USE OF STATISTICAL TECHNIQUES FOR CRITICAL GAPS ESTIMATION

Size: px
Start display at page:

Download "USE OF STATISTICAL TECHNIQUES FOR CRITICAL GAPS ESTIMATION"

Transcription

1 Sessio 1. Sttistic Methods d Thei Applictios Poceedigs of the 12 th Itetiol Cofeece Relibility d Sttistics i Tspottio d Commuictio (RelStt 12, Octobe 2012, Rig, Ltvi, p ISBN Tspot d Telecommuictio Istitute, Lomoosov 1, LV-1019, Rig, Ltvi USE OF STATISTICAL TECHNIQUES FOR CRITICAL GAPS ESTIMATION Ade Gvulová Uivesity of Žili, Fculty of Civil Egieeig Deptmet of Highwy Egieeig Uivezitá 8251/1, SK Žili, Slovk Republic Ph.: E-mil: de.gvulov@fstv.uiz.sk The citicl gp is vey impott pmete fo cpcity clcultio of usiglized itesectios. This pmete is stochsticlly distibuted vlue d it cot be mesued diectly o the field. Oly ejected gps d ccepted gps of ech mio stem vehicle c be mesued t the itesectio. Cosequetly, some sttisticl model o pocedue fo estimtig citicl gps is eeded. Thee e my diffeet methods o pocedues fo citicl gp estimtio d my studies bout estimtig the citicl gp hve bee cied out. But i Slovki we hve oly little pcticl expeieces becuse simil studies hve ely bee doe i ou couty. This ppe pesets shot oveview of thee methods fo the estimtio of citicl gps t usiglized itesectios: method of Rff (1950, Mximum Likelihood Method (MLM of Toutbeck (1992 d method of Wu (2006. These methods e peseted o pcticl exmple. Iput dte obseved ccepted d mximum ejected gps of ech mio stem vehicle wee detemied o the bsis of video suvey t the usiglized itesectio i Žili. Citicl gps e estimted by usig these thee methods d esults e comped ech othe. Keywods: citicl gp estimtio, ejected d ccepted gp, mximum likelihood method, pobbility, usiglized itesectio 1. Itoductio Methods of cpcity clcultio fo usiglized itesectios e mostly bsed o Gp ccepe pocedue (GAP. I this pocedue the citicl gp is impott pmete fo cpcity clcultio. Thee e diffeet vlues of citicl gps fo dives i diffeet geomety d tffic coditios. The poblem is the citicl gps cot be mesued diectly. Oly eject gps d ccepted gps of sigle vehicles i the mio stem c be mesued t the itesectio. Cosequetly, some sttisticl model o pocedue fo estimtig citicl gps t usiglized itesectios is eeded. Thee e my diffeet methods o pocedues fo citicl gp estimtio (moe th 20 methods, such s method of Rff (1950, Hdes (1968, Awoth (1970, Siegloch (1973, Toutbeck (1992 d so o. The most commoly used methods fo estimtig the citicl gp e the method of Rff (1950 d Toutbeck (1992. The method of Rff (1950 is bsed o mcoscopic model d it is the eliest method fo estimtig the citicl gp which is used i my couties becuse of its simplicity. I Toutbeck's micoscopic model the pobbility of the citicl gp is clculted though the Mximum Likelihood Method (MLM.A itetio pocess is ecessy. The ouome of Bilo et l. compehesive lyses [1] is MLM of Toutbeck (1992 gives the best esults. This method is ecommeded fo estimtig the citicl gps i the best-kow stdd muls fo tffic egieeig HCM 2000 d HBS Ufotutely, the model of Toutbeck (1992 is vey complicted to commo use fo tffic egiees. Besides the metioed methods, Wu (2006 developed mcoscopic method bsed o equilibium of pobbilities betwee the ejected d ccepted gps [2]. Usig this method is simple; it c be cied out esy by spedsheet pogms without itetios. This ppe biefly itoduced method of Rff (1950, MLM of Toutbeck (1992 d method of Wu (2006. I Slovki we hve oly little pcticl expeieces bout estimtig the citicl gp becuse simil studies hve ely bee doe i ou couty. This ppe pesets pcticl exmple of citicl gps estimtio by usig these thee methods. The citicl gps wee clculted d comped ech othe. Iput dte (ccepted gps d mximum ejected gps wee detemied o the bsis of video suvey t the usiglized itesectio i Žili. 20

2 The 12 th Itetiol Cofeece RELIABILITY d STATISTICS i TRANSPORTATION d COMMUNICATION Methods fo Estimtig the Citicl Gp The citicl gp t c c be defied s the miimum time itevl betwee the mjo stem vehicles tht is ecessy fo oe mio stem vehicle to mke meuve (see Figue 1.Vlues of citicl gps e diffeet fo diffeet dives (some of them e too fst o isky, some of them e slow o ceful d thee e depedet o types of movemets, geomety pmetes of itesectios, tffic situtio. Due to this vibility gp ccepe pocess is coside s stochstic pocess d the citicl gps e dom vibles. The estimtio of citicl gps ties to fid out vlues fo the vibles d s well s fo the pmetes of thei distibutios, which epeset typicl dive behvio t the ivestigted itesectio. Figue 1. The citicl gp fo mio stem ight-tu vehicle I usiglized itesectio theoy it is geelly ssumed tht dives e both cosistet d homogeeous. Cosistet dives e expected to behve the sme wy evey time i ll simil situtios. This mes: dive with specific t c -vlue will eve ccept gp less th t c d he will ccept ech mjo stem gp lge th t c. Howeve, withi popultio of sevel dives, ech of which behves cosistet, diffeet dives could hve thei ow t c -vlue. These t c -vlues e the teted s dom vible with specil sttisticl desity fuctio f (td cumultive distibutio fuctio F (t. The popultio of dives is homogeeous if ech sub-goup of dives out of the popultio hs the sme fuctios f (td F (t. The poblem is tht the citicl gps cot be mesued diectly. Oly ejected gps d ccepted gps of ech mio stem vehicle c be mesued t the itesectio. The citicl gps c be estimted fom these iput dt usig some sttisticl method o pocedues. Fo the estimtio of citicl gps fom obsevtios thee methods e biefly descibed i this ticle d pplied i pcticl exmple method of Rff (1950, Mximum Likelihood Method (MLM of Toutbeck (1992 d method of Wu ( The Rff s Method The method of Rff (1950 is bsed o mcoscopic model d it is the eliest method fo estimtig the citicl gp which is used i my couties becuse of its simplicity. This method ivolves the empiicl distibutio fuctios of ccepted gps F (t d ejected gps F (t. Whe the sum of cumultive pobbilities of ccepted gps d ejected gps is equl to 1 the gp of legth tis equl to citicl gp t c. It mes the umbe of ejected gps lge th citicl gp is equl to the umbe of ccepted gps smlle th citicl gp. = 1. ( The Mximum Likelihood Method The model of Toutbeck (1992 fo estimtig citicl gps is bsed o the Mximum Likelihood Method (MLM. This micoscopic model ssumes the log-oml distibutio of ccepted d mximum ejected gps. I this model, oly the ccepted gp d the mximum ejected gp of ech vehicle e 21

3 Sessio 1. Sttistic Methods d Thei Applictios teted pi wise. Fo oe idividul mio steet dive i we hve obseved: oe ccepted gp i d oe coespodig the mximum ejected gp i. The mximum ejected gp is the lgest vlue of ll ejected gps fo oe mio steet dive. The MLM is bsed o the ssumptio tht mio stem dives behve cosistetly. It mes tht ech dive will eject evey gp smlle th his citicl gp d will ccept the fist gp lge th the citicl gp. Ude this ssumptio, the distibutio of the citicl gps lies betwee distibutios of lgest ejected d ccepted gps (see Figue 2. The pmetes of distibutio fuctio of the citicl gps, the me µ d vice σ 2, e obtied by mximizig the likelihood fuctio. The likelihood fuctio is defied s the pobbility tht the citicl gp distibutio lies betwee the obseved distibutio of the mximum ejected gps d the ccepted gps: [ F i F( i ] 1 (, (2 whee L mximum likelihood fuctio, i logithm of the ccepted gp of dive i, i logithm of the mximum ejected gp of dive i, F( i, F( i cumultive distibutio fuctios fo the oml distibutio. L = Figue 2. Theoeticl distibutio fuctio of ccepted gps F(t, mximum ejected gps F(t, d citicl gps F(t The logithm of fuctio (3 is s follows: 1 [ F( F( ] l. (3 i i Likelihood pmetes µ d σ 2 e solutios whe the ptil deivtive of equtio (4 is equl to 0. They c be simplified s follows: f ( i f ( i = 0 1 F( i F( i, (4 1 ( i µ. f ( i ( i µ. f ( i = 0 2 2σ 1 F( i F( i whee f( i, f( i pobbility desity fuctios fo the oml distibutio with pmetes µ d σ 2. Pmetes µ d σ 2 c be clculted by umeicl d itetio techiques [5]. Subsequetly the me E(t c d vice D(t c of citicl gp c be deived by equtios: 22

4 The 12 th Itetiol Cofeece RELIABILITY d STATISTICS i TRANSPORTATION d COMMUNICATION µ + 0,5σ E( t c = e. (5 2 2 σ D( = E(.( e 1. ( The Model Bsed o the Mcoscopic Pobbility Equilibium The theoeticl bckgoud of Wu s model [2] is the pobbility equilibium betwee the ejected d the ccepted gps. The equilibium is estblished mcoscopiclly fom the cumultive distibutio of the ejected d ccepted gps. The obseved pobbility tht gp of legth t is ccepted is F (t d tht it is ot-ccepted is 1 F (t. The obseved pobbility tht gp of legth t is ejected is F (t d tht it is ot-ejected is 1 F (t. Geelly F (t 1 F (t d 1 F (t F (t. Cosideig the obseved pobbility of both ccepe d ejectio, Wu s method is bsed o the followig pobbility equilibium: P, (,, t t = P ( t + P (. (7 Deote the distibutio fuctio of the citicl gps to be estimted by F (t, the the pobbility P, (t tht gp of legth t i the mjo stem would be ejected is F (t, d the pobbility tht it would be ccepted is 1 F (t. Substitutig P, (t=f (t d P, (t=1 F (t, fo Wu s model we hve the followig distibutio fuctio F (t of the citicl gps: 1 = = 1. (8 Fo implemetig the poposed mcoscopic model of Wu is detiled clcultio pocedue step by step give i [2]. This pocedue is esily implemeted ito Excel spedsheet. Accodig to Rff s defiitio fo the citicl gp (Equtio (1 it c be witte [2]: 1 = = 1. (9 It mes tht the citicl gp estimted fom Rff s method is the medi vlue but ot the me vlue of the citicl gp. 3. Pcticl Exmple of Estimtig the Citicl Gps 3.1. Results of Mesuemets Mesuemets wee cied out t the usiglized itesectios i Žili. All tffic stems t this itesectio wee video-ecoded. Subsequetly video-ecodigs wee pocessed by ow specific softwe (usig MATLAB.Time positio of ech vehicle o ceti poit (desiged lie coss the od ws ecoded i sped sheet MS Excel with ccucy 0,04 s (fme te of cme: 25 fmes pe sec.. Fo ech mio stem vehicle ws ecoded: ivl time, vehicle type, diectio d deptue time. Fo ech mjo stem vehicle ws ecoded: pssig time desiged lie coss the od, vehicle type d diectio. All dt wee pocessed. The ccepted d lgest ejected gps fo idividul mio stem vehicle wee detemied (fo ech mio stem septely. If dive fom mio stem ccepted the lg d did ot eject y time gp: lgest ejected time gp ws equl 0 s. Exmple of estimtig citicl gps of mio left-tu stem t usiglized itesectio i Žili (see Figue 3 by thee estimtig methods usig sttisticl techiques (Rff, MLM d Wu is give i this ticle. Tffic suvey ws cied out by video ecodig i duce oe hou (pek hou.all obseved iput dt ccepted d the mximum ejected gps fo ech mio stem left-tu vehicle e peseted o Figue 4. Two simples fo estimtig citicl gps hve bee give. I simple 1 thee e ot cosideed vehicles which hd the mximum ejected gp equl to zeo, so 80 couples of ccepted d mximum ejected gps wee deived fo estimtig citicl gp by ll thee methods. I simple 2 thee e lso cosideed vehicles which immeditely eteed to itesectio without witig d fo estimtig citicl gp wee deived 80 ejected gps d 103 elevt ccepted gps. Dt fom simple 2 wee used oly fo two mcoscopic methods of Rff d Wu, becuse of equiemet of MLM to hve couples of ccepted d mximum ejected gps fo estimtio of citicl gps. 23

5 Sessio 1. Sttistic Methods d Thei Applictios Figue 3. Moitoed usiglised itesectio i Žili Figue 4. Mesuemets of the mximum ejected gps d ccepted gps (Dt: Žili 2012, mio stem left-tu 3.2. Estimtio d Compiso of Citicl Gps Results of Rff s method The cuves of ccumultive pobbility of ccepted gps F (t d mximum ejected gps F (t e show o Figue 5. The citicl gp t c = 5,80 s is i coss poit of F (td 1 F (t. The citicl gp ws estimted by Rff s model lso cosideig ll ccepted gps fom iput dt (simple 2. Although distibutio fuctio F (t fo simple 2 is slightly diffeet to F (t fo simple 1, coss poit is i the sme gp time, the citicl gp t c = 5,80 s. Results of MLM of Toutbeck I ccodce with MLM of Toutbeck the pobbility desity fuctios of ccepted gps f( i d mximum ejected gps f( i, distibutio fuctios of ccepted gps F( i d mximum ejected gps F( i wee clculted fo ech logithm of ccepted gp i d logithm of mximum ejected gp i. The likelihood pmetes: the me µ d vice σ 2, wee obtied s solutio of two equtios (4 by itetio pocess. The itetio pocess ws pogmmed i Excel pogm. Vlues µ d σ 2 whee chged step by step util fuctios i equtio (4 ted to zeo. Filly the me E(t c = 6,04 s d vice D(t c = 5,38 s 2 of citicl gp wee deived by equtios (5 d (6. Figue 5. The citicl gp estimtio by Rff s method, distibutio fuctios of the mximum ejected gps F(t d ccepted gps F(t fo simple 1 d simple 2 24

6 The 12 th Itetiol Cofeece RELIABILITY d STATISTICS i TRANSPORTATION d COMMUNICATION Results of mcoscopic method of Wu The distibutio fuctios of ccepted gps F (t d mximum ejected gps F (t e show o Figue 6. The distibutio fuctio of citicl gp F (t ws clculted i ccodce with mcoscopic pobbility equilibium model of Wu by equtio (8 d the cuve of this fuctio lies betwee F (t d F (t. The me vlue of the citicl gp t c = 5,91 s d the vice σ 2 = 2,89 s 2 wee clculted. The medi vlue of the citicl gp ws lso clculted d its vlue is equl to Rff citicl gp (5,8 s. Fo compiso, distibutio fuctio of the estimted citicl gp fom MLM of Toutbeck F (t [MLM] is lso show o Figue 6. The citicl gp ws estimted by mcoscopic model of Wu lso cosideig ll ccepted gps fom iput dt (simple 2. The me vlue of the citicl gp t c = 5,60 s d the vice σ 2 = 3,34 s 2 wee clculted. Figue 6. Distibutio fuctios of the mximum ejected gps F(t, ccepted gps F(t, citicl gps fom the Wu s model F(t [Wu] d distibutio fuctio of the estimted citicl gp fom MLM of Toutbeck F(t [MLM] 4. Coclusios Mximum likelihood method of Toutbeck (1992 belogs to the most impott models fo estimtig the citicl gps d ccodig to [1] gives the best esults. The mcoscopic method of Wu (2006 gives simil esults fo the me citicl gps s tht fom ecogized MLM of Toutbeck (1992. I dditio, we c get ot oly the mi vlue of citicl gps but lso the medi vlue, which is the sme vlue s the esult of Rff s method. Also we c diectly get the pobbility distibutio fuctio of the citicl gps. Advtge of this method is simple clcultio pocedue without itetio s it is i the cse of the Toutbeck model (1992. It c be cied out usig spedsheet pogms, e.g. Excel, d theefoe it is vey useful fo pofessiols of tffic egieeig. I dditio, ot oly couples of ccepted d ejected gps e equied fo estimtio of citicl gps s i MLM of Toutbeck is equied. It c be used ll elevt ccepted d mximum ejected gps. I these cses the me citicl gp is shote. Refeeces 1. Bilo, W., Köig, R., Toutbeck, R. (1997. Useful Estimtio Pocedues fo Citicl Gps. I Poceedigs of the 3d Itetiol Symposium o Itesectios without Tffic Sigls, July 21-23, 1997 (pp Potld Oego, U.S.A: Uivesity of Idho, Ntiol Cete fo Advced Tspottio Techology. 2. Wu, N. (2006. A ew model fo estimtig citicl gp d its distibutio t usiglized itesectios bsed o the equilibium of pobbilities. I Poceedigs of the 5th Itetiol Symposium o Highwy Cpcity d Qulity of Sevices. July 25-29, Yokohm, Jp: Jp Society of Tffic Egiees. 3. Weiet, A. (2000. Estimtio of Citicl Gps d Follow-Up Times t Rul Usiglized Itesectios i Gemy. I Poceedigs of the 4th Itetiol Symposium o Highwy Cpcity. Jue 27 July 1, 2000 (pp Mui, Hwii: Tspot Resech Bod. 25

7 Sessio 1. Sttistic Methods d Thei Applictios 4. Guo, R. (2010. Estimtig Citicl Gp of Roudbouts by Diffeet Methods. I Poceedigs of the 6th Advced Foum o Tspottio of Chi Octobe 16, 2010 (pp Beijig, Chi: Cu Assocites, Ic. 5. Ti, Z., Vdehey, M., Robiso, B., Kittelso, W., Kyte, M., Toutbeck, R., Bilo, W., Wu, N. (1999. Implemetig the mximum likelihood methodology to mesue dive s citicl gp. Tspottio Resech, Pt A, 33, Ackowledgemets This cotibutio is esult of the poject s implemettio: Cete of Excellece fo Systems d Sevices of Itelliget Tspot II, ITMS suppoted by the Resech&Developmet Opetiol Pogmme fuded by the ERDF. "Podpoujeme výskumé ktivity Slovesku/Pojekt je spoluficový zozdojov EÚ" ("We suppot esech ctivities i Slovki / The Poject is co-fuded by the EU" 26

Expansion by Laguerre Function for Wave Diffraction around an Infinite Cylinder

Expansion by Laguerre Function for Wave Diffraction around an Infinite Cylinder Joul of Applied Mthemtics d Physics, 5, 3, 75-8 Published Olie Juy 5 i SciRes. http://www.scip.og/joul/jmp http://dx.doi.og/.436/jmp.5.3 Expsio by Lguee Fuctio fo Wve Diffctio oud Ifiite Cylide Migdog

More information

PROGRESSION AND SERIES

PROGRESSION AND SERIES INTRODUCTION PROGRESSION AND SERIES A gemet of umbes {,,,,, } ccodig to some well defied ule o set of ules is clled sequece Moe pecisely, we my defie sequece s fuctio whose domi is some subset of set of

More information

Mathematical Statistics

Mathematical Statistics 7 75 Ode Sttistics The ode sttistics e the items o the dom smple ed o odeed i mitude om the smllest to the lest Recetl the impotce o ode sttistics hs icesed owi to the moe equet use o opmetic ieeces d

More information

x a y n + b = 1 0<b a, n > 0 (1.1) x 1 - a y = b 0<b a, n > 0 (1.1') b n sin 2 + cos 2 = 1 x n = = cos 2 6 Superellipse (Lamé curve)

x a y n + b = 1 0<b a, n > 0 (1.1) x 1 - a y = b 0<b a, n > 0 (1.1') b n sin 2 + cos 2 = 1 x n = = cos 2 6 Superellipse (Lamé curve) 6 Supeellipse (Lmé cuve) 6. Equtios of supeellipse A supeellipse (hoizotlly log) is epessed s follows. Implicit Equtio y + b 0 0 (.) Eplicit Equtio y b - 0 0 (.') Whe 3, b, the supeellipses fo

More information

SOLUTIONS ( ) ( )! ( ) ( ) ( ) ( )! ( ) ( ) ( ) ( ) n r. r ( Pascal s equation ). n 1. Stepanov Dalpiaz

SOLUTIONS ( ) ( )! ( ) ( ) ( ) ( )! ( ) ( ) ( ) ( ) n r. r ( Pascal s equation ). n 1. Stepanov Dalpiaz STAT UIU Pctice Poblems # SOLUTIONS Stepov Dlpiz The followig e umbe of pctice poblems tht my be helpful fo completig the homewo, d will liely be vey useful fo studyig fo ems...-.-.- Pove (show) tht. (

More information

Simultaneous Estimation of Adjusted Rate of Two Factors Using Method of Direct Standardization

Simultaneous Estimation of Adjusted Rate of Two Factors Using Method of Direct Standardization Biometics & Biosttistics Itetiol Joul Simulteous Estimtio of Adjusted Rte of Two Fctos Usig Method of Diect Stddiztio Astct This ppe pesets the use of stddiztio o djustmet of tes d tios i compig two popultios

More information

Summary: Binomial Expansion...! r. where

Summary: Binomial Expansion...! r. where Summy: Biomil Epsio 009 M Teo www.techmejcmth-sg.wes.com ) Re-cp of Additiol Mthemtics Biomil Theoem... whee )!!(! () The fomul is ville i MF so studets do ot eed to memoise it. () The fomul pplies oly

More information

We show that every analytic function can be expanded into a power series, called the Taylor series of the function.

We show that every analytic function can be expanded into a power series, called the Taylor series of the function. 10 Lectue 8 We show tht evey lytic fuctio c be expded ito powe seies, clled the Tylo seies of the fuctio. Tylo s Theoem: Let f be lytic i domi D & D. The, f(z) c be expessed s the powe seies f( z) b (

More information

UNIT V: Z-TRANSFORMS AND DIFFERENCE EQUATIONS. Dr. V. Valliammal Department of Applied Mathematics Sri Venkateswara College of Engineering

UNIT V: Z-TRANSFORMS AND DIFFERENCE EQUATIONS. Dr. V. Valliammal Department of Applied Mathematics Sri Venkateswara College of Engineering UNIT V: -TRANSFORMS AND DIFFERENCE EQUATIONS D. V. Vllimml Deptmet of Applied Mthemtics Si Vektesw College of Egieeig TOPICS:. -Tsfoms Elemet popeties.. Ivese -Tsfom usig ptil fctios d esidues. Covolutio

More information

On Certain Classes of Analytic and Univalent Functions Based on Al-Oboudi Operator

On Certain Classes of Analytic and Univalent Functions Based on Al-Oboudi Operator Boig Itetiol Joul o t Miig, Vol, No, Jue 0 6 O Ceti Clsses o Alytic d Uivlet Fuctios Bsed o Al-Oboudi Opeto TV Sudhs d SP Viylkshmi Abstct--- Followig the woks o [, 4, 7, 9] o lytic d uivlet uctios i this

More information

A Study on the Relation between Alarm Deadbands and Optimal Alarm Limits *

A Study on the Relation between Alarm Deadbands and Optimal Alarm Limits * Ameic Cotol Cofeece o O'Fell Steet, S Fcisco, CA, USA Jue 9 - July, A Study o the Reltio betwee Alm Dedbds d Optiml Alm Limits * Elhm Nghoosi, Im Izdi, d Togwe Che Abstct- Usig lm dedbds is commo method

More information

Semiconductors materials

Semiconductors materials Semicoductos mteils Elemetl: Goup IV, Si, Ge Biy compouds: III-V (GAs,GSb, ISb, IP,...) IV-VI (PbS, PbSe, PbTe,...) II-VI (CdSe, CdTe,...) Tey d Qutey compouds: G x Al -x As, G x Al -x As y P -y III IV

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Fobeius ethod pplied to Bessel s Equtio Octobe, 7 Fobeius ethod pplied to Bessel s Equtio L Cetto Mechicl Egieeig 5B Sei i Egieeig lsis Octobe, 7 Outlie Review idte Review lst lectue Powe seies solutios/fobeius

More information

Taylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best

Taylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best Tylor Polyomils Let f () = e d let p() = 1 + + 1 + 1 6 3 Without usig clcultor, evlute f (1) d p(1) Ok, I m still witig With little effort it is possible to evlute p(1) = 1 + 1 + 1 (144) + 6 1 (178) =

More information

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right:

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right: Week 1 Notes: 1) Riem Sum Aim: Compute Are Uder Grph Suppose we wt to fid out the re of grph, like the oe o the right: We wt to kow the re of the red re. Here re some wys to pproximte the re: We cut the

More information

1.3 Continuous Functions and Riemann Sums

1.3 Continuous Functions and Riemann Sums mth riem sums, prt 0 Cotiuous Fuctios d Riem Sums I Exmple we sw tht lim Lower() = lim Upper() for the fuctio!! f (x) = + x o [0, ] This is o ccidet It is exmple of the followig theorem THEOREM Let f be

More information

Pearson Edexcel Level 3 Advanced Subsidiary and Advanced GCE Mathematics and Further Mathematics

Pearson Edexcel Level 3 Advanced Subsidiary and Advanced GCE Mathematics and Further Mathematics Peso Edecel Level 3 Advced Subsidiy d Advced GCE Mthemtics d Futhe Mthemtics Mthemticl fomule d sttisticl tbles Fo fist cetifictio fom Jue 08 fo: Advced Subsidiy GCE i Mthemtics (8MA0) Advced GCE i Mthemtics

More information

Convergence rates of approximate sums of Riemann integrals

Convergence rates of approximate sums of Riemann integrals Jourl of Approximtio Theory 6 (9 477 49 www.elsevier.com/locte/jt Covergece rtes of pproximte sums of Riem itegrls Hiroyuki Tski Grdute School of Pure d Applied Sciece, Uiversity of Tsukub, Tsukub Ibrki

More information

DRAFT. Formulae and Statistical Tables for A-level Mathematics SPECIMEN MATERIAL. First Issued September 2017

DRAFT. Formulae and Statistical Tables for A-level Mathematics SPECIMEN MATERIAL. First Issued September 2017 Fist Issued Septembe 07 Fo the ew specifictios fo fist techig fom Septembe 07 SPECIMEN MATERIAL Fomule d Sttisticl Tbles fo A-level Mthemtics AS MATHEMATICS (7356) A-LEVEL MATHEMATICS (7357) AS FURTHER

More information

MATH Midterm Solutions

MATH Midterm Solutions MATH 2113 - Midtem Solutios Febuay 18 1. A bag of mables cotais 4 which ae ed, 4 which ae blue ad 4 which ae gee. a How may mables must be chose fom the bag to guaatee that thee ae the same colou? We ca

More information

Pearson Edexcel Level 3 Advanced Subsidiary and Advanced GCE Mathematics and Further Mathematics

Pearson Edexcel Level 3 Advanced Subsidiary and Advanced GCE Mathematics and Further Mathematics Peso Edecel Level Advced Subsidiy d Advced GCE Mthemtics d Futhe Mthemtics Mthemticl fomule d sttisticl tbles Fo fist cetifictio fom Jue 08 fo: Advced Subsidiy GCE i Mthemtics (8MA0) Advced GCE i Mthemtics

More information

Vectors. Vectors in Plane ( 2

Vectors. Vectors in Plane ( 2 Vectors Vectors i Ple ( ) The ide bout vector is to represet directiol force Tht mes tht every vector should hve two compoets directio (directiol slope) d mgitude (the legth) I the ple we preset vector

More information

Mapping Radius of Regular Function and Center of Convex Region. Duan Wenxi

Mapping Radius of Regular Function and Center of Convex Region. Duan Wenxi d Iteatioal Cofeece o Electical Compute Egieeig ad Electoics (ICECEE 5 Mappig adius of egula Fuctio ad Cete of Covex egio Dua Wexi School of Applied Mathematics Beijig Nomal Uivesity Zhuhai Chia 363463@qqcom

More information

Section 6.3: Geometric Sequences

Section 6.3: Geometric Sequences 40 Chpter 6 Sectio 6.: Geometric Sequeces My jobs offer ul cost-of-livig icrese to keep slries cosistet with ifltio. Suppose, for exmple, recet college grdute fids positio s sles mger erig ul slry of $6,000.

More information

MA123, Chapter 9: Computing some integrals (pp )

MA123, Chapter 9: Computing some integrals (pp ) MA13, Chpter 9: Computig some itegrls (pp. 189-05) Dte: Chpter Gols: Uderstd how to use bsic summtio formuls to evlute more complex sums. Uderstd how to compute its of rtiol fuctios t ifiity. Uderstd how

More information

«A first lesson on Mathematical Induction»

«A first lesson on Mathematical Induction» Bcgou ifotio: «A fist lesso o Mtheticl Iuctio» Mtheticl iuctio is topic i H level Mthetics It is useful i Mtheticl copetitios t ll levels It hs bee coo sight tht stuets c out the poof b theticl iuctio,

More information

Advanced Higher Maths: Formulae

Advanced Higher Maths: Formulae : Fomule Gee (G): Fomule you bsolutely must memoise i ode to pss Advced Highe mths. Remembe you get o fomul sheet t ll i the em! Ambe (A): You do t hve to memoise these fomule, s it is possible to deive

More information

Some Integral Mean Estimates for Polynomials

Some Integral Mean Estimates for Polynomials Iteatioal Mathematical Foum, Vol. 8, 23, o., 5-5 HIKARI Ltd, www.m-hikai.com Some Itegal Mea Estimates fo Polyomials Abdullah Mi, Bilal Ahmad Da ad Q. M. Dawood Depatmet of Mathematics, Uivesity of Kashmi

More information

Using Difference Equations to Generalize Results for Periodic Nested Radicals

Using Difference Equations to Generalize Results for Periodic Nested Radicals Usig Diffeece Equatios to Geealize Results fo Peiodic Nested Radicals Chis Lyd Uivesity of Rhode Islad, Depatmet of Mathematics South Kigsto, Rhode Islad 2 2 2 2 2 2 2 π = + + +... Vieta (593) 2 2 2 =

More information

Advanced Higher Maths: Formulae

Advanced Higher Maths: Formulae Advced Highe Mths: Fomule Advced Highe Mthemtics Gee (G): Fomule you solutely must memoise i ode to pss Advced Highe mths. Rememe you get o fomul sheet t ll i the em! Ame (A): You do t hve to memoise these

More information

0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k.

0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k. . Computtio of Fourier Series I this sectio, we compute the Fourier coefficiets, f ( x) cos( x) b si( x) d b, i the Fourier series To do this, we eed the followig result o the orthogolity of the trigoometric

More information

Data Association Algorithm in TBD Multiradar System

Data Association Algorithm in TBD Multiradar System Dt Associtio Algoithm i TBD Multid System Ch. Kbkchiev 1, I. Gvov 2, L. Doukovsk 2, V. Kyovtoov 2, H. Rohlig 3 1 Fculty of Mthemtics & Ifomtics, Sofi Uivesity, Jmes Bouchie St., 5, 1164 Sofi, Bulgi e-mil:

More information

B. Examples 1. Finite Sums finite sums are an example of Riemann Sums in which each subinterval has the same length and the same x i

B. Examples 1. Finite Sums finite sums are an example of Riemann Sums in which each subinterval has the same length and the same x i Mth 06 Clculus Sec. 5.: The Defiite Itegrl I. Riem Sums A. Def : Give y=f(x):. Let f e defied o closed itervl[,].. Prtitio [,] ito suitervls[x (i-),x i ] of legth Δx i = x i -x (i-). Let P deote the prtitio

More information

1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2

1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2 Mth 3, Clculus II Fil Exm Solutios. (5 poits) Use the limit defiitio of the defiite itegrl d the sum formuls to compute 3 x + x. Check your swer by usig the Fudmetl Theorem of Clculus. Solutio: The limit

More information

NS-IBTS indices calculation procedure

NS-IBTS indices calculation procedure ICES Dt Cente DATRAS 1.1 NS-IBTS indices 2013 DATRAS Pocedue Document NS-IBTS indices clcultion pocedue Contents Genel... 2 I Rw ge dt CA -> Age-length key by RFA fo defined ge nge ALK... 4 II Rw length

More information

On composite conformal mapping of an annulus to a plane with two holes

On composite conformal mapping of an annulus to a plane with two holes O composite cofomal mappig of a aulus to a plae with two holes Mila Batista (July 07) Abstact I the aticle we coside the composite cofomal map which maps aulus to ifiite egio with symmetic hole ad ealy

More information

Induction. Induction and Recursion. Induction is a very useful proof technique

Induction. Induction and Recursion. Induction is a very useful proof technique Iductio Iductio is vey useul poo techique Iductio d Recusio CSC-59 Discete Stuctues I compute sciece, iductio is used to pove popeties o lgoithms Iductio d ecusio e closely elted Recusio is desciptio method

More information

BINOMIAL THEOREM SOLUTION. 1. (D) n. = (C 0 + C 1 x +C 2 x C n x n ) (1+ x+ x 2 +.)

BINOMIAL THEOREM SOLUTION. 1. (D) n. = (C 0 + C 1 x +C 2 x C n x n ) (1+ x+ x 2 +.) BINOMIAL THEOREM SOLUTION. (D) ( + + +... + ) (+ + +.) The coefficiet of + + + +... + fo. Moeove coefficiet of is + + + +... + if >. So. (B)... e!!!! The equied coefficiet coefficiet of i e -.!...!. (A),

More information

ON THE YULE WALKER EQUATIONS FOR THE ALL-POLE COEFFICIENTS

ON THE YULE WALKER EQUATIONS FOR THE ALL-POLE COEFFICIENTS ON HE YULE WALKER EQUAIONS FOR HE ALL-POLE COEFFICIENS Ad Al-Smdi Deptmet of Electoics Egieeig Ymouk Uivesity Ibid, Jod smdi98@yhoo.com ABSRAC I this ppe, method fo estimtig the coefficiets of ll-pole

More information

z line a) Draw the single phase equivalent circuit. b) Calculate I BC.

z line a) Draw the single phase equivalent circuit. b) Calculate I BC. ECE 2260 F 08 HW 7 prob 4 solutio EX: V gyb' b' b B V gyc' c' c C = 101 0 V = 1 + j0.2 Ω V gyb' = 101 120 V = 6 + j0. Ω V gyc' = 101 +120 V z LΔ = 9 j1.5 Ω ) Drw the sigle phse equivlet circuit. b) Clculte

More information

Approximate Integration

Approximate Integration Study Sheet (7.7) Approimte Itegrtio I this sectio, we will ler: How to fid pproimte vlues of defiite itegrls. There re two situtios i which it is impossile to fid the ect vlue of defiite itegrl. Situtio:

More information

Pearson Edexcel Level 3 Advanced Subsidiary and Advanced GCE Mathematics and Further Mathematics

Pearson Edexcel Level 3 Advanced Subsidiary and Advanced GCE Mathematics and Further Mathematics Peso Edecel Level Advced Subsidiy d Advced GCE Mthemtics d Futhe Mthemtics Mthemticl fomule d sttisticl tbles Fo fist cetifictio fom Jue 08 fo: Advced Subsidiy GCE i Mthemtics (8MA0) Advced GCE i Mthemtics

More information

SOME SHARP OSTROWSKI-GRÜSS TYPE INEQUALITIES

SOME SHARP OSTROWSKI-GRÜSS TYPE INEQUALITIES Uiv. Beogrd. Publ. Elektroteh. Fk. Ser. Mt. 8 006 4. Avilble electroiclly t http: //pefmth.etf.bg.c.yu SOME SHARP OSTROWSKI-GRÜSS TYPE INEQUALITIES Zheg Liu Usig vrit of Grüss iequlity to give ew proof

More information

INFINITE SERIES. ,... having infinite number of terms is called infinite sequence and its indicated sum, i.e., a 1

INFINITE SERIES. ,... having infinite number of terms is called infinite sequence and its indicated sum, i.e., a 1 Appedix A.. Itroductio As discussed i the Chpter 9 o Sequeces d Series, sequece,,...,,... hvig ifiite umber of terms is clled ifiite sequece d its idicted sum, i.e., + + +... + +... is clled ifite series

More information

SULIT 3472/2. Rumus-rumus berikut boleh membantu anda menjawab soalan. Simbol-simbol yang diberi adalah yang biasa digunakan.

SULIT 3472/2. Rumus-rumus berikut boleh membantu anda menjawab soalan. Simbol-simbol yang diberi adalah yang biasa digunakan. SULT 347/ Rumus-umus eikut oleh memtu d mejw sol. Simol-simol yg diei dlh yg is diguk. LGER. 4c x 5. log m log m log 9. T d. m m m 6. log = log m log 0. S d m m 3. 7. log m log m. S, m m logc 4. 8. log.

More information

Using Counting Techniques to Determine Probabilities

Using Counting Techniques to Determine Probabilities Kowledge ticle: obability ad Statistics Usig outig Techiques to Detemie obabilities Tee Diagams ad the Fudametal outig iciple impotat aspect of pobability theoy is the ability to detemie the total umbe

More information

Supplementary materials. Suzuki reaction: mechanistic multiplicity versus exclusive homogeneous or exclusive heterogeneous catalysis

Supplementary materials. Suzuki reaction: mechanistic multiplicity versus exclusive homogeneous or exclusive heterogeneous catalysis Geeal Pape ARKIVOC 009 (xi 85-03 Supplemetay mateials Suzui eactio: mechaistic multiplicity vesus exclusive homogeeous o exclusive heteogeeous catalysis Aa A. Kuohtia, Alexade F. Schmidt* Depatmet of Chemisty

More information

On the k-lucas Numbers of Arithmetic Indexes

On the k-lucas Numbers of Arithmetic Indexes Alied Mthetics 0 3 0-06 htt://d.doi.og/0.436/.0.307 Published Olie Octobe 0 (htt://www.scirp.og/oul/) O the -ucs Nubes of Aithetic Idees Segio lco Detet of Mthetics d Istitute fo Alied Micoelectoics (IUMA)

More information

On the relation between tonal and broadband content of hull pressure spectra due to cavitating ship propellers

On the relation between tonal and broadband content of hull pressure spectra due to cavitating ship propellers Joul of Physics: Cofeece Seies PAPER OPEN ACCESS O the eltio betwee tol d bodbd cotet of hull pessue spect due to cvittig ship popelles To cite this ticle: J Bossches 015 J. Phys.: Cof. Se. 656 01101 View

More information

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method

CHAPTER 5 : SERIES. 5.2 The Sum of a Series Sum of Power of n Positive Integers Sum of Series of Partial Fraction Difference Method CHAPTER 5 : SERIES 5.1 Seies 5. The Sum of a Seies 5..1 Sum of Powe of Positive Iteges 5.. Sum of Seies of Patial Factio 5..3 Diffeece Method 5.3 Test of covegece 5.3.1 Divegece Test 5.3. Itegal Test 5.3.3

More information

SOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES

SOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES #A17 INTEGERS 9 2009), 181-190 SOME ARITHMETIC PROPERTIES OF OVERPARTITION K -TUPLES Deick M. Keiste Depatmet of Mathematics, Pe State Uivesity, Uivesity Pak, PA 16802 dmk5075@psu.edu James A. Selles Depatmet

More information

Convergence rates of approximate sums of Riemann integrals

Convergence rates of approximate sums of Riemann integrals Covergece rtes of pproximte sums of Riem itegrls Hiroyuki Tski Grdute School of Pure d Applied Sciece, Uiversity of Tsuku Tsuku Irki 5-857 Jp tski@mth.tsuku.c.jp Keywords : covergece rte; Riem sum; Riem

More information

International Journal of Performability Engineering Vol. 11, No. 1, January 2015, pp RAMS Consultants Printed in India

International Journal of Performability Engineering Vol. 11, No. 1, January 2015, pp RAMS Consultants Printed in India Itetiol Joul of Pefombility Egieeig Vol. No. Juy 05 pp. 7-80. RAMS Cosultts Pited i Idi Optimum Time-Cesoed Step-Stess PALTSP with Competig Cuses of Filue Usig Tmpeed Filue Rte Model PREETI WANTI SRIVASTAVA

More information

Minimal order perfect functional observers for singular linear systems

Minimal order perfect functional observers for singular linear systems Miimal ode efect fuctioal obseves fo sigula liea systems Tadeusz aczoek Istitute of Cotol Idustial lectoics Wasaw Uivesity of Techology, -66 Waszawa, oszykowa 75, POLAND Abstact. A ew method fo desigig

More information

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences

By the end of this section you will be able to prove the Chinese Remainder Theorem apply this theorem to solve simultaneous linear congruences Chapte : Theoy of Modula Aithmetic 8 Sectio D Chiese Remaide Theoem By the ed of this sectio you will be able to pove the Chiese Remaide Theoem apply this theoem to solve simultaeous liea cogueces The

More information

Multi-Electron Atoms-Helium

Multi-Electron Atoms-Helium Multi-lecto Atos-Heliu He - se s H but with Z He - electos. No exct solutio of.. but c use H wve fuctios d eegy levels s sttig poit ucleus sceeed d so Zeffective is < sceeig is ~se s e-e epulsio fo He,

More information

=> PARALLEL INTERCONNECTION. Basic Properties LTI Systems. The Commutative Property. Convolution. The Commutative Property. The Distributive Property

=> PARALLEL INTERCONNECTION. Basic Properties LTI Systems. The Commutative Property. Convolution. The Commutative Property. The Distributive Property Lier Time-Ivrit Bsic Properties LTI The Commuttive Property The Distributive Property The Associtive Property Ti -6.4 / Chpter Covolutio y ] x ] ] x ]* ] x ] ] y] y ( t ) + x( τ ) h( t τ ) dτ x( t) * h(

More information

I. Exponential Function

I. Exponential Function MATH & STAT Ch. Eoetil Fuctios JCCSS I. Eoetil Fuctio A. Defiitio f () =, whee ( > 0 ) d is the bse d the ideedet vible is the eoet. [ = 1 4 4 4L 4 ] ties (Resf () = is owe fuctio i which the bse is the

More information

THE ANALYSIS OF SOME MODELS FOR CLAIM PROCESSING IN INSURANCE COMPANIES

THE ANALYSIS OF SOME MODELS FOR CLAIM PROCESSING IN INSURANCE COMPANIES Please cite this atle as: Mhal Matalyck Tacaa Romaiuk The aalysis of some models fo claim pocessig i isuace compaies Scietif Reseach of the Istitute of Mathemats ad Compute Sciece 004 Volume 3 Issue pages

More information

Parametric Methods. Autoregressive (AR) Moving Average (MA) Autoregressive - Moving Average (ARMA) LO-2.5, P-13.3 to 13.4 (skip

Parametric Methods. Autoregressive (AR) Moving Average (MA) Autoregressive - Moving Average (ARMA) LO-2.5, P-13.3 to 13.4 (skip Pmeti Methods Autoegessive AR) Movig Avege MA) Autoegessive - Movig Avege ARMA) LO-.5, P-3.3 to 3.4 si 3.4.3 3.4.5) / Time Seies Modes Time Seies DT Rdom Sig / Motivtio fo Time Seies Modes Re the esut

More information

( ) D x ( s) if r s (3) ( ) (6) ( r) = d dr D x

( ) D x ( s) if r s (3) ( ) (6) ( r) = d dr D x SIO 22B, Rudnick dpted fom Dvis III. Single vile sttistics The next few lectues e intended s eview of fundmentl sttistics. The gol is to hve us ll speking the sme lnguge s we move to moe dvnced topics.

More information

POWER SERIES R. E. SHOWALTER

POWER SERIES R. E. SHOWALTER POWER SERIES R. E. SHOWALTER. sequeces We deote by lim = tht the limit of the sequece { } is the umber. By this we me tht for y ε > 0 there is iteger N such tht < ε for ll itegers N. This mkes precise

More information

PROGRESSIONS AND SERIES

PROGRESSIONS AND SERIES PROGRESSIONS AND SERIES A sequece is lso clled progressio. We ow study three importt types of sequeces: () The Arithmetic Progressio, () The Geometric Progressio, () The Hrmoic Progressio. Arithmetic Progressio.

More information

2.Decision Theory of Dependence

2.Decision Theory of Dependence .Deciio Theoy of Depedece Theoy :I et of vecto if thee i uet which i liely depedet the whole et i liely depedet too. Coolly :If the et i liely idepedet y oepty uet of it i liely idepedet. Theoy : Give

More information

Review of Sections

Review of Sections Review of Sectios.-.6 Mrch 24, 204 Abstrct This is the set of otes tht reviews the mi ides from Chpter coverig sequeces d series. The specific sectios tht we covered re s follows:.: Sequces..2: Series,

More information

For this purpose, we need the following result:

For this purpose, we need the following result: 9 Lectue Sigulities of omplex Fuctio A poit is clled sigulity of fuctio f ( z ) if f ( z ) is ot lytic t the poit. A sigulity is clled isolted sigulity of f ( z ), if f ( z ) is lytic i some puctued disk

More information

Counting Functions and Subsets

Counting Functions and Subsets CHAPTER 1 Coutig Fuctios ad Subsets This chapte of the otes is based o Chapte 12 of PJE See PJE p144 Hee ad below, the efeeces to the PJEccles book ae give as PJE The goal of this shot chapte is to itoduce

More information

Advanced Physical Geodesy

Advanced Physical Geodesy Supplemetal Notes Review of g Tems i Moitz s Aalytic Cotiuatio Method. Advaced hysical Geodesy GS887 Chistophe Jekeli Geodetic Sciece The Ohio State Uivesity 5 South Oval Mall Columbus, OH 4 7 The followig

More information

On ARMA(1,q) models with bounded and periodically correlated solutions

On ARMA(1,q) models with bounded and periodically correlated solutions Reseach Repot HSC/03/3 O ARMA(,q) models with bouded ad peiodically coelated solutios Aleksade Weo,2 ad Agieszka Wy oma ska,2 Hugo Steihaus Cete, Woc aw Uivesity of Techology 2 Istitute of Mathematics,

More information

Technical Report: Bessel Filter Analysis

Technical Report: Bessel Filter Analysis Sasa Mahmoodi 1 Techical Repot: Bessel Filte Aalysis 1 School of Electoics ad Compute Sciece, Buildig 1, Southampto Uivesity, Southampto, S17 1BJ, UK, Email: sm3@ecs.soto.ac.uk I this techical epot, we

More information

Strong Result for Level Crossings of Random Polynomials

Strong Result for Level Crossings of Random Polynomials IOSR Joual of haacy ad Biological Scieces (IOSR-JBS) e-issn:78-8, p-issn:19-7676 Volue 11, Issue Ve III (ay - Ju16), 1-18 wwwiosjoualsog Stog Result fo Level Cossigs of Rado olyoials 1 DKisha, AK asigh

More information

DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING FLUID MECHANICS III Solutions to Problem Sheet 3

DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING FLUID MECHANICS III Solutions to Problem Sheet 3 DEPATMENT OF CIVIL AND ENVIONMENTAL ENGINEEING FLID MECHANICS III Solutions to Poblem Sheet 3 1. An tmospheic vote is moelle s combintion of viscous coe otting s soli boy with ngul velocity Ω n n iottionl

More information

Remarks: (a) The Dirac delta is the function zero on the domain R {0}.

Remarks: (a) The Dirac delta is the function zero on the domain R {0}. Sectio Objective(s): The Dirc s Delt. Mi Properties. Applictios. The Impulse Respose Fuctio. 4.4.. The Dirc Delt. 4.4. Geerlized Sources Defiitio 4.4.. The Dirc delt geerlized fuctio is the limit δ(t)

More information

Math 7409 Homework 2 Fall from which we can calculate the cycle index of the action of S 5 on pairs of vertices as

Math 7409 Homework 2 Fall from which we can calculate the cycle index of the action of S 5 on pairs of vertices as Math 7409 Hoewok 2 Fall 2010 1. Eueate the equivalece classes of siple gaphs o 5 vetices by usig the patte ivetoy as a guide. The cycle idex of S 5 actig o 5 vetices is 1 x 5 120 1 10 x 3 1 x 2 15 x 1

More information

2012 GCE A Level H2 Maths Solution Paper Let x,

2012 GCE A Level H2 Maths Solution Paper Let x, GCE A Level H Maths Solutio Pape. Let, y ad z be the cost of a ticet fo ude yeas, betwee ad 5 yeas, ad ove 5 yeas categoies espectively. 9 + y + 4z =. 7 + 5y + z = 8. + 4y + 5z = 58.5 Fo ude, ticet costs

More information

We will begin by supplying the proof to (a).

We will begin by supplying the proof to (a). (The solutios of problem re mostly from Jeffrey Mudrock s HWs) Problem 1. There re three sttemet from Exmple 5.4 i the textbook for which we will supply proofs. The sttemets re the followig: () The spce

More information

Chapter 7 Infinite Series

Chapter 7 Infinite Series MA Ifiite Series Asst.Prof.Dr.Supree Liswdi Chpter 7 Ifiite Series Sectio 7. Sequece A sequece c be thought of s list of umbers writte i defiite order:,,...,,... 2 The umber is clled the first term, 2

More information

The Pigeonhole Principle 3.4 Binomial Coefficients

The Pigeonhole Principle 3.4 Binomial Coefficients Discete M athematic Chapte 3: Coutig 3. The Pigeohole Piciple 3.4 Biomial Coefficiets D Patic Cha School of Compute Sciece ad Egieeig South Chia Uivesity of Techology Ageda Ch 3. The Pigeohole Piciple

More information

ANSWER KEY PHYSICS. Workdone X

ANSWER KEY PHYSICS. Workdone X ANSWER KEY PHYSICS 6 6 6 7 7 7 9 9 9 0 0 0 CHEMISTRY 6 6 6 7 7 7 9 9 9 0 0 60 MATHEMATICS 6 66 7 76 6 6 67 7 77 7 6 6 7 7 6 69 7 79 9 6 70 7 0 90 PHYSICS F L l. l A Y l A ;( A R L L A. W = (/ lod etesio

More information

FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx),

FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx), FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES To -periodic fuctio f() we will ssocite trigoometric series + cos() + b si(), or i terms of the epoetil e i, series of the form c e i. Z For most of the

More information

PROBLEMS AND PROPERTIES OF A NEW DIFFERENTIAL OPERATOR (Masalah dan Sifat-sifat suatu Pengoperasi Pembeza Baharu)

PROBLEMS AND PROPERTIES OF A NEW DIFFERENTIAL OPERATOR (Masalah dan Sifat-sifat suatu Pengoperasi Pembeza Baharu) Joul of Qulity Mesuemet d Alysis JQMA 7 0 4-5 Jul Peguu Kuliti d Alisis PROBLEMS AND PROPERTIES OF A NEW DIFFERENTIAL OPERATOR Mslh d Sift-sift sutu Pegopesi Peme Bhu MASLINA DARUS & IMRAN FAISAL ABSTRACT

More information

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before 8.1 Arc Legth Wht is the legth of curve? How c we pproximte it? We could do it followig the ptter we ve used efore Use sequece of icresigly short segmets to pproximte the curve: As the segmets get smller

More information

INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)

INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS) Mthemtics Revisio Guides Itegrtig Trig, Log d Ep Fuctios Pge of MK HOME TUITION Mthemtics Revisio Guides Level: AS / A Level AQA : C Edecel: C OCR: C OCR MEI: C INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)

More information

Fluids & Bernoulli s Equation. Group Problems 9

Fluids & Bernoulli s Equation. Group Problems 9 Goup Poblems 9 Fluids & Benoulli s Eqution Nme This is moe tutoil-like thn poblem nd leds you though conceptul development of Benoulli s eqution using the ides of Newton s 2 nd lw nd enegy. You e going

More information

SPA7010U/SPA7010P: THE GALAXY. Solutions for Coursework 1. Questions distributed on: 25 January 2018.

SPA7010U/SPA7010P: THE GALAXY. Solutions for Coursework 1. Questions distributed on: 25 January 2018. SPA7U/SPA7P: THE GALAXY Solutions fo Cousewok Questions distibuted on: 25 Jnuy 28. Solution. Assessed question] We e told tht this is fint glxy, so essentilly we hve to ty to clssify it bsed on its spectl

More information

Previously. Extensions to backstepping controller designs. Tracking using backstepping Suppose we consider the general system

Previously. Extensions to backstepping controller designs. Tracking using backstepping Suppose we consider the general system 436-459 Advnced contol nd utomtion Extensions to bckstepping contolle designs Tcking Obseves (nonline dmping) Peviously Lst lectue we looked t designing nonline contolles using the bckstepping technique

More information

MAS221 Analysis, Semester 2 Exercises

MAS221 Analysis, Semester 2 Exercises MAS22 Alysis, Semester 2 Exercises Srh Whitehouse (Exercises lbelled * my be more demdig.) Chpter Problems: Revisio Questio () Stte the defiitio of covergece of sequece of rel umbers, ( ), to limit. (b)

More information

Optimization. x = 22 corresponds to local maximum by second derivative test

Optimization. x = 22 corresponds to local maximum by second derivative test Optimiztion Lectue 17 discussed the exteme vlues of functions. This lectue will pply the lesson fom Lectue 17 to wod poblems. In this section, it is impotnt to emembe we e in Clculus I nd e deling one-vible

More information

Presentation for use with the textbook, Algorithm Design and Applications, by M. T. Goodrich and R. Tamassia, Wiley, Divide-and-Conquer

Presentation for use with the textbook, Algorithm Design and Applications, by M. T. Goodrich and R. Tamassia, Wiley, Divide-and-Conquer Presettio for use with the textook, Algorithm Desig d Applictios, y M. T. Goodrich d R. Tmssi, Wiley, 25 Divide-d-Coquer Divide-d-Coquer Divide-d coquer is geerl lgorithm desig prdigm: Divide: divide the

More information

THE ANALYTIC LARGE SIEVE

THE ANALYTIC LARGE SIEVE THE ANALYTIC LAGE SIEVE 1. The aalytic lage sieve I the last lectue we saw how to apply the aalytic lage sieve to deive a aithmetic fomulatio of the lage sieve, which we applied to the poblem of boudig

More information

Chapter 7. Kleene s Theorem. 7.1 Kleene s Theorem. The following theorem is the most important and fundamental result in the theory of FA s:

Chapter 7. Kleene s Theorem. 7.1 Kleene s Theorem. The following theorem is the most important and fundamental result in the theory of FA s: Chpte 7 Kleene s Theoem 7.1 Kleene s Theoem The following theoem is the most impotnt nd fundmentl esult in the theoy of FA s: Theoem 6 Any lnguge tht cn e defined y eithe egul expession, o finite utomt,

More information

INTEGRATION IN THEORY

INTEGRATION IN THEORY CHATER 5 INTEGRATION IN THEORY 5.1 AREA AROXIMATION 5.1.1 SUMMATION NOTATION Fibocci Sequece First, exmple of fmous sequece of umbers. This is commoly ttributed to the mthemtici Fibocci of is, lthough

More information

Ch 3.4 Binomial Coefficients. Pascal's Identit y and Triangle. Chapter 3.2 & 3.4. South China University of Technology

Ch 3.4 Binomial Coefficients. Pascal's Identit y and Triangle. Chapter 3.2 & 3.4. South China University of Technology Disc ete Mathem atic Chapte 3: Coutig 3. The Pigeohole Piciple 3.4 Biomial Coefficiets D Patic Cha School of Compute Sciece ad Egieeig South Chia Uivesity of Techology Pigeohole Piciple Suppose that a

More information

( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to

( ) 1 Comparison Functions. α is strictly increasing since ( r) ( r ) α = for any positive real number c. = 0. It is said to belong to Compaiso Fuctios I this lesso, we study stability popeties of the oautoomous system = f t, x The difficulty is that ay solutio of this system statig at x( t ) depeds o both t ad t = x Thee ae thee special

More information

On a Problem of Littlewood

On a Problem of Littlewood Ž. JOURAL OF MATHEMATICAL AALYSIS AD APPLICATIOS 199, 403 408 1996 ARTICLE O. 0149 O a Poblem of Littlewood Host Alze Mosbache Stasse 10, 51545 Waldbol, Gemay Submitted by J. L. Bee Received May 19, 1995

More information

Similar idea to multiplication in N, C. Divide and conquer approach provides unexpected improvements. Naïve matrix multiplication

Similar idea to multiplication in N, C. Divide and conquer approach provides unexpected improvements. Naïve matrix multiplication Next. Covered bsics of simple desig techique (Divided-coquer) Ch. of the text.. Next, Strsse s lgorithm. Lter: more desig d coquer lgorithms: MergeSort. Solvig recurreces d the Mster Theorem. Similr ide

More information

Chapter 2 Infinite Series Page 1 of 9

Chapter 2 Infinite Series Page 1 of 9 Chpter Ifiite eries Pge of 9 Chpter : Ifiite eries ectio A Itroductio to Ifiite eries By the ed of this sectio you will be ble to uderstd wht is met by covergece d divergece of ifiite series recogise geometric

More information

The Application of a Maximum Likelihood Approach to an Accelerated Life Testing with an Underlying Three- Parameter Weibull Model

The Application of a Maximum Likelihood Approach to an Accelerated Life Testing with an Underlying Three- Parameter Weibull Model Iteatioal Joual of Pefomability Egieeig Vol. 4, No. 3, July 28, pp. 233-24. RAMS Cosultats Pited i Idia The Applicatio of a Maximum Likelihood Appoach to a Acceleated Life Testig with a Udelyig Thee- Paamete

More information

SOME REMARKS ON HORIZONTAL, SLANT, PARABOLIC AND POLYNOMIAL ASYMPTOTE

SOME REMARKS ON HORIZONTAL, SLANT, PARABOLIC AND POLYNOMIAL ASYMPTOTE D I D A C T I C S O F A T H E A T I C S No (4) 3 SOE REARKS ON HORIZONTAL, SLANT, PARABOLIC AND POLYNOIAL ASYPTOTE Tdeusz Jszk Abstct I the techg o clculus, we cosde hozotl d slt symptote I ths ppe the

More information

Strong Result for Level Crossings of Random Polynomials. Dipty Rani Dhal, Dr. P. K. Mishra. Department of Mathematics, CET, BPUT, BBSR, ODISHA, INDIA

Strong Result for Level Crossings of Random Polynomials. Dipty Rani Dhal, Dr. P. K. Mishra. Department of Mathematics, CET, BPUT, BBSR, ODISHA, INDIA Iteatioal Joual of Reseach i Egieeig ad aageet Techology (IJRET) olue Issue July 5 Available at http://wwwijetco/ Stog Result fo Level Cossigs of Rado olyoials Dipty Rai Dhal D K isha Depatet of atheatics

More information