We build it from the definition of the integral — no memorising.
Step 1 — Slice the interval. Why? Because change over a long interval is hard, but change over a tiny step is easy. Partition [a,b] into n pieces:
a=x0<x1<⋯<xn=b,Δx=nb−a.
Step 2 — Net change is a telescoping sum. The total change from a to b is the sum of all the little changes. Why? Because the middle values cancel:
F(b)−F(a)=∑i=1n[F(xi)−F(xi−1)].
(Write it out: (F(x1)−F(x0))+(F(x2)−F(x1))+… — everything cancels except F(b)−F(a).)
Step 3 — Approximate each little change by a rate × time. Why? The Mean Value Theorem guarantees a point xi∗ in each slice where
F(xi)−F(xi−1)=F′(xi∗)Δx.
This says "small change = (slope there) × (width)". Pure definition of derivative made exact.
Step 4 — Recognise a Riemann sum. Substitute Step 3 into Step 2:
F(b)−F(a)=∑i=1nF′(xi∗)Δx.
Step 5 — Take the limit. As n→∞, the right side is the definition of the integral:
F(b)−F(a)=limn→∞∑i=1nF′(xi∗)Δx=∫abF′(x)dx.■
v(t)=cost on [0,2π]. Forecast displacement and distance, then check.
Forecast: It goes forward then back, returning home → displacement ≈0; distance should be the "area of all the humps" =4.
Verify: Displacement =∫02πcostdt=[sint]02π=0. ✓
Distance =∫02π∣cost∣dt=4∫0π/2costdt=4[sint]0π/2=4. ✓
Imagine a speedometer in a car. It never tells you where you are — only how fast you're going right now. But if you write down your speed every single second and add up "speed × one second" for the whole trip, you find out exactly how far the car moved. The net change theorem says: add up all the little "how fast × tiny time" pieces and you get the total change in position. And if you sometimes drive backwards, those count as negative — unless you only care about how much road you covered, in which case you treat backward driving as positive too.
Dekho, net change theorem ka core idea bahut simple hai: agar tumhe pata hai koi cheez har instant pe kitni tezi se badal rahi hai (yaani rate, jo derivative F′ hai), to us rate ka integral le lo — wahi tumhe total net change de dega, ∫abF′(x)dx=F(b)−F(a). Ye actually Fundamental Theorem of Calculus Part 2 hi hai, bas physics ki bhasha mein. Speedometer wali example yaad rakho: speedometer batata hai sirf speed, location nahi — par speed ko time ke upar add karte jao to total distance/displacement mil jaata hai.
Sabse important baat jahan students marks gawate hain: displacement vs total distance. Agar velocity v(t) kabhi negative ho jaati hai (object peeche jaa raha hai), to ∫vdt se aage-peeche cancel ho jaata hai aur tumhe net displacement milta hai. Lekin agar total distance chahiye — jitna road actually cover hua — to absolute value andar daalo: ∫∣v∣dt, aur jahan v=0 hota hai wahan integral ko todo. Yaad rakho: "bars before integral" — ∣∫v∣ galat hai, ∫∣v∣ sahi.
Ek aur cool baat: net change nikalte waqt tumhe initial value ya +C ki zaroorat hi nahi padti, kyunki F(b)−F(a) mein constant khud cancel ho jaata hai. Isiliye marginal cost wale problem mein C(0) jaanna zaroori nahi — sirf change chahiye. Jab bhi koi "rate" diya ho (water flow rate, marginal cost, velocity), socho "ye kis quantity ka derivative hai?" — phir integrate karke seedha net change paa lo. Bas, "rate in, change out".