1.8.9 · D3Electromagnetism

Worked examples — Potential of point charge, potential from field and vice versa

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Two facts we lean on the whole way (proven in the parent):


The scenario matrix

Every problem this topic can throw is one of these cells. Each is claimed by at least one worked example below.

# Cell (case class) What makes it tricky Example
C1 Single positive charge, get at a distance baseline, sign of Ex 1
C2 Single negative charge, get — a "valley" Ex 1
C3 Two charges, scalar superposition (mixed signs) add signed values, not vectors Ex 2
C4 Degenerate zero of but field cancels, potential doesn't Ex 3
C5 Degenerate zero of but potential cancels, field doesn't Ex 3
C6 from (1-D slope, sign of ) minus-sign of gradient Ex 4
C7 from (partial derivatives) vector from scalar Ex 5
C8 from a uniform field direction of integration, sign Ex 6
C9 Limiting behaviour and how fast die/blow up Ex 7
C10 Real-world word problem (energy ) translate words → numbers Ex 8
C11 Exam twist: point on the line of a dipole-like pair solve for a location Ex 9

Ex 1 — one charge, both signs (cells C1, C2)

Forecast: guess the two signs and rough size before reading on. Positive charge → hill top → ; negative → valley → . Same magnitude.

  1. Write the formula. . Why this step? One point charge, and needs only the distance , never a direction — that is the whole reason is a scalar.
  2. (a) plug in , . Why this step? Pure arithmetic; units . ✓
  3. (b) flip the sign of . . Why this step? The sign of the charge rides straight into — no absolute values, ever.

Verify: as expected, and doubling to would halve each to because . Sign flips with charge, magnitude fixed by distance. ✓


Ex 2 — scalar superposition, mixed signs (cell C3)

Forecast: the point is close to the positive charge () and far from the negative (), so guess: net positive, but not huge.

Figure — Potential of point charge, potential from field and vice versa
  1. Read distances off the picture. From : . From : . Why this step? ignores direction — a distance is a plain positive length. Look at the two teal brackets in the figure.
  2. Add signed scalar contributions. Why this step? Superposition for potential is algebra, not trigonometry — signs come from the charges, not from geometry.
  3. Compute the bracket, then multiply.

Verify: result is positive (matches forecast) and finite. Units: . ✓


Ex 3 — the two famous degeneracies (cells C4, C5)

Forecast: In one case the field dies but potential is big; in the other the potential dies but field survives. Guess which is which.

Figure — Potential of point charge, potential from field and vice versa

Case (A): two like (top of figure).

  1. Field by symmetry. The left charge pushes right (), the right charge pushes left (), equal magnitude ⇒ at the origin. Why this step? Field is a vector; equal-and-opposite arrows cancel. See the two red arrows meeting head-on.
  2. Potential by scalar sum. Both are positive and equidistant: Why this step? Scalars can't cancel by direction — two hills add. So yet . Cell C4.

Case (B): left, right (bottom of figure).

  1. Potential by scalar sum. Why this step? A hill and an equal valley at equal distance cancel as numbers.
  2. Field by vectors. Left pushes a test charge right; right pulls it right. Both point , they add: Why this step? Vectors that point the same way reinforce. So yet . Cell C5.

Verify: the two cases are mirror images — in (A) the vectors cancel and scalars add; in (B) the scalars cancel and vectors add. This is the definitive counter-example to "." ✓


Ex 4 — field from a 1-D potential, watch the sign (cell C6)

Forecast: at the parabola is rising steeply, so the ball should roll toward smaller — expect .

  1. Differentiate and negate. . Why this step? Field is minus the slope of potential — the minus makes the arrow point downhill. Without it energy conservation breaks.
  2. Evaluate at . . Why this step? Just plug in. Negative ⇒ points in , exactly as forecast (downhill from the rising ).

Verify: at the vertex the slope is zero: , so there — a flat spot has no field, consistent with the slope picture. ✓ Units: . ✓


Ex 5 — vector field from a 3-D potential (cell C7)

Forecast: three partial derivatives → three components. Expect a genuine 3-D arrow.

  1. Take each partial derivative (treat the other variables as constants). Why this step? The gradient stacks these three slopes into one vector; each one measures how climbs along that axis.
  2. Negate to get the field. . Why this step? Same minus sign as 1-D — the field points where decreases fastest.
  3. Evaluate at . . Why this step? Plug the coordinates in; note dropped out because was constant.

Verify: magnitude . The three components are independent — that's the vector nature hides but reveals. ✓


Ex 6 — potential difference from a uniform field (cell C8)

Forecast: field points (downhill is ), so lower = higher ground. (at ) sits higher than (at ): expect .

  1. Use . With constant along : Why this step? Uniform field pulls straight out of the integral; only the endpoint displacement remains.
  2. Plug numbers. . Why this step? Arithmetic. Positive ⇒ is at higher potential — matches the forecast (you climb going against the field).

Verify: flip endpoints: , the negative of our answer — as any well-defined potential difference must be. Units . ✓


Ex 7 — limiting behaviour (cell C9)

Forecast: doubling should halve but quarter , because and .

  1. Values at . Why this step? Baseline to compare against.
  2. Values at . Why this step? Confirms the different power laws — dies slower than .
  3. Limits. As : both (our chosen reference). As : both blow up (, ) — the idealised point charge is a mathematical singularity, not a real object. Why this step? Every good analysis names its extreme cases so no reader is surprised.

Verify: ratio check and — exactly the vs signatures. ✓


Ex 8 — real-world word problem, (cell C10)

Forecast: a positive charge rolls from high to low (downhill), so it should gain kinetic energy.

  1. Energy is charge times potential: . The change in potential energy is Why this step? Potential energy of a charge in a field is ; only the change matters for motion.
  2. Energy conservation: kinetic gained . Why this step? Total energy is conserved, so PE lost becomes KE gained.

Verify: positive ⇒ speeds up, matching the "positive charge rolls downhill" forecast. In electron-volts, — a clean sanity check, since is exactly one electronic charge across . ✓


Ex 9 — exam twist: find the point where (cell C11)

Forecast: the positive charge is stronger, so its hill must be "diluted" to zero by being farther from the (weaker) valley — expect the null closer to the negative charge, i.e. .

  1. Set total potential to zero at position (with , so , ): Why this step? is one scalar equation — no vectors, so we just add signed terms and set the sum to zero (the and the cancel out).
  2. Solve. . Why this step? Cross-multiply; one linear equation, one root in range.

Verify: at : ✓. And , closer to the negative charge — exactly the forecast. Note here (Ex 3's lesson: a spot is not a field-free spot). ✓


Recall

Recall Which cell is which trap?

Field zero but potential big ::: midpoint of two like charges (Ex 3A). Potential zero but field nonzero ::: midpoint of two opposite charges (Ex 3B). Add potentials how? ::: signed scalars, no components (Ex 2). Get from ? ::: minus the gradient, (Ex 4, 5). Double : what happens to and ? ::: halves, quarters (Ex 7).

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