Hello! Welcome to this detailed breakdown of the Gaseous State. We're going to move from the microscopic world of individual molecules up to the macroscopic properties you observe, like pressure and viscosity. Let's start with the foundation of it all: how molecules are moving.
Instead of tracking every single molecule (which is impossible!), we use statistics to describe the distribution of velocities. James Clerk Maxwell and Ludwig Boltzmann developed a model based on these key assumptions (postulates) of the Kinetic Theory of Gases:
The full derivation is quite involved, but we can build it from a key insight: a molecule's motion in one dimension (say, $x$) is independent of its motion in the other dimensions ($y, z$). This allows us to find the probability distribution for a single velocity component, $f(v_x)$, and then combine them.
The probability that a molecule has an $x$-component of velocity between $v_x$ and $v_x + dv_x$ is given by a Gaussian density function (a "bell curve"):
$$f(v_x) dv_x = \left(\frac{m}{2\pi k_B T}\right)^{1/2} e^{-mv_x^2 / 2k_B T} dv_x$$
Here, $m$ is the mass of one molecule, $k_B$ is the Boltzmann constant, and $T$ is the absolute temperature. The term $e^{-mv_x^2 / 2k_B T}$ is a form of the famous Boltzmann factor, $e^{-E/k_B T}$, where $E$ is the kinetic energy in the $x$-direction ($E_x = \frac{1}{2}mv_x^2$).
Since the $x, y,$ and $z$ motions are independent, the probability of having a specific velocity vector $(v_x, v_y, v_z)$ is the product of the individual probabilities:
$$f(v_x, v_y, v_z) dv_x dv_y dv_z = f(v_x)f(v_y)f(v_z) dv_x dv_y dv_z = \left(\frac{m}{2\pi k_B T}\right)^{3/2} e^{-m(v_x^2 + v_y^2 + v_z^2) / 2k_B T} dv_x dv_y dv_z$$
This is great, but we usually don't care about the direction (the vector), just the speed, $v$. The speed is the magnitude of the velocity vector: $v^2 = v_x^2 + v_y^2 + v_z^2$. To find the probability $f(v)dv$ that a molecule has a speed between $v$ and $v+dv$, we switch from Cartesian coordinates ($v_x, v_y, v_z$) to spherical polar coordinates. We are asking for the probability of the velocity vector ending up in a thin spherical shell of radius $v$ and thickness $dv$. The "volume" of this shell in "velocity space" is $4\pi v^2 dv$.
Substituting $v^2$ for $(v_x^2 + v_y^2 + v_z^2)$ and $4\pi v^2 dv$ for $dv_x dv_y dv_z$, we get the Maxwell's Law of Distribution of Speeds:
$$f(v)dv = 4\pi \left(\frac{m}{2\pi k_B T}\right)^{3/2} v^2 e^{-mv^2 / 2k_B T} dv$$
The term $f(v)$ is the probability distribution function. $f(v)dv$ gives the fraction of molecules with speeds between $v$ and $v+dv$.
If you plot $f(v)$ (y-axis) against $v$ (x-axis), you get a characteristic curve:
The shape of this curve changes with Temperature ($T$) and Molar Mass ($M$):
Tutor Tip: Think of it like this: The $v^2$ term in $f(v)$ tries to push the curve up (more "space" at higher $v$), while the exponential term $e^{-mv^2 / 2k_B T}$ (the Boltzmann factor) tries to slam it down (it's very improbable to have energy much greater than $k_B T$). The peak is where these two competing effects balance out!
The distribution curve gives us three important "landmark" speeds that characterize the gas.
This is the speed possessed by the largest fraction of molecules. It's the peak of the $f(v)$ curve. To find it, we find the maximum by taking the derivative of $f(v)$ with respect to $v$ and setting it to zero: $\frac{df(v)}{dv} = 0$.
Solving this gives:
$$v_{mp} = \sqrt{\frac{2k_B T}{m}} = \sqrt{\frac{2RT}{M}}$$
(Remember $R = N_A k_B$ and $M = N_A m$, where $N_A$ is Avogadro's number).
This is the simple arithmetic mean of the speeds of all molecules. To find it, we integrate $v$ times its probability $f(v)$ over all possible speeds:
$$\bar{v} = \int_{0}^{\infty} v f(v) dv$$
This requires solving a standard integral. The result is:
$$\bar{v} = \sqrt{\frac{8k_B T}{\pi m}} = \sqrt{\frac{8RT}{\pi M}}$$
This one is the most important for kinetic energy, as $E_k = \frac{1}{2}mv^2$. The $v_{rms}$ is the square root of the average of the squares of the velocities. It's found by calculating the mean-square velocity, $\overline{v^2}$, and then taking the square root.
$$\overline{v^2} = \int_{0}^{\infty} v^2 f(v) dv$$
The result is $\overline{v^2} = \frac{3k_B T}{m}$. Taking the square root gives:
$$v_{rms} = \sqrt{\overline{v^2}} = \sqrt{\frac{3k_B T}{m}} = \sqrt{\frac{3RT}{M}}$$
If you look at the formulas, you'll see $v_{rms} > \bar{v} > v_{mp}$. The $v_{rms}$ is the fastest because the $v^2$ term gives more "weight" to the faster-moving molecules in the long tail of the distribution.
Their ratio is a constant:
$$v_{mp} : \bar{v} : v_{rms} = \sqrt{2} : \sqrt{8/\pi} : \sqrt{3}$$
$$v_{mp} : \bar{v} : v_{rms} \approx 1 : 1.128 : 1.224$$
We can convert the speed distribution $f(v)$ into an energy distribution $f(\epsilon)$. The kinetic energy is $\epsilon = \frac{1}{2}mv^2$.
To do this, we substitute $v = \sqrt{2\epsilon/m}$ and $dv = \frac{1}{\sqrt{2m\epsilon}}d\epsilon$ into the $f(v)dv$ expression.
After simplifying, we get the Maxwell-Boltzmann Distribution of Energy:
$$f(\epsilon)d\epsilon = 2\pi \left(\frac{1}{\pi k_B T}\right)^{3/2} \epsilon^{1/2} e^{-\epsilon/k_B T} d\epsilon$$
Notice this equation is dominated by the $\epsilon^{1/2}$ term (which starts at zero) and the Boltzmann factor $e^{-\epsilon/k_B T}$. This exponential decay shows that the probability of a molecule having an energy much larger than $k_B T$ is extremely small.
This formula describes how the pressure of a gas (like our atmosphere) decreases with height $h$ in a uniform gravitational field $g$. It's a direct consequence of the Boltzmann distribution!
Derivation:
$$\int_{P_0}^{P} \frac{dP}{P} = - \frac{Mg}{RT} \int_{0}^{h} dh$$
$$\ln(P) - \ln(P_0) = - \frac{Mgh}{RT}$$
$$\ln\left(\frac{P}{P_0}\right) = - \frac{Mgh}{RT}$$
$$P = P_0 e^{-Mgh/RT}$$
Connection to Boltzmann: The potential energy of a molecule at height $h$ is $E_p = mgh$. For one mole, this is $E_p = Mgh$. The formula $P = P_0 e^{-E_p/RT}$ shows that the pressure (which is proportional to the number of molecules) follows a Boltzmann distribution based on potential energy. It's much less probable to find molecules at high potential energy (high $h$)!
This is a powerful (but ultimately flawed) classical law. It provides a simple way to calculate the total internal energy, and thus the heat capacity, of a gas.
The Law: For a classical system in thermal equilibrium at temperature $T$, the average energy associated with each quadratic degree of freedom is $\frac{1}{2}k_B T$.
A "quadratic degree of freedom" is any term in the total energy expression that is proportional to a coordinate or a momentum squared. Examples:
The molar internal energy $U_m$ is $N_A \times (\text{total average energy per molecule})$. The molar heat capacity at constant volume is $C_{v,m} = \left(\frac{\partial U_m}{\partial T}\right)_V$. Since $k_B T \times N_A = RT$, each degree of freedom contributes $\frac{1}{2}RT$ to the molar internal energy $U_m$, and thus $\frac{1}{2}R$ to the molar heat capacity $C_{v,m}$.
The classical equipartition law predicts that $C_v$ should be constant, independent of temperature (e.g., $\frac{5}{2}R$ for N$_2$ at all $T$). Experiments show this is wrong.
For $H_2$, $C_{v,m}$ is $\frac{3}{2}R$ at low T, rises to $\frac{5}{2}R$ at moderate T, and then rises again towards $\frac{7}{2}R$ at very high T. This is called the "freezing out" of degrees of freedom.
The Resolution: Quantum Mechanics! Rotational and vibrational energies are quantized. A molecule cannot have *any* rotational energy; it can only have discrete values. To "activate" a rotational or vibrational mode, the molecule must gain a minimum quantum of energy ($\Delta E$).
Tutor Tip: The average thermal energy "kick" available is about $k_B T$.
- If $k_B T \ll \Delta E_{rot/vib}$, the molecule can't "pay the toll" to get to the first excited state. That degree of freedom is frozen out and contributes 0 to the heat capacity.
- If $k_B T \gg \Delta E_{rot/vib}$, the energy levels are so close together relative to the thermal energy that the mode behaves classically, and Equipartition works (it contributes $\frac{1}{2}R$ or $R$).
- This is why translation (tiny $\Delta E$) is always active, rotation (moderate $\Delta E$) activates at low T, and vibration (large $\Delta E$) only activates at high T.
Now let's zoom in on the collisions that are fundamental to the kinetic theory. We model molecules as rigid spheres with a diameter $d$.
This is the average distance a molecule travels between collisions. Let's derive it.
$$\lambda = \frac{1}{\sqrt{2} \mathcal{N} \pi d^2}$$
We can express this in terms of $P$ and $T$. Since $P = (N/V)k_B T = \mathcal{N}k_B T$, we have $\mathcal{N} = P/k_B T$.
$$\lambda = \frac{k_B T}{\sqrt{2} P \pi d^2}$$
This shows that:
$Z_1$ (Frequency for one molecule): We just found this! It's the number of collisions one molecule experiences per second.
$$Z_1 = \sqrt{2} \mathcal{N} \sigma \bar{v} = \frac{\bar{v}}{\lambda}$$
$Z_{11}$ (Total frequency for like molecules): This is the total number of collisions per unit volume, per second between identical molecules.
$$Z_{11} = \frac{1}{2} (\sqrt{2} \mathcal{N}^2 \sigma \bar{v}) = \frac{1}{\sqrt{2}} \mathcal{N}^2 \sigma \bar{v} = \frac{1}{\sqrt{2}} \mathcal{N}^2 \pi d^2 \bar{v}$$
$Z_{12}$ (Total frequency for unlike molecules): This is the total collisions per unit volume, per second between molecules of type 1 ($\mathcal{N}_1$) and type 2 ($\mathcal{N}_2$).
$$Z_{12} = \mathcal{N}_1 \mathcal{N}_2 \sigma_{12} \bar{v}_{rel} = \mathcal{N}_1 \mathcal{N}_2 \pi \left(\frac{d_1 + d_2}{2}\right)^2 \sqrt{\frac{8k_B T}{\pi \mu}}$$
This is the payoff! We use all the concepts above (collisions, $\lambda$, $\bar{v}$) to explain macroscopic properties: viscosity, thermal conductivity, and diffusion. These are all transport processes, where the random motion of molecules causes a net "transport" of some property down a concentration gradient.
The "One-Third" Model:
A simple (but powerful) model for all three properties is to consider a plane at $z=0$. There is a gradient in some property $G$ (momentum, energy, or number) in the $z$-direction. Molecules move randomly. A molecule crossing the plane from below last collided (on average) at $z = -\frac{2}{3}\lambda$ and carries the property $G(z=-\frac{2}{3}\lambda)$. A molecule crossing from above last collided at $z = +\frac{2}{3}\lambda$ and carries $G(z=+\frac{2}{3}\lambda)$. The net flux (net transport) across the plane is the difference.
The flux of molecules crossing the plane from one side (per area, per time) is $\frac{1}{4}\mathcal{N}\bar{v}$. The net flux of the property $G$ becomes:
$$J(G) = \frac{1}{4}\mathcal{N}\bar{v} \left[ G(z=-\frac{2}{3}\lambda) - G(z=+\frac{2}{3}\lambda) \right]$$
Using a Taylor expansion $G(z) \approx G(0) + z \frac{dG}{dz}$, we get:
$$J(G) = \frac{1}{4}\mathcal{N}\bar{v} \left[ (G(0) - \frac{2}{3}\lambda \frac{dG}{dz}) - (G(0) + \frac{2}{3}\lambda \frac{dG}{dz}) \right] = \frac{1}{4}\mathcal{N}\bar{v} \left[ -\frac{4}{3}\lambda \frac{dG}{dz} \right]$$
$$J(G) = -\frac{1}{3}\mathcal{N}\bar{v}\lambda \frac{dG}{dz}$$
This is our master equation! The coefficient of the transport property (e.g., $\eta, \kappa, D$) is just the part in front of the gradient.
$$\eta = \frac{1}{3} m \mathcal{N} \bar{v} \lambda$$
$$\eta = \frac{1}{3} \rho \bar{v} \lambda$$
Why? At higher pressure, more molecules ($\rho \uparrow$) carry momentum, but they carry it over a shorter distance ($\lambda \downarrow$). The two effects exactly cancel.
$$\kappa = \frac{1}{3} \mathcal{N} c_v \bar{v} \lambda$$
$$\kappa = \frac{1}{3} \frac{C_{v,m}}{N_A} \frac{\rho}{m} \bar{v} \lambda = \frac{1}{3} \frac{C_{v,m}}{M} \rho \bar{v} \lambda$$
$$\kappa = \frac{C_{v,m}}{M} \left( \frac{1}{3} \rho \bar{v} \lambda \right) \implies \kappa = \frac{\eta C_{v,m}}{M}$$
$$D = \frac{1}{3} \bar{v} \lambda$$
And that completes our tour! We've gone from the random motion of a single molecule all the way to the macroscopic flow of the entire gas. I hope this helps you build a strong foundation!
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