Give step-by-step solution with explanation and final answer: I f I = ∫ x = 0 2 x d x = 2 and the error value i s E ( n ) = R S ( n ) - 1 , what i s the optimal error value?
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Give step-by-step solution with explanation and final answer: I f I = ∫ x = 0 2 x d x = 2 and the error value i s E ( n ) = R S ( n ) - 1 , what i s the optimal error value?
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Asked by: manish kumar
Created at: 2025-08-17 11:13:31
Asked by: manish kumar
Created at: 2025-08-17 11:13:31
Final Answer:
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Let's break down the problem step-by-step:
---
### 1. **Given Data**
- The integral:
\[
I = \int_{x=0}^{2} x \, dx = 2
\]
- Error value defined as:
\[
E(n) = RS(n) - 1
\]
Where \( RS(n) \) is presumably the **right Riemann sum** approximation with \( n \) subdivisions.
---
### 2. **Evaluate the Integral**
\[
I = \int_{0}^{2} x \, dx = \left[ \frac{x^2}{2} \right]_0^2 = \frac{2^2}{2} - \frac{0^2}{2} = \frac{4}{2} = 2
\]
So the given value is confirmed.
---
### 3. **Right Riemann Sum for \( f(x) = x \) on [0, 2]**
Partition the interval \([0,2]\) into \( n \) equal subintervals:
- Width of each subinterval: \( \Delta x = \frac{2 - 0}{n} = \frac{2}{n} \)
- Right endpoints: \( x_i = 0 + i \Delta x = \frac{2i}{n} \), \( i = 1, 2, ..., n \)
The right Riemann sum is:
\[
RS(n) = \sum_{i=1}^{n} f(x_i) \Delta x = \sum_{i=1}^{n} x_i \Delta x = \sum_{i=1}^{n} \left(\frac{2i}{n}\right) \left(\frac{2}{n}\right) = \sum_{i=1}^{n} \frac{4i}{n^2}
\]
\[
RS(n) = \frac{4}{n^2} \sum_{i=1}^{n} i = \frac{4}{n^2} \cdot \frac{n(n+1)}{2} = \frac{4}{n^2} \cdot \frac{n(n+1)}{2}
\]
\[
= \frac{2n(n+1)}{n^2} = 2\left(1 + \frac{1}{n}\right)
\]
---
### 4. **The Error Value \( E(n) \)**
Recall:
\[
E(n) = RS(n) - 1
\]
From above,
\[
RS(n) = 2 \left(1 + \frac{1}{n}\right) = 2 + \frac{2}{n}
\]
So,
\[
E(n) = 2 + \frac{2}{n} - 1 = 1 + \frac{2}{n}
\]
---
### 5. **Optimal Error Value**
**"Optimal error value"** typically means the minimum possible error, i.e., the value as \( n \rightarrow \infty \).
Take the limit as \( n \to \infty \):
\[
\lim_{n \to \infty} E(n) = \lim_{n \to \infty} \left(1 + \frac{2}{n}\right) = 1
\]
---
### **Summary Table**
| Step | Calculation | Result |
|------|---------------------------------------------------------|-----------------------|
| 1 | \( I = \int_0^2 x dx \) | 2 |
| 2 | \( RS(n) = 2\left(1 + \frac{1}{n}\right) \) | \( 2 + \frac{2}{n} \) |
| 3 | \( E(n) = RS(n) - 1 \) | \( 1 + \frac{2}{n} \) |
| 4 | \( \lim_{n \to \infty} E(n) \) (optimal error value) | **1** |
---
## **Final Answer**
\[
\boxed{1}
\]
The **optimal error value** is \( \boxed{1} \).
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