4.2.5 · Maths › Calculus II — Integration
Intuition Ek hi breath mein badi baat
Agar tumhe pata ho ki koi cheez har instant par kitni fast change ho rahi hai, toh us poore interval mein un saari choti changes ko jodne se tumhe us cheez mein hua kul (net) change milta hai. Kisi rate ka integral hi net change hota hai.
Definition Net Change Theorem
Agar F ′ ( x ) kisi quantity F ( x ) ke change ki rate hai, toh x = a se x = b tak F mein net change uski rate ke integral ke barabar hota hai:
∫ a b F ′ ( x ) d x = F ( b ) − F ( a )
Yahan net word matter karta hai: increases aur decreases cancel ho jaate hain. Yeh total signed change hai, na ki total distance travelled.
Yeh literally Fundamental Theorem of Calculus, Part 2 hi hai, bas ise ek physical story ke saath re-read kiya gaya hai. Same equation, naye kapde.
Hum ise integral ki definition se banate hain — kuch yaad karne ki zaroorat nahi.
Step 1 — Interval ko slice karo. Kyun? Kyunki ek lambe interval pe change mushkil lagta hai, lekin ek tiny step pe change aasaan hota hai. [ a , b ] ko n pieces mein partition karo:
a = x 0 < x 1 < ⋯ < x n = b , Δ x = n b − a .
Step 2 — Net change ek telescoping sum hai. a se b tak ka total change saari choti changes ka sum hota hai. Kyun? Kyunki beech ki values cancel ho jaati hain:
F ( b ) − F ( a ) = ∑ i = 1 n [ F ( x i ) − F ( x i − 1 ) ] .
(Likho: ( F ( x 1 ) − F ( x 0 )) + ( F ( x 2 ) − F ( x 1 )) + … — sab cancel ho jaata hai siwaaye F ( b ) − F ( a ) ke.)
Step 3 — Har choti change ko rate × time se approximate karo. Kyun? Mean Value Theorem guarantee karta hai ki har slice mein ek point x i ∗ hoga jahan
F ( x i ) − F ( x i − 1 ) = F ′ ( x i ∗ ) Δ x .
Yeh kehta hai "small change = (wahan ki slope) × (width)". Derivative ki pure definition bilkul exact bani.
Step 4 — Ek Riemann sum pehchano. Step 3 ko Step 2 mein substitute karo:
F ( b ) − F ( a ) = ∑ i = 1 n F ′ ( x i ∗ ) Δ x .
Step 5 — Limit lo. Jaise-jaise n → ∞ , right side hi integral ki definition ban jaati hai:
F ( b ) − F ( a ) = lim n → ∞ ∑ i = 1 n F ′ ( x i ∗ ) Δ x = ∫ a b F ′ ( x ) d x . ■
Quantity F aur uski rate F ′ identify karo (tumhe konsa diya gaya hai?).
Rate ko interval pe integrate karo.
Answer = F ( end ) − F ( start ) = net change.
Agar tumhe total distance / total amount moved chahiye, toh ∣ F ′ ( x ) ∣ integrate karo.
Intuition Net vs. Total (woh ek distinction jisme log marks kho dete hain)
∫ a b v ( t ) d t = displacement (position ka net change — negative bhi ho sakta hai).
∫ a b ∣ v ( t ) ∣ d t = total distance (motion ka har bit positive count hota hai).
Worked example 1 — Velocity → displacement vs distance
Ek particle velocity v ( t ) = t 2 − 4 (m/s) se t ∈ [ 0 , 3 ] ke liye move karta hai. Displacement aur total distance nikaliye.
Displacement = ∫ 0 3 ( t 2 − 4 ) d t .
v integrate kyun karein? Kyunki v = s ′ hai, toh theorem se ∫ v = s ( 3 ) − s ( 0 ) = position mein net change.
= [ 3 t 3 − 4 t ] 0 3 = ( 9 − 12 ) − 0 = − 3 m .
Net: yeh 3 m peeche start se khatam hua.
Total distance. Split kyun karein? Kyunki [ 0 , 2 ) pe v < 0 aur ( 2 , 3 ] pe v > 0 hai; distance dono ko positive count karta hai. v = 0 at t = 2 .
∫ 0 2 ( 4 − t 2 ) d t + ∫ 2 3 ( t 2 − 4 ) d t .
Pehla = [ 4 t − 3 t 3 ] 0 2 = 8 − 3 8 = 3 16 .
Doosra = [ 3 t 3 − 4 t ] 2 3 = ( − 3 ) − ( 3 8 − 8 ) = ( − 3 ) − ( − 3 16 ) = 3 7 .
Total = 3 16 + 3 7 = 3 23 ≈ 7.67 m. (− 3 ∣ se bada — sanity check pass.)
Worked example 2 — Tank mein paani beh raha hai
Paani r ( t ) = 20 − 2 t litres/min ki rate se t ∈ [ 0 , 5 ] ke liye andar aata hai. Kitna paani andar aata hai?
r integrate kyun karein? r volume V ke change ki rate hai, toh ∫ 0 5 r d t = V ( 5 ) − V ( 0 ) = net volume added.
∫ 0 5 ( 20 − 2 t ) d t = [ 20 t − t 2 ] 0 5 = ( 100 − 25 ) − 0 = 75 L .
Yeh step (limits 0 aur 5) kyun? Yeh question ke start/end times hain — theorem bilkul unhi do instants ke beech change fill karta hai.
Worked example 3 — Marginal cost → cost increase
Marginal cost C ′ ( x ) = 3 x 2 + 50 (₹/unit) hai. Production x = 10 se x = 20 badhane par extra cost nikaliye.
Kyun? Marginal cost literally C ′ hi hoti hai. Net change theorem directly C ( 20 ) − C ( 10 ) deta hai.
∫ 10 20 ( 3 x 2 + 50 ) d x = [ x 3 + 50 x ] 10 20 = ( 8000 + 1000 ) − ( 1000 + 500 ) = 9000 − 1500 = 7500.
Extra cost = ₹7500 . C ( 0 ) jaanne ki bilkul zaroorat nahi — constant cancel ho jaata hai.
Recall Compute karne se pehle: ek particle ka
v ( t ) = cos t on [ 0 , 2 π ] . Displacement aur distance forecast karo, phir check karo.
Forecast: Yeh aage jaata hai phir wapas aata hai, ghar wapas return karta hai → displacement ≈ 0 ; distance "saare humps ka area" hona chahiye = 4 .
Verify: Displacement = ∫ 0 2 π cos t d t = [ sin t ] 0 2 π = 0 . ✓
Distance = ∫ 0 2 π ∣ cos t ∣ d t = 4 ∫ 0 π /2 cos t d t = 4 [ sin t ] 0 π /2 = 4 . ✓
Common mistake "Displacement aur distance same hote hain."
Kyun sahi lagta hai: jab koi object sirf aage move karta hai, toh woh hote hain equal, toh easy problems mein tumhe kabhi fark nahi dikhta.
Fix: Jab bhi rate sign change kare tab yeh differ karte hain. Net change ∫ v use karta hai; total amount ∫ ∣ v ∣ use karta hai. Hamesha dekho v = 0 kahan hai.
Common mistake "Mujhe constant of integration / initial value chahiye."
Kyun sahi lagta hai: antiderivative nikalte waqt aam taur pe + C aata hai, aur hum initial conditions se C nikalte hain.
Fix: Net change mein F ( b ) se F ( a ) subtract hota hai, toh + C cancel ho jaata hai. Change nikalte waqt tumhe initial amount ki kabhi zaroorat nahi.
v integrate karo aur distance ke liye end mein absolute value lo."
Kyun sahi lagta hai: distance positive hota hai, toh answer pe ∣ ⋅ ∣ lagana safe lagta hai.
Fix: ∫ v = ∫ ∣ v ∣ . Absolute value andar daalni hoti hai, sign changes pe split karke, integrate karne se pehle .
Recall Feynman: ek 12-year-old ko samjhao
Ek car mein speedometer imagine karo. Yeh tumhe kabhi nahi batata ki tum kahan ho — sirf yeh batata hai ki abhi kitni fast ja rahe ho. Lekin agar tum apni speed har second likhte jao aur poore trip ke liye "speed × ek second" jodto jao, toh pata lagta hai car ne exactly kitna move kiya. Net change theorem kehta hai: "kitna fast × thoda time" ke saare chote pieces jodo aur tumhe position mein total change milega. Aur agar tum kabhi peeche drive karo, toh woh negative count hote hain — jab tak tumhe sirf yeh nahi chahiye ki kitni road cover ki, tab backward driving bhi positive count hogi.
"Rate in, change out." Aur: N et ko N o constant chahiye (+ C gayab ho jaata hai). Total distance ke liye, "bars before integral" — ∫ ∣ f ∣ , na ki ∣ ∫ f ∣ .
Fundamental Theorem of Calculus — net change theorem hi FTC Part 2 hai physical disguise mein.
Definite Integral as a Riemann Sum — woh limit jo humne Step 5 mein use ki.
Mean Value Theorem — Step 3 justify kiya (small change = slope × width).
Displacement vs Distance — net-vs-total distinction.
Telescoping Sums — Step 2 mein cancellation trick.
Marginal Cost and Revenue — economics application.
Net change theorem state karo. ∫ a b F ′ ( x ) d x = F ( b ) − F ( a ) : rate ka integral quantity ke net change ke barabar hota hai.
Net change theorem secretly kis theorem ke identical hai? Fundamental Theorem of Calculus, Part 2 — physically reinterpret kiya gaya.
Derivation ke Step 2 mein kaunsi trick choti changes ke sum ko collapse karti hai? Telescoping sum: ∑ [ F ( x i ) − F ( x i − 1 )] = F ( b ) − F ( a ) .
Derivation mein Mean Value Theorem kya provide karta hai? Ek point x i ∗ jahan F ( x i ) − F ( x i − 1 ) = F ′ ( x i ∗ ) Δ x , har choti change ko rate×width mein badalta hai.
Velocity se displacement kaise nikalte hain? ∫ a b v ( t ) d t (signed, negative bhi ho sakta hai).
Velocity se total distance kaise nikalte hain? ∫ a b ∣ v ( t ) ∣ d t — sign changes pe split karo aur positive pieces jodo.
Net change problem mein constant of integration ki zaroorat kyun nahi? Kyunki F ( b ) − F ( a ) use subtract kar deta hai; + C cancel ho jaata hai.
Total distance ke liye ∣ ∫ v ∣ galat kyun hai? Kyunki integral ke andar cancellation hoti hai; bars andar jaane chahiye: ∫ ∣ v ∣ .
v(t)=t²−4 on [0,3]: displacement? ∫ 0 3 ( t 2 − 4 ) d t = − 3 m.
v(t)=cos t on [0,2π]: displacement aur distance? Displacement 0; distance 4.