- 2070 Chaitra · 4 marks
Z-transform and ROC of two-sided exponential
Short answer
Term (-1/3)^n u[n] gives 1/(1+(1/3)z^{-1}) with ROC |z|>1/3. Term -(1/3)^n u[-n-1] gives 1/(1-(1/3)z^{-1}) with ROC |z|<1/3. Their ROCs are disjoint, so the signal has no convergent z-transform.
Find the z-transform and locate the ROC of the signal x[n] = (−1/3)^n u[n] − (1/3)^n u[−n−1].
x[n] = (−⅓)ⁿ u[n] − (⅓)ⁿ u[−n−1]. Take the two terms separately.
First term (right-sided): x₁[n] = (−⅓)ⁿ u[n]
X₁(z) = Σ(n=0 to ∞) (−⅓ z⁻¹)ⁿ = 1/(1 + ⅓z⁻¹), ROC: |z| > ⅓
Second term (left-sided): x₂[n] = −(⅓)ⁿ u[−n−1]
X₂(z) = −Σ(n = −∞ to −1) (⅓ z⁻¹)ⁿ = 1/(1 − ⅓z⁻¹), ROC: |z| < ⅓
Combined: x[n] = x₁[n] + x₂[n], so
X(z) = 1/(1 + ⅓z⁻¹) + 1/(1 − ⅓z⁻¹) = 2/(1 − (1/9)z⁻²) = 2z²/(z² − 1/9)
The poles are at z = ±⅓.
ROC: the ROC of the sum must lie in both |z| > ⅓ and |z| < ⅓. These two regions do not overlap.
Im
| ROC1: |z| > 1/3 (outside)
| ROC2: |z| < 1/3 (inside)
-x---o---x-- Re no common ring
Answer: The algebraic form is X(z) = 2z²/(z² − 1/9), but the intersection of the ROCs is empty, so the z-transform of this x[n] does not converge for any z: the ROC does not exist (the signal has no z-transform, and no DTFT). (X(z) = 2z²/(z²−1/9) would correspond to the signal with ROC |z| > ⅓ only, i.e. to a different sequence.)
✓ Answer checked by Claude Opus 5.5 (high effort)
Related questions
- Properties of ROC of z-transform · Digital Signal Analysis and Processing, chapter 2 · asked 6×
- Inverse z-transform, ROC |z| < 0.4 · Digital Signal Analysis and Processing, chapter 2 · asked 5×
- Inverse z-transform, ROC |z| < 1 · Digital Signal Analysis and Processing, chapter 2 · asked 5×
- Inverse z-transform with repeated pole · Digital Signal Analysis and Processing, chapter 2 · asked 5×
- Inverse z-transform for three ROCs · Digital Signal Analysis and Processing, chapter 2 · asked 5×
- Energy/power signals; periodicity of complex exponential · Digital Signal Analysis and Processing, chapter 1
- Z-transform of a finite two-sided sequence · Digital Control System, chapter 2
- Define z-transform and ROC · Applied Mathematics, chapter 2
- Fourier transform of a DC signal · Data Communication, chapter 3
- Fourier transform of a CT signal · Signals and Systems, chapter 3
All Digital Signal Analysis and Processing chapter 2 questions →