Time invariant Green's function (inpulse response)

In summary, the conversation discusses the response of a system to an input of delta located at different times. If the system is time invariant, the impulse response is only a function of t-t0, while in a time variant system, it is a function of both t and t-t0. However, once it is proven that the system is time invariant, t0 can be dropped from the expression and the impulse response can simply be stated as h(t).
  • #1
fisico30
374
0
Hello Forum,

given a input=delta located at time t=0, the system will respond generating a function h(t).

If the delta is instead located at t=t0 (delayed by tau), the system will respond with a function g(t)=h(t-tau), just a shifted version of the response for the delta a t=0...

If this is the case, the system is time invariant and the impulse response is said to be only a function of t-t0...: h(t-t0)

If the system was time variant instead, it will be a function h(t,t-t0), that is, a function of both time t and t-t0...it is as if it was a function of two variables...

I am not clear on this: isn't the function h, the impulse response, a function of time t also in the case of time invariant system?
To be time invariant, does the variable t need to always occur with t0 in a subtraction?

thanks,
Fisico30
 
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  • #2
My understanding is that once you have proved that the system is time invariant, i.e. h(t) = h(t-t0), you can safely drop t0 in the expression and simply state the impulse response is h(t).
 
  • #3


I can provide clarification on the concept of time invariance in the context of Green's function or impulse response.

Firstly, a time-invariant system is one in which the response to a given input does not change over time. This means that for a given input, the output will always be the same regardless of when the input is applied. This is in contrast to a time-variant system, where the response may change over time.

In the case of Green's function or impulse response, the function h(t) represents the output of the system for a delta input at time t=0. This means that the function h(t) is only a function of time t, as it is solely dependent on the input at t=0.

If the input is delayed by a time tau, the output will be a function g(t)=h(t-tau), which is simply a shifted version of h(t) by tau. This shows that the response of the system is still only dependent on the time difference between the input and the output, and not on the absolute time. Therefore, the impulse response or Green's function is still only a function of t-tau, and not t-tau-t0.

In the case of a time-variant system, the function h(t) would not only depend on the input at t=0, but also on the absolute time t. This means that the response would be a function of both t and t-tau, as you mentioned.

In summary, the time invariance of a system is determined by the dependence of the response on time. For a time-invariant system, the response is only dependent on the time difference between the input and output, while for a time-variant system, the response is dependent on both the absolute time and the time difference.
 

What is a time invariant Green's function (inpulse response)?

A time invariant Green's function, also known as an impulse response, is a mathematical tool used in the field of signal processing to describe the response of a system to an impulse input. It represents the relationship between the input and output of a system over time.

How is a time invariant Green's function (inpulse response) used in signal processing?

Time invariant Green's functions are used to analyze and understand the behavior of a system. They can be used to predict the output of a system for any given input, and can also be used to design filters and other signal processing techniques.

What are some applications of time invariant Green's functions (inpulse response)?

Time invariant Green's functions are used in a wide range of fields, including electrical engineering, physics, and economics. They are particularly useful in systems with linear, time-invariant behavior, such as electronic circuits, mechanical systems, and acoustic systems.

How is a time invariant Green's function (inpulse response) different from a transfer function?

A transfer function is a mathematical representation of a system's output in response to a specific input, while a time invariant Green's function describes the relationship between the input and output of a system over time. In other words, a transfer function is a single snapshot of a system's behavior, while a Green's function provides a more complete picture over time.

Are there any limitations to using a time invariant Green's function (inpulse response)?

While time invariant Green's functions are a powerful tool in signal processing, they do have limitations. They are only applicable to linear, time-invariant systems, and may not accurately represent the behavior of a system under non-linear or time-varying conditions. Additionally, they require knowledge of the system's initial conditions and can be difficult to interpret for complex systems.

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