Difficulty: Easy
Correct Answer: geometric average of the critical frequencies
Explanation:
Introduction:
In narrow-band band-pass design and analysis, relating the center frequency to the cutoff points is essential for tuning, measuring, and specifying filters. The correct relationship uses a geometric mean, not an arithmetic mean, reflecting how frequency responses scale multiplicatively.
Given Data / Assumptions:
Concept / Approach:
The center (resonant) frequency of a band-pass filter satisfies f0 = sqrt(f1 * f2). This arises from the symmetry of logarithmic frequency scaling and is consistent with constant-Q filter behavior where the passband is centered on a logarithmic axis.
Step-by-Step Solution:
Define bandwidth: BW = f2 − f1 and quality factor Q = f0 / BW.For many common band-pass implementations, the midband gain occurs near f0 where the reactive components balance.Using filter theory, the −3 dB points satisfy f0^2 = f1 * f2 ⇒ f0 = sqrt(f1 * f2).Therefore, the correct relationship is the geometric mean of the cutoff frequencies.
Verification / Alternative check:
On a Bode magnitude plot versus log frequency, f0 lies midway between f1 and f2 on the log axis, which mathematically corresponds to the geometric mean. Measured data from RLC band-pass circuits confirms the identity within approximation errors for real components.
Why Other Options Are Wrong:
Common Pitfalls:
Final Answer:
geometric average of the critical frequencies
Discussion & Comments