Worked examples — Potential of point charge, potential from field and vice versa
1.8.9 · D3· Physics › Electromagnetism › Potential of point charge, potential from field and vice ver
Do facts pe hum poori tarah rely karte hain (parent me prove hue):
Scenario matrix
Is topic ke har possible problem in cells mein se ek hogi. Har cell ka kam se kam ek worked example neeche hai.
| # | Cell (case class) | Kya tricky hai | Example |
|---|---|---|---|
| C1 | Single positive charge, nikalo ek distance par | baseline, ka sign | Ex 1 |
| C2 | Single negative charge, nikalo | — ek "valley" | Ex 1 |
| C3 | Do charges, scalar superposition (mixed signs) | signed values add karo, vectors nahi | Ex 2 |
| C4 | Degenerate zero of but | field cancel, potential nahi | Ex 3 |
| C5 | Degenerate zero of but | potential cancel, field nahi | Ex 3 |
| C6 | from (1-D slope, ka sign) | gradient ka minus-sign | Ex 4 |
| C7 | from (partial derivatives) | scalar se vector | Ex 5 |
| C8 | from a uniform field | integration ki direction, sign | Ex 6 |
| C9 | Limiting behaviour aur | kitni jaldi ghatte/badhte hain | Ex 7 |
| C10 | Real-world word problem (energy ) | words ko numbers mein translate karo | Ex 8 |
| C11 | Exam twist: dipole-like pair ki line par point | ek location ke liye solve karo | Ex 9 |
Ex 1 — ek charge, dono signs (cells C1, C2)
Forecast: padhne se pehle dono signs aur rough size guess karo. Positive charge → hill top → ; negative → valley → . Same magnitude.
- Formula likho. . Ye step kyun? Ek point charge hai, aur ko sirf distance chahiye, koi direction nahi — yahi reason hai ki scalar hai.
- (a) , plug karo. Ye step kyun? Pure arithmetic; units . ✓
- (b) ka sign flip karo. . Ye step kyun? Charge ka sign directly mein aata hai — kabhi bhi absolute values mat lo.
Verify: — expected tha; ko par double karne se dono ho jaate kyunki . Sign charge ke saath flip hota hai, magnitude distance se fix hoti hai. ✓
Ex 2 — scalar superposition, mixed signs (cell C3)
Forecast: point positive charge ke paas hai () aur negative se door (), toh guess karo: net positive, lekin bahut bada nahi.

- Picture se distances padho. se: . se: . Ye step kyun? direction ignore karta hai — distance ek plain positive length hai. Figure mein do teal brackets dekho.
- Signed scalar contributions add karo. Ye step kyun? Potential ke liye superposition algebra hai, trigonometry nahi — signs charges se aate hain, geometry se nahi.
- Bracket compute karo, phir multiply karo.
Verify: result positive hai (forecast se match) aur finite hai. Units: . ✓
Ex 3 — do famous degeneracies (cells C4, C5)
Forecast: ek case mein field zero ho jaata hai lekin potential bada rehta hai; doosre mein potential zero ho jaata hai lekin field rehta hai. Guess karo kaun kaun sa hai.

Case (A): do like (figure ka top).
- Field by symmetry. Left charge right taraf push karta hai (), right charge left taraf push karta hai (), equal magnitude ⇒ at origin. Ye step kyun? Field ek vector hai; equal-and-opposite arrows cancel ho jaate hain. Do red arrows head-on milte dekho.
- Potential by scalar sum. Dono positive hain aur equidistant hain: Ye step kyun? Scalars direction se cancel nahi ho sakte — do hills add hoti hain. Toh phir bhi . Cell C4.
Case (B): left, right (figure ka bottom).
- Potential by scalar sum. Ye step kyun? Ek hill aur equal valley equal distance par as numbers cancel ho jaate hain → .
- Field by vectors. Left ek test charge ko right dhakelta hai; right usse right kheenchta hai. Dono direction mein hain, ye add ho jaate hain: Ye step kyun? Same direction mein point karne wale vectors reinforce karte hain. Toh phir bhi . Cell C5.
Verify: dono cases mirror images hain — (A) mein vectors cancel aur scalars add; (B) mein scalars cancel aur vectors add. Ye definitive counter-example hai "" ke liye. ✓
Ex 4 — 1-D potential se field, sign dhyan se (cell C6)
Forecast: par parabola steeply upar ja rahi hai, toh ball ko chota ki taraf roll karna chahiye — expect karo .
- Differentiate karo aur negate karo. . Ye step kyun? Field minus the slope of potential hota hai — minus arrow ko downhill point karata hai. Iske bina energy conservation toot jaati hai.
- par evaluate karo. . Ye step kyun? Bas plug in karo. Negative ⇒ mein point karta hai, exactly forecast ke anusaar (rising se downhill).
Verify: vertex par slope zero hai: , toh wahan — flat spot mein koi field nahi, slope picture se consistent hai. ✓ Units: . ✓
Ex 5 — 3-D potential se vector field (cell C7)
Forecast: teen partial derivatives → teen components. Genuinely 3-D arrow milega.
- Har partial derivative lo (baaki variables ko constants maano). Ye step kyun? Gradient in teen slopes ko ek vector mein stack karta hai; har ek measure karta hai ki us axis ke along kitna chadh raha hai.
- Negate karke field nikalo. . Ye step kyun? Same minus sign jaisa 1-D mein — field wahan point karta hai jahan sabse tezi se ghatta hai.
- par evaluate karo. . Ye step kyun? Coordinates plug in karo; note karo ki drop out ho gaya kyunki constant tha.
Verify: magnitude . Teen components independent hain — yahi vector nature hai jo chupaata hai lekin reveal karta hai. ✓
Ex 6 — uniform field se potential difference (cell C8)
Forecast: field direction mein point karta hai (downhill hai), toh chota = zyada upar. ( par) ( par) se upar hai: expect karo .
- use karo. constant hai ke along: Ye step kyun? Uniform field integral se seedha bahar aa jaata hai; sirf endpoint displacement bachta hai.
- Numbers plug karo. . Ye step kyun? Arithmetic. Positive ⇒ higher potential par hai — forecast se match (field ke against jaane par tum chadh rahe ho).
Verify: endpoints flip karo: , hamara answer ka negative — jaisa kisi bhi well-defined potential difference ke liye hona chahiye. Units . ✓
Ex 7 — limiting behaviour (cell C9)
Forecast: double karne par half ho jaana chahiye lekin quarter ho jaana chahiye, kyunki aur .
- par values. Ye step kyun? Compare karne ke liye baseline.
- par values. Ye step kyun? Different power laws confirm karta hai — se dhire marta hai.
- Limits. par: dono (hamara chosen reference). par: dono blow up ho jaate hain (, ) — idealised point charge ek mathematical singularity hai, real object nahi. Ye step kyun? Har acchi analysis apne extreme cases name karti hai taaki koi reader surprised na ho.
Verify: ratio check aur — exactly vs signatures. ✓
Ex 8 — real-world word problem, (cell C10)
Forecast: ek positive charge high se low ki taraf roll karta hai (downhill), toh use kinetic energy gain honi chahiye.
- Energy charge times potential hai: . Potential energy mein change: Ye step kyun? Potential energy of a charge in a field hoti hai; motion ke liye sirf change matter karta hai.
- Energy conservation: kinetic gained . Ye step kyun? Total energy conserved hai, toh PE lost, KE gain hoti hai.
Verify: positive ⇒ speed badhti hai, "positive charge rolls downhill" forecast se match. Electron-volts mein, — ek clean sanity check, kyunki exactly ek electronic charge ka across energy hai. ✓
Ex 9 — exam twist: woh point dhundho jahan ho (cell C11)
Forecast: positive charge stronger hai, toh uski hill ko (weaker) valley se zero karne ke liye zyada door hona padega — expect karo ki null negative charge ke paas ho, yani .
- Total potential zero set karo position par (, toh , ): Ye step kyun? ek scalar equation hai — koi vectors nahi, toh hum sirf signed terms add karte hain aur sum zero set karte hain ( aur cancel ho jaate hain).
- Solve karo. . Ye step kyun? Cross-multiply karo; ek linear equation, ek root in range.
Verify: par: ✓. Aur hai, negative charge ke paas — exactly forecast. Note karo ki yahan hai (Ex 3 ka lesson: spot field-free spot nahi hota). ✓
Recall
Recall Kaun sa cell kaun sa trap hai?
Field zero lekin potential bada ::: do like charges ka midpoint (Ex 3A). Potential zero lekin field nonzero ::: do opposite charges ka midpoint (Ex 3B). Potentials kaise add karte hain? ::: signed scalars, no components (Ex 2). se kaise nikalte hain? ::: minus the gradient, (Ex 4, 5). double karo: aur ka kya hoga? ::: half hoga, quarter hoga (Ex 7).
Connections
- Coulomb's Law · Electric Field of Point Charge · Potential Energy of Charge System · Equipotential Surfaces · Conservative Fields and Curl · Gradient Operator