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Linear response function
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Linear response function : ウィキペディア英語版
Linear response function
A linear response function describes the input-output relationship of a signal transducer such as a radio turning electromagnetic waves into music or a neuron turning synaptic input into a response. Because of its many applications in information theory, physics and engineering there exist alternative names for specific linear response functions such as susceptibility, impulse response or impedance, see also transfer function. The concept of a Green's function or fundamental solution of an ordinary differential equation is closely related.
==Mathematical definition==

Denote the input of a system by h(t) (e.g. a force), and the response of the system by x(t) (e.g. a position). Generally, the value of x(t) will depend not only on the present value of h(t), but also on past values. Approximately x(t) is a weighted sum of the previous values of h(t'), with the weights given by the linear response function \chi(t-t'):
:x(t)=\int_^t dt'\, \chi(t-t')h(t')+\dots\,.
The explicit term on the r.h.s. is the leading order term of a Volterra expansion for the full nonlinear response. If the system in question is highly non-linear, higher order terms in the expansion, denoted by the dots, become important and the signal transducer can not adequately be described just by its linear response function.
The complex-valued Fourier transform \tilde(\omega) of the linear response function is very useful as it describes the output of the system if the input is a sine wave h(t)=h_0\cdot \sin(\omega t) with frequency \omega. The output reads
:x(t)=|\tilde(\omega)|\cdot h_0 \cdot\sin(\omega t+\arg\tilde(\omega))\,,
with amplitude gain |\tilde(\omega)| and phase shift \arg\tilde(\omega).

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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