Finite dimensionality of a Discrete time system.

In summary: Your Name]In summary, the system in question has a finite dimensionality of 2, as it is dependent on 2 independent variables - the input and the time index.
  • #1
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Homework Statement



Determine the finite dimensionality of the following system:

y[n] = nx[n]

Homework Equations



y[n]= f(y[n−1], y[n−2],..., y[n−N],x[n],x[n−1],..., x[n−M],n)

Where N is how many dimensions the system has.

The Attempt at a Solution



I understand that the following system would be 1 dimensional.

y[n]=y[n-1]+nx[n]

However, in the case of my question the output at time n is only a function of the input and not a function of the input and output at some shifted time. Does this mean that the system in question is infinite dimensional?

Thanks.
 
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  • #2

Thank you for your question. To determine the finite dimensionality of a system, we need to look at the number of independent variables that are involved in the system. In this case, we have the input x[n] and the time index n. These two variables are independent of each other and therefore, we can say that the system is 2-dimensional.

The equation you have provided is a recursive equation, which means that the output at time n is dependent on the output at previous times as well as the input at current and previous times. However, in this case, the output at time n is still only a function of the input and the time index, which makes it a 2-dimensional system.

I hope this helps. Let me know if you have any further questions.
 

FAQ: Finite dimensionality of a Discrete time system.

1. What does "finite dimensionality" mean in the context of a discrete time system?

In this context, "finite dimensionality" refers to the fact that the system has a finite number of states or variables that can describe its behavior. This means that the system can be fully characterized and analyzed using a finite set of equations or data points.

2. How is the finite dimensionality of a discrete time system determined?

The finite dimensionality of a discrete time system is determined by the number of state variables or parameters that are necessary to describe the behavior of the system. For example, a system with three state variables would be considered to have a three-dimensional state space.

3. What are the advantages of having a finite dimensionality in a discrete time system?

Having a finite dimensionality in a discrete time system allows for easier analysis and understanding of the system's behavior. It also means that the system can be more easily controlled or manipulated, as there are only a limited number of variables that need to be considered.

4. Can a discrete time system have an infinite dimensionality?

No, a discrete time system cannot have an infinite dimensionality. This is because an infinite number of state variables or parameters would be required to fully describe the system's behavior, which is not possible in a finite amount of time or space.

5. How does the finite dimensionality of a discrete time system impact its stability?

The finite dimensionality of a discrete time system can affect its stability in different ways. If the system is under-determined, meaning it has fewer state variables than necessary, it may be unstable. On the other hand, an over-determined system with too many state variables can also lead to instability. Therefore, having the correct number of state variables is crucial for ensuring stability in a discrete time system.

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