Math Problem Statement

An LSI system is represented by the linear difference equation. y(n) - y(n-1) + 1/4 * y(n-2) = x(n) - 1/4 * x(n-1). (a) Deduce the unit sample response of the system. (b) Categorize the system stability. (c) Estimate the response of the input signal x(n) = (1/4)^n * u(n).

Solution

Let's go through each part of this problem systematically.

Given:

The linear difference equation is: y(n)y(n1)+14y(n2)=x(n)14x(n1)y(n) - y(n-1) + \frac{1}{4} y(n-2) = x(n) - \frac{1}{4} x(n-1)

Part (a): Deduce the Unit Sample Response of the System

  1. Find the system's transfer function H(z)H(z): To determine the unit sample response (impulse response h(n)h(n)), we need to find the transfer function H(z)=Y(z)X(z)H(z) = \frac{Y(z)}{X(z)}.

    Taking the zz-transform of both sides (assuming zero initial conditions), we get: Y(z)z1Y(z)+14z2Y(z)=X(z)14z1X(z)Y(z) - z^{-1} Y(z) + \frac{1}{4} z^{-2} Y(z) = X(z) - \frac{1}{4} z^{-1} X(z)

    Factoring out Y(z)Y(z) and X(z)X(z): Y(z)(1z1+14z2)=X(z)(114z1)Y(z) \left(1 - z^{-1} + \frac{1}{4} z^{-2}\right) = X(z) \left(1 - \frac{1}{4} z^{-1}\right)

    So the transfer function H(z)H(z) is: H(z)=Y(z)X(z)=114z11z1+14z2H(z) = \frac{Y(z)}{X(z)} = \frac{1 - \frac{1}{4} z^{-1}}{1 - z^{-1} + \frac{1}{4} z^{-2}}

  2. Find the inverse zz-transform of H(z)H(z): To determine h(n)h(n), we perform the partial fraction expansion of H(z)H(z) and take the inverse zz-transform. This will provide the unit sample response h(n)h(n) in the time domain.

Part (b): Determine the Stability of the System

The system's stability can be checked by examining the poles of H(z)H(z). For stability, all poles must lie inside the unit circle in the zz-plane.

  1. The denominator of H(z)H(z), 1z1+14z21 - z^{-1} + \frac{1}{4} z^{-2}, can be rewritten as: z2z+14=0z^2 - z + \frac{1}{4} = 0
  2. 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 x(n)=(14)nu(n)x(n) = \left( \frac{1}{4} \right)^n u(n)

To find the response y(n)y(n) to the input x(n)=(14)nu(n)x(n) = \left( \frac{1}{4} \right)^n u(n):

  1. We can use the convolution sum: y(n)=x(n)h(n)y(n) = x(n) * h(n) where * denotes convolution.
  2. Alternatively, if the transfer function H(z)H(z) is known, we can determine Y(z)=H(z)X(z)Y(z) = H(z) X(z) and then take the inverse zz-transform to obtain y(n)y(n).

Would you like further details on solving each step, including finding the specific unit sample response or stability condition?


Follow-up Questions:

  1. How do you solve for the poles in a difference equation?
  2. Why is it important for the poles to lie within the unit circle for stability?
  3. Can you explain the significance of the unit sample response in LSI systems?
  4. What is the purpose of using the convolution sum to find the system’s output?
  5. How does the input (14)nu(n)\left( \frac{1}{4} \right)^n u(n) affect the system’s response compared to a simple impulse input?

Tip:

When dealing with linear difference equations, converting to the zz-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)