In complex science and engineering fields, we often hear the concept of "historical dependence", especially in sciences such as physics, chemistry, and biology. A concrete example of this idea is the phenomenon of hysteresis, which describes the dependence of a system's current state on its past experience. This phenomenon reminds us how past actions shape today's reality, whether in materials science or social science, and may affect future developments.
Hysteresis is observed in various phenomena, such as magnetic and electrical materials, where the memory function of a system is due to its hysteresis properties.
In hysteresis, the behavior of the system depends not only on the current input variables but also on its past states. Taking magnetic materials as an example, when an external magnetic field is applied, the atomic structure of the material will be arranged accordingly, forming a magnetization effect. Even after the magnetic field is removed, the material still retains part of the magnetization state. This phenomenon explains how data is stored and retrieved from hard drives.
James Clerk Maxwell conducted early research on hysteresis in mechanical systems, paving the way for later scientists.
Hysteresis can be divided into two forms: rate-dependent and rate-independent. Rate-dependent hysteresis usually produces a phase difference between input and output, for example a pure sine wave input may result in a phase-delayed output signal. In this case, the hysteresis behavior varies with the applied frequency.
On the other hand, rate-independent hysteresis means that once the system history is created, this state will persist even over long periods of time. For example, during the deformation process of certain materials, the previous deformation history will affect the future response, which also makes some systems have tangled memory functions.
In the field of engineering, the concept of hysteresis is widely used. For example, in a control system, we can set a thermostat to avoid frequent switching operations. In addition, an appropriate amount of hysteresis is often added to electronic circuits to prevent noise interference and ensure that the signal is in a stable state. These technologies not only improve the stability of the system, but also improve the reliability of operations.
The use of hysteresis is also important in the design of microcontrollers and their user interfaces, avoiding misoperations and making user interactions smoother.
From a mathematical point of view, hysteresis often involves the modeling of nonlinear systems and often carries computational challenges. Several models, such as the Prysac model and the Booker-Winn model, not only aim to capture general features of hysteresis but also provide phenomenological models of specific phenomena. These models are not only applied in physics, but also extend to economics and other social sciences.
The scientific community began studying the hysteresis phenomenon in the 19th century. That year, British scientist Sir James Alfred Ewing first applied the word "hysteresis" to describe the behavior of magnetic materials. With the deepening of research, many scientists' understanding of the hysteresis phenomenon has gradually deepened and expanded to various disciplines, forming a rich theoretical system.
Today, as technology advances, hysteresis still plays an important role in new materials, intelligent systems, and automation technologies. Does this mean that future technological advances will not only be able to overcome the challenges of lag, but also gain further innovation from it?