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Orders of Magnitude in Electromagnetics
Frequency, period and wavelength
In free space,
\[\lambda=\frac{c}{f},\qquad T=\frac1f.\]| Frequency | Period | Free-space wavelength | Mental picture |
|---|---|---|---|
| 1 Hz | 1 s | $3\times10^8$ m | planetary scale |
| 1 kHz | 1 ms | 300 km | low-frequency fields |
| 1 MHz | 1 μs | 300 m | AM/HF/VHF transition scale |
| 10 MHz | 100 ns | 30 m | HF |
| 100 MHz | 10 ns | 3 m | VHF |
| 1 GHz | 1 ns | 30 cm | microwave / wireless |
| 10 GHz | 100 ps | 3 cm | radar / microwave |
| 100 GHz | 10 ps | 3 mm | mmWave |
| 1 THz | 1 ps | 300 μm | THz |
| 100 THz | 10 fs | 3 μm | infrared |
| 500 THz | 2 fs | 600 nm | visible-light scale |
A very useful RF rule is
\[\boxed{\lambda(\mathrm{cm})\approx\frac{30}{f(\mathrm{GHz})}}.\]Electrical size
Physical size by itself is not enough. What matters is
\[\frac{L}{\lambda}\quad\text{or}\quad ka=\frac{2\pi a}{\lambda}.\]- $L\ll\lambda$: lumped/quasistatic intuition often works.
- $L\sim\lambda$: phase variation, standing waves and radiation matter.
- $L\gg\lambda$: the object is electrically large; asymptotic or large full-wave methods may be needed.
RF power and dBm intuition
| Power | dBm |
|---|---|
| 1 W | +30 dBm |
| 100 mW | +20 dBm |
| 10 mW | +10 dBm |
| 1 mW | 0 dBm |
| 100 μW | −10 dBm |
| 1 μW | −30 dBm |
| 1 nW | −60 dBm |
| 1 pW | −90 dBm |
| 1 fW | −120 dBm |
Remember:
\[+3\ \mathrm{dB}\approx2\times\text{ power},\qquad +10\ \mathrm{dB}=10\times\text{ power}.\]A negative dBm value means less than 1 mW, not negative physical power.
Thermal-noise scale
Near room temperature,
\[N_0\approx-174\ \mathrm{dBm/Hz}.\]Ignoring noise figure for the moment:
| Bandwidth | Thermal noise near 290 K |
|---|---|
| 1 Hz | −174 dBm |
| 1 kHz | −144 dBm |
| 100 kHz | −124 dBm |
| 1 MHz | −114 dBm |
| 10 MHz | −104 dBm |
| 100 MHz | −94 dBm |
Each factor of 10 in bandwidth raises integrated noise by 10 dB.
Magnetic-field scales
| Field | Approximate scale | Context |
|---|---|---|
| femtotesla | $10^{-15}$ T | ultimate atomic/biomagnetic sensing scales |
| picotesla | $10^{-12}$ T | biomagnetism and precision laboratory signals |
| nanotesla | $10^{-9}$ T | small anomalies / precision field changes |
| microtesla | $10^{-6}$ T | geomagnetic-scale quantities |
| Earth’s field | roughly $25$–$65\,\mu$T | location dependent |
| millitesla | $10^{-3}$ T | laboratory bias magnets, permanent magnets at distance |
| tesla | 1 T | strong laboratory magnets |
| clinical MRI | commonly 1.5–3 T | main $B_0$ field |
| high-field MRI/research | 7 T and above | specialized systems |
For ground-state atomic magnetometry the meaningful scale is often not only $B$, but $\gamma B$ relative to linewidth and relaxation rates.
Electric-field scales
Electric field spans an enormous range. A useful relation for an ideal free-space plane wave is
\[\langle S\rangle=\frac{E_{\rm rms}^2}{\eta_0}.\]Therefore
\[E_{\rm rms}=\sqrt{\eta_0\langle S\rangle}.\]For example, a plane-wave power density of $1\ \mathrm{W/m^2}$ corresponds to approximately $19.4\ \mathrm{V/m}$ rms.
Copper skin depth
For a good conductor,
\[\delta=\sqrt{\frac{1}{\pi f\mu\sigma}}.\]For copper with $\sigma\approx5.8\times10^7\ \mathrm{S/m}$ and $\mu_r\approx1$:
| Frequency | Skin depth |
|---|---|
| 60 Hz | ≈ 8.5 mm |
| 1 MHz | ≈ 66 μm |
| 1 GHz | ≈ 2.1 μm |
| 10 GHz | ≈ 0.66 μm |
The $1/\sqrt f$ dependence is more important than memorizing any one value.
Time scales in RF and atomic experiments
| Time | Corresponding inverse frequency | Typical interpretation |
|---|---|---|
| 1 s | 1 Hz | slow drift / field changes |
| 1 ms | 1 kHz | modulation / slow control |
| 1 μs | 1 MHz | atomic/RF transients |
| 1 ns | 1 GHz | microwave cycle |
| 1 ps | 1 THz | ultrafast / THz cycle |
| 1 fs | 1 PHz | optical-cycle scale |
A system cannot follow modulation much faster than the inverse of its relevant response time or bandwidth.
Antenna size and far field
For maximum antenna dimension $D$,
\[R_{FF}\gtrsim\frac{2D^2}{\lambda}\]is a common far-field criterion.
This can be surprisingly large for electrically large apertures. A large phased array can require a far-field range much longer than “a few wavelengths.”
Atomic and Rydberg scales
Useful mental hierarchy:
- ground-state atomic dimensions: ångström scale;
- highly excited Rydberg electronic radius: grows approximately as $n^2$;
- optical transition frequencies: hundreds of THz;
- microwave Rydberg transitions: often MHz–100s of GHz depending on states;
- EIT/atomic-resonance linewidths: experiment dependent, often kHz–MHz scales;
- detector/readout bandwidth can be far smaller than optical frequency because only the envelope or beat signal is measured.
Build your own scale estimate
Before a detailed calculation, write three lines:
- Characteristic length $L$ and wavelength $\lambda$.
- Characteristic time $\tau$ and inverse frequency $1/\tau$.
- Characteristic field/power and the expected detector/noise scale.
Then ask whether your exact answer is consistent with all three.
See also: Scaling Laws · Interactive Calculators · Worked Examples