Pehle hum "derivative ki derivative" ki baat kar sakein, uske liye parent page ka har ek symbol samajhna zaroori hai. Neeche hum unhe ek ek karke build karte hain, har ek pichle ke upar, ek smart 12-saal-ke-bachche ke starting point se.
Picture (neeche figure mein): parabola f(x)=x2 axes pe draw ki gayi hai. Ek yellow dot horizontal axis pe input x=1.5 pe baitha hai; ek dashed yellow line curve tak jaati hai aur vertical axis tak jaati hai, jo matching output f(x)=2.25 dikhati hai. Yeh "yahan ek input → wahan ek output" ke idea ko concrete banata hai.
Yeh topic ko kyun chahiye: yahan sab kuch ek function se shuru hota hai. Time ke saath position, curve ki height — sab functions hain. Jise aap pehle ek rule ki tarah name nahi kar sakte, use differentiate nahi kar sakte.
Picture (neeche figure mein): curve pe ek right triangle draw kiya gaya hai. Uska green horizontal side runh hai; uska red vertical side risef(x+h)−f(x) hai; do curve points ko jodne wali yellow line slope hai. Slope = rise ÷ run, seedha triangle se padho.
"Rise over run" kyun? Kyunki yeh jawab deta hai "har ek unit main right move karun, toh kitne units climb karunga?" — steepness ka ek pure measure, chahe aap kahin se bhi start karo.
§2 mein slope do points ke beech thi jo h door the. Lekin hum chahte hain steepness ek exact point pe. Toh hum h ko 0 ki taraf shrink karte hain aur dekhte hain ki slope kaunse number pe settle karti hai.
Picture (neeche figure mein, left panel): teen coloured lines curve ko h door points pe cut karti hain; jab h shrink hota hai (red → orange → green) woh white tangent line ki taraf rotate hoti hain jo curve ko ek point pe just chhumti hai — uska slope limit hai. Right panelf(x)=∣x∣ dikhata hai: left se slide karo toh slope −1, right se toh +1, toh corner pe "kiss" ambiguous hai aur koi single limit exist nahi karti.
Topic ko kyun chahiye: limit ke bina, "ek single point pe slope" ka koi matlab nahi. Derivative ka poora idea is shrinking process pe bana hai. Dekho Derivative — definition as a limit.
Ab hum us machine ko naam de sakte hain jis pe parent page rely karta hai.
Ek hi idea ke do costumes:
Do notations kyun? Lagrange compact hai; Leibniz yaad dilata hai kya, kis cheez ke respect mein change ho raha hai (y, x ke respect mein), jo bahut keemat ki baat hai jab bahut saare variables hon.
Parent page time ko input ki tarah use karta hai. Yeh rhe woh letters.
Picture (shabdon mein): ek car socho ek seedhi road pe. s = aap jis distance mark ke paas hain; v = speedometer reading; a = seat mein push jo aap feel karte ho jab speed khud change hoti hai. Teen physical sensations, har ek pichle ki rate of change.
Topic ko kyun chahiye: yeh woh physical names hain jo higher-order derivatives ko real feel karate hain. Zyada in-depth treatment mein Kinematics — position, velocity, acceleration.
Picture (shabdon mein): literally letter ke upar stacked dots gino — har time-derivative ke liye ek dot. y˙ mein ek dot hai (t ke respect mein ek baar differentiate kiya); y¨ ke upar do dots stacked hain (do baar differentiate kiya). Dots ek tally mark hai, bas itna hi.
Kyun: physicists time ke respect mein bahut zyada differentiate karte hain, toh unhone uske liye sabse chhota possible symbol invent kiya.
Picture (upar figure mein): curve f(x)=x3. Left half (x<0) red draw ki gayi hai — yeh frowns ⌢ kyunki f′′=6x<0 wahan. Right half (x>0) green draw ki gayi hai — yeh cups ⌣ kyunki f′′=6x>0. Origin pe yellow dot inflection point hai jahan bend flip hota hai.
Topic ko kyun chahiye: isliye hum second derivative ki parwah karte hain — yeh curvature reveal karta hai jo first derivative nahi kar sakta. Zyada mein Concavity and the Second-Derivative Test aur Inflection points.
Parent page polynomials aur sinx differentiate karta hai, toh woh do rules sabse zyada aate hain — lekin woh akele tools nahi hain. Yeh rha working toolkit, taaki aap kabhi surprise na ho.
Arrows ko padho "ke liye zaroori hai": har box ko samajhna chahiye usse pehle jo woh point karta hai. Middle mein single chain follow karo — function → slope → limit → derivative — phir dekho kaise yeh do cheezein branch hoti hain jinka topic actually care karta hai: physical ladder (position→velocity→acceleration) aur curvature/higher-order side. Final box woh parent topic hai jiske liye yeh page aapko taiyaar karta hai.
Apne aap ko test karo. Neeche har line prompt ::: answer format mein likhi hai: teen colons ke right mein sab cover karo, left pe prompt padho, apna answer zor se bolo, phir uncover karke check karo. (Yeh ::: "reveal" format vault mein self-testing ke liye use hota hai.)
Ek function f(x) hai
ek rule jo ek input number ko exactly ek output number mein badalta hai.
Do points ke beech slope hai
output mein change divided by input mein change, hf(x+h)−f(x).
limh→0 ka matlab hai
woh value jiske paas ek expression pahunchta hai jab h zero ki taraf shrink hota hai — aur exist karta hai sirf tab jab left aur right approaches agree karein.
Derivative f′(x) hai
step h→0 hone pe slope ki limit — f ka slope function — jab woh limit exist kare.
Ek function differentiable nahi hoti
corners pe (left/right slopes differ karte hain) aur cusps pe (slope blow up hoti hai) — defining limit wahan exist nahi karti.
dxdy (Leibniz) padha jaata hai
y ka x ke respect mein rate of change — slope ke liye ek indivisible symbol.
y˙ mein dot ka matlab hai
time ke respect mein ek derivative; y¨ ka matlab do.
f(n)(x) ka matlab hai
f ko n baar differentiate kiya (parentheses = counter, power nahi).
dx2d2y nahi hai
(dxdy)2; 2's operator applications count karte hain, x3 ke liye 6x vs 9x4 deta hai.
Kisi interval pe f′′>0 ka matlab graph hai
concave up, cup-shaped ⌣ (slope badh raha hai).
f′′<0 ka matlab graph hai
concave down, frown-shaped ⌢ (slope ghatt raha hai).
Ek inflection point hai
woh point jahan f′′sign change karta hai; f′′=0 akela kaafi nahi (0 pe x4 ki misaal).
Power rule dxdxn=nxn−1 ke liye n hona chahiye
ek fixed constant exponent — yeh variable exponents jaise 2x pe apply nahi hota.