Dynamics of Structures
|
|
- Elfrieda Pierce
- 6 years ago
- Views:
Transcription
1 UNION Dymis of Strutures Prt Zbigiew Wójii Je Grosel Projet o-fied by Europe Uio withi Europe Soil Fud
2 UNION Mtries Defiitio of mtri mtri is set of umbers or lgebri epressios rrged i retgulr form with m s d olums. mtri is deoted by uderlied letter or bold letter. The bbrevitio dim deotes the dimesio of mtri. y elemet of mtri is desribed by two subsripts ij, where the first oe, i, deotes the umber of the d the seod, j - the umber of the olum. The elemet ij is pled o the itersetio of i-th d j-th olum. == m m m m m m m m, dim = m i m j ij mj i m i-th : i j-th olum: j elemet: ij every elemet of mtri : [] ij = i, j ij Types of mtries dim = m retgulr mtri dim B= mtri dim C= m olum mtri, vetor Projet o-fied by Europe Uio withi Europe Soil Fud
3 UNION dim D= squre mtri dim E= m d [E] ij = zero mtri,, m dim F= d f ij = for ij digol mtri, f f f f f f f digf, f,..., f dim I = d i ij = for ij d i ii = iity mtri I = I = = I = e.g. I, I Equlity of mtries =B [] ij =[B] ij Slr multiplitio B = [B] ij = [] ij ; - slr Mtri dditio Mtri dditio is possible oly if the dimesios of mtries re equl. C=+B [C] ij =[] ij +[B] ij dim = dim B = dim C Property of mtri dditio + B = B + + B + C = ( + B) + C = + (B + C) + = = Projet o-fied by Europe Uio withi Europe Soil Fud
4 UNION Mtri multiplitio B = C multiplitio is possible if dim C= mp where dim = m, dim B= p. The result of multiplitio is equl to ij = i b j = i b j i b j i b j... i b j The ft tht the multiplitio B is possible does ot me tht the multiplitio B is possible. Emple: = ; B= ; C = B=?, 9 8 7??????? B = C = , but B does ot eist! 7 Projet o-fied by Europe Uio withi Europe Soil Fud
5 UNION Hee, the followig phrses re used to desribe multiplitio B: mtri is right multiplied by mtri B or mtri is postmultiplied by mtri B; mtri B is left multiplied by mtri or mtri B is premultiplied by mtri. Properties of mtri multiplitio I geerl the mtri multiplitio is ot ommuttive. B C = ( B) C = (B C ) ( B) = () B = (B) ( + B) C = C + B C = B C + C C ( + B) = C + C B = C B + C = = I = I = From the results B = oe ot derive tht =, B = or B =. Mtri multiplitio is ommuttive oly for digol mtries with the sme dimesios: {} {b} = {b} {} = {b} dim{} =dim{b} Emple: =, {b} = dig (, ), {b}=? {b} =? 9 {b}=. It is olum multiplitio, i.e. the i-th olum of mtri is multiplied by the i-th elemet of digol {b} {b} = [ j b j ] {b} =. It is multiplitio, i.e. the j-th of mtri is multiplied by the j-th elemet of digol {b} {b} = [b i i ]. Projet o-fied by Europe Uio withi Europe Soil Fud
6 UNION Mtri trspositio = B T dim = m, dim B= m d [] ij = [B] ji Emple: T B= ; B T = = B T B = T = ( T ) T (+B+C) T = T +B T +C T ( B C) T = C T B T T If = T the is symmetri mtri, [] ij = [] ji If = T the is sew-symmetri mtri, [] ij = -[] ji, [] ii = Every digol mtri is lso symmetri mtri {} T = {}. Tre of mtri dim =, tr =... tr T = tr tr (+B+C) = tr + tr B + tr C tr ( ) = (tr ) tr ( B) = tr (B ) tr ( B C) = tr (B C ) = tr (C B ) tr ( C B ) Projet o-fied by Europe Uio withi Europe Soil Fud
7 UNION Emple: tr 7 Determit of mtri ermit of mtri is deoted by. The ermit is slr d is defied solely for the squre mtri dim =. The esiest wy to defie the ermit is reursio. For mtri with dimesios, the ermit is equl i vlue to the oly elemet of this mtri. For mtri with dimesios, the ermit is equl to: For mtri with dimesios, the rule of Srrus be used. Two first olums should be writte o the right side of the mtri (or two first s -- uder the mtri). The produt of the elemets rossed with blue lie re dded, d the oes rossed with red lie re subtrted: For mtri with dimesios dim = is defied by ermits of mtries with dimesios (-)(-). The mior M ij is mtri obtied from mtri by ersig the i-th d the j-th olum. The oftor ij of the elemet ij is ermit of the mior M ij multiplied by (- ) i+j. ij = (-) i+j M ij The ermit my be lulted by pplitio of the Lple epsio log y i-th Projet o-fied by Europe Uio withi Europe Soil Fud
8 Projet o-fied by Europe Uio withi Europe Soil Fud UNION = i i M i = i i or log y j-th = j j M j = j j Emple? Usig the Lple epsio log the rd olum d the rule of Srrus, the ermit be esily lulted: 7 8 ) ( ) ( ddig olum/ multiplied by y umber to other olum/ does ot hge the vlue of the ermit. This property mes it possible to lulte the ermit esily. I the emple below: () the d multiplied by - is dded to the th. fter this, there is oly oe ozero elemet i the rd olum () the Lple epsio is pplied log the rd olum () the st multiplied by - is dded to the d d the st multiplied by is dded to the rd. () the Lple epsio is pplied log the st olum d the ermit be lulted esily for mtri.
9 UNION () 8 ( ) () () 8 ( 8) 7 () Some properties of ermit: T = ( ) = ( ) ( B C) = B C {} =... is lled sigulr mtri or degeerte mtri if =. is lled o-sigulr mtri (odegeerte mtri or ivertible mtri) if. Iversio of mtri squre mtri B with the sme dimesios s mtri is lled iverse to it whe: B = B = I The symbol - is used for mtri iverse to. Usig the properties of the ermit: =, = ( ) = ( ) - = - = I ( - ) = - = I = Projet o-fied by Europe Uio withi Europe Soil Fud
10 Projet o-fied by Europe Uio withi Europe Soil Fud UNION - = / - eist oly if ( is o-sigulr mtri). Mtri - by derived usig formul: - = dj / where dj is djugte (or djoit) mtri i.e. trsposed mtri of oftors ij. dj = T = Emple: =, = 9++ = dj = T = 9 9 T - = dj / =,, 7,, y mtri ould be trsformed ito iity mtri I by performig the followig trsformtios (multiplitio of the /olum by slr, ddig s/olums). By pplyig the sme trsformtios to the iity mtri oe obti mtri iverse to.
11 Projet o-fied by Europe Uio withi Europe Soil Fud UNION =, I = rd d d st rd st (step) =, I (step) = / elemet d d d st st (step ) =, I (step ) = / d rd d rd st st rd rd (step ) = =I, I (step ) =,, 7,, = - Verifitio of: - =?, - =?,, 7,,,, 7,, Vetors Mtries with oly oe olum re ofte lled vetors. Vetors re deoted by overliig = ol (,,... ) = = [,,... ] T Two vetors re orthogol if y y T T
12 UNION T T Two vetors re orthogol with weight if y y. The ormliztio of vetor is result of dividig elemets of this vetor by umber. The most ommo method of ormliztio is dividig vetor ) by its mimum bsolute vlue or ) by the Eulide orm. Emple: 7 ) m i mimum orm 7 T ) - Eulide orm ( 7) 9 Normlized vetor orm = / ) ol,, - orm, orm ) ol, orm, i orm System of lier equtios The system of lier equtios with uows (,,, ) ould be writte dow with mtri ottio y y y y Projet o-fied by Europe Uio withi Europe Soil Fud
13 UNION system of lier equtios is lled homogeous system if y =, d ohomogeous system if y. The eistee of solutio depeds o the type of the system (homogeous or ot) d o the properties of mtri (if it is sigulr mtri or ot).. ohomogeous system ( y ).. solutio eists = - y.. = solutio does ot eist. homogeous system ( y = ).. solutio eists d is trivil =.. = there is ifiite umber of solutios = dj v, v - y rbitrry vetor, for v =ol (,,...,,... ) the solutio is y o-zero olum of mtri dj ; geerlly the solutio is lier ombitio of olums of mtri dj. Eigeproblem Numbers i re eigevlues of squre mtri if ozero vetor equtio w = i w. Vetors w = w i i wi re lled eigevetors. w i eists whih fulfils the w w = ( I) w = ; w ( I) = j i ij i j ( I) =... hrteristi equtio Projet o-fied by Europe Uio withi Europe Soil Fud
14 UNION The solutios of this hrteristi equtio,,..., re eigevlues. Emple: Clulte eigevlues of mtri =, hrteristi equtio:, 9 solutios, 7 The eigevetor is y o-zero olum of the mtri djoit to mtri ( i I) = ; B =( I) =, dj B = ormliztio, w, = 7; B =( I) =, dj B = ormliztio, w y produt of w is lso eigevetor, where - y umber. i w, w, W = w w =, mtri W, the i-th olum of whih is equl to w i, is lled eigemtri. Usig system Mthemti for mtri lultios I the system Mthemti, mtries re defied s lists of lists e.g. lists of s. The system gives output i the sme form. I order to see the mtri i the form of tble, oe eeds to use the ommd TrditiolForm or //MtriForm. Projet o-fied by Europe Uio withi Europe Soil Fud
15 UNION I[]:=,,,,,,,, Out[]=,,,,,,,, I[]:= Out[]=,,,,,,,, I[]:= MtriForm Out[]//MtriForm= I[]:= TrditiolForm Out[]//TrditiolForm= I[]:= Out[]= v,,,, I[]:= MtriFormv Out[]//MtriForm= I order to trspose the mtri, the ommd Trspose should be used. The trspositio of vetor with oe olum yields mtri with oe oly. I[7]:= Out[7]= Trspose,,,,,,,, I[8]:= TrditiolFormTrspose Out[8]//TrditiolForm= I[9]:= Trsposev MtriForm Out[9]//MtriForm= For mtries, the multiplitio symbol. (dot) is used. Projet o-fied by Europe Uio withi Europe Soil Fud
16 UNION I[]:=. MtriForm Out[]//MtriForm= I[]:=.v MtriForm Out[]//MtriForm= 8 I[]:= Trsposev. MtriForm Out[]//MtriForm= 8 The ommd Det is used for lultig the ermit, Tr is used for lultig the tre Iverse is used for lultig the iversio of the mtri. I[]:= Det Out[]= I[]:= TrditiolFormIverse Out[]//TrditiolForm= 9 I[]:= Tr Out[]= 7 Projet o-fied by Europe Uio withi Europe Soil Fud
17 UNION I[7]:= TrditiolFormIverse. Out[7]//TrditiolForm= I[8]:= TrditiolFormIityMtri Out[8]//TrditiolForm= I[9]:= DigolMtri,, MtriForm Out[9]//MtriForm= The ommd IityMtri be used i order to delre iity mtri, d the ommd DigolMtri to delre digol mtri. The ommd Eigevlues yields the eigevlues of the mtri, rrged from the gretest to the smllest. The ommd Eigevetors yields the eigevetors of the mtri. These eigevetors re rrged i s! The first orrespods to the gretest eigevlue. The ommd Eigesystem ombies two previous ommds. I[]:=,,, ; MtriForm Out[]//MtriForm= I[7]:= Out[7]= Eigevlues 7, I[8]:= Eigevetors MtriForm Out[8]//MtriForm= I[9]:= Eigesystem MtriForm Out[9]//MtriForm= 7,, Projet o-fied by Europe Uio withi Europe Soil Fud
18 Projet o-fied by Europe Uio withi Europe Soil Fud UNION Problems The followig mtries re give: =, B =, C =, D =, E =, F = 7, G = 7, U =, V =, X =, L = dig (, ), M = dig (,, ), N = dig (,,, ).. Evlute: () +, (b), () B, (d) B C T, (e) E F, (f) D V, (g) X T G, (h) D M, (i) N G, (j) V T V, () V V T.. Evlute: () tr G, (b) C, () D, (d) G, (e) (L C L).. Evlute: () dj B, (b) dj N, () dj (U U T ).. Evlute eigevlues d eigevetors of mtries: (), (b) D, () G.. Solve the system of equtios: y z y z y. Fid the vlue of for whih otrivil solutio v of these equtios eists: (K B ) v, Fid vetors v d ormlize them () K =, B = m m, fid the solutio for m d or ssume =, m=, (b) K =, B = m m m, =, m=,
19 Projet o-fied by Europe Uio withi Europe Soil Fud UNION swers to problems. () + =, (bd) = B = B C T = 8, (e) E F = 8 8 9, (f) D V =, (g) X T G = 7 9 (h) D M =, (i) N G = 8 8, (j) V T V =[], () V V T = 9,. () tr G =, (b) C= 8 () D = - (d) G = (e) (L C L) = =,. () dj B, (b) dj N = dig (8,,, ) () dj (U U T ) = dj =. () : = =,77, = + =,88,. W =,,. D = ; D()= D I; D() = = = =,9 =,7 = 7,9
20 UNION 8. eigemtri W =,8,,,88,8 ;, 9. eg. dj D( ) = dj,,, =,,8 9,, 7, 9 8, T,,,8 9, olums' ormliztio, =, 7, 9 8, 8,7,, 8,7,8,,8,,8,. G = 7, The hrteristi equtio + + = =,89 ; =,,987 i; =, +,987 i; =8,7. Eigemtri W =,,9,7,7,88 i,,i,,77i,7,88 i,,i,,77i,,8,,. y z y z y System mtri = Projet o-fied by Europe Uio withi Europe Soil Fud
21 Projet o-fied by Europe Uio withi Europe Soil Fud UNION dj =,,,, 8 ormliztio olums' z y - y umber. () K =, B = m m, (K B ) = m + m = = ( ) / m=,8 /m = ( + ) / m =,8 /m W =,8,8 =,8,8 ; v - y olum from W. (b) K =, B = m m m, =, m=, -+ - = =,98 =, =,7 v - y olum from,8,,,8,,8
ECE 102 Engineering Computation
ECE Egieerig Computtio Phillip Wog Mth Review Vetor Bsis Mtri Bsis System of Lier Equtios Summtio Symol is the symol for summtio. Emple: N k N... 9 k k k k k the, If e e e f e f k Vetor Bsis A vetor is
More informationIntroduction to Matrix Algebra
Itrodutio to Mtri Alger George H Olso, Ph D Dotorl Progrm i Edutiol Ledership Applhi Stte Uiversit Septemer Wht is mtri? Dimesios d order of mtri A p q dimesioed mtri is p (rows) q (olums) rr of umers,
More informationFREE Download Study Package from website: &
FREE Dolod Study Pkge from esite:.tekolsses.om &.MthsBySuhg.om Get Solutio of These Pkges & Ler y Video Tutorils o.mthsbysuhg.om SHORT REVISION. Defiitio : Retgulr rry of m umers. Ulike determits it hs
More informationStatistics for Financial Engineering Session 1: Linear Algebra Review March 18 th, 2006
Sttistics for Ficil Egieerig Sessio : Lier Algebr Review rch 8 th, 6 Topics Itroductio to trices trix opertios Determits d Crmer s rule Eigevlues d Eigevectors Quiz The cotet of Sessio my be fmilir to
More informationLesson 4 Linear Algebra
Lesso Lier Algebr A fmily of vectors is lierly idepedet if oe of them c be writte s lier combitio of fiitely my other vectors i the collectio. Cosider m lierly idepedet equtios i ukows:, +, +... +, +,
More informationHandout #2. Introduction to Matrix: Matrix operations & Geometric meaning
Hdout # Title: FAE Course: Eco 8/ Sprig/5 Istructor: Dr I-Mig Chiu Itroductio to Mtrix: Mtrix opertios & Geometric meig Mtrix: rectgulr rry of umers eclosed i pretheses or squre rckets It is covetiolly
More informationAddendum. Addendum. Vector Review. Department of Computer Science and Engineering 1-1
Addedum Addedum Vetor Review Deprtmet of Computer Siee d Egieerig - Coordite Systems Right hded oordite system Addedum y z Deprtmet of Computer Siee d Egieerig - -3 Deprtmet of Computer Siee d Egieerig
More informationChapter System of Equations
hpter 4.5 System of Equtios After redig th chpter, you should be ble to:. setup simulteous lier equtios i mtrix form d vice-vers,. uderstd the cocept of the iverse of mtrix, 3. kow the differece betwee
More informationCh. 12 Linear Bayesian Estimators
h. Lier Byesi stimtors Itrodutio I hpter we sw: the MMS estimtor tkes simple form whe d re joitly Gussi it is lier d used oly the st d d order momets (mes d ovries). Without the Gussi ssumptio, the Geerl
More informationSection 2.2. Matrix Multiplication
Mtri Alger Mtri Multiplitio Setio.. Mtri Multiplitio Mtri multiplitio is little more omplite th mtri itio or slr multiplitio. If A is the prout A of A is the ompute s follow: m mtri, the is k mtri, 9 m
More informationTaylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best
Tylor Polyomils Let f () = e d let p() = 1 + + 1 + 1 6 3 Without usig clcultor, evlute f (1) d p(1) Ok, I m still witig With little effort it is possible to evlute p(1) = 1 + 1 + 1 (144) + 6 1 (178) =
More information[ 20 ] 1. Inequality exists only between two real numbers (not complex numbers). 2. If a be any real number then one and only one of there hold.
[ 0 ]. Iequlity eists oly betwee two rel umbers (ot comple umbers).. If be y rel umber the oe d oly oe of there hold.. If, b 0 the b 0, b 0.. (i) b if b 0 (ii) (iii) (iv) b if b b if either b or b b if
More informationAutar Kaw Benjamin Rigsby. Transforming Numerical Methods Education for STEM Undergraduates
Autr Kw Bejmi Rigsby http://m.mthforcollege.com Trsformig Numericl Methods Eductio for STEM Udergrdutes http://m.mthforcollege.com . solve set of simulteous lier equtios usig Nïve Guss elimitio,. ler the
More informationBasic Maths. Fiorella Sgallari University of Bologna, Italy Faculty of Engineering Department of Mathematics - CIRAM
Bsic Mths Fiorell Sgllri Uiversity of Bolog, Itly Fculty of Egieerig Deprtmet of Mthemtics - CIRM Mtrices Specil mtrices Lier mps Trce Determits Rk Rge Null spce Sclr products Norms Mtri orms Positive
More informationLecture 2: Matrix Algebra
Lecture 2: Mtrix lgebr Geerl. mtrix, for our purpose, is rectgulr rry of objects or elemets. We will tke these elemets s beig rel umbers d idicte elemet by its row d colum positio. mtrix is the ordered
More informationMathematical Notations and Symbols xi. Contents: 1. Symbols. 2. Functions. 3. Set Notations. 4. Vectors and Matrices. 5. Constants and Numbers
Mthemticl Nottios d Symbols i MATHEMATICAL NOTATIONS AND SYMBOLS Cotets:. Symbols. Fuctios 3. Set Nottios 4. Vectors d Mtrices 5. Costts d Numbers ii Mthemticl Nottios d Symbols SYMBOLS = {,,3,... } set
More informationThe total number of permutations of S is n!. We denote the set of all permutations of S by
DETERMINNTS. DEFINITIONS Def: Let S {,,, } e the set of itegers from to, rrged i scedig order. rerrgemet jjj j of the elemets of S is clled permuttio of S. S. The totl umer of permuttios of S is!. We deote
More informationSection 7.3, Systems of Linear Algebraic Equations; Linear Independence, Eigenvalues, Eigenvectors (the variable vector of the system) and
Sec. 7., Boyce & DiPrim, p. Sectio 7., Systems of Lier Algeric Equtios; Lier Idepedece, Eigevlues, Eigevectors I. Systems of Lier Algeric Equtios.. We c represet the system...... usig mtrices d vectors
More informationElementary Linear Algebra
Elemetry Lier Alger Ato & Rorres, th Editio Lecture Set Chpter : Systems of Lier Equtios & Mtrices Chpter Cotets Itroductio to System of Lier Equtios Gussi Elimitio Mtrices d Mtri Opertios Iverses; Rules
More informationNotes 17 Sturm-Liouville Theory
ECE 638 Fll 017 Dvid R. Jckso Notes 17 Sturm-Liouville Theory Notes re from D. R. Wilto, Dept. of ECE 1 Secod-Order Lier Differetil Equtios (SOLDE) A SOLDE hs the form d y dy 0 1 p ( x) + p ( x) + p (
More informationFOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx),
FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES To -periodic fuctio f() we will ssocite trigoometric series + cos() + b si(), or i terms of the epoetil e i, series of the form c e i. Z For most of the
More informationCS 331 Design and Analysis of Algorithms. -- Divide and Conquer. Dr. Daisy Tang
CS 33 Desig d Alysis of Algorithms -- Divide d Coquer Dr. Disy Tg Divide-Ad-Coquer Geerl ide: Divide problem ito subproblems of the sme id; solve subproblems usig the sme pproh, d ombie prtil solutios,
More informationDETERMINANT. = 0. The expression a 1. is called a determinant of the second order, and is denoted by : y + c 1
NOD6 (\Dt\04\Kot\J-Advced\SMP\Mths\Uit#0\NG\Prt-\0.Determits\0.Theory.p65. INTRODUCTION : If the equtios x + b 0, x + b 0 re stisfied by the sme vlue of x, the b b 0. The expressio b b is clled determit
More informationInner Product Spaces (Chapter 5)
Ier Product Spces Chpter 5 I this chpter e ler out :.Orthogol ectors orthogol suspces orthogol mtrices orthogol ses. Proectios o ectors d o suspces Orthogol Suspces We ko he ectors re orthogol ut ht out
More informationEigenfunction Expansion. For a given function on the internal a x b the eigenfunction expansion of f(x):
Eigefuctio Epsio: For give fuctio o the iterl the eigefuctio epsio of f(): f ( ) cmm( ) m 1 Eigefuctio Epsio (Geerlized Fourier Series) To determie c s we multiply oth sides y Φ ()r() d itegrte: f ( )
More information1 4 6 is symmetric 3 SPECIAL MATRICES 3.1 SYMMETRIC MATRICES. Defn: A matrix A is symmetric if and only if A = A, i.e., a ij =a ji i, j. Example 3.1.
SPECIAL MATRICES SYMMETRIC MATRICES Def: A mtr A s symmetr f d oly f A A, e,, Emple A s symmetr Def: A mtr A s skew symmetr f d oly f A A, e,, Emple A s skew symmetr Remrks: If A s symmetr or skew symmetr,
More informationSurds, Indices, and Logarithms Radical
MAT 6 Surds, Idices, d Logrithms Rdicl Defiitio of the Rdicl For ll rel, y > 0, d ll itegers > 0, y if d oly if y where is the ide is the rdicl is the rdicd. Surds A umber which c be epressed s frctio
More information1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2
Mth 3, Clculus II Fil Exm Solutios. (5 poits) Use the limit defiitio of the defiite itegrl d the sum formuls to compute 3 x + x. Check your swer by usig the Fudmetl Theorem of Clculus. Solutio: The limit
More informationRiemann Integral Oct 31, such that
Riem Itegrl Ot 31, 2007 Itegrtio of Step Futios A prtitio P of [, ] is olletio {x k } k=0 suh tht = x 0 < x 1 < < x 1 < x =. More suitly, prtitio is fiite suset of [, ] otiig d. It is helpful to thik of
More informationUnit 1. Extending the Number System. 2 Jordan School District
Uit Etedig the Number System Jord School District Uit Cluster (N.RN. & N.RN.): Etedig Properties of Epoets Cluster : Etedig properties of epoets.. Defie rtiol epoets d eted the properties of iteger epoets
More informationBRILLIANT PUBLIC SCHOOL, SITAMARHI (Affiliated up to +2 level to C.B.S.E., New Delhi)
BRILLIANT PUBLIC SCHOOL, SITAMARHI (Affilited up to level to C.B.S.E., New Delhi) Clss-XII IIT-JEE Advced Mthemtics Study Pckge Sessio: -5 Office: Rjoptti, Dumr Rod, Sitmrhi (Bihr), Pi-8 Ph.66-5, Moile:966758,
More informationChapter 2. LOGARITHMS
Chpter. LOGARITHMS Dte: - 009 A. INTRODUCTION At the lst hpter, you hve studied bout Idies d Surds. Now you re omig to Logrithms. Logrithm is ivers of idies form. So Logrithms, Idies, d Surds hve strog
More informationz line a) Draw the single phase equivalent circuit. b) Calculate I BC.
ECE 2260 F 08 HW 7 prob 4 solutio EX: V gyb' b' b B V gyc' c' c C = 101 0 V = 1 + j0.2 Ω V gyb' = 101 120 V = 6 + j0. Ω V gyc' = 101 +120 V z LΔ = 9 j1.5 Ω ) Drw the sigle phse equivlet circuit. b) Clculte
More informationFast Fourier Transform 1) Legendre s Interpolation 2) Vandermonde Matrix 3) Roots of Unity 4) Polynomial Evaluation
Algorithm Desig d Alsis Victor Admchi CS 5-45 Sprig 4 Lecture 3 J 7, 4 Cregie Mello Uiversit Outlie Fst Fourier Trsform ) Legedre s Iterpoltio ) Vdermode Mtri 3) Roots of Uit 4) Polomil Evlutio Guss (777
More informationFrequency-domain Characteristics of Discrete-time LTI Systems
requecy-domi Chrcteristics of Discrete-time LTI Systems Prof. Siripog Potisuk LTI System descriptio Previous bsis fuctio: uit smple or DT impulse The iput sequece is represeted s lier combitio of shifted
More informationInfinite Series Sequences: terms nth term Listing Terms of a Sequence 2 n recursively defined n+1 Pattern Recognition for Sequences Ex:
Ifiite Series Sequeces: A sequece i defied s fuctio whose domi is the set of positive itegers. Usully it s esier to deote sequece i subscript form rther th fuctio ottio.,, 3, re the terms of the sequece
More informationWeek 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right:
Week 1 Notes: 1) Riem Sum Aim: Compute Are Uder Grph Suppose we wt to fid out the re of grph, like the oe o the right: We wt to kow the re of the red re. Here re some wys to pproximte the re: We cut the
More informationChapter 2 Infinite Series Page 1 of 9
Chpter Ifiite eries Pge of 9 Chpter : Ifiite eries ectio A Itroductio to Ifiite eries By the ed of this sectio you will be ble to uderstd wht is met by covergece d divergece of ifiite series recogise geometric
More informationLinear Programming. Preliminaries
Lier Progrmmig Prelimiries Optimiztio ethods: 3L Objectives To itroduce lier progrmmig problems (LPP To discuss the stdrd d coicl form of LPP To discuss elemetry opertio for lier set of equtios Optimiztio
More informationSM2H. Unit 2 Polynomials, Exponents, Radicals & Complex Numbers Notes. 3.1 Number Theory
SMH Uit Polyomils, Epoets, Rdicls & Comple Numbers Notes.1 Number Theory .1 Addig, Subtrctig, d Multiplyig Polyomils Notes Moomil: A epressio tht is umber, vrible, or umbers d vribles multiplied together.
More informationDiscrete Mathematics I Tutorial 12
Discrete Mthemtics I Tutoril Refer to Chpter 4., 4., 4.4. For ech of these sequeces fid recurrece reltio stisfied by this sequece. (The swers re ot uique becuse there re ifiitely my differet recurrece
More informationChapter Real Numbers
Chpter. - Rel Numbers Itegers: coutig umbers, zero, d the egtive of the coutig umbers. ex: {,-3, -, -,,,, 3, } Rtiol Numbers: quotiets of two itegers with ozero deomitor; termitig or repetig decimls. ex:
More informationMATH 104: INTRODUCTORY ANALYSIS SPRING 2009/10 PROBLEM SET 8 SOLUTIONS. and x i = a + i. i + n(n + 1)(2n + 1) + 2a. (b a)3 6n 2
MATH 104: INTRODUCTORY ANALYSIS SPRING 2009/10 PROBLEM SET 8 SOLUTIONS 6.9: Let f(x) { x 2 if x Q [, b], 0 if x (R \ Q) [, b], where > 0. Prove tht b. Solutio. Let P { x 0 < x 1 < < x b} be regulr prtitio
More informationM3P14 EXAMPLE SHEET 1 SOLUTIONS
M3P14 EXAMPLE SHEET 1 SOLUTIONS 1. Show tht for, b, d itegers, we hve (d, db) = d(, b). Sice (, b) divides both d b, d(, b) divides both d d db, d hece divides (d, db). O the other hd, there exist m d
More informationMTH 146 Class 16 Notes
MTH 46 Clss 6 Notes 0.4- Cotiued Motivtio: We ow cosider the rc legth of polr curve. Suppose we wish to fid the legth of polr curve curve i terms of prmetric equtios s: r f where b. We c view the cos si
More informationEXPONENTS AND LOGARITHMS
978--07-6- Mthemtis Stdrd Level for IB Diplom Eerpt EXPONENTS AND LOGARITHMS WHAT YOU NEED TO KNOW The rules of epoets: m = m+ m = m ( m ) = m m m = = () = The reltioship etwee epoets d rithms: = g where
More information( ) 2 3 ( ) I. Order of operations II. Scientific Notation. Simplify. Write answers in scientific notation. III.
Assessmet Ceter Elemetry Alger Study Guide for the ACCUPLACER (CPT) The followig smple questios re similr to the formt d otet of questios o the Aupler Elemetry Alger test. Reviewig these smples will give
More informationAccuplacer Elementary Algebra Study Guide
Testig Ceter Studet Suess Ceter Aupler Elemetry Alger Study Guide The followig smple questios re similr to the formt d otet of questios o the Aupler Elemetry Alger test. Reviewig these smples will give
More informationlecture 16: Introduction to Least Squares Approximation
97 lecture 16: Itroductio to Lest Squres Approximtio.4 Lest squres pproximtio The miimx criterio is ituitive objective for pproximtig fuctio. However, i my cses it is more ppelig (for both computtio d
More informationReference : Croft & Davison, Chapter 12, Blocks 1,2. A matrix ti is a rectangular array or block of numbers usually enclosed in brackets.
I MATRIX ALGEBRA INTRODUCTION TO MATRICES Referene : Croft & Dvison, Chpter, Blos, A mtri ti is retngulr rr or lo of numers usull enlosed in rets. A m n mtri hs m rows nd n olumns. Mtri Alger Pge If the
More informationNumerical Methods (CENG 2002) CHAPTER -III LINEAR ALGEBRAIC EQUATIONS. In this chapter, we will deal with the case of determining the values of x 1
Numericl Methods (CENG 00) CHAPTER -III LINEAR ALGEBRAIC EQUATIONS. Itroductio I this chpter, we will del with the cse of determiig the vlues of,,..., tht simulteously stisfy the set of equtios: f f...
More informationFor all Engineering Entrance Examinations held across India. Mathematics
For ll Egieerig Etrce Exmitios held cross Idi. JEE Mi Mthemtics Sliet Fetures Exhustive coverge of MCQs subtopic wise. 95 MCQs icludig questios from vrious competitive exms. Precise theory for every topic.
More informationProject 3: Using Identities to Rewrite Expressions
MAT 5 Projet 3: Usig Idetities to Rewrite Expressios Wldis I lger, equtios tht desrie properties or ptters re ofte lled idetities. Idetities desrie expressio e repled with equl or equivlet expressio tht
More informationVectors. Vectors in Plane ( 2
Vectors Vectors i Ple ( ) The ide bout vector is to represet directiol force Tht mes tht every vector should hve two compoets directio (directiol slope) d mgitude (the legth) I the ple we preset vector
More informationAbel Resummation, Regularization, Renormalization & Infinite Series
Prespcetime Jourl August 3 Volume 4 Issue 7 pp. 68-689 Moret, J. J. G., Abel Resummtio, Regulriztio, Reormliztio & Ifiite Series Abel Resummtio, Regulriztio, Reormliztio & Ifiite Series 68 Article Jose
More informationExponents and Radical
Expoets d Rdil Rule : If the root is eve d iside the rdil is egtive, the the swer is o rel umber, meig tht If is eve d is egtive, the Beuse rel umber multiplied eve times by itself will be lwys positive.
More informationSchrödinger Equation Via Laplace-Beltrami Operator
IOSR Jourl of Mthemtics (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volume 3, Issue 6 Ver. III (Nov. - Dec. 7), PP 9-95 www.iosrjourls.org Schrödiger Equtio Vi Lplce-Beltrmi Opertor Esi İ Eskitşçioğlu,
More informationSOLUTION OF SYSTEM OF LINEAR EQUATIONS. Lecture 4: (a) Jacobi's method. method (general). (b) Gauss Seidel method.
SOLUTION OF SYSTEM OF LINEAR EQUATIONS Lecture 4: () Jcobi's method. method (geerl). (b) Guss Seidel method. Jcobi s Method: Crl Gustv Jcob Jcobi (804-85) gve idirect method for fidig the solutio of system
More informationMATH 104: INTRODUCTORY ANALYSIS SPRING 2008/09 PROBLEM SET 10 SOLUTIONS. f m. and. f m = 0. and x i = a + i. a + i. a + n 2. n(n + 1) = a(b a) +
MATH 04: INTRODUCTORY ANALYSIS SPRING 008/09 PROBLEM SET 0 SOLUTIONS Throughout this problem set, B[, b] will deote the set of ll rel-vlued futios bouded o [, b], C[, b] the set of ll rel-vlued futios
More informationLincoln Land Community College Placement and Testing Office
Licol Ld Commuity College Plcemet d Testig Office Elemetry Algebr Study Guide for the ACCUPLACER (CPT) A totl of questios re dmiistered i this test. The first type ivolves opertios with itegers d rtiol
More information0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k.
. Computtio of Fourier Series I this sectio, we compute the Fourier coefficiets, f ( x) cos( x) b si( x) d b, i the Fourier series To do this, we eed the followig result o the orthogolity of the trigoometric
More information=> PARALLEL INTERCONNECTION. Basic Properties LTI Systems. The Commutative Property. Convolution. The Commutative Property. The Distributive Property
Lier Time-Ivrit Bsic Properties LTI The Commuttive Property The Distributive Property The Associtive Property Ti -6.4 / Chpter Covolutio y ] x ] ] x ]* ] x ] ] y] y ( t ) + x( τ ) h( t τ ) dτ x( t) * h(
More informationINTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)
Mthemtics Revisio Guides Itegrtig Trig, Log d Ep Fuctios Pge of MK HOME TUITION Mthemtics Revisio Guides Level: AS / A Level AQA : C Edecel: C OCR: C OCR MEI: C INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)
More informationReview of Sections
Review of Sectios.-.6 Mrch 24, 204 Abstrct This is the set of otes tht reviews the mi ides from Chpter coverig sequeces d series. The specific sectios tht we covered re s follows:.: Sequces..2: Series,
More informationMATRIX ALGEBRA, Systems Linear Equations
MATRIX ALGEBRA, Systes Lier Equtios Now we chge to the LINEAR ALGEBRA perspective o vectors d trices to reforulte systes of lier equtios. If you fid the discussio i ters of geerl d gets lost i geerlity,
More informationALGEBRA II CHAPTER 7 NOTES. Name
ALGEBRA II CHAPTER 7 NOTES Ne Algebr II 7. th Roots d Rtiol Expoets Tody I evlutig th roots of rel ubers usig both rdicl d rtiol expoet ottio. I successful tody whe I c evlute th roots. It is iportt for
More information1.3 Continuous Functions and Riemann Sums
mth riem sums, prt 0 Cotiuous Fuctios d Riem Sums I Exmple we sw tht lim Lower() = lim Upper() for the fuctio!! f (x) = + x o [0, ] This is o ccidet It is exmple of the followig theorem THEOREM Let f be
More informationA GENERAL METHOD FOR SOLVING ORDINARY DIFFERENTIAL EQUATIONS: THE FROBENIUS (OR SERIES) METHOD
Diol Bgoo () A GENERAL METHOD FOR SOLVING ORDINARY DIFFERENTIAL EQUATIONS: THE FROBENIUS (OR SERIES) METHOD I. Itroductio The first seprtio of vribles (see pplictios to Newto s equtios) is ver useful method
More informationALGEBRA. Set of Equations. have no solution 1 b1. Dependent system has infinitely many solutions
Qudrtic Equtios ALGEBRA Remider theorem: If f() is divided b( ), the remider is f(). Fctor theorem: If ( ) is fctor of f(), the f() = 0. Ivolutio d Evlutio ( + b) = + b + b ( b) = + b b ( + b) 3 = 3 +
More information2 Dirac delta function, modeling of impulse processes. 3 Sine integral function. Exponential integral function
Chpter VII Speil Futios Otober 7, 8 479 CHAPTER VII SPECIA FUNCTIONS Cotets: Heviside step futio, filter futio Dir delt futio, modelig of impulse proesses Sie itegrl futio 4 Error futio 5 Gmm futio E Epoetil
More informationDefinite Integral. The Left and Right Sums
Clculus Li Vs Defiite Itegrl. The Left d Right Sums The defiite itegrl rises from the questio of fidig the re betwee give curve d x-xis o itervl. The re uder curve c be esily clculted if the curve is give
More informationMatrix. Definition 1... a1 ... (i) where a. are real numbers. for i 1, 2,, m and j = 1, 2,, n (iii) A is called a square matrix if m n.
Mtrx Defto () s lled order of m mtrx, umer of rows ( 橫行 ) umer of olums ( 直列 ) m m m where j re rel umers () B j j for,,, m d j =,,, () s lled squre mtrx f m (v) s lled zero mtrx f (v) s lled detty mtrx
More informationSection 11.5 Notes Page Partial Fraction Decomposition. . You will get: +. Therefore we come to the following: x x
Setio Notes Pge Prtil Frtio Deompositio Suppose we were sked to write the followig s sigle frtio: We would eed to get ommo deomitors: You will get: Distributig o top will give you: 8 This simplifies to:
More information( a n ) converges or diverges.
Chpter Ifiite Series Pge of Sectio E Rtio Test Chpter : Ifiite Series By the ed of this sectio you will be ble to uderstd the proof of the rtio test test series for covergece by pplyig the rtio test pprecite
More informationContent: Essential Calculus, Early Transcendentals, James Stewart, 2007 Chapter 1: Functions and Limits., in a set B.
Review Sheet: Chpter Cotet: Essetil Clculus, Erly Trscedetls, Jmes Stewrt, 007 Chpter : Fuctios d Limits Cocepts, Defiitios, Lws, Theorems: A fuctio, f, is rule tht ssigs to ech elemet i set A ectly oe
More informationGRAPHING LINEAR EQUATIONS. Linear Equations. x l ( 3,1 ) _x-axis. Origin ( 0, 0 ) Slope = change in y change in x. Equation for l 1.
GRAPHING LINEAR EQUATIONS Qudrt II Qudrt I ORDERED PAIR: The first umer i the ordered pir is the -coordite d the secod umer i the ordered pir is the y-coordite. (, ) Origi ( 0, 0 ) _-is Lier Equtios Qudrt
More informationSolutions to Problem Set 7
8.0 Clculus Jso Strr Due by :00pm shrp Fll 005 Fridy, Dec., 005 Solutios to Problem Set 7 Lte homework policy. Lte work will be ccepted oly with medicl ote or for other Istitute pproved reso. Coopertio
More informationPhysics of Semiconductor Devices Vol.10
10-1 Vector Spce Physics of Semicoductor Devices Vol.10 Lier Algebr for Vector Alysis To prove Crmer s rule which ws used without proof, we expli the vector lgebr tht ws explied ituitively i Vol. 9, by
More informationMatrix Algebra Notes
Sectio About these otes These re otes o mtrix lgebr tht I hve writte up for use i differet courses tht I tech, to be prescribed either s refreshers, mi redig, supplemets, or bckgroud redigs. These courses
More informationChapter 7 Infinite Series
MA Ifiite Series Asst.Prof.Dr.Supree Liswdi Chpter 7 Ifiite Series Sectio 7. Sequece A sequece c be thought of s list of umbers writte i defiite order:,,...,,... 2 The umber is clled the first term, 2
More informationLinear Algebra. Lecture 1 September 19, 2011
Lier Algebr Lecture September 9, Outlie Course iformtio Motivtio Outlie of the course Wht is lier lgebr? Chpter. Systems of Lier Equtios. Solvig Lier Systems. Vectors d Mtrices Course iformtio Istructor:
More informationNumbers (Part I) -- Solutions
Ley College -- For AMATYC SML Mth Competitio Cochig Sessios v.., [/7/00] sme s /6/009 versio, with presettio improvemets Numbers Prt I) -- Solutios. The equtio b c 008 hs solutio i which, b, c re distict
More informationStudent Success Center Elementary Algebra Study Guide for the ACCUPLACER (CPT)
Studet Success Ceter Elemetry Algebr Study Guide for the ACCUPLACER (CPT) The followig smple questios re similr to the formt d cotet of questios o the Accuplcer Elemetry Algebr test. Reviewig these smples
More informationCertain sufficient conditions on N, p n, q n k summability of orthogonal series
Avilble olie t www.tjs.com J. Nolier Sci. Appl. 7 014, 7 77 Reserch Article Certi sufficiet coditios o N, p, k summbility of orthogol series Xhevt Z. Krsiqi Deprtmet of Mthemtics d Iformtics, Fculty of
More informationCH 19 SOLVING FORMULAS
1 CH 19 SOLVING FORMULAS INTRODUCTION S olvig equtios suh s 2 + 7 20 is oviousl the orerstoe of lger. But i siee, usiess, d omputers it is lso eessr to solve equtios tht might hve vriet of letters i them.
More informationThomas J. Osler Mathematics Department Rowan University Glassboro NJ Introduction
Ot 0 006 Euler s little summtio formul d speil vlues of te zet futio Toms J Osler temtis Deprtmet Row Uiversity Glssboro J 0608 Osler@rowedu Itrodutio I tis ote we preset elemetry metod of determiig vlues
More informationAlgebra II, Chapter 7. Homework 12/5/2016. Harding Charter Prep Dr. Michael T. Lewchuk. Section 7.1 nth roots and Rational Exponents
Algebr II, Chpter 7 Hrdig Chrter Prep 06-07 Dr. Michel T. Lewchuk Test scores re vilble olie. I will ot discuss the test. st retke opportuit Sturd Dec. If ou hve ot tke the test, it is our resposibilit
More informationLecture 3: A brief background to multivariate statistics
Lecture 3: A brief bckgroud to multivrite sttistics Uivrite versus multivrite sttistics The mteril of multivrite lysis Displyig multivrite dt The uses of multivrite sttistics A refresher of mtrix lgebr
More informationa f(x)dx is divergent.
Mth 250 Exm 2 review. Thursdy Mrh 5. Brig TI 30 lultor but NO NOTES. Emphsis o setios 5.5, 6., 6.2, 6.3, 3.7, 6.6, 8., 8.2, 8.3, prt of 8.4; HW- 2; Q-. Kow for trig futios tht 0.707 2/2 d 0.866 3/2. From
More informationAIEEE CBSE ENG A function f from the set of natural numbers to integers defined by
AIEEE CBSE ENG. A futio f from the set of turl umers to itegers defied y, whe is odd f (), whe is eve is (A) oe oe ut ot oto (B) oto ut ot oe oe (C) oe oe d oto oth (D) either oe oe or oto. Let z d z e
More informationUsing Quantum Mechanics in Simple Systems Chapter 15
/16/17 Qutiztio rises whe the loctio of prticle (here electro) is cofied to dimesiolly smll regio of spce qutum cofiemet. Usig Qutum Mechics i Simple Systems Chpter 15 The simplest system tht c be cosidered
More informationChapter 5. The Riemann Integral. 5.1 The Riemann integral Partitions and lower and upper integrals. Note: 1.5 lectures
Chpter 5 The Riem Itegrl 5.1 The Riem itegrl Note: 1.5 lectures We ow get to the fudmetl cocept of itegrtio. There is ofte cofusio mog studets of clculus betwee itegrl d tiderivtive. The itegrl is (iformlly)
More informationPROGRESSIONS AND SERIES
PROGRESSIONS AND SERIES A sequece is lso clled progressio. We ow study three importt types of sequeces: () The Arithmetic Progressio, () The Geometric Progressio, () The Hrmoic Progressio. Arithmetic Progressio.
More informationInverse Matrix. A meaning that matrix B is an inverse of matrix A.
Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix
More informationWe will begin by supplying the proof to (a).
(The solutios of problem re mostly from Jeffrey Mudrock s HWs) Problem 1. There re three sttemet from Exmple 5.4 i the textbook for which we will supply proofs. The sttemets re the followig: () The spce
More informationNumerical Methods. Lecture 5. Numerical integration. dr hab. inż. Katarzyna Zakrzewska, prof. AGH. Numerical Methods lecture 5 1
Numeril Methods Leture 5. Numeril itegrtio dr h. iż. Ktrzy Zkrzewsk, pro. AGH Numeril Methods leture 5 Outlie Trpezoidl rule Multi-segmet trpezoidl rule Rihrdso etrpoltio Romerg's method Simpso's rule
More informationM.A. (ECONOMICS) PART-I PAPER - III BASIC QUANTITATIVE METHODS
M.A. (ECONOMICS) PART-I BASIC QUANTITATIVE METHODS LESSON NO. 9 AUTHOR : SH. C.S. AGGARWAL MATRICES Mtrix lger eles oe to solve or hdle lrge system of simulteous equtios. Mtrices provide compct wy of writig
More informationCH 20 SOLVING FORMULAS
CH 20 SOLVING FORMULAS 179 Itrodutio S olvig equtios suh s 2 + 7 20 is oviousl the orerstoe of lger. But i siee, usiess, d omputers it is lso eessr to solve equtios tht might hve vriet of letters i them.
More informationSolutions to RSPL/1. log 3. When x = 1, t = 0 and when x = 3, t = log 3 = sin(log 3) 4. Given planes are 2x + y + 2z 8 = 0, i.e.
olutios to RPL/. < F < F< Applig C C + C, we get F < 5 F < F< F, $. f() *, < f( h) f( ) h Lf () lim lim lim h h " h h " h h " f( + h) f( ) h Rf () lim lim lim h h " h h " h h " Lf () Rf (). Hee, differetile
More informationEXERCISE a a a 5. + a 15 NEETIIT.COM
- Dowlod our droid App. Sigle choice Type Questios EXERCISE -. The first term of A.P. of cosecutive iteger is p +. The sum of (p + ) terms of this series c be expressed s () (p + ) () (p + ) (p + ) ()
More information