How is dx(t)/dt system non-causal

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Discussion Overview

The discussion revolves around the characterization of the system defined by the equation y(t) = dx(t)/dt, specifically its causality and memory properties. Participants explore definitions of causal and memoryless systems, and how these apply to the derivative of a function. The conversation includes inquiries about the integral of x(T)dT and its causal nature, along with requests for literature on the topic.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant seeks clarification on why the system y(t) = dx(t)/dt is considered non-causal and has memory, expressing confusion over the definitions and their implications.
  • Another participant explains that the definitions of causality and memoryless systems indicate that a system is memoryless if the output depends only on the input at the same time.
  • A different participant suggests that a system is causal if the output depends on current or past inputs, which complicates the classification of the derivative system.
  • Conflicting interpretations arise regarding the definitions of causality, with references to external materials that provide differing views on the nature of the derivative system.
  • One participant notes that the derivative cannot be determined from a single point, implying that the system is not memoryless, while also stating that the output does not anticipate future values of the input, suggesting it is causal.
  • Participants express a desire for clearer explanations and literature to better understand the concepts discussed.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the classification of the system y(t) = dx(t)/dt as causal or non-causal, with multiple competing views and interpretations presented throughout the discussion.

Contextual Notes

There are unresolved aspects regarding the definitions of causality and memoryless systems, as well as the implications of different representations of the derivative. The discussion highlights the dependence on specific definitions and interpretations that may vary among participants.

oujea
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Hello

Can someone please explain me how is system

y(t)=dx(t)/dt non-causal and system with memory? I tried it using derivation definition, but I did not understand it.

Also I'm interested in integral of x(T)dT (from -inf to to) - is it always causal and how? Do you have any literature or links where it is well explained.

Thank you in advance

EDIT:

I found this:
ogkt8n.png


and this:
6hht0y.jpg


How can I know from this definition of derivative that it is not causal? And on those two pictures, dx(t)/dt definition is different, so what's correct? I have before seen second one, but never the first one.
 
Last edited:
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the definitions are equivalent at the limit δt → 0. both expressions give the change in x(t) when you vary t by Δt, devided by Δt. one of them considers a posative Δt from the point of interest, while the other is negative.

unfortunately i don't know what memoryless or casual means
 
A system is memoryless if the output at each time depends only on the input
at the same time.

A system is causal if the output at each time depends only on the input at
the same time or on the prior inputs.
 
ok, well in that case its a bit more complicated.
the internet seems to suggest a system is causal if y(t) depends on x(t), dx/dt, x(t-T) for T>0
ie, things in the past and present only.

... which explains why the first dx/dt definition you post lists it as non causal, since x(t+δt) is in the future. but that now highlights a difference between the definitions.

that info came from "personalpages.manchester.ac.uk/staff/martin.brown/signals/Lecture17.ppt" (its a presentation *.ppt)

another reference gives
http://perso.univ-rennes1.fr/ian.sims/pdfs/L3%20SSP%2010-11%20Model%20Exam%20Solution%20Guide.pdf
b. The system y(t) = dx/dt

Is not memoryless as derivative cannot be determined from a single point

Is causal: output does not anticipate future values of input
thats a french university
two conflicting answers, can anyone shed light on this?
 
Last edited by a moderator:
i found it too, but it did not explain it well...
 

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