# 3.13: Transfer Functions

- Page ID
- 1754

Learning Objectives

- Introduction of transfer function(frequency response).

*Fig. 3.13.1 A Simple RC circuit*

The ratio of the output and input amplitudes for the Fig. 3.13.1, known as the **transfer function** or the **frequency response**, is given by

\[\frac{V_{out}}{V_{in}}=H(f)\]

\[\frac{V_{out}}{V_{in}}=\frac{1}{i2\pi fRC+1}\]

Implicit in using the transfer function is that the input is a complex exponential, and the output is also a complex exponential having the same frequency. The transfer function reveals how the circuit modifies the input amplitude in creating the output amplitude. Thus, the transfer function **completely** describes how the circuit processes the input complex exponential to produce the output complex exponential. The circuit's function is thus summarized by the transfer function. In fact, circuits are often designed to meet transfer function specifications. Because transfer functions are complex-valued, frequency-dependent quantities, we can better appreciate a circuit's function by examining the magnitude and phase of its transfer function (See Fig. 3.13.2 below)

*Fig. 3.13.2a*

\[\left | H(f) \right |=\frac{1}{\sqrt{(2\pi fRC)^{2}+1}}\]

*Fig. 3.13.2b*

\[\angle (H(f))=-\arctan (2\pi fRC)\]

*Fig. 3.13.2 Magnitude and phase of the transfer function of the RC circuit when RC=1*

This transfer function has many important properties and provides **all** the insights needed to determine how the circuit functions. First of all, note that we can compute the frequency response for both positive and negative frequencies. Recall that sinusoids consist of the sum of two complex exponentials, one having the negative frequency of the other. We will consider how the circuit acts on a sinusoid soon. Do note that the magnitude has **even symmetry**: The negative frequency portion is a mirror image of the positive frequency portion:

\[\left | H(-f) \right |=\left | H(f) \right |\]

The phase has **odd symmetry**:

\[\angle H(-f)= -\angle H(f)\]

These properties of this specific example apply for **all** transfer functions associated with circuits. Consequently, we don't need to plot the negative frequency component; we know what it is from the positive frequency part.

The magnitude equals \[\frac{1}{\sqrt{2}}\] of its maximum gain (1 at **f=0**) when **2π****fRC****=1** (the two terms in the denominator of the magnitude are equal). The frequency

\[f_{c}=\frac{1}{2\pi RC}\]

defines the boundary between two operating ranges.

- For frequencies below this frequency, the circuit does not much alter the amplitude of the complex exponential source.
- For frequencies greater than the circuit strongly attenuates the amplitude. Thus, when the source frequency is in this range, the circuit's output has a much smaller amplitude than that of the source.

For these reasons, this frequency is known as the **cutoff frequency**. In this circuit the cutoff frequency depends **only** on the product of the resistance and the capacitance. Thus, a cutoff frequency of 1 kHz occurs when:

\[\frac{1}{2\pi RC}=10^{3}\]

or

\[RC=\frac{10^{-3}}{2\pi }=1.59\times 10^{4}\]

Thus resistance-capacitance combinations of 1.59 kΩ and 100 nF or 10 Ω and 1.59 μF result in the **same** cutoff frequency.

The phase shift caused by the circuit at the cutoff frequency precisely equals **-π/4**. Thus, below the cutoff frequency, phase is little affected, but at higher frequencies, the phase shift caused by the circuit becomes **-π/2**. This phase shift corresponds to the difference between a cosine and a sine.

We can use the transfer function to find the output when the input voltage is a sinusoid for two reasons. First of all, a sinusoid is the sum of two complex exponentials, each having a frequency equal to the negative of the other. Secondly, because the circuit is linear, superposition applies. If the source is a sine wave, we know that

\[v_{in}(t)=A\sin (2\pi ft)\]

\[v_{in}(t)=\frac{A}{2i}\left ( e^{i2\pi ft}-e^{-(i2\pi ft)} \right )\]

Since the input is the sum of two complex exponentials, we know that the output is also a sum of two similar complex exponentials, the only difference being that the complex amplitude of each is multiplied by the transfer function evaluated at each exponential's frequency.

\[v_{out}(t)=\frac{A}{2i}H(f)e^{i2\pi ft}-\frac{A}{2i}H(-f)e^{-(i2\pi ft)}\]

As noted earlier, the transfer function is most conveniently expressed in polar form:

\[H(f)=\left | H(f) \right |e^{i\angle H(f)}\]

Furthermore,

\[\left | H(-f) \right |=\left | H(f) \right |\]

(even symmetry of the magnitude) and

\[\angle H(-f)= -\angle H(f)\]

(odd symmetry of the phase). The output voltage expression simplifies to

\[v_{out}(t)=\frac{A}{2i}\left |H(f) \right |e^{i2\pi ft+\angle H(f)}-\frac{A}{2i}\left | H(f) \right |e^{(-(i2\pi ft))-\angle H(f)}\]

\[v_{out}(t)=A\left | H(f) \right |\sin \left ( 2\pi ft+\angle (H(f)) \right )\]

**The circuit's output to a sinusoidal input is also a sinusoid, having a gain equal to the magnitude of the circuit's transfer function evaluated at the source frequency and a phase equal to the phase of the transfer function at the source frequency**. It will turn out that this input-output relation description applies to any linear circuit having a sinusoidal source.

Exercise \(\PageIndex{1}\)

This input-output property is a special case of a more general result. Show that if the source can be written as the imaginary part of a complex exponential \[v_{in}(t)=\Im (Ve^{i2\pi ft})\] the output is given by \[v_{out}(t)=\Im (VH(f)e^{i2\pi ft})\] Show that a similar result also holds for the real part.

**Solution**

The key notion is writing the imaginary part as the difference between a complex exponential and its complex conjugate:

\[\Im (Ve^{i2\pi ft})=\frac{Ve^{i2\pi ft}-\overline{V}e^{-(i2\pi ft)}}{2i}\]

The response to \[Ve^{i2\pi ft}\] is \[VH(f)e^{i2\pi ft}\]

which means the response to \[\overline{V}e^{-(i2\pi ft)}\] is \[\overline{V}H(-f)e^{-(i2\pi ft)}\]

As \[H(-f)=\overline{H(f)}\] the Superposition Principle says that the output to the imaginary part is \[\Im \left ( VH(f)e^{i2\pi ft} \right )\]

The same argument holds for the real part:

\[\Re (Ve^{i2\pi ft})\rightarrow \Re \left ( VH(f)e^{i2\pi ft} \right )\]

The notion of impedance arises when we assume the sources are complex exponentials. This assumption may seem restrictive; what would we do if the source were a unit step? When we use impedances to find the transfer function between the source and the output variable, we can derive from it the differential equation that relates input and output. The differential equation applies no matter what the source may be. As we have argued, it is far simpler to use impedances to find the differential equation (because we can use series and parallel combination rules) than any other method. In this sense, we have not lost anything by temporarily pretending the source is a complex exponential.

In fact we can also solve the differential equation using impedances! Thus, despite the apparent restrictiveness of impedances, assuming complex exponential sources is actually quite general.

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