Are Instantaneous and Causal Systems the Same Concept?

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In summary, the conversation is discussing the difference between memoryless and causal systems. A causal system's output at a given time depends on only the present and/or past values of the input, while a memoryless system's output depends only on the present input. There may be some confusion between these two concepts, as well as their relationship to the real-part and imaginary-part sufficiency theorem.
  • #1
Shackman
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Just a quick concept check. It seems to me that all instantaneous (memoryless) systems are causal because the output of a memoryless system at an instant t depends solely on the input at an instant t, and causal systems are systems whose output depends on past and present inputs only. Is this correct or are my ideas of memoryless and causal systems incorrect?
 
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  • #2
You might want to add the concept of such theorems as the real-part (or imaginary-part) sufficiency theorem, in essence stating that the real and imaginary parts (like in electrical circuits) are related by the Kramers-Kronig causality (dispersion) equations. Knowing either the real (or imaginary) impedance of a circuit at all frequencies completely determines the other.
 
  • #3
I think there are some confusion in the concept of a Causal system and a Memoryless system... the two are basically different.

A system is called Causal if its output y(t) at an arbitrary time t = to depends on only the input x(t) for t =< to. That is, the output of a Causal system at the present time depends only on the present and/or past values of the input, not on its future values. (Hwei P. Hsu, Signals and Systems, Schaum's Outlines)

The memoryless is different... its output depends on the present input not on the present and/or past values.
 

1. What is an instantaneous, causal system?

An instantaneous, causal system is a system in which the output at any given time is only dependent on the current and past inputs. It does not take into account any future inputs or states.

2. How is an instantaneous, causal system different from a non-causal system?

An instantaneous, causal system only relies on past and current inputs, while a non-causal system may also take into account future inputs or states. Non-causal systems are often used in predictive modeling or simulations.

3. What are some examples of instantaneous, causal systems?

Some examples of instantaneous, causal systems include electrical circuits, digital filters, and control systems. These types of systems are commonly used in engineering and science fields.

4. How are instantaneous, causal systems used in signal processing?

In signal processing, instantaneous, causal systems are used to analyze and modify signals in real time. This is important for applications such as audio and image processing.

5. What are the advantages of using instantaneous, causal systems?

Instantaneous, causal systems have the advantage of being simpler to analyze and implement compared to non-causal systems. They also have a faster response time, making them suitable for real-time applications.

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