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Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
Chapter1: Introduction
Section: Chapter Questions
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### Problem 1: Prove

This image presents a table with mathematical expressions that require proof. The expressions are structured as discrete-time functions, and their respective transformations, likely in the context of signal processing or systems analysis. Here is the transcribed content:

#### Left Column
1. \( x_1[n] * x_2[n] \)
2. \( x[n] - x[n-1] \)
3. \( \sum_{k=-\infty}^{n} x[k] \)
4. \( n \cdot x[n] \)

#### Right Column
1. \( X_1(z) \cdot X_2(z) \)
2. \( (1 - z^{-1})X(z) \)
3. \( \frac{1}{1-z^{-1}} X(z) \)
4. \( -z \frac{dX(z)}{dz} \)

### Explanation

Each pair of expressions suggests a relationship between a time-domain function on the left and its corresponding Z-transform operation on the right. Proving these relationships involves demonstrating how the time-domain operations translate into the frequency domain using Z-transform properties and theorems. 

The expressions deal with operations such as convolution, differentiation, and summation, which are fundamental in analyzing and designing discrete-time systems.
Transcribed Image Text:### Problem 1: Prove This image presents a table with mathematical expressions that require proof. The expressions are structured as discrete-time functions, and their respective transformations, likely in the context of signal processing or systems analysis. Here is the transcribed content: #### Left Column 1. \( x_1[n] * x_2[n] \) 2. \( x[n] - x[n-1] \) 3. \( \sum_{k=-\infty}^{n} x[k] \) 4. \( n \cdot x[n] \) #### Right Column 1. \( X_1(z) \cdot X_2(z) \) 2. \( (1 - z^{-1})X(z) \) 3. \( \frac{1}{1-z^{-1}} X(z) \) 4. \( -z \frac{dX(z)}{dz} \) ### Explanation Each pair of expressions suggests a relationship between a time-domain function on the left and its corresponding Z-transform operation on the right. Proving these relationships involves demonstrating how the time-domain operations translate into the frequency domain using Z-transform properties and theorems. The expressions deal with operations such as convolution, differentiation, and summation, which are fundamental in analyzing and designing discrete-time systems.
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