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Page 1: PROBABILITY DISTRIBUTIONS

PROBABILITY DISTRIBUTIONS

FINITE CONTINUOUS

∑ Ng = N Nv Δv = N

Page 2: PROBABILITY DISTRIBUTIONS

PROBABILITY DISTRIBUTIONS

FINITE CONTINUOUS

∑ Ng = N Nv Δv = N

Pg = Ng /N ∫Nv dv = N

Pv = Nv /N

Page 3: PROBABILITY DISTRIBUTIONS

PROBABILITY DISTRIBUTIONS

FINITE CONTINUOUS

∑ Ng = N Nv Δv = N

Pg = Ng /N ∫Nv dv = N

Normalized Pv = Nv /N

∑ Pg = 1 ∫Pv dv = 1

Page 4: PROBABILITY DISTRIBUTIONS

PROBABILITY DISTRIBUTIONS

FINITE CONTINUOUS

∑ Ng = N Nv Δv = N

Pg = Ng /N ∫Nv dv = N

Normalized Pv = Nv /N

∑ Pg = 1 ∫Pv dv = 1

< g> = ∑ g Pg < v > = ∫vPv dv

Page 5: PROBABILITY DISTRIBUTIONS

PROBABILITY DISTRIBUTIONS

FINITE CONTINUOUS

∑ Ng = N Nv Δv = N

Pg = Ng /N ∫Nv dv = N

Normalized Pv = Nv /N

∑ Pg = 1 ∫Pv dv = 1

< g> = ∑ g Pg < v > = ∫vPv dv

<g2> = ∑ g2 Pg < v2> = ∫v2 Pv dv

Page 6: PROBABILITY DISTRIBUTIONS

Velocity Distribution of Gases

• Maxwell Velocity Distribution for gases is

• N(v) dv = N 4πv2 (m/2πkT)3/2 e –mv^2/2kT dv

• where N is the number of molecules of mass m and temperature T.

Page 7: PROBABILITY DISTRIBUTIONS

Velocity Distribution of Gases

• Maxwell Velocity Distribution for gases is

• N(v) dv = N 4πv2 (m/2πkT)3/2 e –mv^2/2kT dv

• where N is the number of molecules of mass m and temperature T. If one divides by N and changes the differential element dv to d3v = dvx dvy dvz ,

Page 8: PROBABILITY DISTRIBUTIONS

Velocity Distribution of Gases

• Maxwell Velocity Distribution for gases is

• N(v) dv = N 4πv2 (m/2πkT)3/2 e –mv^2/2kT dv

• where N is the number of molecules of mass m and temperature T. If one divides by N and changes the differential element dv to d3v = dvx dvy dvz , then the normalized probability function F(v) is:

• F(v) = (m/2πkT)3/2 e –mv^2/2kT

Page 9: PROBABILITY DISTRIBUTIONS

Velocity Distribution of Gases

• This velocity probability distribution has all

the properties given before:

∫ F(v) d3v = 1

Page 10: PROBABILITY DISTRIBUTIONS

Velocity Distribution of Gases

• This velocity probability distribution has all

the properties given before:

∫ F(v) d3v = 1

and the mean velocity and the mean of the square velocity are:

<v> = ∫ v F(v) d3v <v2 > = ∫ v2 F(v) d3v

Page 11: PROBABILITY DISTRIBUTIONS

Velocity Distribution of Gases

• This velocity probability distribution has all

the properties given before:

∫ F(v) d3v = 1

and the mean velocity and the mean of the square velocity are:

<v> = ∫ v F(v) d3v <v2 > = ∫ v2 F(v) d3v

(remember d3v means one must do a triple integration over dvx dvy dvz )

Page 12: PROBABILITY DISTRIBUTIONS

Velocity Distribution of Gases

• The results of this are:

• <v> = √(8kT/(πm)) = 1.59 √kT/m

Page 13: PROBABILITY DISTRIBUTIONS

Velocity Distribution of Gases

• The results of this are:

• <v> = √(8kT/(πm)) = 1.59 √kT/m

• <v2> = √(3kT/m) = 1.73 √kT/m

Page 14: PROBABILITY DISTRIBUTIONS

Velocity Distribution of Gases

• The results of this are:

• <v> = √(8kT/(πm)) = 1.59 √kT/m

• <v2> = √(3kT/m) = 1.73 √kT/m

• If one sets the derivative of the probability function to zero (as was done for the Planck Distribution) one obtains the most probable value of v

Page 15: PROBABILITY DISTRIBUTIONS

Velocity Distribution of Gases

• The results of this are:

• <v> = √(8kT/(πm)) = 1.59 √kT/m

• <v2> = √(3kT/m) = 1.73 √kT/m

• If one sets the derivative of the probability function to zero (as was done for the Planck Distribution) one obtains the most probable value of v

• vmost prob = √(2kT/m) = 1.41√kT/m

Page 16: PROBABILITY DISTRIBUTIONS

Maxwell-Boltzmann Distribution

• Molecules with more complex shape have internal molecular energy. Boltzmann realized this and changed Maxwell’s Distribution to include all the internal energy. FM (v) FMB (v)

FMB (v) = (1/Z) e –E/kT

where Z = the normalization factor

Page 17: PROBABILITY DISTRIBUTIONS

Maxwell-Boltzmann Distribution

• Molecules with more complex shape have internal molecular energy.

Page 18: PROBABILITY DISTRIBUTIONS

Maxwell-Boltzmann Distribution

• Molecules with more complex shape have internal molecular energy. Boltzmann realized this and changed Maxwell’s Distribution to include all the internal energy. FM (v) FMB (v)

Page 19: PROBABILITY DISTRIBUTIONS

Maxwell-Boltzmann Distribution

• Molecules with more complex shape have internal molecular energy. Boltzmann realized this and changed Maxwell’s Distribution to include all the internal energy. FM (v) FMB (v)

FMB (v) = (1/Z) e –E/kT

where Z = the normalization factor

Page 20: PROBABILITY DISTRIBUTIONS

MOLECULAR INTERNAL ENERGY

• Diatomic, Triatomic and more complex molecules can rotate and vibrate about their symmetrical axes.

Page 21: PROBABILITY DISTRIBUTIONS

MOLECULAR INTERNAL ENERGY

• Diatomic, Triatomic and more complex molecules can rotate and vibrate about their symmetrical axes.

• EINT = < E > = ETRANS + EROT + EVIBR

Page 22: PROBABILITY DISTRIBUTIONS

MOLECULAR INTERNAL ENERGY

• Diatomic, Triatomic and more complex molecules can rotate and vibrate about their symmetrical axes.

• EINT = < E > = ETRANS + EROT + EVIBR

• ETRANS = < ETRANS > = ½ m <v2>

Page 23: PROBABILITY DISTRIBUTIONS

MOLECULAR INTERNAL ENERGY

• Diatomic, Triatomic and more complex molecules can rotate and vibrate about their symmetrical axes.

• EINT = < E > = ETRANS + EROT + EVIBR

• ETRANS = < ETRANS > = ½ m <v2>

• EROT = ½ Ix ωx2 + ½ Iy ωy

2 + ½ Iz ωz2

Page 24: PROBABILITY DISTRIBUTIONS

MOLECULAR INTERNAL ENERGY

• Diatomic, Triatomic and more complex molecules can rotate and vibrate about their symmetrical axes.

• EINT = < E > = ETRANS + EROT + EVIBR

• ETRANS = < ETRANS > = ½ m <v2>

• EROT = ½ Ix ωx2 + ½ Iy ωy

2 + ½ Iz ωz2

• Diatomic (2 axes) Triatomic (3 axes)

Page 25: PROBABILITY DISTRIBUTIONS

MOLECULAR INTERNAL ENERGY

• Diatomic, Triatomic and more complex molecules can rotate and vibrate about their symmetrical axes.

• EINT = < E > = ETRANS + EROT + EVIBR

• ETRANS = < ETRANS > = ½ m <v2>

• EROT = ½ Ix ωx2 + ½ Iy ωy

2 + ½ Iz ωz2

• Diatomic (2 axes) Triatomic (3 axes)

• EVIBR = - ½ k x2 VIBR (for each axis)

Page 26: PROBABILITY DISTRIBUTIONS

INTERNAL MOLECULAR ENERGY

• For a diatomic molecule then <E> = 5/2 kT

Page 27: PROBABILITY DISTRIBUTIONS

INTERNAL MOLECULAR ENERGY

• For a diatomic molecule then <E> = 5/2 kT

• One of the basic principles used in the Kinetic Theory of Gases is that each degree of freedom has an average energy

• of ½ kT.

Page 28: PROBABILITY DISTRIBUTIONS

INTERNAL MOLECULAR ENERGY

• For a diatomic molecule then <E> = 5/2 kT

• One of the basic principles used in the Kinetic Theory of Gases is that each degree of freedom has an average energy

• of ½ kT. Or <E> = (s/2) kT

Page 29: PROBABILITY DISTRIBUTIONS

INTERNAL MOLECULAR ENERGY

• For a diatomic molecule then <E> = 5/2 kT

• One of the basic principles used in the Kinetic Theory of Gases is that each degree of freedom has an average energy

• of ½ kT. Or <E> = (s/2) kT

where s = the number of degrees of freedom

Page 30: PROBABILITY DISTRIBUTIONS

INTERNAL MOLECULAR ENERGY

• For a diatomic molecule then <E> = 5/2 kT

• One of the basic principles used in the Kinetic Theory of Gases is that each degree of freedom has an average energy

• of ½ kT. Or <E> = (s/2) kT

where s = the number of degrees of freedom

• This is called the

• EQUIPARTION THEOREM

Page 31: PROBABILITY DISTRIBUTIONS

INTERNAL MOLECULAR ENERGY

• For dilute gases which still obey the ideal gas law, the internal energy is:

Page 32: PROBABILITY DISTRIBUTIONS

INTERNAL MOLECULAR ENERGY

• For dilute gases which still obey the ideal gas law, the internal energy is:

• U = N<E> = (s/2) NkT

Page 33: PROBABILITY DISTRIBUTIONS

INTERNAL MOLECULAR ENERGY

• For dilute gases which still obey the ideal gas law, the internal energy is:

• U = N<E> = (s/2) NkT

• Real gases undergo collisions and hence can transport matter called diffusion.

Page 34: PROBABILITY DISTRIBUTIONS

INTERNAL MOLECULAR ENERGY

• For dilute gases which still obey the ideal gas law, the internal energy is:

• U = N<E> = (s/2) NkT

• Real gases undergo collisions and hence can transport matter called diffusion. The average distance a molecule moves between collisions is <λ>

Page 35: PROBABILITY DISTRIBUTIONS

COLLISIONS OF MOLECULES

• Let D be the diameter of a molecule.

Page 36: PROBABILITY DISTRIBUTIONS

COLLISIONS OF MOLECULES

• Let D be the diameter of a molecule. The collision cross section is merely the cross-sectional area σ = π D2 .

Page 37: PROBABILITY DISTRIBUTIONS

COLLISIONS OF MOLECULES

• Let D be the diameter of a molecule. The collision cross section is merely the cross-sectional area σ = π D2 . If there is a collision then the molecule traveles a distance λ = vt.

Page 38: PROBABILITY DISTRIBUTIONS

COLLISIONS OF MOLECULES

• Let D be the diameter of a molecule. The collision cross section is merely the cross-sectional area σ = π D2 . If there is a collision then the molecule traveles a distance λ = vt. If one averages this

• <λ> = vRMS τ

where τ = mean collision time.

Page 39: PROBABILITY DISTRIBUTIONS

COLLISIONS OF MOLECULES

• Let D be the diameter of a molecule. The collision cross section is merely the cross-sectional area σ = π D2 . If there is a collision then the molecule traveles a distance λ = vt. If one averages this

• <λ> = vRMS τ

where τ = mean collision time. During this time there are N collisions in a volume V.

Page 40: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• The molecule sweeps out a volume which is V = AvRMSτ =

Page 41: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• The molecule sweeps out a volume which is V = AvRMSτ = σ vRMSτ

Page 42: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• The molecule sweeps out a volume which is V = AvRMSτ = σ vRMSτ Since there are number / volume (ndens ) molecules undergoing a collision then the average number of collisions per unit time is

τ = 1/N

Page 43: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• The molecule sweeps out a volume which is V = AvRMSτ = σ vRMSτ Since there are number / volume (ndens ) molecules undergoing a collision then the average number of collisions per unit time is

τ = 1/N = 1/(nV/τ)

Page 44: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• The molecule sweeps out a volume which is V = AvRMSτ = σ vRMSτ Since there are number / volume (ndens ) molecules undergoing a collision then the average number of collisions per unit time is

τ = 1/N = 1/(nV/τ) = 1/nσ vRMS .

Page 45: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• The molecule sweeps out a volume which is V = AvRMSτ = σ vRMSτ Since there are number / volume (ndens ) molecules undergoing a collision then the average number of collisions per unit time is

τ = 1/N = 1/(nV/τ) = 1/nσ vRMS .

However, both molecules are moving and this increases the velocity by √ 2.

Page 46: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• Thus τ = 1/ (√2 nσvRMS )

Page 47: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• Thus τ = 1/ (√2 nσvRMS )

• and

<λ> = vRMS τ = 1/(√2 nσ)

Page 48: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• Thus τ = 1/ (√2 nσvRMS )

• and

<λ> = vRMS τ = 1/(√2 nσ)

In 1827 Robert Brown observed small particles moving in a suspended atmosphere. This was later hypothesised to be due to collisions by gas molecules.

Page 49: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• The movement of these particles was observed to be random and was similar to the mathematical RANDOM WALK problem.

Page 50: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• The movement of these particles was observed to be random and was similar to the mathematical RANDOM WALK problem. See the link below:

• http://www.aip.org/history/einstein/brownian.htm

Page 51: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• The movement of these particles was observed to be random and was similar to the mathematical RANDOM WALK problem. See the link below:

• http://www.aip.org/history/einstein/brownian.htm

• Also click on the Essay on Einstein Brownian Motion.

Page 52: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• Each of the distances moved by the molecules is L, because of the possibility of positive and negative directions it is best to calculate the < R2 > = N L2

Page 53: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• Each of the distances moved by the molecules is L, because of the possibility of positive and negative directions it is best to calculate the < R2 > = N L2

where N is the number of steps or collisions.

Page 54: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• Each of the distances moved by the molecules is L, because of the possibility of positive and negative directions it is best to calculate the < R2 > = N L2

where N is the number of steps or collisions.

• Since there are N collisions in a time t

• t = Nτ

Page 55: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• Each of the distances moved by the molecules is L, because of the possibility of positive and negative directions it is best to calculate the < R2 > = N L2

where N is the number of steps or collisions.

• Since there are N collisions in a time t

• t = Nτ so in the above equation

< R2 > = (t/τ) λ2

Page 56: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• For diffusion to occur there must be a difference of concentration of a fluid

Page 57: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• For diffusion to occur there must be a difference of concentration of a fluid

• Let J be the rate of diffusion

J = ΔNNEW /Δt

Page 58: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• For diffusion to occur there must be a difference of concentration of a fluid

• Let J be the rate of diffusion

J = ΔNNEW /Δt

= D A ΔC/Δx

Page 59: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• For diffusion to occur there must be a difference of concentration of a fluid

• Let J be the rate of diffusion

J = ΔNNEW /Δt

= D A ΔC/Δx

where D is the diffusion constant

Page 60: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• For diffusion to occur there must be a difference of concentration of a fluid

• Let J be the rate of diffusion

J = ΔNNEW /Δt

= D A ΔC/Δx

where D is the diffusion constant and ΔC/Δx

is the concentration gradient in either moles/s or kg/s.

Page 61: PROBABILITY DISTRIBUTIONS

MOLECULAR COLLISIONS

• For diffusion to occur there must be a difference of concentration of a fluid

• Let J be the rate of diffusion

J = ΔNNEW /Δt

= D A ΔC/Δx

where D is the diffusion constant and ΔC/Δx

is the concentration gradient in either moles/s or kg/s. The above is Ficks Law