2.4.8 · D1 · Physics › Thermodynamics & Statistical Mechanics (Advanced) › Statistical mechanics — microstate, macrostate
Jab aap har particle ko track nahi kar sakte, tab aap iski jagah count karte hain ki kitne microscopic arrangements bahar se ek jaise dikhte hain — aur jo arrangement sabse zyada tareekon se ho sakta hai, wahi aap almost hamesha measure karte hain. Neeche sab kuch sirf woh vocabulary aur pictures hain jo aapko chahiye isse pehle ki woh sentence poori tarah samajh aaye.
Is page par koi bhi assumption nahi hai. Har letter, har symbol, har notation jo parent note use karta hai, woh yahan ground up se build kiya gaya hai, ek aisi order mein jahan har idea pichle wale par tika hua hai.
Kisi bhi physics se pehle, hume counting ke baare mein ek fact chahiye.
Intuition Choices multiply hote hain
Agar aap ek choice karte hain a options ke saath, phir ek doosri independent choice b options ke saath, toh combined outcomes ki sankhya a × b hoti hai — a + b nahi. Do coins: pehle ke liye 2 ways, doosre ke liye 2, 2 × 2 = 4 total patterns. Neeche figure mein tree dekho: har branch usi sankhya mein twigs mein split hoti hai, isliye twigs level by level multiply hote hain.
Definition The multiplication (product) rule
Agar ek process independent stages ki sequence hai jisme n 1 , n 2 , … options hain har ek mein, toh outcomes ki total sankhya product n 1 × n 2 × ⋯ hai.
Picture: ek branching tree — har level leaves ki sankhya ko multiply karta hai.
Ye topic ko kyun chahiye: parent ka Ω total = 2 N exactly yahi rule hai jo N baar apply kiya gaya hai (2 × 2 × ⋯ ).
Intuition Cheezon ko line up karne ke kitne tarike hain?
N distinct objects ko line up karo. Pehle slot mein N choices hain, agle mein N − 1 (ek use ho gaya), phir N − 2 , aur aise hi 1 tak. Multiplication rule se ye sab multiply hote hain.
N ! = N × ( N − 1 ) × ( N − 2 ) × ⋯ × 2 × 1
Padho "N factorial". Ye N distinct objects ke orderings (ek row mein arrangements) ki sankhya hai.
Special case jo aapko zaroori pata hona chahiye: 0 ! = 1 (kuch bhi arrange karne ka exactly ek hi tarika hai — kuch mat karo).
Picture: N boxes ko left-to-right bharo, baaki objects ka pool har step pe ek se shrink hota hua.
Ye topic ko kyun chahiye: ( n N ) poori tarah factorials se bana hai.
Worked example Chhote factorials
1 ! = 1 , 2 ! = 2 , 3 ! = 6 , 4 ! = 24 . Gaur karo 4 ! = 4 × 3 ! = 4 × 6 = 24 : har factorial mein pichla wala bhi shamil hota hai.
Ye poore topic ki workhorse hai, isliye hum ise slowly build karte hain.
n choose karo, order ignore karo"
Kabhi kabhi hume chahiye ki N mein se n items ka group pick karne ke kitne tarike hain , jahan group ke andar order matter nahi karta (3 ka committee wahi committee hai chahe aap pehle kisi ko bhi naam lo). Saare N ! orderings se shuru karo, phir woh orderings cancel karo jo aapne galti se overcount ki hain.
KYA karte hain: N ! lo (sabka saara ordering). KYU yeh overcount karta hai: humein sirf parwah hai ki kaunse n choose hue. Choose hue n wale andar n ! tareekon se shuffle ho sakte hain group ko badle bina, aur N − n jo peeche reh gaye woh ( N − n )! tareekon se — in sabse wahi choice milti hai. Toh hum unhe divide karke hatate hain:
( 2 4 ) haath se
( 2 4 ) = 2 ! 2 ! 4 ! = 2 × 2 24 = 6
Exactly woh chhe "2 heads" patterns jo parent ke four-coin table mein hain. Har case covered hai: ( 0 4 ) = 1 , ( 1 4 ) = 4 , ( 2 4 ) = 6 , ( 3 4 ) = 4 , ( 4 4 ) = 1 .
Common mistake Bhool jaana ki order matter NAHI karta
Kyun sahi lagta hai: lagta hai jaise saare N ! arrangements rakhne chahiye.
Fix: ek macrostate "kitne upar hain" ke liye, ups ke beech ke labels invisible hain — toh n ! aur ( N − n )! se divide karo. Unhe rakhna same macrostate ko kai baar count karega.
Definition Sigma notation
∑ n = 0 N f ( n ) = f ( 0 ) + f ( 1 ) + f ( 2 ) + ⋯ + f ( N )
Bada Greek Σ matlab hai "jodo". Iske neeche ka letter (n = 0 ) woh hai jahan counter shuru hota hai; upar ka number (N ) woh hai jahan rukta hai; f ( n ) woh cheez hai jo har value ke liye jodi ja rahi hai.
Picture: ek machine jo n ko bottom se top tak le jaati hai, har f ( n ) ko running total mein daalti hai.
Ye topic ko kyun chahiye: sanity check n = 0 ∑ N ( n N ) = 2 N isi ka use karta hai.
2 N kyun monstrous hai, sirf "bada" nahi
2 N matlab hai 2 ko khud se N baar multiply karo. Ek aur coin add karo aur count double ho jaata hai. Yahi doubling-per-particle ki wajah se real systems ka Ω (N ∼ 1 0 23 ) ek aisa number hai jisme astronomically zyada digits hain — aap un states ko list nahi kar sakte, sirf count kar sakte hain.
Intuition Equal-weight counting
Agar har microstate equally likely hai (fundamental postulate ), toh ek macrostate ka chance sirf uska share hai total mein: uske kitne microstates hain, divided by saare microstates.
Intuition Zyada particles ke saath peak kyun sharper hoti hai
Jaise jaise N badhta hai P ( n ) ki bell curve apna centre N /2 par rakhti hai lekin uski width sirf N ki tarah badhti hai. Toh relative width, width/ centre ∼ N / N = 1/ N , zero ki taraf shrink hoti hai. Isliye ek bada system hamesha apne most-probable macrostate mein paaya jaata hai — yahi equilibrium ka asli matlab hai. (Details Binomial and Gaussian distributions mein hain.)
Ye woh "thode se numbers hain jo lab instrument padhta hai" — ek macrostate ke ingredients.
Definition Bulk variables
N = number of particles (ek count; picture: box mein kitne molecules hain).
V = volume (system kitni jagah occupy karta hai; picture: box ka size litres mein).
E = total energy (saari kinetic + potential energy jodi hui; picture: particles ke beech share hone wala fixed budget).
T = temperature (kitna garam hai; picture: thermometer reading — gehraai se, yeh batata hai ki entropy added energy par kaise respond karti hai ).
P = pressure (walls par force per area; picture: ek gauge needle).
Ye topic ko kyun chahiye: ek macrostate in mein se kuch ki ek chhoti si mutthi se name hota hai, jaise Ω ( E , V , N ) .
Ek classical system ke liye, ek microstate ek single point hai jo har position q aur momentum p list karta hai: ( q 1 , p 1 , … , q 3 N , p 3 N ) . Aise saare points ka space phase space hai — N particles ke liye 3D mein 6 N axes.
Picture: ek dot jo ek enormous multi-dimensional room mein drift kar rahi hai; room ke regions ka study Phase space and Liouville's theorem karta hai.
Ye topic ko kyun chahiye: yeh "ek poori microscopic specification" ko ek precise geometric object banata hai jiska aap size measure kar sakte hain.
Binomial coefficient N choose n
Equilibrium is the most probable macrostate
Khud ko test karo — right side cover karo aur zor se jawab do.
Multiplication rule kya kehta hai? Independent choices multiply hote hain: n 1 × n 2 × ⋯ , add nahi.
N ! kya hai aur yeh kya count karta hai?N × ( N − 1 ) × ⋯ × 1 — N distinct objects ke orderings ki sankhya.
0 ! kya hai?1 — kuch bhi arrange karne ka exactly ek hi tarika hota hai.
( n N ) ko factorials mein likho.n ! ( N − n )! N ! .
Hum n ! ( N − n )! se kyun divide karte hain? Chosen aur unchosen groups ke andar ke orderings cancel karne ke liye, kyunki ek macrostate ke liye order matter nahi karta.
( 2 4 ) compute karo.6 .
∑ n = 0 N f ( n ) ka matlab kya hai?f ( 0 ) + f ( 1 ) + ⋯ + f ( N ) jodo.
Total microstates 2 N kyun hote hain? N objects mein se har ek ke paas 2 independent choices hain; choices multiply hote hain.
∑ n = 0 N ( n N ) kya hai?2 N — bins wapas jodne se saare microstates milte hain.
Yahan count ko probability mein kaise badlate hain? P ( n ) = Ω ( n ) / Ω total , valid isliye kyunki saare microstates equally likely hain.
Kaunse symbols ek macrostate ko name karte hain? Kuch bulk variables jaise E , V , N (ya T , P , N ).
Phase-space point kya hota hai? Ek microstate: saari positions aur momenta ( q 1 , p 1 , … , q 3 N , p 3 N ) .
Ω kya hai?Ek macrostate ke saath consistent microstates ki sankhya — topic ka central object.