Apply inverse Laplace transform and find f(t) of the following

Introductory Circuit Analysis (13th Edition)
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ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
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Apply inverse Laplace transform and find f(t) of the following

**Mathematical Problem Statement**

This problem presents a function \( F(s) \) defined as a rational expression:

\[ 
b) \quad F(s) = \frac{11s^2 - 10s + 11}{(s^2 + 1)(s^2 - 2s + 5)} 
\]

**Explanation:**

- **Numerator**: The expression in the numerator is a quadratic polynomial \( 11s^2 - 10s + 11 \). It consists of three terms: \( 11s^2 \) (quadratic term), \(-10s \) (linear term), and \( 11 \) (constant term).

- **Denominator**: The denominator is a product of two quadratic polynomials:
  1. \( s^2 + 1 \)
  2. \( s^2 - 2s + 5 \)

**Purpose:**

This function \( F(s) \) can be analyzed for its poles and zeros, which are determined by the roots of the denominator and numerator, respectively. It may also be used in applications such as control systems, signal processing, or any field requiring Laplace transforms. 

Understanding such expressions is crucial in systems analysis and mathematical modeling, providing insights into system stability and behavior over time.
Transcribed Image Text:**Mathematical Problem Statement** This problem presents a function \( F(s) \) defined as a rational expression: \[ b) \quad F(s) = \frac{11s^2 - 10s + 11}{(s^2 + 1)(s^2 - 2s + 5)} \] **Explanation:** - **Numerator**: The expression in the numerator is a quadratic polynomial \( 11s^2 - 10s + 11 \). It consists of three terms: \( 11s^2 \) (quadratic term), \(-10s \) (linear term), and \( 11 \) (constant term). - **Denominator**: The denominator is a product of two quadratic polynomials: 1. \( s^2 + 1 \) 2. \( s^2 - 2s + 5 \) **Purpose:** This function \( F(s) \) can be analyzed for its poles and zeros, which are determined by the roots of the denominator and numerator, respectively. It may also be used in applications such as control systems, signal processing, or any field requiring Laplace transforms. Understanding such expressions is crucial in systems analysis and mathematical modeling, providing insights into system stability and behavior over time.
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