Inelastic electron tunneling through a vibrational modulated barrier in STM

Size: px
Start display at page:

Download "Inelastic electron tunneling through a vibrational modulated barrier in STM"

Transcription

1 Romnn Reports n Physcs, olume 55, Numer 4, P , 3 Inelstc electron tunnelng through vrtonl modulted rrer n SM P. udu culty of Physcs, Unversty of uchrest, PO ox MG, Mgurele, Romn strct: Usng mny ody formlsm, we hve studed the effect of the modulton of the tunnelng rrer y the vrtng molecule, on the nelstc tunnelng current n SM. In our model, the domnnt nelstc term ppers n the frst order of the perturton theory. We hve consdered lso the second nd the thrd order elstc nd nelstc terms, whch cn contrute to the tunnelng current n the SM. Key words: Scnnng unnelng Mcroscopy, elstc nd nelstc tunnelng Recent experments proved the posslty to perform nelstc electron tunnelng wth SM, through vrtng molecules [,]. Prevous theores of nelstc electron tunnelng, model ths process y dpole couplng [3,4], or tunnelng through n dsorte resonnce [5-7]. Detled mcroscopc clcultons sed on Green uncton technque [8] or Densty unctonl heory [9], expln the selecton rules oserved n experments, y destructve nterferences of nelstc sctterng processes. In the present pper, we model the nelstc tunnelng of electrons usng smlr mltonn s used y Persson nd rtoff [5]. We consder tht the vrton of the molecule modultes the tunnelng rrer nd tht the couplng of the tunnelng electrons to ths vrton s the mn perturton. We model the followng physcl process: electrons tunnel from n electron resonnce loclzed on the SM tp to n electronc resonnce of vrtng molecule sored on metllc surfce (g.). he correspondng projected denstes of sttes on the sttes nd re denoted () nd ().

2 48 P.udu he process s modeled y the mltonn: k k k ( k k ) R R R R R kr kr ( k k ) hωυ υ ( Q)( ) L L kl kl kl kl () tp;, re the electronc levels close to the erm levels of the sustte nd the, - lel the energy levels of the one prtcle egensttes of the tp (L) nd k L k R the sustrte (R);, re the mtrx elements for the electron trnsfer etween the tp nd k L k L level, nd etween the sustrte nd level; h Ω - s the vrton energy of the dsorte;,,,,,,,,υ,υ re the nnhlton nd creton opertors for the,, hω sttes respectvely; of kl k L, kl k R k R Q s the dsplcement correspondng to the vrton mode of the dsorte. We neglect the dependence of nd on Q, ut we consder the dependence on Q ( ( Q) ) the vrton of the molecule.. s drectly relted to the SM rrer nd s modulted y y expndng to frst order n Q we hve: θ ( Q) ( O) Q ( υ υ ) () Q O he mltonn () cn e rewrtten usng (): ( ) ( )( υ ) υ (3)

3 Inelstc electron tunnelng through vrtonl modulted rrer n SM 49 s the qudrtc prt of the mltonn, nd cn e dgonlzed s n [5]. fter the dgonlzton we otn: Ω υ υ h ( ) ( ) ( ) υ υ (4) { }, { } denote the one prtcle electronc sttes of the dsortesustrte system, nd of the tp. he projected denstes of sttes on nd sttes re defned: ( ) ( ) ( ) ( ) (5) Let us consder the next expnson of the trnston opertor: I I I (6) We evlute the trnston mtrx elements n the frst, second nd thrd order etween the next ntl nd fnl sttes: fph ph n fn n n ; ; χ (7) denotes the occupton of the stte wth one electron; denotes the empty stte;

4 5 P.udu, re ntermedte sttes up (elow) the erm level; ndcte the numer of phonons n the ntl (fnl) stte. n, ph, n f, ph, ph f, ph or elstc trnston n n. or nelstc trnston wth emsson of, ph f, ph one phonon n, n, etc...he ove n nd fn sttes correspond to trnston (elstc or nelstc) for one stte electron. It s very esy to extend the notton, consderng two (or more) electrons processes. In the frst order of the development (6) we hve elstc processes nd nelstc processes wth one electron ndcted symolclly n g.. he mtrx elements correspondng to these processes re: ( ) elstc ( ) nelstc fn e fn n (8) ll the mtrx elements (elstc or nelstc) n the second order nvolvng oneelectron processes vnsh. In fct, ths sttement s vld for ll n th order mtrx elements wth even n (n ). hs s not vld n Persson nd rtoff model n whch the frst nonvnshng nelstc processes wth one tunnelng electron re n the second order. he explnton of ths fct s due to the presence of the couplng etween the resonnt level nd the vrton mode n Persson nd rtoff model. hs couplng term s not ncluded n our model. he mtrx elements n the second order re: j fn n j, wth, j, (9) he nonvnshng mtrx elements n the second order nvolve two electrons. he elstc nd nelstc processes n the second order re presented n g.3. he mtrx elements n the thrd order re:

5 Inelstc electron tunnelng through vrtonl modulted rrer n SM 5 n fn k j jk, wth,,, k j () he mtrx elements n the thrd order nvolve one or three electron processes. hese processes cn e elstc processes or nelstc processes wth one, two or three phonons (g.4). ll the two electron processes n the thrd order vnsh. Other nonvnshng mtrx elements n the thrd order re nelstc processes wth emsson of one, two or three phonons, ut the electronc events re the sme s n g.4, d. Now we evlute the tunnelng currents correspondng to the frst order terms ndcted n g.. or the elstc tunnelng current we hve: ( ) ( ) ( ) ( ) [ ] ( ) Θ Θ e I elstc elstc () where ( ) Θ s the erm Drc dstruton t zero temperture. he correspondng elstc conductnce s: ( ) ( ) ( ) ( ) ( ) elstc h e h e I π π 4 / / 4 () Where e he nelstc conductnce n the frst order s: ( ) ( ) ( ) ( ) ( ) ( ) ( ). / / Ω Ω Θ Θ Ω e e I nelstc (3)

6 5 P.udu he normlzed totl conductnce n the frst order s: I η ( ) ( ) ( ) elstc I nelstc I / ( Ω) ( ) elstc η Θ( e Ω). (4) We estmte tht ths formul gves the domnnt term n the tunnelng current nd predct pek n the second dervtve of the tunnelng current. Our result s dfferent from the result otned usng the Persson rtoff formlsm, whch predcts dp n the second dervtve of the current. We hve evluted the tunnelng currents nd conductnce [], correspondng to ll ndvdul processes ndcted n g. 4.he relevnt terms n the totl conductnce nclude the nterference terms etween the frst nd second order nelstc terms, ut lso nterference etween the frst nd thrd order elstc terms. In the Persson rtoff formlsm only the nterference terms etween the frst nd thrd order elstc terms pper. In our model, the nterference terms gve complcted formul, ut we pprecte tht for usul expermentl condtons (5 - o seprtons etween the tp nd the dsorte), (4) gves the domnnt term. or low seprton the nterctons cn modfy the reltve strength n the correcton terms n perturton theory nd the correcton terms cn chnge the sgn of η. n expermentl result n whch we oserve dp n the nelstc tunnelng spectr s otned y the rtz er Insttut group []. lso n the prevous estmtons, the contrutons to the tunnelng current of the modulton of the rrer y the vrtng molecules re neglected, we consder tht n the cse of nonresont electronc tunnelng, ths effect cn e domnnt nd cn expln the expermentl results.

7 Inelstc electron tunnelng through vrtonl modulted rrer n SM 53 cknowledgements: hs work enefted from the fnncl support of rtz er Insttute der Mx Plnck Gesellschft, erln, Germny. he uthor would lke to thnk Dr.. onrd, Prof. K. orn nd Dr.. Sptru for mny useful dscussons. References:. Stpe, Reze M nd o W 998 Scence Stpe, Reze M nd o W 999 Phys. Rev. Lett nng G, Grc N nd Rohrer 985 Phys. Rev Persson N J nd Demuth J E 986 Sold Stte omm Persson N J nd rtoff 987 Phys. Rev. Lett Gt M nd ntonewcz P R 993 Phys, Rev Sptru nd udu P 997 J. of Phys.: ond. Mtter Mngo N nd Mkosh K Phys. Rev. Lett Lorente N nd Persson M Phys. Rev. Lett udu P (unpulshed results). Psqul J I, Jckw J J, Song Z, Wess P S, onrd nd Rust P Phys. Rev. Lett. 86 5

8 54 P.udu gure cptons: g. Electrons tunnel from the left (L) electrode (tp) to the rght (R) electrode. he correspondng projected denstes of sttes re denoted () nd (). g. Dgrmmtc representtons of the mtrx elements contrutng to the resonnt tunnelng current n the frst order. he crcles denotes (s n [5 ]) the erm se of the tp ( sttes) nd the erm se of the dsorte sustrtes system ( sttes). g.3 Dgrmmtc representtons of the mtrx elements contrutng to the resonnt tunnelng current n the second order. g.4 Elstc thrd order processes wth one or three tunnelng electrons. rcled numers ndcte the tme orderng of the events.

9 Inelstc electron tunnelng through vrtonl modulted rrer n SM 55 () () -e g.

10 56 P.udu Elstc processe of order Inelstc processe of order g.

11 Inelstc electron tunnelng through vrtonl modulted rrer n SM 57 Elstc processes Inelstc processes g. 3

12 58 P.udu Elstc processes wthout phonons Elstc processes wth emsson nd resorpton of one phonon () (e) 3 () (f) (c) (g) (d) (h) g. 4

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC

Rank One Update And the Google Matrix by Al Bernstein Signal Science, LLC Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses

More information

Katholieke Universiteit Leuven Department of Computer Science

Katholieke Universiteit Leuven Department of Computer Science Updte Rules for Weghted Non-negtve FH*G Fctorzton Peter Peers Phlp Dutré Report CW 440, Aprl 006 Ktholeke Unverstet Leuven Deprtment of Computer Scence Celestjnenln 00A B-3001 Heverlee (Belgum) Updte Rules

More information

ψ ij has the eigenvalue

ψ ij has the eigenvalue Moller Plesset Perturbton Theory In Moller-Plesset (MP) perturbton theory one tes the unperturbed Hmltonn for n tom or molecule s the sum of the one prtcle Foc opertors H F() where the egenfunctons of

More information

6. Chemical Potential and the Grand Partition Function

6. Chemical Potential and the Grand Partition Function 6. Chemcl Potentl nd the Grnd Prtton Functon ome Mth Fcts (see ppendx E for detls) If F() s n nlytc functon of stte vrles nd such tht df d pd then t follows: F F p lso snce F p F we cn conclude: p In other

More information

Investigation phase in case of Bragg coupling

Investigation phase in case of Bragg coupling Journl of Th-Qr Unversty No.3 Vol.4 December/008 Investgton phse n cse of Brgg couplng Hder K. Mouhmd Deprtment of Physcs, College of Scence, Th-Qr, Unv. Mouhmd H. Abdullh Deprtment of Physcs, College

More information

Electrochemical Thermodynamics. Interfaces and Energy Conversion

Electrochemical Thermodynamics. Interfaces and Energy Conversion CHE465/865, 2006-3, Lecture 6, 18 th Sep., 2006 Electrochemcl Thermodynmcs Interfces nd Energy Converson Where does the energy contrbuton F zϕ dn come from? Frst lw of thermodynmcs (conservton of energy):

More information

Many-Body Calculations of the Isotope Shift

Many-Body Calculations of the Isotope Shift Mny-Body Clcultons of the Isotope Shft W. R. Johnson Mrch 11, 1 1 Introducton Atomc energy levels re commonly evluted ssumng tht the nucler mss s nfnte. In ths report, we consder correctons to tomc levels

More information

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert

Demand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd

More information

International Journal of Pure and Applied Sciences and Technology

International Journal of Pure and Applied Sciences and Technology Int. J. Pure Appl. Sc. Technol., () (), pp. 44-49 Interntonl Journl of Pure nd Appled Scences nd Technolog ISSN 9-67 Avlle onlne t www.jopst.n Reserch Pper Numercl Soluton for Non-Lner Fredholm Integrl

More information

Remember: Project Proposals are due April 11.

Remember: Project Proposals are due April 11. Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,

More information

7.2 Volume. A cross section is the shape we get when cutting straight through an object.

7.2 Volume. A cross section is the shape we get when cutting straight through an object. 7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A

More information

6 Roots of Equations: Open Methods

6 Roots of Equations: Open Methods HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng

More information

The Study of Lawson Criterion in Fusion Systems for the

The Study of Lawson Criterion in Fusion Systems for the Interntonl Archve of Appled Scences nd Technology Int. Arch. App. Sc. Technol; Vol 6 [] Mrch : -6 Socety of ducton, Ind [ISO9: 8 ertfed Orgnzton] www.soeg.co/st.html OD: IAASA IAAST OLI ISS - 6 PRIT ISS

More information

Applied Statistics Qualifier Examination

Applied Statistics Qualifier Examination Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng

More information

The Number of Rows which Equal Certain Row

The Number of Rows which Equal Certain Row Interntonl Journl of Algebr, Vol 5, 011, no 30, 1481-1488 he Number of Rows whch Equl Certn Row Ahmd Hbl Deprtment of mthemtcs Fcult of Scences Dmscus unverst Dmscus, Sr hblhmd1@gmlcom Abstrct Let be X

More information

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism

Partially Observable Systems. 1 Partially Observable Markov Decision Process (POMDP) Formalism CS294-40 Lernng for Rootcs nd Control Lecture 10-9/30/2008 Lecturer: Peter Aeel Prtlly Oservle Systems Scre: Dvd Nchum Lecture outlne POMDP formlsm Pont-sed vlue terton Glol methods: polytree, enumerton,

More information

Two Coefficients of the Dyson Product

Two Coefficients of the Dyson Product Two Coeffcents of the Dyson Product rxv:07.460v mth.co 7 Nov 007 Lun Lv, Guoce Xn, nd Yue Zhou 3,,3 Center for Combntorcs, LPMC TJKLC Nnk Unversty, Tnjn 30007, P.R. Chn lvlun@cfc.nnk.edu.cn gn@nnk.edu.cn

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson

More information

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed

Proof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed Proof tht f Votng s Perfect n One Dmenson, then the Frst Egenvector Extrcted from the Doule-Centered Trnsformed Agreement Score Mtrx hs the Sme Rn Orderng s the True Dt Keth T Poole Unversty of Houston

More information

Chapter Newton-Raphson Method of Solving a Nonlinear Equation

Chapter Newton-Raphson Method of Solving a Nonlinear Equation Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson

More information

HAMILTON-JACOBI TREATMENT OF LAGRANGIAN WITH FERMIONIC AND SCALAR FIELD

HAMILTON-JACOBI TREATMENT OF LAGRANGIAN WITH FERMIONIC AND SCALAR FIELD AMION-JACOBI REAMEN OF AGRANGIAN WI FERMIONIC AND SCAAR FIED W. I. ESRAIM 1, N. I. FARAA Dertment of Physcs, Islmc Unversty of Gz, P.O. Box 18, Gz, Plestne 1 wbrhm 7@hotml.com nfrht@ugz.edu.s Receved November,

More information

CIS587 - Artificial Intelligence. Uncertainty CIS587 - AI. KB for medical diagnosis. Example.

CIS587 - Artificial Intelligence. Uncertainty CIS587 - AI. KB for medical diagnosis. Example. CIS587 - rtfcl Intellgence Uncertnty K for medcl dgnoss. Exmple. We wnt to uld K system for the dgnoss of pneumon. rolem descrpton: Dsese: pneumon tent symptoms fndngs, l tests: Fever, Cough, leness, WC

More information

Effect of Uniform Horizontal Magnetic Field on Thermal Convection in a Rotating Fluid Saturating a Porous Medium

Effect of Uniform Horizontal Magnetic Field on Thermal Convection in a Rotating Fluid Saturating a Porous Medium Journl of Computer nd Mthemtcl Scences, Vol.8, 576-588 Novemer 07 An Interntonl Reserch Journl, www.compmth-journl.org 576 ISSN 0976-577 rnt ISSN 9-8 Onlne Effect of Unform Horzontl Mgnetc Feld on Therml

More information

Supplementary Information for Observation of Parity-Time Symmetry in. Optically Induced Atomic Lattices

Supplementary Information for Observation of Parity-Time Symmetry in. Optically Induced Atomic Lattices Supplementary Informaton for Observaton of Party-Tme Symmetry n Optcally Induced Atomc attces Zhaoyang Zhang 1,, Yq Zhang, Jteng Sheng 3, u Yang 1, 4, Mohammad-Al Mr 5, Demetros N. Chrstodouldes 5, Bng

More information

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II

UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )

More information

SYMMETRY CONCEPT APPLIED IN MOLECULAR SPECTROSCOPY

SYMMETRY CONCEPT APPLIED IN MOLECULAR SPECTROSCOPY SYMMETRY CONCEPT APPLED N MOLECULAR SPECTROSCOPY 1 D.O. DOROHO, C.E. HRETCANU, 3 M.C. CRASMAREANU 1 Fculty of Physcs, Al.. Cuz Unversty, ş, Romn Food Engneerng Fculty, Ştefn cel Mre Unversty, Sucev, Romn

More information

Haddow s Experiment:

Haddow s Experiment: schemtc drwng of Hddow's expermentl set-up movng pston non-contctng moton sensor bems of sprng steel poston vres to djust frequences blocks of sold steel shker Hddow s Experment: terr frm Theoretcl nd

More information

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x)

DCDM BUSINESS SCHOOL NUMERICAL METHODS (COS 233-8) Solutions to Assignment 3. x f(x) DCDM BUSINESS SCHOOL NUMEICAL METHODS (COS -8) Solutons to Assgnment Queston Consder the followng dt: 5 f() 8 7 5 () Set up dfference tble through fourth dfferences. (b) Wht s the mnmum degree tht n nterpoltng

More information

INTRODUCTION TO COMPLEX NUMBERS

INTRODUCTION TO COMPLEX NUMBERS INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced

More information

Dynamics of a Superconducting Qubit Coupled to an LC Resonator

Dynamics of a Superconducting Qubit Coupled to an LC Resonator Dynamcs of a Superconductng Qubt Coupled to an LC Resonator Y Yang Abstract: We nvestgate the dynamcs of a current-based Josephson juncton quantum bt or qubt coupled to an LC resonator. The Hamltonan of

More information

Substitution Matrices and Alignment Statistics. Substitution Matrices

Substitution Matrices and Alignment Statistics. Substitution Matrices Susttuton Mtrces nd Algnment Sttstcs BMI/CS 776 www.ostt.wsc.edu/~crven/776.html Mrk Crven crven@ostt.wsc.edu Ferur 2002 Susttuton Mtrces two oulr sets of mtrces for roten seuences PAM mtrces [Dhoff et

More information

A Family of Multivariate Abel Series Distributions. of Order k

A Family of Multivariate Abel Series Distributions. of Order k Appled Mthemtcl Scences, Vol. 2, 2008, no. 45, 2239-2246 A Fmly of Multvrte Abel Seres Dstrbutons of Order k Rupk Gupt & Kshore K. Ds 2 Fculty of Scence & Technology, The Icf Unversty, Agrtl, Trpur, Ind

More information

Activator-Inhibitor Model of a Dynamical System: Application to an Oscillating Chemical Reaction System

Activator-Inhibitor Model of a Dynamical System: Application to an Oscillating Chemical Reaction System Actvtor-Inhtor Model of Dynmcl System: Applcton to n Osclltng Chemcl Recton System C.G. Chrrth*P P,Denn BsuP P * Deprtment of Appled Mthemtcs Unversty of Clcutt 9, A. P. C. Rod, Kolt-79 # Deprtment of

More information

FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS

FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Dol Bgyoko (0 FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Introducton Expressons of the form P(x o + x + x + + n x n re clled polynomls The coeffcents o,, n re ndependent of x nd the exponents 0,,,

More information

Lecture 4: Piecewise Cubic Interpolation

Lecture 4: Piecewise Cubic Interpolation Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml

More information

2.12 Pull Back, Push Forward and Lie Time Derivatives

2.12 Pull Back, Push Forward and Lie Time Derivatives Secton 2.2 2.2 Pull Bck Push Forwrd nd e me Dertes hs secton s n the mn concerned wth the follown ssue: n oserer ttched to fxed sy Crtesn coordnte system wll see mterl moe nd deform oer tme nd wll osere

More information

Chapter 5 Supplemental Text Material R S T. ij i j ij ijk

Chapter 5 Supplemental Text Material R S T. ij i j ij ijk Chpter 5 Supplementl Text Mterl 5-. Expected Men Squres n the Two-fctor Fctorl Consder the two-fctor fxed effects model y = µ + τ + β + ( τβ) + ε k R S T =,,, =,,, k =,,, n gven s Equton (5-) n the textook.

More information

Analytical Approach for the Solution of Thermodynamic Identities with Relativistic General Equation of State in a Mixture of Gases

Analytical Approach for the Solution of Thermodynamic Identities with Relativistic General Equation of State in a Mixture of Gases Itertol Jourl of Advced Reserch Physcl Scece (IJARPS) Volume, Issue 5, September 204, PP 6-0 ISSN 2349-7874 (Prt) & ISSN 2349-7882 (Ole) www.rcourls.org Alytcl Approch for the Soluto of Thermodymc Idettes

More information

Principle Component Analysis

Principle Component Analysis Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors

More information

Lecture 36. Finite Element Methods

Lecture 36. Finite Element Methods CE 60: Numercl Methods Lecture 36 Fnte Element Methods Course Coordntor: Dr. Suresh A. Krth, Assocte Professor, Deprtment of Cvl Engneerng, IIT Guwht. In the lst clss, we dscussed on the ppromte methods

More information

The Schur-Cohn Algorithm

The Schur-Cohn Algorithm Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for

More information

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions:

Physics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions: Physcs 121 Smple Common Exm 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Nme (Prnt): 4 Dgt ID: Secton: Instructons: Answer ll 27 multple choce questons. You my need to do some clculton. Answer ech queston on the

More information

Quantum SU(2 1) supersymmetric Calogero Moser spinning systems

Quantum SU(2 1) supersymmetric Calogero Moser spinning systems Quntum SU 1 supersymmetrc Clogero Moser spnnng systems rxv:1801.0006v hep-th 9 Apr 018 SergeyFedoru, EvgenyIvnov, Olf Lechtenfeld b, StepnSdorov Bogolubov Lbortory of Theoretcl Physcs, JINR, 141980 Dubn,

More information

The Fundamental Theorem of Calculus. The Total Change Theorem and the Area Under a Curve.

The Fundamental Theorem of Calculus. The Total Change Theorem and the Area Under a Curve. Clculus Li Vs The Fundmentl Theorem of Clculus. The Totl Chnge Theorem nd the Are Under Curve. Recll the following fct from Clculus course. If continuous function f(x) represents the rte of chnge of F

More information

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1

Dennis Bricker, 2001 Dept of Industrial Engineering The University of Iowa. MDP: Taxi page 1 Denns Brcker, 2001 Dept of Industrl Engneerng The Unversty of Iow MDP: Tx pge 1 A tx serves three djcent towns: A, B, nd C. Ech tme the tx dschrges pssenger, the drver must choose from three possble ctons:

More information

Electrical double layer: revisit based on boundary conditions

Electrical double layer: revisit based on boundary conditions Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer

More information

ECEN 5005 Crystals, Nanocrystals and Device Applications Class 19 Group Theory For Crystals

ECEN 5005 Crystals, Nanocrystals and Device Applications Class 19 Group Theory For Crystals ECEN 5005 Crystals, Nanocrystals and Devce Applcatons Class 9 Group Theory For Crystals Dee Dagram Radatve Transton Probablty Wgner-Ecart Theorem Selecton Rule Dee Dagram Expermentally determned energy

More information

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3

I1 = I2 I1 = I2 + I3 I1 + I2 = I3 + I4 I 3 2 The Prllel Circuit Electric Circuits: Figure 2- elow show ttery nd multiple resistors rrnged in prllel. Ech resistor receives portion of the current from the ttery sed on its resistnce. The split is

More information

PROBLEM SET #2 SOLUTIONS by Robert A. DiStasio Jr.

PROBLEM SET #2 SOLUTIONS by Robert A. DiStasio Jr. PROBLM ST # SOLUTIOS by Robert A. DStso Jr. Q. -prtcle densty mtrces nd dempotency. () A mtrx M s sd to be dempotent f M M. Show from the bsc defnton tht the HF densty mtrx s dempotent when expressed n

More information

Online Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members

Online Appendix to. Mandating Behavioral Conformity in Social Groups with Conformist Members Onlne Appendx to Mndtng Behvorl Conformty n Socl Groups wth Conformst Members Peter Grzl Andrze Bnk (Correspondng uthor) Deprtment of Economcs, The Wllms School, Wshngton nd Lee Unversty, Lexngton, 4450

More information

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus:

Fall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede. with respect to λ. 1. χ λ χ λ ( ) λ, and thus: More on χ nd errors : uppose tht we re fttng for sngle -prmeter, mnmzng: If we epnd The vlue χ ( ( ( ; ( wth respect to. χ n Tlor seres n the vcnt of ts mnmum vlue χ ( mn χ χ χ χ + + + mn mnmzes χ, nd

More information

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245.

Trigonometry. Trigonometry. Solutions. Curriculum Ready ACMMG: 223, 224, 245. Trgonometry Trgonometry Solutons Currulum Redy CMMG:, 4, 4 www.mthlets.om Trgonometry Solutons Bss Pge questons. Identfy f the followng trngles re rght ngled or not. Trngles,, d, e re rght ngled ndted

More information

Definition of Tracking

Definition of Tracking Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,

More information

Pyramid Algorithms for Barycentric Rational Interpolation

Pyramid Algorithms for Barycentric Rational Interpolation Pyrmd Algorthms for Brycentrc Rtonl Interpolton K Hormnn Scott Schefer Astrct We present new perspectve on the Floter Hormnn nterpolnt. Ths nterpolnt s rtonl of degree (n, d), reproduces polynomls of degree

More information

6.3.7 Example with Runga Kutta 4 th order method

6.3.7 Example with Runga Kutta 4 th order method 6.3.7 Example wth Runga Kutta 4 th order method Agan, as an example, 3 machne, 9 bus system shown n Fg. 6.4 s agan consdered. Intally, the dampng of the generators are neglected (.e. d = 0 for = 1, 2,

More information

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek Optmlt of Strteges for Collpsg Expe Rom Vrles Smple Rom Smple E Stek troucto We revew the propertes of prectors of ler comtos of rom vrles se o rom vrles su-spce of the orgl rom vrles prtculr, we ttempt

More information

Solubilities and Thermodynamic Properties of SO 2 in Ionic

Solubilities and Thermodynamic Properties of SO 2 in Ionic Solubltes nd Therodync Propertes of SO n Ionc Lquds Men Jn, Yucu Hou, b Weze Wu, *, Shuhng Ren nd Shdong Tn, L Xo, nd Zhgng Le Stte Key Lbortory of Checl Resource Engneerng, Beng Unversty of Checl Technology,

More information

Chemistry 163B Absolute Entropies and Entropy of Mixing

Chemistry 163B Absolute Entropies and Entropy of Mixing Chemstry 163 Wnter 1 Hndouts for hrd Lw nd Entropy of Mxng (del gs, dstngushle molecules) PPENDIX : H f, G f, U S (no Δ, no su f ) Chemstry 163 solute Entropes nd Entropy of Mxng Hº f Gº f Sº 1 hrd Lw

More information

Solution of Tutorial 5 Drive dynamics & control

Solution of Tutorial 5 Drive dynamics & control ELEC463 Unversty of New South Wles School of Electrcl Engneerng & elecommunctons ELEC463 Electrc Drve Systems Queston Motor Soluton of utorl 5 Drve dynmcs & control 500 rev/mn = 5.3 rd/s 750 rted 4.3 Nm

More information

STRAND J: TRANSFORMATIONS, VECTORS and MATRICES

STRAND J: TRANSFORMATIONS, VECTORS and MATRICES Mthemtics SKE: STRN J STRN J: TRNSFORMTIONS, VETORS nd MTRIES J3 Vectors Text ontents Section J3.1 Vectors nd Sclrs * J3. Vectors nd Geometry Mthemtics SKE: STRN J J3 Vectors J3.1 Vectors nd Sclrs Vectors

More information

Quiz: Experimental Physics Lab-I

Quiz: Experimental Physics Lab-I Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled

More information

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors

VECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors 1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude

More information

Fitting a Polynomial to Heat Capacity as a Function of Temperature for Ag. Mathematical Background Document

Fitting a Polynomial to Heat Capacity as a Function of Temperature for Ag. Mathematical Background Document Fttng Polynol to Het Cpcty s Functon of Teperture for Ag. thetcl Bckground Docuent by Theres Jul Zelnsk Deprtent of Chestry, edcl Technology, nd Physcs onouth Unversty West ong Brnch, J 7764-898 tzelns@onouth.edu

More information

consider in the case of 1) internal resonance ω 2ω and 2) external resonance Ω ω and small damping

consider in the case of 1) internal resonance ω 2ω and 2) external resonance Ω ω and small damping consder n the cse o nternl resonnce nd externl resonnce Ω nd smll dmpng recll rom "Two_Degs_Frdm_.ppt" tht θ + μ θ + θ = θφ + cos Ω t + τ where = k α α nd φ + μ φ + φ = θ + cos Ω t where = α τ s constnt

More information

Introduction to Numerical Integration Part II

Introduction to Numerical Integration Part II Introducton to umercl Integrton Prt II CS 75/Mth 75 Brn T. Smth, UM, CS Dept. Sprng, 998 4/9/998 qud_ Intro to Gussn Qudrture s eore, the generl tretment chnges the ntegrton prolem to ndng the ntegrl w

More information

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus

ESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem

More information

List all of the possible rational roots of each equation. Then find all solutions (both real and imaginary) of the equation. 1.

List all of the possible rational roots of each equation. Then find all solutions (both real and imaginary) of the equation. 1. Mth Anlysis CP WS 4.X- Section 4.-4.4 Review Complete ech question without the use of grphing clcultor.. Compre the mening of the words: roots, zeros nd fctors.. Determine whether - is root of 0. Show

More information

MAGNETISM MAGNETIC DIPOLES

MAGNETISM MAGNETIC DIPOLES MAGNETISM We now turn to magnetsm. Ths has actually been used for longer than electrcty. People were usng compasses to sal around the Medterranean Sea several hundred years BC. However t was not understood

More information

CS 310 (sec 20) - Winter Final Exam (solutions) SOLUTIONS

CS 310 (sec 20) - Winter Final Exam (solutions) SOLUTIONS CS 310 (sec 20) - Winter 2003 - Finl Exm (solutions) SOLUTIONS 1. (Logic) Use truth tles to prove the following logicl equivlences: () p q (p p) (q q) () p q (p q) (p q) () p q p q p p q q (q q) (p p)

More information

Name: SID: Discussion Session:

Name: SID: Discussion Session: Nme: SID: Dscusson Sesson: hemcl Engneerng hermodynmcs -- Fll 008 uesdy, Octoer, 008 Merm I - 70 mnutes 00 onts otl losed Book nd Notes (5 ponts). onsder n del gs wth constnt het cpctes. Indcte whether

More information

Lecture 08: Feb. 08, 2019

Lecture 08: Feb. 08, 2019 4CS4-6:Theory of Computtion(Closure on Reg. Lngs., regex to NDFA, DFA to regex) Prof. K.R. Chowdhry Lecture 08: Fe. 08, 2019 : Professor of CS Disclimer: These notes hve not een sujected to the usul scrutiny

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

Learning Enhancement Team

Learning Enhancement Team Lernng Enhnement Tem Worsheet: The Cross Produt These re the model nswers for the worsheet tht hs questons on the ross produt etween vetors. The Cross Produt study gude. z x y. Loong t mge, you n see tht

More information

arxiv:gr-qc/ v1 14 Mar 2000

arxiv:gr-qc/ v1 14 Mar 2000 The binry blck-hole dynmics t the third post-newtonin order in the orbitl motion Piotr Jrnowski Institute of Theoreticl Physics, University of Bi lystok, Lipow 1, 15-2 Bi lystok, Polnd Gerhrd Schäfer Theoretisch-Physiklisches

More information

MA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp.

MA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp. MA123, Chpter 1: Formuls for integrls: integrls, ntiderivtives, nd the Fundmentl Theorem of Clculus (pp. 27-233, Gootmn) Chpter Gols: Assignments: Understnd the sttement of the Fundmentl Theorem of Clculus.

More information

An Ising model on 2-D image

An Ising model on 2-D image School o Coputer Scence Approte Inerence: Loopy Bele Propgton nd vrnts Prolstc Grphcl Models 0-708 Lecture 4, ov 7, 007 Receptor A Knse C Gene G Receptor B Knse D Knse E 3 4 5 TF F 6 Gene H 7 8 Hetunndn

More information

The practical version

The practical version Roerto s Notes on Integrl Clculus Chpter 4: Definite integrls nd the FTC Section 7 The Fundmentl Theorem of Clculus: The prcticl version Wht you need to know lredy: The theoreticl version of the FTC. Wht

More information

Sequences of Intuitionistic Fuzzy Soft G-Modules

Sequences of Intuitionistic Fuzzy Soft G-Modules Interntonl Mthemtcl Forum, Vol 13, 2018, no 12, 537-546 HIKARI Ltd, wwwm-hkrcom https://doorg/1012988/mf201881058 Sequences of Intutonstc Fuzzy Soft G-Modules Velyev Kemle nd Huseynov Afq Bku Stte Unversty,

More information

Effects of polarization on the reflected wave

Effects of polarization on the reflected wave Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton

More information

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia

Variable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng

More information

References: 1. Introduction to Solid State Physics, Kittel 2. Solid State Physics, Ashcroft and Mermin

References: 1. Introduction to Solid State Physics, Kittel 2. Solid State Physics, Ashcroft and Mermin Lecture 12 Bn Gp Toy: 1. Seres solutons to the cosne potentl Hmltonn. 2. Dervton of the bngrms the grphcl representton of sngle electron solutons 3. Anlytcl expresson for bngps Questons you shoul be ble

More information

This model contains two bonds per unit cell (one along the x-direction and the other along y). So we can rewrite the Hamiltonian as:

This model contains two bonds per unit cell (one along the x-direction and the other along y). So we can rewrite the Hamiltonian as: 1 Problem set #1 1.1. A one-band model on a square lattce Fg. 1 Consder a square lattce wth only nearest-neghbor hoppngs (as shown n the fgure above): H t, j a a j (1.1) where,j stands for nearest neghbors

More information

Minimal DFA. minimal DFA for L starting from any other

Minimal DFA. minimal DFA for L starting from any other Miniml DFA Among the mny DFAs ccepting the sme regulr lnguge L, there is exctly one (up to renming of sttes) which hs the smllest possile numer of sttes. Moreover, it is possile to otin tht miniml DFA

More information

where I = (n x n) diagonal identity matrix with diagonal elements = 1 and off-diagonal elements = 0; and σ 2 e = variance of (Y X).

where I = (n x n) diagonal identity matrix with diagonal elements = 1 and off-diagonal elements = 0; and σ 2 e = variance of (Y X). 11.4.1 Estmaton of Multple Regresson Coeffcents In multple lnear regresson, we essentally solve n equatons for the p unnown parameters. hus n must e equal to or greater than p and n practce n should e

More information

LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER

LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN FRACTAL HEAT TRANSFER Yn, S.-P.: Locl Frctonl Lplce Seres Expnson Method for Dffuson THERMAL SCIENCE, Yer 25, Vol. 9, Suppl., pp. S3-S35 S3 LOCAL FRACTIONAL LAPLACE SERIES EXPANSION METHOD FOR DIFFUSION EQUATION ARISING IN

More information

Randić Energy and Randić Estrada Index of a Graph

Randić Energy and Randić Estrada Index of a Graph EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5, No., 202, 88-96 ISSN 307-5543 www.ejpam.com SPECIAL ISSUE FOR THE INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND ALGEBRA 29 JUNE -02JULY 20, ISTANBUL

More information

4. Eccentric axial loading, cross-section core

4. Eccentric axial loading, cross-section core . Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we

More information

The area under the graph of f and above the x-axis between a and b is denoted by. f(x) dx. π O

The area under the graph of f and above the x-axis between a and b is denoted by. f(x) dx. π O 1 Section 5. The Definite Integrl Suppose tht function f is continuous nd positive over n intervl [, ]. y = f(x) x The re under the grph of f nd ove the x-xis etween nd is denoted y f(x) dx nd clled the

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

Quantum Mechanics Qualifying Exam - August 2016 Notes and Instructions

Quantum Mechanics Qualifying Exam - August 2016 Notes and Instructions Quntum Mechnics Qulifying Exm - August 016 Notes nd Instructions There re 6 problems. Attempt them ll s prtil credit will be given. Write on only one side of the pper for your solutions. Write your lis

More information

EPR Paradox and the Physical Meaning of an Experiment in Quantum Mechanics. Vesselin C. Noninski

EPR Paradox and the Physical Meaning of an Experiment in Quantum Mechanics. Vesselin C. Noninski EPR Paradox and the Physcal Meanng of an Experment n Quantum Mechancs Vesseln C Nonnsk vesselnnonnsk@verzonnet Abstract It s shown that there s one purely determnstc outcome when measurement s made on

More information

SVMs for regression Non-parametric/instance based classification method

SVMs for regression Non-parametric/instance based classification method S 75 Mchne ernng ecture Mos Huskrecht mos@cs.ptt.edu 539 Sennott Squre SVMs for regresson Non-prmetrc/nstnce sed cssfcton method S 75 Mchne ernng Soft-mrgn SVM Aos some fet on crossng the seprtng hperpne

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

4.4 Areas, Integrals and Antiderivatives

4.4 Areas, Integrals and Antiderivatives . res, integrls nd ntiderivtives 333. Ares, Integrls nd Antiderivtives This section explores properties of functions defined s res nd exmines some connections mong res, integrls nd ntiderivtives. In order

More information

THE CURRENT BALANCE Physics 258/259

THE CURRENT BALANCE Physics 258/259 DSH 1988, 005 THE CURRENT BALANCE Physcs 58/59 The tme average force between two parallel conductors carryng an alternatng current s measured by balancng ths force aganst the gravtatonal force on a set

More information

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no

Abhilasha Classes Class- XII Date: SOLUTION (Chap - 9,10,12) MM 50 Mob no hlsh Clsses Clss- XII Dte: 0- - SOLUTION Chp - 9,0, MM 50 Mo no-996 If nd re poston vets of nd B respetvel, fnd the poston vet of pont C n B produed suh tht C B vet r C B = where = hs length nd dreton

More information

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is Mth Sprg 08 L Approxmtg Dete Itegrls I Itroducto We hve studed severl methods tht llow us to d the exct vlues o dete tegrls However, there re some cses whch t s ot possle to evlute dete tegrl exctly I

More information

Department of Mechanical Engineering, University of Bath. Mathematics ME Problem sheet 11 Least Squares Fitting of data

Department of Mechanical Engineering, University of Bath. Mathematics ME Problem sheet 11 Least Squares Fitting of data Deprtment of Mechncl Engneerng, Unversty of Bth Mthemtcs ME10305 Prolem sheet 11 Lest Squres Fttng of dt NOTE: If you re gettng just lttle t concerned y the length of these questons, then do hve look t

More information

Strong Gravity and the BKL Conjecture

Strong Gravity and the BKL Conjecture Introducton Strong Grvty nd the BKL Conecture Dvd Slon Penn Stte October 16, 2007 Dvd Slon Strong Grvty nd the BKL Conecture Introducton Outlne The BKL Conecture Ashtekr Vrbles Ksner Sngulrty 1 Introducton

More information

2.4 Linear Inequalities and Interval Notation

2.4 Linear Inequalities and Interval Notation .4 Liner Inequlities nd Intervl Nottion We wnt to solve equtions tht hve n inequlity symol insted of n equl sign. There re four inequlity symols tht we will look t: Less thn , Less thn or

More information