4.1.28 · Maths › Calculus I — Limits & Derivatives
Derivative f ′ ( x ) graph ke point x par slope hota hai. Slope batata hai ki road kis taraf jhuki hai:
Jab right ki taraf chalte hue upar jhuke → function increasing hai → f ′ ( x ) > 0 .
Neeche jhuke → function decreasing hai → f ′ ( x ) < 0 .
Flat (f ′ ( x ) = 0 ) → tum kisi hilltop par, valley ke neeche, ya ek momentary pause par ho.
Toh f ′ ki sign ek complete map hai — function kahan rise aur fall karti hai. Local maxima aur minima exactly wahan hote hain jahan slope sign switch kare.
Definition Increasing / Decreasing
f interval I par increasing hai agar I mein sabhi a < b ke liye f ( a ) < f ( b ) ho.
f , I par decreasing hai agar a < b ⇒ f ( a ) > f ( b ) ho.
First principles se derivation (Mean Value Theorem).
I mein koi bhi a < b lo. Maano f closed interval [ a , b ] par continuous aur open interval ( a , b ) par differentiable hai. Tab Mean Value Theorem kehta hai ki koi c ∈ ( a , b ) hoga jahan
f ′ ( c ) = b − a f ( b ) − f ( a ) .
Ye step kyun? MVT guarantee karta hai ek aisa point jahan instantaneous slope, [ a , b ] ke upar average slope ke barabar hogi. (Dono hypotheses zaroori hain: closed ends par continuity, andar differentiability.)
Ab rearrange karo:
f ( b ) − f ( a ) = f ′ ( c ) ( b − a ) .
Kyunki b − a > 0 hai:
Agar I par har jagah f ′ > 0 hai, toh f ′ ( c ) > 0 , isliye f ( b ) − f ( a ) > 0 , yaani f ( b ) > f ( a ) → increasing . ✓
Agar har jagah f ′ < 0 hai, toh f ( b ) − f ( a ) < 0 → decreasing . ✓
Yahi poora theorem hai — derive kiya, memorise nahi.
Definition Critical point
c , f ka critical point hai agar f ′ ( c ) = 0 ya f ′ ( c ) exist nahi karta (aur c domain mein hai). Local extrema sirf critical points par ho sakte hain (Fermat's theorem).
Intuition Sign-change rule kyun kaam karti hai
Pehle upar phir neeche jaana matlab tum pahad ki choti par the → max. Pehle neeche phir upar jaana matlab tum valley ke neeche the → min. Agar slope dono taraf positive tha, toh tum bas ek momentary pause par ruke (jaise ek seedhi chadhai par ek chhota sa flat step) — koi peak nahi.
f ′ ( x ) nikalo.
Critical points dhundho: f ′ ( x ) = 0 solve karo aur jahan f ′ undefined ho woh bhi dekho.
Unhe number line par mark karo, jisse intervals ban jayein.
Har interval mein ek test point lo, f ′ mein daalo, sign note karo.
Increasing/decreasing intervals padho aur har critical point classify karo.
Worked example Example 1 — ek cubic
f ( x ) = x 3 − 3 x ke extrema classify karo.
Step 1: f ′ ( x ) = 3 x 2 − 3 .
Kyun? Term-by-term power rule.
Step 2: 3 x 2 − 3 = 0 ⇒ x 2 = 1 ⇒ x = ± 1 . Critical points − 1 , 1 .
Step 3–4: Intervals ( − ∞ , − 1 ) , ( − 1 , 1 ) , ( 1 , ∞ ) .
Test x = − 2 : f ′ = 3 ( 4 ) − 3 = 9 > 0 → increasing.
Test x = 0 : f ′ = − 3 < 0 → decreasing.
Test x = 2 : f ′ = 9 > 0 → increasing.
Test points kyun? f ′ roots ke beech continuous hai, isliye sign bina root ke flip nahi ho sakti — ek sample poore interval ki sign fix kar deta hai.
Step 5: x = − 1 par: + → − → local max , value f ( − 1 ) = − 1 + 3 = 2 .
x = 1 par: − → + → local min , value f ( 1 ) = 1 − 3 = − 2 .
Worked example Example 2 — critical point jo extremum NAHI hai
f ( x ) = x 3 . Tab f ′ ( x ) = 3 x 2 = 0 at x = 0 .
Test x = − 1 : f ′ = 3 > 0 . Test x = 1 : f ′ = 3 > 0 .
Sign + → + hai → no extremum (ye horizontal tangent wala inflection hai).
Ye kyun important hai: f ′ ( c ) = 0 akela kabhi extremum prove nahi karta — sign change zaroor check karo.
Worked example Example 3 — derivative undefined (corner)
f ( x ) = ∣ x ∣ mein x < 0 ke liye f ′ ( x ) = − 1 , x > 0 ke liye + 1 hai; f ′ ( 0 ) exist nahi karta.
x = 0 par sign − → + → local (aur global) minimum , bhale hi f ′ ( 0 ) kabhi zero na ho.
Ye step kyun? Critical points mein "derivative undefined" bhi shaamil hai, isliye test kink par bhi kaam karta hai.
Common mistake Steel-manned common errors
Mistake A: "f ′ ( c ) = 0 ⇒ c max ya min hai."
Kyun sahi lagta hai: har smooth peak/valley par f ′ = 0 hota hai. Lekin implication sirf ek taraf jaati hai. Fix: x 3 mein f ′ ( 0 ) = 0 hai phir bhi koi extremum nahi — hamesha sign change verify karo.
Mistake B: Jahan f ′ undefined ho, woh points bhool jana.
Kyun sahi lagta hai: hum usually "f ′ = 0 solve karo" karke ruk jaate hain. Fix: corners/cusps/vertical tangents (jaise ∣ x ∣ ya x 2/3 ) bhi critical hote hain.
Mistake C: Test ke liye critical point khud ko f ′ mein daalna.
Kyun sahi lagta hai: wahi value hai jis par dhyan hai. Lekin f ′ ( c ) = 0 koi sign nahi deta. Fix: c ke bilkul left aur right mein test points lo.
Mistake D: Critical x ko hi "the maximum" bolna. Maximum value f ( c ) hai, c nahi. Dono location aur value batao.
Recall Active recall — answers chhupa lo
Increasing ke liye f ′ ki sign? ::: positive, f ′ ( x ) > 0
Sign rule prove karne wala theorem kaun sa hai? ::: Mean Value Theorem
Point critical hone ke do tarike? ::: f ′ ( c ) = 0 ya f ′ ( c ) undefined
+ → − sign change ka matlab? ::: local maximum
Kya f ′ ( c ) = 0 extremum guarantee karta hai? ::: Nahi (e.g. x 3 )
MVT ke hypotheses? ::: f , [ a , b ] par continuous aur ( a , b ) par differentiable
Recall Feynman: ek 12-saal ke bacche ko explain karo
Socho tum graph ke saath bike chala rahe ho. Jab road upar chadh rahi ho, function bada ho raha hai (slope positive). Neeche utarte waqt, chhota ho raha hai (slope negative). Pahad ki choti par ya valley ke neeche bilkul flat spots hain jahan slope zero hai. Yeh jaanne ke liye ki flat spot hilltop hai ya valley, bas pehle aur baad mein dekho: pehle upar gaye phir neeche = hilltop (max); pehle neeche gaye phir upar = valley (min). Agar dono taraf upar chadh rahe the, toh tum bas ek chhote se flat bump se guzre — koi real peak nahi.
Mnemonic Test yaad karne ka trick
"PND for a Mountain, NPD for a Valley."
P ositive→N egative→D ip down = peak (Max ).
N egative→P ositive = bounce up = trough (Min ).
Same sign = "S ame, S o nothing" (no extremum).
Define an increasing function on an interval I . I mein sabhi a < b ke liye f ( a ) < f ( b ) .
State the link between f ′ sign and monotonicity. f ′ > 0 on I ⇒ increasing; f ′ < 0 ⇒ decreasing.
State the hypotheses of the Mean Value Theorem. f , [ a , b ] par continuous aur ( a , b ) par differentiable.
Which theorem justifies the monotonicity rule, and how? MVT: f ( b ) − f ( a ) = f ′ ( c ) ( b − a ) ; b − a > 0 ke saath f ′ ( c ) ki sign, f ( b ) − f ( a ) ki sign fix karti hai.
Define a critical point. Domain ka woh point jahan f ′ ( c ) = 0 ya f ′ ( c ) exist nahi karta.
State the First Derivative Test. Critical c par: f ′ ka + → − change → local max; − → + → local min; koi change nahi → neither.
Why isn't f ′ ( c ) = 0 enough for an extremum? Slope bina sign switch kiye zero ho sakti hai (e.g. x 3 ka 0 par inflection hai).
Classify extrema of f = x 3 − 3 x . Local max at x = − 1 (value 2), local min at x = 1 (value − 2 ).
Why do we use test points between critical points? f ′ wahan continuous hai, isliye ek hi sign rakhti hai; ek sample poore interval determine kar deta hai.
Give a critical point where f ′ is undefined but an extremum exists. f = ∣ x ∣ ka x = 0 par local minimum hai.
Mean Value Theorem — sign rule ka engine.
Fermat's Theorem on Stationary Points — extrema sirf critical points par hote hain.
Second Derivative Test — concavity f ′′ ke zariye alternative classification.
Concavity and Inflection Points — f ′′ , f ′ se aage kya add karta hai.
Optimization (Closed Interval Method) — ise global extrema tak extend karta hai.
Curve Sketching — f ′ aur f ′′ analysis combine karta hai.
sign changes plus to minus
sign changes minus to plus
number line and test points