Average energy from partition function
2.4.11· Physics › Thermodynamics & Statistical Mechanics (Advanced)
WHY do we even want this?
Statistical mechanics mein hum ek system ka description karte hain jo temperature par ek heat bath ke contact mein hai. Har microstate ki energy hoti hai aur yeh Boltzmann probability ke saath occur karta hai: Jo cheez hum measure kar sakte hain woh hai mean energy . Is sum ko directly compute karna painful hai. Trick yeh hai: notice karo ki wohi exponentials mein bhi appear karte hain, toh ka derivative hamare liye ka factor "manufacture" kar deta hai.
HOW: average energy ko scratch se derive karo
Step 1 — Average energy ko seedha likho. Yeh step kyun? Yeh sirf expectation value ki definition hai — (value × probability) ka sum.
Step 2 — Derivative trick dhundho. Ek single weight ko ke saath differentiate karo: Yeh step kyun? ka factor jo hum chahte hain woh naturally (minus sign ke saath) appear hota hai jab hum differentiate karte hain. Toh woh mushkil bas hai.
Step 3 — Sum ko replace karo. Kyunki hai, Step 1 mein substitute karo:
Step 4 — Log se tidy karo. Yaad karo . Isliye:
kyun? Kyunki chain rule se wohi hai. Log lene se "pehle se divide karo phir differentiate karo" ek clean operation ban jaata hai — aur bilkul wohi object hai jo free energy deta hai.
Bonus: energy fluctuations (second derivative)
Ek baar aur differentiate karo aur tumhe variance milega, isliye heat capacity bhi:
C_V=\frac{\partial\langle E\rangle}{\partial T}=k_B\beta^2\,\sigma_E^2.$$ *Care kyun karo?* Yeh dikhata hai ki $Z$ **har** moment generate karta hai: pehla derivative → mean, doosra → variance. ![[2.4.11-Average-energy-from-partition-function.png]] --- ## Worked examples > [!example] 1. Two-level system (jaise spin in a field) > Energies $0$ aur $\varepsilon$ hain. Toh $Z=e^{0}+e^{-\beta\varepsilon}=1+e^{-\beta\varepsilon}$. > **Kyun:** sirf do microstates hain, toh sum mein do terms hain. > $$\langle E\rangle=-\partial_\beta\ln Z=-\frac{-\varepsilon e^{-\beta\varepsilon}}{1+e^{-\beta\varepsilon}}=\frac{\varepsilon}{e^{\beta\varepsilon}+1}.$$ > **Yeh step kyun?** $\partial_\beta\ln Z=\frac1Z\partial_\beta Z$, aur $\partial_\beta Z=-\varepsilon e^{-\beta\varepsilon}$. > **Checks (Forecast-then-verify):** jab $T\to0$ ($\beta\to\infty$), $\langle E\rangle\to 0$ (ground state mein frozen, ✓). Jab $T\to\infty$ ($\beta\to0$), $\langle E\rangle\to \varepsilon/2$ (dono states equally likely, $0,\varepsilon$ ka average, ✓). > [!example] 2. Quantum harmonic oscillator (1D, discrete energy levels) > $E_n=n\hbar\omega$, $n=0,1,2,\dots$ Toh $Z=\sum_{n}e^{-\beta n\hbar\omega}=\dfrac{1}{1-e^{-\beta\hbar\omega}}$ (geometric series). > **Kyun:** ratio $r=e^{-\beta\hbar\omega}<1$ hai, toh $\sum r^n = 1/(1-r)$. > $\ln Z=-\ln(1-e^{-\beta\hbar\omega})$, isliye > $$\langle E\rangle=-\partial_\beta\ln Z=\frac{\hbar\omega\,e^{-\beta\hbar\omega}}{1-e^{-\beta\hbar\omega}}=\frac{\hbar\omega}{e^{\beta\hbar\omega}-1}.$$ > **Yeh step kyun?** Log ko differentiate karo; chain rule se numerator $\hbar\omega e^{-\beta\hbar\omega}$ milta hai. > **Check:** high $T$ → $\langle E\rangle\to k_BT$ (oscillator ke liye classical equipartition, ✓). > [!example] 3. Continuous quadratic mode se equipartition > Ek degree of freedom jisme $E=\tfrac12 ax^2$ hai, $x\in(-\infty,\infty)$: $Z=\int e^{-\beta a x^2/2}dx=\sqrt{2\pi/(\beta a)}\propto\beta^{-1/2}$. > $\ln Z=-\tfrac12\ln\beta+\text{const}$, isliye > $$\langle E\rangle=-\partial_\beta\ln Z=\frac{1}{2\beta}=\tfrac12 k_BT.$$ > **Yeh kyun matter karta hai:** energy mein har quadratic term $\tfrac12 k_BT$ contribute karta hai — yeh **equipartition theorem** hai, $Z$ se sirf do lines mein derive kiya. --- ## Common mistakes (steel-manned) > [!mistake] "$T$ ke saath differentiate karo $\langle E\rangle$ paane ke liye." > **Kyun sahi lagta hai:** energy temperature par depend karti hai, toh $\partial_T$ naturally aata hai. > **Fix:** clean formula hai $\langle E\rangle=-\partial_\beta\ln Z$. Agar aap $T$ par insist karo, > toh Jacobian lana padega: $\langle E\rangle=k_BT^2\,\partial_T\ln Z$ (dhyan do $k_BT^2$ pe, yeh easily drop ho jaata hai). > [!mistake] Minus sign bhool jaana. > **Kyun sahi lagta hai:** "$\ln Z$ ka derivative" positive lagta hai. > **Fix:** $\partial_\beta e^{-\beta E}=-E e^{-\beta E}$ — minus exponent se aata hai. > Sanity check: $\langle E\rangle$ $E_i\ge0$ ke liye **positive** honi chahiye; minus sign yahi deliver karta hai. > [!mistake] $\langle E\rangle = -\partial_\beta Z$ likhna ($1/Z$ bhool jaana). > **Kyun sahi lagta hai:** sum $\sum E_i e^{-\beta E_i}=-\partial_\beta Z$ answer jaisa lagta hai. > **Fix:** woh sum **unnormalized** hai. $Z$ se divide karna zaroori hai, aur isliye $\ln$ form ($\frac1Z\partial_\beta Z$) itna convenient hai. --- > [!recall]- Feynman: 12-saal ke bacche ko explain karo > Socho ek bade jar mein dice hain jahan chhote numbers zyada dikhaai dete hain jab thanda hota hai aur sab numbers > equally dikhaai dete hain jab garam hota hai. $Z$ ek magic counter hai jo "har number kitna likely hai" add karta hai. > Yahan cool part yeh hai: agar tum $Z$ ko thoda sa nudge karo (ek derivative lo) aur dekho yeh kaise badalta hai, toh math > *automatically* har outcome ko uske apne number se multiply kar deta hai — bina manually average kiye tumhe **average roll** de deta hai. Toh counter ka ek clever nudge tumhe system ki typical energy bata deta hai. > [!mnemonic] Formula yaad karo > **"Log it, slope it, flip it."** $\ln Z$ lo, $\beta$ mein uska slope lo ($\partial_\beta$), sign flip karo: > $\langle E\rangle=-\partial_\beta\ln Z$. (Flip = Boltzmann exponent se aaya minus.) --- ## Active recall > [!recall] Quick self-test > 1. $Z$ ko differentiate karne se $E_i$ ka factor kyun milta hai? > 2. $\langle E\rangle=-\partial_\beta\ln Z$ mein minus sign kahan se aata hai? > 3. $\ln Z$ ka *doosra* derivative kya deta hai? #flashcards/physics What is the partition function $Z$? ::: $Z=\sum_i e^{-\beta E_i}$, yeh sab microstates par Boltzmann weights ka normalizing sum hai. Formula for average energy from $Z$? ::: $\langle E\rangle=-\dfrac{\partial \ln Z}{\partial\beta}=k_BT^2\dfrac{\partial\ln Z}{\partial T}$. Why does $\partial_\beta$ pull out the energy? ::: Kyunki $\partial_\beta e^{-\beta E_i}=-E_i e^{-\beta E_i}$, toh derivative sum ke andar $E_i$ ka factor generate karta hai. Where does the minus sign come from? ::: Boltzmann exponent se: $e^{-\beta E}$ ko differentiate karne par $-E e^{-\beta E}$ milta hai. What does $\partial^2\ln Z/\partial\beta^2$ equal? ::: Energy variance $\langle E^2\rangle-\langle E\rangle^2=\sigma_E^2$. Average energy of a two-level system ($0,\varepsilon$)? ::: $\langle E\rangle=\dfrac{\varepsilon}{e^{\beta\varepsilon}+1}$. Average energy of a quantum oscillator ($E_n=n\hbar\omega$)? ::: $\langle E\rangle=\dfrac{\hbar\omega}{e^{\beta\hbar\omega}-1}$. Equipartition result for one quadratic mode? ::: $\langle E\rangle=\tfrac12 k_BT$, kyunki $Z\propto\beta^{-1/2}$ hai toh $\langle E\rangle=1/(2\beta)$. Relation between heat capacity and fluctuations? ::: $C_V=k_B\beta^2\sigma_E^2$, matlab heat capacity energy fluctuations measure karta hai. Why use $\ln Z$ instead of $Z$ directly? ::: Kyunki $\frac1Z\partial_\beta Z=\partial_\beta\ln Z$ hai, toh log zaroori $1/Z$ normalization ko ek clean derivative mein fold kar deta hai. --- ## Connections - [[Partition function (canonical ensemble)]] - [[Boltzmann distribution]] - [[Helmholtz free energy F = -kT ln Z]] - [[Equipartition theorem]] - [[Heat capacity and energy fluctuations]] - [[Quantum harmonic oscillator — thermal]] - [[Two-level system / Schottky anomaly]] ## 🖼️ Concept Map ```mermaid flowchart TD Z[Partition function Z] P[Boltzmann probability p_i] AE[Mean energy langle E rangle] DEF[Definition sum e^-beta E_i] DERIV[Differentiate wrt beta] LNZ[ln Z] FORM[langle E rangle = -d ln Z / d beta] VAR[Energy variance] HC[Heat capacity] F[Free energy F = -kT ln Z] Z -->|normalizes| P P -->|weighted sum| AE Z -->|defined by| DEF DERIV -->|pulls out E_i| Z Z -->|log of| LNZ LNZ -->|first derivative| FORM FORM -->|equals| AE LNZ -->|second derivative| VAR VAR -->|yields| HC LNZ -->|gives| F ```