Theory and implementation behind: Universal surface creation - smallest unitcell

Size: px
Start display at page:

Download "Theory and implementation behind: Universal surface creation - smallest unitcell"

Transcription

1 Teory and impementation beind: Universa surface creation - smaest unitce Bjare Brin Buus, Jaob Howat & Tomas Bigaard September 15, Construction of surface sabs Te aim for tis part of te project is to create a possibe surfaces wit a given Mier Indice and te conventiona bu structure. In tis section, te teory beind te construction of surface sabs wi be outined and from tis fundament an impementation as been deveoped in Pyton. Tis impementation, wi be abe to create any surface for any type of structure incuding foowing common bu structures - te simpe cubic unit ce, te body centered cubic unit ce, te face centered cubic unit ce and te exagona cose paced unit ce. 1.1 Teory By introducing bot te rea and te reciproca attice spaces most pieces of te puzze of creating any surface is derived. In addition some integer matmatics wi be used Rea attice space First, we wi start by defining te system in rea space. We ave tree basis vectors tat span te crysta attice in te conventiona unit ce ( a 1, a 2, a 3 ). Tese tree vectors do not ave to be ortogona and te procedure wi terefore aso wor for cp structures. Additionay, te engts of te vectors wi not in a cases be te same, so te teoretica approac to tis probem, wi invove tree independent engts. For most bu structures tere wi ony be one or two different attice constants determining te unit ce due to symmetry, for instance te L1 and L12 aoys as mentioned in section XXX metod XXX. Te unit ce can be seen in drawing 1 wit te engts and directions. 1

2 a 3 a 3 a 1 a 2 a a 1 2 Drawing 1: Tis drawing sows te basis vectors and sizes for te system. A surface is defined by its Mier Indice (,,), were, and a are integers, wic in rea space can be described by te crysta panes tat are parae to te pane tat intersects te basis vectors ( a 1, a 2, a 3 ) at 1 a 1, 1 a 2, 1 a 3. Te Mier Indices are used for a four types of structures sc, bcc, fcc and cp. In case of one or more of te Mier Indice (,,) is zero, te pane does not intersect wit te corresponding axis. For instance, if is equa to zero, te norma vector to te pane, defined by (,,), wi be ortogona to a 2. A (,,) Mier Indice is unpysica and ence wi not be incuded in te teory section, owever a part of te impementation code wi notify te user tat te cosen surface is not possibe to create Reciproca attice space For te fu understanding of te attice construction, it is very usefu to introduce te reciproca vector space. Te basis vectors in te reciproca attice space are given by, b1 = a 2 a 3 a 1 ( a 2 a 3 ), b 2 = a 3 a 1 a 2 ( a 3 a 1 ), b 3 = a 1 a 2 a 3 ( a 1 a 2 ) (1) a i b j = δ ij (2) Wen introducing te reciproca attice vectors, te norma vector for a given surface pane wit te Mier Indices () is given by n = b 1 + b 2 + b 3 (3) 2

3 t 2 t 3 t 1 Drawing 2: Tis drawing sows a surface wit Mier Indices (2,1,1). Te repetition of a attice point is sown, and te vectors spanning tis surface can be found. Furtermore, a desired surface wit a norma vector n, drawing 2 sows tat for a set of non-zero Mier indices, tree vectors, wi be noted t 1,2,3, in te pane can easiy be found. Two vectors, ineary independent ofcourse, created by a inear combination of te vectors t 1,2,3, can span te desired surface. Tese vectors are given by a 3 a 2 a 1 a t 1 = 1 a a 2, t 2 = 1 a 2 1 a 3, t 3 = 1 a 1 1 a 3 but it soud be noted tat te anti-parae versions of t 1,2,3 aso can be used. Since, and a are integers, we can mutipy wit te product and divide wit te indice, wic wi be common for eac of te attice vectors, a i, wit respect to bot of te attice vectors a i, so a new set of vectors end up being, t 1 = a 1 a 2, t 2 = a 1 a 3, t 3 = a 2 a 3 (4) For te specia cases of two of te Mier Indices being zero, it is a very straigtforward, to see tat te appropriate vectors to span te norma vector, wi be te corresponding basis vectors in rea space. If for instance, and bot are zero, it wi resut in a coice of v 1 = a 1 and v 2 = a Determination of te two surface vectors Having introduced te rea space and te reciproca space, most of te teory is avaiabe and ence te determination of te two vectors tat span te surface wit respect to a given Mier Indice is possibe. 3

4 Te simpe attice points r i,j,m are paced at r i,j,m = i a 1 + j a 2 + a 3 were i, j, m a are integers. Because of te arrangement of te attice points, not a surface panes wi go troug tese points. Te dot product between te norma vector n and te attice points r i,j,m gives, i + j + m = d and since a constants are integers, d must aso be an integer and terefore te vaues of d as been quantized. Tis equation is a Linear Diopantine Equation and te smaest d for wic tere exist an non-zero soution (i, j, m) wen (,, ) are non-zero is, accordingy to Bezouts Identity, wen d is te smaest common divisor of,, and. If one or two of te Mier Indices is zero, te identity is true, but ony wen coosing te argest common divisor for te non-zero parts of (,, ). If a Mier indice as a common divisor e > 1, te non-zero components of te Mier Indice can ten be reduced wit 1 e (,, ), and sti define te same surface. A soution wi terefore exist for i + j + m = d (5) and because of te reduction of te norma vector, te vaue for d wi be ±1. Te two surface vectors, must obey te fact tat tey are ortogona wit respect to te norma vector n, v 1,2 n =. (6) Because of tis, te cross product between te two surface vectors v 1 and v 2 must give a constant times te norma vector n. Te constant must be as sma as possibe, sti non zero, because te area spanned by v 1 and v 2 is equa to te engt of te cross product. And since te new norma vector is te smaest possibe, te constant must be ±1. Consider a coice of te two surface vectors, t 1 and t 3. Tey wi bot fufi equation??, owever te crossproduct between t 1 and t 3 wi be, t 1 t 3 = = 2 =. Uness te size of is ±1, te size of te surface area spanned by t 1 and t 3 wi be too big. It is terefore crucia to introduce a competey new inear combination of te tree vectors t 1, t 2 and t 3. A inear combination of t 1 4

5 and t 2 fufi te same requirements wen p and q are integers in p + q (p + q) = Tis eaves a more simpe equation to sove, (7) (p + q) = 1 (8) Te soution to tis equation can be found using te Extended Eucidean Agoritm to determine te unnowns integers, p and q. Te two new vectors, wic span te surface are described a 1 a 1 v 1 = p a 2 + q, v 2 = a 2 (9) a 3 a 3 However, tere are infinite possibe soutions for p and q but some of te soutions are better tan oters, in reation to visuaizing te surface. Terefore anoter criteria is impemented. Te coser to being ortogona te surface vectors are, te easier it becomes to appy adsorbates onto te te surface. Te procedure for tis wi be expained in section??, but te teory wi be expained ere. Te soution for p and q can be cosen to accommodate tis wit respect to an integer, c, by v 1 = (p + c) a 1 a 2 + (q c) a 1 a 3 (1) Tis cange of vector v 1, does not cange te crossproduct between v 1 and v 2, as sown in equation??, because te cross product between te canges and v 2 is zero. Tis is sown beow c a 1 a 2 c a 1 a 3 c c a 2 a 3 = = (11) Tis cange of v 1 resuts in an agoritm, wic wi be presented ater, to determine te most appropriate coice of vectors. 5

6 1.1.4 Finding te 3 rd vector for te new unit ce After determining te two vectors spanning te surface ( v 1, v 2 ), te tird basis vector( v 3 ) of te surface sab can be found. Tis vector does not need to be ortogona to te two surface vectors. Te vector wi go from one attice point to its repeated attice point anoter pace in te structure. Tis means tat te same contraints appy to tis vector as for v 1 and v 2, but some additiona constraints wi be added. Te vector wi ave to be an integer inear combination of te tree origina attice vectors ( a 1, a 2, a 3 ) and ave te coordinates (i 3 a 1, j 3 a 2, m 3 a 3 ). In addition v 3 cannot be ortogona to te surface norma, so v 3 n. To find te integers i 3, j 3 and m 3 by cacuating te dot product using normavector of te surface from equation??, and te definitions of te reciproca vectors ( b 1, b 2, b 3 ): n v 3 = ( b 1 + b 2 + b 3 ) (i 3 a 1 + j 3 a 2 + m 3 a 3 ) = i 3 + j 3 + m 3 = d, (12) were d must be a non-zero integer because a of,,, i 3, j 3 and m 3 are integers. It wi now be sown tat d = 1. Defining te voume of te conventiona unit ce to be V spanned by te conventiona basis a 1, a 2 and a 3. V = ( a 1 a 2 ) a 3 (13) and rewriting of te tree reciproca vectors to te foowing form V b 1 = a 2 a 3, V b 2 = a 3 a 1, V b 3 = a 1 a 2. (14) wi ease te cacuations, and wit a te pieces set, a determination of te vaue of d is possibe. Te voume of te ce spanned by ( v 1, v 2, v 3 ) is presented beow, were te constants (i,j,m) 1,2 refer to te constants defined by te formaism used for v 1, equation??, and for v 2, equation??. V = v 3 ( v 1 v 2 ) = v 3 {(i 1 a 1 + j 1 a 2 + m 1 a 3 ) (i 2 a 1 + j 2 a 2 + m 2 a 3 )} = v 3 {i 1 j 2 a 1 a 2 + i 1 m 2 a 1 a 3 + j 1 i 2 a 2 a 1 + j 1 m 2 a 2 a 3 } + v 3 {m 1 i 2 a 3 a 1 + m 1 j 2 a 3 a 2 } } = V v 3 {i 1 j 2 b3 i 1 m 2 b2 j 1 i 2 b3 + j 1 m 2 b1 + m 1 i 2 b2 m 1 j 2 b1 i 1 i 2 = V v 3 j 1 j 2 m 1 m 2 6 b1 b2 b3 (15)

7 Te cross product between (i 1, j 1, m 1 ) and (i 2, j 2, m 2 ) as been found previousy in equation?? using te Extended Eucidian Agoritm as (,, ). Inserting tis into te equation V = V v 3 ( b 1 + b 2 + b 3 ) = V d. (16) d is terefore equa to 1. Te nowedge of d in equation?? eads to a new equation to sove, to determine te tird vector v 3. n v 3 = ( b 1 + b 2 + b 3 ) (i 3 a 1, j 3 a 2, m 3 a 3 ) = i 3 + j 3 + m 3 = 1 (17) Tis equation can be soved using te Extended Eucidean Agoritm for tree variabes and terefore te tird vector v 3 is determined. Wit tese tree vectors, ( v 1, v 2, v 3 ), a basis for te new unit ce is created. Te impementation of tis wi be described in te foowing section, aong wit some ways to get around te numerica issues in Pyton. 1.2 Impementation in Pyton Based on te teory derived above an arbitrary surface can be created using te procedure found on te DTU nifeim custer. To create a surface using te procedure described in tis section a conventiona bu ce of te surface materia is needed aong wit te Mier indices and te dept of te sab. Te impementation in Pyton using ASE to setup te atoms consists of tree parts. First, a new basis is derived from te Mier indices wit two of te basis vectors ying in te surface pane. Secondy, te atoms in te conventiona bu ce are expressed in te terms of te new basis in a sab wit te seected dept. Finay, te unit ce of te sab is modified so te tird ce vector points perpendicuar to te surface and a atoms are moved into te unit ce Surface basis For any surface type described by a Mier indice (,, ) te surface basis ( v 1, v 2, v 3 ) is found reative to te conventiona bu unit ce. v 1 and v 2 are cosen to be in te surface pane. In te specia case were ony one of te Mier indices is non-zero v 1 and v 2 are simpy te unit vectors in te directions were te Mier indices are zero, respectivey and v 3 is te direction were te Mier indice is non-zero. 7

8 For a oter situations v 1 and v 2 are found by soving te inear equation?? using te Extended Eucidean Agoritm - in te script defined as ext_gcd(). Tis yieds an infinite set of soutions a of wic can be used. However, te optima structure is found wen te ange between te two base vectors are as cose to 9 o as possibe, as te structure wi be as compact as possibe and specific sites are easier to identify. Tis soution is found by minimizing te scaar product of te two base vectors by c Z. (p + c) a 1 a 2 + (q c) a 1 a 3 a 2 a 3 min(c) Tis can be expressed as 1 + c 2 min(c) and te soution is found wen c is equa to te fraction 1 2 rounded to te nearest integer. Because of numerica errors a toerance is used. In pyton tis is expressed as foows. p,q = ext_gcd(,) 1 = dot( p*(*a1-*a2)+q*(*a1-*a3), *a2-*a3) 2 = dot( *(*a1-*a2)-*(*a1-*a3), *a2-*a3) if abs(2)>to: c = -int(round(1/2)) p,q = p+c*, q-c* v1 = p*array((,-,))+q*array((,,-)) v2 = reduce(array((,,-))) a,b = ext_gcd(p*+q*,) v3 = array((b,a*p,a*q)) Te ast four ines define te base vectors for te surface using te Extended Eucidean Agoritm for two variabes to find v 1 and v 2 and tree variabes to find v Atom positions Wen te basis ave been found te atoms in te conventiona ce are base-canged to te new basis using for i in range(en(bu)): newpos = inag.sove(basis.t,bu.get_scaed_positions()[i]) scaed += [newpos-foor(newpos+to)] and ten moved so te scaed positions in te new basis are witin te box spanned by te basis. Te toerance is needed so atoms positioned exacty 8

9 on te boundary are treated consistenty despite numerica errors. Te ce in te new basis is ten repeated in te v 3 direction to create te required sap dept. For many appications it is usefu to ave te z-direction pointing perpendicuar to te surface to enabe eectrostatic decouping and to mae vacuum eigt and adsorbate distance we defined. Te next step in te procedure is terefore to aign te z-direction wit te cross product of v 1 and v 2 wit a engt so te ce voume is preserved. Te fina step before te sab is created is ten to move te atoms so te scaed coordinates are between and 1 in te v 1 and v 2 directions maing it obvious ow te atoms are ocated reative to eac oter wen te structure is visuaized. 9

Instructional Objectives:

Instructional Objectives: Instructiona Objectives: At te end of tis esson, te students soud be abe to understand: Ways in wic eccentric oads appear in a weded joint. Genera procedure of designing a weded joint for eccentric oading.

More information

Supplemental Notes to. Physical Geodesy GS6776. Christopher Jekeli. Geodetic Science School of Earth Sciences Ohio State University

Supplemental Notes to. Physical Geodesy GS6776. Christopher Jekeli. Geodetic Science School of Earth Sciences Ohio State University Suppementa Notes to ysica Geodesy GS6776 Cristoper Jekei Geodetic Science Scoo of Eart Sciences Oio State University 016 I. Terrain eduction (or Correction): Te terrain correction is a correction appied

More information

Chemistry 3502 Physical Chemistry II (Quantum Mechanics) 3 Credits Fall Semester 2003 Christopher J. Cramer. Lecture 12, October 1, 2003

Chemistry 3502 Physical Chemistry II (Quantum Mechanics) 3 Credits Fall Semester 2003 Christopher J. Cramer. Lecture 12, October 1, 2003 Cemistry 350 Pysica Cemistry II (Quantum Mecanics) 3 Credits Fa Semester 003 Cristoper J. Cramer Lecture 1, October 1, 003 Soved Homework We are asked to demonstrate te ortogonaity of te functions Φ(φ)

More information

Gauss Law. 2. Gauss s Law: connects charge and field 3. Applications of Gauss s Law

Gauss Law. 2. Gauss s Law: connects charge and field 3. Applications of Gauss s Law Gauss Law 1. Review on 1) Couomb s Law (charge and force) 2) Eectric Fied (fied and force) 2. Gauss s Law: connects charge and fied 3. Appications of Gauss s Law Couomb s Law and Eectric Fied Couomb s

More information

Sample Problems for Third Midterm March 18, 2013

Sample Problems for Third Midterm March 18, 2013 Mat 30. Treibergs Sampe Probems for Tird Midterm Name: Marc 8, 03 Questions 4 appeared in my Fa 000 and Fa 00 Mat 30 exams (.)Let f : R n R n be differentiabe at a R n. (a.) Let g : R n R be defined by

More information

Section 15.6 Directional Derivatives and the Gradient Vector

Section 15.6 Directional Derivatives and the Gradient Vector Section 15.6 Directional Derivatives and te Gradient Vector Finding rates of cange in different directions Recall tat wen we first started considering derivatives of functions of more tan one variable,

More information

The Bending of Rectangular Deep Beams with Fixed at Both Ends under Uniform Load

The Bending of Rectangular Deep Beams with Fixed at Both Ends under Uniform Load Engineering,,, 8-9 doi:.6/eng..7 Pubised Onine December (ttp://.scirp.org/journa/eng) Te Bending of Rectanguar Deep Beams it Fied at Bot Ends under Uniform Load Abstract Ying-Jie Cen, Bao-Lian Fu, Gang

More information

PHYS 110B - HW #1 Fall 2005, Solutions by David Pace Equations referenced as Eq. # are from Griffiths Problem statements are paraphrased

PHYS 110B - HW #1 Fall 2005, Solutions by David Pace Equations referenced as Eq. # are from Griffiths Problem statements are paraphrased PHYS 110B - HW #1 Fa 2005, Soutions by David Pace Equations referenced as Eq. # are from Griffiths Probem statements are paraphrased [1.] Probem 6.8 from Griffiths A ong cyinder has radius R and a magnetization

More information

Online Appendix. to Add-on Policies under Vertical Differentiation: Why Do Luxury Hotels Charge for Internet While Economy Hotels Do Not?

Online Appendix. to Add-on Policies under Vertical Differentiation: Why Do Luxury Hotels Charge for Internet While Economy Hotels Do Not? Onine Appendix to Add-on Poicies under Vertica Differentiation: Wy Do Luxury Hotes Carge for Internet Wie Economy Hotes Do Not? Song Lin Department of Marketing, Hong Kong University of Science and Tecnoogy

More information

Jackson 4.10 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell

Jackson 4.10 Homework Problem Solution Dr. Christopher S. Baird University of Massachusetts Lowell Jackson 4.10 Homework Probem Soution Dr. Christopher S. Baird University of Massachusetts Lowe PROBLEM: Two concentric conducting spheres of inner and outer radii a and b, respectivey, carry charges ±.

More information

Numerical Differentiation

Numerical Differentiation Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function

More information

1. Which one of the following expressions is not equal to all the others? 1 C. 1 D. 25x. 2. Simplify this expression as much as possible.

1. Which one of the following expressions is not equal to all the others? 1 C. 1 D. 25x. 2. Simplify this expression as much as possible. 004 Algebra Pretest answers and scoring Part A. Multiple coice questions. Directions: Circle te letter ( A, B, C, D, or E ) net to te correct answer. points eac, no partial credit. Wic one of te following

More information

Combining functions: algebraic methods

Combining functions: algebraic methods Combining functions: algebraic metods Functions can be added, subtracted, multiplied, divided, and raised to a power, just like numbers or algebra expressions. If f(x) = x 2 and g(x) = x + 2, clearly f(x)

More information

Separation of Variables and a Spherical Shell with Surface Charge

Separation of Variables and a Spherical Shell with Surface Charge Separation of Variabes and a Spherica She with Surface Charge In cass we worked out the eectrostatic potentia due to a spherica she of radius R with a surface charge density σθ = σ cos θ. This cacuation

More information

$, (2.1) n="# #. (2.2)

$, (2.1) n=# #. (2.2) Chapter. Eectrostatic II Notes: Most of the materia presented in this chapter is taken from Jackson, Chap.,, and 4, and Di Bartoo, Chap... Mathematica Considerations.. The Fourier series and the Fourier

More information

Introduction to Derivatives

Introduction to Derivatives Introduction to Derivatives 5-Minute Review: Instantaneous Rates and Tangent Slope Recall te analogy tat we developed earlier First we saw tat te secant slope of te line troug te two points (a, f (a))

More information

APPENDIX C FLEXING OF LENGTH BARS

APPENDIX C FLEXING OF LENGTH BARS Fexing of ength bars 83 APPENDIX C FLEXING OF LENGTH BARS C.1 FLEXING OF A LENGTH BAR DUE TO ITS OWN WEIGHT Any object ying in a horizonta pane wi sag under its own weight uness it is infinitey stiff or

More information

HOMEWORK HELP 2 FOR MATH 151

HOMEWORK HELP 2 FOR MATH 151 HOMEWORK HELP 2 FOR MATH 151 Here we go; te second round of omework elp. If tere are oters you would like to see, let me know! 2.4, 43 and 44 At wat points are te functions f(x) and g(x) = xf(x)continuous,

More information

1D Heat Propagation Problems

1D Heat Propagation Problems Chapter 1 1D Heat Propagation Probems If the ambient space of the heat conduction has ony one dimension, the Fourier equation reduces to the foowing for an homogeneous body cρ T t = T λ 2 + Q, 1.1) x2

More information

MATH1151 Calculus Test S1 v2a

MATH1151 Calculus Test S1 v2a MATH5 Calculus Test 8 S va January 8, 5 Tese solutions were written and typed up by Brendan Trin Please be etical wit tis resource It is for te use of MatSOC members, so do not repost it on oter forums

More information

2.8 The Derivative as a Function

2.8 The Derivative as a Function .8 Te Derivative as a Function Typically, we can find te derivative of a function f at many points of its domain: Definition. Suppose tat f is a function wic is differentiable at every point of an open

More information

Appendix A: MATLAB commands for neural networks

Appendix A: MATLAB commands for neural networks Appendix A: MATLAB commands for neura networks 132 Appendix A: MATLAB commands for neura networks p=importdata('pn.xs'); t=importdata('tn.xs'); [pn,meanp,stdp,tn,meant,stdt]=prestd(p,t); for m=1:10 net=newff(minmax(pn),[m,1],{'tansig','purein'},'trainm');

More information

Lecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator.

Lecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator. Lecture XVII Abstract We introduce te concept of directional derivative of a scalar function and discuss its relation wit te gradient operator. Directional derivative and gradient Te directional derivative

More information

THE THREE POINT STEINER PROBLEM ON THE FLAT TORUS: THE MINIMAL LUNE CASE

THE THREE POINT STEINER PROBLEM ON THE FLAT TORUS: THE MINIMAL LUNE CASE THE THREE POINT STEINER PROBLEM ON THE FLAT TORUS: THE MINIMAL LUNE CASE KATIE L. MAY AND MELISSA A. MITCHELL Abstract. We show how to identify the minima path network connecting three fixed points on

More information

Keywords: Surrogate modelling, data fusion, incomplete factorial DoE, tensor approximation

Keywords: Surrogate modelling, data fusion, incomplete factorial DoE, tensor approximation Buiding Data Fusion Surrogate Modes for Spacecraft Aerodynamic Probems wit Incompete Factoria Design of Experiments Miai Beyaev 1,, 3, a, Evgeny Burnaev 1,, 3, b, Erme apusev 1,, c, Stepane Aestra 4, d,

More information

Tangent Lines-1. Tangent Lines

Tangent Lines-1. Tangent Lines Tangent Lines- Tangent Lines In geometry, te tangent line to a circle wit centre O at a point A on te circle is defined to be te perpendicular line at A to te line OA. Te tangent lines ave te special property

More information

Section 6: Magnetostatics

Section 6: Magnetostatics agnetic fieds in matter Section 6: agnetostatics In the previous sections we assumed that the current density J is a known function of coordinates. In the presence of matter this is not aways true. The

More information

5.1 We will begin this section with the definition of a rational expression. We

5.1 We will begin this section with the definition of a rational expression. We Basic Properties and Reducing to Lowest Terms 5.1 We will begin tis section wit te definition of a rational epression. We will ten state te two basic properties associated wit rational epressions and go

More information

CS229 Lecture notes. Andrew Ng

CS229 Lecture notes. Andrew Ng CS229 Lecture notes Andrew Ng Part IX The EM agorithm In the previous set of notes, we taked about the EM agorithm as appied to fitting a mixture of Gaussians. In this set of notes, we give a broader view

More information

4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these.

4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these. Mat 11. Test Form N Fall 016 Name. Instructions. Te first eleven problems are wort points eac. Te last six problems are wort 5 points eac. For te last six problems, you must use relevant metods of algebra

More information

Physics 235 Chapter 8. Chapter 8 Central-Force Motion

Physics 235 Chapter 8. Chapter 8 Central-Force Motion Physics 35 Chapter 8 Chapter 8 Centra-Force Motion In this Chapter we wi use the theory we have discussed in Chapter 6 and 7 and appy it to very important probems in physics, in which we study the motion

More information

Polynomial Interpolation

Polynomial Interpolation Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximatinga function fx, wose values at a set of distinct points x, x, x,, x n are known, by a polynomial P x suc

More information

Symmetry Labeling of Molecular Energies

Symmetry Labeling of Molecular Energies Capter 7. Symmetry Labeling of Molecular Energies Notes: Most of te material presented in tis capter is taken from Bunker and Jensen 1998, Cap. 6, and Bunker and Jensen 2005, Cap. 7. 7.1 Hamiltonian Symmetry

More information

IIT JEE, 2005 (MAINS) SOLUTIONS PHYSICS 1

IIT JEE, 2005 (MAINS) SOLUTIONS PHYSICS 1 IIT JEE, 5 (MINS) SOLUTIONS YSIS iscaimer: Tis booket contains te questions of IIT-JEE 5, Main Examination based on te memory reca of students aong wit soutions provided by te facuty of riiant Tutorias.

More information

MINISTRY OF EDUCATION AND SCIENCE OF UKRAINE. National aerospace university Kharkiv Aviation Institute. Department of aircraft strength

MINISTRY OF EDUCATION AND SCIENCE OF UKRAINE. National aerospace university Kharkiv Aviation Institute. Department of aircraft strength MINISTRY OF EDUCTION ND SCIENCE OF UKRINE Nationa aerospace uniersity Karki iation Institute Department of aircraft strengt Course Mecanics of materias and structures HOME PROBLEM 6 Graps of Sear and Norma

More information

1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point

1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point MA00 Capter 6 Calculus and Basic Linear Algebra I Limits, Continuity and Differentiability Te concept of its (p.7 p.9, p.4 p.49, p.55 p.56). Limits Consider te function determined by te formula f Note

More information

First-Order Corrections to Gutzwiller s Trace Formula for Systems with Discrete Symmetries

First-Order Corrections to Gutzwiller s Trace Formula for Systems with Discrete Symmetries c 26 Noninear Phenomena in Compex Systems First-Order Corrections to Gutzwier s Trace Formua for Systems with Discrete Symmetries Hoger Cartarius, Jörg Main, and Günter Wunner Institut für Theoretische

More information

11.6 DIRECTIONAL DERIVATIVES AND THE GRADIENT VECTOR

11.6 DIRECTIONAL DERIVATIVES AND THE GRADIENT VECTOR SECTION 11.6 DIRECTIONAL DERIVATIVES AND THE GRADIENT VECTOR 633 wit speed v o along te same line from te opposite direction toward te source, ten te frequenc of te sound eard b te observer is were c is

More information

Function Composition and Chain Rules

Function Composition and Chain Rules Function Composition and s James K. Peterson Department of Biological Sciences and Department of Matematical Sciences Clemson University Marc 8, 2017 Outline 1 Function Composition and Continuity 2 Function

More information

MECHANICAL ENGINEERING

MECHANICAL ENGINEERING 1 SSC-JE SFF SELECION COMMISSION MECHNICL ENGINEERING SUDY MERIL Cassroom Posta Correspondence est-series16 Rights Reserved www.sscje.com C O N E N 1. SIMPLE SRESSES ND SRINS 3-3. PRINCIPL SRESS ND SRIN

More information

AM:BM. Graz University of Technology Institute of Applied Mechanics

AM:BM. Graz University of Technology Institute of Applied Mechanics M:BM Graz University of Tecnoogy Institute of ppied Mecanics Preprint No 0/01 Finite Eement Pate Formuation for te coustica Investigation of Tin ir Layers Ping Rong, Otto von Estorff Institute of Modeing

More information

MAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points

MAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points MAT 15 Test #2 Name Solution Guide Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points Use te grap of a function sown ere as you respond to questions 1 to 8. 1. lim f (x) 0 2. lim

More information

Continuity and Differentiability Worksheet

Continuity and Differentiability Worksheet Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;

More information

232 Calculus and Structures

232 Calculus and Structures 3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE

More information

The Group Structure on a Smooth Tropical Cubic

The Group Structure on a Smooth Tropical Cubic The Group Structure on a Smooth Tropica Cubic Ethan Lake Apri 20, 2015 Abstract Just as in in cassica agebraic geometry, it is possibe to define a group aw on a smooth tropica cubic curve. In this note,

More information

Chapter 2 Limits and Continuity

Chapter 2 Limits and Continuity 4 Section. Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 6) Quick Review.. f () ( ) () 4 0. f () 4( ) 4. f () sin sin 0 4. f (). 4 4 4 6. c c c 7. 8. c d d c d d c d c 9. 8 ( )(

More information

Physics 566: Quantum Optics Quantization of the Electromagnetic Field

Physics 566: Quantum Optics Quantization of the Electromagnetic Field Physics 566: Quantum Optics Quantization of the Eectromagnetic Fied Maxwe's Equations and Gauge invariance In ecture we earned how to quantize a one dimensiona scaar fied corresponding to vibrations on

More information

A = h w (1) Error Analysis Physics 141

A = h w (1) Error Analysis Physics 141 Introduction In all brances of pysical science and engineering one deals constantly wit numbers wic results more or less directly from experimental observations. Experimental observations always ave inaccuracies.

More information

Investigating Euler s Method and Differential Equations to Approximate π. Lindsay Crowl August 2, 2001

Investigating Euler s Method and Differential Equations to Approximate π. Lindsay Crowl August 2, 2001 Investigating Euler s Metod and Differential Equations to Approximate π Lindsa Crowl August 2, 2001 Tis researc paper focuses on finding a more efficient and accurate wa to approximate π. Suppose tat x

More information

WYSE Academic Challenge 2004 Sectional Mathematics Solution Set

WYSE Academic Challenge 2004 Sectional Mathematics Solution Set WYSE Academic Callenge 00 Sectional Matematics Solution Set. Answer: B. Since te equation can be written in te form x + y, we ave a major 5 semi-axis of lengt 5 and minor semi-axis of lengt. Tis means

More information

Exercises for numerical differentiation. Øyvind Ryan

Exercises for numerical differentiation. Øyvind Ryan Exercises for numerical differentiation Øyvind Ryan February 25, 2013 1. Mark eac of te following statements as true or false. a. Wen we use te approximation f (a) (f (a +) f (a))/ on a computer, we can

More information

Lecture 15. Interpolation II. 2 Piecewise polynomial interpolation Hermite splines

Lecture 15. Interpolation II. 2 Piecewise polynomial interpolation Hermite splines Lecture 5 Interpolation II Introduction In te previous lecture we focused primarily on polynomial interpolation of a set of n points. A difficulty we observed is tat wen n is large, our polynomial as to

More information

3.1 Extreme Values of a Function

3.1 Extreme Values of a Function .1 Etreme Values of a Function Section.1 Notes Page 1 One application of te derivative is finding minimum and maimum values off a grap. In precalculus we were only able to do tis wit quadratics by find

More information

Solutions to the Multivariable Calculus and Linear Algebra problems on the Comprehensive Examination of January 31, 2014

Solutions to the Multivariable Calculus and Linear Algebra problems on the Comprehensive Examination of January 31, 2014 Solutions to te Multivariable Calculus and Linear Algebra problems on te Compreensive Examination of January 3, 24 Tere are 9 problems ( points eac, totaling 9 points) on tis portion of te examination.

More information

A Brief Introduction to Markov Chains and Hidden Markov Models

A Brief Introduction to Markov Chains and Hidden Markov Models A Brief Introduction to Markov Chains and Hidden Markov Modes Aen B MacKenzie Notes for December 1, 3, &8, 2015 Discrete-Time Markov Chains You may reca that when we first introduced random processes,

More information

. If lim. x 2 x 1. f(x+h) f(x)

. If lim. x 2 x 1. f(x+h) f(x) Review of Differential Calculus Wen te value of one variable y is uniquely determined by te value of anoter variable x, ten te relationsip between x and y is described by a function f tat assigns a value

More information

Chapter 13 Differentiation and applications

Chapter 13 Differentiation and applications Differentiation and appiations MB Qd- 0 Capter Differentiation and appiations Eerise A Introdution to its... 7 0. 7. 0. 0. 7.7 Te series of numers is approaing 8. A ire n Te answer is B a As n gets arger,

More information

Radiation Fields. Lecture 12

Radiation Fields. Lecture 12 Radiation Fieds Lecture 12 1 Mutipoe expansion Separate Maxwe s equations into two sets of equations, each set separatey invoving either the eectric or the magnetic fied. After remova of the time dependence

More information

How to Find the Derivative of a Function: Calculus 1

How to Find the Derivative of a Function: Calculus 1 Introduction How to Find te Derivative of a Function: Calculus 1 Calculus is not an easy matematics course Te fact tat you ave enrolled in suc a difficult subject indicates tat you are interested in te

More information

Definition of the Derivative

Definition of the Derivative Te Limit Definition of te Derivative Tis Handout will: Define te limit grapically and algebraically Discuss, in detail, specific features of te definition of te derivative Provide a general strategy of

More information

Material for Difference Quotient

Material for Difference Quotient Material for Difference Quotient Prepared by Stepanie Quintal, graduate student and Marvin Stick, professor Dept. of Matematical Sciences, UMass Lowell Summer 05 Preface Te following difference quotient

More information

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx.

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx. Capter 2 Integrals as sums and derivatives as differences We now switc to te simplest metods for integrating or differentiating a function from its function samples. A careful study of Taylor expansions

More information

Some Review Problems for First Midterm Mathematics 1300, Calculus 1

Some Review Problems for First Midterm Mathematics 1300, Calculus 1 Some Review Problems for First Midterm Matematics 00, Calculus. Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd,

More information

2.11 That s So Derivative

2.11 That s So Derivative 2.11 Tat s So Derivative Introduction to Differential Calculus Just as one defines instantaneous velocity in terms of average velocity, we now define te instantaneous rate of cange of a function at a point

More information

Chapter 2. Limits and Continuity 16( ) 16( 9) = = 001. Section 2.1 Rates of Change and Limits (pp ) Quick Review 2.1

Chapter 2. Limits and Continuity 16( ) 16( 9) = = 001. Section 2.1 Rates of Change and Limits (pp ) Quick Review 2.1 Capter Limits and Continuity Section. Rates of Cange and Limits (pp. 969) Quick Review..... f ( ) ( ) ( ) 0 ( ) f ( ) f ( ) sin π sin π 0 f ( ). < < < 6. < c c < < c 7. < < < < < 8. 9. 0. c < d d < c

More information

Higher dimensional PDEs and multidimensional eigenvalue problems

Higher dimensional PDEs and multidimensional eigenvalue problems Higher dimensiona PEs and mutidimensiona eigenvaue probems 1 Probems with three independent variabes Consider the prototypica equations u t = u (iffusion) u tt = u (W ave) u zz = u (Lapace) where u = u

More information

Quantum Mechanics Chapter 1.5: An illustration using measurements of particle spin.

Quantum Mechanics Chapter 1.5: An illustration using measurements of particle spin. I Introduction. Quantum Mecanics Capter.5: An illustration using measurements of particle spin. Quantum mecanics is a teory of pysics tat as been very successful in explaining and predicting many pysical

More information

14 Separation of Variables Method

14 Separation of Variables Method 14 Separation of Variabes Method Consider, for exampe, the Dirichet probem u t = Du xx < x u(x, ) = f(x) < x < u(, t) = = u(, t) t > Let u(x, t) = T (t)φ(x); now substitute into the equation: dt

More information

Polynomial Interpolation

Polynomial Interpolation Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximating a function f(x, wose values at a set of distinct points x, x, x 2,,x n are known, by a polynomial P (x

More information

Non-Linear Approximations in Linear Cryptanalysis

Non-Linear Approximations in Linear Cryptanalysis Non-Linear Approximations in Linear Cryptanaysis Lars R. Knudsen 1 and M.J.B. Robsaw 2 1 K.U. Leuven, ESAT, Kardinaa Mercieraan 94, B-3001 Heveree emai:knudsen@esat.kueuven.ac.be 2 RSA Laboratories, 100

More information

International Journal "Information Technologies & Knowledge" Vol.5, Number 1,

International Journal Information Technologies & Knowledge Vol.5, Number 1, Internationa Journa "Information Tecnoogies & Knowedge" Vo.5, Number, 0 5 EVOLVING CASCADE NEURAL NETWORK BASED ON MULTIDIMESNIONAL EPANECHNIKOV S KERNELS AND ITS LEARNING ALGORITHM Yevgeniy Bodyanskiy,

More information

Click here to see an animation of the derivative

Click here to see an animation of the derivative Differentiation Massoud Malek Derivative Te concept of derivative is at te core of Calculus; It is a very powerful tool for understanding te beavior of matematical functions. It allows us to optimize functions,

More information

4.2 - Richardson Extrapolation

4.2 - Richardson Extrapolation . - Ricardson Extrapolation. Small-O Notation: Recall tat te big-o notation used to define te rate of convergence in Section.: Definition Let x n n converge to a number x. Suppose tat n n is a sequence

More information

1 1. Rationalize the denominator and fully simplify the radical expression 3 3. Solution: = 1 = 3 3 = 2

1 1. Rationalize the denominator and fully simplify the radical expression 3 3. Solution: = 1 = 3 3 = 2 MTH - Spring 04 Exam Review (Solutions) Exam : February 5t 6:00-7:0 Tis exam review contains questions similar to tose you sould expect to see on Exam. Te questions included in tis review, owever, are

More information

1 Limits and Continuity

1 Limits and Continuity 1 Limits and Continuity 1.0 Tangent Lines, Velocities, Growt In tion 0.2, we estimated te slope of a line tangent to te grap of a function at a point. At te end of tion 0.3, we constructed a new function

More information

Exam 1 Review Solutions

Exam 1 Review Solutions Exam Review Solutions Please also review te old quizzes, and be sure tat you understand te omework problems. General notes: () Always give an algebraic reason for your answer (graps are not sufficient),

More information

2 Forward Vehicle Dynamics

2 Forward Vehicle Dynamics 2 Forward Veice Dynamics Straigt motion of an idea rigid veice is te subject of tis capter. We ignore air friction and examine te oad variation under te tires to determine te veice s imits of acceeration,

More information

158 Calculus and Structures

158 Calculus and Structures 58 Calculus and Structures CHAPTER PROPERTIES OF DERIVATIVES AND DIFFERENTIATION BY THE EASY WAY. Calculus and Structures 59 Copyrigt Capter PROPERTIES OF DERIVATIVES. INTRODUCTION In te last capter you

More information

Chapter 1 Functions and Graphs. Section 1.5 = = = 4. Check Point Exercises The slope of the line y = 3x+ 1 is 3.

Chapter 1 Functions and Graphs. Section 1.5 = = = 4. Check Point Exercises The slope of the line y = 3x+ 1 is 3. Capter Functions and Graps Section. Ceck Point Exercises. Te slope of te line y x+ is. y y m( x x y ( x ( y ( x+ point-slope y x+ 6 y x+ slope-intercept. a. Write te equation in slope-intercept form: x+

More information

1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t).

1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t). . Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd, periodic function tat as been sifted upwards, so we will use

More information

Logarithmic functions

Logarithmic functions Roberto s Notes on Differential Calculus Capter 5: Derivatives of transcendental functions Section Derivatives of Logaritmic functions Wat ou need to know alread: Definition of derivative and all basic

More information

FRIEZE GROUPS IN R 2

FRIEZE GROUPS IN R 2 FRIEZE GROUPS IN R 2 MAXWELL STOLARSKI Abstract. Focusing on the Eucidean pane under the Pythagorean Metric, our goa is to cassify the frieze groups, discrete subgroups of the set of isometries of the

More information

The Verlet Algorithm for Molecular Dynamics Simulations

The Verlet Algorithm for Molecular Dynamics Simulations Cemistry 380.37 Fall 2015 Dr. Jean M. Standard November 9, 2015 Te Verlet Algoritm for Molecular Dynamics Simulations Equations of motion For a many-body system consisting of N particles, Newton's classical

More information

4 1-D Boundary Value Problems Heat Equation

4 1-D Boundary Value Problems Heat Equation 4 -D Boundary Vaue Probems Heat Equation The main purpose of this chapter is to study boundary vaue probems for the heat equation on a finite rod a x b. u t (x, t = ku xx (x, t, a < x < b, t > u(x, = ϕ(x

More information

The Derivative as a Function

The Derivative as a Function Section 2.2 Te Derivative as a Function 200 Kiryl Tsiscanka Te Derivative as a Function DEFINITION: Te derivative of a function f at a number a, denoted by f (a), is if tis limit exists. f (a) f(a + )

More information

Math 212-Lecture 9. For a single-variable function z = f(x), the derivative is f (x) = lim h 0

Math 212-Lecture 9. For a single-variable function z = f(x), the derivative is f (x) = lim h 0 3.4: Partial Derivatives Definition Mat 22-Lecture 9 For a single-variable function z = f(x), te derivative is f (x) = lim 0 f(x+) f(x). For a function z = f(x, y) of two variables, to define te derivatives,

More information

Physics 505 Fall Homework Assignment #4 Solutions

Physics 505 Fall Homework Assignment #4 Solutions Physics 505 Fa 2005 Homework Assignment #4 Soutions Textbook probems: Ch. 3: 3.4, 3.6, 3.9, 3.0 3.4 The surface of a hoow conducting sphere of inner radius a is divided into an even number of equa segments

More information

Average Rate of Change

Average Rate of Change Te Derivative Tis can be tougt of as an attempt to draw a parallel (pysically and metaporically) between a line and a curve, applying te concept of slope to someting tat isn't actually straigt. Te slope

More information

Lab 6 Derivatives and Mutant Bacteria

Lab 6 Derivatives and Mutant Bacteria Lab 6 Derivatives and Mutant Bacteria Date: September 27, 20 Assignment Due Date: October 4, 20 Goal: In tis lab you will furter explore te concept of a derivative using R. You will use your knowledge

More information

MTH-112 Quiz 1 Name: # :

MTH-112 Quiz 1 Name: # : MTH- Quiz Name: # : Please write our name in te provided space. Simplif our answers. Sow our work.. Determine weter te given relation is a function. Give te domain and range of te relation.. Does te equation

More information

Volume 13, MAIN ARTICLES

Volume 13, MAIN ARTICLES Voume 13, 2009 1 MAIN ARTICLES THE BASIC BVPs OF THE THEORY OF ELASTIC BINARY MIXTURES FOR A HALF-PLANE WITH CURVILINEAR CUTS Bitsadze L. I. Vekua Institute of Appied Mathematics of Iv. Javakhishvii Tbiisi

More information

REVIEW LAB ANSWER KEY

REVIEW LAB ANSWER KEY REVIEW LAB ANSWER KEY. Witout using SN, find te derivative of eac of te following (you do not need to simplify your answers): a. f x 3x 3 5x x 6 f x 3 3x 5 x 0 b. g x 4 x x x notice te trick ere! x x g

More information

Mathematics 5 Worksheet 11 Geometry, Tangency, and the Derivative

Mathematics 5 Worksheet 11 Geometry, Tangency, and the Derivative Matematics 5 Workseet 11 Geometry, Tangency, and te Derivative Problem 1. Find te equation of a line wit slope m tat intersects te point (3, 9). Solution. Te equation for a line passing troug a point (x

More information

lim 1 lim 4 Precalculus Notes: Unit 10 Concepts of Calculus

lim 1 lim 4 Precalculus Notes: Unit 10 Concepts of Calculus Syllabus Objectives: 1.1 Te student will understand and apply te concept of te limit of a function at given values of te domain. 1. Te student will find te limit of a function at given values of te domain.

More information

BALANCING REGULAR MATRIX PENCILS

BALANCING REGULAR MATRIX PENCILS BALANCING REGULAR MATRIX PENCILS DAMIEN LEMONNIER AND PAUL VAN DOOREN Abstract. In this paper we present a new diagona baancing technique for reguar matrix pencis λb A, which aims at reducing the sensitivity

More information

XSAT of linear CNF formulas

XSAT of linear CNF formulas XSAT of inear CN formuas Bernd R. Schuh Dr. Bernd Schuh, D-50968 Kön, Germany; bernd.schuh@netcoogne.de eywords: compexity, XSAT, exact inear formua, -reguarity, -uniformity, NPcompeteness Abstract. Open

More information

Solution. Solution. f (x) = (cos x)2 cos(2x) 2 sin(2x) 2 cos x ( sin x) (cos x) 4. f (π/4) = ( 2/2) ( 2/2) ( 2/2) ( 2/2) 4.

Solution. Solution. f (x) = (cos x)2 cos(2x) 2 sin(2x) 2 cos x ( sin x) (cos x) 4. f (π/4) = ( 2/2) ( 2/2) ( 2/2) ( 2/2) 4. December 09, 20 Calculus PracticeTest s Name: (4 points) Find te absolute extrema of f(x) = x 3 0 on te interval [0, 4] Te derivative of f(x) is f (x) = 3x 2, wic is zero only at x = 0 Tus we only need

More information

arxiv:nlin/ v2 [nlin.cd] 30 Jan 2006

arxiv:nlin/ v2 [nlin.cd] 30 Jan 2006 expansions in semicassica theories for systems with smooth potentias and discrete symmetries Hoger Cartarius, Jörg Main, and Günter Wunner arxiv:nin/0510051v [nin.cd] 30 Jan 006 1. Institut für Theoretische

More information

MVT and Rolle s Theorem

MVT and Rolle s Theorem AP Calculus CHAPTER 4 WORKSHEET APPLICATIONS OF DIFFERENTIATION MVT and Rolle s Teorem Name Seat # Date UNLESS INDICATED, DO NOT USE YOUR CALCULATOR FOR ANY OF THESE QUESTIONS In problems 1 and, state

More information

CHAPTER (A) When x = 2, y = 6, so f( 2) = 6. (B) When y = 4, x can equal 6, 2, or 4.

CHAPTER (A) When x = 2, y = 6, so f( 2) = 6. (B) When y = 4, x can equal 6, 2, or 4. SECTION 3-1 101 CHAPTER 3 Section 3-1 1. No. A correspondence between two sets is a function only if eactly one element of te second set corresponds to eac element of te first set. 3. Te domain of a function

More information