Real-time TDDFT simulations within SIESTA. Daniel Sánchez-Portal, Rafi Ullah, Fabiano Corsetti, Miguel Pruneda and Emilio Artacho

Size: px
Start display at page:

Download "Real-time TDDFT simulations within SIESTA. Daniel Sánchez-Portal, Rafi Ullah, Fabiano Corsetti, Miguel Pruneda and Emilio Artacho"

Transcription

1 Real-ime TDDFT simulaios wihi SIESTA Daiel Sáchez-Poal, Rafi Ullah, Fabiao Cosei, Miguel Pueda ad Emilio Aacho

2 Mai objecive Apply eal-ime simulaios wihi ime-depede desiy fucioal heoy TDDFT o sudy eleco ad coupled eleco-io dyamics fo solids ad cluses Keywods: TDDFT o follow he eleco dyamics: Sadad appoach fo elecoic espose of solids Simila esuls o RPA wih less sophisicaed omal XC keels Real-ime simulaios as opposie o fequecy domai: Abiay peubaios, i.e., o-liea egime available Need fo vey sable algoihms fo ime evoluio Ehefes dyamics fo he coupled eleco-io dyamics

3 DFT- Koh Sham Idepede paicles i a effecive poeial ] [ ρ xc ex eff V V V Φ V eff ψ ε ψ ψ d ʹ ʹ ʹ Φ 3 ρ Haee poeial ] [ E V xc c x δρ ρ δ Exchage-coelaio poeial 2 e N ψ ρ wih

4 Exesio o ime depede siuaios: Time depede desiy fucioal heoy ˆ 1 0 H d A Ψ Ψ Time depede quaum evoluio ca be obaied fom a saioay poi of he acio A 0, 1 I pacice, TDKS equaios,,,, i V eff ψ ψ ψ ], [,,, j V V V xc ex eff ρ Φ ],,, [ 0 A A Ψ ρ TDDFT E. Ruge ad E. K.U. Goss, PRL 84

5 Sadad appoximaio also i SIESTA So-called adiabaic saic appoximaio fo he exchage-coelaio poeial Depeds o isaaeous desiy

6 Eleco dyamics i SIESTA I TD-KS equaios: i Ψ HΨ SIESTA LCAO: Ψ i, ρ, µ µ,ν c i µ φ µ ρ µν φ µ φ ν c ν H c ν µν µν is i c S 1 Hc

7 Eleco dyamics i SIESTA II Disceizaio of TD-KS equaios: Hc S c i / 1 c H S i c c Δ Fowad popagaio fo d/2 Backwads popagaio fo d/ / 1 Δ c H S i c c Cak-Nicholso c H is H is c Δ Δ Uiay by cosucio Good eegy cosevaio Time evesal symmey 1 O H H Δ

8 Applicaios o calculae opical adsopio A. Tsolakidis, D. Sáchez-Poal, R. M. Mai, PRB2002, adapig a ecipe by Yabaa ad Besch, PRB 1996 E D Low eegy peaks wih TDLDA σ SIESTA Yabaa Exp π D ω α ω E ω

9 TDDDFT vesus Koh-Sham esul No selfcosise Usual shif o highe eegies TDDFT A. Tsolakidis, D. Sáchez-Poal, R. M. Mai, Phys. Rev. B 66,

10 Respose of cabo aoubes o a exeal field pepedicula o he axis Sog depolaizaio effec E ex [ ] 3 ω Ag I α - m1 plasmo Ou calculaio fo he 3,3 ube i vey good ageeme wih he esuls L. Wiz, e al. Elecoic Popeies of Novel Maeials: XVIIh Ieaioal Wieschool, 2003 ad Maiopoulus, Reiig, Rubio,Vas, PRL, 2003

11 Resuls fo SWCNT of lage diamees E ex 3 [ ω ] Ag I α No se puede mosa la image. Puede que su equipo o ega suficiee memoia paa abi la image o que ésa esé dañada. Reiicie el equipo y, a coiuació, aba el achivo de uevo. Si sigue apaeciedo la x oja, puede que ega que boa la image e iseala de uevo. 3 [ ω ] Ag I α gaphee

12 m1 π plasmo as a fucio of he ube adius No se puede mosa la image. Puede que su equipo o ega suficiee memoia paa abi la image o que ésa esé dañada. Reiicie el equipo y, a coiuació, aba el achivo de uevo. Si sigue apaeciedo la x oja, puede que ega que boa la image e iseala de uevo.

13 Key appoximaios fo coupled eleco dyamics µ ψ c φµ Rµ ψ µ µ c µ φ µ c µ v. φ µ µ Basis se moveme gives ise o addiioal ems, depede o velociies, ha ae igoed i ou case. Isead we pefom he eleco dyamics fo saic ios ad pojec he wavefucios fom oe se of aomic posiios o he followig ick by Sakey ad Tomfoh. Isead we use a appoximae uiay pojeco opeao [poposed by Tomfoh ad Sakey, PSSb 2001] o fid he ew coefficies of he wavefucios i he aslaed basis se This woks well whe io velociies ae o vey lage Time sep used fo io dyamics is sufficiely small

14 Applicaio o sudy elecoic soppig powe i solids

15 Compuig he eegy loss TDDFT calculaio of he eegy loss as a fucio of he speed of he pojecile Vey simple fo a localized age: Add a peubaio ad.. 1 Displace he peubaio wih cosa velociy ad ecod he oal eegy 2 Compue he foce o pojecile ad iegae ΔE Eegy và 0 ΔE ~0 Localized scaee posiio Will somehig simila wok fo a solid?

16 Solids? Peiodic bouday codiios: fiie size effecs Iiially saic peubaio: asie effecs? Achievig a saioay egime is ecessay fo a meaigful defiiio of he soppig powe i solids: de dx 1 v de d

17 Mai esul Real-ime TDDFT simulaios seem o wok o sudy elecoic soppig i solids Peiodic bouday codiios/fiie size effecs do o seems o affec fo supecells of easoable size, a leas a low velociies < 0.5 a.u. Vey bief asies Saioay icease of he eegy achieved, allowig fo he defiiio of a elecoic soppig powe

18 H i Gemaium 96 aoms supecell up o 144 i checks ΔE elec. o. ev Δν0.05 a.u a.u. [001] chael a.u z Boh R Ullah, F Cosei, D Sachez-Poal & E Aacho PRB 2015

19 H i Gemaium Expeimeal daa: D. Roh, D. Goebl, D. Pimezhofe, ad P. Baue, NIMB v h v h exp ~ 0.03 a.u. v h [001] ~0.05 a.u. v h [111] ~0.03 a.u. v h [011] ~0.03 a.u. Elecoic soppig powe vs velociy R Ullah, F Cosei, D Sachez-Poal & E Aacho PRB 2015

20 H i gemaium: Small-gap semicoduco Adiabaic sceeig Dyamic v 0.5 a.u. sceeig R Ullah, F Cosei, D Sachez-Poal & E Aacho, PRB 2015

21 Elecoic soppig of H ad He i gold Exp-Th compaiso A Zeb, J Kohaoff, D Sachez-Poal, A Aau, JI Juaisi & E Aacho PRL 2012

22 Coclusio RT-TDDFT comig soo ex SIESTA elease, aleady i uk vesio ad available i lauchpad Alhough somewha less opimized ha he goud sae calculaios i allows sudyig he opical popeies ad he espose of he sysem o peubaios beyod he liea egime fo sysems coaiig up o hudeds aoms So fa i has bee successfully esed o sudy he opical popeies of aosucues ad he elecoic ficio i he pocess of ieacio of fas ios wih solids.

TDCDFT: Nonlinear regime

TDCDFT: Nonlinear regime Lecue 3 TDCDFT: Noliea egime Case A. Ullich Uivesiy of Missoui Beasque Sepembe 2008 Oveview Lecue I: Basic fomalism of TDCDFT Lecue II: Applicaios of TDCDFT i liea espose Lecue III: TDCDFT i he oliea egime

More information

Supplementary Information

Supplementary Information Supplemeay Ifomaio No-ivasive, asie deemiaio of he coe empeaue of a hea-geeaig solid body Dea Ahoy, Daipaya Saka, Aku Jai * Mechaical ad Aeospace Egieeig Depame Uivesiy of Texas a Aligo, Aligo, TX, USA.

More information

Statistical Optics and Free Electron Lasers

Statistical Optics and Free Electron Lasers Saisical Opics ad Fee leco Lases ialuca eloi uopea XFL Los Ageles UCLA Jauay 5 h 07 Saisical Opics ad Fee leco Lases Theoy ialuca eloi UCLA Los Ageles Jauay 5 h 07 is difficul if o impossible o coceive

More information

Transistor configurations: There are three main ways to place a FET/BJT in an architecture:

Transistor configurations: There are three main ways to place a FET/BJT in an architecture: F3 Mo 0. Amplifie Achiecues Whe a asiso is used i a amplifie, oscillao, file, seso, ec. i will also be a eed fo passive elemes like esisos, capacios ad coils o povide biasig so ha he asiso has he coec

More information

INF 5460 Electronic noise Estimates and countermeasures. Lecture 13 (Mot 10) Amplifier Architectures

INF 5460 Electronic noise Estimates and countermeasures. Lecture 13 (Mot 10) Amplifier Architectures NF 5460 lecoic oise simaes ad couemeasues Lecue 3 (Mo 0) Amplifie Achiecues Whe a asiso is used i a amplifie, oscillao, file, seso, ec. i will also be a eed fo passive elemes like esisos, capacios ad coils

More information

Capítulo. of Particles: Energy and Momentum Methods

Capítulo. of Particles: Energy and Momentum Methods Capíulo 5 Kieics of Paicles: Eegy ad Momeum Mehods Mecáica II Coes Ioducio Wok of a Foce Piciple of Wok & Eegy pplicaios of he Piciple of Wok & Eegy Powe ad Efficiecy Sample Poblem 3. Sample Poblem 3.

More information

Spectrum of The Direct Sum of Operators. 1. Introduction

Spectrum of The Direct Sum of Operators. 1. Introduction Specu of The Diec Su of Opeaos by E.OTKUN ÇEVİK ad Z.I.ISMILOV Kaadeiz Techical Uivesiy, Faculy of Scieces, Depae of Maheaics 6080 Tabzo, TURKEY e-ail adess : zaeddi@yahoo.co bsac: I his wok, a coecio

More information

Comparing Different Estimators for Parameters of Kumaraswamy Distribution

Comparing Different Estimators for Parameters of Kumaraswamy Distribution Compaig Diffee Esimaos fo Paamees of Kumaaswamy Disibuio ا.م.د نذير عباس ابراهيم الشمري جامعة النهرين/بغداد-العراق أ.م.د نشات جاسم محمد الجامعة التقنية الوسطى/بغداد- العراق Absac: This pape deals wih compaig

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

On imploding cylindrical and spherical shock waves in a perfect gas

On imploding cylindrical and spherical shock waves in a perfect gas J. Fluid Mech. (2006), vol. 560, pp. 103 122. c 2006 Cambidge Uivesiy Pess doi:10.1017/s0022112006000590 Pied i he Uied Kigdom 103 O implodig cylidical ad spheical shock waves i a pefec gas By N. F. PONCHAUT,

More information

On a Z-Transformation Approach to a Continuous-Time Markov Process with Nonfixed Transition Rates

On a Z-Transformation Approach to a Continuous-Time Markov Process with Nonfixed Transition Rates Ge. Mah. Noes, Vol. 24, No. 2, Ocobe 24, pp. 85-96 ISSN 229-784; Copyigh ICSRS Publicaio, 24 www.i-css.og Available fee olie a hp://www.gema.i O a Z-Tasfomaio Appoach o a Coiuous-Time Maov Pocess wih Nofixed

More information

Available online at J. Math. Comput. Sci. 2 (2012), No. 4, ISSN:

Available online at   J. Math. Comput. Sci. 2 (2012), No. 4, ISSN: Available olie a h://scik.og J. Mah. Comu. Sci. 2 (22), No. 4, 83-835 ISSN: 927-537 UNBIASED ESTIMATION IN BURR DISTRIBUTION YASHBIR SINGH * Deame of Saisics, School of Mahemaics, Saisics ad Comuaioal

More information

COST OPTIMIZATION OF SLAB MILLING OPERATION USING GENETIC ALGORITHMS

COST OPTIMIZATION OF SLAB MILLING OPERATION USING GENETIC ALGORITHMS COST OPTIMIZATIO OF SLAB MILLIG OPERATIO USIG GEETIC ALGORITHMS Bhavsa, S.. ad Saghvi, R.C. G H Pael College of Egieeig ad Techology, Vallah Vidyaaga 388 20, Aad, Gujaa E-mail:sake976@yahoo.co.i; ajeshsaghvi@gce.ac.i

More information

Lecture 9: Advanced DFT concepts: The Exchange-correlation functional and time-dependent DFT

Lecture 9: Advanced DFT concepts: The Exchange-correlation functional and time-dependent DFT Lecure 9: Advanced DFT conceps: The Exchange-correlaion funcional and ime-dependen DFT Marie Curie Tuorial Series: Modeling Biomolecules December 6-11, 2004 Mark Tuckerman Dep. of Chemisry and Couran Insiue

More information

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017 Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

Calculus BC 2015 Scoring Guidelines

Calculus BC 2015 Scoring Guidelines AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home

More information

THE SOIL STRUCTURE INTERACTION ANALYSIS BASED ON SUBSTRUCTURE METHOD IN TIME DOMAIN

THE SOIL STRUCTURE INTERACTION ANALYSIS BASED ON SUBSTRUCTURE METHOD IN TIME DOMAIN THE SOIL STRUCTURE INTERACTION ANALYSIS BASED ON SUBSTRUCTURE METHOD IN TIME DOMAIN Musafa KUTANIS Ad Muzaffe ELMAS 2 SUMMARY I is pape, a vaiaio of e FEM wic is so-called geeal subsucue meod is caied

More information

The Eigen Function of Linear Systems

The Eigen Function of Linear Systems 1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =

More information

Actuarial Society of India

Actuarial Society of India Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!

More information

5.74 Introductory Quantum Mechanics II

5.74 Introductory Quantum Mechanics II MIT OpeCourseWare hp://ocw.mi.edu 5.74 Iroducory Quaum Mechaics II Sprig 009 For iformaio aou ciig hese maerials or our Terms of Use, visi: hp://ocw.mi.edu/erms. drei Tokmakoff, MIT Deparme of Chemisry,

More information

Applications of force vibration. Rotating unbalance Base excitation Vibration measurement devices

Applications of force vibration. Rotating unbalance Base excitation Vibration measurement devices Applicaios of foce viaio Roaig ualace Base exciaio Viaio easuee devices Roaig ualace 1 Roaig ualace: Viaio caused y iegulaiies i he disiuio of he ass i he oaig copoe. Roaig ualace 0 FBD 1 FBD x x 0 e 0

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION Malaysia Joural of Mahemaical Scieces 2(2): 55-6 (28) The Soluio of he Oe Species Loka-Volerra Equaio Usig Variaioal Ieraio Mehod B. Baiha, M.S.M. Noorai, I. Hashim School of Mahemaical Scieces, Uiversii

More information

r P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2 " P 1 = " #P L L,

r P + '% 2 r v(r) End pressures P 1 (high) and P 2 (low) P 1 , which must be independent of z, so # dz dz = P 2  P 1 =  #P L L, Lecue 36 Pipe Flow and Low-eynolds numbe hydodynamics 36.1 eading fo Lecues 34-35: PKT Chape 12. Will y fo Monday?: new daa shee and daf fomula shee fo final exam. Ou saing poin fo hydodynamics ae wo equaions:

More information

Low-complexity Algorithms for MIMO Multiplexing Systems

Low-complexity Algorithms for MIMO Multiplexing Systems Low-complexiy Algoihms fo MIMO Muliplexing Sysems Ouline Inoducion QRD-M M algoihm Algoihm I: : o educe he numbe of suviving pahs. Algoihm II: : o educe he numbe of candidaes fo each ansmied signal. :

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

ELECTROOSMOTIC FLOW IN A MICROCHANNEL PACKED WITH MICROSPHERES

ELECTROOSMOTIC FLOW IN A MICROCHANNEL PACKED WITH MICROSPHERES ELECTROOSMOTIC FLOW IN A MICROCHANNEL PACKED WITH MICROSPHERES KANG YUEJUN SCHOOL OF MECHANICAL & AEROSPACE ENGINEERING NANYANG TECHNOLOGICAL UNIVERSITY 5 Elecoosmoic Flow i a Micochael Packed wih Micosphees

More information

On Fractional Governing Equations of Spherical Particles Settling in Water

On Fractional Governing Equations of Spherical Particles Settling in Water Ameica Joual of Egieeig, Techology ad Sociey 7; 4(6): 5-9 hp://www.opescieceolie.com/joual/ajes ISSN: 38-67 (Pi); ISSN: 38-68X (Olie) O Facioal Goveig Equaios of Spheical Paicles Selig i Wae Kama Ayub,

More information

Existence and Smoothness of Solution of Navier-Stokes Equation on R 3

Existence and Smoothness of Solution of Navier-Stokes Equation on R 3 Ieaioal Joual of Mode Noliea Theoy ad Applicaio, 5, 4, 7-6 Published Olie Jue 5 i SciRes. hp://www.scip.og/joual/ijma hp://dx.doi.og/.436/ijma.5.48 Exisece ad Smoohess of Soluio of Navie-Sokes Equaio o

More information

Harmonic excitation (damped)

Harmonic excitation (damped) Harmoic eciaio damped k m cos EOM: m&& c& k cos c && ζ & f cos The respose soluio ca be separaed io par;. Homogeeous soluio h. Paricular soluio p h p & ζ & && ζ & f cos Homogeeous soluio Homogeeous soluio

More information

S, we call the base curve and the director curve. The straight lines

S, we call the base curve and the director curve. The straight lines Developable Ruled Sufaces wih Daboux Fame i iowsi -Space Sezai KIZILTUĞ, Ali ÇAKAK ahemaics Depame, Faculy of As ad Sciece, Ezica Uivesiy, Ezica, Tuey ahemaics Depame, Faculy of Sciece, Aau Uivesiy, Ezuum,

More information

6.2 Improving Our 3-D Graphics Pipeline

6.2 Improving Our 3-D Graphics Pipeline 6.2. IMPROVING OUR 3-D GRAPHICS PIPELINE 8 6.2 Impovig Ou 3-D Gaphics Pipelie We iish ou basic 3D gaphics pipelie wih he implemeaio o pespecive. beoe we do his, we eview homogeeous coodiaes. 6.2. Homogeeous

More information

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP)

10.3 Autocorrelation Function of Ergodic RP 10.4 Power Spectral Density of Ergodic RP 10.5 Normal RP (Gaussian RP) ENGG450 Probabiliy ad Saisics for Egieers Iroducio 3 Probabiliy 4 Probabiliy disribuios 5 Probabiliy Desiies Orgaizaio ad descripio of daa 6 Samplig disribuios 7 Ifereces cocerig a mea 8 Comparig wo reames

More information

Comparisons Between RV, ARV and WRV

Comparisons Between RV, ARV and WRV Comparisos Bewee RV, ARV ad WRV Cao Gag,Guo Migyua School of Maageme ad Ecoomics, Tiaji Uiversiy, Tiaji,30007 Absrac: Realized Volailiy (RV) have bee widely used sice i was pu forward by Aderso ad Bollerslev

More information

Dynamics of Particle in a Box in Time Varying Potential Due to Chirped Laser Pulse

Dynamics of Particle in a Box in Time Varying Potential Due to Chirped Laser Pulse Joural of Moder Physics, 21, 1, 372-378 doi:1.4236/jmp.21.1653 Published Olie December 21 (hp://www.scirp.org/joural/jmp) Dyamics of Paricle i a Box i Time Varyig Poeial Due o Chirped Laser Pulse Absrac

More information

The Production of Polarization

The Production of Polarization Physics 36: Waves Lecue 13 3/31/211 The Poducion of Polaizaion Today we will alk abou he poducion of polaized ligh. We aleady inoduced he concep of he polaizaion of ligh, a ansvese EM wave. To biefly eview

More information

A Two-Level Quantum Analysis of ERP Data for Mock-Interrogation Trials. Michael Schillaci Jennifer Vendemia Robert Buzan Eric Green

A Two-Level Quantum Analysis of ERP Data for Mock-Interrogation Trials. Michael Schillaci Jennifer Vendemia Robert Buzan Eric Green A Two-Level Quaum Aalysis of ERP Daa for Mock-Ierrogaio Trials Michael Schillaci Jeifer Vedemia Rober Buza Eric Gree Oulie Experimeal Paradigm 4 Low Workload; Sigle Sessio; 39 8 High Workload; Muliple

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

Computer Propagation Analysis Tools

Computer Propagation Analysis Tools Compue Popagaion Analysis Tools. Compue Popagaion Analysis Tools Inoducion By now you ae pobably geing he idea ha pedicing eceived signal sengh is a eally impoan as in he design of a wieless communicaion

More information

, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t

, on the power of the transmitter P t fed to it, and on the distance R between the antenna and the observation point as. r r t Lecue 6: Fiis Tansmission Equaion and Rada Range Equaion (Fiis equaion. Maximum ange of a wieless link. Rada coss secion. Rada equaion. Maximum ange of a ada. 1. Fiis ansmission equaion Fiis ansmission

More information

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis Joural of aerials Sciece ad Egieerig B 5 (7-8 (5 - doi: 765/6-6/57-8 D DAVID PUBLISHING Opimizaio of Roaig achies Vibraios Limis by he Sprig - ass Sysem Aalysis BENDJAIA Belacem sila, Algéria Absrac: The

More information

F D D D D F. smoothed value of the data including Y t the most recent data.

F D D D D F. smoothed value of the data including Y t the most recent data. Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig

More information

Math-303 Chapter 7 Linear systems of ODE November 16, Chapter 7. Systems of 1 st Order Linear Differential Equations.

Math-303 Chapter 7 Linear systems of ODE November 16, Chapter 7. Systems of 1 st Order Linear Differential Equations. Mah-33 Chaper 7 Liear sysems of ODE November 6, 7 Chaper 7 Sysems of s Order Liear Differeial Equaios saddle poi λ >, λ < Mah-33 Chaper 7 Liear sysems of ODE November 6, 7 Mah-33 Chaper 7 Liear sysems

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

CASE STUDIES OF FLUID TRANSIENTS IN SUBCOOLED PIPE FLOW

CASE STUDIES OF FLUID TRANSIENTS IN SUBCOOLED PIPE FLOW CASE STUDIES OF FLUID TRANSIENTS IN SUBCOOLED PIPE FLOW Ao Bega, Lioso E.I. d.o.o., Sloveia, ao.bega@lioso-ei.si Adeas Dudlik, Fauhofe UMSICT, Gemay, du@umsich.fhg.de Ivo Pohof, WL Delf ydaulics, The Nehelads,

More information

Multiparameter Golay 2-complementary sequences and transforms

Multiparameter Golay 2-complementary sequences and transforms Mulipaamee Golay -plemeay sequeces ad asfoms V.G. Labues, V.P. Chasovsih, E. Osheime Ual Sae Foes Egieeig Uivesiy, Sibisy a, 37, Eaeibug, Russia, 6000 Capica LLC, Pompao Beach, Floida, USA Absac. I his

More information

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3

Samuel Sindayigaya 1, Nyongesa L. Kennedy 2, Adu A.M. Wasike 3 Ieraioal Joural of Saisics ad Aalysis. ISSN 48-9959 Volume 6, Number (6, pp. -8 Research Idia Publicaios hp://www.ripublicaio.com The Populaio Mea ad is Variace i he Presece of Geocide for a Simple Birh-Deah-

More information

Lecture 17: Kinetics of Phase Growth in a Two-component System:

Lecture 17: Kinetics of Phase Growth in a Two-component System: Lecue 17: Kineics of Phase Gowh in a Two-componen Sysem: descipion of diffusion flux acoss he α/ ineface Today s opics Majo asks of oday s Lecue: how o deive he diffusion flux of aoms. Once an incipien

More information

ECE-314 Fall 2012 Review Questions

ECE-314 Fall 2012 Review Questions ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.

More information

Clock Skew and Signal Representation

Clock Skew and Signal Representation Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio

More information

SHOCK AND VIBRATION RESPONSE SPECTRA COURSE Unit 21 Base Excitation Shock: Classical Pulse

SHOCK AND VIBRATION RESPONSE SPECTRA COURSE Unit 21 Base Excitation Shock: Classical Pulse SHOCK AND VIBRAION RESPONSE SPECRA COURSE Ui 1 Base Exciaio Shock: Classical Pulse By om Irvie Email: omirvie@aol.com Iroucio Cosier a srucure subjece o a base exciaio shock pulse. Base exciaio is also

More information

Linear Time Invariant Systems

Linear Time Invariant Systems 1 Liear Time Ivaria Sysems Oulie We will show ha he oupu equals he covoluio bewee he ipu ad he ui impulse respose: sysem for a discree-ime, for a coiuous-ime sysdem, y x h y x h 2 Discree Time LTI Sysems

More information

Journal of Xiamen University (Natural Science)

Journal of Xiamen University (Natural Science) 48 4 2009 7 () Joual of Xiame Uivesiy (Naual Sciece) Vol. 48 No. 4 J ul. 2009, 3 (, 36005) :,,.,,,.,.,. : ;;; : TP 393 :A :043820479 (2009) 0420493206,( dyamic age s). ( muliage sysems),, [ ], [2 ], [3

More information

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation

Lecture 18: Kinetics of Phase Growth in a Two-component System: general kinetics analysis based on the dilute-solution approximation Lecue 8: Kineics of Phase Gowh in a Two-componen Sysem: geneal kineics analysis based on he dilue-soluion appoximaion Today s opics: In he las Lecues, we leaned hee diffeen ways o descibe he diffusion

More information

The universal vector. Open Access Journal of Mathematical and Theoretical Physics [ ] Introduction [ ] ( 1)

The universal vector. Open Access Journal of Mathematical and Theoretical Physics [ ] Introduction [ ] ( 1) Ope Access Joural of Mahemaical ad Theoreical Physics Mii Review The uiversal vecor Ope Access Absrac This paper akes Asroheology mahemaics ad pus some of i i erms of liear algebra. All of physics ca be

More information

APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY

APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY ZHEN-GUO DENG ad GUO-CHENG WU 2, 3 * School of Mahemaics ad Iformaio Sciece, Guagi Uiversiy, Naig 534, PR Chia 2 Key Laboraory

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods"

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods Suppleme for SADAGRAD: Srogly Adapive Sochasic Gradie Mehods" Zaiyi Che * 1 Yi Xu * Ehog Che 1 iabao Yag 1. Proof of Proposiio 1 Proposiio 1. Le ɛ > 0 be fixed, H 0 γi, γ g, EF (w 1 ) F (w ) ɛ 0 ad ieraio

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations

Today - Lecture 13. Today s lecture continue with rotations, torque, Note that chapters 11, 12, 13 all involve rotations Today - Lecue 13 Today s lecue coninue wih oaions, oque, Noe ha chapes 11, 1, 13 all inole oaions slide 1 eiew Roaions Chapes 11 & 1 Viewed fom aboe (+z) Roaional, o angula elociy, gies angenial elociy

More information

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition

Four equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition LINEARIZING AND APPROXIMATING THE RBC MODEL SEPTEMBER 7, 200 For f( x, y, z ), mulivariable Taylor liear expasio aroud ( x, yz, ) f ( x, y, z) f( x, y, z) + f ( x, y, z)( x x) + f ( x, y, z)( y y) + f

More information

International Journal of Mathematics Trends and Technology (IJMTT) Volume 53 Number 5 January 2018

International Journal of Mathematics Trends and Technology (IJMTT) Volume 53 Number 5 January 2018 Ieraioal Joural of Mahemaics reds ad echology (IJM) Volume 53 Number 5 Jauary 18 Effecs of ime Depede acceleraio o he flow of Blood i rery wih periodic body acceleraio mi Gupa #1, Dr. GajedraSaraswa *,

More information

MITPress NewMath.cls LAT E X Book Style Size: 7x9 September 27, :04am. Contents

MITPress NewMath.cls LAT E X Book Style Size: 7x9 September 27, :04am. Contents Coes 1 Temporal filers 1 1.1 Modelig sequeces 1 1.2 Temporal filers 3 1.2.1 Temporal Gaussia 5 1.2.2 Temporal derivaives 6 1.2.3 Spaioemporal Gabor filers 8 1.3 Velociy-ued filers 9 Bibliography 13 1

More information

Analysis of Stress in PD Front End Solenoids I. Terechkine

Analysis of Stress in PD Front End Solenoids I. Terechkine TD-05-039 Sepembe 0, 005 I. Ioducio. Aalysis of Sess i PD Fo Ed Soleoids I. Teechkie Thee ae fou diffee ypes of supecoducig soleoids used fo beam focusig i he Fod Ed of he Poo Dive. Table 1 gives a idea

More information

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly

More information

Development of Kalman Filter and Analogs Schemes to Improve Numerical Weather Predictions

Development of Kalman Filter and Analogs Schemes to Improve Numerical Weather Predictions Developme of Kalma Filer ad Aalogs Schemes o Improve Numerical Weaher Predicios Luca Delle Moache *, Aimé Fourier, Yubao Liu, Gregory Roux, ad Thomas Warer (NCAR) Thomas Nipe, ad Rolad Sull (UBC) Wid Eergy

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

Introduction IJSER. spinless nucleus of charge Ze, where Z is the number of. magnetization densities of nucleus. [1].

Introduction IJSER. spinless nucleus of charge Ze, where Z is the number of. magnetization densities of nucleus. [1]. Ieaioal Joual o Scieiic & Egieeig Reseach, Volume 6, Issue, Decembe-015 367 Ielasic logiudial eleco scaeig C om acos i Ni Fias Z. Majeed 1 ad Fadhel M. Hmood* 1 1Depame o physics, College o Sciece, Baghdad

More information

3.012 Fund of Mat Sci: Bonding Lecture 1 bis. Photo courtesy of Malene Thyssen,

3.012 Fund of Mat Sci: Bonding Lecture 1 bis. Photo courtesy of Malene Thyssen, 3.012 Fund of Ma Sci: Bonding Lecue 1 bis WAVE MECHANICS Phoo couesy of Malene Thyssen, www.mfoo.dk/malene/ 3.012 Fundamenals of Maeials Science: Bonding - Nicola Mazai (MIT, Fall 2005) Las Time 1. Playes:

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming*

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming* The Eighh Ieraioal Symposium o Operaios esearch ad Is Applicaios (ISOA 9) Zhagjiajie Chia Sepember 2 22 29 Copyrigh 29 OSC & APOC pp 33 39 Some Properies of Semi-E-Covex Fucio ad Semi-E-Covex Programmig*

More information

Lecture 9: Polynomial Approximations

Lecture 9: Polynomial Approximations CS 70: Complexiy Theory /6/009 Lecure 9: Polyomial Approximaios Isrucor: Dieer va Melkebeek Scribe: Phil Rydzewski & Piramaayagam Arumuga Naiar Las ime, we proved ha o cosa deph circui ca evaluae he pariy

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

CAPACITY ANALYSIS OF ASYMPTOTICALLY LARGE MIMO CHANNELS. Georgy Levin

CAPACITY ANALYSIS OF ASYMPTOTICALLY LARGE MIMO CHANNELS. Georgy Levin CAPACITY ANALYSIS OF ASYMPTOTICALLY LAGE MIMO CANNELS by Geogy Levi The hesis submied o he Faculy of Gaduae ad Posdocoal Sudies i paial fulfillme of he equiemes fo he degee of DOCTO OF PILOSOPY i Elecical

More information

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation. ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio

More information

The Central Limit Theorems for Sums of Powers of Function of Independent Random Variables

The Central Limit Theorems for Sums of Powers of Function of Independent Random Variables ScieceAsia 8 () : 55-6 The Ceal Limi Theoems fo Sums of Poes of Fucio of Idepede Radom Vaiables K Laipapo a ad K Neammaee b a Depame of Mahemaics Walailak Uivesiy Nakho Si Thammaa 86 Thailad b Depame of

More information

Fourier transform. Continuous-time Fourier transform (CTFT) ω ω

Fourier transform. Continuous-time Fourier transform (CTFT) ω ω Fourier rasform Coiuous-ime Fourier rasform (CTFT P. Deoe ( he Fourier rasform of he sigal x(. Deermie he followig values, wihou compuig (. a (0 b ( d c ( si d ( d d e iverse Fourier rasform for Re { (

More information

PRICING AMERICAN PUT OPTION WITH DIVIDENDS ON VARIATIONAL INEQUALITY

PRICING AMERICAN PUT OPTION WITH DIVIDENDS ON VARIATIONAL INEQUALITY Joual of Mahemaical cieces: Aaces a Applicaios olume 37 06 Pages 9-36 Aailable a hp://scieificaacescoi DOI: hp://oiog/0864/msaa_700609 PRICIG AMERICA PUT OPTIO ITH DIIDED O ARIATIOAL IEQUALITY XIAOFAG

More information

Neutron Slowing Down Distances and Times in Hydrogenous Materials. Erin Boyd May 10, 2005

Neutron Slowing Down Distances and Times in Hydrogenous Materials. Erin Boyd May 10, 2005 Neu Slwig Dw Disaces ad Times i Hydgeus Maeials i Byd May 0 005 Oulie Backgud / Lecue Maeial Neu Slwig Dw quai Flux behavi i hydgeus medium Femi eame f calculaig slwig dw disaces ad imes. Bief deivai f

More information

Electromagnetic Wave Absorber with Isotropic and Anisotropic Metamaterials

Electromagnetic Wave Absorber with Isotropic and Anisotropic Metamaterials Ieaioal Joual of Maeials Sciece ad Applicaios 07; 6(6): 30-308 hp://www.sciecepublishiggoup.co/j/ijsa doi: 0.648/j.ijsa.070606.6 ISSN: 37-635 (Pi); ISSN: 37-643 (Olie) Elecoageic Wave Absobe wih Isoopic

More information

Representing Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example

Representing Knowledge. CS 188: Artificial Intelligence Fall Properties of BNs. Independence? Reachability (the Bayes Ball) Example C 188: Aificial Inelligence Fall 2007 epesening Knowledge ecue 17: ayes Nes III 10/25/2007 an Klein UC ekeley Popeies of Ns Independence? ayes nes: pecify complex join disibuions using simple local condiional

More information

Model characterization of impulse response for diffuse optical indoor wireless channels

Model characterization of impulse response for diffuse optical indoor wireless channels 2005 WEA I. Cof. o DYNAMICAL YTEM ad CONTOL Veice Ialy Novembe 2-4 2005 pp545-550 Model caaceizaio of impulse espose fo diffuse opical idoo wieless caels Adia Miaescu Maius Oeseau Uivesiaea Polieica Timişoaa

More information

L-functions and Class Numbers

L-functions and Class Numbers L-fucios ad Class Numbers Sude Number Theory Semiar S. M.-C. 4 Sepember 05 We follow Romyar Sharifi s Noes o Iwasawa Theory, wih some help from Neukirch s Algebraic Number Theory. L-fucios of Dirichle

More information

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π

Solutions Manual 4.1. nonlinear. 4.2 The Fourier Series is: and the fundamental frequency is ω 2π Soluios Maual. (a) (b) (c) (d) (e) (f) (g) liear oliear liear liear oliear oliear liear. The Fourier Series is: F () 5si( ) ad he fudameal frequecy is ω f ----- H z.3 Sice V rms V ad f 6Hz, he Fourier

More information

Sharif University of Technology - CEDRA By: Professor Ali Meghdari

Sharif University of Technology - CEDRA By: Professor Ali Meghdari Shaif Univesiy of echnology - CEDRA By: Pofesso Ali Meghai Pupose: o exen he Enegy appoach in eiving euaions of oion i.e. Lagange s Meho fo Mechanical Syses. opics: Genealize Cooinaes Lagangian Euaion

More information

INTEGER INTERVAL VALUE OF NEWTON DIVIDED DIFFERENCE AND FORWARD AND BACKWARD INTERPOLATION FORMULA

INTEGER INTERVAL VALUE OF NEWTON DIVIDED DIFFERENCE AND FORWARD AND BACKWARD INTERPOLATION FORMULA Volume 8 No. 8, 45-54 ISSN: 34-3395 (o-lie versio) url: hp://www.ijpam.eu ijpam.eu INTEGER INTERVAL VALUE OF NEWTON DIVIDED DIFFERENCE AND FORWARD AND BACKWARD INTERPOLATION FORMULA A.Arul dass M.Dhaapal

More information

Manipulations involving the signal amplitude (dependent variable).

Manipulations involving the signal amplitude (dependent variable). Oulie Maipulaio of discree ime sigals: Maipulaios ivolvig he idepede variable : Shifed i ime Operaios. Foldig, reflecio or ime reversal. Time Scalig. Maipulaios ivolvig he sigal ampliude (depede variable).

More information

Physics 2001/2051 Moments of Inertia Experiment 1

Physics 2001/2051 Moments of Inertia Experiment 1 Physics 001/051 Momens o Ineia Expeimen 1 Pelab 1 Read he ollowing backgound/seup and ensue you ae amilia wih he heoy equied o he expeimen. Please also ill in he missing equaions 5, 7 and 9. Backgound/Seup

More information

Available online at ScienceDirect. Procedia Computer Science 103 (2017 ) 67 74

Available online at   ScienceDirect. Procedia Computer Science 103 (2017 ) 67 74 Available olie a www.sciecedirec.com ScieceDirec Procedia Compuer Sciece 03 (07 67 74 XIIh Ieraioal Symposium «Iellige Sysems» INELS 6 5-7 Ocober 06 Moscow Russia Real-ime aerodyamic parameer ideificaio

More information

Inference of the Second Order Autoregressive. Model with Unit Roots

Inference of the Second Order Autoregressive. Model with Unit Roots Ieraioal Mahemaical Forum Vol. 6 0 o. 5 595-604 Iferece of he Secod Order Auoregressive Model wih Ui Roos Ahmed H. Youssef Professor of Applied Saisics ad Ecoomerics Isiue of Saisical Sudies ad Research

More information

GENERALIZED FRACTIONAL INTEGRAL OPERATORS AND THEIR MODIFIED VERSIONS

GENERALIZED FRACTIONAL INTEGRAL OPERATORS AND THEIR MODIFIED VERSIONS GENERALIZED FRACTIONAL INTEGRAL OPERATORS AND THEIR MODIFIED VERSIONS HENDRA GUNAWAN Absac. Associaed o a fucio ρ :(, ) (, ), le T ρ be he opeao defied o a suiable fucio space by T ρ f(x) := f(y) dy, R

More information

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues

The Non-Truncated Bulk Arrival Queue M x /M/1 with Reneging, Balking, State-Dependent and an Additional Server for Longer Queues Alied Maheaical Sciece Vol. 8 o. 5 747-75 The No-Tucaed Bul Aival Queue M x /M/ wih Reei Bali Sae-Deede ad a Addiioal Seve fo Loe Queue A. A. EL Shebiy aculy of Sciece Meofia Uiveiy Ey elhebiy@yahoo.co

More information

Numerical Solution of Sine-Gordon Equation by Reduced Differential Transform Method

Numerical Solution of Sine-Gordon Equation by Reduced Differential Transform Method Poceedigs of he Wold Cogess o Egieeig Vol I WCE, July 6-8,, Lodo, U.K. Nueical Soluio of Sie-Godo Equaio by Reduced Diffeeial Tasfo Mehod Yıldıay Kesi, İbahi Çağla ad Ayşe Beül Koç Absac Reduced diffeeial

More information

EXAMPLE SHEET B (Partial Differential Equations) SPRING 2014

EXAMPLE SHEET B (Partial Differential Equations) SPRING 2014 Copuaioal Mechaics Eaples B - David Apsle EXAMPLE SHEET B Parial Differeial Equaios SPRING 0 B. Solve he parial differeial equaio 0 0 o, u u u u B. Classif he followig d -order PDEs as hperbolic, parabolic

More information

Outline. Review Homework Problem. Review Homework Problem II. Review Dimensionless Problem. Review Convection Problem

Outline. Review Homework Problem. Review Homework Problem II. Review Dimensionless Problem. Review Convection Problem adial diffsio eqaio Febay 4 9 Diffsio Eqaios i ylidical oodiaes ay aeo Mechaical Egieeig 5B Seia i Egieeig Aalysis Febay 4, 9 Olie eview las class Gadie ad covecio boday codiio Diffsio eqaio i adial coodiaes

More information

PHYS PRACTICE EXAM 2

PHYS PRACTICE EXAM 2 PHYS 1800 PRACTICE EXAM Pa I Muliple Choice Quesions [ ps each] Diecions: Cicle he one alenaive ha bes complees he saemen o answes he quesion. Unless ohewise saed, assume ideal condiions (no ai esisance,

More information

A note on deviation inequalities on {0, 1} n. by Julio Bernués*

A note on deviation inequalities on {0, 1} n. by Julio Bernués* A oe o deviaio iequaliies o {0, 1}. by Julio Berués* Deparameo de Maemáicas. Faculad de Ciecias Uiversidad de Zaragoza 50009-Zaragoza (Spai) I. Iroducio. Le f: (Ω, Σ, ) IR be a radom variable. Roughly

More information