4.1.28 · D4 · HinglishCalculus I — Limits & Derivatives

ExercisesApplications — increasing - decreasing, local extrema (first derivative test)

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4.1.28 · D4 · Maths › Calculus I — Limits & Derivatives › Applications — increasing - decreasing, local extrema (first

Figure — Applications — increasing - decreasing, local extrema (first derivative test)

Upar wali figure woh sign-chart tool hai jis par hum throughout rely karte hain — ise ek baar yahan dhyan se dekho taaki neeche ki har solution sirf yeh keh sake "sign chart banao." Jis recipe ko yeh picture karta hai: critical points mark karo, line ko intervals mein split karo, har interval mein ek test point lo, wahan ka sign record karo. Sign flip matlab hilltop; matlab valley bottom. Yeh figure L2·Q2 ke exact critical points aur ke liye bana hai (signs ), toh us solution ko is picture ke against padho.


Level 1 — Recognition

Recall Solution

Hum kya karte hain: test values ko mein plug karo aur sign dekho. Hume ki zarurat nahi — ka sign hi rising/falling ka poora map hai.

  • par decreasing.
  • par increasing.
Recall Solution

Critical hone ke do tarike: ya undefined jabki , ke domain mein ho.

  • : fraction zero tabhi hoga jab uska numerator zero ho → . ✓
  • undefined: par denominator zero hai. Lekin ke domain mein nahi hai, toh yeh ka critical point nahi hai — kisi point ko count hone ke liye domain mein hona zaruri hai.

Answer: sirf ek hi critical point hai: .


Level 2 — Application (recipe chalao)

Recall Solution

Step 1 — differentiate. (power rule term by term; constant ki slope hai). Step 2 — critical points. . ek polynomial hai, har jagah defined, toh koi "undefined" points nahi. Step 3–4 — test points ke dono taraf:

  • : par decreasing.
  • : par increasing. Step 5 — classify. Sign jaata hai → par local minimum. Uski value hai . Answer: par decreasing, par increasing; local min at .
Recall Solution

Step 1. . Step 2. Zero set karo: . Step 3–4. Teen intervals; har ek mein ek point test karo (yahi exactly top figure ka chart hai):

  • : par increasing.
  • : par decreasing.
  • : par increasing. Step 5.
  • At : local max, value .
  • At : local min, value . Answer: local max , local min .

Level 3 — Analysis (undefined derivatives, subtle traps)

Recall Solution

Step 1. . Step 2 — critical points. ka koi solution nahi (numerator kabhi zero nahi hota). Lekin at undefined hai ( se division), aur ke domain mein hai (kyunki ). Toh ek critical point hai — "derivative-does-not-exist" wale kind ka. Step 3–4. Dono taraf test karo. Key hai ka sign: yeh ke liye negative aur ke liye positive hota hai.

  • : , toh par decreasing.
  • : , toh par increasing. Step 5. Sign par local minimum, value . Geometrically yeh ek sharp cusp hai — graph neeche aata hai, point karta hai, aur wapas upar jaata hai. Answer: par local min; koi aur critical point nahi.
Recall Solution

Part A — (honest minimum). . set karne par ek hi critical point milta hai . Dono taraf test karo:

  • : → decreasing.
  • : → increasing. Sign par local minimum. Toh genuinely ek extremum rakhta hai — yeh "zero slope ⇒ extremum" ka counterexample nahi hai, bas yeh ek aisa case hai jahan implication hold karta hai.

Part B — (real trap). (chain rule: outer power , inner derivative ). Zero karne par milta hai, ek critical point. Kyunki hamesha (even power), har jagah:

  • : → increasing.
  • : → increasing. Sign dono taraf same signkoi extremum nahi. Point horizontal tangent wala ek inflection point hai. Answer: par par local min hai; par par critical point hai lekin koi extremum nahi. Fark: at sign change karta hai, jabki (even power) nahi karta.

Level 4 — Synthesis (ideas combine karo)

Recall Solution

Pehle domain. Hume chahiye. Toh domain hai closed interval . Step 1 — differentiate (product + chain rule). likho. Ek denominator par combine karo: Step 2 — critical points.

  • : numerator zero → . Dono ke andar hain. ✓
  • undefined: denominator par zero — lekin yeh domain ke endpoints hain, toh inhe alag neeche one-sided reasoning se classify karenge. Step 3–4 — ka sign (denominator interior par, toh sign numerator follow karta hai):
  • : par decreasing.
  • : par increasing.
  • : par decreasing. Step 5 — interior critical points classify karo.
  • At : local min. Value .
  • At : local max. Value . Step 6 — endpoints classify karo (one-sided test). Closed domain par ek endpoint local extremum hota hai agar "downhill" taraf move kare jab tum usse andar ki taraf step karo.
  • Left endpoint par: thoda right mein, par, (decreasing) hai. Toh se andar step karne par function neeche jaata hai, matlab apne immediate neighbours se upar hai → local maximum. Value .
  • Right endpoint par: thoda left mein, par, , toh ke paas function abhi bhi gir raha hai; is se apne immediate neighbours se neeche hai → local minimum. Value . Answer: interior local min aur local max ; endpoint local max aur endpoint local min .
Recall Solution

Domain. kabhi zero nahi → domain saare real hain. Step 1 — quotient rule. Step 2. Denominator hamesha, toh . Koi undefined points nahi. Step 3–4 — sign numerator follow karta hai:

  • : par decreasing.
  • : par increasing.
  • : par decreasing. Step 5.
  • At : local min, value .
  • At : local max, value . Answer: local min , local max .

Level 5 — Mastery (prove / generalise)

Recall Solution

Step 1. . Reasoning. Local extremum ke liye ek critical point chahiye jahan ka sign change ho. Kyunki mein ek upward parabola hai:

  • Agar : sabhi ke liye (kabhi zero nahi) → kabhi zero nahi, strictly increasing → koi extrema nahi. ✓
  • Agar : , sirf par zero lekin (sign change nahi) → koi extrema nahi (inflection). ✓
  • Agar : ke do roots hain , aur parabola unke beech zero se neeche jaata hai → jaata hai → genuine local max phir local min → extrema hain. Answer: ka koi local extrema nahi exactly tab jab .
Recall Solution

Goal. Dikhao: mein kisi bhi ke liye, (increasing ki definition). Setup. Kyunki , par differentiable hai (iska matlab hai " exist karta hai"), yeh par continuous aur par differentiable bhi hai — exactly Mean Value Theorem ke hypotheses. MVT apply karo. Koi exist karta hai jiske saath MVT kyun aur kuch nahi? Hume slope ke baare mein ek statement ko values vs ke baare mein statement mein convert karna hai. MVT exactly woh bridge hai: yeh par average slope ko andar kisi jagah actual instantaneous slope ke barabar karta hai. Finish. Rearrange karo: . Hypothesis se , aur kyunki . Positive times positive positive hota hai, toh , yaani . Kyunki arbitrary the, , par increasing hai.

Recall Solution

Step 1. . Step 2 — interior critical points. . se divide karne se pehle, check karo ki woh points jahan hai (yaani ) miss na ho jayein:

  • par: .
  • par: . Dono critical nahi hain, toh divide karna safe tha. par, deta hai aur . Step 3–4 — ka sign:
  • : par increasing.
  • : par decreasing.
  • : par increasing. Step 5 — interior critical points.
  • At : local max, value .
  • At : local min, value . Step 6 — endpoints (one-sided test).
  • Left endpoint : thoda right mein, par, (increasing) hai. Andar step karne par function upar jaata hai, toh apne neighbours se neeche hai → local minimum, value .
  • Right endpoint : thoda left mein, par, (increasing) hai, toh ke paas pahunchte waqt function abhi bhi chadh raha hai; is se apne neighbours se upar hai → local maximum, value . Answer: interior local max , interior local min ; endpoint local min aur endpoint local max .

Connections

  • Mean Value Theorem — woh engine jisse hum monotonicity prove karte hain (L5·Q2).
  • Fermat's Theorem on Stationary Points — isliye hum sirf critical points search karte hain.
  • Second Derivative Test — ek faster classifier jab easy ho.
  • Concavity and Inflection Points wala inflection yahan rehta hai.
  • Optimization (Closed Interval Method) — L4·Q1 ke endpoints ko global extrema tak extend karo.
  • Curve Sketching — in sabhi results ko ek graph mein assemble karo.