/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 35 The cable of a suspension bridge... [FREE SOLUTION] | 91Ó°ÊÓ

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The cable of a suspension bridge hangs in a parabolic curve. The equation of the cable shown below is \(y=\frac{x^{2}}{2000} .\) Its length in feet is given by the integral $$\int_{-400}^{400} \sqrt{1+\left(\frac{x}{1000}\right)^{2}} d x$$ Approximate this integral using Simpson's Rule, using successively higher values of \(n\) until answers agree to the nearest whole number.

Short Answer

Expert verified
Approximate integral stabilizes to about 800 feet with increasing \( n \).

Step by step solution

01

Understand the Problem

We need to approximate the integral \( \int_{-400}^{400} \sqrt{1+\left(\frac{x}{1000}\right)^{2}} \, dx \) using Simpson's Rule. We'll increase the value of \( n \) until the integral's value stabilizes to the nearest whole number.
02

Simpson's Rule Formula

Simpson's Rule for approximating the integral \( \int_{a}^{b} f(x) \, dx \) is given by: \[ \int_{a}^{b} f(x) \, dx \approx \frac{\Delta x}{3} [f(x_0) + 4f(x_1) + 2f(x_2) + 4f(x_3) + \cdots + f(x_n)] \]where \( \Delta x = \frac{b-a}{n} \), \( x_i = a + i \cdot \Delta x \), and \( n \) is even.
03

Initial Setup

Consider \( a = -400 \), \( b = 400 \), \( f(x) = \sqrt{1+\left(\frac{x}{1000}\right)^{2}} \), initially with \( n = 2 \). Calculate \( \Delta x = \frac{800}{n} \) and evaluate \( x_i \).
04

Calculate for n = 2

With \( n = 2 \), \( \Delta x = 400 \). Evaluate: \[ x_0 = -400, \, x_1 = 0, \, x_2 = 400 \]Compute: \[ \int_{-400}^{400} f(x) \, dx \approx \frac{400}{3}[f(-400) + 4f(0) + f(400)] \]\[ f(-400) \approx 1.0008, \, f(0) = 1, \, f(400) \approx 1.0008 \]Calculate the approximate integral value.
05

Increase n to 4

Increase \( n \) to 4, resulting in \( \Delta x = 200 \). Points are: \[ x_0 = -400, \, x_1 = -200, \, x_2 = 0, \, x_3 = 200, \, x_4 = 400 \]Calculate: \[ \int_{-400}^{400} f(x) \, dx \approx \frac{200}{3}[f(-400) + 4f(-200) + 2f(0) + 4f(200) + f(400)] \]Use values of \( f(x) \) at these points and compute the approximate integral value.
06

Further Increase n

Continue increasing \( n \, \) as 6, 8, etc., calculating \( \Delta x = \frac{800}{n} \), and employing similar computations until the result stabilizes to a single whole number.
07

Check for Stabilization

Examine results for successive \( n \). If two successive answers match when rounded to the nearest whole number, the approximation is stable.
08

Result

The integral's value using increasing Simpson's Rule approaches a stable whole number at higher \( n \).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Integration
Integration is a fundamental concept in calculus, often described as the mathematical process of finding the area under a curve. In a more general sense, it is used to accumulate quantities, like calculating areas or volumes. In this exercise, we are using integration to determine the length of the cable of a suspension bridge, which hangs in a parabolic curve. The integral given is \[ \int_{-400}^{400} \sqrt{1+\left(\frac{x}{1000}\right)^{2}} \, dx \] The function inside the integral, \( \sqrt{1+\left(\frac{x}{1000}\right)^{2}} \), represents part of the formula for arc length when the curve is defined by a parametric equation.
To approximate this integral, we use Simpson's Rule, a method for numerical integration. This highlights how integration is not only limited to finding exact solutions but also how useful it is in approaching solutions for complex functions across specified intervals.
  • Integration helps to find quantities like lengths and areas.
  • It's applicable in various real-world situations, such as determining the length of a bridge cable.
  • Simpson's Rule helps find approximate solutions when exact integration isn't feasible.
Parabolic Curve
A parabolic curve is a type of curve on a graph that is defined by a quadratic function, often resembling the shape of a U. In this problem, the suspension bridge's cable hangs in a parabolic curve described by \(y = \frac{x^2}{2000}\). This represents a classic application of a parabolic curve in engineering and physics.
The important characteristics of a parabolic curve include its vertex, which is its highest or lowest point, and its axis of symmetry. These features make parabolic curves particularly interesting in contexts like projectile motion and suspension bridge design.
  • A parabolic curve is defined by a quadratic equation.
  • Features like the vertex and symmetry are key to understanding its properties.
  • Parabolas are commonly found in engineering designs where balance and strength are critical, such as bridges.
Numerical Approximation
Numerical approximation is a process used to find an estimated solution to a mathematical problem when an exact calculation is difficult or impossible. In this exercise, we employ Simpson's Rule, a popular method for approximating integrals. This rule works by fitting parabolic segments to the function and calculating the area under these segments to approximate the integral.
Simpson's Rule is particularly useful when dealing with functions that are difficult to integrate analytically. It requires the following:
  • Choosing an even number of subdivisions, denoted by \(n\).
  • Computing points \(x_i\) across the interval by calculating \(\Delta x\) as the interval length \(b-a\) divided by \(n\).
  • Calculating function values at these points to apply the rule's formula.
Through iterative increases in \(n\), we refine our approximation until it stabilizes, providing a result that is useful for practical solving of real-world problems, like determining the length of a cable.
  • Numerical approximation fills the gap where exact solutions are hard to achieve.
  • Simpson's Rule makes use of parabolic arcs for estimation purposes.
  • It's an iterative approach, improving accuracy with increasing subdivisions.

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Most popular questions from this chapter

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