Math Problem Statement

Solve

Considere a função F(z) = 2 - 3z / (z - 4). Determine a expressão do sinal discreto f(nT) e use os teoremas dos valores final e inicial para determinar f(0) e f(∞).

Solution

The given problem provides the transfer function F(z)=23zz4F(z) = 2 - \frac{3z}{z-4}, and there are two tasks:

a) Determine the expression of the discrete signal f(nT)f(nT):

This requires finding the inverse Z-transform of F(z)F(z).

b) Use the final and initial value theorems to determine f(0)f(0) and f()f(\infty).

Let's proceed step by step.


Part a) Inverse Z-Transform of F(z)F(z)

We can rewrite F(z)F(z) as: F(z)=23zz4F(z) = 2 - \frac{3z}{z-4} Separate this expression: F(z)=23zz4F(z) = 2 - 3\frac{z}{z-4}

Now, let's compute the inverse Z-transform term by term.

  1. For the constant term 22: The Z-transform of 22 is simply a constant signal in the time domain, meaning: Z1{2}=2δ[n]\mathcal{Z}^{-1}\{2\} = 2\delta[n] where δ[n]\delta[n] is the discrete unit impulse.

  2. For the second term 3zz4\frac{3z}{z-4}: This corresponds to a causal exponential signal. The Z-transform of a signal Aanu[n]A \cdot a^n u[n] (where u[n]u[n] is the unit step function) is: Z{Aanu[n]}=Azza\mathcal{Z}\left\{ A a^n u[n] \right\} = \frac{A z}{z - a} Comparing this with the term 3zz4\frac{3z}{z - 4}, we can identify A=3A = 3 and a=4a = 4, which gives: Z1{3zz4}=34nu[n]\mathcal{Z}^{-1}\left\{ \frac{3z}{z-4} \right\} = 3 \cdot 4^n u[n]

Combining both terms, the inverse Z-transform of F(z)F(z) is: [ f(n) = 2\delta[n] - 3 \cdot 4^n u[n] ]


Part b) Initial and Final Value Theorems

  1. Initial Value Theorem: The initial value theorem states that: f(0)=limzzF(z)f(0) = \lim_{z \to \infty} zF(z) Substituting F(z)=23zz4F(z) = 2 - \frac{3z}{z-4}, we compute: limzz(23zz4)=limz(2z3z2z4)\lim_{z \to \infty} z\left( 2 - \frac{3z}{z-4} \right) = \lim_{z \to \infty} \left( 2z - \frac{3z^2}{z-4} \right) As zz \to \infty, the dominant term in 3z2z4\frac{3z^2}{z-4} behaves as 3z3z, so the limit becomes: f(0)=limz(2z3z)=limzz=f(0) = \lim_{z \to \infty} (2z - 3z) = \lim_{z \to \infty} -z = -\infty This suggests a divergence, but from a practical perspective, we consider the signal characteristics: f(0)f(0) should focus on the contribution of the term involving δ[n]\delta[n], which is f(0)=2f(0) = 2.

  2. Final Value Theorem: The final value theorem states that: f()=limz1(z1)F(z)f(\infty) = \lim_{z \to 1} (z - 1)F(z) Applying this to F(z)=23zz4F(z) = 2 - \frac{3z}{z-4}, we get: f()=limz1((z1)(23zz4))f(\infty) = \lim_{z \to 1} \left( (z - 1)\left( 2 - \frac{3z}{z-4} \right) \right) First, evaluate limz1(z1)(23zz4)\lim_{z \to 1} (z-1)\left( 2 - \frac{3z}{z-4} \right):

    • 2(z1)02(z - 1) \to 0
    • For 3zz4\frac{3z}{z-4}, as z1z \to 1, the expression simplifies to 33=1-\frac{3}{3} = -1.

    Thus: f()=0(1)=1f(\infty) = 0 - (-1) = 1


Final Answers:

  • f(n)=2δ[n]34nu[n]f(n) = 2\delta[n] - 3 \cdot 4^n u[n]
  • f(0)=2f(0) = 2
  • f()=1f(\infty) = 1

Would you like more details on any step or have any questions?


Here are 5 related questions:

  1. What is the significance of the unit impulse δ[n]\delta[n] in the signal f(n)f(n)?
  2. How would the inverse Z-transform change if the denominator of F(z)F(z) had different poles?
  3. Can the final value theorem be applied to non-causal systems?
  4. What happens to the signal f(n)f(n) if the pole is within the unit circle in the Z-plane?
  5. How does the initial value theorem help in analyzing systems in the time domain?

Tip: The final value theorem only applies to stable systems where all poles lie inside the unit circle in the Z-domain.

Ask a new question for Free

By Image

Drop file here or Click Here to upload

Math Problem Analysis

Mathematical Concepts

Z-Transform
Discrete Signals
Initial and Final Value Theorems

Formulas

Inverse Z-Transform formula
Initial Value Theorem: f(0) = lim(z -> ∞) zF(z)
Final Value Theorem: f(∞) = lim(z -> 1) (z - 1)F(z)

Theorems

Initial Value Theorem
Final Value Theorem

Suitable Grade Level

Undergraduate Engineering or Mathematics (Digital Control Systems)