CHE450G Final Exam. CP-109 December 11, :30-12:30 AM

Size: px
Start display at page:

Download "CHE450G Final Exam. CP-109 December 11, :30-12:30 AM"

Transcription

1 CH450G Fnal xam CP-09 December, :30-2:30 AM Last name Frst Name Score [ /5] 00 = %

2 () Construct a physcally realstc molecular orbtal dagram for CS. Draw all SALC s, molecular orbtals, and provde the approprate Mullken symbols for each molecular orbtal. Show all work for credt. (0 ponts) 2

3 3 (2) Metal-lgand bondng s a fundamental concept that s useful n predctng both the propertes and reactvty of a transton metal complex. (a) Compare and contrast the dfferences between π-donors and π -acceptor lgands. Gve an example of each lgand type. Show all work for credt. (5 ponts) π-donors (π-bases): lgands wth flled π symmetry orbtals (p or π) and no low energy or vacant p or π * orbtals that can engage n π-bondng wth the transton metal orbtals (t 2g set n O h complexes); decrease Δ o. (e.g. I - ) π-acceptor (π-acds): lgands that do have empty π symmetry orbtals (p or π * ) that can engage n π-bondng wth transton metal orbtals (t 2g set n O h complexes) and no flled π symmetry orbtals that are close n energy to the metal orbtals; ncrease Δ o. (e.g. CO) (b) Use a partal molecular orbtal dagram to show how π-donor and π-acceptor lgands dffer wth respect to metal-lgand bondng (lgand feld splttng). In other words, explan the spectrochemcal seres for an octahedral complex. Show all work for credt. (5 ponts) π bases: haldes (I -, Br -, - ) π acds: CN -, NO +, CO π * π * e g e g Δ O Δ O t 2g t 2g π Metal Complex Lgand Metal Complex Lgand π σ-donors: alter e g orbtal energes and do not alter the t 2g orbtal energes (O h symmetry) n transton metal complexes. e.g. H - and Me - π-donors/acceptors: alter t 2g orbtal energes (O h symmetry) but do not alter the e g orbtal energes n transton metal complexes

4 4 (3) Inspecton of the Spectrochemcal Seres reveals an nterestng but surprsng trend for halde lgands. It s found that for haldes, the lgand feld strengths are: F - > - > Br - > I - xplan why ths s the case. Hnt: It may prove useful to draw a smple molecular orbtal dagram for each M-X. Show all work for credt. (0 ponts) Note: Modfed verson of problem 0-3 n textbook usng Table 0-3 (3 rd d.) lgand feld strengths: F - > - > Br - > I - For a gven [Cr III X 6 ] 3- complex, where X - = F,, Br, I: Lgand F - - Br - I - Δ o (cm - ) 6,600 3,80 2, Decreasng σ and π donaton s found when.n. of X - decreases (see e σ and e π ). The partal M.O. (octahedral M III X 6 3- complex) dagram qualtatvely scales as a functon of X - : F - s a generally thought of as a good onor whle I - s weaker n comparson. F - s generally thought of as a poor π donor whle I - s a better one. F - gves good M-X orbtal overlap whle I - s poor n comparson. So, Δ o s largest for F - and smallest for I - (4) Construct a molecular orbtal dagram for a tetrahedral ML 4 complex where L s a hydrogen atom. Be sure to clearly draw the lgand SALC s, assgn the approprate Mullken symbols, and how each lgand SALC nteracts wth the transton metal s, p, and d orbtals. Show all work for credt. (0 ponts) z x t 2 () t 2 () T d Complex z y 4p (t 2 ) t 2 transton metal orbtals () 4s (a ) a () y x () a t 2 () t 2 t 2 (v) 3d (e + t 2 ) Δ T e e a (v) t 2 (v) a (v) t 2 (v) (v) a (v) Metal Complex Lgands (v)

5 5 (5) Determne the symmetres (Mullken symbols) of the d orbtals under D 4h symmetry. Show all work for full credt. (0 ponts) d orbtals = xz, yz, xy, z 2, and x 2 y 2 D 4h A g x 2 + y 2, z 2 A 2g R z B g x 2 y 2 B 2g xy g (R x, R y ) (xz, yz) A u A 2u z B u B 2u u (x, y) z y x d(xy) d(xz) d(yz) d(x 2 -y 2 ) d(z 2 ) - yz xz yz -xz yz xz - (6) For each molecule and on below gve the approprate () electron par geometry and () molecular geometry/structure names. Show all work for credt. (6 ponts) (a) [I 2 ] - (b) Se 4 (c) P 4 6- I - Se P P P P 6- F F O F F - total # valence electrons: 3(7) + = 22 (6) + 4(7) = 34 4(5) + 6 = 26 5(7) + (6) + = 42

6 6 # nonbondng pars on central atom: 7-2() + = 3 6-4() + 0 = 5-3(3) + 6 = 7-4() -(2) + = () electron par geometry consders all electron pars around central atom () trgonal bpyramdal trgonal bpyramdal tetrahedral octahedral () molecular geometry consders only bondng electron pars () lnear see-saw trgonal pyramdal square pyramdal (7) The followng regular polyhedra are members of what are known collectvely as the fve Platonc solds. To whch pont group(s) do each belong? (6 ponts) (a) (b) (c) O h O h T d (8) Assgn the proper pont group for the ons below. Assume an dealzed (hghest symmetry) structure whenever possble. (2 ponts) en = H 2 N H 4 NH 2 ; Tp * = HB(3,5-dmethylpyrazol-yl)borate or [HB(Me 2 C 3 HN 2 ) 3 ] - (a) [Nb IV (Ot) 2 (CN) 4 ] 2- (b) [Mn II (en) 3 ] 2+ (c) [Tp * V II (CN) 3 ] 2- (d) [Nb V (O)(CN) 6 ] 3- (lnear CN - lgands) h D 3 C 3v C 5v (9) xplan why the electronc confguraton for T s [Ar]4s 2 3d 2 but for Cr 2+ t s [Ar] 3d 4. (5 ponts) Short answer: 4s electrons have lower energes than 3d electrons n T In ons, 3d levels move to lower energes and electron-electron parng acts to ncrease the energy of the on (gong from left to rght) In Cr, 3d and 4s levels are very close n energy

7 7 Second electron n Cr 2+ goes to 3d shell to mnmze electron-electron repulson Long answer: To answer ths queston you must consder electron-electron repulson and Z eff for the 4s and 3d electrons snce ttanum(0) and Cr II are soelectronc. As Z eff ncreases, electrons become strongly bound to the transton metal center (more negatve energes) and the energy levels decrease n energy. The energy of the d orbtals decrease more rapdly than do the s orbtals as a functon of ncreasng Z snce they are shelded less than the s orbtals. The ntraorbtal repulson nteractons become greater than the subshell energes and consequently Cr II does not have 4s electrons. (0) Determne the number of nfrared actve ν CO stretchng absorptons for fac-mo(co) 3 (NCMe) 3. Use vectors, symmetry labels, and show all work to justfy your answers. Show all work for credt. (2 ponts)

8 () () Draw the nfrared actve stretchng and deformaton modes for ammona. () Assgn each usng the correct termnology and Mullken symbol approprate for the pont group desgnaton. () Use vectors to ndcate apparent moton of atoms where necessary. (20 ponts) 8

9 9 (2) (a) Plot the radal probablty functons for the 3d, 3s, and 3p orbtals. (5 ponts) (b) Arrange the 3d, 3s, and 3p orbtals as a functon of ncreasng energes. (5 ponts) 3d < 3p < 3s (c) Arrange the orbtals as a functon of ncreasng sheldng. (5 ponts) (d) Arrange the orbtals as a functon of ncreasng Z eff. (5 ponts) 3s < 3p < 3d 3d < 3p < 3s (3) Sold CrF 3 contans a Cr III on surrounded by sx F - ons n an octahedral geometry. All of the Cr-F dstances are 90 pm n length. However, MnF 3 adopts a dstorted geometry, wth Mn-F dstances of 79, 9, and 209 pm (two of each), respectvely. Provde an explanaton for these observatons. (0 ponts) Cr III (t 2g 3 ) s not subject to Jahn-Teller dstorton whle Mn III (t 2g 3 e g ) exhbts tetragonal elongaton that s typcal of Jahn-Teller dstorted ons. (4) Complete the mssng portons of the perodc table. (0 ponts)

5.03, Inorganic Chemistry Prof. Daniel G. Nocera Lecture 2 May 11: Ligand Field Theory

5.03, Inorganic Chemistry Prof. Daniel G. Nocera Lecture 2 May 11: Ligand Field Theory 5.03, Inorganc Chemstry Prof. Danel G. Nocera Lecture May : Lgand Feld Theory The lgand feld problem s defned by the followng Hamltonan, h p Η = wth E n = KE = where = m m x y z h m Ze r hydrogen atom

More information

Molecular Orbital Theory (MOT)

Molecular Orbital Theory (MOT) Molecular Orbital Theory (MOT) In this section, There are another approach to the bonding in metal complexes: the use of molecular orbital theory (MOT). In contrast to crystal field theory, the molecular

More information

5.04, Principles of Inorganic Chemistry II MIT Department of Chemistry Lecture 32: Vibrational Spectroscopy and the IR

5.04, Principles of Inorganic Chemistry II MIT Department of Chemistry Lecture 32: Vibrational Spectroscopy and the IR 5.0, Prncples of Inorganc Chemstry II MIT Department of Chemstry Lecture 3: Vbratonal Spectroscopy and the IR Vbratonal spectroscopy s confned to the 00-5000 cm - spectral regon. The absorpton of a photon

More information

24. Atomic Spectra, Term Symbols and Hund s Rules

24. Atomic Spectra, Term Symbols and Hund s Rules Page of 4. Atomc Spectra, Term Symbols and Hund s Rules Date: 5 October 00 Suggested Readng: Chapters 8-8 to 8- of the text. Introducton Electron confguratons, at least n the forms used n general chemstry

More information

Linear Regression Analysis: Terminology and Notation

Linear Regression Analysis: Terminology and Notation ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Robert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations

Robert Eisberg Second edition CH 09 Multielectron atoms ground states and x-ray excitations Quantum Physcs 量 理 Robert Esberg Second edton CH 09 Multelectron atoms ground states and x-ray exctatons 9-01 By gong through the procedure ndcated n the text, develop the tme-ndependent Schroednger equaton

More information

Math1110 (Spring 2009) Prelim 3 - Solutions

Math1110 (Spring 2009) Prelim 3 - Solutions Math 1110 (Sprng 2009) Solutons to Prelm 3 (04/21/2009) 1 Queston 1. (16 ponts) Short answer. Math1110 (Sprng 2009) Prelm 3 - Solutons x a 1 (a) (4 ponts) Please evaluate lm, where a and b are postve numbers.

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

ESI-3D: Electron Sharing Indexes Program for 3D Molecular Space Partition

ESI-3D: Electron Sharing Indexes Program for 3D Molecular Space Partition ESI-3D: Electron Sharng Indexes Program for 3D Molecular Space Partton Insttute of Computatonal Chemstry (Grona), 006. Report bugs to Eduard Matto: eduard@qc.udg.es or ematto@gmal.com The Electron Sharng

More information

FREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced,

FREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced, FREQUENCY DISTRIBUTIONS Page 1 of 6 I. Introducton 1. The dea of a frequency dstrbuton for sets of observatons wll be ntroduced, together wth some of the mechancs for constructng dstrbutons of data. Then

More information

The Gaussian classifier. Nuno Vasconcelos ECE Department, UCSD

The Gaussian classifier. Nuno Vasconcelos ECE Department, UCSD he Gaussan classfer Nuno Vasconcelos ECE Department, UCSD Bayesan decson theory recall that we have state of the world X observatons g decson functon L[g,y] loss of predctng y wth g Bayes decson rule s

More information

Temperature. Chapter Heat Engine

Temperature. Chapter Heat Engine Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the

More information

Electronic structure / bonding in d-block complexes

Electronic structure / bonding in d-block complexes LN05-1 Electronic structure / bonding in d-block complexes Many, many properties of transition metal complexes (coordination number, structure, colour, magnetism, reactivity) are very sensitive to the

More information

Complex Atoms; The Exclusion Principle and the Periodic System

Complex Atoms; The Exclusion Principle and the Periodic System Complex Atoms; The Excluson Prncple and the Perodc System In order to understand the electron dstrbutons n atoms, another prncple s needed. Ths s the Paul excluson prncple: No two electrons n an atom can

More information

Chapter 20 d-metal complexes: electronic structures and properties

Chapter 20 d-metal complexes: electronic structures and properties CHEM 511 Chapter 20 page 1 of 21 Chapter 20 d-metal complexes: electronic structures and properties Recall the shape of the d-orbitals... Electronic structure Crystal Field Theory: an electrostatic approach

More information

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton

More information

Math 426: Probability MWF 1pm, Gasson 310 Homework 4 Selected Solutions

Math 426: Probability MWF 1pm, Gasson 310 Homework 4 Selected Solutions Exercses from Ross, 3, : Math 26: Probablty MWF pm, Gasson 30 Homework Selected Solutons 3, p. 05 Problems 76, 86 3, p. 06 Theoretcal exercses 3, 6, p. 63 Problems 5, 0, 20, p. 69 Theoretcal exercses 2,

More information

CHEMISTRY Midterm #2 answer key October 25, 2005

CHEMISTRY Midterm #2 answer key October 25, 2005 CHEMISTRY 123-01 Mdterm #2 answer key October 25, 2005 Statstcs: Average: 70 pts (70%); Hghest: 97 pts (97%); Lowest: 33 pts (33%) Number of students performng at or above average: 62 (63%) Number of students

More information

Multi-electron atoms (11) 2010 update Extend the H-atom picture to more than 1 electron: H-atom sol'n use for N-elect., assume product wavefct.

Multi-electron atoms (11) 2010 update Extend the H-atom picture to more than 1 electron: H-atom sol'n use for N-elect., assume product wavefct. Mult-electron atoms (11) 2010 update Extend the H-atom pcture to more than 1 electron: VII 33 H-atom sol'n use for -elect., assume product wavefct. n ψ = φn l m where: ψ mult electron w/fct φ n l m one

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

Supplemental document

Supplemental document Electronc Supplementary Materal (ESI) for Physcal Chemstry Chemcal Physcs. Ths journal s the Owner Socetes 01 Supplemental document Behnam Nkoobakht School of Chemstry, The Unversty of Sydney, Sydney,

More information

= 1.23 m/s 2 [W] Required: t. Solution:!t = = 17 m/s [W]! m/s [W] (two extra digits carried) = 2.1 m/s [W]

= 1.23 m/s 2 [W] Required: t. Solution:!t = = 17 m/s [W]! m/s [W] (two extra digits carried) = 2.1 m/s [W] Secton 1.3: Acceleraton Tutoral 1 Practce, page 24 1. Gven: 0 m/s; 15.0 m/s [S]; t 12.5 s Requred: Analyss: a av v t v f v t a v av f v t 15.0 m/s [S] 0 m/s 12.5 s 15.0 m/s [S] 12.5 s 1.20 m/s 2 [S] Statement:

More information

G4023 Mid-Term Exam #1 Solutions

G4023 Mid-Term Exam #1 Solutions Exam1Solutons.nb 1 G03 Md-Term Exam #1 Solutons 1-Oct-0, 1:10 p.m to :5 p.m n 1 Pupn Ths exam s open-book, open-notes. You may also use prnt-outs of the homework solutons and a calculator. 1 (30 ponts,

More information

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space. Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +

More information

Math 217 Fall 2013 Homework 2 Solutions

Math 217 Fall 2013 Homework 2 Solutions Math 17 Fall 013 Homework Solutons Due Thursday Sept. 6, 013 5pm Ths homework conssts of 6 problems of 5 ponts each. The total s 30. You need to fully justfy your answer prove that your functon ndeed has

More information

Note on the Electron EDM

Note on the Electron EDM Note on the Electron EDM W R Johnson October 25, 2002 Abstract Ths s a note on the setup of an electron EDM calculaton and Schff s Theorem 1 Basc Relatons The well-known relatvstc nteracton of the electron

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

STAT 511 FINAL EXAM NAME Spring 2001

STAT 511 FINAL EXAM NAME Spring 2001 STAT 5 FINAL EXAM NAME Sprng Instructons: Ths s a closed book exam. No notes or books are allowed. ou may use a calculator but you are not allowed to store notes or formulas n the calculator. Please wrte

More information

A LINEAR PROGRAM TO COMPARE MULTIPLE GROSS CREDIT LOSS FORECASTS. Dr. Derald E. Wentzien, Wesley College, (302) ,

A LINEAR PROGRAM TO COMPARE MULTIPLE GROSS CREDIT LOSS FORECASTS. Dr. Derald E. Wentzien, Wesley College, (302) , A LINEAR PROGRAM TO COMPARE MULTIPLE GROSS CREDIT LOSS FORECASTS Dr. Derald E. Wentzen, Wesley College, (302) 736-2574, wentzde@wesley.edu ABSTRACT A lnear programmng model s developed and used to compare

More information

Molecular orbitals for σbonding in T d complexes

Molecular orbitals for σbonding in T d complexes Molecular orbitals for σbonding in T d complexes The set of n A B σ bonds in AB n (T d n = 4) molecules are often thought of as independent entities. The concept of MO s allows us to begin with a very

More information

Chapter 9: Statistical Inference and the Relationship between Two Variables

Chapter 9: Statistical Inference and the Relationship between Two Variables Chapter 9: Statstcal Inference and the Relatonshp between Two Varables Key Words The Regresson Model The Sample Regresson Equaton The Pearson Correlaton Coeffcent Learnng Outcomes After studyng ths chapter,

More information

THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructions

THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructions THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructons by George Hardgrove Chemstry Department St. Olaf College Northfeld, MN 55057 hardgrov@lars.acc.stolaf.edu Copyrght George

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

THERMAL DISTRIBUTION IN THE HCL SPECTRUM OBJECTIVE

THERMAL DISTRIBUTION IN THE HCL SPECTRUM OBJECTIVE ame: THERMAL DISTRIBUTIO I THE HCL SPECTRUM OBJECTIVE To nvestgate a system s thermal dstrbuton n dscrete states; specfcally, determne HCl gas temperature from the relatve occupatons of ts rotatonal states.

More information

Canonical transformations

Canonical transformations Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,

More information

Cr(II) or Cr 2+ Consider the octahedral complex Cr[(en) 3 ] 2+ Octahedral complex with 4 d electrons. Octahedral complex with 4 d electrons

Cr(II) or Cr 2+ Consider the octahedral complex Cr[(en) 3 ] 2+ Octahedral complex with 4 d electrons. Octahedral complex with 4 d electrons Cr [Ar] 4s 1 3d 5 Cr 2+ [Ar] 3d 4 Consider the octahedral complex Cr[(en) 3 ] 2+ Cr(II) or Cr 2+ Pairing energy Octahedral complex with 4 d electrons Octahedral complex with 4 d electrons Δ is large Δ

More information

Physics 114 Exam 3 Spring Name:

Physics 114 Exam 3 Spring Name: Physcs 114 Exam 3 Sprng 015 Name: For gradng purposes (do not wrte here): Queston 1. 1... 3. 3. Problem 4. Answer each of the followng questons. Ponts for each queston are ndcated n red. Unless otherwse

More information

MAE140 - Linear Circuits - Winter 16 Midterm, February 5

MAE140 - Linear Circuits - Winter 16 Midterm, February 5 Instructons ME140 - Lnear Crcuts - Wnter 16 Mdterm, February 5 () Ths exam s open book. You may use whatever wrtten materals you choose, ncludng your class notes and textbook. You may use a hand calculator

More information

Week 9 Chapter 10 Section 1-5

Week 9 Chapter 10 Section 1-5 Week 9 Chapter 10 Secton 1-5 Rotaton Rgd Object A rgd object s one that s nondeformable The relatve locatons of all partcles makng up the object reman constant All real objects are deformable to some extent,

More information

ECONOMICS 351*-A Mid-Term Exam -- Fall Term 2000 Page 1 of 13 pages. QUEEN'S UNIVERSITY AT KINGSTON Department of Economics

ECONOMICS 351*-A Mid-Term Exam -- Fall Term 2000 Page 1 of 13 pages. QUEEN'S UNIVERSITY AT KINGSTON Department of Economics ECOOMICS 35*-A Md-Term Exam -- Fall Term 000 Page of 3 pages QUEE'S UIVERSITY AT KIGSTO Department of Economcs ECOOMICS 35* - Secton A Introductory Econometrcs Fall Term 000 MID-TERM EAM ASWERS MG Abbott

More information

Physics 4B. A positive value is obtained, so the current is counterclockwise around the circuit.

Physics 4B. A positive value is obtained, so the current is counterclockwise around the circuit. Physcs 4B Solutons to Chapter 7 HW Chapter 7: Questons:, 8, 0 Problems:,,, 45, 48,,, 7, 9 Queston 7- (a) no (b) yes (c) all te Queston 7-8 0 μc Queston 7-0, c;, a;, d; 4, b Problem 7- (a) Let be the current

More information

arxiv:cs.cv/ Jun 2000

arxiv:cs.cv/ Jun 2000 Correlaton over Decomposed Sgnals: A Non-Lnear Approach to Fast and Effectve Sequences Comparson Lucano da Fontoura Costa arxv:cs.cv/0006040 28 Jun 2000 Cybernetc Vson Research Group IFSC Unversty of São

More information

2/9/2010. anti aromatic. non aromatic. Aromatic = stabilization due to cyclic deolcalization of electrons.

2/9/2010. anti aromatic. non aromatic. Aromatic = stabilization due to cyclic deolcalization of electrons. rrange the followng wth respect to ncreasng stablty due to π- electron delocalzaton? romatc = stablzaton due to cyclc deolcalzaton of ant non ant lots of delocalzaton no delocalzaton some delocalzaton

More information

EXAM INFORMATION. Harmonic Oscillator. Anharmonic Oscillator 1 ~ 1. Rigid Rotor

EXAM INFORMATION. Harmonic Oscillator. Anharmonic Oscillator 1 ~ 1. Rigid Rotor EXAM INFORMATION Harmonc Oscllator Hamltonan: H d dx 1 kx Energy Levels: 1 k mm 1 En n n 0,1,, c m m 1 Anharmonc Oscllator Energy Levels: E n 1 ~ 1 n hc n hcx ~ e n 0,1,,... Rgd Rotor Quantum Numbers:

More information

Chemistry 3211 Coordination Chemistry Part 3 Ligand Field and Molecular Orbital Theory

Chemistry 3211 Coordination Chemistry Part 3 Ligand Field and Molecular Orbital Theory Chemistry 3211 Coordination Chemistry Part 3 Ligand Field and Molecular Orbital Theory Electronic Structure of Six and Four-Coordinate Complexes Using Crystal Field Theory, we can generate energy level

More information

First day August 1, Problems and Solutions

First day August 1, Problems and Solutions FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 997, Plovdv, BULGARIA Frst day August, 997 Problems and Solutons Problem. Let {ε n } n= be a sequence of postve

More information

1. Estimation, Approximation and Errors Percentages Polynomials and Formulas Identities and Factorization 52

1. Estimation, Approximation and Errors Percentages Polynomials and Formulas Identities and Factorization 52 ontents ommonly Used Formulas. Estmaton, pproxmaton and Errors. Percentages. Polynomals and Formulas 8. Identtes and Factorzaton. Equatons and Inequaltes 66 6. Rate and Rato 8 7. Laws of Integral Indces

More information

Problem Points Score Total 100

Problem Points Score Total 100 Physcs 450 Solutons of Sample Exam I Problem Ponts Score 1 8 15 3 17 4 0 5 0 Total 100 All wor must be shown n order to receve full credt. Wor must be legble and comprehensble wth answers clearly ndcated.

More information

Please review the following statement: I certify that I have not given unauthorized aid nor have I received aid in the completion of this exam.

Please review the following statement: I certify that I have not given unauthorized aid nor have I received aid in the completion of this exam. ME 270 Sprng 2014 Fnal Exam NME (Last, Frst): Please revew the followng statement: I certfy that I have not gven unauthorzed ad nor have I receved ad n the completon of ths exam. Sgnature: INSTRUCTIONS

More information

find (x): given element x, return the canonical element of the set containing x;

find (x): given element x, return the canonical element of the set containing x; COS 43 Sprng, 009 Dsjont Set Unon Problem: Mantan a collecton of dsjont sets. Two operatons: fnd the set contanng a gven element; unte two sets nto one (destructvely). Approach: Canoncal element method:

More information

PAijpam.eu SOME NEW SUM PERFECT SQUARE GRAPHS S.G. Sonchhatra 1, G.V. Ghodasara 2

PAijpam.eu SOME NEW SUM PERFECT SQUARE GRAPHS S.G. Sonchhatra 1, G.V. Ghodasara 2 Internatonal Journal of Pure and Appled Mathematcs Volume 113 No. 3 2017, 489-499 ISSN: 1311-8080 (prnted verson); ISSN: 1314-3395 (on-lne verson) url: http://www.jpam.eu do: 10.12732/jpam.v1133.11 PAjpam.eu

More information

SIMPLE LINEAR REGRESSION

SIMPLE LINEAR REGRESSION Smple Lnear Regresson and Correlaton Introducton Prevousl, our attenton has been focused on one varable whch we desgnated b x. Frequentl, t s desrable to learn somethng about the relatonshp between two

More information

WINTER 2017 EXAMINATION

WINTER 2017 EXAMINATION (ISO/IEC - 700-00 Certfed) WINTER 07 EXAMINATION Model wer ject Code: Important Instructons to Eamners: ) The answers should be eamned by key words and not as word-to-word as gven n the model answer scheme.

More information

Polynomial Regression Models

Polynomial Regression Models LINEAR REGRESSION ANALYSIS MODULE XII Lecture - 6 Polynomal Regresson Models Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur Test of sgnfcance To test the sgnfcance

More information

Chapter 11: Simple Linear Regression and Correlation

Chapter 11: Simple Linear Regression and Correlation Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests

More information

COLLEGE OF ENGINEERING PUTRAJAYA CAMPUS FINAL EXAMINATION SPECIAL SEMESTER 2013 / 2014

COLLEGE OF ENGINEERING PUTRAJAYA CAMPUS FINAL EXAMINATION SPECIAL SEMESTER 2013 / 2014 OLLEGE OF ENGNEENG PUTAJAYA AMPUS FNAL EXAMNATON SPEAL SEMESTE 03 / 04 POGAMME SUBJET ODE SUBJET : Bachelor of Electrcal & Electroncs Engneerng (Honours) Bachelor of Electrcal Power Engneerng (Honours)

More information

CHAPTER 17 Amortized Analysis

CHAPTER 17 Amortized Analysis CHAPTER 7 Amortzed Analyss In an amortzed analyss, the tme requred to perform a sequence of data structure operatons s averaged over all the operatons performed. It can be used to show that the average

More information

INDUCTANCE. RC Cicuits vs LR Circuits

INDUCTANCE. RC Cicuits vs LR Circuits INDUTANE R cuts vs LR rcuts R rcut hargng (battery s connected): (1/ )q + (R)dq/ dt LR rcut = (R) + (L)d/ dt q = e -t/ R ) = / R(1 - e -(R/ L)t ) q ncreases from 0 to = dq/ dt decreases from / R to 0 Dschargng

More information

Department of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution

Department of Statistics University of Toronto STA305H1S / 1004 HS Design and Analysis of Experiments Term Test - Winter Solution Department of Statstcs Unversty of Toronto STA35HS / HS Desgn and Analyss of Experments Term Test - Wnter - Soluton February, Last Name: Frst Name: Student Number: Instructons: Tme: hours. Ads: a non-programmable

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

More information

- an approach to bonding that is useful for making estimates of E of orbitals in coordination complexes

- an approach to bonding that is useful for making estimates of E of orbitals in coordination complexes 10.4 Angular Overlap - an approach to bonding that is useful for making estimates of E of orbitals in coordination complexes - estimate the strength of interaction b/w ligand orbitals & metal d orbitals

More information

Chem 673, Problem Set 5 Due Thursday, November 29, 2007

Chem 673, Problem Set 5 Due Thursday, November 29, 2007 Chem 673, Problem Set 5 Due Thursday, November 29, 2007 (1) Trigonal prismatic coordination is fairly common in solid-state inorganic chemistry. In most cases the geometry of the trigonal prism is such

More information

Statistics MINITAB - Lab 2

Statistics MINITAB - Lab 2 Statstcs 20080 MINITAB - Lab 2 1. Smple Lnear Regresson In smple lnear regresson we attempt to model a lnear relatonshp between two varables wth a straght lne and make statstcal nferences concernng that

More information

Lecture 5.8 Flux Vector Splitting

Lecture 5.8 Flux Vector Splitting Lecture 5.8 Flux Vector Splttng 1 Flux Vector Splttng The vector E n (5.7.) can be rewrtten as E = AU (5.8.1) (wth A as gven n (5.7.4) or (5.7.6) ) whenever, the equaton of state s of the separable form

More information

First Year Examination Department of Statistics, University of Florida

First Year Examination Department of Statistics, University of Florida Frst Year Examnaton Department of Statstcs, Unversty of Florda May 7, 010, 8:00 am - 1:00 noon Instructons: 1. You have four hours to answer questons n ths examnaton.. You must show your work to receve

More information

Coordination Chemistry: Bonding Theories. Crystal Field Theory. Chapter 20

Coordination Chemistry: Bonding Theories. Crystal Field Theory. Chapter 20 Coordination Chemistry: Bonding Theories Crystal Field Theory Chapter 0 Review of the Previous Lecture 1. We discussed different types of isomerism in coordination chemistry Structural or constitutional

More information

Société de Calcul Mathématique SA

Société de Calcul Mathématique SA Socété de Calcul Mathématque SA Outls d'ade à la décson Tools for decson help Probablstc Studes: Normalzng the Hstograms Bernard Beauzamy December, 202 I. General constructon of the hstogram Any probablstc

More information

Complex Numbers Alpha, Round 1 Test #123

Complex Numbers Alpha, Round 1 Test #123 Complex Numbers Alpha, Round Test #3. Wrte your 6-dgt ID# n the I.D. NUMBER grd, left-justfed, and bubble. Check that each column has only one number darkened.. In the EXAM NO. grd, wrte the 3-dgt Test

More information

However, since P is a symmetric idempotent matrix, of P are either 0 or 1 [Eigen-values

However, since P is a symmetric idempotent matrix, of P are either 0 or 1 [Eigen-values Fall 007 Soluton to Mdterm Examnaton STAT 7 Dr. Goel. [0 ponts] For the general lnear model = X + ε, wth uncorrelated errors havng mean zero and varance σ, suppose that the desgn matrx X s not necessarly

More information

On the set of natural numbers

On the set of natural numbers On the set of natural numbers by Jalton C. Ferrera Copyrght 2001 Jalton da Costa Ferrera Introducton The natural numbers have been understood as fnte numbers, ths wor tres to show that the natural numbers

More information

arxiv:quant-ph/ Jul 2002

arxiv:quant-ph/ Jul 2002 Lnear optcs mplementaton of general two-photon proectve measurement Andrze Grudka* and Anton Wóck** Faculty of Physcs, Adam Mckewcz Unversty, arxv:quant-ph/ 9 Jul PXOWRZVNDR]QDRODQG Abstract We wll present

More information

MAE140 - Linear Circuits - Fall 13 Midterm, October 31

MAE140 - Linear Circuits - Fall 13 Midterm, October 31 Instructons ME140 - Lnear Crcuts - Fall 13 Mdterm, October 31 () Ths exam s open book. You may use whatever wrtten materals you choose, ncludng your class notes and textbook. You may use a hand calculator

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

Probabilistic method to determine electron correlation energy

Probabilistic method to determine electron correlation energy Probablstc method to determne electron elaton energy T.R.S. Prasanna Department of Metallurgcal Engneerng and Materals Scence Indan Insttute of Technology, Bombay Mumba 400076 Inda A new method to determne

More information

Physics 114 Exam 2 Spring Name:

Physics 114 Exam 2 Spring Name: Physcs 114 Exam Sprng 013 Name: For gradng purposes (do not wrte here): Queston 1. 1... 3. 3. Problem Answer each of the followng questons. Ponts for each queston are ndcated n red wth the amount beng

More information

/ n ) are compared. The logic is: if the two

/ n ) are compared. The logic is: if the two STAT C141, Sprng 2005 Lecture 13 Two sample tests One sample tests: examples of goodness of ft tests, where we are testng whether our data supports predctons. Two sample tests: called as tests of ndependence

More information

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg prnceton unv. F 17 cos 521: Advanced Algorthm Desgn Lecture 7: LP Dualty Lecturer: Matt Wenberg Scrbe: LP Dualty s an extremely useful tool for analyzng structural propertes of lnear programs. Whle there

More information

Important Instructions to the Examiners:

Important Instructions to the Examiners: Summer 0 Examnaton Subject & Code: asc Maths (70) Model Answer Page No: / Important Instructons to the Examners: ) The Answers should be examned by key words and not as word-to-word as gven n the model

More information

Lossy Compression. Compromise accuracy of reconstruction for increased compression.

Lossy Compression. Compromise accuracy of reconstruction for increased compression. Lossy Compresson Compromse accuracy of reconstructon for ncreased compresson. The reconstructon s usually vsbly ndstngushable from the orgnal mage. Typcally, one can get up to 0:1 compresson wth almost

More information

Name: SID: Discussion Session:

Name: SID: Discussion Session: Name: SID: Dscusson Sesson: Chemcal Engneerng Thermodynamcs 141 -- Fall 007 Thursday, November 15, 007 Mdterm II SOLUTIONS - 70 mnutes 110 Ponts Total Closed Book and Notes (0 ponts) 1. Evaluate whether

More information

Homework Assignment 3 Due in class, Thursday October 15

Homework Assignment 3 Due in class, Thursday October 15 Homework Assgnment 3 Due n class, Thursday October 15 SDS 383C Statstcal Modelng I 1 Rdge regresson and Lasso 1. Get the Prostrate cancer data from http://statweb.stanford.edu/~tbs/elemstatlearn/ datasets/prostate.data.

More information

Module 14: THE INTEGRAL Exploring Calculus

Module 14: THE INTEGRAL Exploring Calculus Module 14: THE INTEGRAL Explorng Calculus Part I Approxmatons and the Defnte Integral It was known n the 1600s before the calculus was developed that the area of an rregularly shaped regon could be approxmated

More information

5.76 Lecture #5 2/07/94 Page 1 of 10 pages. Lecture #5: Atoms: 1e and Alkali. centrifugal term ( +1)

5.76 Lecture #5 2/07/94 Page 1 of 10 pages. Lecture #5: Atoms: 1e and Alkali. centrifugal term ( +1) 5.76 Lecture #5 /07/94 Page 1 of 10 pages 1e Atoms: H, H + e, L +, etc. coupled and uncoupled bass sets Lecture #5: Atoms: 1e and Alkal centrfugal term (+1) r radal Schrödnger Equaton spn-orbt l s r 3

More information

2016 Wiley. Study Session 2: Ethical and Professional Standards Application

2016 Wiley. Study Session 2: Ethical and Professional Standards Application 6 Wley Study Sesson : Ethcal and Professonal Standards Applcaton LESSON : CORRECTION ANALYSIS Readng 9: Correlaton and Regresson LOS 9a: Calculate and nterpret a sample covarance and a sample correlaton

More information

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2 Physcs 607 Exam 1 Please be well-organzed, and show all sgnfcant steps clearly n all problems. You are graded on your wor, so please do not just wrte down answers wth no explanaton! Do all your wor on

More information

Chapter 3 Describing Data Using Numerical Measures

Chapter 3 Describing Data Using Numerical Measures Chapter 3 Student Lecture Notes 3-1 Chapter 3 Descrbng Data Usng Numercal Measures Fall 2006 Fundamentals of Busness Statstcs 1 Chapter Goals To establsh the usefulness of summary measures of data. The

More information

ˆ (0.10 m) E ( N m /C ) 36 ˆj ( j C m)

ˆ (0.10 m) E ( N m /C ) 36 ˆj ( j C m) 7.. = = 3 = 4 = 5. The electrc feld s constant everywhere between the plates. Ths s ndcated by the electrc feld vectors, whch are all the same length and n the same drecton. 7.5. Model: The dstances to

More information

PAPER No. 7: Inorganic chemistry II MODULE No. 5: Molecular Orbital Theory

PAPER No. 7: Inorganic chemistry II MODULE No. 5: Molecular Orbital Theory Subject Chemistry Paper No and Title Module No and Title Module Tag 7, Inorganic chemistry II 5, Molecular Orbital Theory CHE_P7_M5 TABLE OF CONTENTS 1. Learning Outcomes 2. Introduction to Ligand Field

More information

Maximizing the number of nonnegative subsets

Maximizing the number of nonnegative subsets Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum

More information

STAT 3008 Applied Regression Analysis

STAT 3008 Applied Regression Analysis STAT 3008 Appled Regresson Analyss Tutoral : Smple Lnear Regresson LAI Chun He Department of Statstcs, The Chnese Unversty of Hong Kong 1 Model Assumpton To quantfy the relatonshp between two factors,

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

Cathy Walker March 5, 2010

Cathy Walker March 5, 2010 Cathy Walker March 5, 010 Part : Problem Set 1. What s the level of measurement for the followng varables? a) SAT scores b) Number of tests or quzzes n statstcal course c) Acres of land devoted to corn

More information

5.60 Thermodynamics & Kinetics Spring 2008

5.60 Thermodynamics & Kinetics Spring 2008 MIT OpenCourseWare http://ocw.mt.edu 5.60 Thermodynamcs & Knetcs Sprng 2008 For nformaton about ctng these materals or our Terms of Use, vst: http://ocw.mt.edu/terms. 5.60 Sprng 2008 Lecture #29 page 1

More information

Problem Do any of the following determine homomorphisms from GL n (C) to GL n (C)?

Problem Do any of the following determine homomorphisms from GL n (C) to GL n (C)? Homework 8 solutons. Problem 16.1. Whch of the followng defne homomomorphsms from C\{0} to C\{0}? Answer. a) f 1 : z z Yes, f 1 s a homomorphsm. We have that z s the complex conjugate of z. If z 1,z 2

More information

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model EXACT OE-DIMESIOAL ISIG MODEL The one-dmensonal Isng model conssts of a chan of spns, each spn nteractng only wth ts two nearest neghbors. The smple Isng problem n one dmenson can be solved drectly n several

More information

CHAPTER 14 GENERAL PERTURBATION THEORY

CHAPTER 14 GENERAL PERTURBATION THEORY CHAPTER 4 GENERAL PERTURBATION THEORY 4 Introducton A partcle n orbt around a pont mass or a sphercally symmetrc mass dstrbuton s movng n a gravtatonal potental of the form GM / r In ths potental t moves

More information

ψ ij has the eigenvalue

ψ ij has the eigenvalue Moller Plesset Perturbaton Theory In Moller-Plesset (MP) perturbaton theory one taes the unperturbed Hamltonan for an atom or molecule as the sum of the one partcle Foc operators H F() where the egenfunctons

More information

SOLUTION/EXAMPLES. Contact during the exam: phone: , EXAM TBT4135 BIOPOLYMERS. 14 December Time:

SOLUTION/EXAMPLES. Contact during the exam: phone: , EXAM TBT4135 BIOPOLYMERS. 14 December Time: 1 NRWEGIN UNIVERSITY F SCIENCE ND TECHNLGY DEPRTMENT F BITECHNLGY Professor Bjørn E. Chrstensen, Department of Botechnology Contact durng the exam: phone: 73593327, 92634016 EXM TBT4135 BIPLYMERS 14 December

More information