Elementary Processes. Chapter 5

Size: px
Start display at page:

Download "Elementary Processes. Chapter 5"

Transcription

1 Chapter 5 Elementary Processes We want to extend the prevous dscusson to the case where felds nteract among themselves, rather than wth an external source. The am s to gve an expresson for the S-matrx n terms of n felds, as before. We wll see that ut s convenent to express the matrx elements of S n terms of Green s functons, that s, vacuum expectaton values of tme-ordered products of elementary felds, as n h0 T (x ) (x n ) 0. As before the S matrx connects n states to out states, out = S n, and correspondngly n felds to out felds. But we can no longer say that (x)! n(x) as t! (nor (x)! out (x) as t! +) wth n,out (x) freefelds(a free feld s one wthout nteractons, e.g., t satsfes the KG equaton). Before we explan that n more detal let us better understand the role of n states (and n felds). In a collson process we start wth partcles that are wldly separated, so nteractons between them can be ntally neglected. As partcles approach each other the nteractons can no longer be neglected, they turn on. So one could thnk of the stuaton by replacng H 0 (the nteracton part of the Hamltonan) by f(t)h 0, where f(t) s a smooth functon that turns on slowly (adabatcally), then stays on for some long perod over whch the collson takes place, say, f(t) = for T < t < T, and then turns o slowly agan, f(t) =0 t >T 0 and f(t) smoothly decreasng (ncreasng) n T<t<T 0 ( T 0 <t< T ): f(t) T 0 T T T 0 t We want both T and T 0 to be arbtrarly large, and we want T 0 T n the 76

2 77 process to avod sudden changes that can ntroduce extraneous e ects, e.g., par producton. We wll use ths model, but t s not qute general enough. The reason s that f the nteracton s turned o we may not be able to descrbe n and out states of nterest, namely, bound states that arse because of the nteracton. For example, we may want to study collsons of an electron wth an H atom due to electromagnetc nteractons. But t s the electromagnetc nteractons that bnds a p and an e nto an H atom. More pognant s the case of collsons of protons by the strong nteractons when t s these nteractons that keeps quarks bound n protons. The dea of collson theory s that oen can set up a muck theory of free partcles that happen to have the same mass (and other quantum numbers, e.g., spn) as the bound states. These are the n and out states. For very early (or late) tmes these states descrbe the evoluton of the partcles that later (earler) partcpate n the collson. And the S-matrx uses nformaton n the nteractng theory to connect the pre- and post-collson states. For theores wthout bound states we can use the smpler approxmaton of turnng on and o the nteracton va f(t)h 0. Remarkably the expresson for the S-matrx obtaned va ths smplfed treatment s the same as n a more complete and rgorous analyss that does not employ t. If we adabatcally turn on and o the nteractons then we can use our prevous approach: (x) = n (x)+ d 4 yg ret (x y)j(y) (5.) But now (@ 2 + m 2 ) = (e.g., f L 0 = g then =3g ). So for J(x) usef(t) Note that n the absence of f(t) ths would not work, the source would not be localzed n tme. Now, we had two ways of obtanng the S-matrx from ths. One was S n(x)s = n (x)+ d 4 y [ n(x), n(y)]j(y). But now J(y) depends on (x) so t does not commute wth n (x). Ths makes t harder to solve for S usng ths method. The second method used = U (t) n (x)u(t) and constructed U(t) nterms of H 0. Ths wll work. The result was, and stll s, apple S = T exp d 4 x L 0 n whch we can use, but now wth, say, L 0 n = g 3 n + 4 n. However, the above dscusson has to be modfed, as we wll see shortly, because n general one cannot take (x)! n (x) as t!.

3 78 CHAPTER 5. ELEMENTARY PROCESSES 5. Källen-Lehmann Spectral Representaton Here we wll see that we cannot take (x)! n (x) as t!. We study [ (x), (y)] and compare wth [ n(x), n(y)]. In partcular, h0 [ (x), (y)] 0 = X (h0 (x) nhn (y) 0 x $ y) n Now h0 (x) n = h0 e ˆP x (0)e ˆP x n = e pn x h0 (0) n where ˆP µ n = p µ n n, ˆP µ 0 = 0, and h0 [ (x), (y)] 0 = X e pn (x y) h0 (0) nhn (0) 0 x $ y n = X d 4 k (4) (p n k) e k (x y) e k (x y) h0 (0) n 2 n d 4 k = (2 ) 3 e k (x y) e k (x y) (k) where n gong from the frst to the second lne we ntroduce a factor of = R d 4 k (4) (p n k) and n the last lne we defned (k) X n (2 ) 3 (4) (p n k) h0 (0) n 2 = (k 2 ) (k 0 ). The last equalty follows from () Lorentz nvarance and () p 0 n > 0. Now compare ths wth the case of free felds. We have computed ths, but t s easy to derve from above: n s only the one partcle states ~p, PR n s R (dp), and h0 n(0) ~p = (dk)h0 ~k ~p 0 =. Then (k) = (dp)(2 ) 3 (4) (p k) = d 4 p (p 0 ) (p 2 m 2 ) (4) (p k) = (k 0 ) (k 2 m 2 ), and h0 [ n(x), n(y)] 0 = d 4 k (2 ) 3 (k0 ) (k 2 m 2 ) = e k (x y) k (x e y) d 4 k (2 ) 3 "(k0 ) (k 2 m 2 )e k (x y) (x y; m)

4 5.. KÄLLEN-LEHMANN SPECTRAL REPRESENTATION 79 Hence h0 [ (x), (y)] 0 = or = d 4 k (2 ) 3 h0 [ (x), d 4 k (2 ) 3 (k 2 )"(k 0 )e 0 = k (x y) d m 2 (k 2 m 2 ) (k 2 )"(k 0 )e 0 (y)] 0 = d m 2 ( m 2 ) 0 k (x y) d 4 k (2 ) 3 "(k0 ) (k 2 m 2 )e k (x y) d m 2 (m 2 ) (x y; m) (5.2) Ths s the Källen-Lehmann representaton. Now we separate the contrbutons to of -partcle states from 2-partcles states. We wll assume that p 0 M > m for 2-partcle states. For two free partcles p 0 2m. If nteractng we expect p 0 2m " where " s some nteracton energy; we are assumng "<m. If we had ">mthen the 2-partcle energy would be smaller than m and the -partcle state s not a state because t can decay nto a lower energy state. Then, f n fact we could demand (x)! n (x) as t! we should have h0 (0) ~p =? h0 n(0) ~p =, and therefore Ths s llustrated n the followng fgure: ( m 2 )? = (m 2 m 2 )+ ( m 2 ) ( m M). (5.3) m 2 M 2 m 2 Insertng (5.3) n (5.2) gves h0 [ (x), (y)] 0? = (x y; m)+ M 2 d m 2 (m 2 ) (x y; m). 0 of ths, and then the lmt y 0! x 0 we obtan on the left hand sde the equal tme commutator [ (x), (y)] = (3) (~x ~y ). Then note that on the rght hand we can do ths agan snce (x y; m) = h0 [ n(x), n(y)] 0. Ths gves =+? d m 2 ( m 2 ) M 2

5 80 CHAPTER 5. ELEMENTARY PROCESSES If ths equaton holds then ( m 2 ) = 0 for m>m. That s ( m 2 )= ( m 2 m 2 ), whch means h0 (0) n = 0 for any state n whch has 2 partcles. Ths then gves (x) = n (x) for all tmes whch makes (x) a free feld. We conclude that we cannot demand (x)! n (x) as t!. Assume nstead Then, repeatng the steps above, (x)! 2 n(x) as t! = + M 2 d m 2 ( m 2 ) so that >0requres0apple< (that 0 s from t beng ( 2 ) 2 ). Smlarly, we assume (x)! 2 out(x) as t! +. We conclude the secton wth some useful observatons. Unqueness of the vacuum state gves 0 out = 0 n = 0. (In prncple one can have a relatve phase, 0 out = e 0 n but we conventonally set = 0). Snce we are assumng the -partcle states are stable, they are egenstates of the Hamltonan, so they evolve smply, by a phase, e Et. Hence ~ k out = ~ k n (up to a constant phase that we conventonally set to zero). Now h0 (x) ~ k = h0 (0) ~ k e k x so that the prescrpton to evaluate at t! n order to compare wth the correspondng expectaton value of n(x) s superfluous, and smlarly for t!and expectaton values of out(x). So we have h0 (x) ~ k = 2 h0 n(x) ~ k = 2 h0 out(x) ~ k. We collect some basc results for the S-matrx: n(x) =S out (x)s, n = S out, outh n = out h S out = n h S n. For, the vacuum or -partcle states h0 S 0 = h0 0 =, h ~ k S ~ k 0 = h ~ k ~ k 0 =(2 ) 3 2E ~k (3) ( ~ k 0 ~ k ). Fnally, f U = U(a µ, ) s a Poncare transformaton, covarance means USU = S. It s often stated n textbooks that (x)! 2 n(x) cannot hold n the strong sense. That s, that t can only hold for separate matrx elements. Else we d

6 5.2. LS REDUCTION FORMULA: STATED 8 have, the argument goes, for example, [ (x), (y)]! [ n(x), n(y)] for nonequal, early tmes, and snce for n felds ths s a c-number, one would be able to argue that (x) s a free feld. I thnk ths s overkll. Obvously (x0 and n are d erent, one s an nteractng feld and one s not. One can produce multple partcle states out of the vacuum that s the statement that >0 the other cannot. The statement that (x)! 2 n(x) at t! s useful because t gves us the correct way of relatng wldly separated ntal state (sngle)-partcles created by to those created by n. To make sense of ths we need partcles that are truly separated, whch means we have to consder wave-packets rather than plane waves. We wll comment on ths when we dscuss the S-matrx for mult-partcle states. 5.2 LS reducton formula: stated LS stands for Lehmann, Symanzk and mmermann. The LS formula gves the probablty ampltude for scatterng any number of partcles nto any number of partcles: outh~p,...,~p l ~ k,..., ~ k n n =( ly (@ y 2 + m 2 ) = Comments: 2 ) n+l ly d 4 y = n Y j= d 4 x j e P l = p y P n j= k j x j ny (@ x 2 j + m 2 )h0 T ( (y ) (y l ) (x ) (x n )) 0. (5.4) j= () Computng S matrx elements reduced to computng Green s functons, G (n) (x,...,x n )=h0 T ( (x ) (x n )) 0. () One can do a more general treatment n term of -partcle wave-packets. Snce the LS formula s multlnear n the plane waves for the n and out states, the result amounts to replacng e k x )! f (x ) and e p y )! f (y ). () Integratng by parts (@ x 2 + m 2 )e ±p x) = (p 2 m 2 )e ±p x) = 0. The result has to be nterpreted wth care. Let Y n d 4 x e P n = k x G (n) (x,...,x n )=(2 ) 4 (4) ( X k ) G e(n) (k,...,k n ). = (5.5) That we always have a (4) ( P k ) follows form translaton nvarance. We can change varables to the d erences x + x together wth the center

7 82 CHAPTER 5. ELEMENTARY PROCESSES of mass X = P x. Then snce G (n) does not depend on X we wll have R d 4 Xe R P k tmes the rest. Now, G e(n) (k,...,k n ) s defned for arbtrary four vectors, k,...,k n, not necessarly satsfyng the on-shell condton k 2 = m 2 ; we say that k s o -shell f k 2 6= m2, or alternatvely, that the energes, k 0, are arbtrary, not gven by ±E ~ k. Incdentally, the on/o -shell language s smply short for the momentum beng on/o the mass-shell. Itmaybe that G e(n) (k,...,k n ) has smple poles as k 0!±E ~k. In fact, by Lorentz nvarance the poles must be pared, appearng as poles n k 2 m 2. These poles cancel the zeroes from Q (@ 2 + m 2 ) and the S-matrx element s just the resdue: outh~p,...,~p l ~ k,..., ~ k n n =( l+n Y k= d 4 q k e P l = q y + P l+n n Y j= q j x j =( 2 ) n+l (2 ) 4 (4) ( X j lm p 2!m2 kj 2!m2 ly (p 2 m 2 ) = k j 2 ) n+l ly d 4 y = n Y j= =( q 2 k +m2 )(2 ) 4 (4) (X X p ) d 4 x j e P l = p y P n j= k j x j k ) e G (n) (q,...,q n+l ) ny (kj 2 m 2 ) G e(n) (k,...,k n, p,..., p l ). j= and note that each factor of p 2 m 2 comes wth a /( 2 ). (v) It s therefore useful to summarze ths n terms of a scatterng ampltude, A = A(k,...,k n ; p,...,p l ) = lm p 2!m2 ly (p 2 m 2 ) ny (kj 2 m 2 ) eg (n) (k,...,k n, p,..., p l ) kj 2 =!m2 2 j= 2 so that outh~p,...,~p l ~ k,..., ~ k n n =(2 ) 4 (4) ( X j k j X p ) A. 5.3 S-matrx: perturbaton theory Contnung to present results wthout justfcaton (whch wll be gven later) we now gve the Green s functons (or correlators or n-pont functons n terms of n

8 5.3. S-MATRIX: PERTURBATION THEORY 83 felds: G (n) (x,...,x n )=h0 T ( (x ) (x n )) 0 = h0 T ( n (x ) n(x n )e R d 4 xh 0 n ) 0 (5.6) Expandng the exponental, wrtng Hn 0 for H0 n,wth =, just a countng devce, and retanng up to some power n, say N, we are approxmatng G (n) as a perturbatve expanson. If Hn 0 s wrtten explctly n terms of some parameters, and these can be consdered as small, we are then approxmatng G (n) as an expanson n powers of these small parameters. For example, wth L = L 0 + L 0, L 0 = 2 (@ µ ) 2 2 m2 2 and L 0 = H 0 = ( /4!) 4, then we are expandng G (n) n powers of,thecouplng constant. Let s see ths explctly n ths example. Compute G (4) (x,...,x 4 ): 0th order We take the n the expanson fo the exponental: G (4) 0 (x,...,x 4 )=h0 T ( n (x ) n(x 4 )) 0 To make the notaton more compact we drop the label n for now and use (x, etc. Usng Wck s theorem, for G (4) 0 (x,...,x 4 )=h0 T ( 4) 0 = h0 : 4:+: 2 3 4:+: 2 3 4:+: 2 3 4: +: 2 3 4:+: 2 3 4:+: 2 3 4: +: 2 3 4: +: 2 3 4: +: 2 3 4: 0 Only the last lne s non-vanshng, the prevous two have normal ordered operators actng on the vacuum. The last lne gves G (4) 0 (x,...,x 4 )= Now, we compute e G (4) and then A: 4Y n= d 4 x n e P k n x n G (4) 0 (x,...,x 4 )= d 4 x d 4 x 2 e k x k 2 x 2 2 d 4 x 3 d 4 x 4 e k 3 x 3 k 4 x permutatons.

9 84 CHAPTER 5. ELEMENTARY PROCESSES We need d 4 x d 4 x 2 e k x d 4 q = (2 ) 4 = q 2 d 4 q (2 ) 4 d 4 q (2 ) 4 e q (x x 2 ) q 2 m 2 + m 2 d 4 x e x (k +q) d 4 x 2 e x 2 (k 2 q) + k 2 x 2 q 2 m 2 + (2 )4 (4) (k + q)(2 ) 4 (4) (k 2 q) =(2 ) 4 (4) (k + k 2 ) k 2 m 2 There s no n the last step snce we have performed the ntegral over q 0. Usng ths above we have eg (4) (k,...,k 4 )= k 2 m 2 k3 2 m 2 (2 )4 (4) (k + k 2 )(2 ) 4 (4) (k 3 + k 4 )+perms apple =(2 ) 4 (4) (k + k 2 + k 3 + k 4 ) k 2 m 2 k3 2 m 2 (2 )4 (4) (k + k 2 )+perms Moreover, the scatterng ampltude s A(k,k 2 ; p,p 2 )= p 2 m 2 p 2 2 m 2 k 2 m 2 k 2 2 m 2 eg (4) (k,...,k 4 )=0, lm p 2!m2 k 2 j!m2 whch makes sense snce at ths order n the expanson there s no nteracton so there s no scatterng. st order We now expand the exponental to lnear order so that G (4) (x,...,x 4 )=h0 T( 4( ) d 4 x 4 4! (x)) 0 To calculate ths we use Wck s theorem. We know from experence ganed above that we need the terms wth all felds contracted. Let s dstngush terms lke ( ) d 4 x (x) (x) (x) (x) 4! or 2 ( ) d 4 x 4! 3 4 (x) (x) where at least two of the,..., 4 are contracted among themselves, from terms lke 4! d 4 x (x) (x) (x) (x) (5.7)

10 5.3. S-MATRIX: PERTURBATION THEORY 85 We call the frst knd dsconnected, the second connected. The reason for the termnology wll become clear when we ntroduce a graphcal representaton of these contractons. We say the felds,..., 4 are external whle the ones that appear from nsertng powers of the Hamltonan nto the tme ordered product are nternal. For dsconnected terms each contracton j of a par of external felds wll gve a sngle factor of (2 ) 4 (4) (k + k j )(k 2 m 2 ), and the rest of the factors n that term wll be ndependent of k and k j. Then, when computng the ampltude A we ll have lm (k k,j 2 2 m 2 )(kj 2 m 2 )!m2 k 2 m 2 (2 )4 (4) (k + k j ) (k,j -ndependent) = 0 To get a non-vanshng ampltude we look n connected terms. Note that the one n (5.7) s but one of 4! contractons of ths type, and they all gve the same result. So we have G (4),conn (x,...,x 4 )= = = from whch we read o d 4 x d 4 x 4Y n= (x ) (x) (x 2 ) (x) (x 3 ) (x) (x 4 ) (x) 4Y n= d 4 q n (2 ) 4 e qn (xn x) m 2 + q 2 n d 4 q n (2 ) 4 e qn (xn x) (2 ) 4 (4) ( 4X q n ) n= 4Y q 2 n= n m 2 + eg (4),conn (k,...,k 4 )= 4Y q 2 n= n m 2 + We now use the LS formula to compute the scatterng ampltude. Ths entals removng the four propagators and multplyng by 2. However, tself has a perturbatve expanson, wth =+O( ), so to the order we are workng we can set =. We obtan A(k,k 2 ; p,p 2 )=, (5.8) that s outh~p ~p 2 ~ k ~ k 2 n = (2 ) 4 (4) (k + k 2 p p 2 ) 5.3. Graphcal Representaton A graphcal representaton gves an e ectve way of communcatng and organzng these calculatons. Consder the Green s functon that we would need to compute

11 86 CHAPTER 5. ELEMENTARY PROCESSES the scatterng ampltude at p-th order n ( ) p h0 T (x ) (x 4 ) n the perturbatve expanson 4 (y ) 4! 4 (y p ) 4! 0 (5.9) In usng Wck s theorem to compute ths s expanded nto a sum of many terms. Each term n the sum s represented by a dagram, and the set of all dagrams, s constructed by drawng:. An endpont of a lne for each x,...,x 4. We call these lnes external. 2. A pont, or vertex, from whch four lnes orgnate for each y,...,y p. 3. Connectons between the loose ends of the lnes, so that all ponts x,...,y p are connected wth lnes (wth one lne emergng from the x s and four from the y s). We assocate wth each lne a factor of (z a ) (z b ), where z a and z b are the two ponts connected by the lne. To each vertex we assocate a. Fnally there s a combnatoral factor arsng from equvalent contractons, to compensate for less than 4! possble equvalent contractons; see example and fuller explanaton below. Let s recover the results of our 0-th and st order calculatons. At lowest order, p = 0, so there are not vertces, only four endponts of external lnes: x x 3 x 2 x 4 + x x 2 x 3 x 4 + x x 2 x 3 x 4 = These are dsconnected terms, and the dagrams are dsconnected dagrams. As such they gve A = 0. Now at frst order n perturbaton theory, the p =term, we have dsconnected dagrams, x x 2 x 3 y x 4 + x y x 3 x 2 x 4 + = 2 y 3 y y y and one connected dagram,

12 5.4. FEYNMAN GRAPHS 87 x y x 3 x 2 x 4 = y 2 y 3 y 4 y Note that the frst dsconnected dagram has a combnatoral factor of 2, as ndcated. Ths can be seen as follows. Startng from (5.9) wth p =, and nsstng that s contracted wth 2 and both 3 and 4 are contracted wth y s, we see that there s only one possble contracton of wth 2,thenwehave4ways of contractng 3 wth 4 y,whch 3 y un-contracted, and fnally we have 3 ways of contractng 4 wth 3 y. The last step leaves 2 y whch can gve a sngle contracton of y wth y. That s, there are 4 3 contractons. Ths tmes the pre-factor of 4! gves the symmetry factor of 2. Here s another example of a combnatoral factor, now for a connected dagram, from p = 2: x x2 y x 3 y 2 x4 = 2 ( )2 y 2 y 3 y 2 y y 2 2 The combnatoral factor s obtaned as follows. There are 4 ways of contractng wth 4 y, whch leaves 3 ways of contractng 2 wth 3 y. Smlarly, here are 4 ways of contractng 3 wth 4 y 2, whch leaves 3 ways of contractng 4 wth 3 y 2. Fnally we have to contract 2 y wth 2 y 2, and there are 2 ways of dong ths. We have = 4! 2 As an exercse you should verfy there are fve other connected dagrams for the p = 2 case and they all have the same combnatoral factor of Feynman Graphs The dagrammatc language above s very useful n computng Green s functons n perturbaton theory. But often we are nterested n scatterng ampltudes whch are obtaned from the Fourer transform e G (n) (k,...,k N ) by the LS reducton formula. So t s convenent to replace the rules for the dagrammatc analyss above so that one obtans drectly the Fourer transforms e G (n) or even the correspondng scatterng ampltude A. To ths e ect, n computng (5.9) we use a b = d 4 q (2 ) 4 eq (xa x b) q 2 m 2 +. (5.0)

13 88 CHAPTER 5. ELEMENTARY PROCESSES R For perturbaton theory the nteracton term, d 4 y 4 (y), s as n (5.9) but ntegrated over space-tme. Each nteracton term gves a factor of d 4 ye y P n qn = (2 ) 4 (4) ( X q n ), n where the q n are from the four contractons Q 4 = (y) (x ). To keep track of the sgns ±q x n the arguments of the exponental, t s convenent to thnk of q as an arrow: n (5.0) t s drected from x a to x b. So we have new rules:. Draw dagrams wth n external legs (all topologcally dstnct dagrams). 2. For each topology assgn momenta q to each lne, ncludng external legs. The assgnment s drectonal: draw an arrow to ndcate the drecton of q, arbtrarly. 3. Every external lne carres a factor d 4 q n (2 ) 4 e±qn xn qn 2 m 2 +. wth the plus sgn f the arrow for q n s drawn pontng nto the dagram, mnus f t ponts out. 4. Every nternal lne carres a factor d 4 q (2 ) 4 q 2 m Each vertex carres a factor (2 ) 4 (4) ( X n (±)q n ) where q n are the momenta of the lnes at the vertex, wth the sgn assgnment + f q n s drected nto the vertex and f drected out of the vertex. 6. Introduce a correcton symmetry factor, as before. For example, the connected dagram, x q q 3 x 3 x 2 q 2 q 4 x 4

14 5.4. FEYNMAN GRAPHS 89 gves 4Y = d 4 q n (2 ) 4 eqn xn 4X qn 2 m 2 + ( )(2 )4 (4) ( q n ) If the contracton nvolves an external leg, when takng the Fourer transform the correspondng coordnate x s ntegrated, R d 4 x e k x. Ths gves d 4 x e k x n= d 4 q,eq (x (2 ) 4 y) q 2 m 2 + = e k y m 2 + Now recall, Eq. (5.5), that e G (n) (k,...,k n ) s not really the Fourer transform of G (n) (x,...,x n ), but rather n Y = d 4 x e P n = k x G (n) (x,...,x n )=(2 ) 4 (4) ( X k 2 k ) e G (n) (k,...,k n ). The Feynman rules tell us how to compute for (2 ) 4 (4) ( P k ) e G (n) (k,...,k n )n perturbaton theory:. Draw dagrams wth n external legs (all topologcally dstnct dagrams). 2. For each topology fnd the nequvalent ways of assgnng momenta k to each external leg. The assgnment s drectonal: k goes nto the dagram, out to n f k 0 > 0 (draw an arrow to ndcate ths). 3. Assgn a momentum q n, n =,...,I to each nternal lne. Draw an arrow to ndcate ths momentum drecton, arbtrarly. 4. Every external lne carres a factor k 2 m Every nternal lne carres a factor d 4 q (2 ) 4 q 2 m Each vertex carres a factor (2 ) 4 (4) ( X n (±)p n ) where p n are the momenta of the lnes at the vertex, wth the sgn assgnment + f p n s drected nto the vertex and f drected out of the vertex.

15 90 CHAPTER 5. ELEMENTARY PROCESSES 7. Introduce a correcton symmetry factor, as before. So, for example, to order for the 4-pont functon s n the perturbatve expanson, the connected dagram k k 3 k 2 k 4 correspondng to eg (4) (k,...,k 4 )= 4Y n= k 2 n m 2 + ( )(2 )4 (4) ( Here s another example, a contrbuton to order 2 to e G (6) : k k 4 q k 2 k 5 4X k n ) n= correspondng to 6Y n= k 2 n leadng to d 4 q m 2 + (2 ) 4 " ( )(2 ) 4 (4) 3X =(2 ) 4 (4) eg (6) conn(k,...,k 6 )= k 3 k 6 q 2 n= k n " 6X k n n= 2 n= m 2 + #" # 6X q ( )(2 ) 4 (4) k n + q 2 n= n=3 6Y # kn 2 m 2 (k + k 2 + k 3 ) 2 m 2 6Y kn 2 m 2 (k + k 2 + k 3 ) 2 m 2 + where the ellpses stand for other connected graphs at order 2 (can you dsplay them?) plus terms of hgher order n. Wehaveremovedthe from the propagators n the last lne snce all ntegrals have been performed. One more example:

16 5.4. FEYNMAN GRAPHS 9 k q k 3 k 2 q 2 k 4 gves 2 4Y n= =(2 ) 4 (4) k 2 n m 2 2Y = d 4 q (2 ) 4 h ( )(2 ) 4 (4) (k + k 2 q q 2 ) 4X n= k n 2 ( )2 4Y n= q 2 k 2 n m 2 m 2 + h ( )(2 ) 4 (4) (k 3 + k 4 + q + q ) d 4 q (2 ) 4 q 2 m 2 + (k + k 2 q ) 2 m 2 + Notce that ths result nvolves a non-trval ntegraton. Ths occurs n any dagram for whch there s a closed crcut of nternal lnes: momentum conservaton at each vertex, enforced by -functons, does not completely fx the momentum of the nternal lnes. In ths example the momentum q appears n two propagators, tracng a closed trajectory, a loop. The stuaton s depcted n a new type of dagram n whch the delta functons of momentum conservaton have been explctly accounted for (except an sngle factor that gves momentum conservaton of the external momentum): k q k 3 k 2 q k k 2 k 4 There s no longer an ntegraton for each nternal lne. Instead there as n ntegral only over the undetermned momentum q. We call q a loop momentum and R d 4 q a loop ntegral. Ths generalzes. It s always the case that that the -functons at each vertex mpose momentum conservaton and therefore one can always recast the product of delta-functons as one (4) ( P n k n) of external momentum tmes the remanng delta functons. The number L of loop ntegrals we are left to do n any gven dagram s the number of nternal lnes I mnus the number of delta-functons, takng away the one for overall momentum conservaton. If there are V vertces, we then have V -functons and therefore L = I V +

17 92 CHAPTER 5. ELEMENTARY PROCESSES In our example above, I = 2, V = 2 and we had L =2 few more examples: 2 + = loops. Here are L =3 2+=2 L =7 4+=4 We can also have a theory wth 3-pont and 4-pont vertces, as n 3! g 3 + 4! here s an example: 4 ; L =5 4+2=2 Ths suggest a more compact set of Feynman rules to compute e G (n) (k,...,k n ):. Draw dagrams wth n external legs (all topologcally dstnct dagrams). 2. For each topology fnd the nequvalent ways of assgnng momenta k to each external leg. The assgnment s drectonal: k goes nto the dagram. Draw an arrow to ndcate ths. 3. Assgn q, =,...,L momenta to nternal lnes; draw arrow ndcatng drecton. Assgn momenta to remanng I L = V nternal lnes by enforcng momentum conservaton: at each vertex P p n = P p out. 4. For each lne p = p 2 m For each vertex, = 6. Integrate:. LY n= d 4 q n (2 ) 4 7. Symmetry factor /S as needed.

18 5.5. CROSS SECTION Cross Secton In a common expermental setup two beams of elementary partcles are accelerated n opposte drectons and brought nto face to face encounter. Some fracton of the partcles n the beams collde. The collson results n a spray of elementary partcles emanatng form the collson pont and an array of detectors surroundng the area regster these outgong partcles. Here as a computer generated mage of the tracks made by charged partcles that are sprayed out of the head-to-head collson of two protons, projected onto a plane transverse to the drecton of the protons: In another common setup a beam of partcle mpnges on a collecton of statonary targets. Ths second set-up s, of course, just the frst one as seen by an observer at rest wth the second beam. We say ths observer s n the lab frame. We are after a measure of how lkely are these collsons to occur. The cross secton,, for scatterng s defned through number of collsons unt tme =(flux). To calculate, rather than computng the number of collsons per unt tme from the actual flux, we use unt flux (that of one-on-one partcles) and therefore collson probablty unt tme =(untflux). We have an ntal state that conssts of two partcles, a fnal state f that conssts of n-partcles (n/ge2). The probablty that evolves nto f s P!f = hf out n 2 = hf n S n 2 = hf S 2 where n the last step we gnore the f = case (no collson, hence subtract from S) and suppressed the n label (we wll get tred of carryng t around).

19 94 CHAPTER 5. ELEMENTARY PROCESSES We have to be careful to ask the rght queston: snce we have contnuum normalzaton of states, f we are overly selectve n what we want for f, the probablty of fndng t n wll vansh. Recall f you drop a pn on a pece of paper the probablty of httng a gven pont on the paper, say, (x 0,y 0 ), s zero, snce a pont s a set of measure zero n the set of ponts that comprse the area of the paper. Lkewse, f we set f = ~ k,..., ~ k n we ll fnd P!f = 0. Instead we project out a subspace of F, rather than a sngle state. Instead of we take hf S 2 = h (S ) fhf S h (S ) X fhf (S ) f some states In partcular, for n partcles n the fnal state we have X fhf! (dk ) (dk n ) ~ k,..., ~ k n h ~ k,..., ~ k n where f we may not want to sum over all possble momenta, so the ntegrals can be restrcted must avod double countng from ndstngushable partcles Suppose partcles and 2 are ndstngushable (but the rest are not). Then to avod double countng one should wrte X fhf! (dk ) (dk n ) 2 ~ k,..., ~ k n h ~ k,..., ~ k n f If,2,3 are ndstngushable then the pre-factor becomes /3! snce the order of ~ k, ~ k 2 and ~ k 3 n the label of the state s mmateral. More generally, X fhf! S f ny (dk ) ~ k,..., ~ k n h ~ k,..., ~ k n = where S = m!m 2! where m s the number of dentcal partcles of type ( P m = n). We are ready to gve a probablty: P!f = h (S ) P fhf S h

20 5.5. CROSS SECTION 95 We have dvded by h because states must be normalzed for proper nterpretaton. Dd not dvde by normalzaton of f because t s ncluded properly n relatvstc measure n the sum over states. We next recast ths n terms of the scatterng ampltude, hf S =(2 ) 4 (4) (P f P ) A(! f). At ths pont we choose an ntal state of plane waves wth defnte momentum, = ~p,~p 2.Wehave h = h~p,~p 2 ~p,~p 2 = h~p ~p h~p 2 ~p 2 but snce n general h~p ~ k =2E ~k (2 ) 3 (3) (~p ~ k ), we have, h~p ~p =2E ~k (2 ) 3 (3) (0). Ths s embarrassng, but not dsastrous. There are two ways of dealng wth ths problem. It s not very hard to use wave-packets, whch can be properly normalzed, nstead of plane waves, but won t do here; check t out n some of the textbooks n our bblography. We have an alternatve means of dealng wth ths problem, whch s by puttng the system n a fnte box of volume V. We have already done so n computng phase space. We dscovered there that the correct nterpretaton of ths nfnty s (2 ) 3 (3) (0)! V. In fact, we wll also use, more generally, (2 ) 4 (4) (0)! VT,whereT = t fnal t ntal. So we can wrte h =4E E 2 V 2. Smlarly 2 hf S 2 = (2 ) 4 (4) (P f P ) A(! f) 2 = (2 ) 4 (4) (0) (2 ) 4 (4) (P f P ) A(! f) 2 Puttng t all together: where probablty tme = T VT S = VT(2 ) 4 (4) (P f P ) A(! f) 2 R Q (dk )(2 ) 4 (4) (P f P ) A(! f) 2 4E E 2 V 2 = A(! f) 2 d n V 4E E 2 d n = S (2 )4 (4) (P f P )(dk ) (dk n ) s the Lorentz-nvarant n-partcle phase space. Fnally, n order to determne the cross secton we need to dvde the above by the unt flux. Assume partcle s unformly dstrbuted n a box of volume V. The probablty of fndng t s a sub-volume v s v/v. We want v to be the nteracton volume, so project a volume forward of partcle 2, n the drecton of the relatve moton ~v 2 ~v, wth cross sectonal area perpendcular to that drecton, when partcle 2 moves over a tme t, as n the followng fgure:

21 96 CHAPTER 5. ELEMENTARY PROCESSES partcle 2 ~v 2 ~v Ths has volume V = ( ~v 2 ~v t) V ~v 2 ~v t ) probablty unt tme = ~v 2 ~v V Comparng wth the above probablty per unt tme we have d = 4E E 2 ~v 2 ~v A 2 d where we have wrtten d rather than to remnd us that d wll be ntegrated over: = R R d = 4E E 2 ~v 2 ~v A 2 d. The factor E E 2 ~v 2 ~v s nvarant under boosts along the drecton of ~v 2 ~v. Ths s most easly seen n a frame where ~v and ~v 2 are along the z-axs. Then E E 2 ~v 2 ~v = E E 2 p 2 E 2 p E = p 2 E p E 2 = 2µ p µ p 2 s nvarant to boosts n the 3-drecton. It s useful to compute ths factor n the two most common frames, once and for all. In the Lab frame: ~p 2 = 0, E 2 = m 2 so E E 2 ~v 2 ~v = p 2 E p E 2 = m 2 p. In the center of mass, or CM frame, ~p 2 + ~p = 0, so that ~p = ~p 2 ~p and E E 2 ~v 2 ~v = p 2 E p E 2 = ~p p (p + p 2 ) 2 where p,2 are 4-vectors. Let s (p + p 2 ) 2 so that s = m 2 + m2 2 +2E E 2 +2 ~p 2.SnceE = relatng ~p 2 to s, whch we solve: q ~p 2 + m 2 we have an equaton Ths gves ~p 2 = (s m2 m 2 2 )2 4m 2 2 m2 2 4s 4E E 2 ~v 2 ~v = ~p p q s =2 (s m 2 m 2 2 )2 4m 2 m2 2. The last expresson s vald n any frame boosted along ~v 2 ~v, and we can wrte d = 2 p A 2 d (s m 2 m 2 2 )2 4m 2 m2 2

22 5.5. CROSS SECTION 97 Example: 2! 2 scatterng, dentcal partcles ~ k ~p ~p 2 ~ k 2 We have for dentcal partcles m = m 2 = m Change varables: d 2 = d3 k (2 ) 3 2E d 3 k 2 (2 ) 3 2E 2 (2 ) 4 (4) (P k k 2 ) = d4 k d 4 k 2 (2 ) 2 (k 0 ) (k 0 2) (k 2 m 2 ) (k 2 2 m 2 ) (4) (P k k 2 ) p = k + k 2 q = 2 (k k 2 ) Note that the Jacoban of the transformaton,, k = 2 p + q k 2 = 2 2 q =. Then, d 2 = (2 ) 2 d4 p (4) (P p)d 4 q ( 2 p0 + q 0 ) ( 2 p0 q 0 ) (( 2 p + q)2 m 2 ) (( 2 p q)2 m 2 ) = (2 ) 2 d4 q ( 2 P 0 q 0 ) ( 4 P 2 + P q + q 2 m 2 ) (2P q) In the CM frame, ~ P = 0, ths s smple: d 2 = (2 ) 2 dq0 ~q 2 d ~q d cos d ( 2 P 0 q 0 ) ( 4 P 2 +(q 0 ) 2 ~q 2 m 2 ) (q 0 ) 2P 0 = q (2 ) 2 d cos d 2P (P 0 ) 2 m 2 = 8(2 ) 2 d cos d p 4m 2 /s where s = P 2 =(p + p 2 ) 2 as before. Therefore d d cos d = p 4m 2 8(2 ) 2 2 /s 2 p (s 2m 2 ) 2 4m 2 A 2 = 32 (2 ) 2 s A 2

23 98 CHAPTER 5. ELEMENTARY PROCESSES Often A s ndependent of,so 5.6 LS reducton, agan d d cos = 64 s A 2 We want to establsh the LS reducton formula. We don;t pretend to gve a complete proof. The objectve s to express the S-matrx n terms of Green s functons, vacuum expectaton values of tme ordered products, of n felds. Consder outh ~ k, ~ k 2,..., ~ k n n = out h ~ k n = out h ~ k n n Recall n(x) t n (x) = (dq) ~q n e q x + eq x ~q n (dq) E ~q ~q n e q x + E ~q ~q n eq x Invertng these, ~q n = d 3 xe q t n (x) So we have outh ~ k n = d 3 xe k t out h n(x) n = 2 d 3 xe k t out h (x) n as t!. Now we use the fundamental theorem of calculus, g(t 2 )=g(t )+ R t 2 t t 2!and t! so that lm t! d 3 xe k t out h (x) n = lm t! dt dg dt,wth d 3 xe k t out h (x) n d 4 x@ t e k t out h (x) n The frst term on the rght hand sde tmes 2 s out h ~ k out n, as can be seen by reversng the steps. If out = ~p,~p 2,...,~p n 0 out then ~ k out out = (2 ) 3 2E (3) ~k ( ~ k ~p ) ~p 2,...,~p n 0 out + +(2 ) 3 2E (3) ~k ( ~ k ~p n 0) ~p,...,~p n 0 out corresponds to a partcle not partcpatng n the scatterng. We have no use

24 5.6. LS REDUCTION, AGAIN 99 for ths. For the second term on the rght hand sde we t t g(t)) = f@ t 2 g (@ t 2 f)g so t s d 4 xe q x (@ t 2 + E~q 2 ) outh (x) n Usng E~q 2 e q x =( ~q 2 + m 2 )e q x =( r ~ 2 + m 2 )e q x and ntegratng by parts we have fnally outh ~ k n = out h ~ n + 2 d 4 xe k x (@ 2 + m 2 ) out h (x) n k out Smlarly outh ~p n = out h ~p n n + 2 d 4 xe p x (@ 2 + m 2 ) out h (x) n (5.) We woud lke to repeat the process untl we remove all partcles from out and n. To see how ths goes move a partcle o from n from what we already had: outh (0) ~ k 0 n = out h (0) ~ 0 n = 2 lm d 3 xe k k n x x 0 0 outh (0) (x)! = 2 d 4 x@ x 0 e k x 0 outh (0) (x) 0 n 2 lm d 3 xe k x x 0 0 outh (0) (x) 0 n (5.2)! In the last expresson we would lke to move (x) to the left of (0) so that we may turn (x) as x 0!nto ~ actng on hout. To ths end we rewrte the k out frst term n the last expresson n (5.2) usng 0 n (0) (x) =( ( x 0 )+ (x 0 )) (0) (x)+ (x 0 )( (x) (0) (x) (0)) = T ( (x) (0)) + (x 0 )[ (0), (x)] Then n d 4 x@ x 0 e k x 0 outh (x 0 )[ (0), (x)] 0 n (5.3) x 0 hts (x 0 ) we get the equal tme commutator [ (0), (x)] = 0. So we have (5.3) s = h d 4 x@ x 0 (x 0 ) e k x 0 outh [ (0), (x)] 0 n = lm d 3 xe k x x 0 0 outh [ (0),! (x)] 0 n

25 00 CHAPTER 5. ELEMENTARY PROCESSES Combnng ths wth the last term n (5.2) gves precsely what we want: t reverses the order of (0) (x) so that outh (0) ~ k 0 n = 2 d 4 x e k x (@ 2 + m 2 ) out h T ( (0) (x)) 0 n + out h ~ (0) k out 0 n We thus arrve at outh ~ k ~ k 0 2 n =( 2 ) 2 d 4 x d 4 x 2 e k x k 2 x 2 (@ 2 x + m 2 )(@ 2 x 2 + m 2 ) out h T ( (0) (x)) 0 n + dsconnected One can repeat the process untl all partcles n n are removed and we are left wth 0 n = 0. The argument above can be streamlned by replacng T ( (0) (x)) for (0) (x) n the lne above (5.2)), and ths ndeed becomes very convenent n completng the argument for arbtrary number of partcles. Smlarly we can remove -partcle states from out h ~ k usng (5.) repeatedly. 5.7 Perturbaton theory, agan We now gve a proof of (5.6) that gves us the bass for perturbaton theory. Consder G (n) (x,...,x n )=h0 T ( (x ) (x n )) 0. Take for defnteness x 0 x 0 2 x 0 n. Recall (x) =U(t) nu(t), ans use ths n each n the Green s functon: G (n) (x,...,x n )=h0 U (t ) (x )U(t )U (t 2 ) (x 2 )U(t 2 ) U (t n ) (x n )U(t n ) 0. Let U(t, t 0 )=U(t)U (t 0 ). Ths satsfes Moreover, U(, ) =S (5.4) U(t, ) =U(t) (5.5) U(t, t 0 )U(t 0,t 00 )=U(t, t 00 ) t0 ) = H nu(t, t 0 ), wth U(t 0,t 0 )=. Ths s the same equaton satsfed by U(t), but wth a d erent boundary condton. So the soluton s the same only wth d erent lmts of ntegraton, tf U(t f,t )=T exp dthn(t) 0. t

26 5.7. PERTURBATION THEORY, AGAIN 0 We now have G (n) = h0 U ()U(,t ) n (x )U(t,t 2 ) n (x 2 )U(t 2,t 3 ) U(t n,t n ) n (x n )U(t n, )U( ) 0 = h0 U ()T (U(,t ) n (x )U(t,t 2 ) n (x 2 )U(t 2,t 3 ) U(t n,t n ) n (x n )U(t n, )) 0 = h0 U ()T (U(,t )U(t,t 2 )U(t 2,t 3 ) U(t n,t n )U(t n, ) n (x ) n (x 2 ) n(x n )) 0 = h0 U ()T (U(, ) n (x ) n (x 2 ) n(x n )) 0 Unqueness of the vacuum means that 0, 0 n, 0 out, are equal up to a phase. Moreover, U() 0 = S 0 must be 0 up to a phase. To see ths note that S commutes wth Poncare transformatons, U(a µ, )SU (a µ, ) = S and 0 s the unque state (up to a phase) that s left nvarant by a Poncare transformaton. Then U(a µ, )(S 0) =U(a µ, )SU (a µ, )U(a µ, ) 0 = S 0 so S 0 s nvarant and hence equal to 0 up to a phase. So we have h0 U () =h0 U () 0h0. Usng ths and U() =U(, ) =T exp dt Hn(t) 0 we fnally have G (n) (x,...,x n )= n h0 T n(x ) n(x n )e R d 4 x L 0 n nh0 T e R d 4 x L 0 n 0 n 0 n Note that we replaced 0 n for 0 snce the phases n numerator and denomnator cancel. Ths s not what we set out to prove. It s better. The denomnator corresponds to a set of graphs wthout external legs. These vacuum graphs can also appear n the numerator, just multplyng any graph wth external legs. It s a smple exercse to check that the vacuum graphs n the numerator are cancelled by the graphs n the denomnator Generatng Functon for Green s Functons Let Then and [J] =h0 Te R d 4 xj(x) (x) 0. G (n) (x,...,x n )= J(x ) J(x n ) [J] J=0 [J] = n h0 Te R d 4 x(l 0 n +J(x) n(x)) 0 n nh0 T e R d 4 xl 0 n 0 n

27 02 CHAPTER 5. ELEMENTARY PROCESSES Ths s a convenent way of summarzng the results above for G (n), all n. Note also that [J] = X n d 4 x d 4 x n J(x ) J(x n )G (n) (x,...,x n ). n! n Generatng Functon for Connected Green s Functons Smlarly we defne W [J] = X n n n! d 4 x d 4 x n J(x ) J(x n )G (n) conn(x,...,x n ). We wll now show that [J] =e W [J]. We use a dagrammatc notaton to see how ths works: W [J] = + + where the heavy dots stand for J(x), the hatch crcles wth n lnes stand for G (n) and an ntegral Q R n! d 4 x n each term s understood. Let streamlne notaton for the purposes of ths proof: remove the heavy dots (the ends of lnes are understood as havng them) and reduce the hatch crcle to a pont, so that the above fgure s the same as W [J] = + + Wth ths notaton we consder the exponental of W [J]: exp(w [J]) = exp exp exp Now expand ts exponental, as n exp =+ + 2! + 3! + and reorganze by powers of J, that s, number fo external legs:

28 5.7. PERTURBATION THEORY, AGAIN 03 exp W [J] = ! + + where the ellpses stand for terms wth fve or more legs. Let s analyze n more detal the term n parenthess: we want to show that t gves G (4) (tmes sources, /4! and ntegrated). The cross stands for Now, 4 J(x ) J(x 4 ) 4! d 4 y d 4 y 4 J(y ) J(y 4 )G (4) conn(y,...,y 4 ) of ths gves G(4) conn(x,...,x 4 ). Note that the 4! s absent snce there are 4! terms from the ntegral (same as n d4 dx 4 x 4 = 4!). Turnng to the other term, the dsconnected graph, we have 4 J(x ) J(x 4 ) 2! 2! 2 d 4 yd 4 zj(y)j(z)g (2) (y, z) = G (2) (x,x 2 )G (2) (x 3,x 4 )+G (2) (x,x 3 )G (2) (x 2,x 4 )+G (2) (x,x 4 )G (2) (x 2,x 3 ) If we take the for J-functonal dervatves and set J = 0 these are the only terms we pck up n the expanson, so we have 4 J(x ) J(x 4 ) ew [J] = J=0 G(4) conn(x,...,x 4 ) + G (2) (x,x 2 )G (2) (x 3,x 4 )+G (2) (x,x 3 )G (2) (x 2,x 4 )+G (2) (x,x 4 )G (2) (x 2,x 3 ) = G (4) (x,...,x 4 )= 4 J(x ) J(x 4 ) [J] J=0 In the general case, the term wth J n n e W [J] s a sum of all possble contrbutons of the form n2 n3 J J 2 G (2) c J J 2 J 3 G (3) c n 2! 2! n 3! 3! such that 2n 2 +3n 3 + = n, n a hopefully obvous condensed notaton. For example, n = 4 has (n 2 =2,n 6=2 = 0) + (n 4 =,n 6=4 = 0), and n = 6 has (n 6 =,n 6=6 = 0) + (n 4 =,n 2 =,n 6=4,2 = 0) + (n 3 =2,n 6=3 = 0) + (n 2 =3,n 6=2 = 0). Consder the term wth G (k) c : take kn k J(x ) J(x knk ) n k! k! nk J J k G (k) c

29 04 CHAPTER 5. ELEMENTARY PROCESSES Ths s completely symmetrc under permutatons of x,...,x knk. To make ths explct we rewrte t as n k! k! kn k nk J J k G (k) c = n k! Y = (k!) n k d 4 y J(y ) J(y knk )G (k) c (y,...,y k ) G (k) c (y (nk )k+,...,y nk k) Takng kn k J-dervatves we obtan n k! (k!) n G(k) c k (x,...,x k ) G (k) c (x (nk )k+,...,x nk k)+permutatons of x,...,x nk k Ths contans many repeated terms. We need to count the number of nequvalent permutatons. For each G (k) c there are k! equvalent permutatons of the arguments; ths gves (k!) n k. Then we can permute the G (k) c among themselves; there are n k! such permutatons. So we obtan kn k J(x ) J(x knk ) n k! k! nk J J k G (k) c = G (k) c (x,...,x k ) G (k) c (x (nk )k+,...,x nk k)+nequv-perms Fnally combne all terms and symmetrze over x,...,x n. We obtan all possble combnatons of G c s that can make G (n). But that s precsely what we ntended to show.

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

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

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

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

12. The Hamilton-Jacobi Equation Michael Fowler

12. The Hamilton-Jacobi Equation Michael Fowler 1. The Hamlton-Jacob Equaton Mchael Fowler Back to Confguraton Space We ve establshed that the acton, regarded as a functon of ts coordnate endponts and tme, satsfes ( ) ( ) S q, t / t+ H qpt,, = 0, and

More information

10. Canonical Transformations Michael Fowler

10. Canonical Transformations Michael Fowler 10. Canoncal Transformatons Mchael Fowler Pont Transformatons It s clear that Lagrange s equatons are correct for any reasonable choce of parameters labelng the system confguraton. Let s call our frst

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

Textbook Problem 4.2: The theory in question has two scalar fields Φ(x) and φ(x) and the Lagrangian. 2 Φ ( µφ) 2 m2

Textbook Problem 4.2: The theory in question has two scalar fields Φ(x) and φ(x) and the Lagrangian. 2 Φ ( µφ) 2 m2 PHY 396 K. Solutons for problem set #11. Textbook Problem 4.2: The theory n queston has two scalar felds Φx) and φx) and the Lagrangan L 1 2 µφ) 2 M2 2 Φ2 + 1 2 µφ) 2 m2 2 φ2 µφφ 2, S.1) where the frst

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

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

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

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

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

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

Module 9. Lecture 6. Duality in Assignment Problems

Module 9. Lecture 6. Duality in Assignment Problems Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept

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

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

= z 20 z n. (k 20) + 4 z k = 4

= z 20 z n. (k 20) + 4 z k = 4 Problem Set #7 solutons 7.2.. (a Fnd the coeffcent of z k n (z + z 5 + z 6 + z 7 + 5, k 20. We use the known seres expanson ( n+l ( z l l z n below: (z + z 5 + z 6 + z 7 + 5 (z 5 ( + z + z 2 + z + 5 5

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

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

MAE140 - Linear Circuits - Fall 13 Midterm, October 31

MAE140 - Linear Circuits - Fall 13 Midterm, October 31 Instructons ME140 - Lnear Crcuts - Fall 13 Mdterm, October 31 () Ths exam s open book. You may use whatever wrtten materals you choose, ncludng your class notes and textbook. You may use a hand calculator

More information

PHYS 215C: Quantum Mechanics (Spring 2017) Problem Set 3 Solutions

PHYS 215C: Quantum Mechanics (Spring 2017) Problem Set 3 Solutions PHYS 5C: Quantum Mechancs Sprng 07 Problem Set 3 Solutons Prof. Matthew Fsher Solutons prepared by: Chatanya Murthy and James Sully June 4, 07 Please let me know f you encounter any typos n the solutons.

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

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

HW #6, due Oct Toy Dirac Model, Wick s theorem, LSZ reduction formula. Consider the following quantum mechanics Lagrangian,

HW #6, due Oct Toy Dirac Model, Wick s theorem, LSZ reduction formula. Consider the following quantum mechanics Lagrangian, HW #6, due Oct 5. Toy Drac Model, Wck s theorem, LSZ reducton formula. Consder the followng quantum mechancs Lagrangan, L ψ(σ 3 t m)ψ, () where σ 3 s a Paul matrx, and ψ s defned by ψ ψ σ 3. ψ s a twocomponent

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

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry

Workshop: Approximating energies and wave functions Quantum aspects of physical chemistry Workshop: Approxmatng energes and wave functons Quantum aspects of physcal chemstry http://quantum.bu.edu/pltl/6/6.pdf Last updated Thursday, November 7, 25 7:9:5-5: Copyrght 25 Dan Dll (dan@bu.edu) Department

More information

Density matrix. c α (t)φ α (q)

Density matrix. c α (t)φ α (q) Densty matrx Note: ths s supplementary materal. I strongly recommend that you read t for your own nterest. I beleve t wll help wth understandng the quantum ensembles, but t s not necessary to know t n

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

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

PHYS 705: Classical Mechanics. Hamilton-Jacobi Equation

PHYS 705: Classical Mechanics. Hamilton-Jacobi Equation 1 PHYS 705: Classcal Mechancs Hamlton-Jacob Equaton Hamlton-Jacob Equaton There s also a very elegant relaton between the Hamltonan Formulaton of Mechancs and Quantum Mechancs. To do that, we need to derve

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

Physics 207: Lecture 20. Today s Agenda Homework for Monday

Physics 207: Lecture 20. Today s Agenda Homework for Monday Physcs 207: Lecture 20 Today s Agenda Homework for Monday Recap: Systems of Partcles Center of mass Velocty and acceleraton of the center of mass Dynamcs of the center of mass Lnear Momentum Example problems

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

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

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

1 Interactions and Green functions

1 Interactions and Green functions Interactng Quantum Feld Theory 1 D. E. Soper 2 Unversty of Oregon Physcs 665, Quantum Feld Theory February 2001 1 Interactons and Green functons In these sectons, we dscuss perturbaton theory for the nteractng

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

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

8.323 Relativistic Quantum Field Theory I

8.323 Relativistic Quantum Field Theory I MI OpenCourseWare http://ocw.mt.edu 8.323 Relatvstc Quantum Feld heory I Sprng 2008 For nformaton about ctng these materals or our erms of Use, vst: http://ocw.mt.edu/terms. MASSACHUSES INSIUE OF ECHNOLOGY

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

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1 P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the

More information

U.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016

U.C. Berkeley CS294: Spectral Methods and Expanders Handout 8 Luca Trevisan February 17, 2016 U.C. Berkeley CS94: Spectral Methods and Expanders Handout 8 Luca Trevsan February 7, 06 Lecture 8: Spectral Algorthms Wrap-up In whch we talk about even more generalzatons of Cheeger s nequaltes, and

More information

MAE140 - Linear Circuits - Winter 16 Final, March 16, 2016

MAE140 - Linear Circuits - Winter 16 Final, March 16, 2016 ME140 - Lnear rcuts - Wnter 16 Fnal, March 16, 2016 Instructons () The exam s open book. You may use your class notes and textbook. You may use a hand calculator wth no communcaton capabltes. () You have

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

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

Solutions to Problem Set 6

Solutions to Problem Set 6 Solutons to Problem Set 6 Problem 6. (Resdue theory) a) Problem 4.7.7 Boas. n ths problem we wll solve ths ntegral: x sn x x + 4x + 5 dx: To solve ths usng the resdue theorem, we study ths complex ntegral:

More information

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

Modelli Clamfim Equazione del Calore Lezione ottobre 2014 CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g

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

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

Classical Field Theory

Classical Field Theory Classcal Feld Theory Before we embark on quantzng an nteractng theory, we wll take a dverson nto classcal feld theory and classcal perturbaton theory and see how far we can get. The reader s expected to

More information

Applied Nuclear Physics (Fall 2004) Lecture 23 (12/3/04) Nuclear Reactions: Energetics and Compound Nucleus

Applied Nuclear Physics (Fall 2004) Lecture 23 (12/3/04) Nuclear Reactions: Energetics and Compound Nucleus .101 Appled Nuclear Physcs (Fall 004) Lecture 3 (1/3/04) Nuclear Reactons: Energetcs and Compound Nucleus References: W. E. Meyerhof, Elements of Nuclear Physcs (McGraw-Hll, New York, 1967), Chap 5. Among

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

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens THE CHINESE REMAINDER THEOREM KEITH CONRAD We should thank the Chnese for ther wonderful remander theorem. Glenn Stevens 1. Introducton The Chnese remander theorem says we can unquely solve any par of

More information

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

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

NP-Completeness : Proofs

NP-Completeness : Proofs NP-Completeness : Proofs Proof Methods A method to show a decson problem Π NP-complete s as follows. (1) Show Π NP. (2) Choose an NP-complete problem Π. (3) Show Π Π. A method to show an optmzaton problem

More information

Lecture 20: Noether s Theorem

Lecture 20: Noether s Theorem Lecture 20: Noether s Theorem In our revew of Newtonan Mechancs, we were remnded that some quanttes (energy, lnear momentum, and angular momentum) are conserved That s, they are constant f no external

More information

Lecture Note 3. Eshelby s Inclusion II

Lecture Note 3. Eshelby s Inclusion II ME340B Elastcty of Mcroscopc Structures Stanford Unversty Wnter 004 Lecture Note 3. Eshelby s Incluson II Chrs Wenberger and We Ca c All rghts reserved January 6, 004 Contents 1 Incluson energy n an nfnte

More information

MAE140 - Linear Circuits - Winter 16 Midterm, February 5

MAE140 - Linear Circuits - Winter 16 Midterm, February 5 Instructons ME140 - Lnear Crcuts - Wnter 16 Mdterm, February 5 () Ths exam s open book. You may use whatever wrtten materals you choose, ncludng your class notes and textbook. You may use a hand calculator

More information

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U) Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of

More information

1 (1 + ( )) = 1 8 ( ) = (c) Carrying out the Taylor expansion, in this case, the series truncates at second order:

1 (1 + ( )) = 1 8 ( ) = (c) Carrying out the Taylor expansion, in this case, the series truncates at second order: 68A Solutons to Exercses March 05 (a) Usng a Taylor expanson, and notng that n 0 for all n >, ( + ) ( + ( ) + ) We can t nvert / because there s no Taylor expanson around 0 Lets try to calculate the nverse

More 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

Change. Flamenco Chuck Keyser. Updates 11/26/2017, 11/28/2017, 11/29/2017, 12/05/2017. Most Recent Update 12/22/2017

Change. Flamenco Chuck Keyser. Updates 11/26/2017, 11/28/2017, 11/29/2017, 12/05/2017. Most Recent Update 12/22/2017 Change Flamenco Chuck Keyser Updates /6/7, /8/7, /9/7, /5/7 Most Recent Update //7 The Relatvstc Unt Crcle (ncludng proof of Fermat s Theorem) Relatvty Page (n progress, much more to be sad, and revsons

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

Math1110 (Spring 2009) Prelim 3 - Solutions

Math1110 (Spring 2009) Prelim 3 - Solutions Math 1110 (Sprng 2009) Solutons to Prelm 3 (04/21/2009) 1 Queston 1. (16 ponts) Short answer. Math1110 (Sprng 2009) Prelm 3 - Solutons x a 1 (a) (4 ponts) Please evaluate lm, where a and b are postve numbers.

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

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

where the sums are over the partcle labels. In general H = p2 2m + V s(r ) V j = V nt (jr, r j j) (5) where V s s the sngle-partcle potental and V nt

where the sums are over the partcle labels. In general H = p2 2m + V s(r ) V j = V nt (jr, r j j) (5) where V s s the sngle-partcle potental and V nt Physcs 543 Quantum Mechancs II Fall 998 Hartree-Fock and the Self-consstent Feld Varatonal Methods In the dscusson of statonary perturbaton theory, I mentoned brey the dea of varatonal approxmaton schemes.

More information

Integrals and Invariants of Euler-Lagrange Equations

Integrals and Invariants of Euler-Lagrange Equations Lecture 16 Integrals and Invarants of Euler-Lagrange Equatons ME 256 at the Indan Insttute of Scence, Bengaluru Varatonal Methods and Structural Optmzaton G. K. Ananthasuresh Professor, Mechancal Engneerng,

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecture 0 Canoncal Transformatons (Chapter 9) What We Dd Last Tme Hamlton s Prncple n the Hamltonan formalsm Dervaton was smple δi δ p H(, p, t) = 0 Adonal end-pont constrants δ t ( )

More information

Digital Signal Processing

Digital Signal Processing Dgtal Sgnal Processng Dscrete-tme System Analyss Manar Mohasen Offce: F8 Emal: manar.subh@ut.ac.r School of IT Engneerng Revew of Precedent Class Contnuous Sgnal The value of the sgnal s avalable over

More information

One Dimension Again. Chapter Fourteen

One Dimension Again. Chapter Fourteen hapter Fourteen One Dmenson Agan 4 Scalar Lne Integrals Now we agan consder the dea of the ntegral n one dmenson When we were ntroduced to the ntegral back n elementary school, we consdered only functons

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

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential

Open Systems: Chemical Potential and Partial Molar Quantities Chemical Potential Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,

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

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 12 10/21/2013. Martingale Concentration Inequalities and Applications

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 12 10/21/2013. Martingale Concentration Inequalities and Applications MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.65/15.070J Fall 013 Lecture 1 10/1/013 Martngale Concentraton Inequaltes and Applcatons Content. 1. Exponental concentraton for martngales wth bounded ncrements.

More information

PES 1120 Spring 2014, Spendier Lecture 6/Page 1

PES 1120 Spring 2014, Spendier Lecture 6/Page 1 PES 110 Sprng 014, Spender Lecture 6/Page 1 Lecture today: Chapter 1) Electrc feld due to charge dstrbutons -> charged rod -> charged rng We ntroduced the electrc feld, E. I defned t as an nvsble aura

More information

Quantum Field Theory III

Quantum Field Theory III Quantum Feld Theory III Prof. Erck Wenberg February 16, 011 1 Lecture 9 Last tme we showed that f we just look at weak nteractons and currents, strong nteracton has very good SU() SU() chral symmetry,

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

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

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

G4023 Mid-Term Exam #1 Solutions

G4023 Mid-Term Exam #1 Solutions Exam1Solutons.nb 1 G03 Md-Term Exam #1 Solutons 1-Oct-0, 1:10 p.m to :5 p.m n 1 Pupn Ths exam s open-book, open-notes. You may also use prnt-outs of the homework solutons and a calculator. 1 (30 ponts,

More information

STATISTICAL MECHANICS

STATISTICAL MECHANICS STATISTICAL MECHANICS Thermal Energy Recall that KE can always be separated nto 2 terms: KE system = 1 2 M 2 total v CM KE nternal Rgd-body rotaton and elastc / sound waves Use smplfyng assumptons KE of

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

Note on EM-training of IBM-model 1

Note on EM-training of IBM-model 1 Note on EM-tranng of IBM-model INF58 Language Technologcal Applcatons, Fall The sldes on ths subject (nf58 6.pdf) ncludng the example seem nsuffcent to gve a good grasp of what s gong on. Hence here are

More information

THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructions

THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructions THE VIBRATIONS OF MOLECULES II THE CARBON DIOXIDE MOLECULE Student Instructons by George Hardgrove Chemstry Department St. Olaf College Northfeld, MN 55057 hardgrov@lars.acc.stolaf.edu Copyrght George

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

More information

8.6 The Complex Number System

8.6 The Complex Number System 8.6 The Complex Number System Earler n the chapter, we mentoned that we cannot have a negatve under a square root, snce the square of any postve or negatve number s always postve. In ths secton we want

More information

Homework & Solution. Contributors. Prof. Lee, Hyun Min. Particle Physics Winter School. Park, Ye

Homework & Solution. Contributors. Prof. Lee, Hyun Min. Particle Physics Winter School. Park, Ye Homework & Soluton Prof. Lee, Hyun Mn Contrbutors Park, Ye J(yej.park@yonse.ac.kr) Lee, Sung Mook(smlngsm0919@gmal.com) Cheong, Dhong Yeon(dhongyeoncheong@gmal.com) Ban, Ka Young(ban94gy@yonse.ac.kr) Ro,

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

1 Generating functions, continued

1 Generating functions, continued Generatng functons, contnued. Generatng functons and parttons We can make use of generatng functons to answer some questons a bt more restrctve than we ve done so far: Queston : Fnd a generatng functon

More information

The optimal delay of the second test is therefore approximately 210 hours earlier than =2.

The optimal delay of the second test is therefore approximately 210 hours earlier than =2. THE IEC 61508 FORMULAS 223 The optmal delay of the second test s therefore approxmately 210 hours earler than =2. 8.4 The IEC 61508 Formulas IEC 61508-6 provdes approxmaton formulas for the PF for smple

More information

ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY

ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY CIPRIAN ACATRINEI Natonal Insttute of Nuclear Physcs and Engneerng P.O. Box MG-6, 07725-Bucharest, Romana E-mal: acatrne@theory.npne.ro. Receved March 6, 2008

More 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

Solutions to exam in SF1811 Optimization, Jan 14, 2015

Solutions to exam in SF1811 Optimization, Jan 14, 2015 Solutons to exam n SF8 Optmzaton, Jan 4, 25 3 3 O------O -4 \ / \ / The network: \/ where all lnks go from left to rght. /\ / \ / \ 6 O------O -5 2 4.(a) Let x = ( x 3, x 4, x 23, x 24 ) T, where the varable

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

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011 Stanford Unversty CS359G: Graph Parttonng and Expanders Handout 4 Luca Trevsan January 3, 0 Lecture 4 In whch we prove the dffcult drecton of Cheeger s nequalty. As n the past lectures, consder an undrected

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

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