1 / 36

3.7. Two Theorems: the “Equipartition” & the “Virial”

3.7. Two Theorems: the “Equipartition” & the “Virial”. Let. . . Equipartition Theorem. generalized coord. & momenta. Quadratic Hamiltonian :. . . . Fails if DoF frozen due to quantum effects. Equipartition Theorem f = # of quadratic terms in H. Virial Theorem. Virial =.

wiley
Download Presentation

3.7. Two Theorems: the “Equipartition” & the “Virial”

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 3.7. Two Theorems: the “Equipartition” & the “Virial” Let 

  2. Equipartition Theorem generalized coord. & momenta Quadratic Hamiltonian :    Fails if DoF frozen due to quantum effects Equipartition Theorem f = # of quadratic terms in H.

  3. Virial Theorem Virial = Virial theorem Ideal gas: f comes from collision at walls ( surface S ) :  Gaussian theorem :  Equipartition theorem :  d-D gas with 2-body interaction potential u(r) :  Virial equation of state Prob.3.14

  4. 3.8. A System of Harmonic Oscillators See § 7.3-4 for applications to photons & phonons. System of N identical oscillators : Oscillators are distinguishable :

  5. Equipartition :

  6. contour closes on the left contour closes on the right   as before

  7. Quantum Oscillators

  8. Equipartition : fails

  9.    Mathematica

  10. g ( E )

  11. Microcanonical Version Consider a set of N oscillators, each with eigenenergies Find the number  of distinct ways to distribute an energy E among them. Each oscillator must have at least the zero-point energy  disposable energy is R Positive integers •  = # of distinct ways to put R indistinguishable quanta (objects) • into N distinguishable oscillators (boxes). • = # of distinct ways to insert N1 partitions into a line of R object. 

  12. N = 3, R = 5 Number of Ways to Put R Quanta into N States # of distinct ways to put R indistinguishable quanta (objects) into Ndistinguishableoscillators (boxes). Mathematica

  13. S      same as before

  14. Classical Limit Classical limit :     equipartition

  15. 3.9. The Statistics of Paramagnetism System : N localized, non-interacting, magnetic dipoles in external field H. ( E = 0 set at H = 0 ) (Zrotcancels out ) Dipoles distinguishable   

  16. Classical Case (Langevin) Dipoles free to rotate. (c.f. Prob 2.2 ) ( Q , G even in H ) Langevin function Mathematica

  17. CuSO4 K2SO46H2O   Magnetization = Strong H, or Low T : Weak H, or High T : Isothermal susceptibility : ( paramagnetic ) Curie’s law C = Curie’s const

  18. Quantum Case J = half integers, or integers = gyromagetic ratio = Lande’s g factor g = 2 for e ( L= 0, S = ½ ) = (signed) Bohr magneton 

  19. ( Q , G even in e & H )

  20. ( M is even in e & // H ) = Brillouin function Mathematica

  21. Limiting Cases   Curie’s const =

  22. Dependence on J J  ( with g  0 so that  is finite ) :  x  , ~ classical case J= 1/2 ( “most” quantum case ) : g = 2  

  23. Gd2(SO4)3 · 8H2O J = 7/2, g = 2  FeNH4(SO4)2 · 12H2O, J = 5/2, g = 2  KCr(SO4)2 J = 3/2, g = 2

  24. 3.10. Thermodynamics of Magnetic Systems: Negative T J = ½ , g = 2    M is extensive; H, intensive. Note: everything except M is even in H. U here is the “enthalpy”.

  25. OrderedDisordered (Saturation)(Random) Mathematica

  26. Peak near  / kT ~ 1 ( Schottky anomaly )

  27. Absolute T • Two equivalent ways to define the absolute temperature scale : • Ideal gas equation. • Efficiency of a Carnot cycle. Dynamically unstable. Violation of the Kelvin & Clausius versions of the 2nd law. U is any thermodynamic potential with S as an independent variable. Definition of the temperature of a system : Impossible if Er is unbounded above.

  28. T < 0 Z finite T  0 if E is unbounded.  T < 0 possible if E is bounded. e.g., ( U is even in H ) Usually T > 0 implies U < 0. But T < 0 is also allowable if U > 0. U = 0 set at H = 0

  29.   Also

  30. Mathematica

  31. Heat Flow Flow of U (as Q) : High to low. T : 0     0+  :    small to large Mathematica

  32. Experimental Realization Let t1= relaxation time of spin-spin interaction. t2= relaxation time of spin-lattice interaction. Consider the case t1<< t2, e.g., LiF with t1= 105 s, t2= 5 min. System is 1st saturated by a strong H ( US =  HM < 0 ). H is then reversed. Lattice sub-system has unbounded E spectrum so its T > 0 always. For t1 < t < t2 , spin subsystem in equilibrium; M unchanged US = HM > 0  TS < 0. For t2 < t , spin & lattice are in equilibrium  T > 0 & U < 0 for both. T 300K T 350K NMR T (   + ) K

  33. T < 0 requires E bounded above: Usually, K makes E unbounded  T < 0 unusual T > 0 requires E bounded below: Uncertainty principle makes E bounded below  T > 0 normally

  34. T >> max   Let g = # of possible orientations (w.r.t. H ) of each spin  

  35. U is larger for smaller  • Energy flows from small  to large  •  negative T is hotter than T = +

More Related