Positive unstable electrical circuits

Size: px
Start display at page:

Download "Positive unstable electrical circuits"

Transcription

1 Taz KZOEK alyto Uvrty of Tchology Faclty of Elctrcal Egrg Potv tabl lctrcal crct btract: Th tablty for th potv lar lctrcal crct compo of rtor col coator a voltag crrt orc ar ar Thr ffrt cla of th potv tabl lar lctrcal crct ar propo a aalyz It how that potv lctrcal crct ar tabl for all val of thr paramtr f th lctrcal crct ha at lat o mh cotag oly ctac a orc voltag Strzcz W artyl rozpatrywa ą tabl oat low obwoy ltrycz złożo z rzytorów cw oatorów źrół apęca lb prą alzowa ą trzy róż lay oatch obwoów ltryczych tór ą tabl la wzytch wartośc woch paramtrów tz rzytacj cyjośc pojmośc Wyazao ż oat obwoy ltrycz ą tabl la wzytch wartośc woch paramtrów jżl zawrają o przyajmj jo oczo złożo tylo z cw źrół apęca Doat tabl obwoy ltrycz Kywor: potvty lctrcal lar crct tablty Słowa lczow: oatość lowy obwó ltryczy tablość Itrocto yamcal ytm call potv f t trajctory tartg from ay ogatv tal tat rma forvr th potv orthat for all ogatv pt ovrvw of tat of th art potv thory gv th moograph [ ] Varty of mol havg potv bhavor ca b fo grg coomc ocal cc bology a mc tc Potvty of lar lctrcal crct ha b ar [ ] Th fractoal lctrcal crct hav b vtgat [5 6] ymptotc tablty of potv coto-tm lar ytm wth mtal tat-fbac ha b aalyz [7] a of lctrcal crct wth tatfbac [8] Th robt tablty of potv crttm lar ytm of fractoal orr ha b ar [9] Potv lar ytm wth ffrt fractoal orr a lctrcal crct hav b cor [] a potv lar ytm cotg of bytm wth ffrt fractoal orr [] I th papr th tablty of potv lar lctrcal crct compo of rtor col coator a voltag crrt orc wll b aalyz Thr ffrt cla of th potv tabl lar lctrcal crct wll b propo Sffct coo wll b tablh r whch th potv lctrcal crct ar tabl for all val of thr paramtr Th papr orgaz a follow I cto th prlmar a problm formlato ar gv Th potv tabl lar lctrcal crct of typ ar ar cto Th tablty of potv lar ytm of typ ar aalyz cto a for potv lctrcal crct of typ cto 5 oclg rmar ar gv cto 6 Th followg otato wll b : - th t of ral m m mbr - th t of m ral matrc - th t of m matrc wth ogatv tr a matrc wth ogatv off-agoal tr I tty matrx - th t of tzlr matrc ral - th Prlmar a problm formlato or a lar lctrcal crct compo of rtor col coator a voltag crrt orc Ug th Krchhoff law w may crb th trat tat th lctrcal crct by tat qato [-7] x t x t t y t x t D t m whr x t t y t ar th tat m pt a otpt vctor a p pm D th tat varabl x t x th compot of t xt th crrt th col a voltag o th coator ar cho th compot of th pt vctor t ar orc voltag or orc crrt a th compot of th otpt vctor yt ar crrt a voltag of th lctrcal crct It wll-ow [5 -] that ay lar lctrcal crct compo of rtor col coator a voltag crrt orc ca b crb by th tat qato Dfto Th lctrcal crct crb by th qato hortly lctrcal crct call trally potv f for ay x x a vry m t t w hav x t a y t t Thorm [ 5] Th lctrcal crct potv f a oly f m p p p pm D Dfto Th potv lctrcal crct call aymptotcally tabl f lm x t for ay x t Th potv lctrcal crct wll b call tabl f t ot aymptotcally tabl Thorm [ 7] Th potv lctrcal crct aymptotcally tabl f a oly f for = whr = ar th gval ot carly tct of th tzlr matrx [ th zro of th polyomal 5 t[ I a ] trac a a a a j ] j a a t[ ] mma Th potv lctrcal crct tabl f 6 t PZEĄD EEKTOTEHNIZNY Elctrcal vw ISSN N 5a/ 87

2 88 PZEĄD EEKTOTEHNIZNY Elctrcal vw ISSN N 5a/ Proof From 5 a t t follow that f 6 hol th at lat o gval of th matrx zro y Thorm th potv lctrcal crct tabl I th followg cto thr cla of lctrcal crct wll b prt whch ar potv a tabl for all val of thr rtac = q ; ctac j j = q a capactac = q hortly for thr paramtr Potv tabl lctrcal crct I th cto a cla of lctrcal crct compo of rtor wth rtac = q ; col wth ctac j j = q a orc voltag = m whch ar potv a tabl for all val of j wll b propo Exampl or th lctrcal crct how o Fgr wth gv rtac ctac a orc voltag Fg Elctrcal crct Ug th Krchhoff law w obta th followg qato 7 Th qato 7 ca b wrtt th form 8a whr 8b Th lctrcal crct potv for all val of a ozro c a Not that 9 t From 8 t follow that t f at lat o of zro Thrfor th lctrcal crct how o Fg potv a tabl for = a all val of a ozro or for = a all val of Not that th potv crct tabl f t ha at lat o mh cotag oly ctac a orc voltag Exampl or th lctrcal crct how o Fgr wth gv rtac ctac a orc voltag Fg Elctrcal crct Ug th Krchhoff law w obta th followg qato Th qato ca b wrtt th form a whr b Th lctrcal crct potv for all val of a ozro c a Not that t From t follow that t f at lat o of zro

3 PZEĄD EEKTOTEHNIZNY Elctrcal vw ISSN N 5a/ 89 Thrfor th lctrcal crct how o Fg potv a tabl for = a all val of a ozro or for = a all val of or = a all val of Not that th potv crct tabl f t ha at lt o mh cotag oly ctac a orc voltag It ay to chc that f two of th rtac ar zro th th matrx ha a obl zro gval = = Exampl or th lctrcal crct how o Fgr wth gv rtac ctac a orc voltag Fg Elctrcal crct for xampl Ug th Krchhoff law w obta th followg qato 5 Th qato 5 ca b wrtt th form 6a whr 6b Th lctrcal crct potv for all val of a ozro c a Not that 7 t From 7 t follow that 8 t f at lat o of zro Thrfor th lctrcal crct how o Fg potv a tabl for o zro rtac a for all val of th rmag rtac a all val of ozro ctac Th potv crct tabl f t ha at lat o mh cotag oly ctac a orc voltag Th gral ca w hav th followg thorm Thorm Th potv lctrcal crct of typ tabl f t ha at lat o mh cotag oly col a voltag orc Proof To mplfy th otato th proof wll b accomplh for th potv crct how o Fg = Th tablty pt of th pt a w may am = = If = th for th mh cotag ctac w hav 8 a th mpl lar pc of row a colm of th matrx a t = y mma th potv lctrcal crct tabl Potv tabl lctrcal crct I th cto a cla of lctrcal crct compo of rtor wth coctac = q ; coator wth capactac j j = q a orc crrt = m whch ar potv a tabl for all val of j wll b propo Th corato ar mlar al to th corato cto Exampl or th lctrcal crct how o Fgr wth gv coctac capactac a orc crrt Fg Elctrcal crct

4 9 PZEĄD EEKTOTEHNIZNY Elctrcal vw ISSN N 5a/ Ug th Krchhoff law w obta th followg qato 9 Th qato 9 ca b wrtt th form a whr b Th lctrcal crct potv for all val of a ozro c a Not that t From t follow that t f at lat o of zro Thrfor th lctrcal crct how o Fg potv a tabl for = a all val of a ozro or for = a all val of If = th potv tabl crct ha o o wth brach cotag oly coator a crrt orc Exampl 5 or th lctrcal crct how o Fgr 5 wth gv rtac capactac a orc crrt Fg 5 Elctrcal crct to xampl 5 Ug th Krchhoff law w obta th followg qato Th qato ca b wrtt th form a whr b Th lctrcal crct potv for all val of a ozro c a Not that 5 t From 5 t follow that 6 t f at lat o of zro Thrfor th lctrcal crct how o Fg 5 potv a tabl for = a all val of a ozro or for = a all val of or = a all val of Th potv crct tabl f = I th ca crct ha o o wth brach cotag oly coator a crrt orc I gral ca w hav th followg thorm Thorm Th potv lctrcal crct of typ tabl f t ha at lat o o wth brach cotag oly coator a crrt orc Proof mlar to th proof of Thorm Potv tabl typ lctrcal crct I th cto a cla of lctrcal crct compo of rtor wth rtac = q ; col wth ctac j j = q ; coator wth coctac = q a orc voltag l l = m whch ar potv a tabl for all val of paramtr wll b propo Exampl 6 or th lctrcal crct how o Fgr 6 wth gv rtac octac ctac capactac a orc voltag Fg 6 Elctrcal crct Ug th Krchhoff law w obta th followg qato

5 7 Th qato 7 ca b wrtt th form 8a whr 8b Th lctrcal crct potv for all val of a ozro c a From 9 t t follow that t f at lat o of zro Thrfor th lctrcal crct how o Fg 6 potv a tabl for = a all val of a ozro or for = a all val of a ozro Not that for = th crct ha o mh cotag oly th ctac a orc voltag Exampl 7 or th lctrcal crct how o Fgr 7 wth gv rtac coctac ctac capactac a orc voltag Fg 7 Elctrcal crct Ug th Krchhoff law w obta th followg qato Th qato 55 ca b wrtt th form a whr b Th lctrcal crct potv for all val of a ozro c a From t t follow that t f at lat o of zro Thrfor th lctrcal crct how o Fg 7 potv a tabl for at lat o of rtac or o of th coctac zro for all val of ozro ctac a capactac If = or = th th potv tabl crct ha o mh cotg of brach wth oly ctac a orc voltag I gral ca cor th lctrcal crct how o Fgr 8 wth gv rtac coctac ctac coctac a orc voltag Fg 8 Elctrcal crct Ug th Krchhoff law w ca wrt th qato PZEĄD EEKTOTEHNIZNY Elctrcal vw ISSN N 5a/ 9

6 5 j j j j j ; j whch ca b wrtt th form 6a whr 6b ag From 6 t follow that th lctrcal crct potv for all val of th rtac a coctac a ozro ctac a capactac Not that 7 t a th potv lctrcal crct tabl f at lat o of or o of zro for ay ozro val of a From th agoal form of th matrx t follow that th mltplcty of t zro gval qal to th mbr of zro coctac a rtac If at lat o of zro th th potv lctrcal crct tabl a t ha at lat o mh cotg of brach wth oly ctac a orc voltag Thrfor w hav th followg thorm Thorm 5 Th potv lctrcal crct of typ tabl f t ha at lat o mh cotag oly th ctac a orc voltag mlar al thorm ca b formlat for potv lctrcal crct havg o o wth brach cotg oly of coator a crrt orc Thorm oclg rmar Th tablty for th potv lar lctrcal crct compo of rtor col coator a voltag crrt orc ha b ar Thr ffrt cla: typ typ a typ of th potv tabl lar lctrcal crct hav b propo a aalyz It ha b how that vry potv lctrcal crct of th thr cla tabl for all val of thr paramtr Thorm a 5 f t ha at lat o mh wth brach cotag oly col a voltag orc Th corato ar lltrat by xampl of lctrcal crct blogg to thr cla of potv a tabl crct Th corato ca b aly xt to potv fractoal lar crct [] Not that th papr oly ffct coo for tablty of th potv lar lctrcal crct hav b tablh op problm to tablh th cary a ffct coo for th tablty of th potv lctrcal crct cowlgmt Th wor wa pport by Natoal Scc tr Pola r wor S/WE// EFEENES [] Fara al S Potv ar Sytm; Thory a pplcato J Wly Nw Yor [] Kaczor T Potv D a D ytm Sprgr Vrlag oo [] Kaczor T Potvty a rachablty of fractoal lctrcal crct cta chaca t tomatca Vol No - [] Kaczor T Potv lctrcal crct a thr rachablty Proc of omptr pplcato Elctrcal Egrg prl - Poza Pola [5] Kaczor T aly of fractoal lctrcal crct trat tat OITNS Szczyr Pola [6] Kaczor T Sglar fractoal lar ytm a lctrcal crct It J ppl ath ompt Sc Vol No 79-8 [7] Kaczor T ymptotc tablty of potv coto-tm lar ytm wth mtal tat-fbac Elctrcal vw Vol 87 No 6-66 [8] Kaczor T Elctrcal crct wth tat-fbac a r yamcal proprt armt tomato a otorg Vol 56 No [9] łowcz obt tablty of potv crt-tm lar ytm of fractoal orr ll Pol ca Sc Tch Vol 58 No [] Kaczor T Potv lar ytm wth ffrt fractoal orr ll Pol ca Sc Tch Vol 58 No 5-58 [] Kaczor T Potv lar ytm cotg of bytm wth ffrt fractoal orr IEEE Tra rc a Syt Vol 58 No 6 - [] tal PJ chl N ar Sytm rhar oto 6 [] Kaczor T ar otrol Sytm Vol J Wly Nw Yor 99 [] Kaczor T Slct Problm of Fractoal Sytm Thory Sprgr-Vrlag rl [5] Kalath T ar Sytm Prtc-Hall Eglwoo lff Nw Yor 98 [6] obroc HH Stat-Spac a ltvarabl Thory J Wly Nw Yor 97 [7] Wolovch W ar ltvarabl Sytm Sprgr-Vrlag Nw Yor 97 thor: prof r hab ż Taz Kaczor alyto Uvrty of Tchology Faclty of Elctrcal Egrg Wja 5D 5-5 alyto Pola E-mal: aczor@ppwpl 9 PZEĄD EEKTOTEHNIZNY Elctrcal vw ISSN N 5a/

Positive electrical circuits with zero transfer matrices and their discretization

Positive electrical circuits with zero transfer matrices and their discretization omptr ppcato Ectrca Egrg Vo. 6 DO.8/j.58-8.6. Potv ctrca crct wt zro trafr matrc a tr crtzato Taz Kaczork Baytok Uvrty of Tcoogy 5 5 Baytok. Wjka 5D ma: kaczork@.pw..p Potv coto tm a crt tm ar ctrca crct

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

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

Lecture 6 - SISO Loop Analysis

Lecture 6 - SISO Loop Analysis Lctr 6 - IO Loop Aal IO gl Ipt gl Otpt Aal: tablt rformac Robt EE39m - Wtr 003 otrol Egrg 6- ODE tablt Lapo tablt thor - olar tm tablt fto frt rct mtho xpotal corgc co mtho: Lapo fcto gralzato of rg pato

More information

Note: Torque is prop. to current Stationary voltage is prop. to speed

Note: Torque is prop. to current Stationary voltage is prop. to speed DC Mach Cotrol Mathmatcal modl. Armatr ad orq f m m a m m r a a a a a dt d ψ ψ ψ ω Not: orq prop. to crrt Statoary voltag prop. to pd Mathmatcal modl. Fld magtato f f f f d f dt a f ψ m m f f m fλ h torq

More information

Estimators for Finite Population Variance Using Mean and Variance of Auxiliary Variable

Estimators for Finite Population Variance Using Mean and Variance of Auxiliary Variable Itratoal Jal o Probablt a tattc 5 : - DOI:.59/j.jp.5. tmat Ft Poplato Varac U Ma a Varac o Alar Varabl Ph Mra * R. Kara h Dpartmt o tattc Lcow Urt Lcow Ia Abtract F tmat t poplato arac mato o l alar arabl

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

NORMAL POSITIVE LINEAR SYSTEMS AND ELECTRICAL CIRCUITS

NORMAL POSITIVE LINEAR SYSTEMS AND ELECTRICAL CIRCUITS EEKYK 8 Zzyt 5 o XIV duz KZOEK łyto Uvrty o chology NOM POSIIVE INE SYSEMS ND EEI IUIS Sury h oto o orl otv lctrcl crcut troducd d o thr cc rort r vtgtd Nw tt trc o otv lr yt d lctrcl crcut r rood d thr

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

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

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

MECH321 Dynamics of Engineering System Week 4 (Chapter 6)

MECH321 Dynamics of Engineering System Week 4 (Chapter 6) MH3 Dynamc of ngnrng Sytm Wk 4 (haptr 6). Bac lctrc crcut thor. Mathmatcal Modlng of Pav rcut 3. ompl mpdanc Approach 4. Mchancal lctrcal analogy 5. Modllng of Actv rcut: Opratonal Amplfr rcut Bac lctrc

More information

[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then

[ ] 1+ lim G( s) 1+ s + s G s s G s Kacc SYSTEM PERFORMANCE. Since. Lecture 10: Steady-state Errors. Steady-state Errors. Then SYSTEM PERFORMANCE Lctur 0: Stady-tat Error Stady-tat Error Lctur 0: Stady-tat Error Dr.alyana Vluvolu Stady-tat rror can b found by applying th final valu thorm and i givn by lim ( t) lim E ( ) t 0 providd

More information

Estimating the Variance in a Simulation Study of Balanced Two Stage Predictors of Realized Random Cluster Means Ed Stanek

Estimating the Variance in a Simulation Study of Balanced Two Stage Predictors of Realized Random Cluster Means Ed Stanek Etatg th Varac a Sulato Study of Balacd Two Stag Prdctor of Ralzd Rado Clutr Ma Ed Stak Itroducto W dcrb a pla to tat th varac copot a ulato tudy N ( µ µ W df th varac of th clutr paratr a ug th N ulatd

More information

GRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which?

GRAPHS IN SCIENCE. drawn correctly, the. other is not. Which. Best Fit Line # one is which? 5 9 Bt Ft L # 8 7 6 5 GRAPH IN CIENCE O of th thg ot oft a rto of a xrt a grah of o k. A grah a vual rrtato of ural ata ollt fro a xrt. o of th ty of grah you ll f ar bar a grah. Th o u ot oft a l grah,

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

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

A Note on Estimability in Linear Models

A Note on Estimability in Linear Models Intrnatonal Journal of Statstcs and Applcatons 2014, 4(4): 212-216 DOI: 10.5923/j.statstcs.20140404.06 A Not on Estmablty n Lnar Modls S. O. Adymo 1,*, F. N. Nwob 2 1 Dpartmnt of Mathmatcs and Statstcs,

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

MINIMUM ENERGY CONTROL OF FRACTIONAL POSITIVE ELECTRICAL CIRCUITS. Tadeusz Kaczorek

MINIMUM ENERGY CONTROL OF FRACTIONAL POSITIVE ELECTRICAL CIRCUITS. Tadeusz Kaczorek MINIMUM ENEGY CONO OF FACIONA POSIIVE EECICA CICUIS ausz Kaczor alyso Uvrsy o chology Faculy o Elcrcal Egrg jsa 45D 5-5 alyso -al: aczor@sppwupl ASAC Mu rgy corol probl or h racoal posv lcrcal crcus s

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

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

Petroleum Reservoir Engineering by Non-linear Singular Integral Equations

Petroleum Reservoir Engineering by Non-linear Singular Integral Equations www.ccst.org/mr Mchacal Egrg Rsarch Vol. 1 No. 1; Dcmbr 11 Ptrolm Rsrvor Egrg b No-lar Sglar Itgral Eqatos E. G. Laopolos Itrpapr Rsarch Orgazato 8 Dma Str. Aths GR - 16 7 Grc Rcv: Agst 8 11 Accpt: Sptmbr

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

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

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

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

POSITIVITY AND REACHABILITY OF FRACTIONAL ELECTRICAL CIRCUITS

POSITIVITY AND REACHABILITY OF FRACTIONAL ELECTRICAL CIRCUITS asz Kaczo Posy a achably o Facoal Elccal cs POSIIVIY ND EHIIY OF FION EEI IUIS asz KZOEK* *Facly o Elccal Egg ałyso Usy o chology l Wsa D - ałyso aczo@sppwpl bsac: oos o h posy o acoal la lccal ccs copos

More information

THE BALANCED CREDIBILITY ESTIMATORS WITH MULTITUDE CONTRACTS OBTAINED UNDER LINEX LOSS FUNCTION

THE BALANCED CREDIBILITY ESTIMATORS WITH MULTITUDE CONTRACTS OBTAINED UNDER LINEX LOSS FUNCTION Joural of Stattc: Advac Thory ad Applcato Volum 4 Numbr 5 Pag - Avalabl at http://ctfcadvac.co. DOI: http://dx.do.org/.864/jata_746 THE BALANCED CREDIBILITY ESTIMATORS WITH MULTITUDE CONTRACTS OBTAINED

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

Noise in electronic components.

Noise in electronic components. No lto opot5098, JDS No lto opot Th PN juto Th ut thouh a PN juto ha fou opot t: two ffuo ut (hol fo th paa to th aa a lto th oppot to) a thal at oty ha a (hol fo th aa to th paa a lto th oppot to, laka

More information

Linear Algebra. Definition The inverse of an n by n matrix A is an n by n matrix B where, Properties of Matrix Inverse. Minors and cofactors

Linear Algebra. Definition The inverse of an n by n matrix A is an n by n matrix B where, Properties of Matrix Inverse. Minors and cofactors Dfnton Th nvr of an n by n atrx A an n by n atrx B whr, Not: nar Algbra Matrx Invron atrc on t hav an nvr. If a atrx ha an nvr, thn t call. Proprt of Matrx Invr. If A an nvrtbl atrx thn t nvr unqu.. (A

More information

Estimation of Population Variance Using a Generalized Double Sampling Estimator

Estimation of Population Variance Using a Generalized Double Sampling Estimator r Laka Joural o Appl tatstcs Vol 5-3 stmato o Populato Varac Us a Gralz Doubl ampl stmator Push Msra * a R. Kara h Dpartmt o tatstcs D.A.V.P.G. Coll Dhrau- 8 Uttarakha Ia. Dpartmt o tatstcs Luckow Uvrst

More information

Comparisons of the Variance of Predictors with PPS sampling (update of c04ed26.doc) Ed Stanek

Comparisons of the Variance of Predictors with PPS sampling (update of c04ed26.doc) Ed Stanek Coparo o th Varac o Prdctor wth PPS aplg (updat o c04d6doc Ed Sta troducto W copar prdctor o a PSU a or total bad o PPS aplg Th tratgy to ollow that o Sta ad Sgr (JASA, 004 whr w xpr th prdctor a a lar

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

Control Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor

Control Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor Cotol Syt ctu 8 Root ocu Clacal Cotol Pof. Eugo Schut hgh Uvty Root ocu Cotoll Plat R E C U Y - H C D So Y C C R C H Wtg th loo ga a w a ttd tackg th clod-loo ol a ga va Clacal Cotol Pof. Eugo Schut hgh

More information

Power System Dynamic Security Region and Its Approximations

Power System Dynamic Security Region and Its Approximations h artcl ha b accpt for publcato a futur u of th joural, but ha ot b fully t. Cott may chag pror to fal publcato. > REPLACE HIS LINE WIH YOUR PAPER IDENIFICAION NUMBER (DOUBLE-CLICK HERE O EDI) < Powr Sytm

More information

Notation for Mixed Models for Finite Populations

Notation for Mixed Models for Finite Populations 30- otato for d odl for Ft Populato Smpl Populato Ut ad Rpo,..., Ut Labl for,..., Epctd Rpo (ovr rplcatd maurmt for,..., Rgro varabl (Luz r for,...,,,..., p Aular varabl for ut (Wu z μ for,...,,,..., p

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

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

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1

Linear System Review. Linear System Review. Descriptions of Linear Systems: 2008 Spring ME854 - GGZ Page 1 8 Sprg ME854 - Z Pg r Sym Rvw r Sym Rvw r Sym Rvw crpo of r Sym: p m R y R R y FT : & U Y Trfr Fco : y or : & : d y d r Sym Rvw orollbly d Obrvbly: fo 3.: FT dymc ym or h pr d o b corollbl f y l > d fl

More information

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F

More information

Chapter 5 Special Discrete Distributions. Wen-Guey Tzeng Computer Science Department National Chiao University

Chapter 5 Special Discrete Distributions. Wen-Guey Tzeng Computer Science Department National Chiao University Chatr 5 Scal Dscrt Dstrbutos W-Guy Tzg Comutr Scc Dartmt Natoal Chao Uvrsty Why study scal radom varabls Thy aar frqutly thory, alcatos, statstcs, scc, grg, fac, tc. For aml, Th umbr of customrs a rod

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

Trignometric Inequations and Fuzzy Information Theory

Trignometric Inequations and Fuzzy Information Theory Iteratoal Joural of Scetfc ad Iovatve Mathematcal Reearch (IJSIMR) Volume, Iue, Jauary - 0, PP 00-07 ISSN 7-07X (Prt) & ISSN 7- (Ole) www.arcjoural.org Trgometrc Iequato ad Fuzzy Iformato Theory P.K. Sharma,

More information

Power Spectrum Estimation of Stochastic Stationary Signals

Power Spectrum Estimation of Stochastic Stationary Signals ag of 6 or Spctru stato of Stochastc Statoary Sgas Lt s cosr a obsrvato of a stochastc procss (). Ay obsrvato s a ft rcor of th ra procss. Thrfor, ca say:

More information

Entropy Equation for a Control Volume

Entropy Equation for a Control Volume Fudamtals of Thrmodyamcs Chaptr 7 Etropy Equato for a Cotrol Volum Prof. Syoug Jog Thrmodyamcs I MEE2022-02 Thrmal Egrg Lab. 2 Q ds Srr T Q S2 S1 1 Q S S2 S1 Srr T t t T t S S s m 1 2 t S S s m tt S S

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

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

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h

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

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

International Journal in Foundations of Computer Science & Technology (IJFCST) Vol.8, No.3, May Amin Ghodousian *

International Journal in Foundations of Computer Science & Technology (IJFCST) Vol.8, No.3, May Amin Ghodousian * AN ALGORIHM OR SOLVING LINEAR OPIMIZAION PROBLEMS SUBJECE O HE INERSECION O WO UZZY RELAIONAL INEQUALIIES EINE BY RANK AMILY O -NORMS Am Ghodoua aculty of Egrg Scc, Collg of Egrg, Uvrty of hra, POBox 365-4563,

More information

Fooling Newton s Method a) Find a formula for the Newton sequence, and verify that it converges to a nonzero of f. A Stirling-like Inequality

Fooling Newton s Method a) Find a formula for the Newton sequence, and verify that it converges to a nonzero of f. A Stirling-like Inequality Foolig Nwto s Mthod a Fid a formla for th Nwto sqc, ad vrify that it covrgs to a ozro of f. ( si si + cos 4 4 3 4 8 8 bt f. b Fid a formla for f ( ad dtrmi its bhavior as. f ( cos si + as A Stirlig-li

More information

Periodic Structures. Filter Design by the Image Parameter Method

Periodic Structures. Filter Design by the Image Parameter Method Prioic Structurs a Filtr sig y th mag Paramtr Mtho ECE53: Microwav Circuit sig Pozar Chaptr 8, Sctios 8. & 8. Josh Ottos /4/ Microwav Filtrs (Chaptr Eight) microwav filtr is a two-port twork us to cotrol

More information

x xi r 0. The most popular RBFs are given as follows: IUST International Journal of Engineering Science, Vol. 19, No.5-2, 2008, Page 21-26

x xi r 0. The most popular RBFs are given as follows: IUST International Journal of Engineering Science, Vol. 19, No.5-2, 2008, Page 21-26 IST Iol Jol of Egg S Vol 9 o5-8 Pg -6 O THE MERICAL SOLTIO OF OE IMESIOAL SCHROIGER EQATIO WITH OARY COITIOS IVOLVIG FRACTIOAL IFFERETIAL OPERATORS Jzb & M Mo Ab: I pp w y of olloo mo w Rl Fo o olv o mol

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

Chemical Physics II. More Stat. Thermo Kinetics Protein Folding...

Chemical Physics II. More Stat. Thermo Kinetics Protein Folding... Chmical Physics II Mor Stat. Thrmo Kintics Protin Folding... http://www.nmc.ctc.com/imags/projct/proj15thumb.jpg http://nuclarwaponarchiv.org/usa/tsts/ukgrabl2.jpg http://www.photolib.noaa.gov/corps/imags/big/corp1417.jpg

More information

Binary Choice. Multiple Choice. LPM logit logistic regresion probit. Multinomial Logit

Binary Choice. Multiple Choice. LPM logit logistic regresion probit. Multinomial Logit (c Pogsa Porchawssul, Faculty of Ecoomcs, Chulalogor Uvrsty (c Pogsa Porchawssul, Faculty of Ecoomcs, Chulalogor Uvrsty 3 Bary Choc LPM logt logstc rgrso probt Multpl Choc Multomal Logt (c Pogsa Porchawssul,

More information

Why switching? Modulation. Switching amp. Losses. Converter topology. i d. Continuous amplifiers have low efficiency. Antag : u i

Why switching? Modulation. Switching amp. Losses. Converter topology. i d. Continuous amplifiers have low efficiency. Antag : u i Modlaton Indtral Elctrcal Engnrng and Atomaton Lnd nvrty, Swdn Why wtchng? Contno amplfr hav low ffcncy a b Contno wtch pt ( t ) = pn( t) = ( a b) Antag : ( a b) = Pn = Pt η = = = Pn Swtchng amp. Lo Convrtr

More information

Chapter 10 Time-Domain Analysis and Design of Control Systems

Chapter 10 Time-Domain Analysis and Design of Control Systems ME 43 Sytm Dynamic & Control Sction 0-5: Stady Stat Error and Sytm Typ Chaptr 0 Tim-Domain Analyi and Dign of Control Sytm 0.5 STEADY STATE ERRORS AND SYSTEM TYPES A. Bazoun Stady-tat rror contitut an

More information

T and V be the total kinetic energy and potential energy stored in the dynamic system. The Lagrangian L, can be defined by

T and V be the total kinetic energy and potential energy stored in the dynamic system. The Lagrangian L, can be defined by From MEC '05 Itrgratg Prosthtcs ad Mdc, Procdgs of th 005 MyoElctrc Cotrols/Powrd Prosthtcs Symposum, hld Frdrcto, Nw Bruswc, Caada, ugust 7-9, 005. EECROMECHNIC NYSIS OF COMPEE RM PROSHESIS (EMS) Prmary

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

CONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD

CONSTACYCLIC CODES OF LENGTH OVER A FINITE FIELD Jorl o Algbr Nbr Tory: Ac Alco Vol 5 Nbr 6 Pg 4-64 Albl ://ccc.co. DOI: ://.o.org/.864/_753 ONSTAYLI ODES OF LENGTH OVER A FINITE FIELD AITA SAHNI POONA TRAA SEHGAL r or Ac Sy c Pb Ury gr 64 I -l: 5@gl.co

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

Exercises for lectures 7 Steady state, tracking and disturbance rejection

Exercises for lectures 7 Steady state, tracking and disturbance rejection Exrc for lctur 7 Stady tat, tracng and dturbanc rjcton Martn Hromčí Automatc control 06-3-7 Frquncy rpon drvaton Automatcé řízní - Kybrnta a robota W lad a nuodal nput gnal to th nput of th ytm, gvn by

More information

Engineering Differential Equations Practice Final Exam Solutions Fall 2011

Engineering Differential Equations Practice Final Exam Solutions Fall 2011 9.6 Enginring Diffrntial Equation Practic Final Exam Solution Fall 0 Problm. (0 pt.) Solv th following initial valu problm: x y = xy, y() = 4. Thi i a linar d.. bcau y and y appar only to th firt powr.

More information

Mauricio A. Elzo, University of Florida, 1996, 2005, 2006, [20-1] ANIMAL BREEDING NOTES CHAPTER 20 ADDITIVE GENETIC GROUP MODELS

Mauricio A. Elzo, University of Florida, 1996, 2005, 2006, [20-1] ANIMAL BREEDING NOTES CHAPTER 20 ADDITIVE GENETIC GROUP MODELS Maurc A. Elz, Uvrt f Flra, 996, 5, 6,. [] ANIMAL BEEING NOES CHAPE AIIVE GENEIC GOUP MOELS h ml tu utl w hav all aum that th xpct valu f th BLUP f th amal tc valu wa zr,.., E[u] =. h wa a aumpt ma wh th

More information

Weights Interpreting W and lnw What is β? Some Endnotes = n!ω if we neglect the zero point energy then ( )

Weights Interpreting W and lnw What is β? Some Endnotes = n!ω if we neglect the zero point energy then ( ) Sprg Ch 35: Statstcal chacs ad Chcal Ktcs Wghts... 9 Itrprtg W ad lw... 3 What s?... 33 Lt s loo at... 34 So Edots... 35 Chaptr 3: Fudatal Prcpls of Stat ch fro a spl odl (drvato of oltza dstrbuto, also

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

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

Introduction to Laplace Transforms October 25, 2017

Introduction to Laplace Transforms October 25, 2017 Iroduco o Lplc Trform Ocobr 5, 7 Iroduco o Lplc Trform Lrr ro Mchcl Egrg 5 Smr Egrg l Ocobr 5, 7 Oul Rvw l cl Wh Lplc rform fo of Lplc rform Gg rform b gro Fdg rform d vr rform from bl d horm pplco o dffrl

More information

MATHEMATICAL IDEAS AND NOTIONS OF QUANTUM FIELD THEORY. e S(A)/ da, h N

MATHEMATICAL IDEAS AND NOTIONS OF QUANTUM FIELD THEORY. e S(A)/ da, h N MATHEMATICAL IDEAS AND NOTIONS OF QUANTUM FIELD THEORY 9 4. Matrx tgrals Lt h N b th spac of Hrmta matrcs of sz N. Th r product o h N s gv by (A, B) = Tr(AB). I ths scto w wll cosdr tgrals of th form Z

More information

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao

More information

a 1and x is any real number.

a 1and x is any real number. Calcls Nots Eponnts an Logarithms Eponntial Fnction: Has th form y a, whr a 0, a an is any ral nmbr. Graph y, Graph y ln y y Th Natral Bas (Elr s nmbr): An irrational nmbr, symboliz by th lttr, appars

More information

ECE602 Exam 1 April 5, You must show ALL of your work for full credit.

ECE602 Exam 1 April 5, You must show ALL of your work for full credit. ECE62 Exam April 5, 27 Nam: Solution Scor: / This xam is closd-book. You must show ALL of your work for full crdit. Plas rad th qustions carfully. Plas chck your answrs carfully. Calculators may NOT b

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

Physics 256: Lecture 2. Physics

Physics 256: Lecture 2. Physics Physcs 56: Lctur Intro to Quantum Physcs Agnda for Today Complx Numbrs Intrfrnc of lght Intrfrnc Two slt ntrfrnc Dffracton Sngl slt dffracton Physcs 01: Lctur 1, Pg 1 Constructv Intrfrnc Ths wll occur

More information

The pn junction: 2 Current vs Voltage (IV) characteristics

The pn junction: 2 Current vs Voltage (IV) characteristics Th pn junction: Currnt vs Voltag (V) charactristics Considr a pn junction in quilibrium with no applid xtrnal voltag: o th V E F E F V p-typ Dpltion rgion n-typ Elctron movmnt across th junction: 1. n

More information

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

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

More information

By Joonghoe Dho. The irradiance at P is given by

By Joonghoe Dho. The irradiance at P is given by CH. 9 c CH. 9 c By Joogo Do 9 Gal Coao 9. Gal Coao L co wo po ouc, S & S, mg moocomac wav o am qucy. L paao a b muc ga a. Loca am qucy. L paao a b muc ga a. Loca po obvao P a oug away om ouc o a a P wavo

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

Chemistry 222 DO NOT OPEN THE EXAM UNTIL YOU ARE READY TO TAKE IT! You may allocate a maximum of 80 continuous minutes for this exam.

Chemistry 222 DO NOT OPEN THE EXAM UNTIL YOU ARE READY TO TAKE IT! You may allocate a maximum of 80 continuous minutes for this exam. Chmtry Sprg 09 Eam : Chaptr -5 Nam 80 Pot Complt fv (5) of th followg problm. CLEARLY mark th problm you o ot wat gra. You mut how your work to rcv crt for problm rqurg math. Rport your awr wth th approprat

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 St Ssts o Ordar Drtal Equatos Novbr 7 St Ssts o Ordar Drtal Equatos Larr Cartto Mcacal Er 5A Sar Er Aalss Novbr 7 Outl Mr Rsults Rvw last class Stablt o urcal solutos Stp sz varato or rror cotrol Multstp

More information

On a problem of J. de Graaf connected with algebras of unbounded operators de Bruijn, N.G.

On a problem of J. de Graaf connected with algebras of unbounded operators de Bruijn, N.G. O a problm of J. d Graaf coctd with algbras of uboudd oprators d Bruij, N.G. Publishd: 01/01/1984 Documt Vrsio Publishr s PDF, also kow as Vrsio of Rcord (icluds fial pag, issu ad volum umbrs) Plas chck

More information

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

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

More information

1. Linear second-order circuits

1. Linear second-order circuits ear eco-orer crcut Sere R crcut Dyamc crcut cotag two capactor or two uctor or oe uctor a oe capactor are calle the eco orer crcut At frt we coer a pecal cla of the eco-orer crcut, amely a ere coecto of

More information

GENERALIZATIONS OF CEVA S THEOREM AND APPLICATIONS

GENERALIZATIONS OF CEVA S THEOREM AND APPLICATIONS GENERLIZTIONS OF CEV S THEOREM ND PPLICTIONS Floret Smaradache Uversty of New Mexco 200 College Road Gallup, NM 87301, US E-mal: smarad@um.edu I these paragraphs oe presets three geeralzatos of the famous

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

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

Lecture 7 - SISO Loop Analysis

Lecture 7 - SISO Loop Analysis Lctr 7 - IO Loop Anal IO ngl Inpt ngl Otpt Anal: tablt rformanc Robtn EE39m - prng 5 Gornvk ontrol Engnrng 7- ODE tablt Lapnov mathmatcal tablt thor - nonlnar tm tablt fnton frt rct mtho xponntal convrgnc

More information

Wedge clamp, double-acting for dies with tapered clamping edge

Wedge clamp, double-acting for dies with tapered clamping edge Wg c, ou-ctg or th tr cg g Acto: cg o th tr cg g or cg o o r or cg o jcto oug ch A B Hr g cg rt Buhg Dg: Dou-ctg g c or cg o r or or or cg jcto oug ch. Th g c cot o hyruc oc cyr to gu houg. Th cg ot ro

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

ONLY AVAILABLE IN ELECTRONIC FORM

ONLY AVAILABLE IN ELECTRONIC FORM OPERTIONS RESERH o.287/opr.8.559c pp. c c8 -copao ONLY VILLE IN ELETRONI FORM fors 28 INFORMS Elctroc opao Optzato Mols of scrt-evt Syst yacs by Wa K (Vctor ha a L Schrub, Opratos Rsarch, o.287/opr.8.559.

More information

Two-Dimensional Quantum Harmonic Oscillator

Two-Dimensional Quantum Harmonic Oscillator D Qa Haroc Oscllaor Two-Dsoal Qa Haroc Oscllaor 6 Qa Mchacs Prof. Y. F. Ch D Qa Haroc Oscllaor D Qa Haroc Oscllaor ch5 Schrödgr cosrcd h cohr sa of h D H.O. o dscrb a classcal arcl wh a wav ack whos cr

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

Potential Games and the Inefficiency of Equilibrium

Potential Games and the Inefficiency of Equilibrium Optmzaton and Control o Ntork Potntal Gam and th Inny o Equlbrum Ljun Chn 3/8/216 Outln Potntal gam q Rv on tratg gam q Potntal gam atom and nonatom Inny o qulbrum q Th pr o anarhy and lh routng q Rour

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

Maximum Walk Entropy Implies Walk Regularity

Maximum Walk Entropy Implies Walk Regularity Maxmum Walk Etropy Imples Walk Regularty Eresto Estraa, a José. e la Peña Departmet of Mathematcs a Statstcs, Uversty of Strathclye, Glasgow G XH, U.K., CIMT, Guaajuato, Mexco BSTRCT: The oto of walk etropy

More information