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

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The system defined by y(t) = dx(t)/dt is classified as non-causal due to its reliance on future values of the input signal x(t), specifically x(t + δt), which violates the principle of causality. This system also exhibits memory because the output at any given time depends on the behavior of the input over an interval, rather than solely on its current value. The discussion references conflicting definitions of causality and memory, highlighting the need for clarity in understanding these concepts. Key resources include a presentation from the University of Manchester and a model exam solution guide from the University of Rennes.

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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?
 
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i found it too, but it did not explain it well...
 

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