Math Problem Statement
Solution
Let's go through each part of this problem systematically.
Given:
The linear difference equation is:
Part (a): Deduce the Unit Sample Response of the System
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Find the system's transfer function : To determine the unit sample response (impulse response ), we need to find the transfer function .
Taking the -transform of both sides (assuming zero initial conditions), we get:
Factoring out and :
So the transfer function is:
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Find the inverse -transform of : To determine , we perform the partial fraction expansion of and take the inverse -transform. This will provide the unit sample response in the time domain.
Part (b): Determine the Stability of the System
The system's stability can be checked by examining the poles of . For stability, all poles must lie inside the unit circle in the -plane.
- The denominator of , , can be rewritten as:
- Solving this quadratic equation gives the poles of the system. If both poles have magnitudes less than 1, the system is stable.
Part (c): Estimate the Response of the Input Signal
To find the response to the input :
- We can use the convolution sum: where denotes convolution.
- Alternatively, if the transfer function is known, we can determine and then take the inverse -transform to obtain .
Would you like further details on solving each step, including finding the specific unit sample response or stability condition?
Follow-up Questions:
- How do you solve for the poles in a difference equation?
- Why is it important for the poles to lie within the unit circle for stability?
- Can you explain the significance of the unit sample response in LSI systems?
- What is the purpose of using the convolution sum to find the system’s output?
- How does the input affect the system’s response compared to a simple impulse input?
Tip:
When dealing with linear difference equations, converting to the -domain simplifies the process by allowing algebraic manipulation instead of recursive calculations.
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Math Problem Analysis
Mathematical Concepts
Linear Difference Equations
Z-Transform
System Stability
Impulse Response
Convolution
Formulas
y(n) - y(n-1) + 1/4 * y(n-2) = x(n) - 1/4 * x(n-1)
H(z) = Y(z) / X(z)
Quadratic Equation for finding poles: z^2 - z + 1/4 = 0
Convolution sum y(n) = x(n) * h(n)
Theorems
Stability Condition in Z-Transform (poles must lie within the unit circle)
Impulse Response of LSI Systems
Partial Fraction Expansion for inverse Z-transform
Suitable Grade Level
Undergraduate Level (Engineering or Applied Mathematics)
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