Negative feedback feeds part of an amplifier’s output back to its input in the opposing sense, so the fed-back signal subtracts from the input. You give up raw gain and get back predictability, linearity, bandwidth, and insensitivity to device parameters, almost always a winning trade. One of the recurring structural patterns of the whole course (the book calls it Pattern 3), and it culminates in the Operational amplifier.

The core idea

A bare transistor amplifier has huge but untrustworthy gain. It depends on , , , , temperature, and the manufacturing process, all of which spread widely. Negative feedback samples the output, scales it, and subtracts it from the input. The amplifier now works to cancel its own error: anything that would make the output drift (a hot day, a high- part) produces a counteracting change at the input. The closed-loop behaviour ends up governed mostly by the stable feedback network (resistors) rather than by the wobbly device.

Concretely, if the raw (“open-loop”) gain is and a fraction of the output is subtracted from the input, the closed-loop gain is

When the loop gain is large, , set by the feedback network alone, independent of . Trade away the excess (and unreliable) gain to get a precise, stable one.

Where it shows up in this course

Not one circuit but a principle that reappears everywhere:

Every one of these is the same move: sacrifice excess gain to make the circuit depend on stable passives instead of unreliable active-device parameters. Spot the pattern and you analyse all of them the same way.