Math Problem Statement

Using 4 sub intervals given sin(x^2)dx [0,1] give an upper bound for the absolute error that results from approximations and round to 6 decimal places. also, how large do we need to choose n so that each of the approximations is accurate to within 0.001?

Solution

We are tasked with estimating the upper bound of the absolute error for approximating the integral 01sin(x2)dx\int_0^1 \sin(x^2) \, dx using 4 subintervals. We are also asked to find how large nn (the number of subintervals) must be for the approximation to be accurate within 0.001.

Step 1: Understanding the Trapezoidal Rule and Error Estimation

To approximate the integral using the Trapezoidal Rule, we divide the interval [0,1][0,1] into nn subintervals and apply the rule:

Tn=Δx2(f(x0)+2f(x1)+2f(x2)++2f(xn1)+f(xn))T_n = \frac{\Delta x}{2} \left( f(x_0) + 2f(x_1) + 2f(x_2) + \cdots + 2f(x_{n-1}) + f(x_n) \right) where Δx=10n=1n\Delta x = \frac{1-0}{n} = \frac{1}{n}, and f(x)=sin(x2)f(x) = \sin(x^2).

The error bound for the Trapezoidal Rule is given by:

ET(ba)312n2maxx[a,b]f(x)|E_T| \leq \frac{(b-a)^3}{12n^2} \max_{x \in [a,b]} |f''(x)|

For the interval [0,1][0,1], this simplifies to:

ET112n2maxx[0,1]f(x)|E_T| \leq \frac{1}{12n^2} \max_{x \in [0,1]} |f''(x)|

Step 2: Calculating the Second Derivative

We first need to compute the second derivative of f(x)=sin(x2)f(x) = \sin(x^2).

  1. First derivative: f(x)=2xcos(x2)f'(x) = 2x \cos(x^2)

  2. Second derivative: f(x)=2cos(x2)4x2sin(x2)f''(x) = 2\cos(x^2) - 4x^2 \sin(x^2)

Now, we need to estimate the maximum value of f(x)|f''(x)| on [0,1][0,1].

Step 3: Estimating maxx[0,1]f(x)\max_{x \in [0,1]} |f''(x)|

To get an upper bound for f(x)|f''(x)|, observe that:

  • cos(x2)\cos(x^2) oscillates between -1 and 1, so 2cos(x2)2\cos(x^2) has a maximum value of 2.
  • sin(x2)\sin(x^2) oscillates between -1 and 1, and 4x2sin(x2)-4x^2 \sin(x^2) is maximized at x=1x=1, where it equals 4.

Thus, a rough upper bound for f(x)|f''(x)| is 2+4=62 + 4 = 6. This is a conservative estimate of the maximum of f(x)|f''(x)|.

Step 4: Calculating the Error Bound for 4 Subintervals

Now, using n=4n = 4 subintervals, the error bound becomes:

ET112(4)26=112166=6192=0.03125|E_T| \leq \frac{1}{12(4)^2} \cdot 6 = \frac{1}{12 \cdot 16} \cdot 6 = \frac{6}{192} = 0.03125

So, the upper bound for the absolute error when using 4 subintervals is 0.031250.

Step 5: Finding nn for Accuracy within 0.001

We need to find nn such that the error is less than 0.001:

112n260.001\frac{1}{12n^2} \cdot 6 \leq 0.001

This simplifies to:

[ \frac{6}{12n^2} \leq 0.001 \quad \Rightarrow

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Math Problem Analysis

Mathematical Concepts

Numerical Integration
Trapezoidal Rule
Error Estimation
Calculus

Formulas

T_n = (Δx/2) * (f(x0) + 2f(x1) + ... + 2f(x_{n-1}) + f(xn))
|E_T| ≤ ((b-a)^3 / 12n^2) * max|f''(x)|
f'(x) = 2x * cos(x^2)
f''(x) = 2 * cos(x^2) - 4x^2 * sin(x^2)

Theorems

Trapezoidal Rule Error Bound

Suitable Grade Level

Undergraduate Calculus or Advanced High School