VIPSolutions logo ✨ VIPSolutions

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?

Question:

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?

This is AI generated Response.
Asked by: manish kumar
Created at: 2025-08-17 11:13:31

Final Answer:

Rendered Raw Text
Did you like this answer?
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 \( \boxed{1} \).

📢 Instructions:

  • Ask anything relatd to above question only.
  • For new Question goto :

Study Help, Fast Answers

VIPSolutions focuses on clear, step‑by‑step explanations so you can learn quickly. Whether you need an AI‑generated walkthrough or a short hint to get unstuck, each solution is organized for fast reading and easy review later.

Search similar questions, compare approaches, and bookmark the best answers for revision. Our goal is simple: quick, reliable study help that feels natural—not noisy.