Magnetism and Electromagnetic Induction

They experience no net force because they cancel each other out eventually resulting in equilibrium state.

They repel each other without exception since their poles collide and cause opposite forces.

They begin to rotate around each other due to the creation of a dynamic dipole-dipole moments system.

They attract each other because their adjacent poles are opposite directing them toward a union.

No change occurs in the field inside

Field increases fourfold

Its magnitude decreases by half

There is no change in the energy stored.

The energy stored decreases.

The energy stored increases.

The capacitor begins to conduct electricity, releasing stored energy as heat.

The saturation magnetization level could increase since more aligned domains contribute to overall magnetism with higher permeability.

The saturation magnetization level could decrease as domain wall movement becomes more difficult with higher permeability values.

The saturation magnetization level might decline due to reduced domain wall cross-sectional area caused by increased permeability resistance forces against alignment shifts within domains.

Saturation magnetization levels are unaffected because they depend solely on temperature regardless of changes in permeability.

Stronger magnetic field strength

Lower gravitational pull

Higher electric field strength

Shorter range of magnetism

Coulomb-meter (C·m)

Joule per tesla (J/T)

Tesla square meter (T·m²)

Ampere-square meter (A·m²)

$\tau = \mu + B \sin \theta$

$\tau = \frac{\mu}{B} \sin \theta$

$\tau = \frac{B}{\mu} \sin \theta$

$\tau = \mu B \sin \theta$

A calculation for determining electric charge distribution within materials.

The rate at which energy dissipates within an electromagnetic system.

A measure of the strength and orientation of an object's magnetism.

The inertia experienced by charged particles moving through fields.

Ampere (A)

Newton (N)

Weber (Wb)

Tesla (T)

Neglecting air resistance and frictional forces as trivial concerns in comparison to the intrinsic complexities involving atoms and molecular levels.

Computational models may account for the complexities of inter-electron interactions necessary to fully describe how different alloys affect overall moments.

Discrepancies arising from differences in assumed values of conductivities and thermal expansion coefficients used in modeling.

Simplistic assumptions about uniformity of composition throughout the bulk can lead to mismatches with experimental outcomes.