Thermodynamics of Irreversible Processes across a Boundary: Elementary Principles

Size: px
Start display at page:

Download "Thermodynamics of Irreversible Processes across a Boundary: Elementary Principles"

Transcription

1 Thermodynamcs of Irreversble Processes across a Boundary: Elementary Prncples Jurgen M. Hong Department of Chemstry, Purdue Unversty 560 Oval Drve, West Lafayette, IN, , USA Tel: E-mal: jmh@purdue.edu Receved: August 17, 2011 Accepted: September 6, 2011 Publshed: November 1, 2011 do: /apr.v3n2p3 URL: Abstract The commonly used thermodynamc varables are generalzed so as to take account of rreversble processes across a thn boundary separatng a system from ts surroundngs. Ths permts one to relate heat transfer and work performance n rreversble processes to those carred out reversbly. The commonly used functons of state have been generalzed to nclude the contrbuton of rreversble changes to the entropy of the system. These contrbutons are specfed n terms of expermental observables. Keywords: Quasstatc rreversble processes, System-surroundng nteractons across a thn boundary, Generalzed thermodynamc functons of state, Specfcaton of entropy assocated wth rreversblty 1. Basc Commentary The magnfcent structure of thermodynamcs has been of mmense utlty n unfyng our understandng of physcal phenomena for over 170 years. The early developments that were based on the fundamental laws of thermodynamcs nvolved the concept of equlbrum and reversblty: systems were assumed to be ether n a statonary state, or all processes were assumed to proceed nfntely slowly so that the system never devated sgnfcantly from equlbrum condtons. Begnnng around the turn of the 20 th century, nvestgators extended the orgnal theores so as to nclude processes that nvolved frst order departures from the equlbrum state, by allowng the propertes of nterest to become local functons of poston and tme. Ths opened up a plethora of new effects and applcatons under the headng of nonequlbum thermodynamcs or extended thermodynamcs, whch are well documented n many revews, a selecton of whch s provded below (Mexner, 1954) (de Groot and Mazur, 1962) (Prgogne, 1967) (Gyarmat, 1970) (Haase, 1990) (Mueller and Rugger, 1996) (Jou, 1996) (Kondepud and Prgogne, 1998) (Hong, 2007). In ths connecton t may be of nterest to draw attenton to a recent complementary approach (Hong and Ben Amotz, 2005, 2008) (Ben Amotz and Hong, 2006), n whch the thermodynamc functons of state are enlarged to accommodate the contrbuton of rreversble processes to the entropy of the system. Ths s acheved by replacng the customary nequaltes n elementary treatments by equaltes. Such an approach fnds ts prncpal applcaton n dealng wth the transfer of matter, energy, and entropy across thn boundares, by forcng relevant thermodynamc varables to adhere to a strct predetermned tme dependence. As a prelude to ths approach, detaled n earler papers (Hoehn and Hong, 2011) (Hong and Hoehn, 2011), t was necessary to augment the conventonal approach to the frst and second laws through ncluson of rreversble processes. The am of the present paper s to revew ths partcular methodology. The theory, outlned below, certanly has antecedents cted n de Groot and Mazur (1962) and Gyarmat (1970), but those theoretcal studes focused more on what s now termed extended thermodynamcs, n whch emphass s placed on the dentfcaton of fluxes and thermodynamc forces n relaton to steady state condtons, rather than on the tme dependent phenomena studed n our earler publcatons. Contrbutons n the lterature drectly relevant to the current nvestgaton wll be referred to at approprate places. The author s not aware of any pror unfed dscusson of the materal covered n the present revew. 2. Prelmnares The unverse under study conssts of a system that s characterzed by temperature, pressure, and chemcal potentals that dffer from the correspondng ntensve varables of a reservor to whch the system s anchored va a thn nterlayer, as depcted n Fg. 1. For purposes of llustraton the dagram depcts the temperature profle Publshed by Canadan Center of Scence and Educaton 3

2 under consderaton: all processes are assumed to occur suffcently slowly that the system temperature remans unform throughout; the temperature T then changes smoothly but abruptly over the extenson of the separaton barrer untl t assumes the unform value T 0 of the system. Ths unformty assumpton restrcts us to the consderaton of quasstatc rreversble (QSI) phenomena,.e., condtons not too far removed from reversblty, so as to avod excesses such as turbulence, vortex formaton, and the lke. However, there s no restrcton on the magntude of the temperature dfference. Smlar consderatons apply to other ntensve varables, such as the pressure, or the varous chemcal potentals. The reservor s assumed to be of such mmense sze and to reman so well mxed that ts ntensve varables reman unaltered n any of the processes consdered below. Moreover, n conformty wth standard practce, we assume that all events wthn the reservor take place reversbly. The above unformty restrctons on ntensve varables may certanly be relaxed, but the resultng theory then becomes much more complex and obscures the fundamental prncples developed below. 3. Entropy Changes We begn wth a study of entropy changes durng an nfntesmal step of a partcular process, whch s frst carred out reversbly. Desgnate the entropy change of the unverse as ds u, and let t be wrtten as a sum of the entropy change ds of the system and the entropy change d a S 0 of the surroundngs. Then, accordng to the Second Law no change s ncurred n the entropy of the unverse; thus d a S u ds + d a S 0 = 0. (1a) Next, let the same step n the process wthn the system be carred out rreversbly. Snce entropy s a functon of state of the system, ds s the same as before; however, the entropy change n the surroundngs, desgnated by d b S 0, s now dfferent. The entropy change of the unverse s then governed by the nequalty d b S u ds + d b S 0 > 0. (1b) The use of nequaltes s at best awkward and carres no nformaton on the actual value of the varable of nterest. Hence t s apposte to ntroduce an entropy defct functon đθ > 0 for the express purpose of convertng Eq. (1b) nto an equalty, whereby t becomes possble to extend the standard methodology to rreversble phenomena: d b S u ds + d b S 0 - đθ = 0. (1c) At ths stage the quantty đθ s smply a bookkeepng devce. However, t becomes a meanngful quantty when we subtract (1a) from (1c) to obtan d b S 0 - d a S 0 = đθ, (1d) whch ndcates that đθ represents the entropy transferred between the system and the surroundngs when the nfntesmal step of nterest n the system s carred out rreversbly as opposed to reversbly. Hence, a study of đθ becomes mportant n ts own rght. We frst restrct attenton to heat exchanges takng place as a result of the temperature dfference between the system and the reservor. For ease of vsualzaton we assume that T 0 > T, so that n an nfntesmal step n the solated unt of system + surroundngs, any heat (đq) ganed by the system operatng at temperature T s lost by the surroundngs (đq 0 ) operatng at temperature T 0, whence đq = - đq 0. Durng a reversble process (r), where the surroundngs are at temperature T 0 nfntesmally above T, the correspondng entropy change of the system s gven by ds d r S = đ r Q/T, whence, by (1a), the entropy change n the surroundngs s gven by - d a S 0 = ds = đ r Q/T. (2a) For the same step executed rreversbly (), wth the temperature of the system at T and that of the surroundngs at T 0, the resultng heat exchange - đ b Q 0 = đ Q produces an entropy change n the surroundngs specfed by - d b S 0 = - đ b Q 0 /T 0 = đ Q/T 0, (2b) where we nvoked the reversblty of all processes n the reservor. On nsertng Eqs. (2a) and (2b) nto Eq. (1d) we obtan the fundamental relaton đ Q/T 0 = đ r Q/T - đθ. (3a) or ts equvalent đ Q = (T 0 /T) đ r Q - T 0 đθ = T 0 (ds đθ) (3b) 4 ISSN E-ISSN

3 đ r Q + (T 0 /T - 1) đ r Q - T 0 đ (3c) whch now relates the heat transferred rreversbly n the nfntesmal step to that transferred reversbly. Eq. (3b) duplcates the expresson derved by a dfferent method (Tolman and Fne 1948). Eq. (3a) clearly shows that đ Q < (T 0 /T) đ r Q = T 0 ds, (3d) and n the event that the reservor temperature approaches that of the system we obtan a more restrctve nequalty đ Q < đ r Q = TdS, (3e) whch s the famous Clausus nequalty. It apples when a reversble heat transfer trggers rreversble processes totally wth the system; Eq. (3d) s ts generalzaton, arsng from the double nequalty đ Q < đ r Q < (T 0 /T) đ r Q. In vew of the requrement (3e) whch automatcally allows for (3d) - the sum of the last two terms n Eq. (3c) must be negatve: (T 0 /T - 1) đ r Q - T 0 đθ < 0. (3f) Careful examnaton shows that the above relatons stll apply when T > T 0, whereby heat s transferred from the system to the reservor: n ths event đ Q s more negatve than đ r Q, whch s more negatve than (T 0 /T)đ r Q. Furthermore, the nequalty (3f) remans unaltered: when đ r Q < 0 the factor (T 0 /T - 1) s also negatve. Eq. (3b) may be turned around to read ds = đ Q/T 0 + đθ > đ Q/T 0, (3g) Thus, as s well known, n rreversble phenomena the total entropy change n the system s only partally compensated for by the transfer of heat across ts boundares, the remander beng attrbuted to the rreversblty effects totally wthn the system. Observe that t s the well-defned temperature of the reservor that enters ths relaton. Ths should be contrasted wth the usual expresson ds = đ r Q /T, where the entropy change s tracked by the reversble heat transfer at the common temperature T. However, Eq. (3g) becomes useful only after methods are developed below that specfy đθ n terms of expermentally measurable quanttes, as shown below. It s noteworthy that for processes that occur n solaton Eq. (3g) reduces to δs = đθ > 0, (3h) where the δ symbol serves as a remnder of the specal condtons that preval. As s well establshed, ths equaton shows that all processes proceedng wthout outsde nterventon (after release of a constrant) ncrease the entropy of the system. Such changes take place rreversbly snce they are unaffected by outsde manpulatons. Successve ncrements produce a monotonc entropy ncrease untl a state of maxmum entropy s reached when the spontaneous process has run ts course, at whch pont δs = 0. Ths s the content of the famous dctum by Clausus that the entropy of the world (nowadays, we would say, of our unverse) tends toward a maxmum. 4. Performance of Work At ths pont we ntroduce the Frst Law of Thermodynamcs accordng to whch the energy E s a functon of state. Then de = đ r Q + đ r W = đ Q + đ W, (4a) where W s the work performed durng the process. On elmnatng đ Q between (3c) and (4a) we may solve for đ W = đ r W - (T 0 /T - 1) đ r Q + T 0 đθ = đ r W - (T 0 T)dS + T 0 đθ. (4b) The last two terms n Eq. (4b) dffer n sgn from those cted n Eq. (3f). It follows that đ W > đ r W. (4c) When the process s carred out under condtons where T and T 0 dffer only nfntesmally, đ W = đ r W + T 0 đθ, (4d) so that T 0 đθ may then also be nterpreted as the nfntesmal dfference n work performance under reversble, as opposed to rreversble condtons, where addtonal phenomena take place as a result of the rreversble heat transfer. Publshed by Canadan Center of Scence and Educaton 5

4 The above results are well known and accord wth ntuton. In any (nfntesmal) step the work performance s ndependent of the mode of operaton. That s, n a gven change de n energy of the system t does not matter whether ths process s executed n terms of mechancal, electrc, magnetc, or as any other type of work. Takng gravtatonal work as an example, t s ntutvely clear that n rreversbly lftng a weght aganst the force of gravty over a gven dstance, more work s expended than n dong ths reversbly. Hence, more generally n accord wth Eq. (4d), for any gven process we may set đ W > đ r W no matter what type of work s performed. Ths nequalty holds even when both quanttes are negatve: the system performs less useful work n an rreversble than n a reversble step (.e., đ W s less negatve than đ r W). In vew of (4c) or (3f), Eq. (4b) leads to an mportant nequalty: đθ > (1 - T/T 0 )ds, (4e) Here the rght hand sde s always postve, as explaned earler. Thus, đθ has as ts lower nontrval bound the quantty on the rght, whch exceeds zero when the temperature of the system dffers from that of the surroundngs. Eq. (4e) provdes useful nformaton on đθ n terms of expermentally determnable varables T, T 0, and ds. 5. Specfcaton of the Defct Functon A very sgnfcant feature of the present analyss s manfested by solvng Eq. (4b) for đθ = (đ W - đ r W)/T 0 + (1 T/T 0 )ds. (5a) Ths relaton allows one to determne the contrbuton of rreversble phenomena to the nfntesmal entropy change of any process (subject to the constrants ntroduced earler) n terms of quanttes that may be measured or calculated. Ths requres montorng the change n entropy of the system whle ncrementally carryng out a gven process, takng due account of the change n temperature T; heat capacty measurements may be used for ths purpose. Also, one needs to determne the total work requred for executng the same change reversbly and rreversbly, equvalent to notng by how much a gven weght changes heght n the earth s gravtatonal feld n the two processes. We note that n the absence of work performance Eq. (5a) reduces to đθ = (1/T 1/T 0 ) đ r Q, (5b) whch was derved elsewhere by dfferent means (Kestn, 1966). The frst term n Eq. (5a) was obtaned by a dfferent approach (Bejan, 1997). Eq. (5a) further provdes a thermodynamc background for the theoretcal work of Jarzynsk (1997) who related the average of repeated executons of rreversble mcroscopc processes to thermodynamc equlbrum processes. Ths work was confned to processes executed at constant temperature; the above relaton shows how ths analyss may be extended. We next consder alternatve methods for specfyng đθ. 6. Functons of State So far we have dscussed the propertes of path-dependent quanttes. We now turn to the development of functons of state under non-equlbrum condtons. Ths generalzes the conventonal development of state functons. 6.1 The Energy We begn wth a consderaton of the energy of a system. For ths purpose we frst apply the Frst Law of Thermodynamcs to the surroundngs, whose propertes are all desgnated by the subscrpt zero. For an open system the energy dfferental under the assumed reversble operatng condtons s specfed by de 0 = T 0 ds 0 - P 0 dv 0 + Σ μ 0 dn 0, (6a) where P 0 s the prevalng pressure, V 0 the volume, μ 0 the chemcal potental of speces, and n 0 s the correspondng mole number, all n the surroundngs. Let the closed unt of system + surroundngs be mantaned at a constant volume. In that event, when the solated unt undergoes rreversble processes, the system s subject to the constrants de = - de 0, ds 0 d b S 0 = - ds + đθ (See Eq. (1c)), dv 0 = - dv, and dn 0 = - dn, so that the energy dfferental of the system s gven as de = T 0 ds - P 0 dv + Σ μ 0 dn - T 0 đθ. (6b) Ths relaton, nvolvng dfferent arguments, was derved by Kestn (1966). The ntensve varables appearng here are those of the surroundngs and are therefore well defned, even when processes wthn the system are 6 ISSN E-ISSN

5 rreversble. The extensve quanttes ds, dv, dn are the control varables for the energy of the system; đθ s determned as shown n Eq. (5) or by the expressons developed below. Hence, de s well defned n the QSI procedure even under non-equlbrum operatng condtons. If work other than mechancal s nvolved, approprate terms must be added to Eq. (6b) as a product of ntensve varables approprate to the relevant work reservor, and correspondng extensve varables for the system proper. It s nstructve to rewrte Eq. (6b) n the form de = (T 0 T)dS - (P 0 P)dV + Σ (μ 0 μ )dn + TdS - PdV + Σ μ dn - T 0 đθ, (6c) where the varables lackng the subscrpt zero refer to the propertes of the system. Eq. (6c) s the generalzed verson of the conventonal energy dfferental. Two specal stuatons are of nterest: Case (a). The nfntesmal step s executed reversbly, wth T = T 0, P = P 0, μ 0 = μ and đθ = 0; then (6c) reduces to the standard form de = TdS - PdV. + Σ μ dn. (6d) Case (b). Here one removes the system slghtly but rreversbly from ts equlbrum state wth ds = dv = dn = 0 (all ) by external nterventon, then removng the nterference and allowng the system to respond under these constrants. Ths process s characterzed va the relaton (6b): δe = - T 0 đθ, (6e) where the δ symbol serves as a remnder of the specal condtons under whch ths probng process s carred out. Thus, n the absence of normal drvng processes any ongong process occurs purely nternally, whle not beng subject to expermental control. Thus, wth đθ > 0 the energy of the system wll spontaneously dmnsh n ths step. On generalzng to fnte processes, the energy of the system wll contnue to decrease untl a state s reached where the spontaneous process ceases: then δe = 0, and the energy of the system has reached a mnmum consstent wth the appled constrants. Ths s a statement that the energy of a system undergong spontaneous processes wll decrease untl an equlbrum confguraton has been reached. Lastly snce E s a functon of state we may subtract (6d) from (6c) to obtan T 0 đθ = (T 0 T)dS - (P 0 P)dV + Σ (μ 0 μ )dn. (6f) Snce the quanttes on the rght are expermentally accessble the above equaton permts the determnaton of đθ n terms of S, V, and n as the control varables. However, the above quanttes are not generally the ones used n experments; we next develop alternatve expressons for đθ n terms of more readly accessble control parameters. 6.2 The Helmholtz Energy In a smlar manner we can construct the Helmholtz energy by ntroducng the defnton A = E TS, whch sensbly nvolves the temperature T of the system. Ths transforms the ndependent varable from S to T. Usng Eq. (6c) we then fnd that da = (T 0 T)dS - (P 0 P)dV + Σ (μ 0 μ )dn - SdT - PdV + Σ μ dn - T 0 đθ. (7a) However, snce A = A(T,V,n ), the control varables for the Helmholtz energy are supposed to be temperature, volume, and composton, whereas Eq. (7a) nvolves a mx of varables. As a remedy we express the entropy n terms of the applcable control varables by settng S = S(T,V,n ). Ths yelds the entropy n the approprate dfferental form Substtuton n (7a) then produces the expresson: ds = ( S/ T) V, n dt + ( S/ V) T, n dv + Σ ( S/ n ) T,V, n dn j (7b) da = (T 0 T)[( S/ T) V, n dt + ( S/ V) T, n dv + Σ ( S/ n ) T,V, n dn ] - (P 0 P)dV + Σ (μ 0 μ )dn - SdT - PdV + Σ μ dn - T 0 đθ. (7c) The partal dfferentals n the above relaton may be rewrtten n the followng manner: ( S/ T) V, n = C V /T, and ( S/ V) T, n = ( P/ T) V, n, where C V s the heat capacty at constant volume and composton, and where the j Publshed by Canadan Center of Scence and Educaton 7

6 approprate Maxwell relaton has been ntroduced. Also, we use the mathematcal dentty P/ T V,n V / T P,n / V / P T, n and then replace the numerator and denomnator by - αv and by - βv, where α and β are the sobarc coeffcent of expanson and the sothermal compressblty respectvely. We n S S / as the dfferental entropy at constant temperature, volume and composton of also set T, V, n j speces. In ths notaton, da = (T 0 T)[(C V /T)dT + (α/β) dv + Σ S dn ] -(P 0 P)dV + Σ (μ 0 μ )dn - SdT - PdV + Σ μ dn - T 0 đθ (7d) The above equaton specfes the dfferental of the Helmholtz functon under non-equlbrum condtons n terms of T, V, and the n. The assocated coeffcents nvolve measurable quanttes. Under constrant (a) n whch a reversble process s carred out wth T = T 0, P = P 0, μ = μ 0, and đθ = 0, the Helmholtz functon reduces to the standard form da = - SdT - PdV + Σ μ dn. (7e) Under constrant (b) we deform the system by external nterventon under the condtons dt = dv = dn = 0 to an adjacent state, and then release the system under these condtons. By analogy to the precedng dscusson the resultng process wll agan be spontaneous and subject to the relaton δa = - T 0 đθ, (7f) whch shows that n a spontaneous process the Helmholtz energy dmnshes and reaches a mnmum at equlbrum, consstent wth the ndcated constrants. Snce A s a functon of state we may subtract (7e) from (7d) to fnd T 0 đθ = (T 0 T)[(C V /T)dT + (α/β) dv + Σ S dn ] - (P 0 P)dV + Σ (μ 0 μ )dn, (7g) whch provdes a second scheme for determnng the entropy defct functon, here n terms of T, V, and n as relevant expermental varables; all the coeffcents nvolve measurable quanttes. 6.3 The Gbbs Energy Usng by now famlar methodology, we defne the Gbbs energy by the relaton G = E TS + PV. When converted to dfferental form, and on nserton of Eq. (7a), we obtan dg = (T 0 T)dS - (P 0 P)dV + Σ (μ 0 μ )dn - SdT + VdP + Σ μ dn - T 0 đθ (8a) as the expresson that holds under non-equlbrum condtons. However, the control varables n present crcumstances should be T, P, and composton. Therefore, followng the above recpe, we must express the entropy n the form S = S(T,P,n ) and the volume as V = V(T,P,n ), wth correspondng dfferentals for ds and dv. On nsertng these n (8a) we obtan dg = (T 0 T)[( S/ T) P, n dt + ( S/ P) T, n dp + Σ ( S/ n ) T,P, n dn j ] - (P 0 P)[( V/ T) P, n dt + ( V/ P) T, n dp + Σ ( V/ n ) T,P, n j dn ] + Σ (μ 0 μ )dn - SdT + VdP + Σ μ dn - T 0 đθ. (8b) We next ntroduce the relatons ( S/ T) P, n = C P/T and the Maxwell relaton ( S/ P) T, n = - ( V/ T) P, n. As before, the partal dervatves - ( V/ P) T, n and ( V/ T) P, n are specfed by βv and by αv respectvely. ( S/ n ) T,P, n and ( V/ n j ) T,P, n represent partal molal entropes S j and volumes V. We then rewrte Eq. (8b) n the less unweldy form dg = (T 0 T)[(C P /T)dT - αvdp + Σ S dn ] - (P 0 P)[ αvdt 8 ISSN E-ISSN

7 - βvdp + Σ V dn ] + Σ (μ 0 μ )dn - SdT + VdP + Σ μ dn - T 0 đθ. (8c) Eq. (8c) s a generalzaton of the conventonal Gbbs functon whch holds under non-equlbrum condtons. We once more consder two cases. Under alternatve (a) we obtan the standard form dg = - SdT + VdP + Σ μ dn. (8d) Under alternatve (b) we contemplate a dsplacement of the system n the famlar manner from ts equlbrum value to an adjacent state under the constrants dt = dp = dn = 0, and then allow the system to undergo a spontaneous process back to the equlbrum state. Ths leads to the relaton δg = - T 0 đθ, (8e) whch shows that the Gbbs energy at equlbrum s a mnmum under the ndcated constrants. Note further that when (8d) s subtracted from (8c) we obtan T 0 đθ = (T 0 T)[(C P /T)dT - αvdp + Σ S dn ] - (P 0 P)[αVdT - βvdp + Σ V dn ] + Σ (μ 0 μ )dn, (8f) whch shows how one may determne the defct functon when T, P, and composton are the ndependent varables. 6.4 The Enthalpy Lastly, we turn to the enthalpy H = E + PV. By the customary technque we develop the dfferental form dh = de + PdV + VdP and then nsert Eq. (6c). We obtan dh = (T 0 T)dS - (P 0 P)dV + Σ (μ 0 μ )dn + TdS + VdP + Σ μ dn T 0 đθ. (9a) Snce H = H(S,P,n ), t s S, P, and composton that are regarded as control varables. We therefore consder the volume frst n the form V = V(P,T,n ). We next ntroduce the entropy as a functon of the same varables: S = S(P,T.n ), whch functon we nvert to read T = T(S,P,n ). Lastly, we nsert ths expresson nto the equaton of state: thus, V = V(P,T(S,P,n ),n ) V(S,P,n ). On takng the dfferental of ths latter relaton we fnd dv = ( V/ S) P, n ds + ( V/ P) S, n dp + ( V/ n ) S,P, n dn j. (9b) Then, substtutng (9b) nto (9a) we obtan dh = (T 0 T)dS - (P 0 P)[( V/ S) P, n ds + ( V/ P) S, n dp + ( V/ n ) S,P, n dn ] + Σ (μ 0 μ )dn + TdS + VdP + Σ μ dn - T 0 đθ. (9c) Ths specfes the enthalpy change n an nfntesmal step under nonequlbrum condtons. Under constrant (a) Eq. (9b) reduces to the standard form dh = TdS + VdP + Σ μ dn, (9d) whle under constrant (b), wth dp = ds = dn = 0 we obtan the result δh = - T 0 đθ, (9e) where agan we noted that the enthalpy change n such a spontaneous process s a mnmum under equlbrum condtons, subject to the relevant constrants. When (9d) s subtracted from (9c) we fnd that j Publshed by Canadan Center of Scence and Educaton 9

8 T 0 đθ = (T 0 T)dS - (P 0 P)[( V/ S) P, n ds + ( V/ P) S, n dp + Σ ( V/ n ) S,P, n dn ], + Σ (μ 0 μ )dn, (9f) whch yelds yet another formulaton for the defct functon that holds when S, P, and n are the varables of nterest. The mnma acheved by the above functons of state should be contrasted wth the maxmum that characterzes the entropy of an solated system undergong spontaneous processes. 7. Concludng Remarks Complementary to the standard methodology of rreversble thermodynamcs the above approach focuses on extendng the conventonal functons of state so as to nclude contrbutons arsng from rreversble processes. In partcular, ther contrbuton to the entropy of a system has been specfed n terms of applcable control varables. Ths serves as a bass for dealng wth exchange of matter, energy, and entropy across a narrow nterface between a system and ts surroundngs under non-equlbrum condtons. As shown elsewhere (Hoehn and Hong, 2011; Hong and Hoehn, 2011), the actual determnaton of the entropy s carred out by specfyng the tme dependence of all applcable control varables and then ntegratng the relevant relaton nvolvng đθ, namely (6f), (7g), (8f), or (9f). The prncpal restrcton, n common wth standard procedures, s that the changes must occur suffcently slowly that all ntensve quanttes n the system change unformly, but there s no lmt set on the dfference between these quanttes and those of the reservor to whch the system s anchored. Explct relatons have been provded, loc. ct., whch allow one to determne the contrbuton of rreversble processes to the entropy change of a system under prescrbed condtons, based on the use of Eqs. (8f) and (7g). It s hoped that the present treatment provdes further nsghts on how to deal wth rreversble phenomena wthn the framework of equlbrum thermodynamcs. Acknowledgments The author wshes to acknowledge wth grattude the many frutful conversatons wth hs collaborator, Professor Dor Ben Amotz, on the topcs dealt wth n ths artcle. References Bejan A. (1997). Advanced Engneerng Thermodynamcs, 2nd Ed. Wley, New York, p 135. Ben Amotz D. & Hong J.M. (2006). The Rectfed Second Law of Thermodynamcs. J. Phys. Chem. B, 110, pp Ben Amotz D. & Hong J.M. (2006). Average Entropy Dsspaton n Irreversble Mesoscopc Processes. Phys. Rev. Lett., 96, pp / de Groot S.R. & Mazur P. (1962). Non-Equlbrum Thermodynamcs. North Holland, Amsterdam. Gyarmat I. (1970). Non-equlbrum Thermodynamcs, Feld Theory and Varatonal Prncples. Sprnger Verlag, New York. Haase R. (1990). Thermodynamcs of Irreversble Processes. Dover, New York. Hoehn R. and Hong J.M. (2011). Analyss of Irreversble Processes across Narrow Junctons. Acta Phys. Polon. A, 119, pp Hong J.M. (2008). Thermodynamcs, Prncples Characterzng Chemcal and Physcal Processes, 3rd Ed., Academc Press, Amsterdam, Chap. 6. Hong J.M. & Ben Amotz D. (2005). The Analyss of Spontaneous Processes Usng Equlbrum Thermodynamcs. J. Chem. Ed., 83, pp Hong J.M. & Ben Amotz D. (2008). Rectfcaton of Thermodynamc Inequaltes as a Means of Characterzng Irreversble Phenomena. Chem. Educator, 13, pp Hong J.M. & Hoehn R. (2011). Entropy of Irreversble Processes across a Boundary. Open J. Chem. Eng., 5, pp Jarzynsk C. (1997). Non-Equlbrum Equalty for Free Energy Dfferences. Phys. Rev. Lett., 78 pp Jou D. (1996). Extended Irreversble Thermodynamcs. Sprnger Verlag, New York. j 10 ISSN E-ISSN

9 Kestn, J. (1966). A Course n Thermodynamcs. Blasdell, Waltham, MA, Chap. 13. Kondepud D & Prgogne I. (1998). Modern Thermodynamcs, from Heat Engnes to Dsspatve Structures, Wley, Chchester. Chaps Mexner J. (1954). Thermodynamk der Irreversblen Prozesse. Mezner, Aachen. Mueller I. & Rugger T. (1993). Extended Thermodynamcs, Sprnger Verlag, New York. Prgogne I. (1967). Introducton to Thermodynamcs of Irreversble Processes. Wley, New York. Tolman R.C. & Fne, P.C. (1948). On the Irreversble Producton of Entropy. Rev. Mod. Phys., 20, pp Fgure 1. Temperature Profle for a System at temperature T (left) Attached to a Reservor at Temperature T 0 (rght); the Temperature Dfference s confned to a Narrow Regon of Area A and Length l. Publshed by Canadan Center of Scence and Educaton 11

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

Review of Classical Thermodynamics

Review of Classical Thermodynamics Revew of Classcal hermodynamcs Physcs 4362, Lecture #1, 2 Syllabus What s hermodynamcs? 1 [A law] s more mpressve the greater the smplcty of ts premses, the more dfferent are the knds of thngs t relates,

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

Introduction to Statistical Methods

Introduction to Statistical Methods Introducton to Statstcal Methods Physcs 4362, Lecture #3 hermodynamcs Classcal Statstcal Knetc heory Classcal hermodynamcs Macroscopc approach General propertes of the system Macroscopc varables 1 hermodynamc

More information

Temperature. Chapter Heat Engine

Temperature. Chapter Heat Engine Chapter 3 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum ntropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 9 we dscussed the

More information

...Thermodynamics. If Clausius Clapeyron fails. l T (v 2 v 1 ) = 0/0 Second order phase transition ( S, v = 0)

...Thermodynamics. If Clausius Clapeyron fails. l T (v 2 v 1 ) = 0/0 Second order phase transition ( S, v = 0) If Clausus Clapeyron fals ( ) dp dt pb =...Thermodynamcs l T (v 2 v 1 ) = 0/0 Second order phase transton ( S, v = 0) ( ) dp = c P,1 c P,2 dt Tv(β 1 β 2 ) Two phases ntermngled Ferromagnet (Excess spn-up

More information

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform

Chemical Equilibrium. Chapter 6 Spontaneity of Reactive Mixtures (gases) Taking into account there are many types of work that a sysem can perform Ths chapter deals wth chemcal reactons (system) wth lttle or no consderaton on the surroundngs. Chemcal Equlbrum Chapter 6 Spontanety of eactve Mxtures (gases) eactants generatng products would proceed

More information

Solution Thermodynamics

Solution Thermodynamics Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs

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

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

Solution Thermodynamics

Solution Thermodynamics CH2351 Chemcal Engneerng Thermodynamcs II Unt I, II www.msubbu.n Soluton Thermodynamcs www.msubbu.n Dr. M. Subramanan Assocate Professor Department of Chemcal Engneerng Sr Svasubramanya Nadar College of

More information

Lecture. Polymer Thermodynamics 0331 L Chemical Potential

Lecture. Polymer Thermodynamics 0331 L Chemical Potential Prof. Dr. rer. nat. habl. S. Enders Faculty III for Process Scence Insttute of Chemcal Engneerng Department of Thermodynamcs Lecture Polymer Thermodynamcs 033 L 337 3. Chemcal Potental Polymer Thermodynamcs

More information

Thermodynamics and statistical mechanics in materials modelling II

Thermodynamics and statistical mechanics in materials modelling II Course MP3 Lecture 8/11/006 (JAE) Course MP3 Lecture 8/11/006 Thermodynamcs and statstcal mechancs n materals modellng II A bref résumé of the physcal concepts used n materals modellng Dr James Ellott.1

More information

Entropy generation in a chemical reaction

Entropy generation in a chemical reaction Entropy generaton n a chemcal reacton E Mranda Área de Cencas Exactas COICET CCT Mendoza 5500 Mendoza, rgentna and Departamento de Físca Unversdad aconal de San Lus 5700 San Lus, rgentna bstract: Entropy

More information

Thermodynamics General

Thermodynamics General Thermodynamcs General Lecture 1 Lecture 1 s devoted to establshng buldng blocks for dscussng thermodynamcs. In addton, the equaton of state wll be establshed. I. Buldng blocks for thermodynamcs A. Dmensons,

More information

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015

University of Washington Department of Chemistry Chemistry 453 Winter Quarter 2015 Lecture 2. 1/07/15-1/09/15 Unversty of Washngton Department of Chemstry Chemstry 453 Wnter Quarter 2015 We are not talkng about truth. We are talkng about somethng that seems lke truth. The truth we want

More information

Comparative Studies of Law of Conservation of Energy. and Law Clusters of Conservation of Generalized Energy

Comparative Studies of Law of Conservation of Energy. and Law Clusters of Conservation of Generalized Energy Comparatve Studes of Law of Conservaton of Energy and Law Clusters of Conservaton of Generalzed Energy No.3 of Comparatve Physcs Seres Papers Fu Yuhua (CNOOC Research Insttute, E-mal:fuyh1945@sna.com)

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

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

NAME and Section No.

NAME and Section No. Chemstry 391 Fall 2007 Exam I KEY (Monday September 17) 1. (25 Ponts) ***Do 5 out of 6***(If 6 are done only the frst 5 wll be graded)*** a). Defne the terms: open system, closed system and solated system

More information

NAME and Section No. it is found that 0.6 mol of O

NAME and Section No. it is found that 0.6 mol of O NAME and Secton No. Chemstry 391 Fall 7 Exam III KEY 1. (3 Ponts) ***Do 5 out of 6***(If 6 are done only the frst 5 wll be graded)*** a). In the reacton 3O O3 t s found that.6 mol of O are consumed. Fnd

More information

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity

LINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have

More information

A quote of the week (or camel of the week): There is no expedience to which a man will not go to avoid the labor of thinking. Thomas A.

A quote of the week (or camel of the week): There is no expedience to which a man will not go to avoid the labor of thinking. Thomas A. A quote of the week (or camel of the week): here s no expedence to whch a man wll not go to avod the labor of thnkng. homas A. Edson Hess law. Algorthm S Select a reacton, possbly contanng specfc compounds

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

The Order Relation and Trace Inequalities for. Hermitian Operators

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

More information

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model Lecture 4. Thermodynamcs [Ch. 2] Energy, Entropy, and Avalablty Balances Phase Equlbra - Fugactes and actvty coeffcents -K-values Nondeal Thermodynamc Property Models - P-v-T equaton-of-state models -

More information

Thermodynamics II. Department of Chemical Engineering. Prof. Kim, Jong Hak

Thermodynamics II. Department of Chemical Engineering. Prof. Kim, Jong Hak Thermodynamcs II Department of Chemcal Engneerng Prof. Km, Jong Hak Soluton Thermodynamcs : theory Obectve : lay the theoretcal foundaton for applcatons of thermodynamcs to gas mxture and lqud soluton

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

Thermodynamics Second Law Entropy

Thermodynamics Second Law Entropy Thermodynamcs Second Law Entropy Lana Sherdan De Anza College May 8, 2018 Last tme the Boltzmann dstrbuton (dstrbuton of energes) the Maxwell-Boltzmann dstrbuton (dstrbuton of speeds) the Second Law of

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

CHEMICAL REACTIONS AND DIFFUSION

CHEMICAL REACTIONS AND DIFFUSION CHEMICAL REACTIONS AND DIFFUSION A.K.A. NETWORK THERMODYNAMICS BACKGROUND Classcal thermodynamcs descrbes equlbrum states. Non-equlbrum thermodynamcs descrbes steady states. Network thermodynamcs descrbes

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

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

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2

Physics 607 Exam 1. ( ) = 1, Γ( z +1) = zγ( z) x n e x2 dx = 1. e x2 Physcs 607 Exam 1 Please be well-organzed, and show all sgnfcant steps clearly n all problems. You are graded on your wor, so please do not just wrte down answers wth no explanaton! Do all your wor on

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

More information

Appendix II Summary of Important Equations

Appendix II Summary of Important Equations W. M. Whte Geochemstry Equatons of State: Ideal GasLaw: Coeffcent of Thermal Expanson: Compressblty: Van der Waals Equaton: The Laws of Thermdynamcs: Frst Law: Appendx II Summary of Important Equatons

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

Statistical mechanics handout 4

Statistical mechanics handout 4 Statstcal mechancs handout 4 Explan dfference between phase space and an. Ensembles As dscussed n handout three atoms n any physcal system can adopt any one of a large number of mcorstates. For a quantum

More information

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

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

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

Electrical double layer: revisit based on boundary conditions

Electrical double layer: revisit based on boundary conditions Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer

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

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

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

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

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

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

Indeterminate pin-jointed frames (trusses)

Indeterminate pin-jointed frames (trusses) Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all

More information

Outline. Unit Eight Calculations with Entropy. The Second Law. Second Law Notes. Uses of Entropy. Entropy is a Property.

Outline. Unit Eight Calculations with Entropy. The Second Law. Second Law Notes. Uses of Entropy. Entropy is a Property. Unt Eght Calculatons wth Entropy Mechancal Engneerng 370 Thermodynamcs Larry Caretto October 6, 010 Outlne Quz Seven Solutons Second law revew Goals for unt eght Usng entropy to calculate the maxmum work

More information

Osmotic pressure and protein binding

Osmotic pressure and protein binding Osmotc pressure and proten bndng Igor R. Kuznetsov, KochLab Symposum talk 5/15/09 Today we take a closer look at one of the soluton thermodynamcs key ponts from Steve s presentaton. Here t s: d[ln(k off

More information

An identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites

An identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites IOP Conference Seres: Materals Scence and Engneerng PAPER OPE ACCESS An dentfcaton algorthm of model knetc parameters of the nterfacal layer growth n fber compostes o cte ths artcle: V Zubov et al 216

More information

Errors in Nobel Prize for Physics (7) Improper Schrodinger Equation and Dirac Equation

Errors in Nobel Prize for Physics (7) Improper Schrodinger Equation and Dirac Equation Errors n Nobel Prze for Physcs (7) Improper Schrodnger Equaton and Drac Equaton u Yuhua (CNOOC Research Insttute, E-mal:fuyh945@sna.com) Abstract: One of the reasons for 933 Nobel Prze for physcs s for

More information

Temperature. Chapter Temperature Scales

Temperature. Chapter Temperature Scales Chapter 12 Temperature In prevous chapters of these notes we ntroduced the Prncple of Maxmum Entropy as a technque for estmatng probablty dstrbutons consstent wth constrants. In Chapter 8 we dscussed the

More information

The Minimum Universal Cost Flow in an Infeasible Flow Network

The Minimum Universal Cost Flow in an Infeasible Flow Network Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran

More information

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices Internatonal Mathematcal Forum, Vol 11, 2016, no 11, 513-520 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/mf20166442 The Jacobsthal and Jacobsthal-Lucas Numbers va Square Roots of Matrces Saadet Arslan

More information

THE SUMMATION NOTATION Ʃ

THE SUMMATION NOTATION Ʃ Sngle Subscrpt otaton THE SUMMATIO OTATIO Ʃ Most of the calculatons we perform n statstcs are repettve operatons on lsts of numbers. For example, we compute the sum of a set of numbers, or the sum of the

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

CHAPTER 6. LAGRANGE S EQUATIONS (Analytical Mechanics)

CHAPTER 6. LAGRANGE S EQUATIONS (Analytical Mechanics) CHAPTER 6 LAGRANGE S EQUATIONS (Analytcal Mechancs) 1 Ex. 1: Consder a partcle movng on a fxed horzontal surface. r P Let, be the poston and F be the total force on the partcle. The FBD s: -mgk F 1 x O

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

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

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

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

and Statistical Mechanics Material Properties

and Statistical Mechanics Material Properties Statstcal Mechancs and Materal Propertes By Kuno TAKAHASHI Tokyo Insttute of Technology, Tokyo 15-855, JAPA Phone/Fax +81-3-5734-3915 takahak@de.ttech.ac.jp http://www.de.ttech.ac.jp/~kt-lab/ Only for

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

Chapter 5 rd Law of Thermodynamics

Chapter 5 rd Law of Thermodynamics Entropy and the nd and 3 rd Chapter 5 rd Law o hermodynamcs homas Engel, hlp Red Objectves Introduce entropy. Derve the condtons or spontanety. Show how S vares wth the macroscopc varables,, and. Chapter

More information

Monte Carlo method II

Monte Carlo method II Course MP3 Lecture 5 14/11/2006 Monte Carlo method II How to put some real physcs nto the Monte Carlo method Dr James Ellott 5.1 Monte Carlo method revsted In lecture 4, we ntroduced the Monte Carlo (MC)

More information

Edge Isoperimetric Inequalities

Edge Isoperimetric Inequalities November 7, 2005 Ross M. Rchardson Edge Isopermetrc Inequaltes 1 Four Questons Recall that n the last lecture we looked at the problem of sopermetrc nequaltes n the hypercube, Q n. Our noton of boundary

More information

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation Nonl. Analyss and Dfferental Equatons, ol., 4, no., 5 - HIKARI Ltd, www.m-har.com http://dx.do.org/.988/nade.4.456 Asymptotcs of the Soluton of a Boundary alue Problem for One-Characterstc Dfferental Equaton

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.

More information

Research Article Green s Theorem for Sign Data

Research Article Green s Theorem for Sign Data Internatonal Scholarly Research Network ISRN Appled Mathematcs Volume 2012, Artcle ID 539359, 10 pages do:10.5402/2012/539359 Research Artcle Green s Theorem for Sgn Data Lous M. Houston The Unversty of

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

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

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

Force = F Piston area = A

Force = F Piston area = A CHAPTER III Ths chapter s an mportant transton between the propertes o pure substances and the most mportant chapter whch s: the rst law o thermodynamcs In ths chapter, we wll ntroduce the notons o heat,

More information

Lecture 7: Boltzmann distribution & Thermodynamics of mixing

Lecture 7: Boltzmann distribution & Thermodynamics of mixing Prof. Tbbtt Lecture 7 etworks & Gels Lecture 7: Boltzmann dstrbuton & Thermodynamcs of mxng 1 Suggested readng Prof. Mark W. Tbbtt ETH Zürch 13 März 018 Molecular Drvng Forces Dll and Bromberg: Chapters

More information

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity 1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum

More information

A Novel Feistel Cipher Involving a Bunch of Keys supplemented with Modular Arithmetic Addition

A Novel Feistel Cipher Involving a Bunch of Keys supplemented with Modular Arithmetic Addition (IJACSA) Internatonal Journal of Advanced Computer Scence Applcatons, A Novel Festel Cpher Involvng a Bunch of Keys supplemented wth Modular Arthmetc Addton Dr. V.U.K Sastry Dean R&D, Department of Computer

More information

Chapter 11: Simple Linear Regression and Correlation

Chapter 11: Simple Linear Regression and Correlation Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests

More information

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2.

( ) 1/ 2. ( P SO2 )( P O2 ) 1/ 2. Chemstry 360 Dr. Jean M. Standard Problem Set 9 Solutons. The followng chemcal reacton converts sulfur doxde to sulfur troxde. SO ( g) + O ( g) SO 3 ( l). (a.) Wrte the expresson for K eq for ths reacton.

More information

Linear Approximation with Regularization and Moving Least Squares

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

More information

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

First Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force.

First Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force. Secton 1. Dynamcs (Newton s Laws of Moton) Two approaches: 1) Gven all the forces actng on a body, predct the subsequent (changes n) moton. 2) Gven the (changes n) moton of a body, nfer what forces act

More information

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure

CinChE Problem-Solving Strategy Chapter 4 Development of a Mathematical Model. formulation. procedure nhe roblem-solvng Strategy hapter 4 Transformaton rocess onceptual Model formulaton procedure Mathematcal Model The mathematcal model s an abstracton that represents the engneerng phenomena occurrng n

More information

High resolution entropy stable scheme for shallow water equations

High resolution entropy stable scheme for shallow water equations Internatonal Symposum on Computers & Informatcs (ISCI 05) Hgh resoluton entropy stable scheme for shallow water equatons Xaohan Cheng,a, Yufeng Ne,b, Department of Appled Mathematcs, Northwestern Polytechncal

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

Module 3: The Whole-Process Perspective for Thermochemical Hydrogen

Module 3: The Whole-Process Perspective for Thermochemical Hydrogen "Thermodynamc Analyss of Processes for Hydrogen Generaton by Decomposton of Water" by John P. O'Connell Department of Chemcal Engneerng Unversty of Vrgna Charlottesvlle, VA 2294-4741 A Set of Energy Educaton

More information

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014

University of Washington Department of Chemistry Chemistry 452/456 Summer Quarter 2014 Lecture 12 7/25/14 ERD: 7.1-7.5 Devoe: 8.1.1-8.1.2, 8.2.1-8.2.3, 8.4.1-8.4.3 Unversty o Washngton Department o Chemstry Chemstry 452/456 Summer Quarter 2014 A. Free Energy and Changes n Composton: The

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

Chapter 8. Potential Energy and Conservation of Energy

Chapter 8. Potential Energy and Conservation of Energy Chapter 8 Potental Energy and Conservaton of Energy In ths chapter we wll ntroduce the followng concepts: Potental Energy Conservatve and non-conservatve forces Mechancal Energy Conservaton of Mechancal

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4) I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes

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

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth

More information

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton

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

CHAPTER 14 GENERAL PERTURBATION THEORY

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

More information

Problem Set #6 solution, Chem 340, Fall 2013 Due Friday, Oct 11, 2013 Please show all work for credit

Problem Set #6 solution, Chem 340, Fall 2013 Due Friday, Oct 11, 2013 Please show all work for credit Problem Set #6 soluton, Chem 340, Fall 2013 Due Frday, Oct 11, 2013 Please show all work for credt To hand n: Atkns Chap 3 Exercses: 3.3(b), 3.8(b), 3.13(b), 3.15(b) Problems: 3.1, 3.12, 3.36, 3.43 Engel

More information

Global Sensitivity. Tuesday 20 th February, 2018

Global Sensitivity. Tuesday 20 th February, 2018 Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values

More information