Overview

Hysteresis is a general phenomenon in which a system's output depends not only on its current input but also on the sequence of past inputs that led to the present state. In practical terms, the same input value can produce different outputs depending on whether the input is increasing or decreasing, or on what values the system has experienced earlier. For a concise technical definition see related resources. The dependence on history arises because an internal state variable or configuration stores information about previous conditions.

Mechanisms and characteristics

Several mechanisms produce hysteresis. A common cause is a physical lag between cause and effect: when changes are rapid the system cannot respond immediately, producing rate-dependent hysteresis; for a discussion of input and output relations see input–output examples. In other cases the system has multiple stable states and a portion of the input must be reversed beyond a threshold to revert the state. The system itself or its internal variable(s) play the role of a memory; more background on systems and internal states is available at system concepts and input influence.

Common examples

  • Magnetic materials: Ferromagnets show a characteristic hysteresis loop between applied magnetic field and magnetization; such loops illustrate remanence and coercivity and are widely used in engineering.
  • Ferroelectrics and dielectrics: Electric polarization vs. applied field often displays hysteresis with retained polarization after the field is removed.
  • Mechanical systems: Rubber-like materials and shape-memory alloys have stress–strain hysteresis: loading and unloading take different paths. See a simple example like a rubber band and general deformation phenomena.
  • Control devices: Thermostats use hysteresis to avoid rapid switching (short-cycling) around a setpoint; many practical thermostat designs are discussed at thermostat design.

History and modeling

The concept of hysteresis emerged in studies of magnetism in the late 19th century and was later generalized to many domains. Engineers and scientists model hysteresis with different formalisms: simple relay or dead-zone models for control applications, Preisach-type representations for rate-independent hysteresis in materials, and differential approaches (for example Bouc–Wen style models) when rate dependence matters. The choice of model depends on whether the dominant effect is memory of past extrema, a time lag, or irreversible internal changes.

Practical importance and distinctions

Hysteresis has several practical consequences. In magnetic cores it produces energy loss per cycle equal to the area of the hysteresis loop; in control systems it provides intentional stability by preventing chattering. Important distinctions include rate-dependent vs rate-independent hysteresis, reversible vs irreversible loops, and the difference between minor and major loops when inputs do not traverse full ranges. For readable introductions to the concept and its applications see lag effects, memory effects, and broader input and system discussions.

Examples of broader contexts

Beyond physics and engineering, hysteresis-like behavior appears in ecology (population responses to environmental change), economics (path-dependent outcomes), and biology (gene regulatory switches), where past conditions influence present responses. For accessible overviews consult general introductions and domain-specific surveys at general overview and specialized entries such as technical notes. Understanding hysteresis helps predict, control, and exploit systems that do not respond solely to current inputs but carry memory of their past.