7. Equilibrium Statistical Mechanics

Size: px
Start display at page:

Download "7. Equilibrium Statistical Mechanics"

Transcription

1 7. Equlbru Statstcal Mechacs 7.A C. 7.D. 7.E. 7.F. 7.G. 7.H. Itroducto he Mcrocaocal Eseble Este's Fluctuato heory he Caocal Eseble Heat Capacty of A Debye Sold Order-Dsorder rastos he Grad Caocal Eseble Ideal Quatu Gases

2 7.A. Itroducto A closed ad solated syste teds to a statoary state that s charactersed by a few te-depedet state varables. Such a state s sad to be therodyacal equlbru. Accordg to the st law, ts total (teral) eergy s fxed. Accordg to the d law, ts etropy s at a axu sce all etropy-creasg spotaeous processes have ceased. For a syste wth degrees of freedo, ts states wth fxed teral eergy of, say, U E, for a 6 hyper-surface the phase space. he phase space trajectory of a closed ad solated syste s restrcted o ths costat eergy surface. Cosder ow a fte uber of such systes, all detcal ad prepared equlbru wth U solated systes. E. I short, we have a equlbru eseble of closed Accordg to the postulate of equal probablty, we assg a equal probablty to each state pot o the costat eergy surface so that the probablty desty s gve by, E E H X X E for (7.) otherwse X q p s the 6-desoal phase space vector. E where, s called the structure fucto ad deotes the area of the costat eergy surface. ote that as show chapter 6, ths postulate s always satsfed for ergodc systes. he etropy s defed by Gbbs as l X X X (7.) S d C where C s a costat serted to gve the proper desos. For quatu systes, the Gbbs etropy (7.) s geeralzed to S l r (7.) where s the desty operator ad the trace s over ay coplete orthooral set of bass states.

3 7.. he Mcrocaocal Eseble Quatu Verso Exercse 7. (Este Sold) Classcal Verso Exercse 7. (Ideal Gas)

4 7... Quatu Verso Cosder a closed solated syste of volue V, partcle uber, ad eergy E. Let, E, wth,, E haltoa H wth egevalue E,.e., H E, E E, E E, E, I, be a coplete set of orthooral egestates of the E, E, where I s the detty operator. he probablty of fdg the syste state E, s P E, E,. he Gbbs etropy (7.) ca be wrtte ters of P as follows. Frst, we wrte S r l E E, l E, E E, E, E, l E, (7.4a), Usg E, E, E, E, P E, l E, l E, E, l P eq(7.4a) becoes E S P l P (7.4) (7.4b) Proof of (7.4b) A aalytc fucto f of the operator s defed by f d f! d where s obtaed by treatg as a ordary varable. herefore, d f E, f E, E, E,! d

5 d f P! d f P Maxzato Of S he equlbru values of P are those that axze the etropy subject to the costrat E r P (a) hs s equvalet to the varatoal proble S r S r where α s a Lagrage ultpler. Wth the help of (7.4), we have E E P l P P l P P l P P exp cost oralzato (a) the requres P (7.7) E whch s sply the postulate of equal probablty. A collecto of closed ad solated systes dstrbuted accordg to (7.7) s called a crocaocal eseble. he etropy (7.4) becoes S E l l E E E (7.8) Wth the detfcato of E as the therodyac teral eergy U, all other therodyac quattes ca be obtaed through the usual therodyac relatos.

6 7... Exercse 7. (Este Sold) A Este sold s a lattce of stes, each of whch s edowed wth depedet quatu haroc oscllators of the sae frequecy ω. he total eergy s where E M s the uber of quata o the th oscllator ad uber of quata preset. (a) What s the total uber of croscopc states for a gve E? (b) Fd the etropy S,. (c) Fd the heat capacty C. Aswer (a) he proble s to fd the uber of ways W to put quata to dstgushable stes. M E M the total detcal ow, a gve cofgurato ca be represeted as a le of M quata separated to parttos by walls. adjacet postos represet a ste wth o quata.] [ote: walls at hus, all possble cofguratos ca be geerated by perutatos of the cobed M+ quata ad walls "objects". [ote that the parttos, or stes, are dstgushable by vrtue of the order of ther postos the le.] Sce the quata ad walls theselves are dstgushable, we have M! W M!! () (b) Usg (7.8), we have S lw l M! M!! () For large M ad, we ca use the Strlg forula l! l l to wrte

7 S l M M M M l M M M M M M M l M M M M l M M () ow, settg du ds d de dm d we have S S E M Usg d x d l x x l x l x dx dx we have (4a) S M M M l l M M so that (4a) becoes l M l (4) M M exp exp M exp exp exp (5) so that M l l exp

8 M exp exp exp M l l exp M exp M l l exp exp M M l l exp exp Puttg these to () gves exp S l exp exp (6) (c) he teral eergy s M U E exp exp exp (7) Usg exp exp exp the heat capacty becoes C S U exp exp exp exp exp exp (8)

9 7... Classcal Verso Cosder a closed solated syste of volue V ad fxed partcle uber. Let ts eergy be costrated to the shell E E E wth E. he phase space volue of the eergy shell s,,,, E V E V E E, where E, V, s the structure fucto (area of the eergy surface). he equlbru probablty desty X l correspods to the axu of S dx X C X (7.) EH X EE subject to the oralzato costrat EH X EE dx X (7.9) Wth the help of the Lagrage ultpler, ths extreu proble becoes Usg we have dx l C EH X EE C C l l EH X EE (7.a) dx l C (7.) whch, sce s arbtrary, ca be satsfed oly f l C C exp K (7.b) Fro (7.9), we have K E V,,, so that E E V E X,, for E H E E otherwse (7.)

10 Eq(7.) thus becoes or S l C l E E C E E E E, V, S E, V, l (7.) C he costat C caot be detered classcally. Quatu echacally, the ucertaty prcple assgs a phase space volue of h to each state so that we have ad C C h! h for dstgushable partcles for dstgushable partcles where h s the Plac s costat. he serto the factor! oltza coutg. s called the correct It was orgally troduced by had to solve the Gbbs paradox: effect, t reoves the etropy of xg of dstgushable partcles. I a practcal calculato, t s ofte easer to wor wth the volue E, V, stead of the shell,, of thcess where E E E V each. Hece, E, V, E, V,. owards ths ed, we dvde to E / E E (7.) E E E ad EE / E E E E E E. Obvously, the volue of ay shell caot be larger tha the whole volue,.e., E, V, E, V, E shells, ad the outerost shell has the largest volue,.e., E, V, E, V, E E E E, V, E, V, E, V, ag the logarth gves E l E l l l E ow, l, E E Hece, (7.) becoes E E. Hece E E (7.4) (7.5) so that as, (7.5) ples l l. E

11 E, V, S E, V, l (7.6) C

12 7..4. Exercse 7. (Ideal Gas) Fd the etropy ad equato of state for a deal gas. Aswer Quotg the result fro Exercse 6., we have V E / E () For very large ad V, the etropy s gve by (7.6). Usg the dstgushable partcles value of C! h, we have S l E! h V E / l! h () / E l V l! h ow, for large, we have l! l l e (Strlg forula)! e so that l! l l / 5 5 5/ 5 l l l ad / / E 5/ 5 S l V l h / V 4 E 5 l h ()

13 hus, the etropy per partcle s / 4 e 5 s l v h where the lower case letters deote quattes per partcle. ote that the depedece of (4) of s the result of the! factor (4) C. ow, () s the fudaetal equato for the deal gas. VU / l 5/ S S We ca rewrtg t as (5) where S / 4 5 l h For fxed, we have so that dv du ds V U U S V U P V U S U V whch s the equato of state. V U

14 7.C. Este's Fluctuato heory 7.C.. 7.C.. Geeral Dscusso Flud Systes

15 7.C.. Geeral Dscusso Cosder a closed ad solated ergodc syste wth eergy wth shell E, E E. Accordg to (7.8), the etropy s S l E (7.7) where E s the uber of croscopc states shell E, E E. ow, subdvde the syste to cells ad deote the value of a state varable A cell by s therefore A. he probablty of fdg the syste the acrostate E, A,, A P E, A,, E, A,, A A (7.8) E where E A A s the uber of crostates satsfyg E A A Slarly, so that,,,,,, l,,, S E A A E A A (7.9) P E, A,, A exp S E, A,, A E (7.),,,. Accordg to the d law, S s a axu whe the syste s a equlbru state E, A,, A. he aylor expaso of S about ths state s S E A A S E A A g (7.),,,,,, j j, j where the st order ters vash sce the expaso s about a extreu ad A A (7.) g j S g j A A j [S s a axu] (7.) Puttg (7.) to (7.) gves

16 P α P E, A,, A C exp gj j, j C exp α Gα (7.4a) where α,,, G g j G, ad C exp S E, A,, A E Fro the oralzato codto, we have, C d d exp d dp α α Gα where C d exp Γ α Oβ ad O GO dag. Hece C C det G Hece det G P α exp α Gα (7.4) whch s vald oly for sall fluctuatos. by the Laplace trasfor α α h α h exp I D P We ow defe a "characterstc fucto" (7.4a) where hus, Dα d d

17 I Usg α α Gα h α det G D exp α h Oβ δ β h, where δ O h, we have, h α Gα h α ad so that μ Gμ δ Γ δ δ Γ δ h OΓ O h h G h μ μ Gμ det exp G I h exp h G h D exp h G h (7.6) hs s useful for calculatg oets sce fro (7.4a), we have h I D P h h α α ow, wth where I h h h h M M I h h G h, we have, h I M M M I hh j h h j h h j h M h h h G G j j j j j G h j G h j j (7.7a)

18 M h h j G j so that (7.7a) gves for odd j G (7.7) j As wth Ex.4.9, all oets of hgher order ca be expressed as lear cobatos of products of the d oets.

19 7.C.. Flud Systes 7.C... 7.C... Destes Fluctuatos

20 7.C... Destes We shall express all extesve varables by upper case letters, say, X, ad the correspodg destes by lower case letters, say, x. hus, X xv. Oe excepto to ths s the ass desty whch we wrte as M V. Usg dx Vdx xdv () the cobed st ad d law du ds PdV dm () becoes Vdu udv V ds d s P dv Sce ths s vald for arbtrary V ad dv, we ust have du ds d () u s P (4) where () s the cobed law ad (4) s the fudaetal equato wth destes as depedet varables. Cobg () ad (4), we get the Gbbs-Duhe equato sd dp d (5) Slarly, usg () ad collectg ters, we have S PV M V s s P V where (5) was used to get the last equalty. V s (6)

21 7.C... Fluctuatos Cosder a closed ad solated box of flud subdvded to cells. he fluctuatos of the etropy s gve by (.7) as [see Fg.7. for otatos], S S P V M (7.8) Accordg to (7.4), we have det G P S exp S P V M (7.9) where G s to be detered through (7.4) oce the depedet varables are decded. y eq(6) of secto 7.C..., we have S PV M V s (a) S where s ad V varables so that M V are destes. ext, we choose ad as depedet s s s c s (b) s (c) where the Maxwell relato g a f s u Puttg (b,c) to (a) gves s ca be gleaed fro the dagra c V s V where, accurate to order, we've replaced wth. Eq(7.9) thus becoes

22 det G V c P, exp whch, whe coparg wth suggests det G P α exp α Gα (7.4) α,,,,,, g j Vc V for j odd j eve (7.) otherwse so that ad det G g V c V P V c V, V c exp he d oets of the fluctuatos are gve by so that (7.) Vc V j d d j j exp g jj j g [odd tegral vashes] (7.,6) j j

23 V d exp V V (7.4) V c d exp V c V c (7.5) where we've used the Gaussa tegral forula [see, e.g., Ref, Appedx.4] exp dx x ax a

24 7.D. Caocal Eseble 7.D.. 7.D.. 7.D.. Probablty Desty Operator Systes Of Idstgushable Partcles Systes Of Dstgushable Partcles

25 7.D.. Probablty Desty Operator Cosder a closed but ot solated syste that ca exchage eergy but ot atter wth ts surroudgs. A collecto of such detcally prepared systes s called a caocal eseble. As wll be show below, the correspodg probablty dstrbuto descrbes a syste ept at costat teperature. Oce aga, the probablty desty operator s detered by axzg the etropy S. Sce the uber of partcles s fxed, we have the oralzato costrat r (7.7) where s the (fxed) uber of partcles. Furtherore, the free exchage of eergy s expected to stablze, at equlbru, to soe costat average value E,.e., r H E U (7.8) hus, the varatoal proble s S r r H E r l H E r l E H whch ca be satsfed oly f l H (7.4) E exp E H (7.4) he costrats (7.7-8) thus becoe E exp r exp H exp E r exp H H U (a) (b) Eq(a) gves the partto fucto

26 E Z r exp H exp (7.4) so that l Z (c) whle (b) becoes E exp U r H H Z ow, tag the average of (7.4) gves r l H E S U S l Z U E E Coparg wth the fudaetal equato for the Helholtz free eergy we have so that A U S E ad A l Z (7.44) A (c) A (7.4) Z exp r H exp (7.45) (7.4) H exp l Z H exp Z (7.46) whch s the probablty desty operator for the caocal eseble. Oce Z ad hece A s ow, all other therodyac quattes ca be calculated. For exaple, for A A, X,, we have A S Furtherore, A Y X X A ' X

27 U A S A A A A X X A X (e) ow, sce the caocal eseble oly specfes a fxed average E U expect fluctuatos E about ths value. he correspodg varace ca be calculated as follows. Startg wth the oralzato r exp A H we ca dfferetate wth respect to to get (7.47) A exp r A H A H X exp X r H A A H Dog t aga gves r exp A H A A H X X Usg (e) gves U r H E exp A H X U E E X, we.e., E U d U E d X X (7.49) CX sce both U ad E E C E E CX X (7.5) are proportoal to. hus, the therodyac lt (, V ), the relatve devato vashes,.e., the caocal eseble s equvalet to the crocaocal eseble.

28 7.D.. Systes Of Idstgushable Partcles As show Appedx, the states of a syste of dstgushable partcles ust be properly syetrzed wth respect to partcle terchages, aely, syetrc (+) for bosos ad atsyetrc () for feros. he trace of thus becoes r (7.5)! where oetu egestates are assued to tae the drect product for (7.5) a b l a b l whch says partcles,,, have oeta,,,, respectvely. hus, P P a b l,, P,, (7.5) where the su s over all possble perutatos of state dces. 7.D.a. Exercse 7. 7.D.b. Se-Classcal Lt 7.D.c. Exercse 7.4

29 7.D.a. Exercse 7. Copute the partto fucto Z for a deal gas of detcal partcles a cubc volue V L. For coveece, eglect the sp degrees of freedo. What approxatos ca be ade for a hgh ad low desty gas? Aswer For a partcle the box wth haltoa H p, the wave fucto s As xs ys z x x () x y z whch vashes at the walls at x, y, z, L a a provded where a x, y, z ad,,, L a ote: x ad x are learly depedet so that oly postve a eed be couted. he -partcle partto fucto s therefore Z exp exp x y L z x y z () Usg a a, we have, the therodyac lt, L L Z d d d x y z exp x y z L exp dx d y dz x y z L V V V V h (4)

30 where h (5) s the theral wavelegth, whch s a easure of the partcle s coherece legth. For detcal partcles, the haltoa s H p p p wth wave fucto [see Appedx ] s / a,,,,,, ab x x x x x x c a b c s / a where s a a, b, c /!! a, b, c,, P,, a b c a b c P P where s the occupato uber of state. Hece, for a b c,,,,,,,,, a b c a b c b c a c a b,,,,,, (7) b a c c b a a c b s a / a, b, c a, b, c (7')! a, a, b a, b, a b, a, a a, a, b (7a) s a, a, b a, a, b (7a') 6 a, a, a a, a, a (7b) s a, a, a a, a, a 6 (7b') he partto fucto s the, by eq(.), Z a, b, c a, b, c! a b c (6) where

31 exp H H H exp p p p so that for a b c,,,,, exp a b c a b c a b c a, b, c a, b, c exp a b c,,,, exp a a b a a b a b exp a b a, a, b a, a, b,,,, exp a a a a a a a 6exp a a, a, a a, a, a I vew of eqs(7,a,b), the su (6) ust be spltted to parts accordg to so that f abc a b c a b c a b c a c b a b c Z,,,, a b c a b c! a b c f a, a, b a, a, b a, a, a a, a, a a b a hus, for bosos,

32 Z exp a b c! a b c 6 exp a b 6 exp a a b a For feros, ow, Usg Z a! a b c exp a b c a Z exp a b ab a b, we have exp a b exp a b exp a a b ab a Z Z Z Usg a b c abc a b c a b c a c b a b c, we have exp a b c exp a b c a b c abc exp a b exp a a b a Z Z Z Z Z Z Z Z Z Hece, for feros, we have Z Z Z Z Z! For bosos, we have

33 Z Z Z Z Z! 6 Z Z Z 6Z Z Z Z Z! oth cases ca be cobed to gve Z Z Z Z Z! Usg (5), we have Z V V V V / /! V / /! V V (8) I the seclasscal lt (hgh ad large V), Z whch ples Z V (9)! V ()! V s sall so that for a partcle syste. ad resolves the Gbb's paradox. he factor! arses fro the quatu dstgushablty

34 7.D.b. Se-Classcal Lt As show Ex.7., Z should be caculated usg properly syetrzed bass states. However, as copared to the results obtaed fro usyetrzed bases, the ost sgfcat correcto s just the factor!, whch ca be added by had. Other correctos (exchage ad correlato effects) are proportoal to powers of / V. hus, they becoe eglgble the se-classcal lt of hgh ad sall. Hece, H Z,, e,, for hgh, low (7.54)!,, he o-teractg olecules a gas ca possess teral degrees of freedo. For exaple, the haltoa of a typcal olecule ay be wrtte as p H H rot H vb H el H ucl (7.55a) where the successve ters o the rght deote cotrbutos fro the traslatoal, rotatoal, vbratoal, electroc, ad ucleoc degrees of freedo, respectvely. he plct, ad usually vald, assupto of (7.55a) s of course that the varous degrees of freedo are decoupled. hus, for a gas of olecules cotaed fxed volue V, we have Z, exp V r H rot H vb! p H el H ucl (7.55) If the varous degrees of freedo are truly decoupled, the correspodg ters H wll coute wth oe aother. ow, sce A, A A e e e we ca wrte Z V Z Z Z Z Z!, tr rot vb el ucl Z Z Z Z Z! tr rot vb el ucl (7.56) For a se-classcal gas wth o teral degrees of freedo, we have, fro Ex.7.,

35 Z V ev! (7.57), V where the last equalty ade use of the Strlg forula! e vald for large. he Helholtz free eergy s ev A l Z l / V l (7.58) h so that A S V / V l h / 5 V l (7.59) h whch s just the Sacur-etrode equato frst troduced Ex...

36 7.D.c. Exercse 7.4 Cosder a cubc box of volue V L each wth sp / ad agetc oet. (a) Fd Z. (b) Fd U ad C V. (c) Fd M. Aswer cotag a deal gas of detcal atos, A agetc s appled to the syste. (a) Z Followg (7.56), we wrte Z Z Z () tr ag! where, as show Ex.7., V Z tr wth he agetc eergy s so that E s Z ag Hece, () becoes Z h s wth s exp s s V cosh V, cosh! () () ev cosh (b) U, C V Fro the defto (7.45) Z r exp H we have Z r H exp H Z r H Z E Z U so that

37 U Z Z V l Z V ote: as wll be show (c), U U S, so that t s actually a "ethalpy". Usg V l Z l e l l cosh h h we have U sh / cosh / tah tah (4) ad C V U V tah tah sech sech (5) (c) M Aalogous to the Helholtz free eergy (7.58), the agetc free eergy of the syste s gve by (see ote below), l Z

38 wth d Sd M d so that l Z M tah tah (6) ote: Cosder the o-agetc case H H where E U. hs ca be terpreted as the agetc case H H wth. Hece, H H correspods to E U S, M sce U depeds oly o extesve varables. herefore, the haltoa H H averages to E U U M H S,, whch s a "ethalpy". he correspodg caocal eseble thus gves rse to a "Gbbs eergy", l Z.

39 7.D.. Systes Of Dstgushable Partcles For dstgushable partcles, there s o eed for syetrzato. Hece, r,,,, (7.6),, Exercse 7.5 Este Sold Use the caocal eseble to calculate U ad C for a Este sold (see Ex.7.) Aswer Fro Ex.7., we have H () Wth egestates where,,, the partto fucto becoes Z r exp (),, exp,,,, exp exp exp exp exp exp exp exp ()

40 he Helholtz free eergy s, l A Z l exp l exp (4) he etropy s A S exp l exp exp exp l exp exp (5) he teral eergy s (see 7.D.) A U l exp exp exp exp exp exp (6) he heat capacty s U C exp exp

41 exp exp exp exp (7)

42 7.E. Heat Capacty Of A Debye Sold Cosder a sple crystalle sold wth oe ato at each lattce ste. Sce the sze ad shape of the sold are fxed acroscopcally, the oto of the atos ust be restrcted to oscllatos about ther equlbru postos. he degrees of freedo of such vbratos s, where s the uber of atos. If the apltudes of the vbratos are sall eough, the oscllatos becoe haroc,.e., the potetal eergy s quadratc atoc dsplaceets. hus, the atoc vbratos of a sold ca be approxated as a set of coupled haroc oscllators. y eas of a trasforato to the so-called oral coordates, the vbratos ca be de-coupled to depedet oral odes. ypcal easured values of the heat capacty of oatoc solds are show Fg. 7.. At hgh teperatures, CV approaches a costat value of 6 cal/k ole, agreeet wth the classcal theory. For low teperatures, CV ca oly be explaed ters of quatu theory. drops as, whch he Debye theory s a quatu theory of haroc oscllatos a cotuu. Accordg to classcal elastc theory, there are types of waves govered by the wave equatos c c u r, u t t u r, ul L t L t trasverse, doubly degeerate logtudal where c s the phase velocty. c L, ad are called soud waves. he propagatg odes thus obey lear dsperso Let the sold be a rectagular lattce of sdes Lx, Ly, L z. he oral odes are stadg waves whch vashes at the surfaces. vectors are hs eas the allowable wave

43 where where x, y, z ad,,, (a) L L a, wth a beg the lattce spacg, s the uber of stes the th drecto. hus, the total uber of stes s x y z. Wth each ste havg degrees of freedo, the total degrees of freedo s. I the quatzed verso of the theory, the haltoa s H, (7.6) L,, where the su over volves odes for each brach. he partto fucto s Z r exp, L,, exp,, Hece, exp exp sh l Z l sh E l Z cosh sh (7.6) exp exp exp exp

44 exp exp exp (7.64), where the average occupato of the ode,, exp s called the Plac's forula. he su over ca be approxated by a tegral d (7.65) where the desty of states -space,, ca be calculated fro eq(a) as so that L L L V x y z V d where the codto Usg, we have c V f d f V c fro eq(a) restrcts the tegrato to the st quadrat. V d f d f (b) where we've used the fact that tegrato of the agular part over the st quadrat gves st Q d d 8 Sug over the braches gves V f d f For the specal case that c f f, we have

45 where V f d f c V c c c c c L d f o restrct the total uber of odes to, we ust troduce a cutoff (Debye) frequecy so that D V c D d VD (7.68) c D 6 c V / c D (7.69) Defg the desty of states -space by we have g dg V c Eq(7.64) thus becoes 9 (7.7) D D E d g (7.7) where exp Wth the help of (7.7), we get D 9 E d D 4 D 9 D d D 8 exp (7.7) he heat capacty s therefore

46 C 9 D D d 4 exp exp 5 xd 4 dx x D x 9 x e e where x 9 dx D xd 4 x x e x e For low, we have 9 dx D xd xd 4 x x e x e. Usg we get dx e x e x 4 x C 4 5 D (7.74) whch s the faous Debye rule.

47 7.F. Order-Dsorder rastos he trasto fro a dsordered state to a ordered oe ca be studed usg ethods of equlbru statstcs. Cosder a lattce of sp / objects wth agetc oet. betwee objects further tha earest eghbors are assued eglgble. presece of a appled agetc feld, the haltoa of the syste s H s s s where s j j j, j (7.75) Iteractos I the dcates the oretato (up/dow) of the sp at ste alog the z-axs, s the teracto eergy, ad each par of stes couted oce., j deotes a su over earest eghbors wth hs s ow as the Isg odel. If j, the lowest eergy for happes whe all sps are parallel,.e., they are all up or all dow, both cases beg equally probable but ca be chose by a ftesal. hs correspods to ferroagets f j ; otherwse, the syste s ferragetc. Aalogously, the case j correspods to at-ferro or at-ferr- agets. he partto fucto s Z exp jss j s all cofg, j (7.76) where "all cofg" deotes the all cofg s,, s wth all s possble sp cofguratos,.e., I cotrast to the agetc teracto whch teds to alg the sps a orderly fasho, the presece of theral eergy teds to radoze the sp oretatos ad creases the etropy or degree of dsordered. hese copetg forces the leads to a order- dsorder phase trasto. 7.F.. 7.F.. Exact Soluto For A -D Lattce Mea Feld heory For A d-d Lattce

48 7.F.. Exact Soluto For A -D Lattce Cosder a -D lattce of stes wth j ad pose the perodc boudary codtos so that s s. For a gve sp cofgurato, the total eergy s E s s s s (7.77) he partto fucto s therefore, Z, exp ss s s s Uder the perodc boudary codto, we ca wrte s s s s s where we've used s s. Hece, Z, exp ss s s s s (7.78) o proceed, we troduce a trasfer-atrx P wth atrx eleets s P s exp ss s s (7.8) Usg for each ste the bases, P s foud to be P P P P P exp exp exp Puttg (7.8) to (7.78) gves exp, P P P P Z s s s s s s s s (7.79) s s Usg the copleteess relato s s s

49 we have, P r s Z s s P (7.8a) where are the egevalues of the atrx P. Sce P s syetrc, t ca O PO dag, where be dagoalzed by a orthogoal trasforato,.e., are the egevalues of P ad O P O O POO PO O PO O O OO. hus, dag dag.e.,. Solvg the secular equato we get exp exp det exp exp exp exp exp or wth roots exp cosh sh exp cosh exp cosh sh exp cosh cosh exp sh (7.8) so that (7.8a) becoes Z, (7.8) I the therodyac lt, the Gbbs free eergy per ste s g G, l, l l Z, l l l where we've used. Hece,

50 , l cosh cosh exp sh g (7.84) he order paraeter s s g sh sh cosh cosh exp sh cosh cosh exp sh sh cosh exp sh

51 7.F.. Mea Feld heory For A d-d Lattce Cosder the haltoa of a d-d sp lattce of stes ad j H s s s j, j (7.75) j j.. of s s s where.. stads for "earest eghbors" ad the / factor reoves the double coutg of each par of stes the double su. codtos are assued to reove ay spurous surface effects. 7.F.a. 7.F.b. 7.F.c. Mea Feld Heat Capacty Magetc Susceptblty ote that perodc boudary

52 7.F.a. Mea Feld I the ea feld approxato, oe sets j.. of s j s where s the uber of earest eghbors at each ste ad s s s the average sp at a ste. Eq(7.75) thus becoes H s s s where the effectve, or ea, feld eff s s to be detered self-cosstetly. ow, the partto fucto for (7.86) s exp Z r eff s s (7.86) eff r exp eff s expeff s cosh eff s (7.87) wth a Gbbs free eergy per ste the therodyac lt g, l l Z he probablty of havg sp so that l cosh eff exp Z eff s P s s at ste s exp eff s (7.89) cosh eff (7.88) s P s s s cosh eff s s exp s eff sh eff tah eff cosh eff tah s (7.9)

53 whch s the self-cosstet equato for s.

54 7.F.b. Heat Capacty For, we have s tah s tah s tah s (7.9) where C ad C (7.9a) Eq(7.9) ca be solved graphcally as show Fg.7.6. y specto, we have s s for or C C (7.9a) hus, C s the crtcal teperature of the ferroagetc phase trasto. If vewed as a order- dsorder trasto, s stads for the order paraeter. ypcal teperature depedece of s s show Fg.7.7. ote that (7.9a) predcts a fte C for all d ad s thus dsagreeet wth the exact result for d. fact, ea feld theores typcally overestate C for d. [see Chapter 8] Eq(7.9a) gves rse to partto fucto of I Z cosh s s cosh for ad a Gbbs free eergy per ste of [see (7.88)], C C g, l C l cosh s for C C (7.9) he teral eergy s, fro (7.86), U l Z H s s Hece, the heat capacty s s

55 C U s s s s Usg (7.9), we have s s sech s s (7.96) so that C sech s s sech s cosh s cosh s s s (7.97) C s cosh C C s (7.98) As approaches to C fro below,.e., C C or, eq(7.9) splfes s s s eglectg s soluto, we have s s where C hus, (7.98) becoes l C l C cosh

56 l cosh ow, cosh cosh so that l C l C ow, for C, we have s ad C. herefore, C s as show Fg.7.8.

57 7.F.c. Magetc Susceptblty We ow tur to the calculato of the agetc susceptblty M s (7.99) Fro (7.9), we get s s sech s (7.) sech s sech s (7.) cosh s Hece so that (7.) cosh s cosh s C C cosh s C cosh s C C C C (7.) C C cosh s

58 7.G. Grad Caocal Eseble A ope syste allows exchage of both heat ad atter wth ts surroudg. oth of ts eergy ad partcle uber fluctuate about ther equlbru values. A collecto of such detcal systes s called a grad caocal eseble. At equlbru, the Gbbs etropy costrats ad S r l r (7.4) r H E (7.5) r (7.6) s axzed subject to the Wth the help of the Lagrage ultplers, ad E, we have r l E H r l E H (7.7) l H (7.8) E.e., exp E H exp E ZG H (7.8a) where the grad partto fucto s defed as Z G exp exp E r H (7.9) ow, r 7.8 gves S E (7.) E.e., S l Z E G E

59 Coparg wth the fudaetal equato for the grad potetal : U S ' (.4) or ' S U we have l Z (7.) G E (7.a) ' (7.b) so that (7.8a,9) becoes exp H ' Z G ZG exp r exp H ' exp H ' (7.) (7.) Eq(7.) s the fudaetal equato for a ope syste fro whch all other therodyacal propertes ca be obtaed. For exaple, as dscussed secto (.F.5),, X, ' ad hus, d Sd YdX d ' S X ' ' 7.G.. Exercse G.. Fluctuatos Y X ' X

60 7.G.. Exercse 7.6 Cosder the photos equlbru sde a cubc box wth volue V L ad teperature at the walls. he photo eerges are c, where s the wavevector of the th stadg wave. Copute pressure P of ths photo gas. Aswer he allowed photo states are stadg waves that vash at the walls. hus, x, y, z wth j,, L for j x, y, z so that c c x y z L () ad L,, x y z d L d Sce there are trasverse odes for each, the su over odes s, f L, d f,, Whe f s depedet of polarzato, we have, f f d f L Sce ', the grad partto fucto s Z r exp H exp,,, exp, exp exp whch gves a grad potetal, V, l Z l exp, () ()

61 L l exp d Usg we have d f 4 d f 4 c c d f L d l exp c (a) ow, l exp d l exp I d exp l exp d exp (b) he st ter volves the fucto l f x x e x I partcular x x f l x e e x where we've used l x x x ad, by repeated applcato of the L'Hosptal rule, f x f ' l l x a g x x a g ' to get x x x! l x e l l l x x x x x x x e e e Also f l x l x x! l x l x x x!

62 l x l x x l x x! l l l! x x x x x x l x l x l x x x Hece, (b) becoes exp I d exp l x x l x x l x x x e dx x e x (c) ow, J dx x e x dx x e e x x dx x e x x e dx x e x y dy y e!!! where s the Rea zeta fucto. hus, (c) becoes I J! 4! 4 Hece, eq(a) s 4! L 4 L I c c 45 4 L c 45 he pressure s P V 4 c 45 4 (6) where c 5 s the Stefa- oltza costat.

63

64 7.G.. Fluctuatos he fxed quattes specfed a grad caocal eseble are, ', U E, ad hus, t s of terest to fd the fluctuatos E ad. Sce the dervato for the varace E s slar to that for the caocal eseble (see secto 7.D.), we shall cosder oly the case for here. Cobg the oralzato (7.4) wth (7.) gves r exp H ' where, X, '. hus, 7.4 ' (7.4) gves r exp ' ' H X ' X or ' X (7.4a) 7.4 ' whle gves r exp H ' ' ' X X ' ' X X ' ' ' X X X ' X [(7.4a) used] Hece, the devato s ' X ' X (7.5) he fractoal devato s

65 ' X / (7.6) whch vashes as. Hece, the grad caocal eseble approaches the caocal eseble the therodyac lt. I fact, all esebles gve the sae acroscopc (average) physcal quattes the therodyac lt. We ow attept to relate the devato (7.5) to drectly easurable quattes for the case of a PV syste. o ths ed, we start wth V ' ' V V Usg the dagra ' P V we have ' P V so that (a) becoes ' V (b) V V P ' V ' V V ow, the dagra (b) also gves P (a) V P V V ' ' V ' G V (d) P P P where we've used G ' ad dg Sd VdP ' d. Also fro (b), we have P (c) V V ' ' P ' V ' P V Sce ' ', P, we have ' ' ' V P P P V where (d) was used. Hece (c) becoes

66 V ' V V where V V P so that fally, wth the therodyac detfed wth the statstcal, eq(7.5) becoes (7.7) V

67 7.H. Ideal Quatu Gases I quatu echacs, the ucertaty prcple ples that detcal partcles ust be dstgushable sce there s o way to ascerta ther dettes whe the dstace betwee the s saller tha relatve oetu. p, where p s the ucertaty ther As was show the sp-statstcs theore of quatu feld theory, dstgushable partcles -D space ust obey ose-este (Fer-Drac) statstcs f they have tegral (half-tegral) sps. [ote: recet studes the o-tegral quatu hall effects as well as hgh C supercoductors led to the possble exstece -D systes of ayos that ca have arbtrary value of sps.] I geeral, quatu effects are ost otceable whe the syste s ear ts groud state,.e., low for acroscopc systes. For a deal gas of detcal partcles, the haltoa s where where H H H s the -partcle haltoa of the th partcle,.e., H p p s the oetu of the th partcle. If the partcles are cofed a rectagular volue V LxLyLz wth perodc boudary codtos, the allowable egevalues for p are p lx, ly, lz (7.9) Lx Ly L z where l,, for x, y, z. hose for H are (7.) where s s the sp copoet alog the z-axs. z I the -represetato, we have H wth

68 where s the uber of partcles state, exp ' Z V r H r exp ' exp '. he grad partto fucto s (7.8) exp ' For sp depedet haltoas, ths splfes to (7.8a) Z, V exp ' For bosos, there s o restrctos o s so that ZE, V, ' exp ' For feros,,, so that 7.H.. 7.H.. ZFD, V, ' exp ' ose-este Ideal Gases Fer-Drac Ideal Gases s s (7.) (7.)

69 7.H.. ose-este Ideal Gases 7.H.a. ascs 7.H.b. Itegrato 7.H.c. Pressure 7.H.d. uber 7.H.e. herodyac Lt 7.H.f. Heat Capacty 7.H.g. Hgh lt 7.H.h. Exercse 7.7

70 7.H.a. ascs For -sp free bosos, ZE, V, ' exp ' exp ' (7.) where,,, so that Dog the suato, we get. ZE, V, ' whch gves a grad potetal exp ', V, ' l Z, V, ' E E l exp ' he average uber of partcles s E ' V exp ' exp ' exp ' (7.5) (7.6) (7.4) where the s called the occupato uber of state ad exp ' where z exp ' exp s the fugacty. z z (7.7) [ ote: eagful usage of the fugacty as defed abopve requres the plct assupto of. A ore geeral defto s z exp '.] ow, the lowest value of s wth,, ad

71 exp ' z (7.8) z Sce the uber of partcles caot be egatve, we ust have exp ' or ' z whch ples z ad ' hus, addg partcles to the gas actually decreases ts teral eergy. he case ' eas that s o loger fxed. hs apples to photos, phoos, or ay bosos that serve as "carrer" of teractos. I the classcal lt vald for sall, we expect (7.7) to becoe the oltza dstrbuto exp. hs ca be acheved f z exp or, sce, f ad '. ', have o classcal lt. z. hus, the lt z for all, exp ' correspods to Icdetally, ths eas that, carrers of teractos, wth Of partcular terest s the case z for whch. hs eas the groud state s acroscopcally occuped ad we have a ose- Este codesato. Sce the groud state plays a proet role, we expect the stuato apples whe ad '. For exaple, as a helu lqud becoes a superflud, ts checal potetal drops fro a fte value to zero.

72 7.H.b. Itegrato For a acroscopc syste, we ca replace the suato over states wth tegrals,.e., V V d d p However, the possblty of a ose-este codesato eas that the state requres specal atteto. hus, V f ' d p f p where s the volue p-space occuped by the groud state, ad ' V s the p-space volue wth tae out. Sce V p f f d p f ' V f d p f p ' If f s sotropc,.e., f f p, the f f wth, we have 4V f f dp p f p p (7.) where the "radus" p p L wth of the groud state s gve approxately by L / V L / xlylz As a exaple, (7.6) becoes 4V dp p exp ' p z 4V z dp p z p exp p exp p ' z (7.)

73 Slarly, (7.5) becoes, V, ' l exp ' E 4V dp p p p l exp ' 4V l z dp p l zexp p p (7.) Settg x p p p where the theral wavelegth s gve by h (7.5) eq(7.) becoes 4 V f f dx x f x x 4 V f dx x f x x where x p hus, eq(7.) becoes L 4V (7.) E, V, ' l z dx x l z expx Slarly, eq(7.) gves x z 4V z dx x z (7.4) x exp x z

74 7.H.c. Pressure he pressure of the gas ca be obtaed fro (.) ad (7.) as P V E 4 l l exp V z dx x z x x (7.6a) Cosder ow the tegral l exp I z dx x z x z dx x exp x z / g / z z / where we've used the Gaussa tegral forula (7.7a) dx x exp x ad the defto g Hece z / z (7.7) z I z z 5/ 5/ 4 Fro (7.7), we see that, (cf. Fg.7.), g5/ g 5/ 5/ 5.4 (7.4) where s the Rea zeta fucto. ext, 5/ 4 g z

75 a l l exp z dx x z x a dx x z a l l a Hece, (7.6) becoes 4 P l z I z z V ote that sce l z g5/ z V (7.6) z, the cotrbuto of the groud state would have bee lost wthout the specal treatet of (7.).

76 7.H.d. uber he average partcle desty of the gas ca be obtaed fro (7.4) as V z 4 z dx x V z x exp x z (7.9a) Cosder ow the tegral K z dx x exp z x z (7.9b) Usg exp x l z exp x z z exp x exp x we have, fro (7.7a) that di K z z z d z z / dz dz z z / g / (7.9c) Aother, perhaps ore coo, for of (7.9b) ca be obtaed by puttg (7.9b) so that y x K z dy y z y e z dy y y z e (7.9d) ow, fro (7.9c), we have K z g/ z 4 ote that, (cf. Fg.7.), g/ g / /.6 (7.4) where s the Rea zeta fucto. ext, a a z l a exp x z a z dx x z l dx x z

77 Hece, (7.9a) becoes z 4 K z z V z z g V z / whch ca be used to obta '. z (7.9)

78 7.H.e. herodyac Lt We ow cosder the therodyac lts,, V wth V of the expressos P l z g5/ z V (7.6) z g/ z V z Obvously, for z, P g5/ z g/ z (a) (7.9) Hece, we eed oly cosder the case z, whch, as dscussed secto 7.H.a, correspods to the ose- Este codesato lt wth ' ad usually. For z, the st the ter (7.9),.e., l z V z z deotes the desty of partcles occupyg the groud state whe the syste s at teperature. If s ept costat, we have (b) (c) (d) z l V z z (e) Cobg (d) ad (c) turs (7.9) to g / g z / As ca be see Fg.7., for z z (7.45) g/ z s a ootocally creasg fucto of z wth a axu at z. hus, f we eep reducg whle eepg costat, C g / z wll becoe saller tha below a crtcal teperature C gve by

79 C g / / C g / C / g / / (7.48).6 For C, we have g / so that ad we have a ew phase characterzed by a acroscopc occupato of the groud state. he fracto of partcles the codesate s g/ C C / (7.49) Codesato ca also occur f we eep creasg whle eepg costat. the crtcal per partcle volue s gve by v C C (7.47) g / ote that also serves as the order paraeter of the phase trasto. he case thus dcates the coexstece of the "oral" ad "codesed" phases. A plot of vs s show Fg.7.. urg ow to the pressure as gve (7.6), we beg by wrtg (d) as so that hus x l x V x l Vx x or z V x V l l z l l V V V V V z l l V V V where we've used l a l a. If ths s cobed wth the fact that for z, a l l z V V the st ter eq(7.6) ca be dropped so that

80 g 5/ z z P for g 5/ z At the crtcal pot,, ad z, so that PC C g C 5/ Usg (7.47) ad (7.48) gves C (7.44) / PC g g/ vc C g/ v g C C / where we've used v 5/ g 5/ 5/ (7.5) C C. For C, (7.44,7) gves P g 5/ g v g C 5/ / (7.5a) rregardless of the fracto of partcles the codesed phase. hus, treatg (7.5a) as a fucto P P v where v v C gves the coexstece curve the P-v plae [see dotted le Fg.7.4]. For a gve, the rego to the left of the coexstece curve s the coexstece rego where P s a costat gve by (7.5a).

81 7.H.f. Heat Capacty Sce the depedet varables for a grad caocal eseble s, X, ', the etropy per ut volue ay be wrtte as S S s l V V V ' Usg the dagra P P, we have s S V Sce, g 5/ z P g 5/ z for z V '. (7.44) where z exp ' ad, we have ad z ' z V ' V ' ' z d g z g z dz 5/ 5/ V ' where we've used (7.4). hus, for z, ' g / z ' s g 5/ z 4 g5/ z g / z 5 ' g z g z 5/ / 5 ' g5/ z [see (7.45)] 5 g z l z (7.5a) 5/ Settg z, we have so that 5 s g for z s 5/ / as (7.5b), agreeet wth the rd law. ow, the heat capacty at costat desty s

82 c s ow, fro (7.45), we see that for z, g 4 / dg/ z z z dz z g z g z / / z so that / z z g/ g z z (7.5) Hece, for z, 5 c g 4 5/ z 5 g/ z g/ z z z z g/ z z 5 9 g (7.5a) 4 4 / g 5/ z g / z where (7.45) was used. For the case z, eq(7.5b) gves ote that 5 c g 4 g so that 5/ / / c s cotuous at C (7.5b) as show Fg.7.5.

83 7.H.g. Hgh Lt I the hgh lt, z so that becoes 4 g5/ z dx x l z expx (7.7) 4 g5/ z z dx x x exp 4 z z ow, by defto, g so that z z dg z z z g z dz herefore, we have, 5/ / / g z g z g z z as z Hece, (7.45) becoes / z exp ' (7.54) whle (7.44) splfes to z P (7.55) V Fally, the heat capacty (7.5a) becoes 5 z 9 c 4 4 (7.56) V

84 7.H.h. Exercse 7.7 Copute the varace for. Aswer Fro the defto r r exp H ' we have r exp H ' ' ' V V ' V () ow, for, we have z C z V g z Hece, wth z z ' V / z ad so that (7.9) gves () z dg z g z dz eq() becoes z V z g / z ' z V z V V V g / z g / z g / z where we've dropped the V g/ z g / z () ters sce they vashes as.

85 7.H.. Fer-Drac Ideal Gases 7.H.a. ascs 7.H.b. Itegrato 7.H.c. Pressure 7.H.d. uber 7.H.e. Low eperature Lt 7.H.f. Heat Capacty 7.H.g. Exercse H.h. Exercse 7.9

86 7.H.a. ascs For s-sp free feros, where s s ZFD, V, ' exp ' s s sz s exp ' s ad,,, so that we ve assued a sp depedet haltoa. Z FD s, V, ' exp ' s whch gves a grad potetal. Also, Dog the suato gves s exp ', V, ' l Z, V, ' FD FD l exp ' s he average uber of partcles s FD ' V s s exp ' g exp ' exp ' exp ' (7.6) (7.58) (7.59) where g s ad s called the occupato uber of state l ad g exp ' g z exp exp where z exp ' gz s the fugacty. z (7.6) [ ote: eagful usage of fugacty requres the plct assupto of ].

87 ow, (7.6) has o sgularty f all quattes are real. Hece, we ca have ', whch correspods to g. [see Fg.7.6]. At or, we have g for ' ' (7.6a) whch s a step fucto wth dscotuty at ' F. hs zero teperature checal potetal F s also called the Fer eergy. he agtude of the correspodg oetu p s called the Fer oetu. A F F pcturesque way to descrbe (7.6a) s to say that the feros are a Fer sea wth a Fer surface at. hs s a helpful reder that oly partcles ear the F surface are easly excted [see Fg.7.6]. he fact that F eas that addg partcles to the gas s "dffcult" sce t creases the teral eergy of the gas. I the classcal lt vald for sall, we expect (7.6) to becoe the oltza dstrbuto exp. hs ca be acheved f z exp or, sce, f ad '. z. hus, the lt z for all, exp ' correspods to

88 7.H.b. Itegrato For a acroscopc syste, we ca replace the suato over states wth tegrals,.e., V V d d p If f s sotropc,.e., f f p, the 4V f dp p f p (7.6) I practce, t s soetes ore coveet to wor wth eerges. o ths ed, we defe the desty of states by V d d V d ds where S s a space surface o whch the eergy has a costat value. For a free partcle, V d V V so that V 4 / d (7.6a) As a exaple, (7.6) becoes 4V dp p g exp p '

89 4V dp p gz exp p z (7.64) / V d g 4 exp ' / V d gz 4 exp z (7.64a) Slarly, (7.59) becoes FD V g dp p p 4V,, ' l exp ' 4V g dp p l z exp p / V g d l z exp 4 (7.6) (7.6a) Settg x p p p y x where the theral wavelegth s gve by h (7.5) eq(7.6,a) becoes 4 V f dx x f x V 4 dx x f x / V 4 dy y f y

90 V dy y f y (7.6b) ote that dx x f x dy y f y (7.6c) hus, eq(7.6) becoes 4V FD, V, ' g l exp dx x z x V g dy y l z exp y (7.6a) (7.6b) Slarly, eq(7.64) gves 4V g dx x exp V g dy y exp z x z y z z (7.64a) (7.64b)

91 7.H.c. Pressure he pressure of the gas ca be obtaed fro (.) ad (7.6a) as P FD 4 g dx x l z exp x V (7.65a) / g dy y l z exp y (7.65b) Cosder ow the tegral l exp I z dx x z x / dy y l z exp y where f Hece, z z dx x exp x z / f / z z / (7.65b) (7.66) z I z f5/ z 4 whle (7.65a) becoes P g f5/ z (7.65)

92 7.H.d. uber he average partcle desty of the gas ca be obtaed fro (7.64a) as V 4 g dx x exp z x z (7.64b) g dy y exp z y z (7.64c) ote that s a costat sce both ad V are ept costat the grad caocal eseble. Cosder ow the tegral K z dx x exp z x z / dy y exp z y z Usg expx l z exp x z z exp x exp x we have, fro (7.65b) that di z z K z z dz / z so that f z / z f z dy y exp y z (7.64d) or, wth ', f dy y y exp (7.64e) whch s the ore falar defto of the Fer tegral f. Hece K z f/ z 4 Hece, (7.64b) becoes

93 or g f/ z (7.67) z z z (7.67a) / / g ow, the st few coeffcets the verso of a seres x x b y y y y a x x are gve by (see Arfe ) b a b a a Applyg these to (7.67a) gves a b 5 a a a / / z (7.69) g g g whch gves the depedece of z ad hece '. Sce /, we have z as Sce z exp ' z as, ths eas ' as ' as

94 7.H.e. Low eperature Lt We ow tur to the evaluato of the Fer tegral f dy y y exp (7.64e) the lt of low or step fucto so that ts dervatve d exp y dy exp y. hus, y y exp s essetally a vashes everywhere except for y. o tae advatage of ths, we tegrate (7.64e) by part to get f dy exp y exp y y exp dy y y exp y exp y dy y y exp t t exp dt t [ t y exp ]! expt v dt t t!! exp ote that the su over has o upper lt f s ot a teger. For, we ca replace the lower lt of the tegral by so that! expt t f v dt t!! exp! v!! I

95 where I v!! t t exp I dt t (7.7) exp ow, tag t t, we have I d t t t t exp exp t exp t dt t exp exp dt t expt I t Hece, I for odd. For eve, we have j exp I dt t exp t exp t exp j j j dt t t j j j j! j j j whle fro (7.7), we have I. ow, j dt t j t! so that I! [ eve ] Puttg everythg together, we have f v I!!! wth!! 6 v (7.7a)

96 For exaple, (7.67) becoes Usg we have f g / / /!! 6 5!! g 4 ' ' (7.74) 6 / / / whch, for, becoes so that / 4 g ' / ' 4g hus, (7.74) ca be wrtte as so that / ' ' 6 g / / / F 8 / F (7.75) / ' F / ' 8 F / F / ' F / F F / F / F (7.76) F

97 7.H.f. Heat Capacty he teral eergy s gve by U H s V g dy y / exp z y z V 5 g f5/ where we've used (7.6b), (7.64e), Fro (7.7a), we have, ad z exp ' exp y 5 5/ / f5/!! 5 5/ / 5/ f 5 4. U V 5/ / g 5 4 Usg g we have 4 (7.74) 6 / / / g / 4 / / 6 / 4 8 so that / 4 8 U / 5/ / V V 5 5 / 5/ /

98 5 [ V ] Usg ' 5 ' ' F (7.76) F we have U F 5 F F F 5 F (7.77) 5 F so that C V U V F F (7.78) F

99 7.H.g. Exercse 7.8 Copute for. Aswer Fro we have, exp ' Z V r H Z r exp H ' ' V Z V Z r exp H ' ' Z so that Z Z ' V Z Z ' V Z Z Z ' ' V V ' V herefore ' V () For, eq(7.74) splfes to V 4 / ' () g / Hece gv 4 ' 4 gv ' / ()

100 gv ' V ow, () gves ' 4gV so that (4) becoes / / ' (4) / gv ' 4gV V / / g 4 V 4 V (5) Hece, by (), we have / g 4 V 4 V (6)

101 7.H.h. Exercse 7.9 See secto 7.H.b.

102 Suary ose-este Gases P l z g5/ z V z g/ z V z C / g / vc g /

Stationary states of atoms and molecules

Stationary states of atoms and molecules Statoary states of atos ad olecules I followg wees the geeral aspects of the eergy level structure of atos ad olecules that are essetal for the terpretato ad the aalyss of spectral postos the rotatoal

More information

Some Different Perspectives on Linear Least Squares

Some Different Perspectives on Linear Least Squares Soe Dfferet Perspectves o Lear Least Squares A stadard proble statstcs s to easure a respose or depedet varable, y, at fed values of oe or ore depedet varables. Soetes there ests a deterstc odel y f (,,

More information

Non-degenerate Perturbation Theory

Non-degenerate Perturbation Theory No-degeerate Perturbato Theory Proble : H E ca't solve exactly. But wth H H H' H" L H E Uperturbed egevalue proble. Ca solve exactly. E Therefore, kow ad. H ' H" called perturbatos Copyrght Mchael D. Fayer,

More information

Coherent Potential Approximation

Coherent Potential Approximation Coheret Potetal Approxato Noveber 29, 2009 Gree-fucto atrces the TB forals I the tght bdg TB pcture the atrx of a Haltoa H s the for H = { H j}, where H j = δ j ε + γ j. 2 Sgle ad double uderles deote

More information

Introduction. Free Electron Fermi Gas. Energy Levels in One Dimension

Introduction. Free Electron Fermi Gas. Energy Levels in One Dimension ree Electro er Gas Eergy Levels Oe Deso Effect of eperature o the er-drac Dstrbuto ree Electro Gas hree Desos Heat Capacty of the Electro Gas Electrcal Coductvty ad Oh s Law Moto Magetc elds heral Coductvty

More information

PRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION

PRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION PRACTICAL CONSIDERATIONS IN HUMAN-INDUCED VIBRATION Bars Erkus, 4 March 007 Itroducto Ths docuet provdes a revew of fudaetal cocepts structural dyacs ad soe applcatos hua-duced vbrato aalyss ad tgato of

More information

Solutions to problem set ); (, ) (

Solutions to problem set ); (, ) ( Solutos to proble set.. L = ( yp p ); L = ( p p ); y y L, L = yp p, p p = yp p, + p [, p ] y y y = yp + p = L y Here we use for eaple that yp, p = yp p p yp = yp, p = yp : factors that coute ca be treated

More information

( t) ( t) ( t) ρ ψ ψ. (9.1)

( t) ( t) ( t) ρ ψ ψ. (9.1) Adre Toaoff, MT Departet of Cestry, 3/19/29 p. 9-1 9. THE DENSTY MATRX Te desty atrx or desty operator s a alterate represetato of te state of a quatu syste for wc we ave prevously used te wavefucto. Altoug

More information

Lecture 07: Poles and Zeros

Lecture 07: Poles and Zeros Lecture 07: Poles ad Zeros Defto of poles ad zeros The trasfer fucto provdes a bass for determg mportat system respose characterstcs wthout solvg the complete dfferetal equato. As defed, the trasfer fucto

More information

MOLECULAR VIBRATIONS

MOLECULAR VIBRATIONS MOLECULAR VIBRATIONS Here we wsh to vestgate molecular vbratos ad draw a smlarty betwee the theory of molecular vbratos ad Hückel theory. 1. Smple Harmoc Oscllator Recall that the eergy of a oe-dmesoal

More information

Functions of Random Variables

Functions of Random Variables Fuctos of Radom Varables Chapter Fve Fuctos of Radom Varables 5. Itroducto A geeral egeerg aalyss model s show Fg. 5.. The model output (respose) cotas the performaces of a system or product, such as weght,

More information

Some results and conjectures about recurrence relations for certain sequences of binomial sums.

Some results and conjectures about recurrence relations for certain sequences of binomial sums. Soe results ad coectures about recurrece relatos for certa sequeces of boal sus Joha Cgler Faultät für Matheat Uverstät We A-9 We Nordbergstraße 5 Joha Cgler@uveacat Abstract I a prevous paper [] I have

More information

7.0 Equality Contraints: Lagrange Multipliers

7.0 Equality Contraints: Lagrange Multipliers Systes Optzato 7.0 Equalty Cotrats: Lagrage Multplers Cosder the zato of a o-lear fucto subject to equalty costrats: g f() R ( ) 0 ( ) (7.) where the g ( ) are possbly also olear fuctos, ad < otherwse

More information

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission /0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power

More information

Chapter 5 Properties of a Random Sample

Chapter 5 Properties of a Random Sample Lecture 6 o BST 63: Statstcal Theory I Ku Zhag, /0/008 Revew for the prevous lecture Cocepts: t-dstrbuto, F-dstrbuto Theorems: Dstrbutos of sample mea ad sample varace, relatoshp betwee sample mea ad sample

More information

The theoretical background of

The theoretical background of he theoretcal backgroud of -echologes he theoretcal backgroud of FactSage he followg sldes gve a abrdged overvew of the ajor uderlyg prcples of the calculatoal odules of FactSage. -echologes he bbs Eergy

More information

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best

best estimate (mean) for X uncertainty or error in the measurement (systematic, random or statistical) best Error Aalyss Preamble Wheever a measuremet s made, the result followg from that measuremet s always subject to ucertaty The ucertaty ca be reduced by makg several measuremets of the same quatty or by mprovg

More information

Standard Deviation for PDG Mass Data

Standard Deviation for PDG Mass Data 4 Dec 06 Stadard Devato for PDG Mass Data M. J. Gerusa Retred, 47 Clfde Road, Worghall, HP8 9JR, UK. gerusa@aol.co, phoe: +(44) 844 339754 Abstract Ths paper aalyses the data for the asses of eleetary

More information

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne.

KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS. Peter J. Wilcoxen. Impact Research Centre, University of Melbourne. KURODA S METHOD FOR CONSTRUCTING CONSISTENT INPUT-OUTPUT DATA SETS by Peter J. Wlcoxe Ipact Research Cetre, Uversty of Melboure Aprl 1989 Ths paper descrbes a ethod that ca be used to resolve cossteces

More information

1 Onto functions and bijections Applications to Counting

1 Onto functions and bijections Applications to Counting 1 Oto fuctos ad bectos Applcatos to Coutg Now we move o to a ew topc. Defto 1.1 (Surecto. A fucto f : A B s sad to be surectve or oto f for each b B there s some a A so that f(a B. What are examples of

More information

Summary of the lecture in Biostatistics

Summary of the lecture in Biostatistics Summary of the lecture Bostatstcs Probablty Desty Fucto For a cotuos radom varable, a probablty desty fucto s a fucto such that: 0 dx a b) b a dx A probablty desty fucto provdes a smple descrpto of the

More information

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution:

{ }{ ( )} (, ) = ( ) ( ) ( ) Chapter 14 Exercises in Sampling Theory. Exercise 1 (Simple random sampling): Solution: Chapter 4 Exercses Samplg Theory Exercse (Smple radom samplg: Let there be two correlated radom varables X ad A sample of sze s draw from a populato by smple radom samplg wthout replacemet The observed

More information

Introduction to local (nonparametric) density estimation. methods

Introduction to local (nonparametric) density estimation. methods Itroducto to local (oparametrc) desty estmato methods A slecture by Yu Lu for ECE 66 Sprg 014 1. Itroducto Ths slecture troduces two local desty estmato methods whch are Parze desty estmato ad k-earest

More information

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming

A New Method for Solving Fuzzy Linear. Programming by Solving Linear Programming ppled Matheatcal Sceces Vol 008 o 50 7-80 New Method for Solvg Fuzzy Lear Prograg by Solvg Lear Prograg S H Nasser a Departet of Matheatcs Faculty of Basc Sceces Mazadara Uversty Babolsar Ira b The Research

More information

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions

A Conventional Approach for the Solution of the Fifth Order Boundary Value Problems Using Sixth Degree Spline Functions Appled Matheatcs, 1, 4, 8-88 http://d.do.org/1.4/a.1.448 Publshed Ole Aprl 1 (http://www.scrp.org/joural/a) A Covetoal Approach for the Soluto of the Ffth Order Boudary Value Probles Usg Sth Degree Sple

More information

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II

Chapter 2 - Free Vibration of Multi-Degree-of-Freedom Systems - II CEE49b Chapter - Free Vbrato of Mult-Degree-of-Freedom Systems - II We ca obta a approxmate soluto to the fudametal atural frequecy through a approxmate formula developed usg eergy prcples by Lord Raylegh

More information

Debabrata Dey and Atanu Lahiri

Debabrata Dey and Atanu Lahiri RESEARCH ARTICLE QUALITY COMPETITION AND MARKET SEGMENTATION IN THE SECURITY SOFTWARE MARKET Debabrata Dey ad Atau Lahr Mchael G. Foster School of Busess, Uersty of Washgto, Seattle, Seattle, WA 9895 U.S.A.

More information

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin

d dt d d dt dt Also recall that by Taylor series, / 2 (enables use of sin instead of cos-see p.27 of A&F) dsin Learzato of the Swg Equato We wll cover sectos.5.-.6 ad begg of Secto 3.3 these otes. 1. Sgle mache-fte bus case Cosder a sgle mache coected to a fte bus, as show Fg. 1 below. E y1 V=1./_ Fg. 1 The admttace

More information

CHAPTER 4 RADICAL EXPRESSIONS

CHAPTER 4 RADICAL EXPRESSIONS 6 CHAPTER RADICAL EXPRESSIONS. The th Root of a Real Number A real umber a s called the th root of a real umber b f Thus, for example: s a square root of sce. s also a square root of sce ( ). s a cube

More information

L5 Polynomial / Spline Curves

L5 Polynomial / Spline Curves L5 Polyomal / Sple Curves Cotets Coc sectos Polyomal Curves Hermte Curves Bezer Curves B-Sples No-Uform Ratoal B-Sples (NURBS) Mapulato ad Represetato of Curves Types of Curve Equatos Implct: Descrbe a

More information

Long blade vibration model for turbine-generator shafts torsional vibration analysis

Long blade vibration model for turbine-generator shafts torsional vibration analysis Avalable ole www.ocpr.co Joural of Checal ad Pharaceutcal Research, 05, 7(3):39-333 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 Log blade vbrato odel for turbe-geerator shafts torsoal vbrato aalyss

More information

Third handout: On the Gini Index

Third handout: On the Gini Index Thrd hadout: O the dex Corrado, a tala statstca, proposed (, 9, 96) to measure absolute equalt va the mea dfferece whch s defed as ( / ) where refers to the total umber of dvduals socet. Assume that. The

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Postpoed exam: ECON430 Statstcs Date of exam: Jauary 0, 0 Tme for exam: 09:00 a.m. :00 oo The problem set covers 5 pages Resources allowed: All wrtte ad prted

More information

Class 13,14 June 17, 19, 2015

Class 13,14 June 17, 19, 2015 Class 3,4 Jue 7, 9, 05 Pla for Class3,4:. Samplg dstrbuto of sample mea. The Cetral Lmt Theorem (CLT). Cofdece terval for ukow mea.. Samplg Dstrbuto for Sample mea. Methods used are based o CLT ( Cetral

More information

The Mathematics of Portfolio Theory

The Mathematics of Portfolio Theory The Matheatcs of Portfolo Theory The rates of retur of stocks, ad are as follows Market odtos state / scearo) earsh Neutral ullsh Probablty 0. 0.5 0.3 % 5% 9% -3% 3% % 5% % -% Notato: R The retur of stock

More information

Lecture 3 Probability review (cont d)

Lecture 3 Probability review (cont d) STATS 00: Itroducto to Statstcal Iferece Autum 06 Lecture 3 Probablty revew (cot d) 3. Jot dstrbutos If radom varables X,..., X k are depedet, the ther dstrbuto may be specfed by specfyg the dvdual dstrbuto

More information

Algorithms behind the Correlation Setting Window

Algorithms behind the Correlation Setting Window Algorths behd the Correlato Settg Wdow Itroducto I ths report detaled forato about the correlato settg pop up wdow s gve. See Fgure. Ths wdow s obtaed b clckg o the rado butto labelled Kow dep the a scree

More information

3.1 Introduction to Multinomial Logit and Probit

3.1 Introduction to Multinomial Logit and Probit ES3008 Ecooetrcs Lecture 3 robt ad Logt - Multoal 3. Itroducto to Multoal Logt ad robt 3. Estato of β 3. Itroducto to Multoal Logt ad robt The ultoal Logt odel s used whe there are several optos (ad therefore

More information

SUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi

SUBCLASS OF HARMONIC UNIVALENT FUNCTIONS ASSOCIATED WITH SALAGEAN DERIVATIVE. Sayali S. Joshi Faculty of Sceces ad Matheatcs, Uversty of Nš, Serba Avalable at: http://wwwpfacyu/float Float 3:3 (009), 303 309 DOI:098/FIL0903303J SUBCLASS OF ARMONIC UNIVALENT FUNCTIONS ASSOCIATED WIT SALAGEAN DERIVATIVE

More information

The conformations of linear polymers

The conformations of linear polymers The coformatos of lear polymers Marc R. Roussel Departmet of Chemstry ad Bochemstry Uversty of Lethbrdge February 19, 9 Polymer scece s a rch source of problems appled statstcs ad statstcal mechacs. I

More information

We have already referred to a certain reaction, which takes place at high temperature after rich combustion.

We have already referred to a certain reaction, which takes place at high temperature after rich combustion. ME 41 Day 13 Topcs Chemcal Equlbrum - Theory Chemcal Equlbrum Example #1 Equlbrum Costats Chemcal Equlbrum Example #2 Chemcal Equlbrum of Hot Bured Gas 1. Chemcal Equlbrum We have already referred to a

More information

Simple Linear Regression

Simple Linear Regression Statstcal Methods I (EST 75) Page 139 Smple Lear Regresso Smple regresso applcatos are used to ft a model descrbg a lear relatoshp betwee two varables. The aspects of least squares regresso ad correlato

More information

ENGI 4421 Joint Probability Distributions Page Joint Probability Distributions [Navidi sections 2.5 and 2.6; Devore sections

ENGI 4421 Joint Probability Distributions Page Joint Probability Distributions [Navidi sections 2.5 and 2.6; Devore sections ENGI 441 Jot Probablty Dstrbutos Page 7-01 Jot Probablty Dstrbutos [Navd sectos.5 ad.6; Devore sectos 5.1-5.] The jot probablty mass fucto of two dscrete radom quattes, s, P ad p x y x y The margal probablty

More information

Chapter 9 Jordan Block Matrices

Chapter 9 Jordan Block Matrices Chapter 9 Jorda Block atrces I ths chapter we wll solve the followg problem. Gve a lear operator T fd a bass R of F such that the matrx R (T) s as smple as possble. f course smple s a matter of taste.

More information

The E vs k diagrams are in general a function of the k -space direction in a crystal

The E vs k diagrams are in general a function of the k -space direction in a crystal vs dagram p m m he parameter s called the crystal mometum ad s a parameter that results from applyg Schrödger wave equato to a sgle-crystal lattce. lectros travelg dfferet drectos ecouter dfferet potetal

More information

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K

ROOT-LOCUS ANALYSIS. Lecture 11: Root Locus Plot. Consider a general feedback control system with a variable gain K. Y ( s ) ( ) K ROOT-LOCUS ANALYSIS Coder a geeral feedback cotrol yte wth a varable ga. R( Y( G( + H( Root-Locu a plot of the loc of the pole of the cloed-loop trafer fucto whe oe of the yte paraeter ( vared. Root locu

More information

MEASURES OF DISPERSION

MEASURES OF DISPERSION MEASURES OF DISPERSION Measure of Cetral Tedecy: Measures of Cetral Tedecy ad Dsperso ) Mathematcal Average: a) Arthmetc mea (A.M.) b) Geometrc mea (G.M.) c) Harmoc mea (H.M.) ) Averages of Posto: a) Meda

More information

X ε ) = 0, or equivalently, lim

X ε ) = 0, or equivalently, lim Revew for the prevous lecture Cocepts: order statstcs Theorems: Dstrbutos of order statstcs Examples: How to get the dstrbuto of order statstcs Chapter 5 Propertes of a Radom Sample Secto 55 Covergece

More information

Point Estimation: definition of estimators

Point Estimation: definition of estimators Pot Estmato: defto of estmators Pot estmator: ay fucto W (X,..., X ) of a data sample. The exercse of pot estmato s to use partcular fuctos of the data order to estmate certa ukow populato parameters.

More information

Lecture 3. Sampling, sampling distributions, and parameter estimation

Lecture 3. Sampling, sampling distributions, and parameter estimation Lecture 3 Samplg, samplg dstrbutos, ad parameter estmato Samplg Defto Populato s defed as the collecto of all the possble observatos of terest. The collecto of observatos we take from the populato s called

More information

Special Instructions / Useful Data

Special Instructions / Useful Data JAM 6 Set of all real umbers P A..d. B, p Posso Specal Istructos / Useful Data x,, :,,, x x Probablty of a evet A Idepedetly ad detcally dstrbuted Bomal dstrbuto wth parameters ad p Posso dstrbuto wth

More information

X X X E[ ] E X E X. is the ()m n where the ( i,)th. j element is the mean of the ( i,)th., then

X X X E[ ] E X E X. is the ()m n where the ( i,)th. j element is the mean of the ( i,)th., then Secto 5 Vectors of Radom Varables Whe workg wth several radom varables,,..., to arrage them vector form x, t s ofte coveet We ca the make use of matrx algebra to help us orgaze ad mapulate large umbers

More information

THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE

THE ROYAL STATISTICAL SOCIETY HIGHER CERTIFICATE THE ROYAL STATISTICAL SOCIETY 00 EXAMINATIONS SOLUTIONS HIGHER CERTIFICATE PAPER I STATISTICAL THEORY The Socety provdes these solutos to assst caddates preparg for the examatos future years ad for the

More information

ESS Line Fitting

ESS Line Fitting ESS 5 014 17. Le Fttg A very commo problem data aalyss s lookg for relatoshpetwee dfferet parameters ad fttg les or surfaces to data. The smplest example s fttg a straght le ad we wll dscuss that here

More information

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))

Part 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971)) art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the

More information

1 Mixed Quantum State. 2 Density Matrix. CS Density Matrices, von Neumann Entropy 3/7/07 Spring 2007 Lecture 13. ψ = α x x. ρ = p i ψ i ψ i.

1 Mixed Quantum State. 2 Density Matrix. CS Density Matrices, von Neumann Entropy 3/7/07 Spring 2007 Lecture 13. ψ = α x x. ρ = p i ψ i ψ i. CS 94- Desty Matrces, vo Neuma Etropy 3/7/07 Sprg 007 Lecture 3 I ths lecture, we wll dscuss the bascs of quatum formato theory I partcular, we wll dscuss mxed quatum states, desty matrces, vo Neuma etropy

More information

Econometric Methods. Review of Estimation

Econometric Methods. Review of Estimation Ecoometrc Methods Revew of Estmato Estmatg the populato mea Radom samplg Pot ad terval estmators Lear estmators Ubased estmators Lear Ubased Estmators (LUEs) Effcecy (mmum varace) ad Best Lear Ubased Estmators

More information

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions.

Ordinary Least Squares Regression. Simple Regression. Algebra and Assumptions. Ordary Least Squares egresso. Smple egresso. Algebra ad Assumptos. I ths part of the course we are gog to study a techque for aalysg the lear relatoshp betwee two varables Y ad X. We have pars of observatos

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

MATH 247/Winter Notes on the adjoint and on normal operators.

MATH 247/Winter Notes on the adjoint and on normal operators. MATH 47/Wter 00 Notes o the adjot ad o ormal operators I these otes, V s a fte dmesoal er product space over, wth gve er * product uv, T, S, T, are lear operators o V U, W are subspaces of V Whe we say

More information

hp calculators HP 30S Statistics Averages and Standard Deviations Average and Standard Deviation Practice Finding Averages and Standard Deviations

hp calculators HP 30S Statistics Averages and Standard Deviations Average and Standard Deviation Practice Finding Averages and Standard Deviations HP 30S Statstcs Averages ad Stadard Devatos Average ad Stadard Devato Practce Fdg Averages ad Stadard Devatos HP 30S Statstcs Averages ad Stadard Devatos Average ad stadard devato The HP 30S provdes several

More information

ENGI 4421 Propagation of Error Page 8-01

ENGI 4421 Propagation of Error Page 8-01 ENGI 441 Propagato of Error Page 8-01 Propagato of Error [Navd Chapter 3; ot Devore] Ay realstc measuremet procedure cotas error. Ay calculatos based o that measuremet wll therefore also cota a error.

More information

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses

Johns Hopkins University Department of Biostatistics Math Review for Introductory Courses Johs Hopks Uverst Departmet of Bostatstcs Math Revew for Itroductor Courses Ratoale Bostatstcs courses wll rel o some fudametal mathematcal relatoshps, fuctos ad otato. The purpose of ths Math Revew s

More information

Can we take the Mysticism Out of the Pearson Coefficient of Linear Correlation?

Can we take the Mysticism Out of the Pearson Coefficient of Linear Correlation? Ca we tae the Mstcsm Out of the Pearso Coeffcet of Lear Correlato? Itroducto As the ttle of ths tutoral dcates, our purpose s to egeder a clear uderstadg of the Pearso coeffcet of lear correlato studets

More information

Department of Mechanical Engineering ME 322 Mechanical Engineering Thermodynamics. Ideal Gas Mixtures. Lecture 31

Department of Mechanical Engineering ME 322 Mechanical Engineering Thermodynamics. Ideal Gas Mixtures. Lecture 31 Departet of echacal Egeerg E 322 echacal Egeerg Therodyacs Ideal Gas xtures Lecture 31 xtures Egeerg Applcatos atural gas ethae, ethae, propae, butae, troge, hydroge, carbo doxde, ad others Refrgerats

More information

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions

Estimation of Stress- Strength Reliability model using finite mixture of exponential distributions Iteratoal Joural of Computatoal Egeerg Research Vol, 0 Issue, Estmato of Stress- Stregth Relablty model usg fte mxture of expoetal dstrbutos K.Sadhya, T.S.Umamaheswar Departmet of Mathematcs, Lal Bhadur

More information

( ) ( ) ( ( )) ( ) ( ) ( ) ( ) ( ) = ( ) ( ) + ( ) ( ) = ( ( )) ( ) + ( ( )) ( ) Review. Second Derivatives for f : y R. Let A be an m n matrix.

( ) ( ) ( ( )) ( ) ( ) ( ) ( ) ( ) = ( ) ( ) + ( ) ( ) = ( ( )) ( ) + ( ( )) ( ) Review. Second Derivatives for f : y R. Let A be an m n matrix. Revew + v, + y = v, + v, + y, + y, Cato! v, + y, + v, + y geeral Let A be a atr Let f,g : Ω R ( ) ( ) R y R Ω R h( ) f ( ) g ( ) ( ) ( ) ( ( )) ( ) dh = f dg + g df A, y y A Ay = = r= c= =, : Ω R he Proof

More information

Simulation Output Analysis

Simulation Output Analysis Smulato Output Aalyss Summary Examples Parameter Estmato Sample Mea ad Varace Pot ad Iterval Estmato ermatg ad o-ermatg Smulato Mea Square Errors Example: Sgle Server Queueg System x(t) S 4 S 4 S 3 S 5

More information

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS

UNIT 2 SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Numercal Computg -I UNIT SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS Structure Page Nos..0 Itroducto 6. Objectves 7. Ital Approxmato to a Root 7. Bsecto Method 8.. Error Aalyss 9.4 Regula Fals Method

More information

Unit 9. The Tangent Bundle

Unit 9. The Tangent Bundle Ut 9. The Taget Budle ========================================================================================== ---------- The taget sace of a submafold of R, detfcato of taget vectors wth dervatos at

More information

TESTS BASED ON MAXIMUM LIKELIHOOD

TESTS BASED ON MAXIMUM LIKELIHOOD ESE 5 Toy E. Smth. The Basc Example. TESTS BASED ON MAXIMUM LIKELIHOOD To llustrate the propertes of maxmum lkelhood estmates ad tests, we cosder the smplest possble case of estmatg the mea of the ormal

More information

1 Lyapunov Stability Theory

1 Lyapunov Stability Theory Lyapuov Stablty heory I ths secto we cosder proofs of stablty of equlbra of autoomous systems. hs s stadard theory for olear systems, ad oe of the most mportat tools the aalyss of olear systems. It may

More information

The Mathematical Appendix

The Mathematical Appendix The Mathematcal Appedx Defto A: If ( Λ, Ω, where ( λ λ λ whch the probablty dstrbutos,,..., Defto A. uppose that ( Λ,,..., s a expermet type, the σ-algebra o λ λ λ are defed s deoted by ( (,,...,, σ Ω.

More information

Growth of a Class of Plurisubharmonic Function in a Unit Polydisc I

Growth of a Class of Plurisubharmonic Function in a Unit Polydisc I Issue, Volue, 7 5 Growth of a Class of Plursubharoc Fucto a Ut Polydsc I AITASU SINHA Abstract The Growth of a o- costat aalytc fucto of several coplex varables s a very classcal cocept, but for a fte

More information

Chapter 11 Systematic Sampling

Chapter 11 Systematic Sampling Chapter stematc amplg The sstematc samplg techue s operatoall more coveet tha the smple radom samplg. It also esures at the same tme that each ut has eual probablt of cluso the sample. I ths method of

More information

DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS

DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS DIFFERENTIAL GEOMETRIC APPROACH TO HAMILTONIAN MECHANICS Course Project: Classcal Mechacs (PHY 40) Suja Dabholkar (Y430) Sul Yeshwath (Y444). Itroducto Hamltoa mechacs s geometry phase space. It deals

More information

MMJ 1113 FINITE ELEMENT METHOD Introduction to PART I

MMJ 1113 FINITE ELEMENT METHOD Introduction to PART I MMJ FINITE EEMENT METHOD Cotut requremets Assume that the fuctos appearg uder the tegral the elemet equatos cota up to (r) th order To esure covergece N must satsf Compatblt requremet the fuctos must have

More information

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM

EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM EVALUATION OF FUNCTIONAL INTEGRALS BY MEANS OF A SERIES AND THE METHOD OF BOREL TRANSFORM Jose Javer Garca Moreta Ph. D research studet at the UPV/EHU (Uversty of Basque coutry) Departmet of Theoretcal

More information

THE ROYAL STATISTICAL SOCIETY GRADUATE DIPLOMA

THE ROYAL STATISTICAL SOCIETY GRADUATE DIPLOMA THE ROYAL STATISTICAL SOCIETY 3 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA PAPER I STATISTICAL THEORY & METHODS The Socety provdes these solutos to assst caddates preparg for the examatos future years ad

More information

Bayes (Naïve or not) Classifiers: Generative Approach

Bayes (Naïve or not) Classifiers: Generative Approach Logstc regresso Bayes (Naïve or ot) Classfers: Geeratve Approach What do we mea by Geeratve approach: Lear p(y), p(x y) ad the apply bayes rule to compute p(y x) for makg predctos Ths s essetally makg

More information

STK4011 and STK9011 Autumn 2016

STK4011 and STK9011 Autumn 2016 STK4 ad STK9 Autum 6 Pot estmato Covers (most of the followg materal from chapter 7: Secto 7.: pages 3-3 Secto 7..: pages 3-33 Secto 7..: pages 35-3 Secto 7..3: pages 34-35 Secto 7.3.: pages 33-33 Secto

More information

Symmetry of the Solution of Semidefinite Program by Using Primal-Dual Interior-Point Method

Symmetry of the Solution of Semidefinite Program by Using Primal-Dual Interior-Point Method Syetry of the Soluto of Sedefte Progra by Usg Pral-Dual Iteror-Pot Method Yoshhro Kao Makoto Ohsak ad Naok Katoh Departet of Archtecture ad Archtectural Systes Kyoto Uversty Kyoto 66-85 Japa kao@s-jarchkyoto-uacjp

More information

12.2 Estimating Model parameters Assumptions: ox and y are related according to the simple linear regression model

12.2 Estimating Model parameters Assumptions: ox and y are related according to the simple linear regression model 1. Estmatg Model parameters Assumptos: ox ad y are related accordg to the smple lear regresso model (The lear regresso model s the model that says that x ad y are related a lear fasho, but the observed

More information

Chapter 10 Two Stage Sampling (Subsampling)

Chapter 10 Two Stage Sampling (Subsampling) Chapter 0 To tage amplg (usamplg) I cluster samplg, all the elemets the selected clusters are surveyed oreover, the effcecy cluster samplg depeds o sze of the cluster As the sze creases, the effcecy decreases

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Exam: ECON430 Statstcs Date of exam: Frday, December 8, 07 Grades are gve: Jauary 4, 08 Tme for exam: 0900 am 00 oo The problem set covers 5 pages Resources allowed:

More information

CS286.2 Lecture 4: Dinur s Proof of the PCP Theorem

CS286.2 Lecture 4: Dinur s Proof of the PCP Theorem CS86. Lecture 4: Dur s Proof of the PCP Theorem Scrbe: Thom Bohdaowcz Prevously, we have prove a weak verso of the PCP theorem: NP PCP 1,1/ (r = poly, q = O(1)). Wth ths result we have the desred costat

More information

h-analogue of Fibonacci Numbers

h-analogue of Fibonacci Numbers h-aalogue of Fboacc Numbers arxv:090.0038v [math-ph 30 Sep 009 H.B. Beaoum Prce Mohammad Uversty, Al-Khobar 395, Saud Araba Abstract I ths paper, we troduce the h-aalogue of Fboacc umbers for o-commutatve

More information

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory

C-1: Aerodynamics of Airfoils 1 C-2: Aerodynamics of Airfoils 2 C-3: Panel Methods C-4: Thin Airfoil Theory ROAD MAP... AE301 Aerodyamcs I UNIT C: 2-D Arfols C-1: Aerodyamcs of Arfols 1 C-2: Aerodyamcs of Arfols 2 C-3: Pael Methods C-4: Th Arfol Theory AE301 Aerodyamcs I Ut C-3: Lst of Subects Problem Solutos?

More information

Chapter 4 Multiple Random Variables

Chapter 4 Multiple Random Variables Revew for the prevous lecture: Theorems ad Examples: How to obta the pmf (pdf) of U = g (, Y) ad V = g (, Y) Chapter 4 Multple Radom Varables Chapter 44 Herarchcal Models ad Mxture Dstrbutos Examples:

More information

Outline. Point Pattern Analysis Part I. Revisit IRP/CSR

Outline. Point Pattern Analysis Part I. Revisit IRP/CSR Pot Patter Aalyss Part I Outle Revst IRP/CSR, frst- ad secod order effects What s pot patter aalyss (PPA)? Desty-based pot patter measures Dstace-based pot patter measures Revst IRP/CSR Equal probablty:

More information

Bounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy

Bounds on the expected entropy and KL-divergence of sampled multinomial distributions. Brandon C. Roy Bouds o the expected etropy ad KL-dvergece of sampled multomal dstrbutos Brado C. Roy bcroy@meda.mt.edu Orgal: May 18, 2011 Revsed: Jue 6, 2011 Abstract Iformato theoretc quattes calculated from a sampled

More information

Ideal multigrades with trigonometric coefficients

Ideal multigrades with trigonometric coefficients Ideal multgrades wth trgoometrc coeffcets Zarathustra Brady December 13, 010 1 The problem A (, k) multgrade s defed as a par of dstct sets of tegers such that (a 1,..., a ; b 1,..., b ) a j = =1 for all

More information

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations

Derivation of 3-Point Block Method Formula for Solving First Order Stiff Ordinary Differential Equations Dervato of -Pot Block Method Formula for Solvg Frst Order Stff Ordary Dfferetal Equatos Kharul Hamd Kharul Auar, Kharl Iskadar Othma, Zara Bb Ibrahm Abstract Dervato of pot block method formula wth costat

More information

Applying the condition for equilibrium to this equilibrium, we get (1) n i i =, r G and 5 i

Applying the condition for equilibrium to this equilibrium, we get (1) n i i =, r G and 5 i CHEMICAL EQUILIBRIA The Thermodyamc Equlbrum Costat Cosder a reversble reacto of the type 1 A 1 + 2 A 2 + W m A m + m+1 A m+1 + Assgg postve values to the stochometrc coeffcets o the rght had sde ad egatve

More information

5 Short Proofs of Simplified Stirling s Approximation

5 Short Proofs of Simplified Stirling s Approximation 5 Short Proofs of Smplfed Strlg s Approxmato Ofr Gorodetsky, drtymaths.wordpress.com Jue, 20 0 Itroducto Strlg s approxmato s the followg (somewhat surprsg) approxmato of the factoral,, usg elemetary fuctos:

More information

Lecture 9: Tolerant Testing

Lecture 9: Tolerant Testing Lecture 9: Tolerat Testg Dael Kae Scrbe: Sakeerth Rao Aprl 4, 07 Abstract I ths lecture we prove a quas lear lower boud o the umber of samples eeded to do tolerat testg for L dstace. Tolerat Testg We have

More information

Chapter 4 (Part 1): Non-Parametric Classification (Sections ) Pattern Classification 4.3) Announcements

Chapter 4 (Part 1): Non-Parametric Classification (Sections ) Pattern Classification 4.3) Announcements Aoucemets No-Parametrc Desty Estmato Techques HW assged Most of ths lecture was o the blacboard. These sldes cover the same materal as preseted DHS Bometrcs CSE 90-a Lecture 7 CSE90a Fall 06 CSE90a Fall

More information

CS 2750 Machine Learning. Lecture 7. Linear regression. CS 2750 Machine Learning. Linear regression. is a linear combination of input components x

CS 2750 Machine Learning. Lecture 7. Linear regression. CS 2750 Machine Learning. Linear regression. is a linear combination of input components x CS 75 Mache Learg Lecture 7 Lear regresso Mlos Hauskrecht los@cs.ptt.edu 59 Seott Square CS 75 Mache Learg Lear regresso Fucto f : X Y s a lear cobato of put copoets f + + + K d d K k - paraeters eghts

More information

D. L. Bricker, 2002 Dept of Mechanical & Industrial Engineering The University of Iowa. CPL/XD 12/10/2003 page 1

D. L. Bricker, 2002 Dept of Mechanical & Industrial Engineering The University of Iowa. CPL/XD 12/10/2003 page 1 D. L. Brcker, 2002 Dept of Mechacal & Idustral Egeerg The Uversty of Iowa CPL/XD 2/0/2003 page Capactated Plat Locato Proble: Mze FY + C X subject to = = j= where Y = j= X D, j =, j X SY, =,... X 0, =,

More information

CHAPTER 3 POSTERIOR DISTRIBUTIONS

CHAPTER 3 POSTERIOR DISTRIBUTIONS CHAPTER 3 POSTERIOR DISTRIBUTIONS If scece caot measure the degree of probablt volved, so much the worse for scece. The practcal ma wll stck to hs apprecatve methods utl t does, or wll accept the results

More information