dartt

More information

Law of large numbers

Law of large numbers Law of larg umbrs Saya Mukhrj W rvisit th law of larg umbrs ad study i som dtail two typs of law of larg umbrs ( 0 = lim S ) p ε ε > 0, Wak law of larrg umbrs [ ] S = ω : lim = p, Strog law of larg umbrs

More information

On the irreducibility of some polynomials in two variables

On the irreducibility of some polynomials in two variables ACTA ARITHMETICA LXXXII.3 (1997) On th irrducibility of som polynomials in two variabls by B. Brindza and Á. Pintér (Dbrcn) To th mmory of Paul Erdős Lt f(x) and g(y ) b polynomials with intgral cofficints

More information

A study of stochastic programming having some continuous random variables

A study of stochastic programming having some continuous random variables Itratoal Joural of Egrg Trds ad Tchology (IJETT) Volu 7 Nur 5 - July 06 A study of stochastc prograg havg so cotuous rado varals Mr.Hr S. Dosh, Dr.Chrag J. Trvd, Assocat Profssor, H Collg of Corc Navragura,

More information

Ordinary Least Squares at advanced level

Ordinary Least Squares at advanced level Ordary Last Squars at advacd lvl. Rvw of th two-varat cas wth algbra OLS s th fudamtal tchqu for lar rgrssos. You should by ow b awar of th two-varat cas ad th usual drvatos. I ths txt w ar gog to rvw

More information

Second Handout: The Measurement of Income Inequality: Basic Concepts

Second Handout: The Measurement of Income Inequality: Basic Concepts Scod Hadout: Th Masurmt of Icom Iqualty: Basc Cocpts O th ormatv approach to qualty masurmt ad th cocpt of "qually dstrbutd quvalt lvl of com" Suppos that that thr ar oly two dvduals socty, Rachl ad Mart

More information

Lecture 1: Empirical economic relations

Lecture 1: Empirical economic relations Ecoomcs 53 Lctur : Emprcal coomc rlatos What s coomtrcs? Ecoomtrcs s masurmt of coomc rlatos. W d to kow What s a coomc rlato? How do w masur such a rlato? Dfto: A coomc rlato s a rlato btw coomc varabls.

More information

ASYMPTOTIC AND TOLERANCE 2D-MODELLING IN ELASTODYNAMICS OF CERTAIN THIN-WALLED STRUCTURES

ASYMPTOTIC AND TOLERANCE 2D-MODELLING IN ELASTODYNAMICS OF CERTAIN THIN-WALLED STRUCTURES AYMPTOTIC AD TOLERACE D-MODELLIG I ELATODYAMIC OF CERTAI THI-WALLED TRUCTURE B. MICHALAK Cz. WOŹIAK Dpartmt of tructural Mchacs Lodz Uvrsty of Tchology Al. Poltrchk 6 90-94 Łódź Polad Th objct of aalyss

More information

The real E-k diagram of Si is more complicated (indirect semiconductor). The bottom of E C and top of E V appear for different values of k.

The real E-k diagram of Si is more complicated (indirect semiconductor). The bottom of E C and top of E V appear for different values of k. Modr Smcoductor Dvcs for Itgratd rcuts haptr. lctros ad Hols Smcoductors or a bad ctrd at k=0, th -k rlatoshp ar th mmum s usually parabolc: m = k * m* d / dk d / dk gatv gatv ffctv mass Wdr small d /

More information

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris

More information

Engineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12

Engineering 323 Beautiful HW #13 Page 1 of 6 Brown Problem 5-12 Enginring Bautiful HW #1 Pag 1 of 6 5.1 Two componnts of a minicomputr hav th following joint pdf for thir usful liftims X and Y: = x(1+ x and y othrwis a. What is th probability that th liftim X of th

More information

Handout 11. Energy Bands in Graphene: Tight Binding and the Nearly Free Electron Approach

Handout 11. Energy Bands in Graphene: Tight Binding and the Nearly Free Electron Approach Hdout rg ds Grh: Tght dg d th Nrl Fr ltro roh I ths ltur ou wll lr: rg Th tght bdg thod (otd ) Th -bds grh FZ C 407 Srg 009 Frh R Corll Uvrst Grh d Crbo Notubs: ss Grh s two dsol sgl to lr o rbo tos rrgd

More information

Three-Dimensional Theory of Nonlinear-Elastic. Bodies Stability under Finite Deformations

Three-Dimensional Theory of Nonlinear-Elastic. Bodies Stability under Finite Deformations Appld Mathmatcal Sccs ol. 9 5 o. 43 75-73 HKAR Ltd www.m-hkar.com http://dx.do.org/.988/ams.5.567 Thr-Dmsoal Thory of Nolar-Elastc Bods Stablty udr Ft Dformatos Yu.. Dmtrko Computatoal Mathmatcs ad Mathmatcal

More information

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013 18.782 Introduction to Arithmtic Gomtry Fall 2013 Lctur #20 11/14/2013 20.1 Dgr thorm for morphisms of curvs Lt us rstat th thorm givn at th nd of th last lctur, which w will now prov. Thorm 20.1. Lt φ:

More information

ON THE LOGARITHMIC INTEGRAL

ON THE LOGARITHMIC INTEGRAL Hacettepe Joural of Mathematcs ad Statstcs Volume 39(3) (21), 393 41 ON THE LOGARITHMIC INTEGRAL Bra Fsher ad Bljaa Jolevska-Tueska Receved 29:9 :29 : Accepted 2 :3 :21 Abstract The logarthmc tegral l(x)

More information

Investigation of Partially Conditional RP Model with Response Error. Ed Stanek

Investigation of Partially Conditional RP Model with Response Error. Ed Stanek Partally Codtoal Radom Permutato Model 7- vestgato of Partally Codtoal RP Model wth Respose Error TRODUCTO Ed Staek We explore the predctor that wll result a smple radom sample wth respose error whe a

More information

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 401 Digital Signal Procssing Prof. Mark Fowlr Dtails of th ot St #19 Rading Assignmnt: Sct. 7.1.2, 7.1.3, & 7.2 of Proakis & Manolakis Dfinition of th So Givn signal data points x[n] for n = 0,, -1

More information

Graphs of q-exponentials and q-trigonometric functions

Graphs of q-exponentials and q-trigonometric functions Grahs of -otals ad -trgoomtrc fuctos Amla Carola Saravga To ct ths vrso: Amla Carola Saravga. Grahs of -otals ad -trgoomtrc fuctos. 26. HAL Id: hal-377262 htts://hal.archvs-ouvrts.fr/hal-377262

More information

' 1.00, has the form of a rhomb with

' 1.00, has the form of a rhomb with Problm I Rflcto ad rfracto of lght A A trstg prsm Th ma scto of a glass prsm stuatd ar ' has th form of a rhomb wth A th yllow bam of moochromatc lght propagatg towards th prsm paralll wth th dagoal AC

More information

Some Results on Interval Valued Fuzzy Neutrosophic Soft Sets ISSN

Some Results on Interval Valued Fuzzy Neutrosophic Soft Sets ISSN Som Rsults on ntrval Valud uzzy Nutrosophi Soft Sts SSN 239-9725. rokiarani Dpartmnt of Mathmatis Nirmala ollg for Womn oimbator amilnadu ndia. R. Sumathi Dpartmnt of Mathmatis Nirmala ollg for Womn oimbator

More information

On Approximation Lower Bounds for TSP with Bounded Metrics

On Approximation Lower Bounds for TSP with Bounded Metrics O Approxmato Lowr Bouds for TSP wth Boudd Mtrcs Mark Karpsk Rchard Schmd Abstract W dvlop a w mthod for provg xplct approxmato lowr bouds for TSP problms wth boudd mtrcs mprovg o th bst up to ow kow bouds.

More information

Group Consensus of Second-Order Multi-agent Networks with Multiple Time Delays

Group Consensus of Second-Order Multi-agent Networks with Multiple Time Delays Itratoal Cofrc o Appld Mathmatcs, Smulato ad Modllg (AMSM 6) Group Cossus of Scod-Ordr Mult-agt Ntworks wth Multpl Tm Dlays Laghao J* ad Xyu Zhao Chogqg Ky Laboratory of Computatoal Itllgc, Chogqg Uvrsty

More information

Chapter 10. The singular integral Introducing S(n) and J(n)

Chapter 10. The singular integral Introducing S(n) and J(n) Chaptr Th singular intgral Our aim in this chaptr is to rplac th functions S (n) and J (n) by mor convnint xprssions; ths will b calld th singular sris S(n) and th singular intgral J(n). This will b don

More information

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero. SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain

More information

Perfect Constant-Weight Codes

Perfect Constant-Weight Codes 56 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 50, NO. 9, SEPTEMBER 004 Prfct Costat-Wght Cods Tuv Etzo, Fllo, IEEE, ad Mosh Schartz, Mmbr, IEEE Abstract I hs porg or from 973, Dlsart cocturd that thr

More information

Matched Quick Switching Variable Sampling System with Quick Switching Attribute Sampling System

Matched Quick Switching Variable Sampling System with Quick Switching Attribute Sampling System Natur and Sn 9;7( g v, t al, Samlng Systm Mathd Quk Swthng Varabl Samlng Systm wth Quk Swthng Attrbut Samlng Systm Srramahandran G.V, Palanvl.M Dartmnt of Mathmats, Dr.Mahalngam Collg of Engnrng and Thnology,

More information