---
title: "Sensitivity of Q in Tow-Thomas LPF"
subject: "Filter Design"
chapter: 7
key: "semester_5/filter_design:sensitivity-q-tow-thomas"
source: https://www.bctengineer.com/q/semester_5/filter_design/sensitivity-q-tow-thomas
site: BCT Engineering
---

# Sensitivity of Q in Tow-Thomas LPF

Filter Design · Chapter 7: Sensitivity

- Asked in: 2082 Baisakh, 1+1+4 marks; 2081 Bhadra, 1+5 marks; 2082 Chaitra (new course), 3 marks; 2073 Shrawan, 6 marks; 2071 Shrawan, 1+1+2 marks; 2080 Baisakh, 4 marks (asked 6 times)
- Answer checked by Claude Sonnet 5.5 on 2026-10-14
- Page: https://www.bctengineer.com/q/semester_5/filter_design/sensitivity-q-tow-thomas
- Whole chapter: https://www.bctengineer.com/md/semester_5/filter_design/chapter-7

## Question

What is sensitivity? Describe its importance in filter design. Perform sensitivity analysis of quality factor (Q) in Tow-Thomas low pass filter.

## Short answer

Sensitivity S_x^y=(x/y)(∂y/∂x) measures how component variations shift a parameter, guiding tolerance allocation and circuit choice, especially in high-Q designs. In the Tow-Thomas LP biquad, Q=R2√(C1/(R1R4C2)), so S_{R2}^Q=1, S_{C1}^Q=1/2, S_{R1}^Q=S_{R4}^Q=S_{C2}^Q=−1/2; all are small and Q-independent.

## Answer

#### What is sensitivity
**Sensitivity** is the per-unit (fractional) change in a filter parameter $y$ (such as $\omega_o$, $Q$ or gain) caused by a per-unit change in an element value $x$:
$$
S^y_x = \frac{\partial y / y}{\partial x / x} = \frac{x}{y}\frac{\partial y}{\partial x} = \frac{\partial \ln y}{\partial \ln x}
$$
So $\dfrac{\Delta y}{y} \approx S^y_x \dfrac{\Delta x}{x}$.

#### Importance in filter design
- Real components have tolerances (e.g. ±5% resistors, ±10% capacitors) and drift with temperature and ageing. Sensitivity tells how much these errors shift $\omega_o$, $Q$ and gain.
- It lets the designer compare circuits that realize the same $T(s)$ and choose the one least affected by element changes (low-sensitivity design).
- It shows which elements need tight tolerance or trimming, which controls cost.
- High-$Q$ filters are especially sensitive, so sensitivity decides whether a design will work after manufacture.

#### Sensitivity of Q in the Tow-Thomas low-pass filter
**Tow-Thomas low-pass biquad:** OA1 is a lossy integrator ($R_2 \parallel C_1$ in feedback, inputs $V_{in}$ through $R_3$ and $V_3$ through $R_1$), OA2 is an integrator ($R_4$, $C_2$), and OA3 is a unity-gain inverter ($V_3 = -V_2$).

```text
        +------R2------+
        +------||------+
        |      C1      |        +--||--+
Vin-R3--+--|-\         |        |  C2  |
        |  |  >--------+--R4----+-|-\  |
        |  +|/  V1     (OA1)    | |  >-+-- V2 (LP)
        | GND                GND+|/    |
        |                     (OA2)    |
        +--R1-- V3 --[inverter -1]-----+
                         (OA3)
```

Node equations (ideal op-amps):
$$
\begin{aligned}
V_1\left(\frac{1}{R_2} + sC_1\right) &= -\frac{V_{in}}{R_3} - \frac{V_3}{R_1} \\
V_2 &= -\frac{V_1}{sR_4C_2}, \qquad V_3 = -V_2
\end{aligned}
$$
Solving:
$$
T(s) = \frac{V_2}{V_{in}} = \frac{\dfrac{1}{R_3R_4C_1C_2}}{s^2 + \dfrac{s}{R_2C_1} + \dfrac{1}{R_1R_4C_1C_2}}
$$
So
$$
\omega_o = \frac{1}{\sqrt{R_1R_4C_1C_2}} = R_1^{-1/2}R_4^{-1/2}C_1^{-1/2}C_2^{-1/2},
\qquad
Q = \omega_o R_2C_1 = R_2\sqrt{\frac{C_1}{R_1R_4C_2}}
$$

**Sensitivity of $Q$:** $Q = R_2\,C_1^{1/2}\,R_1^{-1/2}R_4^{-1/2}C_2^{-1/2}$, so
$$
S^{Q}_{R_2} = 1, \quad S^{Q}_{C_1} = \frac12, \quad S^{Q}_{R_1} = S^{Q}_{R_4} = S^{Q}_{C_2} = -\frac12, \quad S^Q_{R_3} = S^Q_r = 0
$$
For example, $S^Q_{R_2} = \dfrac{R_2}{Q}\cdot\dfrac{\partial Q}{\partial R_2} = \dfrac{R_2}{Q}\cdot\dfrac{Q}{R_2} = 1$.

Check: sum over resistors $= 1 - \frac12 - \frac12 = 0$, sum over capacitors $= \frac12 - \frac12 = 0$, as expected for a dimensionless quantity.

| Element | $S^Q$ |
|---|---|
| $R_1$ | −1/2 |
| $R_2$ | 1 |
| $R_3$ | 0 |
| $R_4$ | −1/2 |
| $C_1$ | 1/2 |
| $C_2$ | −1/2 |

All $Q$-sensitivities are small (magnitude ≤ 1) and independent of $Q$, so the Tow-Thomas biquad can realize high-$Q$ poles reliably. A 1% rise in $R_2$ raises $Q$ by 1%.

## Check yourself

The answer's key points as multiple-choice questions, with the correct option and why.

1. What does S^y_x = (x/y)(dy/dx) express?
   A. Absolute change in y per unit x
   B. Fractional change in y per fractional change in x
   C. Ratio of y to x
   D. Change in x per change in y
   Answer: B. Sensitivity is per-unit change in y per per-unit change in x, so Dy/y = S Dx/x. (Key point: Definition of sensitivity)

2. Why is sensitivity analysis important in filter design?
   A. It removes the need for components
   B. It shows how tolerance and drift of elements shift wo, Q and gain, and lets low-sensitivity designs be chosen
   C. It increases filter order
   D. It sets the supply voltage
   Answer: B. Real elements have tolerance and drift; sensitivity tells which circuit and which elements need tight tolerance. (Key point: Importance)

3. What is Q of the Tow-Thomas low-pass biquad?
   A. R2 sqrt(C1/(R1 R4 C2))
   B. R3 sqrt(C1/(R1 R4 C2))
   C. R2 sqrt(C2/(R1 R4 C1))
   D. sqrt(R1 R4 C1 C2)/R2
   Answer: A. Q = wo R2 C1 with wo = 1/sqrt(R1R4C1C2), giving R2 sqrt(C1/(R1R4C2)). (Key point: Q expression)

4. Which set is correct for the Q sensitivities?
   A. S to R2 = 1/2, to R1 = -1, to C1 = 1/2
   B. S to R2 = 1, to C1 = 1/2, to R1, R4, C2 = -1/2, to R3 = 0
   C. S to R2 = 1, to C1 = -1/2, to R1 = 1/2
   D. S to R3 = 1, to R2 = 0
   Answer: B. Exponents in Q = R2 C1^(1/2) R1^(-1/2) R4^(-1/2) C2^(-1/2) are the sensitivities; R3 does not appear. (Key point: Q sensitivities)

## Related in Filter Design

- [Sensitivity analysis of Tow-Thomas LPF](https://www.bctengineer.com/question.md?key=semester_5%2Ffilter_design%3Asensitivity-tow-thomas-lowpass) — Filter Design, chapter 7, asked 8×
- [Sensitivity of ωo and Q in Tow-Thomas LPF](https://www.bctengineer.com/question.md?key=semester_5%2Ffilter_design%3Asensitivity-wo-q-tow-thomas) — Filter Design, chapter 7, asked 3×
- [Sensitivity of -3; Q of Tow-Thomas LPF](https://www.bctengineer.com/question.md?key=semester_5%2Ffilter_design%3Asensitivity-minus-3-q-tow-thomas) — Filter Design, chapter 7, asked 2×
- [Sensitivity of 0.1; ωo of Tow-Thomas LPF](https://www.bctengineer.com/question.md?key=semester_5%2Ffilter_design%3Asensitivity-value-0-1-tow-thomas) — Filter Design, chapter 7, asked 4×
- [Sensitivity of ωo in Tow-Thomas LPF](https://www.bctengineer.com/question.md?key=semester_5%2Ffilter_design%3Asensitivity-wo-tow-thomas) — Filter Design, chapter 7
- [Tow-Thomas high pass derivation; LPF design](https://www.bctengineer.com/question.md?key=semester_5%2Ffilter_design%3Atow-thomas-highpass-derive-lpf-design) — Filter Design, chapter 6, asked 3×

## Related in other subjects

- [Low-pass FIR window design, αs = 40 dB](https://www.bctengineer.com/question.md?key=semester_7%2Fdigital_signal_analysis_and_processing%3Afir-lowpass-window-0-3-0-5-40) — Digital Signal Analysis and Processing, chapter 5, asked 2×
- [RC low pass filter operation](https://www.bctengineer.com/question.md?key=semester_2%2Fbasic_electronics_engineering%3Arc-low-pass-filter) — Basic Electronics Engineering, chapter 1, asked 5×
- [Impulse response of ideal low pass filter](https://www.bctengineer.com/question.md?key=semester_4%2Fsignals_and_systems%3Aideal-lpf-impulse-response) — Signals and Systems, chapter 5, asked 5×
- [Hanning window low-pass FIR design](https://www.bctengineer.com/question.md?key=semester_7%2Fdigital_signal_analysis_and_processing%3Afir-hanning-window-design) — Digital Signal Analysis and Processing, chapter 5
