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Foundations of Chemical Kinetics Lecture 6: Further studies of the Boltzmann distribution Marc R. Roussel Department of Chemistry and Biochemistry The Boltzmann distribution in classical mechanics One of the main differences between


  1. Foundations of Chemical Kinetics Lecture 6: Further studies of the Boltzmann distribution Marc R. Roussel Department of Chemistry and Biochemistry

  2. The Boltzmann distribution in classical mechanics ◮ One of the main differences between classical and quantum mechanics is that energy is not quantized in the former theory. ◮ Accordingly, in classical mechanics, it doesn’t make sense to ask for the probability that a molecule has exactly energy ǫ . The answer to this question is zero. ◮ The correct question to ask is what is the probability that a molecule has energy between two specified limits, i.e. what is P ( ǫ low ≤ ǫ ≤ ǫ high ) for some specified values of the two limits?

  3. The Boltzmann distribution in classical mechanics (continued) ◮ Define the density of states g ( ǫ ) such that g ( ǫ ) d ǫ is the number of states between energies ǫ and ǫ + d ǫ . ◮ Let ǫ o be the result of an observation of ǫ . Then, � � ǫ P ( ǫ ≤ ǫ o ≤ ǫ + d ǫ ) = g ( ǫ ) exp − d ǫ/ Q k B T or � ǫ high � � P ( ǫ low ≤ ǫ o ≤ ǫ high ) = 1 ǫ g ( ǫ ) exp − d ǫ Q k B T ǫ low

  4. Classical partition function ◮ Let A be the set of allowed energies. This will normally be an interval of energies, possibly semi-infinite. ◮ Using very similar reasoning to that used to obtain the quantum partition function, we get � � ǫ � Q = g ( ǫ ) exp − d ǫ k B T A

  5. Example: harmonic oscillator density of states A “calculation” based on the quantum-mechanical energy ◮ For the quantum-mechanical harmonic oscillator, the energy levels are equally spaced by � ω 0 . ◮ Provided ∆ ǫ ≫ � ω 0 , the number (∆ G ) of energy levels in an interval of size ∆ ǫ is therefore ∆ G ≈ ∆ ǫ � ω 0 ◮ By definition, the density of states is g ( ǫ ) = dG / d ǫ . Rearrange the last equation and take a “physicist’s limit” ∆ ǫ → 0: ∆ G 1 ∆ ǫ = � ω 0 ∆ G ∆ ǫ = dG 1 ∴ g ( ǫ ) = lim d ǫ = � ω 0 ∆ ǫ → 0

  6. The Arrhenius equation V x ) ( ε a reactant product x specific rate of reaction = (probability that ǫ > ǫ a ) × (specific rate of crossing if ǫ > ǫ a )

  7. The Arrhenius equation (continued) ◮ If the barrier is high enough, there will be many states below E a , so energy can be treated approximately as a continuous variable. � ∞ ǫ a g ( ǫ ) exp( − ǫ/ k B T ) d ǫ P ( ǫ > ǫ a ) = � ∞ 0 g ( ǫ ) exp( − ǫ/ k B T ) d ǫ ◮ Suppose that there is one, roughly constant, density of states below the top of the barrier and another above, i.e. that � g b for ǫ < ǫ a g ( ǫ ) = for ǫ > ǫ a g a

  8. The Arrhenius equation (continued) ◮ Then � ∞ g a ǫ a exp( − ǫ/ k B T ) d ǫ P ( ǫ > ǫ a ) = � ǫ a � ∞ g b 0 exp( − ǫ/ k B T ) d ǫ + g a ǫ a exp( − ǫ/ k B T ) d ǫ ◮ For a high barrier, very few states above the barrier will be populated compared to the number of states in the reactant well. Thus, � ∞ g a ǫ a exp( − ǫ/ k B T ) d ǫ P ( ǫ > ǫ a ) ≈ � ǫ a g b 0 exp( − ǫ/ k B T ) d ǫ ◮ For the same reason, we make only a small error by extending the range of integration in the denominator to infinity: � ∞ g a ǫ a exp( − ǫ/ k B T ) d ǫ P ( ǫ > ǫ a ) ≈ � ∞ g b 0 exp( − ǫ/ k B T ) d ǫ

  9. The Arrhenius equation (continued) � ∞ g a ǫ a exp( − ǫ/ k B T ) d ǫ P ( ǫ > ǫ a ) ≈ � ∞ g b 0 exp( − ǫ/ k B T ) d ǫ = − g a k B T exp( − ǫ/ k B T ) | ∞ ǫ a − g b k B T exp( − ǫ/ k B T ) | ∞ 0 = g a exp( − ǫ a / k B T ) = g a exp( − E a / RT ) g b g b ◮ Suppose that the specific rate at which molecules with sufficient energy cross the barrier is r . Then k = r g a exp( − E a / RT ) = A exp( − E a / RT ) g b

  10. The distribution of velocities ◮ The Boltzmann distribution ought to apply to kinetic energy: K = 1 2 mv 2 = m v 2 x + v 2 y + v 2 � � z 2 ◮ Sum of terms: apply Boltzmann distribution to each term independently. � − mv 2 p ( v x ) dv x = 1 � x Q exp dv x 2 k B T � ∞ � − mv 2 � x ∴ Q = exp dv x 2 k B T −∞ � = 2 π k B T / m � − mv 2 � m � x ∴ p ( v x ) dv x = 2 π k B T exp dv x 2 k B T

  11. The distribution of velocities (continued) p ( v x , v y , v z ) dv x dv y dv z = � 3 / 2 � � − m ( v 2 x + v 2 y + v 2 z ) � m exp dv x dv y dv z 2 π k B T 2 k B T This gives the probability density at a point in the velocity space, i.e. near particular values of ( v x , v y , v z ).

  12. The distribution of molecular speeds ◮ Speed v related to velocity components by v 2 = v 2 x + v 2 y + v 2 z ◮ The same speed is obtained at every point on a sphere satisfying this equation. ◮ dv x dv y dv z is a volume element. Integrated over the surface of a sphere of radius v , it gives 4 π v 2 dv . ◮ Distribution of speeds: � 3 / 2 � − mv 2 � � m p ( v ) dv = 4 π v 2 exp dv 2 π k B T 2 k B T or � 3 / 2 � − Mv 2 � � M p ( v ) dv = 4 π v 2 exp dv 2 π RT 2 RT

  13. The distribution of molecular speeds 0.0035 T = 100 K T = 200 K 0.003 T = 300 K 0.0025 p ( v )/s m -1 0.002 0.0015 0.001 0.0005 0 0 200 400 600 800 1000 v /m s -1

  14. Average speed ◮ Given a probability density p ( x ), the average of f ( x ) is given by � f ( x ) p ( x ) dx A where A is the region over which x is defined. ◮ For example, the average speed is � ∞ v = ¯ v p ( v ) dv 0 � ∞ � 3 / 2 � − mv 2 � � m 4 π v 3 = exp dv 2 π k B T 2 k B T 0 � 8 k B T = π m

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