2.4.13 · D5 · HinglishThermodynamics & Statistical Mechanics (Advanced)

Question bankMaxwell-Boltzmann distribution — full derivation

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2.4.13 · D5 · Physics › Thermodynamics & Statistical Mechanics (Advanced) › Maxwell-Boltzmann distribution — full derivation


True or false — justify

The single-component distribution is peaked at .
True. mein koi -prefactor nahi hai, toh ye ek pure Gaussian hai jiska maximum pe hai — kisi bhi ek component ki most likely value us axis pe zero motion hai.
The speed distribution bhi pe peaked hai.
False. mein extra factor hota hai, jo pe vanish kar jaata hai; peak bahar khich jaata hai most probable speed pe. Zero speed matlab ek shell jiska radius zero hai, jisme koi velocity vectors nahi hote.
Temperature double karne se most probable speed double ho jaati hai.
False. , toh double karne se sirf se multiply hoti hai, se nahi. Speed temperature ke square root ke saath scale karti hai.
Same temperature pe, heavier gas ka speed curve lower aur zyada spread-out hota hai.
False. Heavier matlab chhota , toh curve left shift hoti hai aur narrower aur taller ho jaati hai (ye low speeds ki taraf squeeze hoti hai, spread out nahi). Lighter gases broad aur fast wali hoti hain.
Teen speeds har temperature pe satisfy karte hain.
True. Unka ratio fixed hai aur aur se independent hai; long high-speed tail hamesha mean speed aur rms speed ko peak ke right side pe le jaati hai.
Gas ko heat karne se ke neeche ka area badhta hai.
False. Area hamesha hota hai (ye ek probability hai). Heating curve ko move aur reshape karti hai lekin total area kabhi nahi badlta — ek taller peak forced narrow hoti hai aur vice versa.
Kyunki hai, molecules average par move nahi kar rahe.
False. sirf yeh kehta hai ki leftward aur rightward motion symmetry se cancel hote hain. Speed average par kabhi zero nahi hoti: mean speed kyunki speed negative nahi ho sakti.
bhi ki tarah ek symmetric (bell) curve hai.
False. ke baare mein symmetric hai, lekin sirf pe rehti hai aur iska ek long right tail hai — ye skewed hai, aur yahi exact reason hai ki teen characteristic speeds alag hote hain.

Spot the error

"Kisi molecule ke speed ke paas hone ki probability ke proportional hai."
geometric factor missing hai. Boltzmann factor ek velocity state ka weight deta hai; speed states ko us magnitude ke saath lump karta hai, toh .
", toh rms aur mean speed equal hain."
Rms speed hai, yaani squares ke mean ka square root, mean itself nahi. Kyunki squaring large values ko emphasize karta hai, kisi bhi spread-out distribution ke liye.
"300 K par N₂ ke liye, molar mass g/mol ko ke saath use karo: ."
Units mixed hain. Per-molecule mass (kg mein) ko ke saath use karo, ya molar mass (kg/mol mein) ko gas constant ke saath: . (ek per-molecule constant) ko per-mole mass ke saath kabhi pair mat karo.
" paane ke liye hum teen Gaussians integrate karte hain, jo deta hai."
Hum unhe integrate nahi karte; hum teen component densities ko multiply karte hain aur phir ko shell volume ke roop mein re-express karte hain. Integration sirf baad mein aati hai, averages nikalne ke liye.
"Aadhe molecules se faster move karte hain kyunki typical speed hai."
mode (peak location) hai, median nahi. Right tail ki wajah se, median se upar hoti hai, toh zyada se aadhe molecules se faster move karte hain — question ka premise galat hai. (Mean speed aur bhi right mein hai, median se bhi upar.)
"Kyunki choose kiya gaya, exponential decay karta hai — lekin bhi ek valid distribution hoti."
Negative se milta hai, jo grow karta rehta hai without bound aur normalize nahi ho sakta (iska integral diverge ho jaata hai). is requirement se forced hai ki ho.

Why questions

kyun ka exponential hona chahiye, aur ka nahi?
Independence force karta hai ki sirf sum par depend kare; log lene par, ko mein linear hona chahiye. term us sum ki function mein add up nahi hoga. Dekho Gaussian integrals.
Derivation directly speed se nahi, velocity components se kyun start karta hai?
Components statistically independent aur isotropic hote hain, jisse joint distribution factorize ho sakti hai — ek badi simplification. Speed teeno ko mix karta hai, toh shuru mein koi factorization exploit karne ko nahi milti.
Equipartition kyun enter karta hai, aur exactly kya fix karta hai?
Functional form ek unknown, , chhod deta hai. Equipartition har translational degree of freedom ko se pin karta hai, jo aur hence deta hai — yahi temperature inject karta hai.
Speed curve origin pe zero kyun hai jabki exponential wahan ke equal hai?
shell-volume factor sabse bada killer hai: pe radius ki sphere ki koi surface nahi hai, toh velocity vectors ke liye koi "jagah" nahi hai, Boltzmann weight se koi farak nahi padta. Dekho Kinetic theory of gases.
Lighter molecules ek container se faster kyun escape karte hain?
Same ke liye, chhota bada mean speed deta hai, aur effusion rate mean speed ke saath scale karti hai — yahi Graham's law ki root hai.
MB distribution ek classical result kyun hai, sirf tab valid jab quantum effects weak hon?
Ye assume karta hai ki har velocity state Boltzmann weight carry karta hai bina kisi occupation limit ke. Jab particles states mein crowd hote hain, quantum statistics le leti hai — dekho Maxwell-Boltzmann vs Fermi-Dirac vs Bose-Einstein aur Boltzmann factor and partition function.
ka ratio kisi bhi gas pe kyun depend nahi karta?
Dono speeds mein same factor hota hai, jo ratio mein cancel ho jaata hai, pure number chhod ke. MB ki shape universal hai; sirf iska horizontal scale aur par depend karta hai.

Edge cases

limit mein kya hoti hai?
Curve ki taraf collapse ho jaati hai: aur distribution zero speed pe infinitely narrow spike ban jaati hai — saare molecules frozen, vanishing thermal energy ke consistent.
hone par ka kya hota hai?
Peak arbitrarily high speed ki taraf chali jaati hai aur curve indefinitely flatten aur broaden hoti jaati hai; har finite speed vanishingly probable ho jaati hai jab probability infinity tak spread hoti hai.
Kya ke alawa koi finite speed hai jisme probability exactly zero ho?
Nahi. Har ke liye aur dono hain, toh har jagah par — kisi bhi positive speed ki, chahe kitni bhi badi ho, hamesha nonzero chance hoti hai.
Kisi molecule ke exactly hone ki probability kya hai?
Exactly zero, jaise kisi bhi continuous distribution ke single point ki. Sirf ranges ki nonzero probability hoti hai: ek interval par ek fraction hai, ek point par nahi.
Two-dimensional version kaisa dikhta hai (ek plane mein confined gas)?
Shell ban jaati hai ek ring jiska circumference hai, toh geometric factor hota hai nahi, jo deta hai. Peak aur characteristic speeds shift karte hain kyunki "room" factor ki dimension badal gayi.
Agar ek hidden field ne ek axis ko special bana diya (isotropy tod di), toh kya derivation survive karti?
Nahi — teen identical Gaussians mein factorization isotropy par depend karti thi. Ek preferred axis ke saath, se alag hoti aur clean shell (jisne direction-independence assume ki thi) apply nahi hoti.

Recall Jaane se pehle ek-line self-test

Ek hi saansh mein bolo kyun hai lekin maximal hai. Kyunki ek component hai (Gaussian, pe peak karta hai) jabki ek spherical shell count karta hai jiska volume zero radius par vanish ho jaata hai. ✓