Properties of Systems: Memoryless, Causal, time invariant, linear

In summary, the conversation discusses a system defined by the equation y(t)=[x(t-2)]^2 and determines its properties of memorylessness, causality, time invariance, and linearity. It is concluded that the system is memoryless, causal, time invariant, but not linear.
  • #1
itsdinamo
1
0
Hi, I need a hand with my reasoning on the following question.
I have answered all the questions, but not too sure weather they are correct.
Please guide me or point me on the right direction if they are not correct.
Regards

1. A system defined by the following equation y(t)=[x(t-2)]^2
Is the system Memoryless, Causal, Time Invariant, linear

The attempt at a solution

Memoryless ?

y(t)=x(t-2) has memory, the output is equal to the input two seconds ago.
y(t)=[x(t)]^2 = memoryless, the output at time t0 depends only on the input value at time t0.

Now, y(t)=[x(t-2)]^2 can be thought as y(t)=[x(t-2)*x(t-2)] right?, if so, my best guess would be that the system y(t)=[x(t-2)]^2 has memory.

Causal?
by definition; A system is causal if the output at any time t0 is dependent on the input only for t<=t0.
y(t)=[x(t-2)]^2 = causal

Time Invariant?
by definition if
x(t)--->y(t), then
x(t-t0)--->y(t-t0)
so;
x(t-t0)--->[x((t-t0)-2)]^2
y(t-t0)=[x((t-t0)-2)]^2,
Therefore, y(t)=[x(t-2)]^2 is time invariant.

linear ?
A system is linear if it is homogeneous and additive.
Homogeneous Property
if x(t)--->y(t), then
ax(t)--->ay(t) a= alpha
Additive Property
if x1(t)--->y1(t), and x2(t)--->y2(t), then
x1(t)+x2(t)--->y1(t)+y2(t),

x(t)--->y(t)=[x(t-2)]^2
multiply input by alpha a, then
ax(t)--->[ax(t-2)]^2
ay(t)--->a[(x(t-2))^2]
system y(t)=[x(t-2)]^2 is not homogeneous, thus not linear.
 
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  • #2
Looks good. On the last one, it would be a little clearer if you explicitly pointed out ##\alpha x(t) \Rightarrow [\alpha x(t-2)]^2 = \alpha^2 [x(t-2)]^2 \ne \alpha [x(t-2)]^2 = \alpha y(t).##
 
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What is a memoryless system?

A memoryless system is one in which the output value at a particular time only depends on the input value at that same time. In other words, the output does not take into account any past inputs or outputs.

What is a causal system?

A causal system is one in which the output value at a particular time only depends on the input values at the same and previous times. In other words, the output does not take into account any future inputs or outputs.

What is a time-invariant system?

A time-invariant system is one in which the input-output relationship remains the same over time. This means that if the input is delayed or advanced, the output will also be delayed or advanced by the same amount.

What is a linear system?

A linear system is one in which the output is directly proportional to the input. This means that if the input is doubled, the output will also be doubled, and if the input is tripled, the output will be tripled, and so on.

How are these properties related to each other?

These properties are all related to the behavior and characteristics of a system. A system can have some, all, or none of these properties, and they can also interact with each other. For example, a system can be both time-invariant and linear, but it cannot be both causal and memoryless at the same time.

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