Ch.0. Group Work Units. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
|
|
- Rodney Sullivan
- 5 years ago
- Views:
Transcription
1 Ch.0. Group Work Unts Contnuum Mechancs Course (MMC) - ETSECCPB - UPC
2 Unt 1 2 Prove that the followng expresson holds true: ee 6 k k
3 Unt 1 - Soluton 3 ee e k e 1 + e k e 2 + e k e 3 + k k e121e121 + e122e122 + e123e e131e131 + e132e132 + e133e e211e211 + e212e212 + e213e e221e221 + e222e222 + e223e e231e231 + e232e232 + e233e e311e311 + e312e312 + e313e e e + e e + e e e e + e e + e e
4 Unt 2 4 Prove the followng property of the tensor product s true: u ( v w) ( u v) w
5 Unt 2 - Soluton 5 u ( v w) ( u v) w c 2 nd order vector tensor (matrx) 1 st order tensor (vector) scalar vector 1 st order tensor (vector) ( ) [ ] ( ) ( vw ) c u v w u v w u u vw k k k k k k-component of vector c ( u v) w v [ w] c u u vw k k k k k-component of vector c
6 Unt 3 Prove de followng propertes of the scalar or dot product uv vu u0 0 ( α β ) α( ) β( ) u v+ w u v + u w uu > 0 uu 0 u 0 u 0 u v 0, u 0, v 0 u v Lnear operator 6
7 7 Unt 3 - Soluton
8 Unt 4 8 When does the relaton nt Tn hold true?
9 Unt 4 - Soluton 9 n T T n c vector 2 nd order tensor vector c nt c Tn c nt k k c k Tkn nt k c k c k f Tk Tk
10 Unt 4 - Soluton 10 nt Tn COMPACT NOTATION nt k Tkn k { 1, 2, 3} INDEX NOTATION T T [ n] [ T] [ T][ n] T c c c MATRIX NOTATION
11 Unt 4 - Soluton 11 T T [ n] [ T] [ T][ n] T c c c MATRIX NOTATION T11 T12 T13 T11 T12 T13 n1 n1 n2 n 3 T21 T22 T 23 T21 T22 T 23 n 2 T T T T T T n [,, ] c1 c1 c2 c3 c 2 c 3 [ ]
12 Unt 5 12 Prove that: ( T ) A: B Tr A B A B Tr ( AB )
13 Unt 5 - Soluton 13 ( T ) T T A B A B A [ B] AB AB c Tr k kk k k k k c ( AB) [ AB] [ A] [ B] AB AB Tr kk k k k k k
14 Unt 6 Prove the followng propertes of the open product: ( u v) ( v u) ( u v) w u ( v w) u( v w) ( v w) u u ( αv+ βw) αu v+ βu w u ( v w) ( u v) w ( u v) w w( u v) Lnear operator 14
15 15 Unt 6 - Soluton
16 Unt 7 Prove the followng propertes of the dot product: 1 A A A 1 ( ) ( ) ( ) A B+ C AB + AC A BC AB C ABC AB BA 16
17 17 Unt 7 - Soluton
18 Unt 8 Prove the followng propertes: ( T ) ( T ) ( T) ( T) AB : Tr A B Tr B A Tr AB Tr BA BA : 1: A TrA A: 1 ( ) ( T ) ( T ) A: BC B A: C AC : B A: ( u v) u ( A v) ( u v) : ( w x) ( u w) ( v x) REMARK A: B C: B A C 18
19 19 Unt 8 - Soluton
20 20 Unt 8 - Soluton
21 Unt 9 21 Prove that det A e k AA A. k 1 2 3
22 Unt 9 - Soluton 22 det A det A A A A A A A A A A A A + A A A + A A A A A A A A A A A A
23 Unt 9 - Soluton 23 e AA 1 2 A 3 e111a11a21a31 + e112 A11A21A32 + e113a11a21a e121a11a22 A31 + e122 A11A22 A32 + e123a11a22 A e131a11a23a31 + e132 A11A23A32 + e133a11a23a A A A + e A A A + e A A A + k k k 1 k 2 k e221a12 A22 A31 + e222 A12 A22 A32 + e223a12 A22 A e231a12 A23A31 + e232 A12 A23A32 + e233a12 A23A e311a13a21a31 + e312 A13A21A32 + e313a13a21a e A A A + e A A A + e A A A e A A A + e A A A + e A A A A11A22 A33 + A12 A23A31 + A13A21A32 A13A22 A31 A12 A21A33 A11A23A32
24 Unt 10 Prove that c a b b a
25 Unt 10 - Soluton
26 Unt Gven the vector determne ( ) xxxˆ xxˆ ˆ x1 3 v v x e + e + e v, v, v.
27 Unt 11 - Soluton 27 ( ) xxxˆ xxˆ ˆ x1 3 v v x e + e + e Dvergence: [ v] xxx xx x 1 v v x v v v v v + + xx x1 x x1 x2 x3
28 Unt 11 - Soluton 28 Dvergence: v v x In matrx notaton: [ v] xxx xx x 1 T xxx symb symb symb T v [ ] [ v],, xx 1 2 x1 x2 x 3 x symb ( xxx 1 2 3) ( xx 1 2) x1 xxx + xx + x + + xx + x x x x x x x
29 Unt 11 - Soluton 29 Rotaton: [ v] e k v x In ndex notaton: k [ v] xxx xx x 1 v [ v] k ek x v v v v v v e + e + e + e + e + e x1 x1 x2 x2 x3 x3
30 Unt 11 - Soluton 30 Rotaton: v [ ] 2 v3 v1 v e 12 + e 13 + e21 + x x x In matrx notaton v v v + e + e + e x2 x3 x3 [ v] xxx xx x 1 v3 v2 e123 + e132 x2 x v [ ] 3 v1 v xx e + e x1 x x 2 xx 1 3 v2 v 1 e312 + e321 x1 x2 1 1 In compact notaton: ( xx 1) ˆ ( x xx ) v e + eˆ
31 Unt 11 - Soluton 31 Rotaton: v Calculated drectly n matrx notaton: v v x ˆ ˆ ˆ 1 e1 e2 e3 v1 symb v v 2 det x 2 x1 x2 x 3 v 3 v1 v2 v3 x3 v3 v 2 v1 v 3 v2 v 1 eˆ ˆ ˆ 1+ e2 + e3 x2 x3 x3 x1 x1 x2 + eˆ ( xx 1) eˆ ( x xx ) xxx xx x
32 Unt 11 - Soluton 32 Gradent: v v v v x v In matrx notaton x 1 xx 2 3 x2 1 symb symb symb T v v v xxx 1 2 3, xx 1 2, x 1 xx 1 3 x1 0 x 2 xx In compact notaton: x [ ] [ ] [ ] [ ] [ ][ ] [ ] 3 1 v xxx v xx eˆ eˆ + xeˆ eˆ + eˆ eˆ + xx eˆ eˆ + xeˆ eˆ + xx eˆ eˆ xx x
33 Unt 12 Establsh the followng denttes nvolvng a smooth scalar feld and a smooth vector feld v, ( ) φv φ v+ v φ ( ) φv φ v + φ v MMC - ETSECCPB - UPC 10/2/16
34 Unt 12 - Soluton ( ) φv φ v+ v φ [ v] v v φ φ φ ( φv) v + φ φ + v x x x x x ( ) φ v+ v φ φv φ v + φ v [ φv] φ v ( φ v ) v + φ φ + φ x x x v v [ ] [ ] MMC - ETSECCPB - UPC 10/2/16
35 Unt 13 Establsh the followng denttes nvolvng the smooth scalar felds and ψ, smooth vector felds u and v, and a smooth second order tensor feld A, φψ φ ψ + φ ψ ( ) ( ) ( ) φa φ A+ φ A ( ) A v A v+ A: v ( ) ( ) u v u v+ u v ( ) ( ) ( ) u v u v u v ( ) ( ) φ MMC - ETSECCPB - UPC 10/2/16
36 Unt 13- Soluton ( φψ ) ( φ ) ψ + φ ( ψ ) ( ) ( ) φψ φ ψ φψ ψ + φ [ φ] ψ + φ[ ψ] x x x ( ) ( φψ ) φ( ψ) + φa φ A+ φ A [ ] φ A φ A A φ ( φa) A + φ φ + A x x x x x [ A] [ ] [ A] [ A A] φ + φ φ + φ MMC - ETSECCPB - UPC 10/2/16
37 Unt 13- Soluton ( A v) ( A) v+ A: v ( A v ) A v ( A v) v + A x x x [ ] [ ] [ ] [ ] ( ) A v + A v A v+ A: v ( u v) ( u) v+ u v ( u v ) u v ( u v) v + u x x x ( )[ ] [ ] [ ] ( ) u v + u v u v+ u v MMC - ETSECCPB - UPC 10/2/16
38 Unt 13- Soluton ( ) ( ) u v u v u v ( ε v ) ( v ) ku k u k u vk ( u v) εk εk vk + εku x x x x u vk εk vk u ε k [ v] [ u] [ u] [ v] k k x x ( ) u v u v [ v] ε k v x k MMC - ETSECCPB - UPC 10/2/16
39 Unt 14 Establsh the followng denttes nvolvng the smooth scalar feld φ and the smooth vector felds u and v, ( u v) ( u) v ( v) u ( φv) ( φ) v φ( v) ( u v) ( u ) v v( u) u( v) u ( v) MMC - ETSECCPB - UPC 10/2/16
40 Unt 14- Soluton ( u v) ( u) v+ ( v) u ( u v ) u v ( u v) v + u [ u] [ v] + [ u] [ v] x x x ( ) ( ) u v+ v u ( φv) ( φ) v φ( v) ( φvk ) ( v) + φ vk φ ε k ε k v k + φε k x x x v ε k φ k + φε k φ + φ x k [ ] v ( ) v ( v) MMC - ETSECCPB - UPC 10/2/16
41 Unt 14- Soluton εkε pqk δpδ q δqδ p ( u v) ( u ) v v( u) + u( v) u ( v) ( u v) [ u v] ( ε u v ) k klm l m ε k εk x x ul vm εkεlmk vm + εkεlmkul x x ul vm ( δδ l m δmδ l ) vm + ( δδ l m δmδ l ) ul x x u u v v v v + u u x x x x [ u] [ v] ( u)[ v] [ u] ( v) [ u] [ v] + + MMC - ETSECCPB - UPC 10/2/16
42 Unt 14- Soluton ( u v) ( u ) v v( u) + u( v) u ( v) ( u v)... (contnued) [ u] [ v] ( u)[ v] [ u] ( v) [ u] [ v] [ u ] [ v] ( u)[ v] [ u] ( v) [ u] [ v] ( u ) v v( u) u( v) u ( v) + ( u ) v v( u) u( v) u ( v) + MMC - ETSECCPB - UPC 10/2/16
43 Unt where Use the Generalzed Dvergence Theorem to show that x S x n ds s the poston vector of Vδ n n V A n ds A V dv
44 Unt 15 - Soluton 44 x n ds S x n ds S Applyng the Generalzed Dvergence Theorem: S x n ds Vδ V x nds x V dv Applyng the defnton of gradent of a vector: [ x ] x [ ] x x x x
45 Unt 15 - Soluton 45 The Generalzed Dvergence Theorem n ndex notaton: Then, S x n ds V x x dv S x n ds Vδ x x n ds dv δ dv δ V S V V x
TENSOR ALGEBRA. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
TENSOR ALGEBRA Continuum Mechanics Course (MMC) - ETSECCPB - UPC Introduction to Tensors Tensor Algebra 2 Introduction SCALAR VECTOR,,... v, f,... v MATRIX σ, ε,...? C,... 3 Concept of Tensor A TENSOR
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 informationKinematics of Fluids. Lecture 16. (Refer the text book CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlines) 17/02/2017
17/0/017 Lecture 16 (Refer the text boo CONTINUUM MECHANICS by GEORGE E. MASE, Schaum s Outlnes) Knematcs of Fluds Last class, we started dscussng about the nematcs of fluds. Recall the Lagrangan and Euleran
More informationFall 2012 Analysis of Experimental Measurements B. Eisenstein/rev. S. Errede
Fall 0 Analyss of Expermental easurements B. Esensten/rev. S. Errede We now reformulate the lnear Least Squares ethod n more general terms, sutable for (eventually extendng to the non-lnear case, and also
More informationA how to guide to second quantization method.
Phys. 67 (Graduate Quantum Mechancs Sprng 2009 Prof. Pu K. Lam. Verson 3 (4/3/2009 A how to gude to second quantzaton method. -> Second quantzaton s a mathematcal notaton desgned to handle dentcal partcle
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More information8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS
SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 493 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces you have studed thus far n the text are real vector spaces because the scalars
More informationIn this section is given an overview of the common elasticity models.
Secton 4.1 4.1 Elastc Solds In ths secton s gven an overvew of the common elastcty models. 4.1.1 The Lnear Elastc Sold The classcal Lnear Elastc model, or Hooean model, has the followng lnear relatonshp
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 information2. PROBLEM STATEMENT AND SOLUTION STRATEGIES. L q. Suppose that we have a structure with known geometry (b, h, and L) and material properties (EA).
. PROBEM STATEMENT AND SOUTION STRATEGIES Problem statement P, Q h ρ ρ o EA, N b b Suppose that we have a structure wth known geometry (b, h, and ) and materal propertes (EA). Gven load (P), determne the
More informationFormulas for the Determinant
page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use
More informationAPPENDIX A Some Linear Algebra
APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,
More informationHomework Notes Week 7
Homework Notes Week 7 Math 4 Sprng 4 #4 (a Complete the proof n example 5 that s an nner product (the Frobenus nner product on M n n (F In the example propertes (a and (d have already been verfed so we
More informationDeterminants Containing Powers of Generalized Fibonacci Numbers
1 2 3 47 6 23 11 Journal of Integer Sequences, Vol 19 (2016), Artcle 1671 Determnants Contanng Powers of Generalzed Fbonacc Numbers Aram Tangboonduangjt and Thotsaporn Thanatpanonda Mahdol Unversty Internatonal
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 information1 Matrix representations of canonical matrices
1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:
More information(δr i ) 2. V i. r i 2,
Cartesan coordnates r, = 1, 2,... D for Eucldean space. Dstance by Pythagoras: (δs 2 = (δr 2. Unt vectors ê, dsplacement r = r ê Felds are functons of poston, or of r or of {r }. Scalar felds Φ( r, Vector
More informationCH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal
More informationAPPENDIX F A DISPLACEMENT-BASED BEAM ELEMENT WITH SHEAR DEFORMATIONS. Never use a Cubic Function Approximation for a Non-Prismatic Beam
APPENDIX F A DISPACEMENT-BASED BEAM EEMENT WITH SHEAR DEFORMATIONS Never use a Cubc Functon Approxmaton for a Non-Prsmatc Beam F. INTRODUCTION { XE "Shearng Deformatons" }In ths appendx a unque development
More informationPoisson brackets and canonical transformations
rof O B Wrght Mechancs Notes osson brackets and canoncal transformatons osson Brackets Consder an arbtrary functon f f ( qp t) df f f f q p q p t But q p p where ( qp ) pq q df f f f p q q p t In order
More informationInner Product. Euclidean Space. Orthonormal Basis. Orthogonal
Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,
More informationVEKTORANALYS GAUSS THEOREM STOKES THEOREM. and. Kursvecka 3. Kapitel 6 7 Sidor 51 82
VEKTORANAY Kursvecka 3 GAU THEOREM and TOKE THEOREM Kaptel 6 7 dor 51 82 TARGET PROBEM Do magnetc monopoles est? EECTRIC FIED MAGNETIC FIED N +? 1 TARGET PROBEM et s consder some EECTRIC CHARGE 2 - + +
More informationQuantum Mechanics I - Session 4
Quantum Mechancs I - Sesson 4 Aprl 3, 05 Contents Operators Change of Bass 4 3 Egenvectors and Egenvalues 5 3. Denton....................................... 5 3. Rotaton n D....................................
More informationVEKTORANALYS. GAUSS s THEOREM and STOKES s THEOREM. Kursvecka 3. Kapitel 6-7 Sidor 51-82
VEKTORANAY Kursvecka 3 GAU s THEOREM and TOKE s THEOREM Kaptel 6-7 dor 51-82 TARGET PROBEM EECTRIC FIED MAGNETIC FIED N + Magnetc monopoles do not est n nature. How can we epress ths nformaton for E and
More informationGeometric Registration for Deformable Shapes. 2.1 ICP + Tangent Space optimization for Rigid Motions
Geometrc Regstraton for Deformable Shapes 2.1 ICP + Tangent Space optmzaton for Rgd Motons Regstraton Problem Gven Two pont cloud data sets P (model) and Q (data) sampled from surfaces Φ P and Φ Q respectvely.
More informationSome basic inequalities. Definition. Let V be a vector space over the complex numbers. An inner product is given by a function, V V C
Some basc nequaltes Defnton. Let V be a vector space over the complex numbers. An nner product s gven by a functon, V V C (x, y) x, y satsfyng the followng propertes (for all x V, y V and c C) (1) x +
More informationOn the symmetric character of the thermal conductivity tensor
On the symmetrc character of the thermal conductvty tensor Al R. Hadjesfandar Department of Mechancal and Aerospace Engneerng Unversty at Buffalo, State Unversty of New York Buffalo, NY 146 USA ah@buffalo.edu
More informationAffine and Riemannian Connections
Affne and Remannan Connectons Semnar Remannan Geometry Summer Term 2015 Prof Dr Anna Wenhard and Dr Gye-Seon Lee Jakob Ullmann Notaton: X(M) space of smooth vector felds on M D(M) space of smooth functons
More information763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1.
7636S ADVANCED QUANTUM MECHANICS Soluton Set 1 Sprng 013 1 Warm-up Show that the egenvalues of a Hermtan operator  are real and that the egenkets correspondng to dfferent egenvalues are orthogonal (b)
More informationLecture 6/7 (February 10/12, 2014) DIRAC EQUATION. The non-relativistic Schrödinger equation was obtained by noting that the Hamiltonian 2
P470 Lecture 6/7 (February 10/1, 014) DIRAC EQUATION The non-relatvstc Schrödnger equaton was obtaned by notng that the Hamltonan H = P (1) m can be transformed nto an operator form wth the substtutons
More informationLagrangian Field Theory
Lagrangan Feld Theory Adam Lott PHY 391 Aprl 6, 017 1 Introducton Ths paper s a summary of Chapter of Mandl and Shaw s Quantum Feld Theory [1]. The frst thng to do s to fx the notaton. For the most part,
More informationare called the contravariant components of the vector a and the a i are called the covariant components of the vector a.
Non-Cartesan Coordnates The poston of an arbtrary pont P n space may be expressed n terms of the three curvlnear coordnates u 1,u,u 3. If r(u 1,u,u 3 ) s the poston vector of the pont P, at every such
More informationAppendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
A Appendx for Causal Interacton n Factoral Experments: Applcaton to Conjont Analyss Mathematcal Appendx: Proofs of Theorems A. Lemmas Below, we descrbe all the lemmas, whch are used to prove the man theorems
More informationElectric Machinery and Apparatus 1 AE1B14SP1. Miroslav Chomát room B3-248
Electrc Machnery and Apparatus 1 AE1B14SP1 Mroslav Chomát chomat@fel.cvut.cz room B3-48 Inducton Machne (IM) Applcatons Constructon Prncple Equatons Equvalent crcut Torque-speed characterstc Crcle dagram
More information1. Basic Operations Consider two vectors a (1, 4, 6) and b (2, 0, 4), where the components have been expressed in a given orthonormal basis.
Questions on Vectors and Tensors 1. Basic Operations Consider two vectors a (1, 4, 6) and b (2, 0, 4), where the components have been expressed in a given orthonormal basis. Compute 1. a. 2. The angle
More informationBOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS
BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all
More informationAn Inequality for the trace of matrix products, using absolute values
arxv:1106.6189v2 [math-ph] 1 Sep 2011 An Inequalty for the trace of matrx products, usng absolute values Bernhard Baumgartner 1 Fakultät für Physk, Unverstät Wen Boltzmanngasse 5, A-1090 Venna, Austra
More information1 (1 + ( )) = 1 8 ( ) = (c) Carrying out the Taylor expansion, in this case, the series truncates at second order:
68A Solutons to Exercses March 05 (a) Usng a Taylor expanson, and notng that n 0 for all n >, ( + ) ( + ( ) + ) We can t nvert / because there s no Taylor expanson around 0 Lets try to calculate the nverse
More informationErratum: A Generalized Path Integral Control Approach to Reinforcement Learning
Journal of Machne Learnng Research 00-9 Submtted /0; Publshed 7/ Erratum: A Generalzed Path Integral Control Approach to Renforcement Learnng Evangelos ATheodorou Jonas Buchl Stefan Schaal Department of
More informationSTUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS
Blucher Mechancal Engneerng Proceedngs May 0, vol., num. www.proceedngs.blucher.com.br/evento/0wccm STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS Takahko Kurahash,
More informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationThe Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices
Internatonal Mathematcal Forum, Vol 11, 2016, no 11, 513-520 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/mf20166442 The Jacobsthal and Jacobsthal-Lucas Numbers va Square Roots of Matrces Saadet Arslan
More informationChange. Flamenco Chuck Keyser. Updates 11/26/2017, 11/28/2017, 11/29/2017, 12/05/2017. Most Recent Update 12/22/2017
Change Flamenco Chuck Keyser Updates /6/7, /8/7, /9/7, /5/7 Most Recent Update //7 The Relatvstc Unt Crcle (ncludng proof of Fermat s Theorem) Relatvty Page (n progress, much more to be sad, and revsons
More informationIrreversibility of Processes in Closed System
Unversty of Segen Insttute of Flud- & hermodynamcs 5 2/1 Irreversblty of Processes n Closed System m G 2 m c 2 2, p, V m g h h 1 mc 1 1 p, p, V G J.P. Joule Strrng experment v J.B. Fourer Heat transfer
More informationD.K.M COLLEGE FOR WOMEN (AUTONOMOUS), VELLORE DEPARTMENT OF MATHEMATICS
D.K.M COLLEGE FOR WOMEN (AUTONOMOUS), VELLORE DEPARTMENT OF MATHEMATICS SUB: ALGEBRA SUB CODE: 5CPMAA SECTION- A UNIT-. Defne conjugate of a n G and prove that conjugacy s an equvalence relaton on G. Defne
More informationPrinciple of virtual work
Ths prncple s the most general prncple n mechancs 2.9.217 Prncple of vrtual work There s Equvalence between the Prncple of Vrtual Work and the Equlbrum Equaton You must know ths from statc course and dynamcs
More informationSurface x(u, v) and curve α(t) on it given by u(t) & v(t). Math 4140/5530: Differential Geometry
Surface x(u, v) and curve α(t) on it given by u(t) & v(t). α du dv (t) x u dt + x v dt Surface x(u, v) and curve α(t) on it given by u(t) & v(t). α du dv (t) x u dt + x v dt ( ds dt )2 Surface x(u, v)
More information2.29 Numerical Fluid Mechanics Fall 2011 Lecture 6
REVIEW of Lecture 5 2.29 Numercal Flud Mechancs Fall 2011 Lecture 6 Contnuum Hypothess and conservaton laws Macroscopc Propertes Materal covered n class: Dfferental forms of conservaton laws Materal Dervatve
More informationPHYS 705: Classical Mechanics. Newtonian Mechanics
1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]
More informationBernoulli Numbers and Polynomials
Bernoull Numbers and Polynomals T. Muthukumar tmk@tk.ac.n 17 Jun 2014 The sum of frst n natural numbers 1, 2, 3,..., n s n n(n + 1 S 1 (n := m = = n2 2 2 + n 2. Ths formula can be derved by notng that
More informationChat eld, C. and A.J.Collins, Introduction to multivariate analysis. Chapman & Hall, 1980
MT07: Multvarate Statstcal Methods Mke Tso: emal mke.tso@manchester.ac.uk Webpage for notes: http://www.maths.manchester.ac.uk/~mkt/new_teachng.htm. Introducton to multvarate data. Books Chat eld, C. and
More informationCH.2. DEFORMATION AND STRAIN. Continuum Mechanics Course (MMC) - ETSECCPB - UPC
CH.. DEFORMATION AND STRAIN Continuum Mechanics Course (MMC) - ETSECCPB - UPC Overview Introduction Deformation Gradient Tensor Material Deformation Gradient Tensor Inverse (Spatial) Deformation Gradient
More informationMASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF MATERIALS SCIENCE AND ENGINEERING CAMBRIDGE, MASSACHUSETTS 02139
MASSACHUSETTS NSTTUTE OF TECHNOLOGY DEPARTMENT OF MATERALS SCENCE AND ENGNEERNG CAMBRDGE, MASSACHUSETTS 39 3. MECHANCAL PROPERTES OF MATERALS PROBLEM SET SOLUTONS Reading Ashby, M.F., 98, Tensors: Notes
More informationLECTURE 9 CANONICAL CORRELATION ANALYSIS
LECURE 9 CANONICAL CORRELAION ANALYSIS Introducton he concept of canoncal correlaton arses when we want to quantfy the assocatons between two sets of varables. For example, suppose that the frst set of
More informationON MECHANICS WITH VARIABLE NONCOMMUTATIVITY
ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY CIPRIAN ACATRINEI Natonal Insttute of Nuclear Physcs and Engneerng P.O. Box MG-6, 07725-Bucharest, Romana E-mal: acatrne@theory.npne.ro. Receved March 6, 2008
More informationA Quantum Gauss-Bonnet Theorem
A Quantum Gauss-Bonnet Theorem Tyler Fresen November 13, 2014 Curvature n the plane Let Γ be a smooth curve wth orentaton n R 2, parametrzed by arc length. The curvature k of Γ s ± Γ, where the sgn s postve
More informationBinomial transforms of the modified k-fibonacci-like sequence
Internatonal Journal of Mathematcs and Computer Scence, 14(2019, no. 1, 47 59 M CS Bnomal transforms of the modfed k-fbonacc-lke sequence Youngwoo Kwon Department of mathematcs Korea Unversty Seoul, Republc
More informationChapter Eight. Review and Summary. Two methods in solid mechanics ---- vectorial methods and energy methods or variational methods
Chapter Eght Energy Method 8. Introducton 8. Stran energy expressons 8.3 Prncpal of statonary potental energy; several degrees of freedom ------ Castglano s frst theorem ---- Examples 8.4 Prncpal of statonary
More informationPanHomc'r I'rui;* :".>r '.a'' W"»' I'fltolt. 'j'l :. r... Jnfii<on. Kslaiaaac. <.T i.. %.. 1 >
5 28 (x / &» )»(»»» Q ( 3 Q» (» ( (3 5» ( q 2 5 q 2 5 5 8) 5 2 2 ) ~ ( / x {» /»»»»» (»»» ( 3 ) / & Q ) X ] Q & X X X x» 8 ( &» 2 & % X ) 8 x & X ( #»»q 3 ( ) & X 3 / Q X»»» %» ( z 22 (»» 2» }» / & 2 X
More informationCH.1. THERMODYNAMIC FOUNDATIONS OF CONSTITUTIVE MODELLING. Computational Solid Mechanics- Xavier Oliver-UPC
CH.1. THERMODYNAMIC FOUNDATIONS OF CONSTITUTIVE MODELLING Computational Solid Mechanics- Xavier Oliver-UPC 1.1 Dissipation approach for constitutive modelling Ch.1. Thermodynamical foundations of constitutive
More informationMANY BILLS OF CONCERN TO PUBLIC
- 6 8 9-6 8 9 6 9 XXX 4 > -? - 8 9 x 4 z ) - -! x - x - - X - - - - - x 00 - - - - - x z - - - x x - x - - - - - ) x - - - - - - 0 > - 000-90 - - 4 0 x 00 - -? z 8 & x - - 8? > 9 - - - - 64 49 9 x - -
More informationDIPOLES III. q const. The voltage produced by such a charge distribution is given by. r r'
DIPOLES III We now consider a particularly important charge configuration a dipole. This consists of two equal but opposite charges separated by a small distance. We define the dipole moment as p lim q
More informationThe Parity of the Number of Irreducible Factors for Some Pentanomials
The Party of the Nuber of Irreducble Factors for Soe Pentanoals Wolfra Koepf 1, Ryul K 1 Departent of Matheatcs Unversty of Kassel, Kassel, F. R. Gerany Faculty of Matheatcs and Mechancs K Il Sung Unversty,
More informationPolynomials. 1 More properties of polynomials
Polynomals 1 More propertes of polynomals Recall that, for R a commutatve rng wth unty (as wth all rngs n ths course unless otherwse noted), we defne R[x] to be the set of expressons n =0 a x, where a
More informationPHYS 705: Classical Mechanics. Canonical Transformation II
1 PHYS 705: Classcal Mechancs Canoncal Transformaton II Example: Harmonc Oscllator f ( x) x m 0 x U( x) x mx x LT U m Defne or L p p mx x x m mx x H px L px p m p x m m H p 1 x m p m 1 m H x p m x m m
More informationTHEOREMS OF QUANTUM MECHANICS
THEOREMS OF QUANTUM MECHANICS In order to develop methods to treat many-electron systems (atoms & molecules), many of the theorems of quantum mechancs are useful. Useful Notaton The matrx element A mn
More informationReview of Vector Algebra and Vector Calculus Operations
Revew of Vecto Algeba and Vecto Calculus Opeatons Tpes of vaables n Flud Mechancs Repesentaton of vectos Dffeent coodnate sstems Base vecto elatons Scala and vecto poducts Stess Newton s law of vscost
More informationHowever, since P is a symmetric idempotent matrix, of P are either 0 or 1 [Eigen-values
Fall 007 Soluton to Mdterm Examnaton STAT 7 Dr. Goel. [0 ponts] For the general lnear model = X + ε, wth uncorrelated errors havng mean zero and varance σ, suppose that the desgn matrx X s not necessarly
More informationUnitary rotations. October 28, 2014
Unitary rotations October 8, 04 The special unitary group in dimensions It turns out that all orthogonal groups SO n), rotations in n real dimensions) may be written as special cases of rotations in a
More informationSolid Mechanics Z. Suo
Sold Mechancs http://mechancaorg/node/03 Z Suo Fnte Deformaton: General Theory The notes on fnte deformaton have been dvded nto two parts: specal cases (http://mechancaorg/node/5065) and general theory
More informationClassical Mechanics ( Particles and Biparticles )
Classcal Mechancs ( Partcles and Bpartcles ) Alejandro A. Torassa Creatve Commons Attrbuton 3.0 Lcense (0) Buenos Ares, Argentna atorassa@gmal.com Abstract Ths paper consders the exstence of bpartcles
More information3. Tensor (continued) Definitions
atheatcs Revew. ensor (contnued) Defntons Scalar roduct of two tensors : : : carry out the dot roducts ndcated ( )( ) δ δ becoes becoes atheatcs Revew But, what s a tensor really? tensor s a handy reresentaton
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 informationGeorgia Tech PHYS 6124 Mathematical Methods of Physics I
Georga Tech PHYS 624 Mathematcal Methods of Physcs I Instructor: Predrag Cvtanovć Fall semester 202 Homework Set #7 due October 30 202 == show all your work for maxmum credt == put labels ttle legends
More informationEEE 241: Linear Systems
EEE : Lnear Systems Summary #: Backpropagaton BACKPROPAGATION The perceptron rule as well as the Wdrow Hoff learnng were desgned to tran sngle layer networks. They suffer from the same dsadvantage: they
More information9 Characteristic classes
THEODORE VORONOV DIFFERENTIAL GEOMETRY. Sprng 2009 [under constructon] 9 Characterstc classes 9.1 The frst Chern class of a lne bundle Consder a complex vector bundle E B of rank p. We shall construct
More informationGenericity of Critical Types
Genercty of Crtcal Types Y-Chun Chen Alfredo D Tllo Eduardo Fangold Syang Xong September 2008 Abstract Ely and Pesk 2008 offers an nsghtful characterzaton of crtcal types: a type s crtcal f and only f
More informationExample. Addition, subtraction, and multiplication in Z are binary operations; division in Z is not ( Z).
CHAPTER 2 Groups Definition (Binary Operation). Let G be a set. A binary operation on G is a function that assigns each ordered pair of elements of G an element of G. Note. This condition of assigning
More informationFrequency dependence of the permittivity
Frequency dependence of the permttvty February 7, 016 In materals, the delectrc constant and permeablty are actually frequency dependent. Ths does not affect our results for sngle frequency modes, but
More informationCanonical transformations
Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,
More informationThe Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites
7 Asa-Pacfc Engneerng Technology Conference (APETC 7) ISBN: 978--6595-443- The Two-scale Fnte Element Errors Analyss for One Class of Thermoelastc Problem n Perodc Compostes Xaoun Deng Mngxang Deng ABSTRACT
More informationOn a direct solver for linear least squares problems
ISSN 2066-6594 Ann. Acad. Rom. Sc. Ser. Math. Appl. Vol. 8, No. 2/2016 On a drect solver for lnear least squares problems Constantn Popa Abstract The Null Space (NS) algorthm s a drect solver for lnear
More informationVector Calculus Review
Course Instructor Dr. Ramond C. Rumpf Office: A-337 Phone: (915) 747-6958 E-Mail: rcrumpf@utep.edu Vector Calculus Review EE3321 Electromagnetic Field Theor Outline Mathematical Preliminaries Phasors,
More information) is the unite step-function, which signifies that the second term of the right-hand side of the
Casmr nteracton of excted meda n electromagnetc felds Yury Sherkunov Introducton The long-range electrc dpole nteracton between an excted atom and a ground-state atom s consdered n ref. [1,] wth the help
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 informationInner Product Spaces
Inner Product Spaces Linear Algebra Josh Engwer TTU 28 October 2015 Josh Engwer (TTU) Inner Product Spaces 28 October 2015 1 / 15 Inner Product Space (Definition) An inner product is the notion of a dot
More informationAffine transformations and convexity
Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/
More informationFUZZY FINITE ELEMENT METHOD
FUZZY FINITE ELEMENT METHOD RELIABILITY TRUCTURE ANALYI UING PROBABILITY 3.. Maxmum Normal tress Internal force s the shear force, V has a magntude equal to the load P and bendng moment, M. Bendng moments
More informationChapter 7 Generalized and Weighted Least Squares Estimation. In this method, the deviation between the observed and expected values of
Chapter 7 Generalzed and Weghted Least Squares Estmaton The usual lnear regresson model assumes that all the random error components are dentcally and ndependently dstrbuted wth constant varance. When
More informationψ = i c i u i c i a i b i u i = i b 0 0 b 0 0
Quantum Mechancs, Advanced Course FMFN/FYSN7 Solutons Sheet Soluton. Lets denote the two operators by  and ˆB, the set of egenstates by { u }, and the egenvalues as  u = a u and ˆB u = b u. Snce the
More informationAn efficient algorithm for multivariate Maclaurin Newton transformation
Annales UMCS Informatca AI VIII, 2 2008) 5 14 DOI: 10.2478/v10065-008-0020-6 An effcent algorthm for multvarate Maclaurn Newton transformaton Joanna Kapusta Insttute of Mathematcs and Computer Scence,
More informationTANGENT DIRAC STRUCTURES OF HIGHER ORDER. P. M. Kouotchop Wamba, A. Ntyam, and J. Wouafo Kamga
ARCHIVUM MATHEMATICUM BRNO) Tomus 47 2011), 17 22 TANGENT DIRAC STRUCTURES OF HIGHER ORDER P. M. Kouotchop Wamba, A. Ntyam, and J. Wouafo Kamga Abstract. Let L be an almost Drac structure on a manfold
More informationT f. Geometry. R f. R i. Homogeneous transformation. y x. P f. f 000. Homogeneous transformation matrix. R (A): Orientation P : Position
Homogeneous transformaton Geometr T f R f R T f Homogeneous transformaton matr Unverst of Genova T f Phlppe Martnet = R f 000 P f 1 R (A): Orentaton P : Poston 123 Modelng and Control of Manpulator robots
More informationSmarandache-Zero Divisors in Group Rings
Smarandache-Zero Dvsors n Group Rngs W.B. Vasantha and Moon K. Chetry Department of Mathematcs I.I.T Madras, Chenna The study of zero-dvsors n group rngs had become nterestng problem snce 1940 wth the
More informationLorentz Group. Ling Fong Li. 1 Lorentz group Generators Simple representations... 3
Lorentz Group Lng Fong L ontents Lorentz group. Generators............................................. Smple representatons..................................... 3 Lorentz group In the dervaton of Drac
More informationarxiv: v1 [math.co] 12 Sep 2014
arxv:1409.3707v1 [math.co] 12 Sep 2014 On the bnomal sums of Horadam sequence Nazmye Ylmaz and Necat Taskara Department of Mathematcs, Scence Faculty, Selcuk Unversty, 42075, Campus, Konya, Turkey March
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 informationPhys304 Quantum Physics II (2005) Quantum Mechanics Summary. 2. This kind of behaviour can be described in the mathematical language of vectors:
MACQUARIE UNIVERSITY Department of Physcs Dvson of ICS Phys304 Quantum Physcs II (2005) Quantum Mechancs Summary The followng defntons and concepts set up the basc mathematcal language used n quantum mechancs,
More informationMEM 255 Introduction to Control Systems Review: Basics of Linear Algebra
MEM 255 Introducton to Control Systems Revew: Bascs of Lnear Algebra Harry G. Kwatny Department of Mechancal Engneerng & Mechancs Drexel Unversty Outlne Vectors Matrces MATLAB Advanced Topcs Vectors A
More informationFor now, let us focus on a specific model of neurons. These are simplified from reality but can achieve remarkable results.
Neural Networks : Dervaton compled by Alvn Wan from Professor Jtendra Malk s lecture Ths type of computaton s called deep learnng and s the most popular method for many problems, such as computer vson
More information