Math Problem Statement
Solve
Solution
The given problem provides the transfer function , and there are two tasks:
a) Determine the expression of the discrete signal :
This requires finding the inverse Z-transform of .
b) Use the final and initial value theorems to determine and .
Let's proceed step by step.
Part a) Inverse Z-Transform of
We can rewrite as: Separate this expression:
Now, let's compute the inverse Z-transform term by term.
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For the constant term : The Z-transform of is simply a constant signal in the time domain, meaning: where is the discrete unit impulse.
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For the second term : This corresponds to a causal exponential signal. The Z-transform of a signal (where is the unit step function) is: Comparing this with the term , we can identify and , which gives:
Combining both terms, the inverse Z-transform of is: [ f(n) = 2\delta[n] - 3 \cdot 4^n u[n] ]
Part b) Initial and Final Value Theorems
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Initial Value Theorem: The initial value theorem states that: Substituting , we compute: As , the dominant term in behaves as , so the limit becomes: This suggests a divergence, but from a practical perspective, we consider the signal characteristics: should focus on the contribution of the term involving , which is .
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Final Value Theorem: The final value theorem states that: Applying this to , we get: First, evaluate :
- For , as , the expression simplifies to .
Thus:
Final Answers:
Would you like more details on any step or have any questions?
Here are 5 related questions:
- What is the significance of the unit impulse in the signal ?
- How would the inverse Z-transform change if the denominator of had different poles?
- Can the final value theorem be applied to non-causal systems?
- What happens to the signal if the pole is within the unit circle in the Z-plane?
- 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.
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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)
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