THERMAL STATES IN THE k-generalized HYPERGEOMETRIC COHERENT STATES REPRESENTATION

Size: px
Start display at page:

Download "THERMAL STATES IN THE k-generalized HYPERGEOMETRIC COHERENT STATES REPRESENTATION"

Transcription

1 THE PULISHING HOUSE PROCEEDINGS O THE ROMNIN CDEMY Sris O THE ROMNIN CDEMY Volum 9 Numbr 3/ THERML STTES IN THE -GENERLIED HYPERGEOMETRIC COHERENT STTES REPRESENTTION Duša POPOV Uivrsity Polithica Timisoara Dartmt of Physical oudatios of Egirig -dul Vasil Pârva No 33 Timisoara Romaia dusa_oov@yahoocou dusaoov@utro bstract I our rvious ar (Proc Romaia cad ) w hav built ad xamid som rortis of th -cohrt stats xrssd through th -hyrgomtric fuctios s a cotiuatio of that ar whr w hav focussd oly o th ur stats i th rst ar w dal with mixd (thrmal) stats for th systms with liar as wll as uadratic rgy sctra Ky words: cohrt stats -hyrgomtric fuctio thrmal stat dsity orator INTRODUCTION Th classical gralid hyrgomtric (GHG) fuctios hav a sris of alicatios i diffrt brachs of hysics [] mog thm thy ar usd for dfiig th most gral class of cohrt stats (CSs) gralid hyrgomtric cohrt stats (GHG-CSs) itroducd i [] ad alid to thrmal stats of th sudoharmoic oscillator i [3] Ev if th classical GHG fuctios turd out to b vry usful i trms of alicatios i th last dcads wr dfid th so calld gralid hyrgomtric (-GHG) fuctios { } { } ai b x as a formal owr sris [4 5] { } {( a ) } ( b ) i x ( a ) i ( b ) x! x ( ) () whr x C R ad N Particularly for th -GHG lad to th usual GHG fuctios I a rvious ar [6] w hav built ad xamid som rortis of th -GHG-CSs by usig th diagoal ordrig oratio tchiu (DOOT) W hav limitd oly to th -CSs of th arut-girardllo id (-GHG-G-CSs) although this rocdur ca b usd also i th cas of Klaudr-Prlomov or Gaau-Klaudr CSs I ordr to avoid rharsals w aal ad us hr th otatios ad formula of ar [6] W cosidr two Hrmitic cougat orators that act o th oc vctors > as ( ) ( ) > > > > () Thy ar coctd with th dimsiolss Hamilto orator H as follows: ( ) H > > > (3) ( ) Th dimsiolss rgy igvalus ( ) m m ad th structur costats ar

2 43 Duša POPOV ( ) m m ( b ( m ) ) ( a ( m ) ) ( ) ( ) m ( b ) ( a )! i which as w will s blow aar i th xrssio of -GHG-CSs Th followig uality holds > ( ) ( ) > Th vacuum stat roctor ca b obtaid through th stadard rocdur usig th DOOT ruls [6]: >< { } { } ai b Th -gralid hyrgomtric arut-girardllo cohrt stats (-GHG-G-CSs) > ar dfid as usual i as th igstats of th lowrig orator [7]: > > whr th comlx umbr x(iϕ) with ad ϕ π labls th -GHG-G-CSs Thir xasio ito th oc vctor basis > is > { } {( a ) } ( b ) i ( ) > I [6] w hav showd that th -GHG-G-CSs satisfy all Klaudr s ruirmts imosd to ay CS: a) cotiuity i comlx labl b) ormaliatio c) o orthogoality d) uity orator rsolutio with uiu ositiv wight fuctio of th itgratio masur ) tmoral stability ad f ) actio idtity [8] Grally th itgratio masur is xrssd usig th Mir s G-fuctio: (4) (5) (6) (7) ai Γ dϕ d µ d ( ) ( ) b π Γ ai / { ( ai) } {( b) } G i b / (8) whr MIXED STTES Lt us w xami th thrmal stats dscribd by th dsity orator ω H ( ) >< ω is a dimsiolss thrmal aramtr ad is th artitio fuctio: ()

3 3 Thrmal stats i th -gralid hyrgomtric cohrt stats rrstatio 433 Tr < > ( ) () y usig th DOOT E (5) ad thir cougat coutrart th dsity orator bcoms: ( ) ( ) (3) Th Husimi s -distributio fuctio dfid i th -GHG-G-CSs rrstatio is [9] ( ) ( ) ( ) < > ( ) { } { } a b i d µ Th dsity orator ca b xadd as a surositio of CSs roctors (s g [9]): ad it is ormalid to uity: ( ) (4) d µ P > < (5) To dtrmi th xrssio of th uasi-distributio fuctio ( ) P w follow th sam rocdur as thr for dtrmiig th itgratio masur with th fuctio chag ad th rsolutio of suitabl Stilts momt roblm (s [6]) This fuctio is also ormalid to uity: d() P ( ) Th xctatio valu of a hysical obsrvabl i a mixd (thrmal) stat is calculatd as < > Tr( ) d µ P < > (6) whr th otatio sigifis th diagoal ordrig (DOOT) of roduct orators ( ) [3] I aalogy with th Madl aramtr calculatd i th GHG-G-CSs w hav dfid th Madl aramtr for th thrmal stats calld th thrmal coutrart of th Madl aramtr (T ) []: ( ) ( T ) (7) Th sig (ositiv ro or gativ) of (T ) as fuctio of uilibrium tmratur T show whos id of statistics (sur-poissoia Poissoia or sub-poissoia) oby th thrmal stats s 3 SOME SIMPLE PRTICULR CSES W will illustrat th abov idas i two cass of dimsiolss rgy igvalus: a) th liar ( ) sctra ( ) ( ) ( ) ad b) th uadratic sctra with rsct to th ( ) rgy uatum umbr Hr is a ositiv costat ad is th dimsiolss ro rgy trm W will articulari without customiig it agai th mai rsults obtaid abov

4 434 Duša POPOV 4 a) Th liar sctra is charactristic for som uatum oscillators g th o-dimsioal uatum oscillator (HO-D) for which / [9] or th sudoharmoic oscillator (PHO) for which ( ) / α / mω r / 4 [] Th dimsiolss rgy igvalus m ar ( m ) ( m ) ( ) ( ) () m m m m (3) Cosutly ad so that th structur costats bcom ( ) ( ) m ( m) ( )! ( ) ad th GHG fuctio i this cas is th Kummr coflut -hyrgomtric fuctio: ( ) () ( ) ()! y articulariig ad w asily gt th vacuum roctor >< ( ) Th th GHG-G-CSs for th cas of liar sctra bcoms > ( ) ( ) (3) (33) (34) > () (35) whr a ad b whil th itgratio masur that assur th uity orator dcomositio is () d ϕ ( ) π d µ d Γ or th articular cas of HO-D ad (i if w glct th isigificat trm of ro dϕ d d d π π Th dsity orator for th cas of liar sctra is iddt o th costat () rgy) w rcovr th itgratio masur µ HO ( ) ω H >< whr ω is a dimsiolss thrmal aramtr ad ( ) is th os-eisti distributio fuctio or th avrag of th hoto umbr i th thrmal stat Cosutly by ormaliig th dsity orator to uity w obtai th artitio fuctio: ( ) (36) (37)

5 5 Thrmal stats i th -gralid hyrgomtric cohrt stats rrstatio 435 With th hl of th DOOT ruls ad th vacuum roctor th dsity orator bcoms: ( ) ( ) Th Husimi s - fuctio is obtaid by rlacig th orator roduct with th (38) [6] (39) d µ ad this ca b dmostratd by usig a itgral of id 764 (s [ 8]) P from th sctral dcomositio of th dsity orator () This fuctio is ormalid to uity i ( ) Th uasi-distributio fuctio () d µ ( P ) > < (3) is dtrmid by solvig a suitabl Stilts momt roblm ad th fial (ormaliabl to uity) rsult is P ( ) Th thrmal xctatio valu of itgr owrs s of umbr articl orator is (3) s s d X dx X (3) with X x( ) With th abov formula w obtai ad so that th thrmal coutrart of th Madl aramtr is ( ) s a fuctio of uilibrium absolut tmratur T ω / th thrmal Madl aramtr is a ositiv fuctio for all fiit tmraturs So th corrsodig thrmal stats oby sur Poissoia statistics ( ) b) Th uadratic sctra whos dimsiolss rgy igvalus ar is charactristic for som aharmoic oscillators g th Mors oscillator (MO) [] Hr th costat is strictly ositiv ad N Without affctig th grality of th roblm w ca cosidr so th ( ) () rgy igvalus ar Cosutly th structur costats bcoms s ( ) ( ) m ad th idxs of ormaliatio fuctio ar ad Th GHG fuctio associatd with this cas is m () ( m) ( )! max max ()! This fuctio ca b xrssd also i a uivalt mar ( ) (33) (34)

6 436 Duša POPOV 6 Γ J (35) whr w usd th xrssio of th hyrgomtric fuctio through ssl fuctio (i fact th ssl olyomial of th dgr th itgr art of [ ] max ) ( ) of th first id x J ν [3] Th vacuum roctor is Γ >< J (36) Th GHG- G-CSs for th cas of uadratic sctra is > > max () ) ( (37) whr b whil th HG-G-CSs roctor by rsctig th DOOT ruls is < > (38) Th itgratio masur that assurs th uity orator dcomositio is () d d d J K ϕ µ π (39) Usig th followig itgral of [] it ca b rovd that this itgratio masur assur th rsolutio of th uity orator I ordr to writ th ormalid caoical dsity orator w will rorgai th rgy xotial accordig to our rvious itroducd asat []: () x! (3) whr i th frot art aars th xotial orator actig o th variabl Th th dsity orator for th cas of uadratic sctra is max x >< (3) whr [ ] max ) ( (th itgr art) rrsts th umbr of boud stats of th xamid Mors systm (g th diatomic molcul) Th artitio fuctio is calculatd as

7 7 Thrmal stats i th -gralid hyrgomtric cohrt stats rrstatio 437 max () ( max ) x (3) With th DOOT ruls as wll as th xrssio of th vacuum roctor w ca writ th dsity orator i th followig mar: x (33) W obsrv that hr th GHG fuctio ( ) rlacig th roduct rducs to a olyomial of dgr max y with w obtai th Husimi s -distributio fuctio ( ) x (34) Th dsity orator ca b rrstd by th followig sctral dcomositio () d µ ( P ) ( ) > < (35) ad w will choos th uasi-distributio fuctio ( ) P P of th form ( ) x P ( ) (36) ftr a fuctio chag ad th rsolutio of a suitabl Stilts momt roblm th fial xrssio (ormaliabl to uity) bcoms P (37) K K x y itgratig this xrssio o th variabl lad to th dfiitio of th artitio fuctio which mas that ( ) ad usig th itgral of [] w P is ormalid to uity Th thrmal xctatios of th itgr owrs of umbr articl orator is as wll as th corrsodig thrmal Madl aramtr max () s s (38) max () max () ( ) N max () max () < > (39)

8 438 Duša POPOV 8 Th charactr of distributio that govrs ths thrmal stats must b xamid umrically 4 CONCLUDING REMRKS I this ar w hav xamid th statistical (thrmal) rortis of th gralid hyrgomtric arut-girardllo cohrt stats ( GHG-G-CSs) by usig th ruls of th diagoal ordrig oratio tchiu (DOOT) [3] W dalt with two ids of systms: liar (harmoic sudoharmoic oscillators) ad uadratic (Mors oscillator) rgy sctrum for which w calculatd both distributio fuctios: ( ) ad P ( ) Statistical charactristics of th GHG-G-CSs for thrmal stats wr xamid by calculatig th thrmal Madl aramtr Thir valus (gativ ro or ositiv) show what id of statistics is associatd to xamid stats (sub Poissoia Poissoia or sur Poissoia) as fuctio of th uilibrium tmratur T t th limit all formula ad xrssios for th GHG-G-CSs td to th corrsodig formula ad xrssios for th usual (classical) gralid hyrgomtric cohrt stats or th harmoic limit ad w rcovr formula ad xrssios for th caoical CSs of th o-dimsioal harmoic oscillator y cocludig th rst ar is a st forward rgardig th alicatios of th GHG fuctios cocrtly i dfiig th GHG-G-CSs ad xamiig thir thrmal rortis Through articulariatio of th idics ad aramtrs of GHG-G-CSs it ca b obtaid th all ow CSs with hysical sigificac I this cotxt th ar richs th litratur rfrrig to th CSs REERENCES M MTHI R K SXEN Gralid Hyrgomtric uctios with licatios i Statistics ad Physical Scics Lctur Nots i Mathmatics 348 Srigr-Vrlag rli 973 T PPL D H SCHILLER Gralid hyrgomtric cohrt stats J Phys : Math G D POPOV M POPOV Som oratorial rortis of th gralid hyrgomtric cohrt stats Phys Scr R DÍ E PRIGUN O hyrgomtric fuctios ad Pochhammr -symbol Divulgacios Matmáticas S MUEEN G M HIULLH Itgral Rrstatio of Som -Hyrgomtric uctios It Math orum D POPOV O som rortis of th -cohrt stats Proc Romaia cad O RUT L GIRRDELLO Nw cohrt stats associatd with o-comact grous Comm Math Phys J R KLUDER Cotiuous rrstatio thory I Postulats of cotiuous rrstatio thory J Math Phys D WLLS G J MILURN uatum Otics Srigr-Vrlag rli 995 D POPOV Photo-addd arut-girrdllo cohrt stats of th sudoharmoic oscillator J Phys : Math G I S GRDSHTEYN I M RYHIK Tabl of Itgrals Sris ad Products Svth Editio cadmic Prss mstrdam 7 D POPOV S H DONG N POP V SJERT S SIMON Costructio of th arut-girardllo uasi cohrt stats for th Mors ottial Phys htt://fuctioswolframcom/ssl-tyuctios/sslj/6/// 4 D POPOV Gaau-Klaudr uasi-cohrt stats for th Mors oscillator Phys Ltt Rcivd Dcmbr 7

Hadamard Exponential Hankel Matrix, Its Eigenvalues and Some Norms

Hadamard Exponential Hankel Matrix, Its Eigenvalues and Some Norms Math Sci Ltt Vol No 8-87 (0) adamard Exotial al Matrix, Its Eigvalus ad Som Norms İ ad M bula Mathmatical Scics Lttrs Itratioal Joural @ 0 NSP Natural Scics Publishig Cor Dartmt of Mathmatics, aculty of

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

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

On the approximation of the constant of Napier

On the approximation of the constant of Napier Stud. Uiv. Babş-Bolyai Math. 560, No., 609 64 O th approximatio of th costat of Napir Adri Vrscu Abstract. Startig from som oldr idas of [] ad [6], w show w facts cocrig th approximatio of th costat of

More information

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist

More information

(Reference: sections in Silberberg 5 th ed.)

(Reference: sections in Silberberg 5 th ed.) ALE. Atomic Structur Nam HEM K. Marr Tam No. Sctio What is a atom? What is th structur of a atom? Th Modl th structur of a atom (Rfrc: sctios.4 -. i Silbrbrg 5 th d.) Th subatomic articls that chmists

More information

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1 Chatr Fiv Mor Dimsios 51 Th Sac R W ar ow rard to mov o to sacs of dimsio gratr tha thr Ths sacs ar a straightforward gralizatio of our Euclida sac of thr dimsios Lt b a ositiv itgr Th -dimsioal Euclida

More information

NET/JRF, GATE, IIT JAM, JEST, TIFR

NET/JRF, GATE, IIT JAM, JEST, TIFR Istitut for NET/JRF, GATE, IIT JAM, JEST, TIFR ad GRE i PHYSICAL SCIENCES Mathmatical Physics JEST-6 Q. Giv th coditio φ, th solutio of th quatio ψ φ φ is giv by k. kφ kφ lφ kφ lφ (a) ψ (b) ψ kφ (c) ψ

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

LECTURE 13 Filling the bands. Occupancy of Available Energy Levels

LECTURE 13 Filling the bands. Occupancy of Available Energy Levels LUR 3 illig th bads Occupacy o Availabl rgy Lvls W hav dtrmid ad a dsity o stats. W also d a way o dtrmiig i a stat is illd or ot at a giv tmpratur. h distributio o th rgis o a larg umbr o particls ad

More information

PURE MATHEMATICS A-LEVEL PAPER 1

PURE MATHEMATICS A-LEVEL PAPER 1 -AL P MATH PAPER HONG KONG EXAMINATIONS AUTHORITY HONG KONG ADVANCED LEVEL EXAMINATION PURE MATHEMATICS A-LEVEL PAPER 8 am am ( hours) This papr must b aswrd i Eglish This papr cosists of Sctio A ad Sctio

More information

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1 DTFT Proprtis Exampl - Dtrmi th DTFT Y of y α µ, α < Lt x α µ, α < W ca thrfor writ y x x From Tabl 3., th DTFT of x is giv by ω X ω α ω Copyright, S. K. Mitra Copyright, S. K. Mitra DTFT Proprtis DTFT

More information

Lectures 9 IIR Systems: First Order System

Lectures 9 IIR Systems: First Order System EE3054 Sigals ad Systms Lcturs 9 IIR Systms: First Ordr Systm Yao Wag Polytchic Uivrsity Som slids icludd ar xtractd from lctur prstatios prpard by McCllla ad Schafr Lics Ifo for SPFirst Slids This work

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

Chapter 11.00C Physical Problem for Fast Fourier Transform Civil Engineering

Chapter 11.00C Physical Problem for Fast Fourier Transform Civil Engineering haptr. Physical Problm for Fast Fourir Trasform ivil Egirig Itroductio I this chaptr, applicatios of FFT algorithms [-5] for solvig ral-lif problms such as computig th dyamical (displacmt rspos [6-7] of

More information

1985 AP Calculus BC: Section I

1985 AP Calculus BC: Section I 985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b

More information

Probability & Statistics,

Probability & Statistics, Probability & Statistics, BITS Pilai K K Birla Goa Campus Dr. Jajati Kshari Sahoo Dpartmt of Mathmatics BITS Pilai, K K Birla Goa Campus Poisso Distributio Poisso Distributio: A radom variabl X is said

More information

Partition Functions and Ideal Gases

Partition Functions and Ideal Gases Partitio Fuctios ad Idal Gass PFIG- You v lard about partitio fuctios ad som uss ow w ll xplor tm i mor dpt usig idal moatomic diatomic ad polyatomic gass! for w start rmmbr: Q( N ( N! N Wat ar N ad? W

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

NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES

NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES Digst Joural of Naomatrials ad Biostructurs Vol 4, No, March 009, p 67-76 NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES A IRANMANESH a*, O KHORMALI b, I NAJAFI KHALILSARAEE c, B SOLEIMANI

More information

Narayana IIT Academy

Narayana IIT Academy INDIA Sc: LT-IIT-SPARK Dat: 9--8 6_P Max.Mars: 86 KEY SHEET PHYSIS A 5 D 6 7 A,B 8 B,D 9 A,B A,,D A,B, A,B B, A,B 5 A 6 D 7 8 A HEMISTRY 9 A B D B B 5 A,B,,D 6 A,,D 7 B,,D 8 A,B,,D 9 A,B, A,B, A,B,,D A,B,

More information

Discrete Fourier Transform (DFT)

Discrete Fourier Transform (DFT) Discrt Fourir Trasorm DFT Major: All Egirig Majors Authors: Duc guy http://umricalmthods.g.us.du umrical Mthods or STEM udrgraduats 8/3/29 http://umricalmthods.g.us.du Discrt Fourir Trasorm Rcalld th xpotial

More information

APPENDIX: STATISTICAL TOOLS

APPENDIX: STATISTICAL TOOLS I. Nots o radom samplig Why do you d to sampl radomly? APPENDI: STATISTICAL TOOLS I ordr to masur som valu o a populatio of orgaisms, you usually caot masur all orgaisms, so you sampl a subst of th populatio.

More information

Session : Plasmas in Equilibrium

Session : Plasmas in Equilibrium Sssio : Plasmas i Equilibrium Ioizatio ad Coductio i a High-prssur Plasma A ormal gas at T < 3000 K is a good lctrical isulator, bcaus thr ar almost o fr lctros i it. For prssurs > 0.1 atm, collisio amog

More information

Equation Sheet Please tear off this page and keep it with you

Equation Sheet Please tear off this page and keep it with you ECE 30L, Exam Fall 05 Equatio Sht Plas tar off this ag ad k it with you Gral Smicoductor: 0 i ( EF EFi ) kt 0 i ( EFi EF ) kt Eg i N C NV kt 0 0 V IR L, D, τ, d d τ c g L D kt I J diff D D µ * m σ (µ +

More information

An Introduction to Asymptotic Expansions

An Introduction to Asymptotic Expansions A Itroductio to Asmptotic Expasios R. Shaar Subramaia Asmptotic xpasios ar usd i aalsis to dscrib th bhavior of a fuctio i a limitig situatio. Wh a fuctio ( x, dpds o a small paramtr, ad th solutio of

More information

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net Taylor s Thorm & Lagrag Error Bouds Actual Error This is th ral amout o rror, ot th rror boud (worst cas scario). It is th dirc btw th actual () ad th polyomial. Stps:. Plug -valu ito () to gt a valu.

More information

Chapter Taylor Theorem Revisited

Chapter Taylor Theorem Revisited Captr 0.07 Taylor Torm Rvisitd Atr radig tis captr, you sould b abl to. udrstad t basics o Taylor s torm,. writ trascdtal ad trigoomtric uctios as Taylor s polyomial,. us Taylor s torm to id t valus o

More information

15/03/1439. Lectures on Signals & systems Engineering

15/03/1439. Lectures on Signals & systems Engineering Lcturs o Sigals & syms Egirig Dsigd ad Prd by Dr. Ayma Elshawy Elsfy Dpt. of Syms & Computr Eg. Al-Azhar Uivrsity Email : aymalshawy@yahoo.com A sigal ca b rprd as a liar combiatio of basic sigals. Th

More information

Technical Support Document Bias of the Minimum Statistic

Technical Support Document Bias of the Minimum Statistic Tchical Support Documt Bias o th Miimum Stattic Itroductio Th papr pla how to driv th bias o th miimum stattic i a radom sampl o siz rom dtributios with a shit paramtr (also kow as thrshold paramtr. Ths

More information

Solid State Device Fundamentals

Solid State Device Fundamentals 8 Biasd - Juctio Solid Stat Dvic Fudamtals 8. Biasd - Juctio ENS 345 Lctur Cours by Aladr M. Zaitsv aladr.zaitsv@csi.cuy.du Tl: 718 98 81 4N101b Dartmt of Egirig Scic ad Physics Biasig uiolar smicoductor

More information

Restricted Factorial And A Remark On The Reduced Residue Classes

Restricted Factorial And A Remark On The Reduced Residue Classes Applid Mathmatics E-Nots, 162016, 244-250 c ISSN 1607-2510 Availabl fr at mirror sits of http://www.math.thu.du.tw/ am/ Rstrictd Factorial Ad A Rmark O Th Rducd Rsidu Classs Mhdi Hassai Rcivd 26 March

More information

A Solution of Kepler s Equation

A Solution of Kepler s Equation Itratioal Joural of Astroomy ad Astrohysics, 4, 4, 68-698 Publishd Oli Dcmbr 4 i SciRs. htt://www.scir.org/joural/ijaa htt://dx.doi.org/.46/ijaa.4.446 A Solutio of Klr s Equatio Joh N. Tokis Tchological

More information

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

Ideal crystal : Regulary ordered point masses connected via harmonic springs

Ideal crystal : Regulary ordered point masses connected via harmonic springs Statistical thrmodyamics of crystals Mooatomic crystal Idal crystal : Rgulary ordrd poit masss coctd via harmoic sprigs Itratomic itractios Rprstd by th lattic forc-costat quivalt atom positios miima o

More information

Linear Algebra Existence of the determinant. Expansion according to a row.

Linear Algebra Existence of the determinant. Expansion according to a row. Lir Algbr 2270 1 Existc of th dtrmit. Expsio ccordig to row. W dfi th dtrmit for 1 1 mtrics s dt([]) = (1) It is sy chck tht it stisfis D1)-D3). For y othr w dfi th dtrmit s follows. Assumig th dtrmit

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

SCHUR S THEOREM REU SUMMER 2005

SCHUR S THEOREM REU SUMMER 2005 SCHUR S THEOREM REU SUMMER 2005 1. Combinatorial aroach Prhas th first rsult in th subjct blongs to I. Schur and dats back to 1916. On of his motivation was to study th local vrsion of th famous quation

More information

Chapter 4 - The Fourier Series

Chapter 4 - The Fourier Series M. J. Robrts - 8/8/4 Chaptr 4 - Th Fourir Sris Slctd Solutios (I this solutio maual, th symbol,, is usd for priodic covolutio bcaus th prfrrd symbol which appars i th txt is ot i th fot slctio of th word

More information

Statistics 3858 : Likelihood Ratio for Exponential Distribution

Statistics 3858 : Likelihood Ratio for Exponential Distribution Statistics 3858 : Liklihood Ratio for Expotial Distributio I ths two xampl th rjctio rjctio rgio is of th form {x : 2 log (Λ(x)) > c} for a appropriat costat c. For a siz α tst, usig Thorm 9.5A w obtai

More information

Discrete Fourier Transform. Nuno Vasconcelos UCSD

Discrete Fourier Transform. Nuno Vasconcelos UCSD Discrt Fourir Trasform uo Vascoclos UCSD Liar Shift Ivariat (LSI) systms o of th most importat cocpts i liar systms thory is that of a LSI systm Dfiitio: a systm T that maps [ ito y[ is LSI if ad oly if

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

DFT: Discrete Fourier Transform

DFT: Discrete Fourier Transform : Discrt Fourir Trasform Cogruc (Itgr modulo m) I this sctio, all lttrs stad for itgrs. gcd m, = th gratst commo divisor of ad m Lt d = gcd(,m) All th liar combiatios r s m of ad m ar multils of d. a b

More information

A Simple Proof that e is Irrational

A Simple Proof that e is Irrational Two of th most bautiful ad sigificat umbrs i mathmatics ar π ad. π (approximatly qual to 3.459) rprsts th ratio of th circumfrc of a circl to its diamtr. (approximatly qual to.788) is th bas of th atural

More information

International Journal of Advanced and Applied Sciences

International Journal of Advanced and Applied Sciences Itratioal Joural of Advacd ad Applid Scics x(x) xxxx Pags: xx xx Cotts lists availabl at Scic Gat Itratioal Joural of Advacd ad Applid Scics Joural hompag: http://wwwscic gatcom/ijaashtml Symmtric Fuctios

More information

Application of spectral elements method to calculation of stress-strain state of anisotropic laminated shells

Application of spectral elements method to calculation of stress-strain state of anisotropic laminated shells IOP Cofrc Sris: Matrials Scic ad Egirig PAPER OPE ACCESS Alicatio of sctral lmts mthod to calculatio of strss-strai stat of aisotroic lamiatd shlls To cit this articl: K A Ptrovsiy t al 16 IOP Cof. Sr.:

More information

SOME IDENTITIES FOR THE GENERALIZED POLY-GENOCCHI POLYNOMIALS WITH THE PARAMETERS A, B AND C

SOME IDENTITIES FOR THE GENERALIZED POLY-GENOCCHI POLYNOMIALS WITH THE PARAMETERS A, B AND C Joural of Mathatical Aalysis ISSN: 2217-3412, URL: www.ilirias.co/ja Volu 8 Issu 1 2017, Pags 156-163 SOME IDENTITIES FOR THE GENERALIZED POLY-GENOCCHI POLYNOMIALS WITH THE PARAMETERS A, B AND C BURAK

More information

Journal of Modern Applied Statistical Methods

Journal of Modern Applied Statistical Methods Joural of Modr Applid Statistical Mthods Volum Issu Articl 6 --03 O Som Proprtis of a Htrogous Trasfr Fuctio Ivolvig Symmtric Saturatd Liar (SATLINS) with Hyprbolic Tagt (TANH) Trasfr Fuctios Christophr

More information

Figure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor

Figure 2-18 Thevenin Equivalent Circuit of a Noisy Resistor .8 NOISE.8. Th Nyquist Nois Thorm W ow wat to tur our atttio to ois. W will start with th basic dfiitio of ois as usd i radar thory ad th discuss ois figur. Th typ of ois of itrst i radar thory is trmd

More information

A Propagating Wave Packet Group Velocity Dispersion

A Propagating Wave Packet Group Velocity Dispersion Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to

More information

Digital Signal Processing, Fall 2006

Digital Signal Processing, Fall 2006 Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti

More information

Einstein Equations for Tetrad Fields

Einstein Equations for Tetrad Fields Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for

More information

Folding of Hyperbolic Manifolds

Folding of Hyperbolic Manifolds It. J. Cotmp. Math. Scics, Vol. 7, 0, o. 6, 79-799 Foldig of Hyprbolic Maifolds H. I. Attiya Basic Scic Dpartmt, Collg of Idustrial Educatio BANE - SUEF Uivrsity, Egypt hala_attiya005@yahoo.com Abstract

More information

How many neutrino species?

How many neutrino species? ow may utrio scis? Two mthods for dtrmii it lium abudac i uivrs At a collidr umbr of utrio scis Exasio of th uivrs is ovrd by th Fridma quatio R R 8G tot Kc R Whr: :ubblcostat G :Gravitatioal costat 6.

More information

DIGITAL SIGNAL PROCESSING BEG 433 EC

DIGITAL SIGNAL PROCESSING BEG 433 EC Dowloadd from www.ayaram.com. DIGITAL SIGAL PROCESSIG BEG EC.Yar: IV Smstr: II Tachig Schdul Examiatio Schm Hours/W Thory Tutorial Practical Itral Assssmt Fial - / Thory Practical* Thory Practical** 5

More information

10. Joint Moments and Joint Characteristic Functions

10. Joint Moments and Joint Characteristic Functions 0 Joit Momts ad Joit Charactristic Fctios Followig sctio 6 i this sctio w shall itrodc varios paramtrs to compactly rprst th iformatio cotaid i th joit pdf of two rvs Giv two rvs ad ad a fctio g x y dfi

More information

MINIMIZING LOSS PROBABILITY IN QUEUING SYSTEMS WITH HETEROGENEOUS SERVERS *

MINIMIZING LOSS PROBABILITY IN QUEUING SYSTEMS WITH HETEROGENEOUS SERVERS * Iraia Joural o cic & Tchology, Trasactio A, Vol 3, No A Pritd i Th Islamic Rublic o Ira, 7 hiraz Uivrsity MINIMIZING LO PROBABILITY IN QUEUING YTEM WITH HETEROGENEOU ERVER * V AGLAM ** AND A HAHBAZOV Dartmt

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

Option 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges.

Option 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges. Optio Chaptr Ercis. Covrgs to Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Divrgs 8 Divrgs Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Covrgs to Covrgs to 8 Proof Covrgs to π l 8 l a b Divrgt π Divrgt

More information

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA

NEW APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA NE APPLICATIONS OF THE ABEL-LIOUVILLE FORMULA Mirca I CÎRNU Ph Dp o Mathmatics III Faculty o Applid Scincs Univrsity Polithnica o Bucharst Cirnumirca @yahoocom Abstract In a rcnt papr [] 5 th indinit intgrals

More information

The Interplay between l-max, l-min, p-max and p-min Stable Distributions

The Interplay between l-max, l-min, p-max and p-min Stable Distributions DOI: 0.545/mjis.05.4006 Th Itrplay btw lma lmi pma ad pmi Stabl Distributios S Ravi ad TS Mavitha Dpartmt of Studis i Statistics Uivrsity of Mysor Maasagagotri Mysuru 570006 Idia. Email:ravi@statistics.uimysor.ac.i

More information

Iterative Methods of Order Four for Solving Nonlinear Equations

Iterative Methods of Order Four for Solving Nonlinear Equations Itrativ Mods of Ordr Four for Solvig Noliar Equatios V.B. Kumar,Vatti, Shouri Domii ad Mouia,V Dpartmt of Egirig Mamatis, Formr Studt of Chmial Egirig Adhra Uivrsity Collg of Egirig A, Adhra Uivrsity Visakhapatam

More information

That is, we start with a general matrix: And end with a simpler matrix:

That is, we start with a general matrix: And end with a simpler matrix: DIAGON ALIZATION OF THE STR ESS TEN SOR INTRO DUCTIO N By th us of Cauchy s thorm w ar abl to rduc th numbr of strss componnts in th strss tnsor to only nin valus. An additional simplification of th strss

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

How many neutrons does this aluminium atom contain? A 13 B 14 C 27 D 40

How many neutrons does this aluminium atom contain? A 13 B 14 C 27 D 40 alumiium atom has a uclo umbr of 7 ad a roto umbr of 3. How may utros dos this alumiium atom cotai? 3 4 7 40 atom of lmt Q cotais 9 lctros, 9 rotos ad 0 utros. What is Q? calcium otassium strotium yttrium

More information

Blackbody Radiation. All bodies at a temperature T emit and absorb thermal electromagnetic radiation. How is blackbody radiation absorbed and emitted?

Blackbody Radiation. All bodies at a temperature T emit and absorb thermal electromagnetic radiation. How is blackbody radiation absorbed and emitted? All bodis at a tmpratur T mit ad absorb thrmal lctromagtic radiatio Blackbody radiatio I thrmal quilibrium, th powr mittd quals th powr absorbd How is blackbody radiatio absorbd ad mittd? 1 2 A blackbody

More information

H2 Mathematics Arithmetic & Geometric Series ( )

H2 Mathematics Arithmetic & Geometric Series ( ) H Mathmatics Arithmtic & Gomtric Sris (08 09) Basic Mastry Qustios Arithmtic Progrssio ad Sris. Th rth trm of a squc is 4r 7. (i) Stat th first four trms ad th 0th trm. (ii) Show that th squc is a arithmtic

More information

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation.

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation. Lur 7 Fourir Transforms and th Wav Euation Ovrviw and Motivation: W first discuss a fw faturs of th Fourir transform (FT), and thn w solv th initial-valu problm for th wav uation using th Fourir transform

More information

Problem Value Score Earned No/Wrong Rec -3 Total

Problem Value Score Earned No/Wrong Rec -3 Total GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING ECE6 Fall Quiz # Writt Eam Novmr, NAME: Solutio Kys GT Usram: LAST FIRST.g., gtiit Rcitatio Sctio: Circl t dat & tim w your Rcitatio

More information

Introduction to Quantum Information Processing. Overview. A classical randomised algorithm. q 3,3 00 0,0. p 0,0. Lecture 10.

Introduction to Quantum Information Processing. Overview. A classical randomised algorithm. q 3,3 00 0,0. p 0,0. Lecture 10. Itroductio to Quatum Iformatio Procssig Lctur Michl Mosca Ovrviw! Classical Radomizd vs. Quatum Computig! Dutsch-Jozsa ad Brsti- Vazirai algorithms! Th quatum Fourir trasform ad phas stimatio A classical

More information

MONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx

MONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx MONTGOMERY COLLEGE Dpartmt of Mathmatics Rockvill Campus MATH 8 - REVIEW PROBLEMS. Stat whthr ach of th followig ca b itgratd by partial fractios (PF), itgratio by parts (PI), u-substitutio (U), or o of

More information

KISS: A Bit Too Simple. Greg Rose

KISS: A Bit Too Simple. Greg Rose KI: A Bit Too impl Grg Ros ggr@qualcomm.com Outli KI radom umbr grator ubgrators Efficit attack N KI ad attack oclusio PAGE 2 O approach to PRNG scurity "A radom umbr grator is lik sx: Wh it's good, its

More information

UNIT 2: MATHEMATICAL ENVIRONMENT

UNIT 2: MATHEMATICAL ENVIRONMENT UNIT : MATHEMATICAL ENVIRONMENT. Itroductio This uit itroducs som basic mathmatical cocpts ad rlats thm to th otatio usd i th cours. Wh ou hav workd through this uit ou should: apprciat that a mathmatical

More information

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari

Heisenberg Model. Sayed Mohammad Mahdi Sadrnezhaad. Supervisor: Prof. Abdollah Langari snbrg Modl Sad Mohammad Mahd Sadrnhaad Survsor: Prof. bdollah Langar bstract: n ths rsarch w tr to calculat analtcall gnvalus and gnvctors of fnt chan wth ½-sn artcls snbrg modl. W drov gnfuctons for closd

More information

INCOMPLETE KLOOSTERMAN SUMS AND MULTIPLICATIVE INVERSES IN SHORT INTERVALS. xy 1 (mod p), (x, y) I (j)

INCOMPLETE KLOOSTERMAN SUMS AND MULTIPLICATIVE INVERSES IN SHORT INTERVALS. xy 1 (mod p), (x, y) I (j) INCOMPLETE KLOOSTERMAN SUMS AND MULTIPLICATIVE INVERSES IN SHORT INTERVALS T D BROWNING AND A HAYNES Abstract W invstigat th solubility of th congrunc xy (mod ), whr is a rim and x, y ar rstrictd to li

More information

Brief Introduction to Statistical Mechanics

Brief Introduction to Statistical Mechanics Brif Introduction to Statistical Mchanics. Purpos: Ths nots ar intndd to provid a vry quick introduction to Statistical Mchanics. Th fild is of cours far mor vast than could b containd in ths fw pags.

More information

An Introduction to Asymptotic Expansions

An Introduction to Asymptotic Expansions A Itroductio to Asmptotic Expasios R. Shaar Subramaia Dpartmt o Chmical ad Biomolcular Egirig Clarso Uivrsit Asmptotic xpasios ar usd i aalsis to dscrib th bhavior o a uctio i a limitig situatio. Wh a

More information

2.29 Numerical Fluid Mechanics Spring 2015 Lecture 12

2.29 Numerical Fluid Mechanics Spring 2015 Lecture 12 REVIEW Lctur 11: Numrical Fluid Mchaics Sprig 2015 Lctur 12 Fiit Diffrcs basd Polyomial approximatios Obtai polyomial (i gral u-qually spacd), th diffrtiat as dd Nwto s itrpolatig polyomial formulas Triagular

More information

ECE594I Notes set 6: Thermal Noise

ECE594I Notes set 6: Thermal Noise C594I ots, M. odwll, copyrightd C594I Nots st 6: Thrmal Nois Mark odwll Uivrsity of Califoria, ata Barbara rodwll@c.ucsb.du 805-893-344, 805-893-36 fax frcs ad Citatios: C594I ots, M. odwll, copyrightd

More information

Differential Equations

Differential Equations UNIT I Diffrntial Equations.0 INTRODUCTION W li in a world of intrrlatd changing ntitis. Th locit of a falling bod changs with distanc, th position of th arth changs with tim, th ara of a circl changs

More information

Solution to 1223 The Evil Warden.

Solution to 1223 The Evil Warden. Solutio to 1 Th Evil Ward. This is o of thos vry rar PoWs (I caot thik of aothr cas) that o o solvd. About 10 of you submittd th basic approach, which givs a probability of 47%. I was shockd wh I foud

More information

COLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II

COLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II COLLECTION OF SUPPLEMENTARY PROBLEMS I. CHAPTER 6 --- Trscdtl Fuctios CALCULUS II A. FROM CALCULUS BY J. STEWART:. ( How is th umbr dfid? ( Wht is pproimt vlu for? (c ) Sktch th grph of th turl potil fuctios.

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordiary Diffrtial Equatio Aftr radig thi chaptr, you hould b abl to:. dfi a ordiary diffrtial quatio,. diffrtiat btw a ordiary ad partial diffrtial quatio, ad. Solv liar ordiary diffrtial quatio with fid

More information

Class #24 Monday, April 16, φ φ φ

Class #24 Monday, April 16, φ φ φ lass #4 Moday, April 6, 08 haptr 3: Partial Diffrtial Equatios (PDE s First of all, this sctio is vry, vry difficult. But it s also supr cool. PDE s thr is mor tha o idpdt variabl. Exampl: φ φ φ φ = 0

More information

nd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1).

nd the particular orthogonal trajectory from the family of orthogonal trajectories passing through point (0; 1). Eamn EDO. Givn th family of curvs y + C nd th particular orthogonal trajctory from th family of orthogonal trajctoris passing through point (0; ). Solution: In th rst plac, lt us calculat th di rntial

More information

Review Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2

Review Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2 MATHEMATIS --RE Itgral alculus Marti Huard Witr 9 Rviw Erciss. Evaluat usig th dfiitio of th dfiit itgral as a Rima Sum. Dos th aswr rprst a ara? a ( d b ( d c ( ( d d ( d. Fid f ( usig th Fudamtal Thorm

More information

arxiv: v3 [math.nt] 27 Jul 2013

arxiv: v3 [math.nt] 27 Jul 2013 THE GRAPHIC NATURE OF GAUSSIAN PERIODS WILLIAM DUKE, STEPHAN RAMON GARCIA, AND BOB LUTZ arxiv:1212.6825v3 [math.nt] 27 Jul 2013 Abstract. Rct work has show that th study of surcharactrs o ablia grous rovids

More information

On Multicarrier Signals Where the PMEPR of a Random Codeword is Asymptotically

On Multicarrier Signals Where the PMEPR of a Random Codeword is Asymptotically IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 5, NO. 5, MAY 4 895 [5] E. Vitrbo ad J. Boutros, A uivrsal lattic cod dcodr for fadig chals, IEEE Tras. Iform. Thory, vol. 45,. 639 64, July 999. [6] G. W.

More information

As the matrix of operator B is Hermitian so its eigenvalues must be real. It only remains to diagonalize the minor M 11 of matrix B.

As the matrix of operator B is Hermitian so its eigenvalues must be real. It only remains to diagonalize the minor M 11 of matrix B. 7636S ADVANCED QUANTUM MECHANICS Solutions Spring. Considr a thr dimnsional kt spac. If a crtain st of orthonormal kts, say, and 3 ar usd as th bas kts, thn th oprators A and B ar rprsntd by a b A a and

More information

CORRECTIONS TO THE WU-SPRUNG POTENTIAL FOR THE RIEMANN ZEROS AND A NEW HAMILTONIAN WHOSE ENERGIES ARE THE PRIME NUMBERS

CORRECTIONS TO THE WU-SPRUNG POTENTIAL FOR THE RIEMANN ZEROS AND A NEW HAMILTONIAN WHOSE ENERGIES ARE THE PRIME NUMBERS CORRECTIONS TO THE WU-SPRUNG POTENTIAL FOR THE RIEMANN ZEROS AND A NEW HAMILTONIAN WHOSE ENERGIES ARE THE PRIME NUMBERS Jos Javir Garcia Morta Graduat studt of Physics at th UPV/EHU (Uivrsity of Basqu

More information

Molecular Orbitals in Inorganic Chemistry

Molecular Orbitals in Inorganic Chemistry Outlin olcular Orbitals in Inorganic Chmistry Dr. P. Hunt p.hunt@imprial.ac.uk Rm 167 (Chmistry) http://www.ch.ic.ac.uk/hunt/ octahdral complxs forming th O diagram for Oh colour, slction ruls Δoct, spctrochmical

More information

Empirical Study in Finite Correlation Coefficient in Two Phase Estimation

Empirical Study in Finite Correlation Coefficient in Two Phase Estimation M. Khoshvisa Griffith Uivrsity Griffith Busiss School Australia F. Kaymarm Massachustts Istitut of Tchology Dpartmt of Mchaical girig USA H. P. Sigh R. Sigh Vikram Uivrsity Dpartmt of Mathmatics ad Statistics

More information

WHAT LIES BETWEEN + AND (and beyond)? H.P.Williams

WHAT LIES BETWEEN + AND (and beyond)? H.P.Williams Working Par LSEOR 10-119 ISSN 2041-4668 (Onlin) WHAT LIES BETWEEN + AND (and byond)? HPWilliams London School of Economics hwilliams@lsacuk First ublishd in Grat Britain in 2010 by th Orational Rsarch

More information

Songklanakarin Journal of Science and Technology SJST belhocine

Songklanakarin Journal of Science and Technology SJST belhocine Exact solutio of boudary valu problm dscribig th covctiv hat trasfr i fully- dvlopd lamiar flow through a circular coduit Joural: Sogklaakari Joural of Scic ad Tchology Mauscript ID SJST-- Mauscript Typ:

More information

Calculus & analytic geometry

Calculus & analytic geometry Calculus & aalytic gomtry B Sc MATHEMATICS Admissio owards IV SEMESTER CORE COURSE UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION CALICUT UNIVERSITYPO, MALAPPURAM, KERALA, INDIA 67 65 5 School of Distac

More information

3.1 Atomic Structure and The Periodic Table

3.1 Atomic Structure and The Periodic Table Sav My Exams! Th Hom of Rvisio For mor awsom GSE ad lvl rsourcs, visit us at www.savmyxams.co.uk/ 3. tomic Structur ad Th Priodic Tabl Qustio Par Lvl IGSE Subjct hmistry (060) Exam oard ambridg Itratioal

More information

MCB137: Physical Biology of the Cell Spring 2017 Homework 6: Ligand binding and the MWC model of allostery (Due 3/23/17)

MCB137: Physical Biology of the Cell Spring 2017 Homework 6: Ligand binding and the MWC model of allostery (Due 3/23/17) MCB37: Physical Biology of th Cll Spring 207 Homwork 6: Ligand binding and th MWC modl of allostry (Du 3/23/7) Hrnan G. Garcia March 2, 207 Simpl rprssion In class, w drivd a mathmatical modl of how simpl

More information

Introduction to Condensed Matter Physics

Introduction to Condensed Matter Physics Introduction to Condnsd Mattr Physics pcific hat M.P. Vaughan Ovrviw Ovrviw of spcific hat Hat capacity Dulong-Ptit Law Einstin modl Dby modl h Hat Capacity Hat capacity h hat capacity of a systm hld at

More information

+ x. x 2x. 12. dx. 24. dx + 1)

+ x. x 2x. 12. dx. 24. dx + 1) INTEGRATION of FUNCTION of ONE VARIABLE INDEFINITE INTEGRAL Fidig th idfiit itgrals Rductio to basic itgrals, usig th rul f ( ) f ( ) d =... ( ). ( )d. d. d ( ). d. d. d 7. d 8. d 9. d. d. d. d 9. d 9.

More information

Australian Journal of Basic and Applied Sciences, 4(9): , 2010 ISSN

Australian Journal of Basic and Applied Sciences, 4(9): , 2010 ISSN Australia Joural of Basic ad Applid Scics, 4(9): 4-43, ISSN 99-878 Th Caoical Product of th Diffrtial Equatio with O Turig Poit ad Sigular Poit A Dabbaghia, R Darzi, 3 ANaty ad 4 A Jodayr Akbarfa, Islaic

More information