A field team faces an unresolved physical question: Where τ and the -3 dB bandwidth come from They must answer it before changing sensor time constant on the real device. Predict the direction first.
See the relationship before changing it
The figure reads from left to right. The blue card is sensor time constant. The middle card applies this page's relationship. The green card is -3 db bandwidth. Walk the arrows once: set the input, apply the rule, then read the result with its unit.
The retained audit below checks several chapter fixtures. This added model holds every other chapter fixture fixed, so the numeric fixture does not switch without explanation.
Derive the baseline in four named moves
- 1
Name the input. The chapter baseline for sensor time constant is 2.
- 2
Name the relationship. g(t) = g(0) x e^(-t/τ); response = 1 - e^(-t/τ); f_3dB = 1/(2πτ)
- 3
Substitute the chapter fixture. Set sensor time constant to 2. The page ledger gives -3 db bandwidth as 0.0796 Hz.
- 4
Read the result. Keep Hz beside the value. Use it only inside the technical boundary on this page.
Predict, then change sensor time constant
Try Predict the direction of -3 db bandwidth. Move one control, calculate, then check your prediction.
Observe The readouts use response = 1 - e^(-0.5/τ) and f_3dB = 1/(2πτ), the same formulas this page derives. Reset the control to 2 and compare -3 db bandwidth.
Explain Only sensor time constant moves here. The other chapter fixtures remain fixed.
Check yourself
What should you do before trusting a moved-control result?
What does this small model leave out?
1. Begin with the physical story
Imagine the thermistor starts at 0% of a temperature step and the world suddenly moves to 100%. The sensor cannot jump there. Its thermal mass makes it close the gap gradually.
What does a derivative say?
A derivative is a rate: how fast something is changing at this instant. If x is the sensor reading and t is time, then dx/dt means “the reading's change per second.” It is the slope you would see if you zoomed into the response curve at one moment.
Read that equation in words: the sensor's speed of change equals the gap still left to close, divided by the time constant.
| Piece | Physical meaning | Unit check |
|---|---|---|
| x_final − x | The temperature gap the sensor has not caught yet. | Temperature |
| τ | How much the sensor's physics slows the catch-up. | Seconds |
| dx/dt | How fast the indicated temperature is changing now. | Temperature per second |
2. Exponentials are “decay of the gap”
Let the remaining gap be g = x_final − x. A first-order sensor removes the same fraction of that gap over equal stretches of time. That is exponential decay.
The number e is about 2.718. You do not need to worship it or memorise its digits. It appears because continuous “fraction of what remains” change produces an exponential. At one time constant, t = τ, the gap multiplier is e⁻¹ ≈ 0.368. So 36.8% of the gap remains and 63.2% has been closed.
TryMove τ from 0.5 s to 5 s and watch how much of the fixed 0.5 s event the sensor can show.
ObserveA larger τ makes the half-second response smaller and the −3 dB bandwidth lower.
ExplainThe readouts use response = 1 − e^(−0.5/τ) and f_3dB = 1/(2πτ), the same formulas this page derives.
The slider keeps the event duration at the chapter's 0.5 s and varies only the ideal first-order time constant; a mounted probe still
- a physical step test
- Needs separate evidence
Use field evidence or a deeper model before release.
3. Derive the step response, one named move at a time
Assume the sensor starts at zero, x(0) = 0, and the final input x_final stays constant after the step.
Start with the physical lawdx/dt = (x_final − x) / τ
Separate the variablesMove every x term beside dx and move dt to the other side.dx / (x_final − x) = dt / τ
Integrate both sidesThe left integral is a logarithm; the minus sign appears because the derivative of x_final − x is −1.−ln(x_final − x) = t/τ + C
Collect the constantMultiply by −1 and rename the arbitrary constant.ln(x_final − x) = −t/τ + C₁
Undo the logarithmRaise e to both sides. The exponentiated constant becomes a new positive constant A.x_final − x = A e^(−t/τ)
Use the starting conditionAt t = 0 and x = 0, the equation says x_final = A × 1, so A = x_final.x_final − x = x_final e^(−t/τ)
Make x the subjectSubtract the remaining-gap term from x_final.x(t) = x_final [1 − e^(−t/τ)]
That last line is the chapter's step-response equation. Nothing new was assumed between the physical “close the gap” law and the exponential curve.
4. Turn τ into the chapter's settling numbers
Divide the response by the final value to get the fraction completed:
| Time | Substitution | Completed | Chapter meaning |
|---|---|---|---|
| 1τ = 2 s | 1 − e⁻¹ | 0.632 = 63.2% | One time constant is still far from settled. |
| 3τ = 6 s | 1 − e⁻³ | 0.950 = 95.0% | This gives the chapter's roughly 6-second 95% point. |
| 5τ = 10 s | 1 − e⁻⁵ | 0.993 = 99.3% | This is the chapter's “about 99%” milestone. |
5. Derive the −3 dB bandwidth from the same model
A time response and a frequency response are two views of the same sensor. Start from the first-order transfer function used by the chapter's model:
Write the transfer functionH(s) = 1 / (1 + sτ)
Ask about a sinusoidFor frequency response, replace s with jω, where ω is angular frequency in radians per second.H(jω) = 1 / (1 + jωτ)
Take the magnitudeThe size of 1 + jωτ is √[1 + (ωτ)²].|H(jω)| = 1 / √[1 + (ωτ)²]
Define the −3 dB point−3 dB in amplitude means the output is 1/√2 ≈ 0.707 of the low-frequency amplitude.1 / √[1 + (ωτ)²] = 1 / √2
Square both sides1 / [1 + (ωτ)²] = 1/2
Cross-multiply2 = 1 + (ωτ)²
Subtract 1 and take the positive rootFrequency is non-negative, so use ωτ = 1.ω = 1/τ
Convert radians per second to hertzBecause ω = 2πf, divide by 2π.f_3dB = 1 / (2πτ)
6. Work every chapter-specific number
Bandwidth of the 2-second thermistor
That is below 0.1 Hz, exactly as the chapter states.
What 100 samples per second buys
Those samples describe the same slow climb in fine detail. They do not make the thermistor reach the final temperature sooner.
What a half-second spike looks like
Even in the ideal first-order model, after 0.5 seconds the probe has shown only about 22.1% of the step. The event-rate comparison tells the same story:
The half-second event's simple rate check is about 25 times the sensor's −3 dB bandwidth. The honest design response is a faster sensor or a changed requirement, not pretending that a faster ADC recovers the peak.
7. Check yourself
Try each question before revealing the answer. Writing one line of working is enough.
1. In plain language, what does dx/dt = (x_final − x)/τ say?
2. For τ = 2 s, what percentage of the step is complete after 2 s?
3. Why does the chapter use about 6 s for the 95% point?
4. Calculate the −3 dB bandwidth for τ = 2 s.
5. Does sampling at 100 samples/s make the half-second spike visible at full size?
These are the chapter inputs, worked results, and named teaching assumptions.
- Every numerical input on this page comes from the companion chapter: τ = 2 s
- Time, interval, or service-life value
- 100 samples/s
- Frequency, sample rate, or event rate
- a 0.5 s spike
- Time, interval, or service-life value
- 3τ ≈ 95%
- Percentage, ratio, or gain
- 5τ ≈ 99% milestones
- Percentage, ratio, or gain
- the “below 0.1 Hz” bandwidth statement
- Frequency, sample rate, or event rate
- 22.1%
- Percentage, ratio, or gain
- 0.0796 Hz
- Frequency, sample rate, or event rate
- 600-sample
- Device, payload, or sample count
- 200-sample-per-τ
- Device, payload, or sample count
- 2 Hz
- Frequency, sample rate, or event rate
- 25.1×
- Percentage, ratio, or gain
The first-order model is an approximation; a real mounted probe must still be step-tested.
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