2. Differentiable Manifolds and Tensors

Size: px
Start display at page:

Download "2. Differentiable Manifolds and Tensors"

Transcription

1 . Dfferentable Manfolds and Tensors.1. Defnton of a Manfold.. The Sphere as a Manfold.3. Other Examples of Manfolds.4. Global Consderatons.5. Curves.6. Functons on M.7. Vectors and Vector Felds.8. Bass Vectors and Bass Vector Felds.9. Fber Bundles.10. Examples of Fber Bundles.11. A Deeper Look at Fber Bundles.1. Vector Felds and Integral Curves.13. Exponentaton of the Operator d d.14. Le Brackets and Noncoordnate Bases.15. When s a Bass a Coordnate Bass?.16. One-Forms.17. Examples of One-Forms.18. The Drac Delta Functon.19. The Gradent and the Pctoral Representaton of a One-Form.0. Bass One-Forms and Components of One-Forms.1. Index Notaton.. Tensors and Tensor Felds.3. Examples of Tensors.4. Components of Tensors and the Outer Product.5. Contracton.6. Bass Transformatons.7. Tensor Operatons on Components.8. Functons and Scalars.9. The Metrc Tensor on a Vector Space.30. The Metrc Tensor Feld on a Manfold.31. Specal Relatvty.3. Bblography

2 .1. Defnton of a Manfold Let R n be the set of all n-tuples of real numbers x 1,, x n. A set M of ponts s a (topologcal) manfold f each pont P n t has an open neghborhood U homeomorphc to some open set V n R n. becton (1-1 onto map) In other words, there s a b-contnuous 1 n :U V by P P x P,, x P for all P n M. The n numbers x P are called the coordnates of P and n s the dmenson of M. Thus, the topology of M s the same as R n locally. The par U, s called a chart, or a local coordnate system. An atlas on M s a set, of charts so that the domans U U covers M,.e., every P s n some U. For reasons of compatblty, an atlas of class k C 1 : U U U U (a) requres the maps to be maps of class k C. Note that s a map between open sets of R n. In 1 fact, t represents a coordnate transformaton for ponts n the overlap regon U U of two coordnate systems gven by and. A manfold wth an atlas of class k C s sad to be a k C manfold. Those wth k 1 are called dfferentable manfolds. For convenence, we shall deal only wth C or C manfolds.

3 .. The Sphere as a Manfold Consder the -sphere S 1 3 x x x a const whch conssts of the ponts n R 3 that satsfy Any suffcently small neghborhood of every pont P on S has a 1-1 map onto a regon n R. Such mappngs are n general nether angle- nor length- preservng. Consder now the map f : S R by a,, x 1, x, where a,, are the sphercal coordnates of a pont P wth Cartesan coordnates x 1, x, x 3 a sn cos, a sn sn, a cos For any small enough regon U on S, ths s a dffeomorphsm so that, can serve as coordnates for U. In fact, as long as U does not contan the arc A gven by Cartesan coordnates a sn,0, a cos wth 0,, s a good coordnate system. On the other hand, for 0,, of a sn,0, a cos under f. For 0, there are mages,,0, the mage of 0,0,a and under f s the entre lne x 1, x 0, n R. Thus, f s not defned on the arc A so that, cannot be a coordnate system for the entre S. By takng out the arc A from ts doman, the mage of f s a rectangular open regon n R gven by and 0 x. 1 0 x What these all mean s that S cannot be covered by a sngle chart: at least are needed. Of nterest s the stereographc map whch proects the sphere onto a plane tangent to t. Here, only a sngle pont fals to be covered by the map.

4 .3. Other Examples of Manfolds Roughly speakng, any set that can be parametrzed contnuously s a manfold. The number of ndependent parameters requred s the dmenson of the manfold. Some examples of manfolds are: 1. The set of all rotatons of a rgd body n 3-D space. The (contnuous) parameters are the three Euler angles.. The set of all (pure boost) Lorentz transformatons. The parameters are the three components of boost velocty. 3. The 6N-D phase space of N partcles n 3-D space. The parameters are the 3N poston and 3N momentum coordnates. 4. Gven m dependent varables y y and n ndependent ones x x 1,, m,, 1 n, the set of all ponts y,, y ; x,, x s a (m+n)-d manfold. Solutons to 1 m 1 some set of (algebrac of dfferental) equatons nvolvng these varables are surfaces n the manfold. 5. A vector space s a manfold wth the topology of R n. 6. A Le group s a C manfold so that the group operatons are C maps of the manfold nto tself. n

5 .4. Global Consderatons Snce every manfold s locally lke R n for some n, all manfolds of the same dmenson are locally ndstngushable. Hence, manfolds are classfed by ther global propertes, e.g., S and R. To be more precse, two manfolds are equvalent (belong to the same class) f there s a dffeomorphsm (b- C becton) between them.

6 .5. Curves A curve s a dfferentable mappng C from an open set of R nto M,.e., C : R M wth P x, 1,, n where s the parameter of the curve. Dfferentablty here means that x are dfferentable functons of. For convenence, we shall assume each mappng represents a unque curve. Thus, curves represented by dfferent mappngs are consdered as dfferent even though they may gve the same set of mage ponts n M.

7 .6. Functons on M A functon f on M s an assgnment of a real number f(p) to each pont P n M. Ths s denoted by f : M R wth P f P If a regon U M s mapped dfferentably onto some regon of R n wth, 1,, x, we can wrte 1,, n f P f x x f x P x n so that f s a functon on R n. If f s dfferentable n R n, we say f s dfferentable n M.

8 .7. Vectors and Vector Felds.7.1. Vectors as Tangents to Curves.7.. Vector Space at a Pont

9 .7.1. Vectors as Tangents to Curves Consder a curve C descrbed by x x n M. Let f x be a functon on M. For ponts on the curve, f can be taken as a functon of through g f x. Thus, dg f dx (.) d x d Snce ths holds for arbtrary g, we can wrte d dx d d x (.3) Now, n Eucldean space, Thus, f we treat e x dx d vector to the curve C() at pont are the components of a vector tangent to the curve C. as bass vectors, P. d d defned as the tangent to some curve n the manfold. can be dentfed as the tangent In fact, n dfferental geometry, a vector s Note that the essence of a vector s ts drecton, not the curve to whch t s tangent. Indeed, a vector s tangent to an nfnte number of curves passng through ts pont due to dfferent reasons. Frst, for a manfold of dmenson hgher than 1, there are nfntely many paths that can pass through a gven pont whle beng tangent to each other. Secondly, a gven path represents an nfnte number of curves va dfferent parametrzaton. As an example, consder the curve C() wth x a, where a are constants. Obvously, C passes through the orgn O when 0. Its tangent s d d a. Another curve C'() wth x b a x O when 0 Hence, d d. Its tangent s b a d d also passes through x, whch equals to d d at O. s tangent to dfferent curves at O. Next, we can re-parametrzed the 1 st 3 curve as x a, whch passes through O at 0 wth tangent

10 dx d 0 1 a 0 a.

11 .7.. Vector Space at a Pont It s straghtforward to verfy that the set of all tangent vectors at a pont P forms a vector space called the tangent space to M at P and denoted by T. For example, closure under addton and scalar multplcaton s proved as follows. Let d dx d d x d dx d d x P a b a b d d dx dx d d d d x ( a, b scalars ) Settng we have dx dx dx a b d d d d d dx a b d d d x d d so that the lnear combnaton of tangents s another tangent. Q.E.D. Note that the vector space defned above conssts only of tangents at the same pont n M. Thus, vectors at dfferent ponts are n dfferent vector spaces. In partcular, the subtracton of vectors located at dfferent ponts n M has no geometrcal meanng, whch s the root cause of complcatons n tensor analyss on a manfold. Fnally, we defne a vector feld as a rule for assgnng a vector at each pont of M.

12 .8. Bass Vectors and Bass Vector Felds As can be seen from the defnton (.3), the dmenson of M. Gven a coordnate system the coordnate bass of TP s the same as that of x for a neghborhood U of M, we call x T for all ponts n U. In general, we shall use an overbar P to denote a vector. For example, a general bass for TP s denoted by e. Thus, V V x V e where V s the component of V along e. If V s a vector feld, the components V and V are functons on M. In whch case, V s dfferentable f V are. In callng the set of vectors x a bass, we have mplctly assumed they are lnearly ndependent at a gven pont P. We shall show below that ths requres x to be a set of good coordnates,.e., t provdes a 1-1 map of some neghborhood U of P onto a regon of R n. To begn, consder a set of good coordnates can be wrtten as 1 n y y x,, x 1,, n y on U. The map from x By the nverse functon theorem, ths map s 1-1 and hence nvertble n U ff the to U Jacoban J det y x s non-vanshng. Ths means the set of n vectors V 1 n 1 n y y,, x x,, y y V,, n n n x x are lnearly ndependent. On the other hand, the chan rule gves n y x x y 1

13 so that V s ust the vector x expressed n the y bass. Hence, x are lnearly ndependent. Fnally, snce a 1-1 map of a set of good coordnates s another set of good coordnates, our asserton s proved.

14 .9. Fber Bundles The exact defnton of fbre bundles s rather nvolved [see, e.g., Y. Choquet-Bruhat et al, "Analyss, Manfolds and Physcs", nd ed., North-Holland (198)] and won't be ntroduced untl.11. Here, the basc concepts are presented usng as example the smple varety called tangent fbre bundles. Loosely speakng, a tangent fbre bundle s ust a manfold TM obtaned by attachng a tangent space T P to each pont of a manfold M. Here, M s called the base manfold and T P a typcal fbre. By defnton, dm(tm) dm(m) + dm(t P ).

15 .10. Examples of Fber Bundles 1. The tangent bundle TM. For an n-d manfold M, ts TM s n-d.. Tensor bundles wth tensor spaces as fbres. 3. Isospn bundles wth spacetme as manfold and sospn space as fbres. 4. Gallean spacetme wth tme as manfold and Eucldean space as fbres.

16 .11. A Deeper Look at Fber Bundles Global Propertes.11.. Formal Defnton of A Fbre Bundle

17 Global Propertes 1. Gven spaces M and N, there s a (Cartesan) product space MN consstng of all ordered pars a, b where a M and b N.. If M, N are topologcal spaces, so s MN. 3. An open set U M wth coordnates x ; 1,, m, taken together wth a n open set V N wth coordnates y ; 1,, n, becomes an open set U, V M N 1 1 wth m + n coordnates,, m n x x, y,, y. 4. In the formal defnton of a fbre bundle, what dstngushes the base M and the fbre T P s the exstence of a proectve (many-1) mappng T P M that maps every pont n T P to the pont P n M to whch T P s attached. 5. A fbre bundle s locally a product space U F : P where U s an open subset of the base manfold B and F s a typcal fbre. Ths means a fbre bundle s locally trval. 6. To be globally trval means that the entre bundle s a product space B F. Or, more generally, there exsts a C 1-1 map (dffeomorphsm) of the bundle onto B F. Wth a non-zero F, the nverse of ths map gves a no-where zero cross secton of the bundle. Hence, a necessary condton for global trvalty s the exstence of a no-where zero vector feld. 7. The tangent bundle TS of the -sphere S s globally non-trval. Accordng to the fxed pont theorem of the sphere, every C 1-1 map (dffeomorphsm) of S onto tself must leave at least 1 pont fxed. A no-where zero vector feld wll generate a map that has no fxed pont. Hence, TS cannot be globally trval. 8. The tangent bundle TS 1 of the crcle S 1 s the product space cylnder. Hence, t s globally trval. 1 S R, whch s a 9. The mobus strp s also a tangent bundle usng S 1 as base manfold and R as the 10.. typcal fbre. Locally, t s trval but globally, not.

18 .11.. Formal Defnton of A Fbre Bundle The global propertes of a fbre bundle are descrbed by ts structure group. a fbre bundle s formally defned as the quartet E, B,, G consstng of a base manfold B, a proecton : E B, a typcal fbre F, a structural group G of homeomorphsms of F onto tself, and a famly U that In fact, of open sets coverng B, such 1. E s locally trval. Ths means the bundle over any set U,.e., the nverse 1 mage U, s homeomorphc to the product space U 1 homeomorphsm : F. Ths U U F s of the form p p, h x, where p E, x p U B and : h x F F x whch maps the fbre F at x U to the typcal fbre F. x. The global propertes of the bundle s gven by the structural group G whose elements are the homeomorphsms k 1 : h x h x F F where x U Uk. 3. The nduced mappngs g : U U G k k by x g x h x h x k k are contnuous. They are called transton functons and satsfy g x g x g x k kl l

19 .1. Vector Felds and Integral Curves 1. A vector feld s a rule that selects a vector from the tangent vector space at each pont of M.. Consder a vector feld V P for P M we have V P v x dx d. Gven a coordnate system. The tangent vector to a curve v x (.5) x s gven by whch s ust a set of 1 st order ordnary dfferental equatons so that a unque soluton always exsts n some neghborhood around any gven pont. 3. Hence, gven a vector feld x, v x, a soluton, called an ntegral curve, of (.5) s a curve whose tangent s everywhere equal to the vector feld. 4. Unqueness of solutons means that dfferent ntegral curves never cross except possbly at ponts where v Thus, by udcal choce of ntal condtons, one can fnd a set of ntegral curves that flls up M. Such a set of curves s called a congruence.

20 .13. Exponentaton of the Operator d d Consder an analytc (C ) manfold M. The coordnates x of ponts along an ntegral curve of Y d are analytc functons of. Hence, ponts wth d parameters 0 and 0 + are related by the Taylor seres x dx 1 d x 0 x 0 d! d 0 0 d d 1! d d 1 x 0 d exp x d 0 (.6) d d The operator exp expy s called the exponentaton of the operator d d. As d d denotes an nfntesmal 'moton' along the curve, exp d d denotes a fnte moton.

21 .14. Le Brackets and Noncoordnate Bases Non-Coordnate Bass.14.. Exercse Le Brackets Le Algebras

22 Non-Coordnate Bass Gven a coordnate system x, the bass x s called a coordnate bass for the vector felds. One mportant characterstcs of a coordnate bass s that ts members commute,.e.,, 0 x x x x x x On the other hand, arbtrary vector feld need not commute. For example, let d V and d d W, we have d d d d d V, W d d d d, V W W V x x x x W V V V W W W V, x x x x x x x x, V x x x x W V W W V V W, x x x (.7) where U x U W V U V W x x Thus, the commutator of vectors are n general another vector. of non-commutatng vectors s called a non-coordnate bass. A bass consstng

23 .14.. Exercse.1 Consder the 'unt' bass vector felds for polar coordnates n the Eucldean plane defned by r cos x sn y cos x sn y θ sn x cos y sn cos x y Show that they form a non-coordnate bass.

24 Le Brackets When appled to vectors, the commutator s called a Le bracket. 1 Consder a -D subspace S of a manfold M descrbed by coordnates x, x. By defnton, x 1 s constant along the lnes of x, whch are ntegral curves of. x Ths s the reason why, 0 1 x x. Next, consder other arbtrary vector felds, d V and d d W, n S [see d Fg..0]. In general, can vary along an ntegral curve C() of V and can vary along an ntegral curve C() of W. Hence, V, W 0. As wll be show below, ths means and are not coordnates. Consder a pont P at the ntersecton of C() and C() wth respectve parameters and. [see Fg..1] If we move along C() by, we reach pont R wth coordnates d x R exp x P d Movng further along C() by, we reach pont A wth coordnates d d x A exp exp x P d d (.9) On the other hand, f we move frst along C() by, then along C() by, we reach pont B wth coordnates d d x B exp exp x P d d The dfference between the coordnates of A and B s (.10) d d d d exp, exp x B x A x P (.11) For nfntesmal, we have d d exp, exp d d d 1 d d 1 d 1,1 d d d d

25 d d, d d so that, x B x A V W x P (.1) Thus, the Le bracket V, W s proportonal to the dfference of the end ponts when one moves along the ntegral curves by the same amount but n dfferent order. Obvously, n order for and to be coordnates, we must have x B x A or V, W 0.

26 Le Algebras A Le algebra of vector felds on a regon U of a manfold M s a set A of vector felds on U such that 1. It s a vector space under addton.. It s closed under the Le bracket. Note that condton (1) means A s closed under lnear combnatons of vector felds wth constant coeffcents. Condton () means the Le bracket of vector felds s another vector feld.

27 .15. When s a Bass a Coordnate Bass? In.14, we have shown that the necessary condton for a bass to be a coordnate bass s that the Le brackets of every par of ts member vectors vansh. show n the followng that ths condton s also suffcent. To begn, consder a -D regon U of M. Startng from a pont P n U wth 1 coordnates x, x, we move frst a parameter dstance 1 along pont R, then 1 along d d Ths equaton defnes a map exp x Q 1 x R We shall d A to a d d B to a pont Q. The correspondng coordnates are d d d x d d by exp 1 exp1 U d d d d, x, exp exp x P Thus,, forms a coordnate system n U f the map (a) s 1-1,.e., f t has an nverse. It wll be shown later that ths requres A and B to be lnearly ndependent. Usng P (a) n n d d d d exp d d d n! d n n0 n n1 n d n 1 n 1! d n n1 n1 n1 n d d 1 1! d d exp d d we can dfferentate (a) to get x d d dx exp exp d d d d d P n n d n n d n0! d d x d d d exp exp x P d d d d d where P s the orgn of the coordnate system,. If, 0 d d, the nd equaton becomes x d d dx exp exp d d d P

28 Consder now the bass vectors we have x x and x x d d dx exp exp d d d x exp d d d exp d d d d P d Q where Q s the pont wth coordnates,. Smlarly, P d d Q Snce, d d s a coordnate bass, so s, d d. Q.E.D. To complete the proof, we need to show that the map (a) has an nverse. Accordng to the nverse functon theorem, the necessary and suffcent condton for ths s J x, x 1, x det x Ths s the case f the vectors B are ndependent. x x 1 1 and 0 are lnearly ndependent,.e., A and

29 .16. One-Forms A one-form s a lnear, real- or complex- valued functon of vectors. Thus, a 1-form at P s a mappng : TP by V V such that av bw a V b W a, b (.15) Defnng the addton and scalar multplcaton of 1-forms by a b V a V b V (.16) we see that the set of all 1-forms at P s a lnear space * TP dual to T P. The dualty s easly seen by rewrtng (.16) as V a b av bv (.17a) so that, combnng wth (.15), we have V V, V V, (.18) Each expresson n eq(.18) s called the contracton of wth V. In tensor analyss, 1-forms are called covarant vectors.

30 .17. Examples of One-Forms 1. Gradent of a functon.. In matrx algebra, column vectors correspond to vectors and row vectors to 1-forms. Contracton corresponds to matrx multplcaton wth row vectors always on the left. 3. In Hlbert spaces used n quantum mechancs, the Drac kets are vectors whle bras are 1-forms so that. Note that the assocaton of each vector wth another 1-form, called ts conugate or transpose, s equvalent to ntroducng a metrc, or nner product, to the vector space [see.9]

31 .18. The Drac Delta Functon As an example of functon spaces, consder the set C 1,1 of all C real-valued functons defned on the nterval x 1,1. Ths set s a group under addton and a lnear space wth multplcaton by real numbers as scalar multplcaton. The 1-forms n ts dual space are called dstrbutons. the Drac delta functon x wth any C functon f C 1,1 s a number f 0 x, f x f 0 (.19) One example of a dstrbuton s whch s defned as the 1-form whose contracton,.e., Thus, a dstrbuton s a "functon" whch maps functons to numbers. However, ths s not what Drac meant when he called x a delta "functon". To see the dstncton, we frst note that for any functon g C 1,1 g such that ts contracton wth any functon f C 1,1 1 1 g, f dx g x f x (.0), one can defne a 1-form s gven by The proof that g defned ths way s ndeed a 1-form s straghtforward. Now, what Drac meant as a delta functon s really the "functon" satsfes 1, f dx x f x f 0 1 x whose 1-form The problem s that one cannot defne x rgorously as a functon R R. 1 1 The specal rule used by Drac that x gves meanngful results only nsde an ntegral s ust an mplct statement that t s really a 1-form. "dervatve" of x defned by For example, the 1 1 dx ' x f x dx x f ' x f ' 0 1 1

32 s really the result of the dervatve of the 1-form.

33 .19. The Gradent and the Pctoral Representaton of a One-Form A feld of 1-forms s a rule assgnng a 1-form to each pont n M. The contracton wth a vector feld s ust the applcaton of (.16) to every pont n M. Furthermore, the coeffcents of lnear combnatons can be a functon on M. Treatng the contracton V as a functon n M, the dfferentablty of can be defned n terms of that of V and V. For example, f V and V are both C, so s. As wth vector felds, there s a fbre bundle called the cotangent bundle TM * and conssts of M as base and 1-form felds. * TP as typcal fbre. Cross-sectons of TM * are The best known example of 1-form feld s the gradent df of a functon f. It s defned as the 1-form whose contracton wth a tangent vector s the dervatve of f along the ntegral curve of that tangent,.e., d df df (.1) d d To see f df thus defned s ndeed a 1-form, we need only check on ts lnearty: d d d d df a b a b f d d d d [ by (.1) ] df df a b d d [lnearty of dfferentaton] d d a df b df d d For ponts wth nfntesmal coordnate dfferences f f x df x x x, we have Hence, a 1-form can be vewed as a seres of parallel planes whose separaton s nversely proportonal to the magntude of. The contracton V s the number of planes perced by V. Note that ths nterpretaton does not requre the noton of lengths or metrcs.

34 .0. Bass One-Forms and Components of One-Forms A bass e for P T nduces a dual bass for * TP so that Thus, e (.3) V V e V V (.) The lnear ndependence of follows mmedately from (.3). Alternatvely, t can be proved as follows. Consder an arbtrary 1-form q so that q V q V e V q e V qe (.4) where q q V (.7) q e (.5) are called the components of q on the bass dual to e. Note that (.4) can be wrtten as q V q V Snce ths s vald for arbtrary V, we have q q (.6) Snce q s arbtrary and the number of 1-forms n s equal to the dmenson of * T P, s ndeed a bass of * T P. Extenson of the foregong to 1-form felds s straghtforward. To summarze, gven a coordnate patch x on a regon U M, there s a natural bass x for vector felds and dx for 1-form felds wth

35 x x x dx (.8)

36 .1. Index Notaton Hereafter, we shall adopt the followng conventons for the use of ndces: 1. Components. Members e V for vectors V have superscrpt ndces. of a vector bass e are denoted by subscrpt ndces. 3. Components q for 1-forms q have superscrpt ndces. 4. Members e of a vector bass e are denoted by superscrpt ndces. 5. Ensten's summaton conventon: a par of repeated super- and sub-scrpts ndcates summaton, e.g. dx V V x V V dx V x V 6. Note that there s no summaton for q p. V W or

37 .. Tensors and Tensor Felds Consder a pont P n M. A tensor T of type (rank) lnear functon T : * N TP TP M M by 1 T N 1 N so that N M 1 1,, ;,,, ;, M V V V V 1 1 N 1 M T a b,,, ; V, V M N T N,, ; 1,,, ; 1, 1 M at P s defned to be a at V V b V V (.9) and smlarly for each argument. Here, super- and sub-scrpts n parentheses denote dfferent vectors and 1-forms, respectvely. to a tensor wthout specfyng ts arguments, e.g., S,, ; 3 1. A tensor feld s a rule to assgn a tensor to each pont n M. Blanks can be used f one wshes to refer denotes a tensor of type Lnearty (.9) then apples to each pont n M whle the coeffcents a and b can be functons on M. By 0 conventon, scalar functons are tensors of type 0. [see.8] Note that the expresson ; T denotes a 1-form and T ;V a vector. Hence, T ; can be thought of as a lnear vector-valued functon of vectors or a lnear 1-form-valued functon of 1-forms.

38 .3. Examples of Tensors 1. In matrx algebra, column vectors are vectors, row vectors are 1-forms, matrces 1 are 1 tensors, and smlarty transformatons of matrces are tensors. 1. In the functon space C 1,1, lnear dfferental operators are 1 tensors ) nto other vectors. snce they convert vectors (functons n C 1,1 3. A stress tensor gves the stress vector across a plane n a straned materal. Snce a plane (surface) s a 1-form, the stress tensor s a lnear vector-valued functon of 1-forms,.e., a 0 tensor.

39 .4. Components of Tensors and the Outer Product Gven vectors V two 1-forms p and q, and W, we can form a 0 tensor V W such that for any, V W p q V p W q (.30) Note that the lnearty of V W follows drectly from that of the vectors. The operaton s called the outer, the drect, or the tensor product. In general, the N N ' N N ' outer product of a M tensor wth a M ' tensor s a M M ' tensor. The components of a tensor are the values t takes when all the arguments are bass vectors and/or 1-forms. For example, n the bases of a type S 3 tensor S are S,, ; e, e (.31) k k lm l m and e, the components

40 .5. Contracton Accordng to.4, the drect product V V. The contracton V V Therefore, t s a scalar functon or s a 1 1 tensor wth components s a number ndependent of bass (see below). 0 0 tensor. In general, each contracton of a par of upper and lower ndces reduces the rank of the product tensor by 1 1. We shall show that the contracton of a 0 tensor A wth a 0 tensor B s ndependent of bass. To begn, let the componets of A and B be A and B n some bass. The contracton s then by ; k C V A B V k C V k A B k. Consder now the k 1 1 tensor defned Usng A, A, A k and Be, V Be, V ek B V k k we have ; V, e, V, e, V C A B A, B,V A B Thus, C s ndependent of bass, e used for A and B. Therefore, ts components C k A B k s also ndependent of, e.

41 .6. Bass Transformatons 1. Transformaton Matrx. Coordnate Transformatons

42 .6.1. Transformaton Matrx Consder the tensors defned at a pont P of M. The shft from one bass to another e ' ; ' 1,, n e ; 1,, n transformaton matrx so that e e (.3) ' ' can be accomplshed by a lnear Snce the mappng must be 1-1 onto, the matrx must be non-sngular. Note ' however that s not a tensor. The natural 1-form bass wth respect to e s gven by Thus, e (.3) e ' e e ' ' ' (.33) ' The nverse of ' s denoted as ' so that and ' ' (.34) k ' k ' ' ' Thus, (.33) gves ' (.35) ' ' ' e ' ' ' Therefore, the natural 1-form bass wth respect to e ' s (.36) ' ' Note that the transformaton matrx for 1-forms s the nverse of that for vectors. Some examples of the use of the transformaton matrx are V q ' k ' ' V ' V q ek ' q k ' e (.36) ' V k ' qe k ' q (.37)

43 .6.. Coordnate Transformatons Consder a regon U M wth coordnate system x ; 1,, n. Let ' y ; ' 1,, n be a new coordnaton system gven by ' f x ' ' y f x 1,, x n for ' 1,, n (.39) wth J y,, y 1' n ' 1 x,, x n ' y det 0 x By the chan rule, x y y x ' ' (.40) so that x ' (.41) ' y Smlarly, ' y x x y ' and ' ' x y x ' k ' k y k x x ' ' y (.4) x Note that the coordnate transformaton (.41-) satsfes x y y y ' k ' ' k ' k k ' (.43) ' y

44 .7. Tensor Operatons on Components Consder a tensor T wth components T n some bass. An operaton on T that result n another tensor s called a tensor operaton. Obvously, such operatons are ndependent of bass. Some examples are: 1. Addton:, A B A B wth A, B A B. Multplcaton by a constant: T at at 3. Outer product:,.. A B A B wth, k k A Bl A Bl 4. Contracton:, m m Ak Bl Ak Bl..

45 .8. Functons and Scalars A scalar functon s a functon on M whose value s ndependent of the choce of bass. For example, the contracton V s a scalar but the vector feld component 1 V P s not. On the other hand, we can defne a scalar functon f so that for every bass, f P always equals to the numercal value of the 1 st 1 component V P of the vector feld V P n one partcular bass. Thus, whether a functon s a scalar depends on ts nterpretaton, not ts numercal value.

46 .9. The Metrc Tensor on a Vector Space.9.1. Inner Products and Metrc Tensors.9.. Canoncal Forms.9.3. Characterstcs of Metrc Tensors.9.4. Rasng and Lowerng Indces

47 .9.1. Inner Products and Metrc Tensors An nner (dot) product s an operaton that maps real vectors to a real number,.e., such that : TP TP by,, 1. symmetrc: U, V V, U U V U V U V (.44).. Gven a bass e, the matrx g wth components g e, e e e g (.45) has an nverse. 0 Snce g maps vectors to a scalar, t s a tensor called the metrc tensor. A manfold wth a metrc for ts tangent spaces s called a Remannan manfold. If there exsts a bass such that g then the bass s called a Cartesan bass, the metrc a Eucldean metrc and the manfold a Eucldean space. We menton n passng that a metrc space s a topologcal space X wth a dstance functon d : X X by x, y d x, y for all ponts x, y X.

48 .9.. Canoncal Forms Under a change of bass, the metrc tensor transforms as g g (.46) ' ' ' ' In matrx form, Λ g Λths becomes T g ' (.47) where s a matrx wth the, ' element equals to ' and T s the transpose operaton. Note that s the ', ' element of 1. Snce s arbtrary, we can wrte t as Λ OD (.48) where O s orthogonal ( T 1 Λ OD D O DO T T T and (.47) becomes 1 T O O ) and D dagonal. Thus, 1 g ' DO g OD (.49) Now, snce g s real and symmetrc, t s normal. Therefore, there exsts an orthogonal transform that dagonalzes t. Settng O to be ths transform, we have 1 O g O gd dag g,, 1 gn where g are the egenvalues of g. Eq(.49) thus becomes g ' D gd D dag d,, 1 g1 dn gn (.50) Snce d 0, we can choose d so that d g g 1 g sgn 1. [ Note that g s nvertble so that g 0] In other words, there always exsts a bass so that g s dagonal wth elements 1. If dag 1,, 1,1,,1 g, t s sad to be n the canoncal form and the correspondng bass s called orthonormal. The trace ( sum of the dagonal elements ) of the canoncal metrc tensor s called the sgnature of the metrc. Note that the sgnature s nvarant under any smlarty transformatons.

49 .9.3. Characterstcs of Metrc Tensors The sgnature s a fundamental characterstcs of a metrc. For example, f g s postve- defnte, ts sgnature s whch must necessarly be Eucldean. n, where n s the dmenson of the vector space, If the egenvalues of g are of mxed sgns, the metrc s called ndefnte. One example s the Mnkowsk space wth canoncal form dag 1,1,1,1 η and sgnature +. Another mportant characterstcs of the metrc s the symmetry goup of the bass transformatons that leave t nvarant. For the Eucldean metrc, ths s the orthogonal group O n. For the Mnkowsk space, t s the Lorentz group O n 1,1 L n.

50 .9.4. Rasng and Lowerng Indces One mportant role of the metrc tensor s to serve as the transformaton between vector (upper ndex) and 1-form (lower ndex) components of a tensor. for a gven vector V, V V, (.54) s a 1-form called the dual of V. Snce g s nvertble, V s unque. Its component s gven by V V e V, e V e, e V e, e For example, V g g V whch can be vewed as the lowerng of the vector ndex of denote the components of the nverse of g by so that g V by g. We now g g k (.55) k we can rase ndex by g V g g V k k k V V k (.56) To summarze, we have V g V (.57) V g V (.58) Other examples are A g A k k (.59) A g A g g A k kl k k l (.60) k l A g g A kl (.61) Thus, n a metrc space, vectors and 1-forms are closely related. Thus, t s possble, and preferable, to refer to all tensors of type N M, where N M L, smply as tensors of order L. For example, all tensors of types 1 0 0, 1 and are order tensors.

51 Note that n a Eucldean space wth Cartesan bass, g and g so that V V,.e., there s no numercal dfference between vectors and 1-forms. However, ths s no longer the case f we shft to curvlnear coordnates. Fnally, for completeness, one should prove that g s a 0 as an exercse. tensor. Ths s left

52 .30. The Metrc Tensor Feld on a Manfold Metrc Tensor Feld.30.. Locally Flat Lengths

53 Metrc Tensor Feld A metrc feld s a rule to assgn a metrc tensor to every pont P n M. Once gven, t serves as metrc on TP and * T P. Furthermore, t also nduces other geometrc propertes lke lengths and curvatures nto the manfold. Further dscusson of ths wll be deferred to Chap 6. Here, we'll explore a few smple concepts. Frst, the feld should at least be contnuous. Ths means ts canoncal form must be a constant everywhere snce ts dagonal elements are all ntegers that cannot change contnuously. Thus, t s meanngful to speak of the sgnature of a metrc tensor feld. In general, to make take the canoncal form everywhere means usng dfferent bass transformatons for dfferent ponts. Moreover, ths transformaton feld may not be coordnaton transformatons. A notable excepton s the Eucldean space wth Cartesan coordnates so that g everywhere. However, even here only the Cartesan coordnates generate an orthonormal bass. For example, the polar coordnates r, n r generate an orthogonal bass, normalzed. The normalzed verson s not a coordnate bass. but t s not n

54 .30.. Locally Flat A C metrc tensor feld s locally flat n the sense that there s always a coordnate bass x for a neghborhood U about any pont P such that g P (canoncal form at P) 1. g. 0 k x P (canoncal form good approxmaton near P) 3. x k g l x P not necessarly zero. (canoncal form not necessarly substaned away from P)

55 Lengths The norm V of a vector V s defne as V V, V gv V If s postve-defnte, V s real and non-negatve. If s ndefnte, V s called a pseudo-norm. A vector V s called space-lke f V 0, tme-lke f V 0, and null f V 0. Note that null vectors are not necessarly the zero vector V 0. Consder a curve C() wth tangent V d d dx d x so that dx dx V, V g d d The length dl of an nfntesmal segment on C s defned by, dl dl V V d (.6) gdx dx If s postve-defnte, we can wrte dl V, V d (.63) gdx dx where dl s real and postve. If s ndefnte, the curves are classfed by the sgn of dl the same way as for vectors wth norm dl.

56 .31. Specal Relatvty 4 The manfold equpped wth a metrc of sgnature + s called the Mnkowsk space and serves as the spacetme manfold n specal relatvty. The canoncal form of s dag 1,1,1,1 η. The correspondng orthonormal bass can be provded by a class of global coordnate systems called Lorentz frames. Curves n the manfold are called wordlnes. The arc length of an nfntesmal segment of wordlne s an event nterval and defned by s x x x x x x (.66) c t x y z Snce s ndefnte, the norm t nduces s a pseudo-norm. vectors s gven by Inner product between V W V W (.68) In a Lorentz frame, the 1-form V dual to V s gven by V 0 0 V 0 V (.69a) for 1,,3 V V V (.69b) The vector gradent df of a functon f s defned as the vector dual to the (1-form) f gradent df dx. Thus, x so that f x df df f x df 0 0 f for 1,,3 x df

57 .3. Bblography

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner 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 information

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2 Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to

More information

Mathematical Preparations

Mathematical 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 information

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0 MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector

More information

APPENDIX A Some Linear Algebra

APPENDIX 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 information

9 Characteristic classes

9 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 information

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS

8.4 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 information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - 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 information

Affine and Riemannian Connections

Affine 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 information

Quantum Mechanics for Scientists and Engineers. David Miller

Quantum Mechanics for Scientists and Engineers. David Miller Quantum Mechancs for Scentsts and Engneers Davd Mller Types of lnear operators Types of lnear operators Blnear expanson of operators Blnear expanson of lnear operators We know that we can expand functons

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws

Representation theory and quantum mechanics tutorial Representation theory and quantum conservation laws Representaton theory and quantum mechancs tutoral Representaton theory and quantum conservaton laws Justn Campbell August 1, 2017 1 Generaltes on representaton theory 1.1 Let G GL m (R) be a real algebrac

More information

MEM 255 Introduction to Control Systems Review: Basics of Linear Algebra

MEM 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 information

More metrics on cartesian products

More 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 information

Affine transformations and convexity

Affine 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 information

From Biot-Savart Law to Divergence of B (1)

From 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 information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

COMPLEX 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 information

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space. Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +

More information

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS These are nformal notes whch cover some of the materal whch s not n the course book. The man purpose s to gve a number of nontrval examples

More information

SL n (F ) Equals its Own Derived Group

SL n (F ) Equals its Own Derived Group Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu

More information

The Feynman path integral

The Feynman path integral The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space

More information

Tensor Analysis. For orthogonal curvilinear coordinates, ˆ ˆ (98) Expanding the derivative, we have, ˆ. h q. . h q h q

Tensor 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 information

Canonical transformations

Canonical 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 information

Section 8.3 Polar Form of Complex Numbers

Section 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 information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

The Geometry of Logit and Probit

The Geometry of Logit and Probit The Geometry of Logt and Probt Ths short note s meant as a supplement to Chapters and 3 of Spatal Models of Parlamentary Votng and the notaton and reference to fgures n the text below s to those two chapters.

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

Math 396. Metric tensor on hypersurfaces

Math 396. Metric tensor on hypersurfaces Math 396. Metrc tensor on hypersurfaces 1. Motvaton Let U R n be a non-empty open subset and f : U R a C -functon. Let Γ U R be the graph of f. The closed subset Γ n U R proects homeomorphcally onto U

More information

Feb 14: Spatial analysis of data fields

Feb 14: Spatial analysis of data fields Feb 4: Spatal analyss of data felds Mappng rregularly sampled data onto a regular grd Many analyss technques for geophyscal data requre the data be located at regular ntervals n space and/or tme. hs s

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity

Week3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle

More information

7. Products and matrix elements

7. Products and matrix elements 7. Products and matrx elements 1 7. Products and matrx elements Based on the propertes of group representatons, a number of useful results can be derved. Consder a vector space V wth an nner product ψ

More information

CHAPTER 5: Lie Differentiation and Angular Momentum

CHAPTER 5: Lie Differentiation and Angular Momentum CHAPTER 5: Le Dfferentaton and Angular Momentum Jose G. Vargas 1 Le dfferentaton Kähler s theory of angular momentum s a specalzaton of hs approach to Le dfferentaton. We could deal wth the former drectly,

More information

(δr i ) 2. V i. r i 2,

(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 information

χ 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

χ 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 information

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system.

= = = (a) Use the MATLAB command rref to solve the system. (b) Let A be the coefficient matrix and B be the right-hand side of the system. Chapter Matlab Exercses Chapter Matlab Exercses. Consder the lnear system of Example n Secton.. x x x y z y y z (a) Use the MATLAB command rref to solve the system. (b) Let A be the coeffcent matrx and

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC 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 information

A Quantum Gauss-Bonnet Theorem

A 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 information

332600_08_1.qxp 4/17/08 11:29 AM Page 481

332600_08_1.qxp 4/17/08 11:29 AM Page 481 336_8_.qxp 4/7/8 :9 AM Page 48 8 Complex Vector Spaces 8. Complex Numbers 8. Conjugates and Dvson of Complex Numbers 8.3 Polar Form and DeMovre s Theorem 8.4 Complex Vector Spaces and Inner Products 8.5

More information

PHYS 705: Classical Mechanics. Newtonian Mechanics

PHYS 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 information

Georgia Tech PHYS 6124 Mathematical Methods of Physics I

Georgia 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 information

1 Matrix representations of canonical matrices

1 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

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017 U.C. Berkeley CS94: Beyond Worst-Case Analyss Handout 4s Luca Trevsan September 5, 07 Summary of Lecture 4 In whch we ntroduce semdefnte programmng and apply t to Max Cut. Semdefnte Programmng Recall that

More information

PHYS 705: Classical Mechanics. Canonical Transformation II

PHYS 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 information

Quantum Mechanics I - Session 4

Quantum 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 information

CS 468 Lecture 16: Isometry Invariance and Spectral Techniques

CS 468 Lecture 16: Isometry Invariance and Spectral Techniques CS 468 Lecture 16: Isometry Invarance and Spectral Technques Justn Solomon Scrbe: Evan Gawlk Introducton. In geometry processng, t s often desrable to characterze the shape of an object n a manner that

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure 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 information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS 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 information

Poisson brackets and canonical transformations

Poisson 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 information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

Formulas for the Determinant

Formulas 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 information

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0

Bezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0 Bezer curves Mchael S. Floater August 25, 211 These notes provde an ntroducton to Bezer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of the

More information

DIFFERENTIAL FORMS BRIAN OSSERMAN

DIFFERENTIAL FORMS BRIAN OSSERMAN DIFFERENTIAL FORMS BRIAN OSSERMAN Dfferentals are an mportant topc n algebrac geometry, allowng the use of some classcal geometrc arguments n the context of varetes over any feld. We wll use them to defne

More information

Advanced Quantum Mechanics

Advanced Quantum Mechanics Advanced Quantum Mechancs Rajdeep Sensarma! sensarma@theory.tfr.res.n ecture #9 QM of Relatvstc Partcles Recap of ast Class Scalar Felds and orentz nvarant actons Complex Scalar Feld and Charge conjugaton

More information

2 More examples with details

2 More examples with details Physcs 129b Lecture 3 Caltech, 01/15/19 2 More examples wth detals 2.3 The permutaton group n = 4 S 4 contans 4! = 24 elements. One s the dentty e. Sx of them are exchange of two objects (, j) ( to j and

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

NUMERICAL DIFFERENTIATION

NUMERICAL DIFFERENTIATION NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the

More information

R n α. . The funny symbol indicates DISJOINT union. Define an equivalence relation on this disjoint union by declaring v α R n α, and v β R n β

R n α. . The funny symbol indicates DISJOINT union. Define an equivalence relation on this disjoint union by declaring v α R n α, and v β R n β Readng. Ch. 3 of Lee. Warner. M s an abstract manfold. We have defned the tangent space to M va curves. We are gong to gve two other defntons. All three are used n the subject and one freely swtches back

More information

are called the contravariant components of the vector a and the a i are called the covariant components of the vector a.

are 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 information

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN FINITELY-GENERTED MODULES OVER PRINCIPL IDEL DOMIN EMMNUEL KOWLSKI Throughout ths note, s a prncpal deal doman. We recall the classfcaton theorem: Theorem 1. Let M be a fntely-generated -module. (1) There

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

Lecture 3: Probability Distributions

Lecture 3: Probability Distributions Lecture 3: Probablty Dstrbutons Random Varables Let us begn by defnng a sample space as a set of outcomes from an experment. We denote ths by S. A random varable s a functon whch maps outcomes nto the

More information

Causal Diamonds. M. Aghili, L. Bombelli, B. Pilgrim

Causal Diamonds. M. Aghili, L. Bombelli, B. Pilgrim Causal Damonds M. Aghl, L. Bombell, B. Plgrm Introducton The correcton to volume of a causal nterval due to curvature of spacetme has been done by Myrhem [] and recently by Gbbons & Solodukhn [] and later

More information

1 Vectors over the complex numbers

1 Vectors over the complex numbers Vectors for quantum mechancs 1 D. E. Soper 2 Unversty of Oregon 5 October 2011 I offer here some background for Chapter 1 of J. J. Sakura, Modern Quantum Mechancs. 1 Vectors over the complex numbers What

More information

763622S ADVANCED QUANTUM MECHANICS Solution Set 1 Spring c n a n. c n 2 = 1.

763622S 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 information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

Lagrangian Field Theory

Lagrangian 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 information

Lorentz Group. Ling Fong Li. 1 Lorentz group Generators Simple representations... 3

Lorentz 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 information

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION

SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION talan journal of pure appled mathematcs n. 33 2014 (63 70) 63 SUPER PRINCIPAL FIBER BUNDLE WITH SUPER ACTION M.R. Farhangdoost Department of Mathematcs College of Scences Shraz Unversty Shraz, 71457-44776

More information

5 The Rational Canonical Form

5 The Rational Canonical Form 5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces

More information

REAL ANALYSIS I HOMEWORK 1

REAL ANALYSIS I HOMEWORK 1 REAL ANALYSIS I HOMEWORK CİHAN BAHRAN The questons are from Tao s text. Exercse 0.0.. If (x α ) α A s a collecton of numbers x α [0, + ] such that x α

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

THEOREMS OF QUANTUM MECHANICS

THEOREMS 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 information

Physics 181. Particle Systems

Physics 181. Particle Systems Physcs 181 Partcle Systems Overvew In these notes we dscuss the varables approprate to the descrpton of systems of partcles, ther defntons, ther relatons, and ther conservatons laws. We consder a system

More information

Three views of mechanics

Three views of mechanics Three vews of mechancs John Hubbard, n L. Gross s course February 1, 211 1 Introducton A mechancal system s manfold wth a Remannan metrc K : T M R called knetc energy and a functon V : M R called potental

More information

Random Walks on Digraphs

Random Walks on Digraphs Random Walks on Dgraphs J. J. P. Veerman October 23, 27 Introducton Let V = {, n} be a vertex set and S a non-negatve row-stochastc matrx (.e. rows sum to ). V and S defne a dgraph G = G(V, S) and a drected

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

CHAPTER 14 GENERAL PERTURBATION THEORY

CHAPTER 14 GENERAL PERTURBATION THEORY CHAPTER 4 GENERAL PERTURBATION THEORY 4 Introducton A partcle n orbt around a pont mass or a sphercally symmetrc mass dstrbuton s movng n a gravtatonal potental of the form GM / r In ths potental t moves

More information

A how to guide to second quantization method.

A 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 information

INVARIANT STABLY COMPLEX STRUCTURES ON TOPOLOGICAL TORIC MANIFOLDS

INVARIANT STABLY COMPLEX STRUCTURES ON TOPOLOGICAL TORIC MANIFOLDS INVARIANT STABLY COMPLEX STRUCTURES ON TOPOLOGICAL TORIC MANIFOLDS HIROAKI ISHIDA Abstract We show that any (C ) n -nvarant stably complex structure on a topologcal torc manfold of dmenson 2n s ntegrable

More information

Homework Notes Week 7

Homework 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 information

Lecture 6/7 (February 10/12, 2014) DIRAC EQUATION. The non-relativistic Schrödinger equation was obtained by noting that the Hamiltonian 2

Lecture 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 information

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0

Bézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0 Bézer curves Mchael S. Floater September 1, 215 These notes provde an ntroducton to Bézer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of

More information

where a is any ideal of R. Lemma 5.4. Let R be a ring. Then X = Spec R is a topological space Moreover the open sets

where a is any ideal of R. Lemma 5.4. Let R be a ring. Then X = Spec R is a topological space Moreover the open sets 5. Schemes To defne schemes, just as wth algebrac varetes, the dea s to frst defne what an affne scheme s, and then realse an arbtrary scheme, as somethng whch s locally an affne scheme. The defnton of

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information

EPR Paradox and the Physical Meaning of an Experiment in Quantum Mechanics. Vesselin C. Noninski

EPR Paradox and the Physical Meaning of an Experiment in Quantum Mechanics. Vesselin C. Noninski EPR Paradox and the Physcal Meanng of an Experment n Quantum Mechancs Vesseln C Nonnsk vesselnnonnsk@verzonnet Abstract It s shown that there s one purely determnstc outcome when measurement s made on

More information

Report on Image warping

Report on Image warping Report on Image warpng Xuan Ne, Dec. 20, 2004 Ths document summarzed the algorthms of our mage warpng soluton for further study, and there s a detaled descrpton about the mplementaton of these algorthms.

More information

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model

Prof. Dr. I. Nasser Phys 630, T Aug-15 One_dimensional_Ising_Model EXACT OE-DIMESIOAL ISIG MODEL The one-dmensonal Isng model conssts of a chan of spns, each spn nteractng only wth ts two nearest neghbors. The smple Isng problem n one dmenson can be solved drectly n several

More information

The equation of motion of a dynamical system is given by a set of differential equations. That is (1)

The equation of motion of a dynamical system is given by a set of differential equations. That is (1) Dynamcal Systems Many engneerng and natural systems are dynamcal systems. For example a pendulum s a dynamcal system. State l The state of the dynamcal system specfes t condtons. For a pendulum n the absence

More information

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force.

A particle in a state of uniform motion remain in that state of motion unless acted upon by external force. The fundamental prncples of classcal mechancs were lad down by Galleo and Newton n the 16th and 17th centures. In 1686, Newton wrote the Prncpa where he gave us three laws of moton, one law of gravty,

More information

Exercise Solutions to Real Analysis

Exercise Solutions to Real Analysis xercse Solutons to Real Analyss Note: References refer to H. L. Royden, Real Analyss xersze 1. Gven any set A any ɛ > 0, there s an open set O such that A O m O m A + ɛ. Soluton 1. If m A =, then there

More information

10-801: Advanced Optimization and Randomized Methods Lecture 2: Convex functions (Jan 15, 2014)

10-801: Advanced Optimization and Randomized Methods Lecture 2: Convex functions (Jan 15, 2014) 0-80: Advanced Optmzaton and Randomzed Methods Lecture : Convex functons (Jan 5, 04) Lecturer: Suvrt Sra Addr: Carnege Mellon Unversty, Sprng 04 Scrbes: Avnava Dubey, Ahmed Hefny Dsclamer: These notes

More information

Composite Hypotheses testing

Composite Hypotheses testing Composte ypotheses testng In many hypothess testng problems there are many possble dstrbutons that can occur under each of the hypotheses. The output of the source s a set of parameters (ponts n a parameter

More information

This model contains two bonds per unit cell (one along the x-direction and the other along y). So we can rewrite the Hamiltonian as:

This model contains two bonds per unit cell (one along the x-direction and the other along y). So we can rewrite the Hamiltonian as: 1 Problem set #1 1.1. A one-band model on a square lattce Fg. 1 Consder a square lattce wth only nearest-neghbor hoppngs (as shown n the fgure above): H t, j a a j (1.1) where,j stands for nearest neghbors

More information

Spectral Graph Theory and its Applications September 16, Lecture 5

Spectral Graph Theory and its Applications September 16, Lecture 5 Spectral Graph Theory and ts Applcatons September 16, 2004 Lecturer: Danel A. Spelman Lecture 5 5.1 Introducton In ths lecture, we wll prove the followng theorem: Theorem 5.1.1. Let G be a planar graph

More information

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness.

20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The first idea is connectedness. 20. Mon, Oct. 13 What we have done so far corresponds roughly to Chapters 2 & 3 of Lee. Now we turn to Chapter 4. The frst dea s connectedness. Essentally, we want to say that a space cannot be decomposed

More information

Orthogonal Functions and Fourier Series. University of Texas at Austin CS384G - Computer Graphics Spring 2010 Don Fussell

Orthogonal Functions and Fourier Series. University of Texas at Austin CS384G - Computer Graphics Spring 2010 Don Fussell Orthogonal Functons and Fourer Seres Vector Spaces Set of ectors Closed under the followng operatons Vector addton: 1 + 2 = 3 Scalar multplcaton: s 1 = 2 Lnear combnatons: Scalars come from some feld F

More information

CSCE 790S Background Results

CSCE 790S Background Results CSCE 790S Background Results Stephen A. Fenner September 8, 011 Abstract These results are background to the course CSCE 790S/CSCE 790B, Quantum Computaton and Informaton (Sprng 007 and Fall 011). Each

More information

SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION

SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION SPECTRAL PROPERTIES OF IMAGE MEASURES UNDER THE INFINITE CONFLICT INTERACTION SERGIO ALBEVERIO 1,2,3,4, VOLODYMYR KOSHMANENKO 5, MYKOLA PRATSIOVYTYI 6, GRYGORIY TORBIN 7 Abstract. We ntroduce the conflct

More information