Some terms that must be understood Microscopic Variable Macroscopic Variable 8.044 L5B1 Extensive (∝ N ) Intensive (= f (N )) V volume P pressure A area S surface tension L length F tension P polarization E electric field M magnetization H magnetic field ········· ········· T temperature U internal energy 8.044 L5B2 Adiabatic Walls Equilibrium Steady State Diathermic Walls Complete Specification: Independent and Dependent Variables 8.044 L5B3 Equation of State P V = N kT V = V0(1 + αT − KT P ) M = cH/(T − T0) T > T0 In Equilibrium with Each Other 8.044 L5B4 OBSERVATIONAL FACTS " 0 th Law" if A equilibrium C then A and B equilibrium equilibrium C B 8.044 L5B5 " Law 0.5 ? " YA Many macroscopic states of B can be in equilibrium with a given state of A YB A 1 B 1 XA YB = f (XB) also XA , YA XB 8.044 L5B6 THEOREM A "predictor" of equilibrium h(X, Y, ...) exists h(X, Y) • only in equilibrium • state variable • many states, same h • different systems, different functional forms • value the same if systems in equilibrium Y X locus of constant h 8.044 L5B7 XA , YA XC , YC XA , YA , XC , YC all free [ P A , V A , PC , V C ] equilibrium XA , YA XC , YC keep same adjust XC = f 1 (YC , XA , YA ) [ P C = PA V A / V C ] F1 (XC , YC , XA , YA ) = 0 [ PC V C - PA V A = 0 ] 8.044 L5B8 equilibrium XB , YB XC , YC adjust keep same XB = g (YB , XC , YC ) [ P B = PC V C / V B ] F2 (XC , YC , XB , YB ) = 0 [ PC V C - PB V B = 0 ] solve for X C XC = f 2 (YC , XB , YB ) [ P C = PB V B / V C ] same value as before 8.044 L5B9 f 1 (YC , XA , YA ) = XC = f 2 (YC , XB , YB ) 1 [ P A V A / V C = PB V B / V C ] equilibrium XA , YA XB , YB due to 0 th law F3 (XA , YA , XB , YB ) = 0 1 + 2 2 F3 factors YC drops out 8.044 L5B10 For this equilibrium condition h ( X , Y ) = constant = h ( X , Y ) A A B B 0,7B6SVV [ PA VA = P B VB ] 8.044 L5B11 YA YB A Isotherm at T 1 B 2 1 T2 1 T2 2 Isotherm at T 1 XA XB 8.044 L5B12 Empirical Temperature: t low density gas Y P PV/N = constant' 2 PV/N = constant 2 1 1 X V 8.044 L5B13 we could • Define t possible alternative cg PV/N t' cg' (PV/N)α • Use to find isotherms in other systems • Then in a simple paramagnet t = cm (M/H)-1 t' = cm' (M/H)-α Many possible choices for t 8.044 L• B • • • •a • PV = Nkt → t = PV/Nk P 1 0.8 t P 0.6 0.4 0.2 V 0 0 0.2 0.4 0.6 PV = constant 0.8 1 V 8.044 L5B14b t' = (PV/Nk) 2 P 1 0.8 t' P 0.6 0.4 0.2 V 0 0 0.2 0.4 0.6 PV = constant 0.8 1 V 8.044 L5B14c t'' = PV/Nk P 1 t'' 0.8 P 0.6 0.4 0.2 V 0 0 0.2 0.4 0.6 PV = constant 0.8 1 V 8.044 L5B14d Work dW differential of work done on the system = - (work done by the system) Hydrostatic system dW = -PdV dx F dW = Fdx = (PA)(-dV/A) = -PdV 8.044 L• •B• • • • F Wire dW = FdL F P pushes, F pulls dW = Fdx = (F)(dL) = FdL Surface dW = SdA wire 2 SL film (2 surfaces) F const raint fram e dW = Fdx = (SL)(dA/L) = SdA 8.044 L5B16 Chemical Cell (battery) dW = EEMF dZCHARGE Electric charges dW = EdP Magnetic systems Field in absence of matter as set up by external sources. Does not include energy stored in the field itself in the absence of the matter. dW = HdM 8.044 L5B17 • All differentials are extensive • Only -PdV has a negative sign • Good only for quasistatic processes • ∆W = a b dW depends on the path W is not a state function 8.044 L5B18 low density gas Y A P isotherm PV= NkT P2 b a B P1 X c b a V2 V1 V dW = YdX depends on Y(X) 8.044 L5B19 −P1(V2 − V1) = P1(V1 − V2) (a) W1→2 = (b) W1→2 = −P2(V2 − V1) = P2(V1 − V2) 2 2 N kT (c) W1→2 = − P (V ) dV = − 1 1 V dV = −N kT 2 dV 1 V 2 = N kT ln V1 = P V ln V1 = −N kT ln V 1 1 V1 V2 V2 8.044 L5B20 MATH I) 3 variables, only 2 are independent F (x, y, z) = 0 ⇒ x = x(y, z), ∂x 1 ⇒ = � � , ∂y ∂y z ∂x z y = y(x, z), z = z(x, y) � � � � ∂x ∂y ∂z ∂y z ∂z x ∂x y = −1 8.044 L5B21 Given some W = W (x, y, z) where only 2 of the 3 variables in the argument are independent, then along a path where W is constrained to be constant � ∂x ∂y � W � ∂y ∂z � W � ∂z ∂x � =1 W 8.044 L5B21a then it follows that ∂x ∂z w ∂x = ∂y w ∂y ∂z w II) State function of 2 independent variables S = S(x, y) ∂S ∂S dx + dy dS = ∂x y ∂y | {z } | {z x} ! A(x,y ) B(x,y) An exact differential 8.044 L5B22 ∂ 2S � ∂ 2S � ∂A ∂B = = = ∂y x ∂y∂x ∂x∂y ∂x y ⇒ necessary condition, but it is also sufficient Exact differential if and only Then � 2 1 � � ∂A ∂B = ∂y x ∂x y if dS = S(x2, y2) − S(x1, y1) is independent of the path. 8.044 L5B23 III) Integrating an exact differential dS = A(x, y) dx + B(x, y) dy 1. Integrate a coefficient with respect to one variable ∂S = A(x, y) ∂x y ! S(x, y) = Z | A(x, y) dx +f (y) y {z fixed } 8.044 L5B24 2. Differentiate result with respect to other variable Z d f (y) ∂S ∂ = A(x, y) dx + = B(x, y) ∂y x ∂y dy 3. Integrate again to find f (y) d f (y) = dy f (y) = ∂ B(x, y) − ∂y Z Z A(x, y) dx {· · ·} dy done 8.044 L5B25 MIT OpenCourseWare http://ocw.mit.edu 8.044 Statistical Physics I Spring 2013 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.