16. Electromagnetics and vector elements (draft, under construction)

Size: px
Start display at page:

Download "16. Electromagnetics and vector elements (draft, under construction)"

Transcription

1 16. Elctromagntics (draft) Introduction Paramtric coordinats Edg Basd (Vctor) Finit Elmnts Whitny vctor lmnts Wak Form Vctor lmnt matrics Summary Exrciss Elctromagntics and vctor lmnts (draft, undr construction) 16.1 Introduction: Th Maxwll's quations govrning lctromagntics consist of a group of four diffrntial quations coupld by multipl variabls. Thy can b vry difficult to solv. Potntial functions ar usually introducd to rduc th numbr of quations and variabls. Maxwll s quation for lctromagntics in trms of a tim harmonic vctor potntial A is: 1 μ A + jω 2 σa = J s (16.1-1) whr μ is th magntic prmability j = 1, ω is th harmonic frquncy, σ is th lctrical conductivity, and J s is th imposd lctric currnt dnsity. Th magntic flux dnsity vctor B is rlatd to th vctor potntial by and to th magntic fild intnsity vctor H by th constitutiv law B = A (16.1-2) B = μh (16.1-3) which is normally a non-linar rlationship. In this sction, th convntional finit lmnt mthod introducd bfor for scalar quations will b calld nod basd finit lmnts. Basd on succsss with scalar diffrntial quations, on choic for a finit lmnt analysis of th Maxwll s quation may b to attmpt to dcompos th vctor fild into its thr Cartsian componnts, A x, A y, and A z (lik th way displacmnt vctors ar tratd is strss analysis). Th scalar basis functions and thus th unknown vctor componnts in th finit lmnt quations for strss analysis ar assignd to th nods of th finit lmnt msh. That mad th displacmnt vctors continuous across lmnt intrfacs, which is physically corrct. Thus It was prviously dmonstratd that nod basd finit lmnts ar suitabl for analyzing scalar filds and displacmnt vctors. That is tru bcaus th govrning intgral form for th displacmnt basd quilibrium of a solid 1

2 automatically satisfis th lmnt intrfac displacmnt continuity conditions quations that rquir tangntial continuity of th magnitud of th scalar unknowns but allow jumps in th normal dg gradints of th scalar solution. In lctromagntics, th intrfac conditions btwn diffrnt matrials tak a diffrnt form that rstricts ithr th tangntial or normal componnts of th vctor A. By th vry natur of nodal basd lmnt intrpolation all of th scalar componnts of a vctor ar continuous on th intr-lmnt boundaris. In othr words, th magnitud and dirction of a displacmnt vctor would b continuous along th intrfac btwn two matrials. That approach violats th lctromagntic vctor boundary conditions if th lmnt boundary happns to b th intrfac btwn two matrials with diffrnt lctromagntic proprtis. An altrnativ to th convntional nod basd finit lmnts is th dg basd finit lmnt or vctor lmnts which ar introducd blow. Vctor lmnts ar just spcial kinds of finit lmnts whos dgrs of frdoms ar th magnituds of vctors assignd to dgs of lmnts rathr than scalars at th nods. Th intrpolation functions ar associatd with th dgs of th finit lmnt, and mor importantly th intrpolation functions ar vctors functions that ar dfind ovr th lmnt intrior so an arbitrary vctor fild can b intrpolatd with th st of vctor intrpolation functions dirctly. Vctor lmnts nforc tangntial continuity on vctors but not normal continuity across lmnt intrfacs. It should b notd that thr ar svral lctromagntic problms, lik axisymmtric solids, whr two of th thr componnts of th vctor potntial ar idntically zro. Thn, th nodal basd finit lmnt mthod givs xcllnt rsults Paramtric coordinats: Lik nod basd lmnts, th vctor lmnts also mploy non-dimnsional paramtric coordinats to dfin th lmnt gomtry and to build th intrior vctor intrpolations. Most of th vast litratur on lctromagntic vctor lmnts utilizs unit coordinats for quadrilatral and hxahdral vctor lmnts and barycntric coordinats for triangular and ttrahdral vctor lmnts. Th lctromagntic litratur usually dnots th unit coordinats as (u, v, w) instad of th (r, s, t) prviously utilizd in this book. That prfrnc is adoptd for this sction, (u, v, w) (r, s, t). Th barycntric coordinats ar dirctly rlatd to th unit coordinats for triangls and ttrahdrals (simplx lmnts). Barycntric coordinats ar also calld ara-coordinats and volum-coordinats in two- and thr-dimnsional application, rspctivly. For compltnss, and to mak it asir to rad th lctromagntics litratur, th concpts of barycntric coordinats will b rviwd hr. Th barycntric coordinat at vrtx-k, say λ k, is unity at vrtx-k and zro at all othr vrtics of th lmnt. But, for simplx lmnts th numbr of vrtics is on largr that th spatial dimnsion, n s. Thrfor, th barycntric coordinats ar not all indpndnt and ar mad complt by th rquirmnt that thir sum at any point in th simplx is unity, and thy ar zro at any vrtx othr than k: (n 1 s +1) k=1 λ k and λ k (u j, v j ) = δ ij (16.2-1) Figur illustrats th dfinition of barycntric coordinats in a triangl. Th ara coordinat λ k is unity at nod k and zro on th dg opposit nod k. In btwn at any point P it is th fraction of th total ara that is formd by th triangl dfind by th point and dg k. Similar dfinitions xist for ttrahdra and lins, but not for quadrilatrals or hxahdra. 2

3 Figur Ara (barycntric) coordinats in a simplx triangl Figur shows a planar paramtric curv rprsnting an dg of a curvd quadrilatral whr th lmnt location and shap ar dfind by th position vctor, R (u, v, w) = x(u, v, w)i + y(u, v, w)j + z(u, v, w)k (16.2-3) at ach of its ight nods. Figur shows that curvd quadrilatral with a numbr of tangnt vctors on ach of its dgs. Th componnts of th position vctor ar intrpolatd using th usual scalar functions which wr covrd in Chaptr 2: n n x(u, v, w) = j=1 H j (u, v, w)x j = H(u, v, w)x (16.2-4) whr x dnots th input x-coordinats of all th scalar nods on lmnt-. Of cours, th y- and z-coordinats ar intrpolatd with th sam scalar functions, H(u, v, w). For an ight-nod quadrilatral in unit coordinats, 0 u, v 1, with th scalar nods that dfin th lmnt shap ordrd as in Fig th wll-known scalar intrpolations ar H 1 (u, v) = (1 2u 2v)(1 u)(1 v) H 2 (u, v) = (1 2u + 2v)(v 1)u H 3 (u, v) = uv(2u + 2v 3) H 4 (u, v) = v(u 1)(2u 2v + 1) H 5 (u, v) = (v 1)((2u 1) 2 1) H 6 (u, v) = u(1 (2v 1) 2 ) H 7 (u, v) = v(1 (2u 1) 2 ) H 8 (u, v) = (u 1)((2v 1) 2 1) (16.2-5) and for th straight sidd four-nod quadrilatral, or a rctangl, thy ar simply H(u, v) = [(1 u v + uv) (u uv) (uv) (v uv)] = [(1 u)(1 v) u(1 v) (uv) v(1 u)] (16.2-6) Of cours, thos scalar functions vanish on all dgs that do not includ th scalar nod point. 3

4 Figur A planar paramtric curv with a (non-unit) tangnt vctor Figur Curvd quadrilatral vctor lmnt with two tangnt vctors pr dg 16.3 Edg Basd (Vctor) Finit Elmnts: Th concpt of vctor dg lmnts was introducd by Ndlc in Thy ar dsignd to nforc continuity of th tangntial componnt, along an dg shard with anothr lmnt, but not th normal componnt. Thus, it can satisfy a rquird intrfac condition if th dg is on th intrfac btwn two matrials with diffrnt lctromagntic proprtis. Th simplst of ths is th thr dg triangular lmnt dvlopd by Whitny which is covrd in dtail blow. Edg lmnts ar still a subjct of rsarch and no standard approach has bn found for dvloping a nw lmnt. Most of th nwr attmpts us intrnal dgrs of frdom to incras th polynomial approximation of th vctor. Howvr, thos intrnal dgrs of frdom ar condnsd out at th lmnt lvl (s Sction 7.8) and only th dg dgrs of frdom ar assmbld and usd to comput th solution of th problm. Post-procssing of th solution allows rcovry of th intrnal dgrs of frdom so othr quantitis of intrst can b calculatd mor accuratly. Evry vctor lmnt is basd on dfining on or mor unit vctors tangnt on ach of its dgs and intrpolating btwn thm to dfin th intrior vctor potntial approximation that allows a discontinuity in th normal componnt if th dg lis on matrials with diffrnt lctromagntic proprtis. Thr ar svral ways to dfin such a vctor on an dg, including th gomtric on givn abov. Th tangnt vctor on th j-th dg of th lmnt will b of th form t u(u) j or t v (v)j or t w(w) j sinc on any dg only on paramtric coordinat varis. Within lmnt th dg vctor intrpolation, N j, which is also calld th vctor basis function, for th j-th dgr of frdom, A j. Each tangnt vctor, t j, on an dg is multiplid by a 4

5 scalar function, say h j (u, v, w) that is non-zro in th lmnt intrior. Th physical dirction of th tangnt vctor can b dfind in ithr th paramtric coordinats or physical coordinats. Thus, th form of th vctor intrpolation for an dg is: N j (u, v, w) = hj (u, v, w) t j (16.3-1) Finally, that vctor intrpolation product is multiplid by an unknown constant, say A j whos magnitud is to b dtrmind through th solution of Maxwll s quations ovr th solution domain. In othr words, ach tangnt vctor contributs th vctor portion A j N j (u, v, w) to th total vctor, A, on that dg and on th full intrior of th lmnt. By summing ovr all of th dgs of th lmnt th complt approximation of th vctor potntial solution A within th lmnt is obtaind: n A (u, v, w) = t N j (u, v, w) n j=1 Aj = t j=1 h j (u, v, w) t j A j (16.3-2) whr n t dnots th numbr of tangnt dg vctors pr lmnt. This can also b writtn symbolically, lik (16.3-2), as a matrix product to dfin th vctor potntial insid th lmnt: A (u, v, w) N (u, v, w)a (16.3-3) (3 1) = (3 n t )(n t 1) whr th gathrd valus of th magnituds of ach dg intrpolation ar in A and whr th intrior vctor intrpolation functions associatd with ach lmnt dg ar in N (u, v, w). For xampl, for th quadrilatral in Fig with only on unit tangnt vctor pr dg th intrior intrpolation could b pickd to b N (u, v) = [H 5 (u, v)t 1 H 7 (u, v)t 2 H 8 (u, v)t 3 H 6 (u, v)t 4], A = { }. (16.3-4) A 4 Th total approximation is obtaind by summing ovr all of th vctor lmnts in th msh. Th numbr of unknowns to b found is th numbr of dgs in th msh tims th numbr of tangnt vctors pr dg. A tangnt vctor at a point is th sam for all lmnts sharing that dg curv. Thus, som tangnt vctors in an unstructurd msh will hav to hav thir sign changd in th assmbly procss. Th systm unknowns (dgrs of frdom) ar th cofficints associatd with ach (assmbld) dg vctor, t j Whitny vctor lmnts: Th first dg lmnts, or vctor lmnts, wr dvlopd for simplx lmnts in barycntric coordinats and ar known as Whitny lmnts. On th dg of a straight sidd simplx lmnt in physical spac conncting nods j and k th first Whitny vctor intrpolation for lmnt is A 1 A 2 A 3 N jk (λ) = l jk [λ j λ k λ k λ j ]. (16.4-1) 5

6 For simplx lmnts it happns that th barycntric coordinat of a nod is xactly th sam as th scalar intrpolation function for that nod. For a triangular lmnt λ j (u, v) H j (u, v), thus λ j = λ j u t u + λ j v t v = H j(u,v) u t u + H j(u,v) v t v (16.4-2) whr t u is a unit vctor along th u-axis, as illustratd in th top of Fig Rcall that th scalar nod intrpolations for th linar triangl in unit coordinats ar H(u, v) = [(1 u v) (u) (v)]. Substituting thos intrpolation functions into (16.4-2) for dg 1-2 givs: N 12 (u, v) = l 12 {H 1 (u, v) [ H 2 (u,v) u H 2 (u, v) [ H 1 (u,v) u t u + H 2 (u,v) t v] v t u + H 1 (u,v) t v]} (16.4-3) v N 12 (u, v) = l 12 {(1 u v)[(1)t u + (0)t v] (u)[( 1)t u + ( 1)t v]} or simply: N 12 (u, v) = l 12 {(1 v)t u + ut v}. (16.4-4) Figur Local gradint and unit tangnt vctor on a simplx First, xamin how this vctor fild varis on ach dg as sktchd at th bottom of Fig On dg 1-2 v = 0 so N 12 (u, 0) = l 12 {t u + ut v}. On that dg th vctor has th dsird tangntial componnt combind with a linarly incrasing normal componnt. On dg 1-3 6

7 u = 0 so N 12 (0, v) = l 12 {(1 v)t u + 0 } so that dg th vctor fild has only a linarly dcrasing normal componnt, and finally on dg 2-3 u + v = 1 and N 12 (u, v(u)) = l 12 {(1 (1 u))t u + ut v} = l 12 u{t u + t v} which givs only a linarly incrasing normal componnt. Th complt vctor fild dfind by (16.4-4) is shown, at uniformly spacd sampling points, in th lft box of Fig Figur Thr Whitny dg intrpolations on a triangl, N 12, N 23, N 13 In a similar fashion, th othr two dg vctor intrpolation functions ar found to b: N 23 (u, v) = l 23 {ut v vt u} (16.4-5) N 13 (u, v) = l 13 {(1 u)t v + vt u}. (16.4-6) Thos vctor filds ar shown in Fig in th middl and right boxs, rspctivly. That figur may giv som insight into how th Whitny intrpolations wr dvlopd. Not that for ach dg th vctors appar ar undrgoing a countr-clockwis rigid body rotation about th opposit cornr. That mans that ach of th thr functions has th vry dsirabl proprty (in lctromagntics) of bing divrgnc fr. For xampl, in th paramtric lmnt = u t u + v t v so N 12 = ( u t u + t v) l v 12 {(1 v)t u + ut v} = 0. Summing ovr all of th thr dg functions, as in (16.3-3), givs A = 0. Undr an affin transformation to an arbitrary straight sidd triangl in physical spac this dsirabl condition rmains tru. Gnrally, ths dg vctor constructions crat a constant tangntial componnt along on dg combind with a proportional, linarly incrasing, normal componnt on all dgs. Assmbly of ths lmnts mans that th scond lmnt joining th dg must adapt th sam sns (sign) as th first tangnt vctor on that dg. That mans than in th assmbly (scattr) procss som lmnt matrics ar subtractd rathr that addd to th systm matrics. Th assmbly of two lmnts sharing dg 1-2 is sktchd in Fig

8 Figur Assmbld dg contributions from dg 1-2 For nodal bas lmnts a sufficint, but not ncssary, condition for convrgnc of th solution with msh rfinmnt is that a constant scalar solution can b intrpolatd xactly. A ncssary condition for convrgnc is for th lmnt to pass th patch tst. On might xpct similar conditions for vctor solutions. For xampl, if th solution is a constant vctor you might xpct th vctor intrpolation to yild that vctor vrywhr intrior th lmnt. Th Whitny triangular lmnt only xactly intrpolats th constant vctor solution whn th lmnt is a right triangl and whn th vctor is prpndicular to on of th thr dgs Wak Form: Th quivalnt Galrkin wak form of (16.1-1) for vctor lmnts is ( 1 μ A ) A d + jω 2 σa A d = J s A d. To rduc th scond drivativs in th first intgral mploy th vctor algbra idntity b a = (a b ) + a b and Grn s Thorm th first intgral convrts to ( 1 μ A ) ( A )d so th wak form, bfor applying boundary conditions, is + ( 1 μ A ) A n dγ Γ ( 1 μ A ) ( A )d + jωσa A d = J s A d + ( 1 μ A ) A n dγ Γ On boundary sgmnt Γ D th ncssary condition is A n = 0 (16.5-1) which mans that th tangntial componnt of A is zro on that sgmnt and that also implis that B n = 0 on that boundary. On a non-ovrlapping boundary sgmnt Γ N th boundary condition is 8

9 H n = h (16.5-2) whr H magntic fild intnsity vctor, and h is th known valu on that boundary sgmnt. Including ths boundary conditions th Galrkin wak form is ( 1 μ A ) ( A )d + jωσa A d = J s A d + h A dγ (16.5-3) Γ N??( a x b) x a. n = Dividing th domain into a vctor lmnt msh maks th domain intgrals bcom th sum of th lmnt intgrals, and thus dfins th lmnt matrics for ach vctor lmnt Vctor lmnt matrics: Dividing th domain and its boundaris into a msh of vctor finit lmnts lads to th systm quations (K + M)A = (c s + c h ) which ar assmbld from th lmnt matrics xtractd from th abov wak form: K ij = 1 ( N μ i ) ( N j ) d (16.6-1) M ij = jω σ N i N j d (16.6-2) c i = J s N i d (16.6-3) c b b i = b(h n ) N Γ i dγ. (16.6-4) N Excpt for th gnralizd mass matrix, M, du to lctrical conductivity, ths arrays ar fully intgratd using numrical quadraturs. Th Hlmholtz thorm stats that a vctor fild is uniquly dtrmind only if both its curl and divrgnc, A, ar spcifid. Thrfor, th divrgnc of th magntic vctor potntial should b spcifid by a so-calld gaug condition. Th gaug condition choic may b spcifid frly without affcting th physical problm. Usually, th divrgnc fr condition (th wll-known Coulomb gaug) is imposd, i.. A = 0. (16.6-5) Advancd vctor intrpolations, N j, hav bn dvlopd in th litratur that satisfy th divrgnc fr stat. In such cass th lmnt conductivity matrix, M, is also intgratd fully. Othrwis, (16.6-5) bcoms a constraint on th algbraic systm, which can caus th solution to lock and to giv rsults with maninglss physical drivativs. Th liklihood of a solution locking du to such a constraint can b prdictd by doing a constraint count on a singl lmnt is addd into a uniform structurd msh. Howvr, th dg vctor intrpolation functions usd hr ar not divrgnc fr and xprinc with such constraints shows that a numrical trick is ndd to avoid a systm that locks. That trick is to mploy rducd intgration to valuat th matrix in (16.6-2). Th minimum numbr of quadratur points rquird th valuat th volum of th lmnt,, is usd to comput M. That rndrs M and th assmbld systm M matrix rank dficint, but K and th combind systm matrix (K + M) ar of full rank and can b solvd to yild th dg vctor magnituds, A, that dos not lock th vctor potntial distribution in th domain. 9

10 16.7 Ainsworth lmnts: 16.7 Summary 16.8 Exrciss Indx Ainsworth lmnts, 10 ara-coordinats, 2 assmbly, 5 barycntric coordinats, 2 Coulomb gaug, 10 curl, 10 displacmnt vctor, 1 divrgnc fr, 8 dg basd lmnts, 2 dg tangnt vctor, 5 lctric currnt dnsity, 1 lctrical conductivity, 1 lctromagntics, 1 lmnt conductivity matrix, 10 Exrciss, 10 Galrkin mthod, 9 harmonic frquncy, 1 Hlmholtz thorm, 10 intrfac continuity conditions, 2 intrnal DOF, 4 jumps, 2 magntic fild intnsity, 1 magntic flux dnsity, 1 magntic prmability, 1 magntic vctor potntial, 10 Maxwll's quations, 1 nodal bas lmnts, 8 numrical intgration, 10 rank dficint, 10 rducd intgration, 10 scalar filds, 2 scattr, 8 sign chang, 5 simplx lmnt, 6 Summary, 10 tangntial continuity, 2 tangntial vctor componnts, 2 tim harmonic, 1 unstructurd msh, 5 vctor lmnts, 2, 4 vctor intrpolation, 5 vctor potntial, 1 vctors functions, 2 volum-coordinats, 2 Whitny dg intrpolations, 7 Whitny lmnts, 6 10

3 Finite Element Parametric Geometry

3 Finite Element Parametric Geometry 3 Finit Elmnt Paramtric Gomtry 3. Introduction Th intgral of a matrix is th matrix containing th intgral of ach and vry on of its original componnts. Practical finit lmnt analysis rquirs intgrating matrics,

More information

Finite element discretization of Laplace and Poisson equations

Finite element discretization of Laplace and Poisson equations Finit lmnt discrtization of Laplac and Poisson quations Yashwanth Tummala Tutor: Prof S.Mittal 1 Outlin Finit Elmnt Mthod for 1D Introduction to Poisson s and Laplac s Equations Finit Elmnt Mthod for 2D-Discrtization

More information

AS 5850 Finite Element Analysis

AS 5850 Finite Element Analysis AS 5850 Finit Elmnt Analysis Two-Dimnsional Linar Elasticity Instructor Prof. IIT Madras Equations of Plan Elasticity - 1 displacmnt fild strain- displacmnt rlations (infinitsimal strain) in matrix form

More information

u 3 = u 3 (x 1, x 2, x 3 )

u 3 = u 3 (x 1, x 2, x 3 ) Lctur 23: Curvilinar Coordinats (RHB 8.0 It is oftn convnint to work with variabls othr than th Cartsian coordinats x i ( = x, y, z. For xampl in Lctur 5 w mt sphrical polar and cylindrical polar coordinats.

More information

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis Middl East Tchnical Univrsity Dpartmnt of Mchanical Enginring ME Introduction to Finit Elmnt Analysis Chaptr 5 Two-Dimnsional Formulation Ths nots ar prpard by Dr. Cünyt Srt http://www.m.mtu.du.tr/popl/cunyt

More information

1 Isoparametric Concept

1 Isoparametric Concept UNIVERSITY OF CALIFORNIA BERKELEY Dpartmnt of Civil Enginring Spring 06 Structural Enginring, Mchanics and Matrials Profssor: S. Govindj Nots on D isoparamtric lmnts Isoparamtric Concpt Th isoparamtric

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 0 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat th

More information

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013 18.782 Introduction to Arithmtic Gomtry Fall 2013 Lctur #20 11/14/2013 20.1 Dgr thorm for morphisms of curvs Lt us rstat th thorm givn at th nd of th last lctur, which w will now prov. Thorm 20.1. Lt φ:

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

surface of a dielectric-metal interface. It is commonly used today for discovering the ways in

surface of a dielectric-metal interface. It is commonly used today for discovering the ways in Surfac plasmon rsonanc is snsitiv mchanism for obsrving slight changs nar th surfac of a dilctric-mtal intrfac. It is commonl usd toda for discovring th was in which protins intract with thir nvironmnt,

More information

That is, we start with a general matrix: And end with a simpler matrix:

That is, we start with a general matrix: And end with a simpler matrix: DIAGON ALIZATION OF THE STR ESS TEN SOR INTRO DUCTIO N By th us of Cauchy s thorm w ar abl to rduc th numbr of strss componnts in th strss tnsor to only nin valus. An additional simplification of th strss

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 07 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat

More information

GENERAL INTERPOLATION

GENERAL INTERPOLATION Chaptr 9 GENERAL INTERPOLATION 9. Introduction Th prvious sctions hav illustratd th havy dpndnc of finit lmnt mthods on both spatial intrpolation and fficint intgrations. In a on-dimnsional problm it dos

More information

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis Middl East Tchnical Univrsity Dpartmnt of Mchanical Enginring ME 43 Introduction to Finit Elmnt Analysis Chaptr 3 Computr Implmntation of D FEM Ths nots ar prpard by Dr. Cünyt Srt http://www.m.mtu.du.tr/popl/cunyt

More information

Einstein Equations for Tetrad Fields

Einstein Equations for Tetrad Fields Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for

More information

Dynamic Modelling of Hoisting Steel Wire Rope. Da-zhi CAO, Wen-zheng DU, Bao-zhu MA *

Dynamic Modelling of Hoisting Steel Wire Rope. Da-zhi CAO, Wen-zheng DU, Bao-zhu MA * 17 nd Intrnational Confrnc on Mchanical Control and Automation (ICMCA 17) ISBN: 978-1-6595-46-8 Dynamic Modlling of Hoisting Stl Wir Rop Da-zhi CAO, Wn-zhng DU, Bao-zhu MA * and Su-bing LIU Xi an High

More information

MAE4700/5700 Finite Element Analysis for Mechanical and Aerospace Design

MAE4700/5700 Finite Element Analysis for Mechanical and Aerospace Design MAE4700/5700 Finit Elmnt Analysis for Mchanical and Arospac Dsign Cornll Univrsity, Fall 2009 Nicholas Zabaras Matrials Procss Dsign and Control Laboratory Sibly School of Mchanical and Arospac Enginring

More information

MATH 319, WEEK 15: The Fundamental Matrix, Non-Homogeneous Systems of Differential Equations

MATH 319, WEEK 15: The Fundamental Matrix, Non-Homogeneous Systems of Differential Equations MATH 39, WEEK 5: Th Fundamntal Matrix, Non-Homognous Systms of Diffrntial Equations Fundamntal Matrics Considr th problm of dtrmining th particular solution for an nsmbl of initial conditions For instanc,

More information

2. Background Material

2. Background Material S. Blair Sptmbr 3, 003 4. Background Matrial Th rst of this cours dals with th gnration, modulation, propagation, and ction of optical radiation. As such, bic background in lctromagntics and optics nds

More information

Function Spaces. a x 3. (Letting x = 1 =)) a(0) + b + c (1) = 0. Row reducing the matrix. b 1. e 4 3. e 9. >: (x = 1 =)) a(0) + b + c (1) = 0

Function Spaces. a x 3. (Letting x = 1 =)) a(0) + b + c (1) = 0. Row reducing the matrix. b 1. e 4 3. e 9. >: (x = 1 =)) a(0) + b + c (1) = 0 unction Spacs Prrquisit: Sction 4.7, Coordinatization n this sction, w apply th tchniqus of Chaptr 4 to vctor spacs whos lmnts ar functions. Th vctor spacs P n and P ar familiar xampls of such spacs. Othr

More information

Mor Tutorial at www.dumblittldoctor.com Work th problms without a calculator, but us a calculator to chck rsults. And try diffrntiating your answrs in part III as a usful chck. I. Applications of Intgration

More information

VSMN30 FINITA ELEMENTMETODEN - DUGGA

VSMN30 FINITA ELEMENTMETODEN - DUGGA VSMN3 FINITA ELEMENTMETODEN - DUGGA 1-11-6 kl. 8.-1. Maximum points: 4, Rquird points to pass: Assistanc: CALFEM manual and calculator Problm 1 ( 8p ) 8 7 6 5 y 4 1. m x 1 3 1. m Th isotropic two-dimnsional

More information

Lecture Outline. Skin Depth Power Flow 8/7/2018. EE 4347 Applied Electromagnetics. Topic 3e

Lecture Outline. Skin Depth Power Flow 8/7/2018. EE 4347 Applied Electromagnetics. Topic 3e 8/7/018 Cours Instructor Dr. Raymond C. Rumpf Offic: A 337 Phon: (915) 747 6958 E Mail: rcrumpf@utp.du EE 4347 Applid Elctromagntics Topic 3 Skin Dpth & Powr Flow Skin Dpth Ths & Powr nots Flow may contain

More information

1.2 Faraday s law A changing magnetic field induces an electric field. Their relation is given by:

1.2 Faraday s law A changing magnetic field induces an electric field. Their relation is given by: Elctromagntic Induction. Lorntz forc on moving charg Point charg moving at vlocity v, F qv B () For a sction of lctric currnt I in a thin wir dl is Idl, th forc is df Idl B () Elctromotiv forc f s any

More information

Basic Polyhedral theory

Basic Polyhedral theory Basic Polyhdral thory Th st P = { A b} is calld a polyhdron. Lmma 1. Eithr th systm A = b, b 0, 0 has a solution or thr is a vctorπ such that π A 0, πb < 0 Thr cass, if solution in top row dos not ist

More information

A Propagating Wave Packet Group Velocity Dispersion

A Propagating Wave Packet Group Velocity Dispersion Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to

More information

ECE602 Exam 1 April 5, You must show ALL of your work for full credit.

ECE602 Exam 1 April 5, You must show ALL of your work for full credit. ECE62 Exam April 5, 27 Nam: Solution Scor: / This xam is closd-book. You must show ALL of your work for full crdit. Plas rad th qustions carfully. Plas chck your answrs carfully. Calculators may NOT b

More information

Why is a E&M nature of light not sufficient to explain experiments?

Why is a E&M nature of light not sufficient to explain experiments? 1 Th wird world of photons Why is a E&M natur of light not sufficint to xplain xprimnts? Do photons xist? Som quantum proprtis of photons 2 Black body radiation Stfan s law: Enrgy/ ara/ tim = Win s displacmnt

More information

SCHUR S THEOREM REU SUMMER 2005

SCHUR S THEOREM REU SUMMER 2005 SCHUR S THEOREM REU SUMMER 2005 1. Combinatorial aroach Prhas th first rsult in th subjct blongs to I. Schur and dats back to 1916. On of his motivation was to study th local vrsion of th famous quation

More information

CPSC 665 : An Algorithmist s Toolkit Lecture 4 : 21 Jan Linear Programming

CPSC 665 : An Algorithmist s Toolkit Lecture 4 : 21 Jan Linear Programming CPSC 665 : An Algorithmist s Toolkit Lctur 4 : 21 Jan 2015 Lcturr: Sushant Sachdva Linar Programming Scrib: Rasmus Kyng 1. Introduction An optimization problm rquirs us to find th minimum or maximum) of

More information

MA 262, Spring 2018, Final exam Version 01 (Green)

MA 262, Spring 2018, Final exam Version 01 (Green) MA 262, Spring 218, Final xam Vrsion 1 (Grn) INSTRUCTIONS 1. Switch off your phon upon ntring th xam room. 2. Do not opn th xam booklt until you ar instructd to do so. 3. Bfor you opn th booklt, fill in

More information

Ch. 24 Molecular Reaction Dynamics 1. Collision Theory

Ch. 24 Molecular Reaction Dynamics 1. Collision Theory Ch. 4 Molcular Raction Dynamics 1. Collision Thory Lctur 16. Diffusion-Controlld Raction 3. Th Matrial Balanc Equation 4. Transition Stat Thory: Th Eyring Equation 5. Transition Stat Thory: Thrmodynamic

More information

PHYSICS 489/1489 LECTURE 7: QUANTUM ELECTRODYNAMICS

PHYSICS 489/1489 LECTURE 7: QUANTUM ELECTRODYNAMICS PHYSICS 489/489 LECTURE 7: QUANTUM ELECTRODYNAMICS REMINDER Problm st du today 700 in Box F TODAY: W invstigatd th Dirac quation it dscribs a rlativistic spin /2 particl implis th xistnc of antiparticl

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

More information

Elements of Statistical Thermodynamics

Elements of Statistical Thermodynamics 24 Elmnts of Statistical Thrmodynamics Statistical thrmodynamics is a branch of knowldg that has its own postulats and tchniqus. W do not attmpt to giv hr vn an introduction to th fild. In this chaptr,

More information

Derivation of Electron-Electron Interaction Terms in the Multi-Electron Hamiltonian

Derivation of Electron-Electron Interaction Terms in the Multi-Electron Hamiltonian Drivation of Elctron-Elctron Intraction Trms in th Multi-Elctron Hamiltonian Erica Smith Octobr 1, 010 1 Introduction Th Hamiltonian for a multi-lctron atom with n lctrons is drivd by Itoh (1965) by accounting

More information

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 401 Digital Signal Procssing Prof. Mark Fowlr Dtails of th ot St #19 Rading Assignmnt: Sct. 7.1.2, 7.1.3, & 7.2 of Proakis & Manolakis Dfinition of th So Givn signal data points x[n] for n = 0,, -1

More information

5.80 Small-Molecule Spectroscopy and Dynamics

5.80 Small-Molecule Spectroscopy and Dynamics MIT OpnCoursWar http://ocw.mit.du 5.80 Small-Molcul Spctroscopy and Dynamics Fall 008 For information about citing ths matrials or our Trms of Us, visit: http://ocw.mit.du/trms. Lctur # 3 Supplmnt Contnts

More information

DIFFERENTIAL EQUATION

DIFFERENTIAL EQUATION MD DIFFERENTIAL EQUATION Sllabus : Ordinar diffrntial quations, thir ordr and dgr. Formation of diffrntial quations. Solution of diffrntial quations b th mthod of sparation of variabls, solution of homognous

More information

Hydrogen Atom and One Electron Ions

Hydrogen Atom and One Electron Ions Hydrogn Atom and On Elctron Ions Th Schrödingr quation for this two-body problm starts out th sam as th gnral two-body Schrödingr quation. First w sparat out th motion of th cntr of mass. Th intrnal potntial

More information

Introduction to Condensed Matter Physics

Introduction to Condensed Matter Physics Introduction to Condnsd Mattr Physics pcific hat M.P. Vaughan Ovrviw Ovrviw of spcific hat Hat capacity Dulong-Ptit Law Einstin modl Dby modl h Hat Capacity Hat capacity h hat capacity of a systm hld at

More information

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, April 04, 2005, 8:35 AM) PART I: CHAPTER TWO COMB MATH.

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, April 04, 2005, 8:35 AM) PART I: CHAPTER TWO COMB MATH. C:\Dallas\0_Courss\03A_OpSci_67\0 Cgh_Book\0_athmaticalPrliminaris\0_0 Combath.doc of 8 COPUTER GENERATED HOLOGRAS Optical Scincs 67 W.J. Dallas (onday, April 04, 005, 8:35 A) PART I: CHAPTER TWO COB ATH

More information

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero. SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain

More information

The graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the

The graph of y = x (or y = ) consists of two branches, As x 0, y + ; as x 0, y +. x = 0 is the Copyright itutcom 005 Fr download & print from wwwitutcom Do not rproduc by othr mans Functions and graphs Powr functions Th graph of n y, for n Q (st of rational numbrs) y is a straight lin through th

More information

CHAPTER 2 LAGRANGIAN AND EULERIAN FINITE ELEMENTS IN ONE DIMENSION

CHAPTER 2 LAGRANGIAN AND EULERIAN FINITE ELEMENTS IN ONE DIMENSION CHAPTER 2 LAGRANGIAN AND EULERIAN FINITE ELEMENTS IN ONE DIMENSION by Td Blytschko Northwstrn Univrsity @ Copyright 1997 2.1 Introduction In this chaptr, th quations for on-dimnsional modls of nonlinar

More information

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002 3.4 Forc Analysis of Linkas An undrstandin of forc analysis of linkas is rquird to: Dtrmin th raction forcs on pins, tc. as a consqunc of a spcifid motion (don t undrstimat th sinificanc of dynamic or

More information

CS 361 Meeting 12 10/3/18

CS 361 Meeting 12 10/3/18 CS 36 Mting 2 /3/8 Announcmnts. Homwork 4 is du Friday. If Friday is Mountain Day, homwork should b turnd in at my offic or th dpartmnt offic bfor 4. 2. Homwork 5 will b availabl ovr th wknd. 3. Our midtrm

More information

1 General boundary conditions in diffusion

1 General boundary conditions in diffusion Gnral boundary conditions in diffusion Πρόβλημα 4.8 : Δίνεται μονοδιάτατη πλάκα πάχους, που το ένα άκρο της κρατιέται ε θερμοκραία T t και το άλλο ε θερμοκραία T 2 t. Αν η αρχική θερμοκραία της πλάκας

More information

Higher order derivatives

Higher order derivatives Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of

More information

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula 7. Intgration by Parts Each drivativ formula givs ris to a corrsponding intgral formula, as w v sn many tims. Th drivativ product rul yilds a vry usful intgration tchniqu calld intgration by parts. Starting

More information

Element connectivity parameterization method for the stress based topology optimization for geometrically nonlinear structure

Element connectivity parameterization method for the stress based topology optimization for geometrically nonlinear structure 0 th World Congrss on Structural and Multidisciplinary Optimization May 9-4, 03, Orlando, Florida, USA Elmnt connctivity paramtrization mthod for th strss basd topology optimization for gomtrically nonlinar

More information

Computing and Communications -- Network Coding

Computing and Communications -- Network Coding 89 90 98 00 Computing and Communications -- Ntwork Coding Dr. Zhiyong Chn Institut of Wirlss Communications Tchnology Shanghai Jiao Tong Univrsity China Lctur 5- Nov. 05 0 Classical Information Thory Sourc

More information

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim. MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function

More information

2008 AP Calculus BC Multiple Choice Exam

2008 AP Calculus BC Multiple Choice Exam 008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl

More information

VII. Quantum Entanglement

VII. Quantum Entanglement VII. Quantum Entanglmnt Quantum ntanglmnt is a uniqu stat of quantum suprposition. It has bn studid mainly from a scintific intrst as an vidnc of quantum mchanics. Rcntly, it is also bing studid as a basic

More information

EE243 Advanced Electromagnetic Theory Lec # 23 Scattering and Diffraction. Reading: Jackson Chapter , lite

EE243 Advanced Electromagnetic Theory Lec # 23 Scattering and Diffraction. Reading: Jackson Chapter , lite Applid M Fall 6, Nuruthr Lctur #3 Vr /5/6 43 Advancd lctromagntic Thory Lc # 3 cattring and Diffraction calar Diffraction Thory Vctor Diffraction Thory Babint and Othr Principls Optical Thorm ading: Jackson

More information

Supplementary Materials

Supplementary Materials 6 Supplmntary Matrials APPENDIX A PHYSICAL INTERPRETATION OF FUEL-RATE-SPEED FUNCTION A truck running on a road with grad/slop θ positiv if moving up and ngativ if moving down facs thr rsistancs: arodynamic

More information

Week 3: Connected Subgraphs

Week 3: Connected Subgraphs Wk 3: Connctd Subgraphs Sptmbr 19, 2016 1 Connctd Graphs Path, Distanc: A path from a vrtx x to a vrtx y in a graph G is rfrrd to an xy-path. Lt X, Y V (G). An (X, Y )-path is an xy-path with x X and y

More information

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J.

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J. Probability and Stochastic Procsss: A Frindly Introduction for Elctrical and Computr Enginrs Roy D. Yats and David J. Goodman Problm Solutions : Yats and Goodman,4.3. 4.3.4 4.3. 4.4. 4.4.4 4.4.6 4.. 4..7

More information

0WAVE PROPAGATION IN MATERIAL SPACE

0WAVE PROPAGATION IN MATERIAL SPACE 0WAVE PROPAGATION IN MATERIAL SPACE All forms of EM nrgy shar thr fundamntal charactristics: 1) thy all tral at high locity 2) In traling, thy assum th proprtis of was 3) Thy radiat outward from a sourc

More information

The Equitable Dominating Graph

The Equitable Dominating Graph Intrnational Journal of Enginring Rsarch and Tchnology. ISSN 0974-3154 Volum 8, Numbr 1 (015), pp. 35-4 Intrnational Rsarch Publication Hous http://www.irphous.com Th Equitabl Dominating Graph P.N. Vinay

More information

Search sequence databases 3 10/25/2016

Search sequence databases 3 10/25/2016 Sarch squnc databass 3 10/25/2016 Etrm valu distribution Ø Suppos X is a random variabl with probability dnsity function p(, w sampl a larg numbr S of indpndnt valus of X from this distribution for an

More information

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals.

Background: We have discussed the PIB, HO, and the energy of the RR model. In this chapter, the H-atom, and atomic orbitals. Chaptr 7 Th Hydrogn Atom Background: W hav discussd th PIB HO and th nrgy of th RR modl. In this chaptr th H-atom and atomic orbitals. * A singl particl moving undr a cntral forc adoptd from Scott Kirby

More information

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation.

Fourier Transforms and the Wave Equation. Key Mathematics: More Fourier transform theory, especially as applied to solving the wave equation. Lur 7 Fourir Transforms and th Wav Euation Ovrviw and Motivation: W first discuss a fw faturs of th Fourir transform (FT), and thn w solv th initial-valu problm for th wav uation using th Fourir transform

More information

Brief Introduction to Statistical Mechanics

Brief Introduction to Statistical Mechanics Brif Introduction to Statistical Mchanics. Purpos: Ths nots ar intndd to provid a vry quick introduction to Statistical Mchanics. Th fild is of cours far mor vast than could b containd in ths fw pags.

More information

(1) Then we could wave our hands over this and it would become:

(1) Then we could wave our hands over this and it would become: MAT* K285 Spring 28 Anthony Bnoit 4/17/28 Wk 12: Laplac Tranform Rading: Kohlr & Johnon, Chaptr 5 to p. 35 HW: 5.1: 3, 7, 1*, 19 5.2: 1, 5*, 13*, 19, 45* 5.3: 1, 11*, 19 * Pla writ-up th problm natly and

More information

FEM FOR HEAT TRANSFER PROBLEMS دانشگاه صنعتي اصفهان- دانشكده مكانيك

FEM FOR HEAT TRANSFER PROBLEMS دانشگاه صنعتي اصفهان- دانشكده مكانيك FEM FOR HE RNSFER PROBLEMS 1 Fild problms Gnral orm o systm quations o D linar stady stat ild problms: For 1D problms: D D g Q y y (Hlmholtz quation) d D g Q d Fild problms Hat transr in D in h h ( D D

More information

Finite Element Models for Steady Flows of Viscous Incompressible Fluids

Finite Element Models for Steady Flows of Viscous Incompressible Fluids Finit Elmnt Modls for Stad Flows of Viscous Incomprssibl Fluids Rad: Chaptr 10 JN Rdd CONTENTS Govrning Equations of Flows of Incomprssibl Fluids Mid (Vlocit-Prssur) Finit Elmnt Modl Pnalt Function Mthod

More information

What are those βs anyway? Understanding Design Matrix & Odds ratios

What are those βs anyway? Understanding Design Matrix & Odds ratios Ral paramtr stimat WILD 750 - Wildlif Population Analysis of 6 What ar thos βs anyway? Undrsting Dsign Matrix & Odds ratios Rfrncs Hosmr D.W.. Lmshow. 000. Applid logistic rgrssion. John Wily & ons Inc.

More information

2.3 Matrix Formulation

2.3 Matrix Formulation 23 Matrix Formulation 43 A mor complicatd xampl ariss for a nonlinar systm of diffrntial quations Considr th following xampl Exampl 23 x y + x( x 2 y 2 y x + y( x 2 y 2 (233 Transforming to polar coordinats,

More information

Searching Linked Lists. Perfect Skip List. Building a Skip List. Skip List Analysis (1) Assume the list is sorted, but is stored in a linked list.

Searching Linked Lists. Perfect Skip List. Building a Skip List. Skip List Analysis (1) Assume the list is sorted, but is stored in a linked list. 3 3 4 8 6 3 3 4 8 6 3 3 4 8 6 () (d) 3 Sarching Linkd Lists Sarching Linkd Lists Sarching Linkd Lists ssum th list is sortd, but is stord in a linkd list. an w us binary sarch? omparisons? Work? What if

More information

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1

Recall that by Theorems 10.3 and 10.4 together provide us the estimate o(n2 ), S(q) q 9, q=1 Chaptr 11 Th singular sris Rcall that by Thorms 10 and 104 togthr provid us th stimat 9 4 n 2 111 Rn = SnΓ 2 + on2, whr th singular sris Sn was dfind in Chaptr 10 as Sn = q=1 Sq q 9, with Sq = 1 a q gcda,q=1

More information

1 Minimum Cut Problem

1 Minimum Cut Problem CS 6 Lctur 6 Min Cut and argr s Algorithm Scribs: Png Hui How (05), Virginia Dat: May 4, 06 Minimum Cut Problm Today, w introduc th minimum cut problm. This problm has many motivations, on of which coms

More information

Higher-Order Discrete Calculus Methods

Higher-Order Discrete Calculus Methods Highr-Ordr Discrt Calculus Mthods J. Blair Prot V. Subramanian Ralistic Practical, Cost-ctiv, Physically Accurat Paralll, Moving Msh, Complx Gomtry, Slid 1 Contxt Discrt Calculus Mthods Finit Dirnc Mimtic

More information

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis

Middle East Technical University Department of Mechanical Engineering ME 413 Introduction to Finite Element Analysis Middl East Tchnical Univrsity Dpartmnt of Mchanical Enginring ME 4 Introduction to Finit Elmnt Analysis Chaptr 4 Trusss, Bams and Frams Ths nots ar prpard by Dr. Cünyt Srt http://www.m.mtu.du.tr/popl/cunyt

More information

Quasi-Classical States of the Simple Harmonic Oscillator

Quasi-Classical States of the Simple Harmonic Oscillator Quasi-Classical Stats of th Simpl Harmonic Oscillator (Draft Vrsion) Introduction: Why Look for Eignstats of th Annihilation Oprator? Excpt for th ground stat, th corrspondnc btwn th quantum nrgy ignstats

More information

perm4 A cnt 0 for for if A i 1 A i cnt cnt 1 cnt i j. j k. k l. i k. j l. i l

perm4 A cnt 0 for for if A i 1 A i cnt cnt 1 cnt i j. j k. k l. i k. j l. i l h 4D, 4th Rank, Antisytric nsor and th 4D Equivalnt to th Cross Product or Mor Fun with nsors!!! Richard R Shiffan Digital Graphics Assoc 8 Dunkirk Av LA, Ca 95 rrs@isidu his docunt dscribs th four dinsional

More information

The pn junction: 2 Current vs Voltage (IV) characteristics

The pn junction: 2 Current vs Voltage (IV) characteristics Th pn junction: Currnt vs Voltag (V) charactristics Considr a pn junction in quilibrium with no applid xtrnal voltag: o th V E F E F V p-typ Dpltion rgion n-typ Elctron movmnt across th junction: 1. n

More information

10. The Discrete-Time Fourier Transform (DTFT)

10. The Discrete-Time Fourier Transform (DTFT) Th Discrt-Tim Fourir Transform (DTFT Dfinition of th discrt-tim Fourir transform Th Fourir rprsntation of signals plays an important rol in both continuous and discrt signal procssing In this sction w

More information

Direct Approach for Discrete Systems One-Dimensional Elements

Direct Approach for Discrete Systems One-Dimensional Elements CONTINUUM & FINITE ELEMENT METHOD Dirct Approach or Discrt Systms On-Dimnsional Elmnts Pro. Song Jin Par Mchanical Enginring, POSTECH Dirct Approach or Discrt Systms Dirct approach has th ollowing aturs:

More information

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches. Subjct Chmistry Papr No and Titl Modul No and Titl Modul Tag 8/ Physical Spctroscopy / Brakdown of th Born-Oppnhimr approximation. Slction ruls for rotational-vibrational transitions. P, R branchs. CHE_P8_M

More information

4037 ADDITIONAL MATHEMATICS

4037 ADDITIONAL MATHEMATICS CAMBRIDGE INTERNATIONAL EXAMINATIONS GCE Ordinary Lvl MARK SCHEME for th Octobr/Novmbr 0 sris 40 ADDITIONAL MATHEMATICS 40/ Papr, maimum raw mark 80 This mark schm is publishd as an aid to tachrs and candidats,

More information

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields

Lecture 37 (Schrödinger Equation) Physics Spring 2018 Douglas Fields Lctur 37 (Schrödingr Equation) Physics 6-01 Spring 018 Douglas Filds Rducd Mass OK, so th Bohr modl of th atom givs nrgy lvls: E n 1 k m n 4 But, this has on problm it was dvlopd assuming th acclration

More information

BSc Engineering Sciences A. Y. 2017/18 Written exam of the course Mathematical Analysis 2 August 30, x n, ) n 2

BSc Engineering Sciences A. Y. 2017/18 Written exam of the course Mathematical Analysis 2 August 30, x n, ) n 2 BSc Enginring Scincs A. Y. 27/8 Writtn xam of th cours Mathmatical Analysis 2 August, 28. Givn th powr sris + n + n 2 x n, n n dtrmin its radius of convrgnc r, and study th convrgnc for x ±r. By th root

More information

Part 7: Capacitance And Capacitors

Part 7: Capacitance And Capacitors Part 7: apacitanc And apacitors 7. Elctric harg And Elctric Filds onsidr a pair of flat, conducting plats, arrangd paralll to ach othr (as in figur 7.) and sparatd by an insulator, which may simply b air.

More information

ph People Grade Level: basic Duration: minutes Setting: classroom or field site

ph People Grade Level: basic Duration: minutes Setting: classroom or field site ph Popl Adaptd from: Whr Ar th Frogs? in Projct WET: Curriculum & Activity Guid. Bozman: Th Watrcours and th Council for Environmntal Education, 1995. ph Grad Lvl: basic Duration: 10 15 minuts Stting:

More information

Another view for a posteriori error estimates for variational inequalities of the second kind

Another view for a posteriori error estimates for variational inequalities of the second kind Accptd by Applid Numrical Mathmatics in July 2013 Anothr viw for a postriori rror stimats for variational inqualitis of th scond kind Fi Wang 1 and Wimin Han 2 Abstract. In this papr, w giv anothr viw

More information

Symmetric centrosymmetric matrix vector multiplication

Symmetric centrosymmetric matrix vector multiplication Linar Algbra and its Applications 320 (2000) 193 198 www.lsvir.com/locat/laa Symmtric cntrosymmtric matrix vctor multiplication A. Mlman 1 Dpartmnt of Mathmatics, Univrsity of San Francisco, San Francisco,

More information

Introduction to the quantum theory of matter and Schrödinger s equation

Introduction to the quantum theory of matter and Schrödinger s equation Introduction to th quantum thory of mattr and Schrödingr s quation Th quantum thory of mattr assums that mattr has two naturs: a particl natur and a wa natur. Th particl natur is dscribd by classical physics

More information

Coupled Pendulums. Two normal modes.

Coupled Pendulums. Two normal modes. Tim Dpndnt Two Stat Problm Coupld Pndulums Wak spring Two normal mods. No friction. No air rsistanc. Prfct Spring Start Swinging Som tim latr - swings with full amplitud. stationary M +n L M +m Elctron

More information

CHAPTER 1. Introductory Concepts Elements of Vector Analysis Newton s Laws Units The basis of Newtonian Mechanics D Alembert s Principle

CHAPTER 1. Introductory Concepts Elements of Vector Analysis Newton s Laws Units The basis of Newtonian Mechanics D Alembert s Principle CHPTER 1 Introductory Concpts Elmnts of Vctor nalysis Nwton s Laws Units Th basis of Nwtonian Mchanics D lmbrt s Principl 1 Scinc of Mchanics: It is concrnd with th motion of matrial bodis. odis hav diffrnt

More information

Math 34A. Final Review

Math 34A. Final Review Math A Final Rviw 1) Us th graph of y10 to find approimat valus: a) 50 0. b) y (0.65) solution for part a) first writ an quation: 50 0. now tak th logarithm of both sids: log() log(50 0. ) pand th right

More information

Differential Equations

Differential Equations Prfac Hr ar m onlin nots for m diffrntial quations cours that I tach hr at Lamar Univrsit. Dspit th fact that ths ar m class nots, th should b accssibl to anon wanting to larn how to solv diffrntial quations

More information

Propositional Logic. Combinatorial Problem Solving (CPS) Albert Oliveras Enric Rodríguez-Carbonell. May 17, 2018

Propositional Logic. Combinatorial Problem Solving (CPS) Albert Oliveras Enric Rodríguez-Carbonell. May 17, 2018 Propositional Logic Combinatorial Problm Solving (CPS) Albrt Olivras Enric Rodríguz-Carbonll May 17, 2018 Ovrviw of th sssion Dfinition of Propositional Logic Gnral Concpts in Logic Rduction to SAT CNFs

More information

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter WHEN THE CRAMÉR-RAO INEQUALITY PROVIDES NO INFORMATION STEVEN J. MILLER Abstract. W invstigat a on-paramtr family of probability dnsitis (rlatd to th Parto distribution, which dscribs many natural phnomna)

More information

Pipe flow friction, small vs. big pipes

Pipe flow friction, small vs. big pipes Friction actor (t/0 t o pip) Friction small vs larg pips J. Chaurtt May 016 It is an intrsting act that riction is highr in small pips than largr pips or th sam vlocity o low and th sam lngth. Friction

More information

On the irreducibility of some polynomials in two variables

On the irreducibility of some polynomials in two variables ACTA ARITHMETICA LXXXII.3 (1997) On th irrducibility of som polynomials in two variabls by B. Brindza and Á. Pintér (Dbrcn) To th mmory of Paul Erdős Lt f(x) and g(y ) b polynomials with intgral cofficints

More information

Homotopy perturbation technique

Homotopy perturbation technique Comput. Mthods Appl. Mch. Engrg. 178 (1999) 257±262 www.lsvir.com/locat/cma Homotopy prturbation tchniqu Ji-Huan H 1 Shanghai Univrsity, Shanghai Institut of Applid Mathmatics and Mchanics, Shanghai 272,

More information

Solution: APPM 1360 Final (150 pts) Spring (60 pts total) The following parts are not related, justify your answers:

Solution: APPM 1360 Final (150 pts) Spring (60 pts total) The following parts are not related, justify your answers: APPM 6 Final 5 pts) Spring 4. 6 pts total) Th following parts ar not rlatd, justify your answrs: a) Considr th curv rprsntd by th paramtric quations, t and y t + for t. i) 6 pts) Writ down th corrsponding

More information