Linear time-invariant circuits are important because they can process
analog signals without introducing
intermodulation distortion. This means that separate frequencies in the signal stay separate and do not mix, creating new frequencies (
heterodynes). They are also easier to understand and analyze. Because they obey the
superposition principle, linear circuits are governed by
linear differential equations, and can be analyzed with powerful mathematical
frequency domain techniques, including
Fourier analysis and the
Laplace transform. These also give an intuitive understanding of the qualitative behavior of the circuit, characterizing it using terms such as
gain,
phase shift,
resonant frequency,
bandwidth,
Q factor,
poles, and
zeros. The analysis of a linear circuit can often be done by hand using a
scientific calculator. In contrast,
nonlinear circuits usually do not have closed form solutions. They must be analyzed using approximate
numerical methods by
electronic circuit simulation computer programs such as
SPICE, if accurate results are desired. The behavior of such
linear circuit elements as resistors, capacitors, and inductors can be specified by a single number (resistance, capacitance, inductance, respectively). In contrast, a
nonlinear element's behavior is specified by its detailed
transfer function, which may be given by a curved line on a graph. So specifying the characteristics of a nonlinear circuit requires more information than is needed for a linear circuit. "Linear" circuits and systems form a separate category within electronic manufacturing. Manufacturers of transistors and
integrated circuits often divide their product lines into 'linear' and 'digital' lines. "Linear" here means "
analog"; the linear line includes integrated circuits designed to process signals linearly, such as
op-amps,
audio amplifiers, and
active filters, as well as a variety of
signal processing circuits that implement nonlinear analog functions such as logarithmic amplifiers,
analog multipliers, and peak detectors. ==Small signal approximation==