

Positive feedback (exacerbating feedback,self-reinforcing feedback) is a process that occurs in afeedback loop where the outcome of a process reinforces the inciting process to build momentum. As such, these forces can exacerbate the effects of a small disturbance. That is, the effects of a perturbation on a system include an increase in the magnitude of the perturbation.[1] That is,A produces more ofB which in turn produces more ofA.[2] In contrast, a system in which the results of a change act to reduce or counteract it hasnegative feedback.[1][3] Both concepts play an important role in science and engineering, including biology, chemistry, andcybernetics.
Mathematically, positive feedback is defined as a positiveloop gain around a closed loop of cause and effect.[1][3]That is, positive feedback isin phase with the input, in the sense that it adds to make the input larger.[4][5]Positive feedback tends to causesystem instability. When the loop gain is positive and above 1, there will typically beexponential growth, increasingoscillations,chaotic behavior or other divergences fromequilibrium.[3] System parameters will typically accelerate towards extreme values, which may damage or destroy the system, or may end with the systemlatched into a new stable state. Positive feedback may be controlled by signals in the system beingfiltered,damped, orlimited, or it can be cancelled or reduced by adding negative feedback.
Positive feedback is used indigital electronics to force voltages away from intermediate voltages into '0' and '1' states. On the other hand,thermal runaway is a type of positive feedback that can destroysemiconductor junctions. Positive feedback inchemical reactions can increase the rate of reactions, and in some cases can lead toexplosions. Positive feedback in mechanical design causestipping-point, or over-centre, mechanisms to snap into position, for example inswitches andlocking pliers. Out of control, it can causebridges to collapse. Positive feedback in economic systems can causeboom-then-bust cycles. A familiar example of positive feedback is the loud squealing or howling sound produced byaudio feedback inpublic address systems: the microphone picks up sound from its own loudspeakers, amplifies it, and sends it through the speakers again.

Positive feedback enhances or amplifies an effect by it having an influence on the process which gave rise to it. For example, when part of an electronic output signal returns to the input, and is in phase with it, the systemgain is increased.[6] The feedback from the outcome to the originating process can be direct, or it can be via other state variables.[3] Such systems can give rich qualitative behaviors, but whether the feedback is instantaneously positive or negative in sign has an extremely important influence on the results.[3] Positive feedback reinforces and negative feedback moderates the original process.Positive andnegative in this sense refer toloop gains greater than or less than zero, and do not imply anyvalue judgements as to the desirability of the outcomes or effects.[7] A key feature of positive feedback is thus that small disturbances get bigger. When a change occurs in a system, positive feedback causes further change, in the same direction.

A simple feedback loop is shown in the diagram. If the loop gain AB is positive, then a condition ofpositive orregenerative feedback exists.
If the functions A and B are linear and AB is smaller than unity, then the overall system gain from the input to output is finite but can be very large as AB approaches unity.[8] In that case, it can be shown that the overall or loop gain from input to output is:
When AB > 1, the system is unstable, so does not have a well-defined gain; the gain may be called infinite.
Thus depending on the feedback, state changes can be convergent, or divergent. The result of positive feedback is toaugment changes, so that small perturbations may result in big changes.
A system in equilibrium in which there is positive feedback to any change from its current state may be unstable, in which case the system is said to be in anunstable equilibrium. The magnitude of the forces that act to move such a system away from its equilibrium is anincreasing function of thedistance of the state from the equilibrium.
Positive feedback does not necessarily imply instability of an equilibrium, for example stableon andoff states may exist in positive-feedback architectures.[9]


In the real world, positive feedback loops typically do not cause ever-increasing growth but are modified by limiting effects of some sort. According toDonella Meadows:
Hysteresis, in which the starting point affects where the system ends up, can be generated by positive feedback. When the gain of the feedback loop is above 1, then the output moves away from the input: if it is above the input, then it moves towards the nearest positive limit, while if it is below the input then it moves towards the nearest negative limit.
Once it reaches the limit, it will be stable. However, if the input goes past the limit,[clarification needed] then the feedback will change sign[dubious –discuss] and the output will move in the opposite direction until it hits the opposite limit. The system therefore showsbistable behaviour.
The termspositive andnegative were first applied to feedback beforeWorld War II. The idea of positive feedback was already current in the 1920s with the introduction of theregenerative circuit.[11]
Friis & Jensen (1924) described regeneration in a set of electronic amplifiers as a case wherethe "feed-back" action is positive in contrast to negative feed-back action, which they mention only in passing.[12]Harold Stephen Black's classic 1934 paper first details the use of negative feedback in electronic amplifiers. According to Black:
According toMindell (2002) confusion in the terms arose shortly after this:
These confusions, along with the everyday associations of positive withgood and negative withbad, have led many systems theorists to propose alternative terms. For example, Donella Meadows prefers the termsreinforcing andbalancing feedbacks.[14]
Regenerative circuits were invented and patented in 1914[15] for the amplification and reception of very weak radio signals. Carefully controlled positive feedback around a singletransistor amplifier can multiply itsgain by 1,000 or more.[16] Therefore, a signal can be amplified 20,000 or even 100,000 times in one stage, that would normally have a gain of only 20 to 50. The problem with regenerative amplifiers working at these very high gains is that they easily become unstable and start to oscillate. The radio operator has to be prepared to tweak the amount of feedback fairly continuously for good reception. Modern radio receivers use thesuperheterodyne design, with many more amplification stages, but much more stable operation and no positive feedback.
The oscillation that can break out in a regenerative radio circuit is used inelectronic oscillators. By the use oftuned circuits or apiezoelectriccrystal (commonlyquartz), the signal that is amplified by the positive feedback remains linear andsinusoidal. There are several designs for suchharmonic oscillators, including theArmstrong oscillator,Hartley oscillator,Colpitts oscillator, and theWien bridge oscillator. They all use positive feedback to create oscillations.[17]
Many electronic circuits, especially amplifiers, incorporatenegative feedback. This reduces their gain, but improves their linearity,input impedance,output impedance, andbandwidth, and stabilises all of these parameters, including the loop gain. These parameters also become less dependent on the details of the amplifying device itself, and more dependent on the feedback components, which are less likely to vary with manufacturing tolerance, age and temperature. The difference between positive and negative feedback forAC signals is one ofphase: if the signal is fed back out of phase, the feedback is negative and if it is in phase the feedback is positive. One problem for amplifier designers who use negative feedback is that some of the components of the circuit will introducephase shift in the feedback path. If there is a frequency (usually a high frequency) where the phase shift reaches 180°, then the designer must ensure that the amplifier gain at that frequency is very low (usually bylow-pass filtering). If the loop gain (the product of the amplifier gain and the extent of the positive feedback) at any frequency is greater than one, then the amplifier will oscillate at that frequency (Barkhausen stability criterion). Such oscillations are sometimes calledparasitic oscillations. An amplifier that is stable in one set of conditions can break into parasitic oscillation in another. This may be due to changes in temperature, supply voltage, adjustment of front-panel controls, or even the proximity of a person or other conductive item.
Amplifiers may oscillate gently in ways that are hard to detect without anoscilloscope, or the oscillations may be so extensive that only a very distorted or no required signal at all gets through, or that damage occurs. Low frequency parasitic oscillations have been called 'motorboating' due to the similarity to the sound of a low-revving exhaust note.[18]

Many commondigital electronic circuits employ positive feedback. While normal simple Booleanlogic gates usually rely simply on gain to push digital signal voltages away from intermediate values to the values that are meant to representBoolean '0' and '1', but many more complex gates use feedback. When an input voltage is expected to vary in ananalogue way, but sharp thresholds are required for later digital processing, theSchmitt trigger circuit uses positive feedback to ensure that if the input voltage creeps gently above the threshold, the output is forced smartly and rapidly from one logic state to the other. One of the corollaries of the Schmitt trigger's use of positive feedback is that, should the input voltage move gently down again past the same threshold, the positive feedback will hold the output in the same state with no change. This effect is calledhysteresis: the input voltage has to drop past a different, lower threshold to 'un-latch' the output and reset it to its original digital value. By reducing the extent of the positive feedback, the hysteresis-width can be reduced, but it can not entirely be eradicated. The Schmitt trigger is, to some extent, alatching circuit.[19]


An electronicflip-flop, or "latch", or "bistablemultivibrator", is a circuit that due to high positive feedback is not stable in a balanced or intermediate state. Such a bistable circuit is the basis of onebit of electronicmemory. The flip-flop uses a pair of amplifiers, transistors, or logic gates connected to each other so that positive feedback maintains the state of the circuit in one of two unbalanced stable states after the input signal has been removed until a suitable alternative signal is applied to change the state.[20] Computerrandom access memory (RAM) can be made in this way, with one latching circuit for each bit of memory.[21]
Thermal runaway occurs in electronic systems because some aspect of a circuit is allowed to pass more current when it gets hotter, then the hotter it gets, the more current it passes, which heats it some more and so it passes yet more current. The effects are usually catastrophic for the device in question. If devices have to be used near to their maximum power-handling capacity, and thermal runaway is possible or likely under certain conditions, improvements can usually be achieved by careful design.[22]

Audio andvideo systems can demonstrate positive feedback. If amicrophone picks up the amplified sound output ofloudspeakers in the same circuit, then howling and screeching sounds ofaudio feedback (at up to the maximum power capacity of the amplifier) will be heard, as random noise is re-amplified by positive feedback andfiltered by the characteristics of the audio system and the room.
Audio feedback (also known as acoustic feedback, simply as feedback, or the Larsen effect) is a special kind of positive feedback which occurs when a sound loop exists between an audio input (for example, amicrophone orguitar pickup) and an audio output (for example, a loudly-amplifiedloudspeaker). In this example, a signal received by the microphone isamplified and passed out of the loudspeaker. The sound from the loudspeaker can then be received by the microphone again, amplified further, and then passed out through the loudspeaker again. Thefrequency of the resulting sound is determined by resonance frequencies in the microphone, amplifier, and loudspeaker, the acoustics of the room, the directional pick-up and emission patterns of the microphone and loudspeaker, and the distance between them. For smallPA systems the sound is readily recognized as a loud squeal or screech.
Feedback is almost always considered undesirable when it occurs with a singer's or public speaker's microphone at an event using asound reinforcement system orPA system.Audio engineers use various electronic devices, such as equalizers and, since the 1990s, automatic feedback detection devices to prevent these unwanted squeals or screeching sounds, which detract from the audience's enjoyment of the event. On the other hand, since the 1960s,electric guitar players inrock music bands using loudguitar amplifiers anddistortion effects have intentionally created guitar feedback to create a desirable musical effect. "I Feel Fine" by the Beatles marks one of the earliest examples of the use of feedback as a recording effect in popular music. It starts with a single, percussivefeedback note produced by plucking the A string on Lennon's guitar. Artists such as the Kinks and the Who had already used feedback live, but Lennon remained proud of the fact that the Beatles were perhaps the first group to deliberately put it on vinyl. In one of his last interviews, he said, "I defy anybody to find a record—unless it's some old blues record in 1922—that uses feedback that way."[23]
The principles of audio feedback were first discovered by Danish scientistSøren Absalon Larsen. Microphones are not the only transducers subject to this effect.Phone cartridges can do the same, usually in the low-frequency range below about 100 Hz, manifesting as a low rumble.Jimi Hendrix was an innovator in the intentional use of guitar feedback in hisguitar solos to create unique sound effects. He helped develop the controlled and musical use of audio feedback inelectric guitar playing,[24] and laterBrian May was a famous proponent of the technique.[25]

Similarly, if avideo camera is pointed at amonitor screen that is displaying the camera's own signal, then repeating patterns can be formed on the screen by positive feedback. This video feedback effect was used in the opening sequences to the first ten seasons of the television programDoctor Who.
Inelectrical switches, includingbimetallic strip based thermostats, the switch usually has hysteresis in the switching action. In these cases hysteresis is mechanically achieved via positive feedback within a tipping point mechanism. The positive feedback action minimises the length of time arcing occurs for during the switching and also holds the contacts in an open or closed state.[26]

A number of examples of positive feedback systems may be found inphysiology.
In most cases, such feedback loops culminate in counter-signals being released that suppress or break the loop. Childbirth contractions stop when the baby is out of the mother's body. Chemicals break down the blood clot. Lactation stops when the baby no longer nurses.[27]
Positive feedback is a well-studied phenomenon in gene regulation, where it is most often associated withbistability. Positive feedback occurs when a gene activates itself directly or indirectly via a double negative feedback loop. Genetic engineers have constructed and tested simple positive feedback networks in bacteria to demonstrate the concept of bistability.[28] A classic example of positive feedback is thelac operon inE. coli. Positive feedback plays an integral role in cellular differentiation, development, and cancer progression, and therefore, positive feedback in gene regulation can have significant physiological consequences. Random motions inmolecular dynamics coupled with positive feedback can trigger interesting effects, such as create population of phenotypically different cells from the same parent cell.[29] This happens because noise can become amplified by positive feedback. Positive feedback can also occur in other forms ofcell signaling, such as enzyme kinetics or metabolic pathways.[30]
Positive feedback loops have been used to describe aspects of the dynamics of change in biologicalevolution. For example, beginning at the macro level,Alfred J. Lotka (1945) argued that the evolution of the species was most essentially a matter of selection that fed back energy flows to capture more and more energy for use by living systems.[31] At the human level,Richard D. Alexander (1989) proposed that social competition between and within human groups fed back to the selection of intelligence thus constantly producing more and more refined human intelligence.[32]Crespi (2004) discussed several other examples of positive feedback loops in evolution.[33] The analogy ofevolutionary arms races provides further examples of positive feedback in biological systems.[34]

It has been shown that changes inbiodiversity through thePhanerozoic correlate much better with hyperbolic model (widely used indemography andmacrosociology) than withexponential andlogistic models (traditionally used inpopulation biology and extensively applied tofossilbiodiversity as well). The latter models imply that changes in diversity are guided by first-order positive feedback (more ancestors, more descendants) or anegative feedback arising from resource limitation. The hyperbolic model implies a second-order positive feedback. The hyperbolic pattern of theworld population growth has been demonstrated (see below) to arise from second-order positive feedback between the population size and the rate oftechnological growth. The hyperbolic character of biodiversity growth can be similarly accounted for by a positive feedback between the diversity and community structure complexity. It has been suggested that the similarity between the curves ofbiodiversity and human population probably comes from the fact that both are derived from the interference of the hyperbolic trend (produced by the positive feedback) with cyclical and stochastic dynamics.[35][36]
Acytokine storm, orhypercytokinemia is a potentially fatal immune reaction consisting of a positive feedback loop betweencytokines andimmune cells, with highly elevated levels of various cytokines.[37] In normal immune function, positive feedback loops can be utilized to enhance the action of B lymphocytes. When a B cell binds its antibodies to an antigen and becomes activated, it begins releasing antibodies and secreting a complement protein called C3. Both C3 and a B cell's antibodies can bind to a pathogen, and when a B cell has its antibodies bind to a pathogen with C3, it speeds up that B cell's secretion of more antibodies and more C3, thus creating a positive feedback loop.[38]
Apoptosis is acaspase-mediated process of cellular death, whose aim is the removal of long-lived or damaged cells. A failure of this process has been implicated in prominent conditions such ascancer orParkinson's disease. The very core of the apoptotic process is the auto-activation of caspases, which may be modelled via a positive-feedback loop. This positive feedback exerts an auto-activation of theeffector caspase by means of intermediate caspases. When isolated from the rest of apoptotic pathway, this positive feedback presents only one stable steady state, regardless of the number of intermediate activation steps of the effector caspase.[9] When this core process is complemented with inhibitors and enhancers of caspases effects, this process presents bistability, thereby modelling the alive and dying states of a cell.[39]
Winner (1996) described gifted children as driven by positive feedback loops involving setting their own learning course, this feeding back satisfaction, thus further setting their learning goals to higher levels and so on.[40] Winner termed this positive feedback loop as arage to master. Vandervert (2009a, 2009b) proposed that thechild prodigy can be explained in terms of a positive feedback loop between the output of thinking/performing inworking memory, which then is fed to thecerebellum where it is streamlined, and then fed back to working memory thus steadily increasing the quantitative and qualitative output of working memory.[41][42] Vandervert also argued that this working memory/cerebellar positive feedback loop was responsible forlanguage evolution in working memory.
Product recommendations and information about past purchases have been shown to influence consumers' choices significantly whether it is for music, movie, book, technological, and other type of products. Social influence often induces a rich-get-richer phenomenon (Matthew effect) where popular products tend to become even more popular.[43]
According to the theory ofreflexivity advanced byGeorge Soros, price changes are driven by a positive feedback process whereby investors' expectations are influenced by price movements so their behaviour acts to reinforce movement in that direction until it becomes unsustainable, whereupon the feedback drives prices in the opposite direction.[44]
Programs such asFacebook andTwitter depend on positive feedback to create interest in topics and drive the take-up of the media.[45][46]In the age of smartphones and social media, the feedback loop has created a craze for virtual validation in the form of likes, shares, and FOMO (fear of missing out).[47]This is intensified by the use of bots which are designed to respond to particular words or themes and transmit posts more widely.[48]
What is called negative feedback in social media should often be regarded as positive feedback in this context. Outrageous statements and negative comments often produce much more feedback than positive comments.
Systemic risk is the risk that an amplification or leverage or positive feedback process presents to a system. This is usually unknown, and under certain conditions, this process can amplify exponentially and rapidly lead to destructive orchaotic behaviour. APonzi scheme is a good example of a positive-feedback system: funds from new investors are used to pay out unusually high returns, which in turn attract more new investors, causing rapid growth toward collapse.W. Brian Arthur has also studied and written on positive feedback in the economy (e.g. W. Brian Arthur, 1990).[49]Hyman Minsky proposed a theory that certain credit expansion practices could make a market economy into "a deviation amplifying system" that could suddenly collapse,[50] sometimes called aMinsky moment.
Simple systems that clearly separate the inputs from the outputs are not prone tosystemic risk. This risk is more likely as the complexity of the system increases because it becomes more difficult to see or analyze all the possible combinations of variables in the system even under careful stress testing conditions. The more efficient a complex system is, the more likely it is to be prone to systemic risks because it takes only a small amount of deviation to disrupt the system. Therefore, well-designed complex systems generally have built-in features to avoid this condition, such as a small amount of friction, or resistance, or inertia, or time delay to decouple the outputs from the inputs within the system. These factors amount to an inefficiency, but they are necessary to avoid instabilities.
The2010 Flash Crash incident was blamed on the practice ofhigh-frequency trading (HFT),[51] although whether HFT really increases systemic risk remains controversial.[citation needed]
Agriculture and human population can be considered to be in a positive feedback mode,[52] which means that one drives the other with increasing intensity. It is suggested that this positive feedback system will end sometime with a catastrophe, as modern agriculture is using up all of the easily available phosphate and is resorting to highly efficient monocultures which are more susceptible tosystemic risk.
Technological innovation and human population can be similarly considered, and this has been offered as an explanation for the apparenthyperbolic growth of the human population in the past, instead of a simplerexponential growth.[53]It is proposed that the growth rate is accelerating because of second-order positive feedback between population and technology.[54]: 133–160 Technological growth increases thecarrying capacity of land for people, which leads to a growing population, and this in turn drives further technological growth.[54]: 146 [55]
Gunnar Myrdal described avicious circle of increasing inequalities, and poverty, which is known ascircular cumulative causation.[56]
James Moody, Assistant Professor atOhio State University, states that students whoself-segregate or grow up in segregated environments have "little meaningful exposure to other races because they never form relationships with students of another race...[; as a result,...] they are viewing other racial groups at a social distance, which can bolster stereotypes," which ultimately causes a positive feedback loop in which segregated groups become more prejudiced, polarized, and segregated against each other, similar to that ofpolitical polarization.[57]
Drought intensifies through positive feedback. A lack of rain decreases soil moisture, which kills plants or causes them to release less water throughtranspiration. Both factors limitevapotranspiration, the process by which water vapour is added to the atmosphere from the surface, and add dry dust to the atmosphere, which absorbs water. Less water vapour means both lowdew point temperatures and more efficient daytime heating, decreasing the chances of humidity in the atmosphere leading to cloud formation. Lastly, without clouds, there cannot be rain, and the loop is complete.[58]
Climateforcings may push a climate system in the direction of warming or cooling,[64] for example, increased atmospheric concentrations ofgreenhouse gases cause warming at the surface. Forcings are external to the climate system and feedbacks are internal processes of the system. Some feedback mechanisms act in relative isolation to the rest of the climate system while others are tightly coupled.[65] Forcings, feedbacks and the dynamics of the climate system determine how much and how fast the climate changes. The main positive feedback inglobal warming is the tendency of warming to increase the amount of water vapour in the atmosphere, which in turn leads to further warming.[66] The main negative feedback comes from theStefan–Boltzmann law, the amount of heat radiated from the Earth into space is proportional to the fourth power of the temperature of Earth's surface and atmosphere.
Other examples of positive feedback subsystems in climatology include:
TheIntergovernmental Panel on Climate Change (IPCC)Fourth Assessment Report states that "Anthropogenic warming could lead to some effects that are abrupt or irreversible, depending upon the rate and magnitude of the climate change."[67]
Aself-fulfilling prophecy is a social positive feedback loop between beliefs and behaviour: if enough people believe that something is true, their behaviour can make it true, and observations of their behaviour may in turn increase belief. A classic example is abank run.
Another sociological example of positive feedback is thenetwork effect. When more people are encouraged to join a network this increases the reach of the network therefore the network expands ever more quickly. Aviral video is an example of the network effect in whichlinks to a popular video are shared and redistributed, ensuring that more people see the video and then re-publish the links. This is the basis for many social phenomena, includingPonzi schemes andchain letters. In many cases, population size is the limiting factor to the feedback effect.
In politics, institutions can reinforce norms, which can subsequently be a source of positive feedback. This rationale is frequently utilized to comprehend public policy processes, which may be dissected into a sequence of events. Self-reinforcing processes are understood to be affected by positive feedback mechanisms (e.g., supportive policy constituencies).[68] Conversely, unsuccessful policy processes encounter negative feedback mechanisms (e.g., veto points with veto power).[69]
A comparative illustration of policy feedback can be observed in the economic foreign policies of Brazil and China, particularly in their execution of state capitalism tactics during the 1990s and 2000s.[70] Although both nations initially embraced similar state capitalist ideas, their paths in executing economic policies diverged over time due to distinct incentives. In China, a positive feedback mechanism reinforced previous policies, whereas in Brazil, negative feedback mechanisms compelled the country to abandon state capitalism policies and dynamics.
If a chemical reaction causesthe release of heat, and the reaction itselfhappens faster at higher temperatures, then there is a high likelihood of positive feedback. If the heat produced is not removed from the reactants fast enough,thermal runaway can occur and very quickly lead to a chemicalexplosion.
Many wildlife are hunted for their parts which can be quite valuable. The closer to extinction that targeted species become, the higher the price there is on their parts.[71]
A positive feedback loop is one with an even number of negative influences [around the loop].
* Non-Hysteretic Switches, Memoryless Switches: These systems have no memory, that is, once the input signal is removed, the system returns to its original state. * Hysteretic Switches, Bistability: Bistable systems, in contrast, have memory. That is, when switched to one state or another, these systems remain in that state unless forced to change back. The light switch is a common example of a bistable system from everyday life. All bistable systems are based around some form of positive feedback loop.
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