PART 1: VECTOR & TENSOR ANALYSIS
|
|
- Griselda Farmer
- 6 years ago
- Views:
Transcription
1 PART : VECTOR & TENSOR ANALYSIS wth LINEAR ALGEBRA Obectves Introduce the concepts, theores, nd opertonl mplementton of vectors, nd more generlly tensors, n dvnced engneerng nlyss. The emphss s on geometrc nd physcl nterprettons for engneerng pplctons. Study some of the fundmentl rules of lner lgebr nd show nloges wth tensor nlyss. We wll study elementry topcs of lner lgebr: Mtrces, determnnts, systems of lner equtons, nd egenvlues nd egenvectors.
2 Vector Defntons Descrpton of Physcl Qunttes Sclr: A quntty descrbed only by mgntude; descrbed sngle number, e.g., temperture, pressure, Vector: A quntty descrbed by both mgntude nd drecton, e.g., velocty, dsplcement, Tensor: A hgher-order vector, gves nformton n ddton to mgntude nd drecton, e.g., the stte of stress nd strn n contnuous medum re secondorder tensors. 2
3 Vector Defntons A free vector cn be dsplced prllel to tself nd ct t ny pont; requres three numbers to specfy free vector, e.g., velocty. A sldng vector cn only be dsplced long lne through fxed pont contnng the vector; requres fve numbers to specfy sldng vector, ntersecton of lne nd coordnte plne (2) nd the vector (3), e.g., force. α β A bound vector requres sx numbers (coordntes ponts x, x 2 ), e.g., dsplcement. x x 2 3
4 Vector Defntons b Vectors hve mgntude nd drecton nd stsfy the prllelogrm lw of ddton. + b Exmple: A fnte rotton hs mgntude nd drecton, but s t vector but the lne segment (rc) tht connects nd b. Therefore, fnte rotton s not vector snce t does not stsfy the geometrc defnton. (Wht bout dfferentl rotton?) b + b 4
5 Vector Defntons Invrnce Vectors re nvrnt under coordnte trnsformton. Exmple: The poston vectors r nd r 2 ndcte the poston of the fxed pont s the coordnte system trnsltes. After the coordnte trnslton, r r 2 therefore, poston vector s relly not vector snce t s not nvrnt under coordnte trnslton! (Wht bout pure coordnte rotton?) r r 2 5
6 Vector Algebr Elementry Opertons Addton + b = b + commuttvty + b + c = ( + b) + c = + (b + c) ssoctvty + 0 = ddtve dentty b + b b + c + b + c c Subtrcton b = + ( b) b b + b b 6
7 Vector Algebr Sclr Multplcton m = m m = m, m > 0 m = m, m < 0 0 = 0 Dvson s not defned vector operton Unt Vector (/2) ( ) 2 eˆ = = ˆ e = A vector cn lwys be wrtten n terms of pure mgntude nd drecton usng unt vector = ˆ e drecton mgntude 7
8 Vector Algebr Lner Dependence Gven vectors {, 2,, n } nd sclrs {β,β 2,,β n }, not ll zero. If one cn wrte, β + β + + β = n n () then the vectors re lnerly dependent,.e., one s lner combnton of the others. Exmple: n n β = 2, = colner 2 β2 = 3, = ( β + β ) β3 coplnr If () cnnot be stsfed, the vectors re lnerly ndependent. 8
9 Vector Algebr Expnson of Vector wth Respect to Other Vectors Gven nd b, lnerly ndependent m (non-colner) then, vectors c nd d cn lwys be constructed: 2D: c = m + nb 3D: d = m + nb + pc Sclr (Dot, Inner) Product b= b cos(, b) = bcos θ, 0 θ π Rules b = b ( b+ c) = ( b) + ( c) If b (orthogonl) b = bcos( π / 2) = 4. If b = 0 b or = 0 or b = 0 0 b nb pc θ π θ = 2 nb + pc b b c d 9
10 Vector Algebr 4. = 2 = = 2 5. e ˆ = cos θ = e proecton of n drecton of eˆ ê θ Exmple: Vector representton of work: e ˆ proecton of force mgntude of work = n drecton dsplcement of dsplcement dw = ( f cos θ ) ( ds) = f ds Vector (Cross, Skew, Outer) Product b= c= bsnθ eˆ b The vector product obeys the rght-hnd rule: Brngng nto b dvnces eˆ b n the drecton of rght-hnded screw. c eˆ b b θ 0
11 Vector Algebr Other rules:. b= b ntcommuttvty 2. If b θ = 0 or θ = π snθ = 0 b= 0. If b= 0 then ether b or = 0 or b= ( + b) c= ( c) + ( b c) dstrbutve but order must be preserved. Exmple: Moment (torque) bout some pont O from force ctng t pont P. r poston of pont P wth respect to O f m l force moment (torque) perpendculr dstnce from O to lne through f m= r f = rf snθeˆ = fleˆ m m eˆm O O l m r f θ r P P f θ
12 Vector Algebr Ths defnton of plne re cn be generlzed to descrbe generl plne re s vector quntty. By conventon, the re s enclosed on the left sde when trversng the closed contour n counterclockwse drecton. ˆn S s = Snˆ C Exmple: Determne the proected re from the oblque cut through crculr cylnder S = mgntude of slnt re S = mgntude of proected re nˆ = unt norml to re S s = S nˆ, s= Snˆ S s the proecton of s n drecton of S = sn ˆ = Snn ˆ ˆ ˆ n ˆn S ˆ n S 2
13 Vector Algebr Rgd-Body Rotton Determne the velocty t ny pont n n rbtrrly shped, 3-D body rottng bout some rbtrry xs. eˆω ω r = poston vector v = lner velocty ω = ngulr velocty t pont P: v= ωˆ e from geometry: = rsnθ v= ωr snθeˆ = ω r O eˆr θ r ê v v = ω r 3
14 Vector Algebr Multple Products sclr trple product: ( b c). ( b c) = b c [ bc] 2. ( b c) = c b= b c (cyclc permutton) 3. ( b c) = c b= c b = b c (noncyclc permutton) 4. If three vectors, b, nd c re coplnr, then [bc] = 0 ( necessry nd suffcent condton. 5. [bc] represents the volume of prllelpped b c volume = b c c b 4
15 Vector Algebr Multple Products vector trple product: ( b c). Prentheses preserve the order of the operton nd must be retned,.e., ( b c) ( b) c 2. ( b c) s n the plne of b nd c. 3. ( b c) = b( c) c( b) 3 e 3 Vector Components nd Bss A bss n n-spce contns n lnerly ndependent bss vectors. {e, e 2, e 3 } represents bss. = e + e + e sclr component e e 3 e e 2 2 e2 vector component 5
16 Vector Components nd Bss Dul (Recprocl) Bss We cn construct nother bss {e, e 2, e 3 } from {e, e 2, e 3 } tht enbles us to obtn the sclr component of vector. Snce e e 2 s perpendculr to both e nd e 2, 3 e 3 s the only nonzero component from the dot product,.e., ( e e ) = e ( e e ) + e ( e e ) + e ( e e ) or = e3 ( e e2) ( e e ) = = e e ( e e ) , where, 3 e e2 e2 e3 2 e3 e e =, nd smlrly, e =, nd e =. [ eee ] [ eee ] [ eee ]
17 Vector Components nd Bss Now we sy {e, e 2, e 3 } s the dul or recprocl bss of {e, e 2, e 3 } (nd vce vers) snce, e e e e e e 2 3 = 2 = 3 =. Summton Conventon (Ensten or Index Notton) n = = e e For exmple, n 3-spce: = e + e + e sum over repeted (dummy) ndex 7
18 Vector Components nd Bss Kronecker Delt Wth the dul bss we cn now ntroduce symbol clled the Kronecker delt δ defned by, = e e = δ = 0 Snce vector s nvrnt to coordnte trnsformton, t cn be wrtten n terms of ny bss. In prtculr, we cn represent n rbtrry vector usng the dul bss, 8
19 Vector Components nd Bss = ( e ) e + ( e ) e + ( e ) e e e e e e2 e e e3 e 2 3 δ e δ2 e δ3 e 2 3 e 2e 3e = ( ) + ( ) + ( ) = ( ) + ( ) + ( ) = + + Note tht the sclr components for the dul bss re wrtten wth subscrpts. In generl, we defne, = e cogredent sclr components = e contrgredent sclr components Note tht trnsform lke e nd trnsform lke e snce n ddton to (2), we cn wrte, = ( e ) e + ( e ) e + ( e ) e e e2 e3 = + + (2) (3) 9
20 Vector Components nd Bss For n rbtrry vector wrtten n terms of n rbtrry bss, (2) nd (3) cn be wrtten s = ( e ) e nd ( e ) e (4) Exmples: Let = e nd b= b e, then b = b( e e) = bδ = b = b + b + b. A second-order tensor mght be wrtten s, σ = ee = ee + ee + 2 σ σ σ
21 Vector Components nd Bss Orthonorml Bss In generl, ech sclr component nd bss vector hs dfferent unts. For n orthonorml bss, the bss vectors re unt vectors (dmensonless) tht re mutully perpendculr. The sclr components then hve the unts of the vector,.e., unt + orthogonl = orthonorml In ths cse the cogredent nd contrgredent components re the sme, so [ eee 2 3] = e ( e2 e3) = e e= nd = ˆeˆ + ˆ2eˆ2 + ˆ 3eˆ3. Here, the ˆ re physcl components tht hve the unts of the vector. 2
22 Vector Components nd Bss Most engneerng pplctons requrng reference to specfc coordnte system employ n orthonorml system. The most commonly used re the rectngulr Crtesn, cylndrcl, nd sphercl coordnte systems. We wll lter exmne ech of these systems n consderble detl. Grm-Schmdt Orthonormlzton Purpose: Construct n orthonorml bss from n rbtrry set of lnerly ndependent vectors,.e., strtng wth the generl bss { e, e2,, e n } we wll construct the orthonorml bss { eˆ ˆ ˆ, e2,, e n }. 22
23 Vector Components nd Bss Why go through the trouble of cretng n orthonorml bss? Becuse, t s generlly eser to work wth n orthonorml bss. Procedure:. Gven {e, e 2, e 3 }, normlze e eˆ. e = e 2. Choose e 2 nd set e 2 = e2 αeˆ. e 2 e 2 αeˆ 23
24 Vector Components nd Bss 3. Requre, e e 2 e 2 e 2 αeˆ eˆ ( e αeˆ ) = eˆ e α eˆ = 0 α = eˆ e Normlze e e ( eˆ e ) eˆ e ˆ 2 e2 = = e e For the remnng vectors, employ the recurson relton, e = e ( eˆ e ) eˆ ( eˆ e ) eˆ ( eˆ e ) eˆ r+ r+ r+ 2 r+ 2 r r+ r 6. Fnlly, normlze e e ˆ 2 er+ = e r+ r+ 24
25 Vector Components nd Bss Note: Grhm-Schmdt orthonormlzton does not necessrly yeld rght-hnded system. For left-hnded system, n pproprte renumberng of the orthonorml bse vectors wll crete rght-hnded system. Permutton nd Kronecker Delt Symbols The Kronecker delt ws ntroduced erler where t s used n the dot product of bss nd ts dul bss,.e., = e e = δ =. 0 For n orthonorml system, the bss nd the dul bss re dentcl, eˆ ˆ e. The conventon s to choose the subscrpt (cogredent bss) so, 25
26 Vector Components nd Bss eˆ eˆ = δ = 0 = The cross product operton cn be represented n ndex notton by ntroducng the permutton symbol (ctully thrd-order tensor, often clled the permutton tensor or lterntng tensor): eˆ eˆ =ε eˆ k k for rght-hnded orthonorml system, ε k cyclc permutton of k = noncyclc permutton of 0 repeted ndex k 26
27 Vector Components nd Bss Index Notton Exmples Applctons of δ nd ε k : b = ( ˆ eˆ ) ( bˆ eˆ ) = b ˆ ˆ δ = b ˆ ˆδ + b ˆ ˆδ + b ˆ ˆδ b ˆ ˆδ + b ˆ ˆδ + b ˆ ˆδ b ˆ ˆδ + b ˆ ˆδ + b ˆ ˆδ = b ˆ ˆ + b ˆ ˆ + b ˆ ˆ = b ˆ ˆ 27
28 Vector Components nd Bss eˆ eˆ2 eˆ3 b= ˆ ˆ ˆ 2 3 bˆ ˆ ˆ b2 b3 = ( b ˆ ˆ b ˆ ˆ ) eˆ + ( b ˆ ˆ b ˆ ˆ ) eˆ + ( b ˆ ˆ b ˆ ˆ) eˆ = ˆ eˆ bˆ eˆ = ˆ bε ˆ eˆ k k The ε δ dentty: εkεmn = δ mδkn δ nδkm Note: Vector reltons re nvrnt. It s convenent to develop reltons nd do proofs n n orthonorml (usully rectngulr Crtesn) coordnte system becuse we cn employ δ nd ε k. 28
29 Vector Components nd Bss Exmple: Show tht ( b) ( c d) = ( c )( bd ) ( d )( bc ) ( b) ( c d) = ( c )( bd ) ( d )( bc ) = b ˆ ˆε eˆ cˆ dˆ ε eˆ k k m n mnp p = bc ˆ ˆ ˆ dˆ ε ε m n k mnp kp = bc ˆ ˆ ˆ dˆ ε ε m n k mnk δ = bc ˆ ˆ ˆ dˆ ( δ δ δ δ ) m n m n n m = cbd ˆˆ ˆˆ dbc ˆˆˆˆ = ( c )( bd ) ( d )( bc ) Q.E.D. Note: An orthonorml system mples tht the sclr components re the physcl components, we wll no longer employ the cret ^ bove the physcl components for n orthonorml system. 29
30 Vector Components nd Bss Bss, Dul, nd Components: A Grphcl Illustrton Recll from Eq. (4), = ( e ) e nd = ( e ) e. Then e = e cos( e, ) nd ( e ) e= e cos( e, ) orthogonl proecton of = cos(, e ) e n the drecton of e orthogonl proecton of = cos(, e ) e n the drecton of e 30
31 Vector Components nd Bss 2-D llustrton for bss {e, e 2 } nd dul bss {e, e 2 }: e e 2 e 2 e e 2 e e 2 e e = δ e e 2 = e + e 2 2 = e + e 2 2 e e e e e e 3
32 Vector Components nd Bss An mportnt thng to note n the fgure s tht vector does not chnge n orentton or mgntude when represented n ether coordnte system t s nvrnt. Note, however, tht n generl, both the sclr nd vector components re dfferent for dfferent coordnte systems. Specfcton of Vector Gven vector n terms of generl bss {e,e 2, e 3 } 3 e 3 γ e e 2 cos α =, cos β = e e e 3 cosγ = e 2 3 e α e 2 β 2 32
33 Vector Components nd Bss Assocted wth the bss {e,e 2,e 3 } one my wrte n ordered trple, e.g., (, 2, 3 ), (,β,γ), etc. The numbers re ordered n tht they re plced n the order of the bse vector to whch they re ssocted nd they specfy the mgntude nd drecton of. Ths leds to n nlytcl defnton of vector s: An ordered set of numbers tht obey certn specfc vector rules. Our tsk now s to develop these rules. 33
34 Vector Components nd Bss Invrnce & Trnsformton Lws We stted tht vector s nvrnt under coordnte trnsformton. Ths mens tht we my represent ny vector n terms of the bss of ny coordnte system. We strted wth gven generl covrnt bss denoted s { e, e2, e3}. We then ntroduced method of constructng the dul (recprocl) bss. Agn, the purpose of the dul bss thus fr s to enble smple recprocl sclr (dot) product operton. In engneerng pplctons, we often hve need to trnsform from one coordnte system to nother; for exmple n n strodynmcs pplcton, we mght trnsform from coordnte system fxed to n orbtng stellte to geocentrc (Erth-centered) system. In flud mechncs we mght trnsform from body-ft coordnte system to rectngulr Crtesn computtonl system 34
35 Vector Components nd Bss We now develop the generl rules for such coordnte trnsformton. Introduce new cogredent bss ssocted wth some new coordnte system, nd ts contrgredent dul { e, e, e } { e, e, e } As explned erler, we know gven vector cn be represented n terms of ech bss nd ts dul, e.g., = e = e = e = e Now usng ths relton for the contrvrnt components nd the smlr relton for the covrnt components, we hve for the brred system, 35
36 Vector Components nd Bss = ( e ) e = ( e e ) s s s s s = ( e ) e = ( e e ) = ( e ) e = ( e e ) s s s = ( e ) e = ( e e ) s s Once gn use Eqs. (2) nd (3), = ( e ) e nd = ( e) e to wrte the trnsformton reltons for the bss vectors nd duls. Replcng the rbtrry vector wth the specfc bss vectors from the brred system gves the brred bss vectors n terms of the unbrred bss vectors, e = ( e e ) e s s s = ( e e ) e e = ( e e ) e s s = ( e e ) e s 36
37 Vector Components nd Bss Now defne the dot products wth the ssocted trnsformton lws: Cogredent lw: Contrgredent lw: Mxed lws: e e = e nd = s s s s = b e nd = b s s s s es = cse nd s = cs s s s s e = d e nd = d where b e e c e e s s s s e e d e e s s s s 37
38 Vector Components nd Bss Be sure to recognze tht the choce of letter for the dummy vrbles s rbtrry nd were mde for convenence. If both systems re orthonorml, then eˆ = ( eˆ eˆ ) eˆ =γ eˆ where γ = cos( eˆ, eˆ ) The, etc. re not drecton cosnes snce s s s e es nd cos( e, es) = e e s Before contnung, we now vst the elements of lner lgebr 38
Vectors and Tensors. R. Shankar Subramanian. R. Aris, Vectors, Tensors, and the Equations of Fluid Mechanics, Prentice Hall (1962).
005 Vectors nd Tensors R. Shnkr Subrmnn Good Sources R. rs, Vectors, Tensors, nd the Equtons of Flud Mechncs, Prentce Hll (96). nd ppendces n () R. B. Brd, W. E. Stewrt, nd E. N. Lghtfoot, Trnsport Phenomen,
More informationVECTORS AND TENSORS IV.1.1. INTRODUCTION
Chpter IV Vector nd Tensor Anlyss IV. Vectors nd Tensors Septemer 5, 08 05 IV. VECTORS AND TENSORS IV... INTRODUCTION In mthemtcs nd mechncs, we he to operte wth qunttes whch requre dfferent mthemtcl ojects
More informationReview of linear algebra. Nuno Vasconcelos UCSD
Revew of lner lgebr Nuno Vsconcelos UCSD Vector spces Defnton: vector spce s set H where ddton nd sclr multplcton re defned nd stsf: ) +( + ) (+ )+ 5) λ H 2) + + H 6) 3) H, + 7) λ(λ ) (λλ ) 4) H, - + 8)
More informationLecture 4: Piecewise Cubic Interpolation
Lecture notes on Vrtonl nd Approxmte Methods n Appled Mthemtcs - A Perce UBC Lecture 4: Pecewse Cubc Interpolton Compled 6 August 7 In ths lecture we consder pecewse cubc nterpolton n whch cubc polynoml
More informationESCI 342 Atmospheric Dynamics I Lesson 1 Vectors and Vector Calculus
ESI 34 tmospherc Dnmcs I Lesson 1 Vectors nd Vector lculus Reference: Schum s Outlne Seres: Mthemtcl Hndbook of Formuls nd Tbles Suggested Redng: Mrtn Secton 1 OORDINTE SYSTEMS n orthonorml coordnte sstem
More informationRank One Update And the Google Matrix by Al Bernstein Signal Science, LLC
Introducton Rnk One Updte And the Google Mtrx y Al Bernsten Sgnl Scence, LLC www.sgnlscence.net here re two dfferent wys to perform mtrx multplctons. he frst uses dot product formulton nd the second uses
More information4. Eccentric axial loading, cross-section core
. Eccentrc xl lodng, cross-secton core Introducton We re strtng to consder more generl cse when the xl force nd bxl bendng ct smultneousl n the cross-secton of the br. B vrtue of Snt-Vennt s prncple we
More informationAnnouncements. Image Formation: Outline. The course. Image Formation and Cameras (cont.)
nnouncements Imge Formton nd Cmers (cont.) ssgnment : Cmer & Lenses, gd Trnsformtons, nd Homogrph wll be posted lter tod. CSE 5 Lecture 5 CS5, Fll CS5, Fll CS5, Fll The course rt : The phscs of mgng rt
More informationChapter 2 Introduction to Algebra. Dr. Chih-Peng Li ( 李 )
Chpter Introducton to Algebr Dr. Chh-Peng L 李 Outlne Groups Felds Bnry Feld Arthetc Constructon of Glos Feld Bsc Propertes of Glos Feld Coputtons Usng Glos Feld Arthetc Vector Spces Groups 3 Let G be set
More informationPhysics for Scientists and Engineers I
Phscs for Scentsts nd Engneers I PHY 48, Secton 4 Dr. Betr Roldán Cuen Unverst of Centrl Flord, Phscs Deprtment, Orlndo, FL Chpter - Introducton I. Generl II. Interntonl Sstem of Unts III. Converson of
More informationINTRODUCTION TO COMPLEX NUMBERS
INTRODUCTION TO COMPLEX NUMBERS The numers -4, -3, -, -1, 0, 1,, 3, 4 represent the negtve nd postve rel numers termed ntegers. As one frst lerns n mddle school they cn e thought of s unt dstnce spced
More informationPrinciple Component Analysis
Prncple Component Anlyss Jng Go SUNY Bufflo Why Dmensonlty Reducton? We hve too mny dmensons o reson bout or obtn nsghts from o vsulze oo much nose n the dt Need to reduce them to smller set of fctors
More informationChapter 2. Vectors. 2.1 Vectors Scalars and Vectors
Chpter 2 Vectors 2.1 Vectors 2.1.1 Sclrs nd Vectors A vector is quntity hving both mgnitude nd direction. Emples of vector quntities re velocity, force nd position. One cn represent vector in n-dimensionl
More informationEngineering Tensors. Friday November 16, h30 -Muddy Charles. A BEH430 review session by Thomas Gervais.
ngneerng Tensors References: BH4 reew sesson b Thoms Gers tgers@mt.ed Long, RR, Mechncs of Solds nd lds, Prentce-Hll, 96, pp - Deen, WD, nlss of trnsport phenomen, Oford, 998, p. 55-56 Goodbod, M, Crtesn
More informationMath 497C Sep 17, Curves and Surfaces Fall 2004, PSU
Mth 497C Sep 17, 004 1 Curves nd Surfces Fll 004, PSU Lecture Notes 3 1.8 The generl defnton of curvture; Fox-Mlnor s Theorem Let α: [, b] R n be curve nd P = {t 0,...,t n } be prtton of [, b], then the
More informationUNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS. M.Sc. in Economics MICROECONOMIC THEORY I. Problem Set II
Mcroeconomc Theory I UNIVERSITY OF IOANNINA DEPARTMENT OF ECONOMICS MSc n Economcs MICROECONOMIC THEORY I Techng: A Lptns (Note: The number of ndctes exercse s dffculty level) ()True or flse? If V( y )
More informationThe Number of Rows which Equal Certain Row
Interntonl Journl of Algebr, Vol 5, 011, no 30, 1481-1488 he Number of Rows whch Equl Certn Row Ahmd Hbl Deprtment of mthemtcs Fcult of Scences Dmscus unverst Dmscus, Sr hblhmd1@gmlcom Abstrct Let be X
More informationJens Siebel (University of Applied Sciences Kaiserslautern) An Interactive Introduction to Complex Numbers
Jens Sebel (Unversty of Appled Scences Kserslutern) An Interctve Introducton to Complex Numbers 1. Introducton We know tht some polynoml equtons do not hve ny solutons on R/. Exmple 1.1: Solve x + 1= for
More information7.2 Volume. A cross section is the shape we get when cutting straight through an object.
7. Volume Let s revew the volume of smple sold, cylnder frst. Cylnder s volume=se re heght. As llustrted n Fgure (). Fgure ( nd (c) re specl cylnders. Fgure () s rght crculr cylnder. Fgure (c) s ox. A
More informationChapter Newton-Raphson Method of Solving a Nonlinear Equation
Chpter.4 Newton-Rphson Method of Solvng Nonlner Equton After redng ths chpter, you should be ble to:. derve the Newton-Rphson method formul,. develop the lgorthm of the Newton-Rphson method,. use the Newton-Rphson
More informationVECTORS VECTORS VECTORS VECTORS. 2. Vector Representation. 1. Definition. 3. Types of Vectors. 5. Vector Operations I. 4. Equal and Opposite Vectors
1. Defnton A vetor s n entt tht m represent phsl quntt tht hs mgntude nd dreton s opposed to slr tht ls dreton.. Vetor Representton A vetor n e represented grphll n rrow. The length of the rrow s the mgntude
More informationTorsion, Thermal Effects and Indeterminacy
ENDS Note Set 7 F007bn orson, herml Effects nd Indetermncy Deformton n orsonlly Loded Members Ax-symmetrc cross sectons subjected to xl moment or torque wll remn plne nd undstorted. At secton, nternl torque
More informationLecture 36. Finite Element Methods
CE 60: Numercl Methods Lecture 36 Fnte Element Methods Course Coordntor: Dr. Suresh A. Krth, Assocte Professor, Deprtment of Cvl Engneerng, IIT Guwht. In the lst clss, we dscussed on the ppromte methods
More informationSymmetries and Conservation Laws in Classical Mechanics
Symmetres nd Conservton Lws n Clsscl Mechncs Wllm Andrew Astll September 30, 0 Abstrct Ths pper wll provde detled explorton nd explnton of symmetres n clsscl mechncs nd how these symmetres relte to conservton
More information2.12 Pull Back, Push Forward and Lie Time Derivatives
Secton 2.2 2.2 Pull Bck Push Forwrd nd e me Dertes hs secton s n the mn concerned wth the follown ssue: n oserer ttched to fxed sy Crtesn coordnte system wll see mterl moe nd deform oer tme nd wll osere
More informationAnalytically, vectors will be represented by lowercase bold-face Latin letters, e.g. a, r, q.
1.1 Vector Alger 1.1.1 Sclrs A physicl quntity which is completely descried y single rel numer is clled sclr. Physiclly, it is something which hs mgnitude, nd is completely descried y this mgnitude. Exmples
More informationChapter Newton-Raphson Method of Solving a Nonlinear Equation
Chpter 0.04 Newton-Rphson Method o Solvng Nonlner Equton Ater redng ths chpter, you should be ble to:. derve the Newton-Rphson method ormul,. develop the lgorthm o the Newton-Rphson method,. use the Newton-Rphson
More informationCOMPLEX NUMBERS INDEX
COMPLEX NUMBERS INDEX. The hstory of the complex numers;. The mgnry unt I ;. The Algerc form;. The Guss plne; 5. The trgonometrc form;. The exponentl form; 7. The pplctons of the complex numers. School
More informationp (i.e., the set of all nonnegative real numbers). Similarly, Z will denote the set of all
th Prelmnry E 689 Lecture Notes by B. Yo 0. Prelmnry Notton themtcl Prelmnres It s ssumed tht the reder s fmlr wth the noton of set nd ts elementry oertons, nd wth some bsc logc oertors, e.g. x A : x s
More informationMultiple view geometry
EECS 442 Computer vson Multple vew geometry Perspectve Structure from Moton - Perspectve structure from moton prolem - mgutes - lgerc methods - Fctorzton methods - Bundle djustment - Self-clrton Redng:
More informationApplied Statistics Qualifier Examination
Appled Sttstcs Qulfer Exmnton Qul_june_8 Fll 8 Instructons: () The exmnton contns 4 Questons. You re to nswer 3 out of 4 of them. () You my use ny books nd clss notes tht you mght fnd helpful n solvng
More informationEinstein Summation Convention
Ensten Suaton Conventon Ths s a ethod to wrte equaton nvovng severa suatons n a uncuttered for Exape:. δ where δ or 0 Suaton runs over to snce we are denson No ndces appear ore than two tes n the equaton
More informationFrom Biot-Savart Law to Divergence of B (1)
From Bot-Savart Law to Dvergence of B (1) Let s prove that Bot-Savart gves us B (r ) = 0 for an arbtrary current densty. Frst take the dvergence of both sdes of Bot-Savart. The dervatve s wth respect to
More informationDefinition of Tracking
Trckng Defnton of Trckng Trckng: Generte some conclusons bout the moton of the scene, objects, or the cmer, gven sequence of mges. Knowng ths moton, predct where thngs re gong to project n the net mge,
More informationRemember: Project Proposals are due April 11.
Bonformtcs ecture Notes Announcements Remember: Project Proposls re due Aprl. Clss 22 Aprl 4, 2002 A. Hdden Mrov Models. Defntons Emple - Consder the emple we tled bout n clss lst tme wth the cons. However,
More informationThe Schur-Cohn Algorithm
Modelng, Estmton nd Otml Flterng n Sgnl Processng Mohmed Njm Coyrght 8, ISTE Ltd. Aendx F The Schur-Cohn Algorthm In ths endx, our m s to resent the Schur-Cohn lgorthm [] whch s often used s crteron for
More informationTensor Analysis. For orthogonal curvilinear coordinates, ˆ ˆ (98) Expanding the derivative, we have, ˆ. h q. . h q h q
For orthogonal curvlnear coordnates, eˆ grad a a= ( aˆ ˆ e). h q (98) Expandng the dervatve, we have, eˆ aˆ ˆ e a= ˆ ˆ a h e + q q 1 aˆ ˆ ˆ a e = ee ˆˆ ˆ + e. h q h q Now expandng eˆ / q (some of the detals
More informationProof that if Voting is Perfect in One Dimension, then the First. Eigenvector Extracted from the Double-Centered Transformed
Proof tht f Votng s Perfect n One Dmenson, then the Frst Egenvector Extrcted from the Doule-Centered Trnsformed Agreement Score Mtrx hs the Sme Rn Orderng s the True Dt Keth T Poole Unversty of Houston
More informationSo far: simple (planar) geometries
Physcs 06 ecture 5 Torque and Angular Momentum as Vectors SJ 7thEd.: Chap. to 3 Rotatonal quanttes as vectors Cross product Torque epressed as a vector Angular momentum defned Angular momentum as a vector
More informationFUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS
Dol Bgyoko (0 FUNDAMENTALS ON ALGEBRA MATRICES AND DETERMINANTS Introducton Expressons of the form P(x o + x + x + + n x n re clled polynomls The coeffcents o,, n re ndependent of x nd the exponents 0,,,
More informationψ ij has the eigenvalue
Moller Plesset Perturbton Theory In Moller-Plesset (MP) perturbton theory one tes the unperturbed Hmltonn for n tom or molecule s the sum of the one prtcle Foc opertors H F() where the egenfunctons of
More informationIntroduction to Numerical Integration Part II
Introducton to umercl Integrton Prt II CS 75/Mth 75 Brn T. Smth, UM, CS Dept. Sprng, 998 4/9/998 qud_ Intro to Gussn Qudrture s eore, the generl tretment chnges the ntegrton prolem to ndng the ntegrl w
More informationx=0 x=0 Positive Negative Positions Positions x=0 Positive Negative Positions Positions
Knemtc Quntte Lner Moton Phyc 101 Eyre Tme Intnt t Fundmentl Tme Interl Defned Poton x Fundmentl Dplcement Defned Aerge Velocty g Defned Aerge Accelerton g Defned Knemtc Quntte Scler: Mgntude Tme Intnt,
More informationCENTROID (AĞIRLIK MERKEZİ )
CENTOD (ĞLK MEKEZİ ) centrod s geometrcl concept rsng from prllel forces. Tus, onl prllel forces possess centrod. Centrod s tougt of s te pont were te wole wegt of pscl od or sstem of prtcles s lumped.
More informationReactor Control Division BARC Mumbai India
A Study of Frctonl Schrödnger Equton-composed v Jumre frctonl dervtve Joydp Bnerjee 1, Uttm Ghosh, Susmt Srkr b nd Shntnu Ds 3 Uttr Bunch Kjl Hr Prmry school, Ful, Nd, West Bengl, Ind eml- joydp1955bnerjee@gml.com
More informationDEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS
3 DEFINITION OF ASSOCIATIVE OR DIRECT PRODUCT AND ROTATION OF VECTORS This chpter summrizes few properties of Cli ord Algebr nd describe its usefulness in e ecting vector rottions. 3.1 De nition of Associtive
More informationStudy of Trapezoidal Fuzzy Linear System of Equations S. M. Bargir 1, *, M. S. Bapat 2, J. D. Yadav 3 1
mercn Interntonl Journl of Reserch n cence Technology Engneerng & Mthemtcs vlble onlne t http://wwwsrnet IN (Prnt: 38-349 IN (Onlne: 38-3580 IN (CD-ROM: 38-369 IJRTEM s refereed ndexed peer-revewed multdscplnry
More informationTwo Coefficients of the Dyson Product
Two Coeffcents of the Dyson Product rxv:07.460v mth.co 7 Nov 007 Lun Lv, Guoce Xn, nd Yue Zhou 3,,3 Center for Combntorcs, LPMC TJKLC Nnk Unversty, Tnjn 30007, P.R. Chn lvlun@cfc.nnk.edu.cn gn@nnk.edu.cn
More informationCOMPLEX NUMBERS AND QUADRATIC EQUATIONS
COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not
More informationMany-Body Calculations of the Isotope Shift
Mny-Body Clcultons of the Isotope Shft W. R. Johnson Mrch 11, 1 1 Introducton Atomc energy levels re commonly evluted ssumng tht the nucler mss s nfnte. In ths report, we consder correctons to tomc levels
More informationGAUSS ELIMINATION. Consider the following system of algebraic linear equations
Numercl Anlyss for Engneers Germn Jordnn Unversty GAUSS ELIMINATION Consder the followng system of lgebrc lner equtons To solve the bove system usng clsscl methods, equton () s subtrcted from equton ()
More information( ) ( )()4 x 10-6 C) ( ) = 3.6 N ( ) = "0.9 N. ( )ˆ i ' ( ) 2 ( ) 2. q 1 = 4 µc q 2 = -4 µc q 3 = 4 µc. q 1 q 2 q 3
3 Emple : Three chrges re fed long strght lne s shown n the fgure boe wth 4 µc, -4 µc, nd 3 4 µc. The dstnce between nd s. m nd the dstnce between nd 3 s lso. m. Fnd the net force on ech chrge due to the
More informationMobility Determination of Displacement Set Fully Parallel Platforms.
12th IFToMM World Congress, Besnçon, June 18-21, 2007 Moblty Determnton of Dsplcement Set Fully Prllel Pltforms. José M. Rco Λ, J. Jesús Cervntes y, Jun Roch z Gerrdo I. Pérez x Alendro Tdeo. FIMEE, Unversdd
More information( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that
Arc Length of Curves in Three Dimensionl Spce If the vector function r(t) f(t) i + g(t) j + h(t) k trces out the curve C s t vries, we cn mesure distnces long C using formul nerly identicl to one tht we
More informationCAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT. PART IA (First Year) Paper 4 : Mathematical Methods
Engneerng Prt I 009-0, Pper 4, Mthemtl Methods, Fst Course, J.B.Young CMBRIDGE UNIVERSITY ENGINEERING DEPRTMENT PRT I (Frst Yer) 009-00 Pper 4 : Mthemtl Methods Leture ourse : Fst Mths Course, Letures
More informationFINITE NEUTROSOPHIC COMPLEX NUMBERS. W. B. Vasantha Kandasamy Florentin Smarandache
INITE NEUTROSOPHIC COMPLEX NUMBERS W. B. Vsnth Kndsmy lorentn Smrndche ZIP PUBLISHING Oho 11 Ths book cn be ordered from: Zp Publshng 1313 Chespeke Ave. Columbus, Oho 31, USA Toll ree: (61) 85-71 E-ml:
More informationDemand. Demand and Comparative Statics. Graphically. Marshallian Demand. ECON 370: Microeconomic Theory Summer 2004 Rice University Stanley Gilbert
Demnd Demnd nd Comrtve Sttcs ECON 370: Mcroeconomc Theory Summer 004 Rce Unversty Stnley Glbert Usng the tools we hve develoed u to ths ont, we cn now determne demnd for n ndvdul consumer We seek demnd
More informationSCALARS AND VECTORS All physical quantities in engineering mechanics are measured using either scalars or vectors.
SCALARS AND ECTORS All phscal uanttes n engneerng mechancs are measured usng ether scalars or vectors. Scalar. A scalar s an postve or negatve phscal uantt that can be completel specfed b ts magntude.
More informationPyramid Algorithms for Barycentric Rational Interpolation
Pyrmd Algorthms for Brycentrc Rtonl Interpolton K Hormnn Scott Schefer Astrct We present new perspectve on the Floter Hormnn nterpolnt. Ths nterpolnt s rtonl of degree (n, d), reproduces polynomls of degree
More informationHaddow s Experiment:
schemtc drwng of Hddow's expermentl set-up movng pston non-contctng moton sensor bems of sprng steel poston vres to djust frequences blocks of sold steel shker Hddow s Experment: terr frm Theoretcl nd
More informationPhysics 121 Sample Common Exam 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7. Instructions:
Physcs 121 Smple Common Exm 2 Rev2 NOTE: ANSWERS ARE ON PAGE 7 Nme (Prnt): 4 Dgt ID: Secton: Instructons: Answer ll 27 multple choce questons. You my need to do some clculton. Answer ech queston on the
More information6 Roots of Equations: Open Methods
HK Km Slghtly modfed 3//9, /8/6 Frstly wrtten t Mrch 5 6 Roots of Equtons: Open Methods Smple Fed-Pont Iterton Newton-Rphson Secnt Methods MATLAB Functon: fzero Polynomls Cse Study: Ppe Frcton Brcketng
More informationLAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION IN A TWO-LAYERED SLAB
Journl of Appled Mthemtcs nd Computtonl Mechncs 5, 4(4), 5-3 www.mcm.pcz.pl p-issn 99-9965 DOI:.75/jmcm.5.4. e-issn 353-588 LAPLACE TRANSFORM SOLUTION OF THE PROBLEM OF TIME-FRACTIONAL HEAT CONDUCTION
More informationTHE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR
REVUE D ANALYSE NUMÉRIQUE ET DE THÉORIE DE L APPROXIMATION Tome 32, N o 1, 2003, pp 11 20 THE COMBINED SHEPARD ABEL GONCHAROV UNIVARIATE OPERATOR TEODORA CĂTINAŞ Abstrct We extend the Sheprd opertor by
More informationQuiz: Experimental Physics Lab-I
Mxmum Mrks: 18 Totl tme llowed: 35 mn Quz: Expermentl Physcs Lb-I Nme: Roll no: Attempt ll questons. 1. In n experment, bll of mss 100 g s dropped from heght of 65 cm nto the snd contner, the mpct s clled
More informationPHYS 2421 Fields and Waves
PHYS 242 Felds nd Wves Instucto: Joge A. López Offce: PSCI 29 A, Phone: 747-7528 Textook: Unvesty Physcs e, Young nd Feedmn 23. Electc potentl enegy 23.2 Electc potentl 23.3 Clcultng electc potentl 23.4
More informationWork and Energy (Work Done by a Varying Force)
Lecture 1 Chpter 7 Physcs I 3.5.14 ork nd Energy (ork Done y Vryng Force) Course weste: http://fculty.uml.edu/andry_dnylov/techng/physcsi Lecture Cpture: http://echo36.uml.edu/dnylov13/physcs1fll.html
More informationDYNAMIC PROPAGATION OF A WEAK-DISCONTINUOUS INTERFACE CRACK IN FUNCTIONALLY GRADED LAYERS UNDER ANTI-PLANE SHEAR
8 TH INTERNTIONL CONFERENCE ON COMPOSITE MTERILS DYNMIC PROPGTION OF WEK-DISCONTINUOUS INTERFCE CRCK IN FUNCTIONLLY GRDED LYERS UNDER NTI-PLNE SHER J.W. Sn *, Y.S. Lee, S.C. Km, I.H. Hwng 3 Subsystem Deprtment,
More informationPoint Lattices: Bravais Lattices
Physics for Solid Stte Applictions Februry 18, 2004 Lecture 7: Periodic Structures (cont.) Outline Review 2D & 3D Periodic Crystl Structures: Mthemtics X-Ry Diffrction: Observing Reciprocl Spce Point Lttices:
More informationLesson 2. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER)
Lesson 2 Thermomechncl Mesurements for Energy Systems (MEN) Mesurements for Mechncl Systems nd Producton (MME) 1 A.Y. 2015-16 Zccr (no ) Del Prete A U The property A s clled: «mesurnd» the reference property
More informationAn Introduction to Support Vector Machines
An Introducton to Support Vector Mchnes Wht s good Decson Boundry? Consder two-clss, lnerly seprble clssfcton problem Clss How to fnd the lne (or hyperplne n n-dmensons, n>)? Any de? Clss Per Lug Mrtell
More informationMathematical Preparations
1 Introducton Mathematcal Preparatons The theory of relatvty was developed to explan experments whch studed the propagaton of electromagnetc radaton n movng coordnate systems. Wthn expermental error the
More informationTHREE-DIMENSIONAL KINEMATICS OF RIGID BODIES
THREE-DIMENSIONAL KINEMATICS OF RIGID BODIES 1. TRANSLATION Figure shows rigid body trnslting in three-dimensionl spce. Any two points in the body, such s A nd B, will move long prllel stright lines if
More informationCOMPLEX NUMBER & QUADRATIC EQUATION
MCQ COMPLEX NUMBER & QUADRATIC EQUATION Syllus : Comple numers s ordered prs of rels, Representton of comple numers n the form + nd ther representton n plne, Argnd dgrm, lger of comple numers, modulus
More informationStrong Gravity and the BKL Conjecture
Introducton Strong Grvty nd the BKL Conecture Dvd Slon Penn Stte October 16, 2007 Dvd Slon Strong Grvty nd the BKL Conecture Introducton Outlne The BKL Conecture Ashtekr Vrbles Ksner Sngulrty 1 Introducton
More informationZbus 1.0 Introduction The Zbus is the inverse of the Ybus, i.e., (1) Since we know that
us. Introducton he us s the nverse of the us,.e., () Snce we now tht nd therefore then I V () V I () V I (4) So us reltes the nodl current njectons to the nodl voltges, s seen n (4). In developng the power
More information6.6 The Marquardt Algorithm
6.6 The Mqudt Algothm lmttons of the gdent nd Tylo expnson methods ecstng the Tylo expnson n tems of ch-sque devtves ecstng the gdent sech nto n tetve mtx fomlsm Mqudt's lgothm utomtclly combnes the gdent
More informationLecture notes. Fundamental inequalities: techniques and applications
Lecture notes Fundmentl nequltes: technques nd pplctons Mnh Hong Duong Mthemtcs Insttute, Unversty of Wrwck Eml: m.h.duong@wrwck.c.uk Jnury 4, 07 Abstrct Inequltes re ubqutous n Mthemtcs (nd n rel lfe.
More informationA Tri-Valued Belief Network Model for Information Retrieval
December 200 A Tr-Vlued Belef Networ Model for Informton Retrevl Fernndo Ds-Neves Computer Scence Dept. Vrgn Polytechnc Insttute nd Stte Unversty Blcsburg, VA 24060. IR models t Combnng Evdence Grphcl
More informationEffects of polarization on the reflected wave
Lecture Notes. L Ros PPLIED OPTICS Effects of polrzton on the reflected wve Ref: The Feynmn Lectures on Physcs, Vol-I, Secton 33-6 Plne of ncdence Z Plne of nterfce Fg. 1 Y Y r 1 Glss r 1 Glss Fg. Reflecton
More information4. More general extremum principles and thermodynamic potentials
4. More generl etremum prncples nd thermodynmc potentls We hve seen tht mn{u(s, X )} nd m{s(u, X)} mply one nother. Under certn condtons, these prncples re very convenent. For emple, ds = 1 T du T dv +
More informationVariable time amplitude amplification and quantum algorithms for linear algebra. Andris Ambainis University of Latvia
Vrble tme mpltude mplfcton nd quntum lgorthms for lner lgebr Andrs Ambns Unversty of Ltv Tlk outlne. ew verson of mpltude mplfcton;. Quntum lgorthm for testng f A s sngulr; 3. Quntum lgorthm for solvng
More informationMATRICES AND VECTORS SPACE
MATRICES AND VECTORS SPACE MATRICES AND MATRIX OPERATIONS SYSTEM OF LINEAR EQUATIONS DETERMINANTS VECTORS IN -SPACE AND -SPACE GENERAL VECTOR SPACES INNER PRODUCT SPACES EIGENVALUES, EIGENVECTORS LINEAR
More informationSection 8.3 Polar Form of Complex Numbers
80 Chapter 8 Secton 8 Polar Form of Complex Numbers From prevous classes, you may have encountered magnary numbers the square roots of negatve numbers and, more generally, complex numbers whch are the
More informationChapter 4 Contravariance, Covariance, and Spacetime Diagrams
Chpter 4 Contrvrince, Covrince, nd Spcetime Digrms 4. The Components of Vector in Skewed Coordintes We hve seen in Chpter 3; figure 3.9, tht in order to show inertil motion tht is consistent with the Lorentz
More information8. INVERSE Z-TRANSFORM
8. INVERSE Z-TRANSFORM The proce by whch Z-trnform of tme ere, nmely X(), returned to the tme domn clled the nvere Z-trnform. The nvere Z-trnform defned by: Computer tudy Z X M-fle trn.m ued to fnd nvere
More informationMATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1
MATH34032: Green s Functions, Integrl Equtions nd the Clculus of Vritions 1 Section 1 Function spces nd opertors Here we gives some brief detils nd definitions, prticulrly relting to opertors. For further
More informationperturbation theory and its applications
Second-order order guge-nvrnt perturton theory nd ts pplctons (Short revew of my poster presentton) Some detls cn e seen n my poster Kouj Nkmur (Grd. Unv. Adv. Stud. (NAOJ)) References : K.N. Prog. Theor.
More informationName: SID: Discussion Session:
Nme: SID: Dscusson Sesson: hemcl Engneerng hermodynmcs -- Fll 008 uesdy, Octoer, 008 Merm I - 70 mnutes 00 onts otl losed Book nd Notes (5 ponts). onsder n del gs wth constnt het cpctes. Indcte whether
More informationA Theoretical Study on the Rank of the Integral Operators for Large- Scale Electrodynamic Analysis
Purdue Unversty Purdue e-pubs ECE Techncl Reports Electrcl nd Computer Engneerng -22-2 A Theoretcl Study on the Rnk of the Integrl Opertors for Lrge- Scle Electrodynmc Anlyss Wenwen Ch Purdue Unversty,
More informationSection 14.3 Arc Length and Curvature
Section 4.3 Arc Length nd Curvture Clculus on Curves in Spce In this section, we ly the foundtions for describing the movement of n object in spce.. Vector Function Bsics In Clc, formul for rc length in
More informationANALOG CIRCUIT SIMULATION BY STATE VARIABLE METHOD
U.P.B. Sc. Bull., Seres C, Vol. 77, Iss., 25 ISSN 226-5 ANAOG CIRCUIT SIMUATION BY STATE VARIABE METHOD Rodc VOICUESCU, Mh IORDACHE 22 An nlog crcut smulton method, bsed on the stte euton pproch, s presented.
More informationSUMMER KNOWHOW STUDY AND LEARNING CENTRE
SUMMER KNOWHOW STUDY AND LEARNING CENTRE Indices & Logrithms 2 Contents Indices.2 Frctionl Indices.4 Logrithms 6 Exponentil equtions. Simplifying Surds 13 Opertions on Surds..16 Scientific Nottion..18
More informationχ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body
Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown
More informationMechanics of Cosserat media: I. non-relativistic statics
Mechncs of Cossert med: I. non-reltvstc sttcs D. H. Delphench Ketterng, OH 45440 USA Abstrct. The Cossert equtons for equlbrum re derved by strtng from the cton of the group of smooth functons wth vlues
More informationLectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix
Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could
More informationNUMERICAL MODELLING OF A CILIUM USING AN INTEGRAL EQUATION
NUEICAL ODELLING OF A CILIU USING AN INTEGAL EQUATION IHAI EBICAN, DANIEL IOAN Key words: Cl, Numercl nlyss, Electromgnetc feld, gnetton. The pper presents fst nd ccurte method to model the mgnetc behvour
More informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
More informationFitting a Polynomial to Heat Capacity as a Function of Temperature for Ag. Mathematical Background Document
Fttng Polynol to Het Cpcty s Functon of Teperture for Ag. thetcl Bckground Docuent by Theres Jul Zelnsk Deprtent of Chestry, edcl Technology, nd Physcs onouth Unversty West ong Brnch, J 7764-898 tzelns@onouth.edu
More informationResearch Article On the Upper Bounds of Eigenvalues for a Class of Systems of Ordinary Differential Equations with Higher Order
Hndw Publshng Corporton Interntonl Journl of Dfferentl Equtons Volume 0, Artcle ID 7703, pges do:055/0/7703 Reserch Artcle On the Upper Bounds of Egenvlues for Clss of Systems of Ordnry Dfferentl Equtons
More information