Find Ln, R₁, and their average for the definite integral below using the indicated value of n. 5 f (x² +4) dx, n = 4

Calculus: Early Transcendentals
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Author:James Stewart
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Chapter1: Functions And Models
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**Topic: Calculus - Numerical Integration Techniques**

**Objective:** Find \( L_n \), \( R_n \), and their average for the definite integral below using the indicated value of \( n \).

**Definite Integral:**

\[ 
\int_{1}^{5} (x^2 + 4) \, dx, \quad n = 4
\]

**Explanation:**

In this problem, you are asked to approximate the definite integral of the function \( x^2 + 4 \) from 1 to 5 using numerical methods. The methods involved are the Left Riemann Sum (\( L_n \)), Right Riemann Sum (\( R_n \)), and the average of these two values.

- **Left Riemann Sum (\( L_n \))**: This method approximates the area under the curve by using the left endpoints of subintervals. For \( n = 4 \), we divide the interval [1, 5] into 4 equal subintervals and calculate the sum of areas of rectangles using the left endpoints.

- **Right Riemann Sum (\( R_n \))**: This method uses the right endpoints of subintervals to approximate the integral. Similarly, divide the interval [1, 5] into 4 equal subintervals and compute the rectangle areas using the right endpoints.

- **Average of \( L_n \) and \( R_n \)**: After calculating both sums, take their average to obtain a more accurate approximation of the integral.

This approach is useful for understanding how numerical methods can approximate integrals when an analytical solution is difficult to obtain or when dealing with real-world data.
Transcribed Image Text:**Topic: Calculus - Numerical Integration Techniques** **Objective:** Find \( L_n \), \( R_n \), and their average for the definite integral below using the indicated value of \( n \). **Definite Integral:** \[ \int_{1}^{5} (x^2 + 4) \, dx, \quad n = 4 \] **Explanation:** In this problem, you are asked to approximate the definite integral of the function \( x^2 + 4 \) from 1 to 5 using numerical methods. The methods involved are the Left Riemann Sum (\( L_n \)), Right Riemann Sum (\( R_n \)), and the average of these two values. - **Left Riemann Sum (\( L_n \))**: This method approximates the area under the curve by using the left endpoints of subintervals. For \( n = 4 \), we divide the interval [1, 5] into 4 equal subintervals and calculate the sum of areas of rectangles using the left endpoints. - **Right Riemann Sum (\( R_n \))**: This method uses the right endpoints of subintervals to approximate the integral. Similarly, divide the interval [1, 5] into 4 equal subintervals and compute the rectangle areas using the right endpoints. - **Average of \( L_n \) and \( R_n \)**: After calculating both sums, take their average to obtain a more accurate approximation of the integral. This approach is useful for understanding how numerical methods can approximate integrals when an analytical solution is difficult to obtain or when dealing with real-world data.
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