Given the function f(x) = , compute the left-endpoint (Riemann) sum using n = 5 on the interval [-1,1]. 22+3

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**Task: Calculating a Left-Endpoint Riemann Sum**

Given the function \( f(x) = \frac{1}{x^2 + 3} \), compute the left-endpoint (Riemann) sum using \( n = 5 \) on the interval \([-1, 1]\).

1. Calculate the width of each subinterval, \(\Delta x\):
   \[
   \Delta x = \frac{1 - (-1)}{5} = \frac{2}{5} = 0.4
   \]

2. Determine the subintervals and left endpoints:
   \[
   [-1, -0.6), [-0.6, -0.2), [-0.2, 0.2), [0.2, 0.6), [0.6, 1]
   \]
   
   Left endpoints: \(-1, -0.6, -0.2, 0.2, 0.6\)

3. Compute the Riemann sum:
   \[
   L_5 = \sum_{i=1}^{5} f(x_i) \cdot \Delta x
   \]
   where \(x_i\) are the left endpoints of each subinterval.

4. Evaluate \( f(x) \) at each left endpoint:
   \[
   f(-1), f(-0.6), f(-0.2), f(0.2), f(0.6)
   \]

5. Calculate \( L_5 \):
   \[
   L_5 = f(-1) \cdot 0.4 + f(-0.6) \cdot 0.4 + f(-0.2) \cdot 0.4 + f(0.2) \cdot 0.4 + f(0.6) \cdot 0.4
   \]

**Hint:**
To simplify calculations, first find \(f(x_i)\) for each endpoint, multiply by the subinterval width (\(\Delta x = 0.4\)), then sum the results for the approximation.
Transcribed Image Text:**Task: Calculating a Left-Endpoint Riemann Sum** Given the function \( f(x) = \frac{1}{x^2 + 3} \), compute the left-endpoint (Riemann) sum using \( n = 5 \) on the interval \([-1, 1]\). 1. Calculate the width of each subinterval, \(\Delta x\): \[ \Delta x = \frac{1 - (-1)}{5} = \frac{2}{5} = 0.4 \] 2. Determine the subintervals and left endpoints: \[ [-1, -0.6), [-0.6, -0.2), [-0.2, 0.2), [0.2, 0.6), [0.6, 1] \] Left endpoints: \(-1, -0.6, -0.2, 0.2, 0.6\) 3. Compute the Riemann sum: \[ L_5 = \sum_{i=1}^{5} f(x_i) \cdot \Delta x \] where \(x_i\) are the left endpoints of each subinterval. 4. Evaluate \( f(x) \) at each left endpoint: \[ f(-1), f(-0.6), f(-0.2), f(0.2), f(0.6) \] 5. Calculate \( L_5 \): \[ L_5 = f(-1) \cdot 0.4 + f(-0.6) \cdot 0.4 + f(-0.2) \cdot 0.4 + f(0.2) \cdot 0.4 + f(0.6) \cdot 0.4 \] **Hint:** To simplify calculations, first find \(f(x_i)\) for each endpoint, multiply by the subinterval width (\(\Delta x = 0.4\)), then sum the results for the approximation.
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