4.1.16 · D5 · HinglishCalculus I — Limits & Derivatives

Question bankChain rule — proof, composite function derivatives

1,942 words9 min read↑ Read in English

4.1.16 · D5 · Maths › Calculus I — Limits & Derivatives › Chain rule — proof, composite function derivatives

Traps se pehle, ek refresher taaki kuch unexplained na rahe:

breaks when delta u = 0

multiplies by delta u never divides

lucky same answer but invalid

derivative of h is a limit

difference quotient of h

naive road: divide by delta u

rigorous road: error function E

division by zero

valid for all delta x

h prime = f prime of g times g prime


True or false — justify

TF1. " true hai kyunki 's fractions ki tarah cancel ho jaate hain."
False — equation sahi hai, lekin reason nahi. aur single limits hain, shared factor wale fractions nahi; cancellation sirf ek memory aid hai, jo theek se error-function argument se prove hoti hai.
TF2. "Agar aur dono har jagah differentiable hain, toh bhi har jagah differentiable hai."
True — chain rule ki hypotheses ( par differentiable, par differentiable) har par poori hoti hain, isliye composite wahan differentiable hai product formula ke saath.
TF3. "Chain rule fail ho sakta hai even if answer ek number ke roop mein exist karta hai."
True — ki differentiability point par honi chahiye, sirf kahi par nahi. Agar us particular par differentiable nahi hai, toh formula ki value meaningless hai, chahe wo compute ho bhi jaye.
TF4. "."
False — inside ko intact rakhna aur uski rate se multiply karna zaroori hai: . galat tarike se angle ko double karta hai rakhne aur se multiply karne ki jagah.
TF5. "Rigorous proof mein, error function se divide karti hai, isliye yeh tab bhi tootti hai jab ."
False — defined hai ki par ke barabar hai, aur key identity se multiply karti hai. Kabhi bhi se divide nahi hota.
TF6. " ki differentiability sirf appear karaane ke liye chahiye; ki continuity ka koi role nahi."
False — ki continuity hi guarantee karti hai ki jab , aur yahi cheez hone deti hai. Iske bina proof ruk jaata hai.
TF7. "Constant inner function ke liye, naïve -cancellation proof theek kaam karta hai."
False — yahan har ke liye hai, isliye se divide karna hamesha undefined hai; sirf error-function proof survive karta hai, aur sahi tarike se deta hai (maante hue ki par differentiable hai).
TF8. "Agar par differentiable hai, toh aur dono wahan differentiable hone chahiye."
False — ek composite smooth ho sakta hai chahe ek piece na ho; jaise ( par differentiable nahi) ko mein feed karo toh milta hai, jo par differentiable hai. Chain rule sufficient hai, necessary nahi.

Spot the error

SE1. "."
Inner rate missing hai. Poora chain deta hai , jo se match karta hai. Unhone se multiply karna bhool gaye.
SE2. "."
Do inner rates drop ho gaye. Onion peeling ke liye chahiye ( ki rate) ( ki rate), jisse milta hai .
SE3. "Kyunki , hum ko limit lene se pehle se replace karke early simplify kar sakte hain."
Illegal — generally finite ke liye nonzero hota hai; tum ise par tabhi bhej sakte ho jab ke saath limit ke andar ho. Early substitute karna ek exact identity ko approximation mein badal deta hai.
SE4. "."
Outer ka derivative hai, jo unchanged inside par evaluate hota hai, aur inner rate se multiply hota hai: . Unhone galti se exponent ke andar differentiate kar diya.
SE5. "To differentiate , pehle differentiate karo, milega, phir ko mein feed karo: ."
Wrong composition. Tum original inside ko mein feed karte ho aur phir se multiply karte ho: , na ki .
SE6. "Naïve split ek valid proof hai kyunki yeh sahi answer deta hai."
Ek invalid step se sahi answer milna luck hai, proof nahi. Yeh step se divide karta hai, jo infinitely many ke liye ho sakta hai; ek proof har admissible ke liye valid hona chahiye.

Why questions

WH1. Do rates multiply kyun karte hain instead of add?
Kyunki wiggles gears ki tarah sequence mein act karte hain: ko mein scale karta hai, phir use mein scale karta hai, isliye — compounding hota hai, isliye product.
WH2. Proof Leibniz form ki jagah derivative ki limit definition se kyun start karta hai?
Leibniz "cancellation" sirf ek mnemonic hai; ek genuine derivation mein ko difference-quotient limit tak reduce karna padta hai, jo derivative ki actual definition hai.
WH3. Error function ko par continuous kyun banaya jaata hai ( set karke)?
Taaki single identity samete sabhi ke liye hold kare, aur taaki jab — har division-by-zero ki chinta khatam.
WH4. ko par nahi balki par kyun evaluate karte hain?
Outer machine kabhi bhi sirf number dekhti hai, khud nahi. Uski slope wahan read honi chahiye jo actually usmein enter ho raha hai, yaani .
WH5. " differentiable continuous" " differentiable" se zyada kyun matter karta hai?
Product formula ko (differentiability) aur (continuity) dono chahiye taaki error term khatam ho sake. Continuity wo bridge hai jo ki limit ko pe collapse karati hai.
WH6. Implicit differentiation "bas kaam" kyun karta hai bina kisi naye rule ke?
Kyunki yeh chain rule hi hai: ko maanke, mein kisi bhi expression ko differentiate karne par exactly chain rule ki demand ke mutabiq ka factor aata hai (dekho Implicit differentiation).
WH7. Yahi trick Inverse function derivative prove karne ke liye kyun kaam karti hai?
Identity par chain rule lagao: milta hai , isliye — inverse-derivative formula seedha nikal aata hai.

Edge cases

EC1. kya hoga jab inner function constant hai, ( par differentiable hai)?
khud constant hai, isliye ; formula bhi agree karta hai kyunki deta hai . (Agar par differentiable na hota, toh formula simply apply nahi hota — lekin phir bhi constant hai, isliye directly.)
EC2. Us point par kya hoga jahan lekin ?
Composite ka wahan zero slope hoga: . Ek stationary inner wiggle koi output wiggle produce nahi karta, chahe kitni bhi steep ho.
EC3. Kya hote hue ho sakta hai?
Chain rule ke zariye nahi — jab bhi uski hypotheses hold hoti hain, formula force karta hai . Agar observe ho, toh koi hypothesis (differentiability of at ) fail hui hogi, isliye formula kabhi apply hua hi nahi.
EC4. Kya chain rule ( ke saath) par par apply hoti hai?
Haan agar par differentiable hai aur par — aur yahi woh pathological case hai jahan infinitely many ke liye hota hai, jo exactly dikhata hai kyun error-function proof (naïve cancellation nahi) zaroori hai.
EC5. Triple nest ke liye, kitne factors hain aur har derivative kahan evaluate hota hai?
Teen factors: — har outer derivative us value par read hota hai jo actually usmein feed hoti hai, sab multiply kiye jaate hain (bahar se andar peelo). (Innermost function ko hum naam dete hain taaki error-function argument se confuse na ho.)
EC6. Agar ka par corner hai (differentiable nahi) lekin smooth hai, toh kya necessarily par non-differentiable hai?
Nahi — smoothing ho sakti hai. aur ke saath, composite par bilkul differentiable hai; chain rule simply apply nahi hoti, lekin composite direct check se phir bhi differentiable ho sakti hai.

Connections

  • Chain rule — proof, composite function derivatives — parent; yahan ke har trap us proof ke ek step ko target karta hai.
  • Derivative — limit definition — WH2 aur SE3 difference-quotient definition par hinge karte hain.
  • Continuity implies differentiability fails converse — WH5, EC6 "differentiable ⇒ continuous" use karte hain.
  • Implicit differentiation — WH6 ise chain rule ke roop mein recast karta hai.
  • Inverse function derivative — WH7 ise par chain-rule karke derive karta hai.
  • Product rule, Quotient rule — sibling rules jo aksar chain rule ke saath combine hoti hain.