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Page 1: Lecture 04 integration - Max Planck Societyklahr/Lecture_04_integration.pdf · Basis of the Gaussian Quadrature Rule The two-point Gauss Quadrature Rule is an extension of the Trapezoidal

http://numericalmethods.eng.usf.edu 1

Integration

Topic: Trapezoidal Rule

Major: General Engineering

Author: Autar Kaw, Charlie Barker

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What is Integration Integration:

The process of measuring the area under a function plotted on a graph.

Where:

f(x) is the integrand

a= lower limit of integration

b= upper limit of integration

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Basis of Trapezoidal Rule

Trapezoidal Rule is based on the Newton-Cotes Formula that states if one can approximate the integrand as an nth order polynomial…

where

and

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Basis of Trapezoidal RuleThen the integral of that function is approximated

by the integral of that nth order polynomial.

Trapezoidal Rule assumes n=1, that is, the area under the linear polynomial,

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Derivation of the Trapezoidal Rule

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Method Derived From Geometry

The area under the curve is a trapezoid. The integral

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Example 1 The vertical distance covered by a rocket from t=8 to

t=30 seconds is given by:

a) Use single segment Trapezoidal rule to find the distance covered. b) Find the true error, for part (a). c) Find the absolute relative true error, for part (a).

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Solution

a)

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Solution (cont)

a)

b) The exact value of the above integral is

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Solution (cont)

b)

c) The absolute relative true error, , would be

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Multiple Segment Trapezoidal Rule

In Example 1, the true error using single segment trapezoidal rule was large. We can divide the interval [8,30] into [8,19] and [19,30] intervals and apply Trapezoidal rule over each segment.

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Multiple Segment Trapezoidal RuleWith

Hence:

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Multiple Segment Trapezoidal Rule

The true error is:

The true error now is reduced from -807 m to -205 m.

Extending this procedure to divide the interval into equal segments to apply the Trapezoidal rule; the sum of the results obtained for each segment is the approximate value of the integral.

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Multiple Segment Trapezoidal Rule

Figure 4: Multiple (n=4) Segment Trapezoidal Rule

Divide into equal segments as shown in Figure 4. Then the width of each segment is:

The integral I is:

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Multiple Segment Trapezoidal Rule

The integral I can be broken into h integrals as:

Applying Trapezoidal rule on each segment gives:

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Example 2

The vertical distance covered by a rocket from to seconds is given by:

a) Use two-segment Trapezoidal rule to find the distance covered. b) Find the true error, for part (a). c) Find the absolute relative true error, for part (a).

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Solutiona) The solution using 2-segment Trapezoidal rule is

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Solution (cont)Then:

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Solution (cont)

b) The exact value of the above integral is

so the true error is

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Solution (cont)

c) The absolute relative true error, , would be

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Solution (cont)

Table 1 gives the values obtained using multiple segment Trapezoidal rule for:

n Value Et

1 11868 -807 7.296 ---

2 11266 -205 1.853 5.343

3 11153 -91.4 0.8265 1.019

4 11113 -51.5 0.4655 0.3594

5 11094 -33.0 0.2981 0.1669

6 11084 -22.9 0.2070 0.09082

7 11078 -16.8 0.1521 0.05482

8 11074 -12.9 0.1165 0.03560

Table 1: Multiple Segment Trapezoidal Rule Values

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Example 3

Use Multiple Segment Trapezoidal Rule to find the area under the curve

from to .

Using two segments, we get and

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SolutionThen:

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Solution (cont)

So what is the true value of this integral?

Making the absolute relative true error:

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Solution (cont)

n Approximate Value

1 0.681 245.91 99.724%

2 50.535 196.05 79.505%

4 170.61 75.978 30.812%

8 227.04 19.546 7.927%

16 241.70 4.887 1.982%

32 245.37 1.222 0.495%

64 246.28 0.305 0.124%

Table 2: Values obtained using Multiple Segment Trapezoidal Rule for:

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Error in Multiple Segment Trapezoidal Rule

The true error for a single segment Trapezoidal rule is given by:

where is some point in

What is the error, then in the multiple segment Trapezoidal rule? It will be simply the sum of the errors from each segment, where the error in each segment is that of the single segment Trapezoidal rule.

The error in each segment is

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Error in Multiple Segment Trapezoidal Rule

Similarly:

It then follows that:

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Error in Multiple Segment Trapezoidal Rule

Hence the total error in multiple segment Trapezoidal rule is

The term is an approximate average value of the

.

Hence:

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Error in Multiple Segment Trapezoidal Rule

Below is the table for the integral

as a function of the number of segments. You can visualize that as the number of segments are doubled, the true error gets approximately quartered.

n Value

2 11266 -205 1.854 5.343

4 11113 -51.5 0.4655 0.3594

8 11074 -12.9 0.1165 0.03560

16 11065 -3.22 0.02913 0.00401

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Integration

Topic: Simpson’s 1/3rd Rule

Major: General Engineering

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Basis of Simpson’s 1/3rd RuleTrapezoidal rule was based on approximating the integrand by a first

order polynomial, and then integrating the polynomial in the interval of

integration. Simpson’s 1/3rd rule is an extension of Trapezoidal rule

where the integrand is approximated by a second order polynomial.

Hence

Where is a second order polynomial.

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Basis of Simpson’s 1/3rd Rule

Choose

and

as the three points of the function to evaluate a0, a1 and a2.

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Basis of Simpson’s 1/3rd Rule

Solving the previous equations for a0, a1 and a2 give

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Basis of Simpson’s 1/3rd Rule

Then

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Basis of Simpson’s 1/3rd RuleSubstituting values of a0, a1, a 2 give

Since for Simpson’s 1/3rd Rule, the interval [a, b] is broken

into 2 segments, the segment width

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Basis of Simpson’s 1/3rd Rule

Hence

Because the above form has 1/3 in its formula, it is called Simpson’s 1/3rd Rule.

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Example 1

a) Use Simpson’s 1/3rd Rule to find the approximate value of x

The distance covered by a rocket from t=8 to t=30 is given by

b) Find the true error,

c) Find the absolute relative true error,

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Solution

a)

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Solution (cont)

b) The exact value of the above integral is

True Error

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Solution (cont)a)c) Absolute relative true error,

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Multiple Segment Simpson’s 1/3rd Rule

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Multiple Segment Simpson’s 1/3rd Rule

Just like in multiple segment Trapezoidal Rule, one can subdivide the interval

[a, b] into n segments and apply Simpson’s 1/3rd Rule repeatedly over

every two segments. Note that n needs to be even. Divide interval

[a, b] into equal segments, hence the segment width

where

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Multiple Segment Simpson’s 1/3rd Rule

.

.

Apply Simpson’s 1/3rd Rule over each interval,

f(x)

. . .

x0 x2 xn-2 xn

x

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Multiple Segment Simpson’s 1/3rd Rule

Since

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Multiple Segment Simpson’s 1/3rd Rule

Then

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Multiple Segment Simpson’s 1/3rd Rule

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Example 2 Use 4-segment Simpson’s 1/3rd Rule to approximate the distance

covered by a rocket from t= 8 to t=30 as given by

a) Use four segment Simpson’s 1/3rd Rule to find the approximate value of x.

b) Find the true error, for part (a). c) Find the absolute relative true error, for part (a).

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SolutionUsing n segment Simpson’s 1/3rd Rule,

So

a)

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Solution (cont.)

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Solution (cont.)cont.

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Solution (cont.)

In this case, the true error isb)

The absolute relative true errorc)

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Solution (cont.)

Table 1: Values of Simpson’s 1/3rd Rule for Example 2 with multiple segments

n Approximate Value Et |Єt |

2 4 6 8 10

11065.72 11061.64 11061.40 11061.35 11061.34

4.38 0.30 0.06 0.01 0.00

0.0396% 0.0027% 0.0005% 0.0001% 0.0000%

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Error in the Multiple Segment Simpson’s 1/3rd Rule

The true error in a single application of Simpson’s 1/3rd Rule is given as

In Multiple Segment Simpson’s 1/3rd Rule, the error is the sum of the errors

in each application of Simpson’s 1/3rd Rule. The error in n segment Simpson’s

1/3rd Rule is given by

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Error in the Multiple Segment Simpson’s 1/3rd Rule

.

.

.

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Error in the Multiple Segment Simpson’s 1/3rd Rule

Hence, the total error in Multiple Segment Simpson’s 1/3rd Rule is

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Error in the Multiple Segment Simpson’s 1/3rd Rule

The term is an approximate average value of

Hence

where

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Integration

Topic: Gauss Quadrature Rule of Integration

Major: General Engineering

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Two-Point Gaussian Quadrature Rule

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Basis of the Gaussian Quadrature Rule

Previously, the Trapezoidal Rule was developed by the method

of undetermined coefficients. The result of that development is

summarized below.

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Basis of the Gaussian Quadrature Rule

The two-point Gauss Quadrature Rule is an extension of the Trapezoidal Rule approximation where the arguments of the function are not predetermined as a and b but as unknowns x1 and x2. In the two-point Gauss Quadrature Rule, the integral is approximated as

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Basis of the Gaussian Quadrature Rule

The four unknowns x1, x2, c1 and c2 are found by assuming that the formula gives exact results for integrating a general third order polynomial,

Hence

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Basis of the Gaussian Quadrature Rule

It follows that

Equating Equations the two previous two expressions yield

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Basis of the Gaussian Quadrature Rule

Since the constants a0, a1, a2, a3 are arbitrary

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Basis of Gauss Quadrature

The previous four simultaneous nonlinear Equations have only one acceptable solution,

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Basis of Gauss Quadrature

Hence Two-Point Gaussian Quadrature Rule

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Higher Point Gaussian Quadrature Formulas

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Higher Point Gaussian Quadrature Formulas

is called the three-point Gauss Quadrature Rule. The coefficients c1, c2, and c3, and the functional arguments x1, x2, and x3

are calculated by assuming the formula gives exact expressions for

General n-point rules would approximate the integral

integrating a fifth order polynomial

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Arguments and Weighing Factors for n-point Gauss Quadrature

Formulas

In handbooks, coefficients and

Gauss Quadrature Rule are

as shown in Table 1.

Points Weighting Factors

Function Arguments

2 c1 = 1.000000000 c2 = 1.000000000

x1 = -0.577350269 x2 = 0.577350269

3 c1 = 0.555555556 c2 = 0.888888889 c3 = 0.555555556

x1 = -0.774596669 x2 = 0.000000000 x3 = 0.774596669

4 c1 = 0.347854845 c2 = 0.652145155 c3 = 0.652145155 c4 = 0.347854845

x1 = -0.861136312 x2 = -0.339981044 x3 = 0.339981044 x4 = 0.861136312

arguments given for n-point

given for integrals

Table 1: Weighting factors c and function arguments x used in Gauss Quadrature Formulas.

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Arguments and Weighing Factors for n-point Gauss Quadrature

Formulas

Points Weighting Factors

Function Arguments

5 c1 = 0.236926885 c2 = 0.478628670 c3 = 0.568888889 c4 = 0.478628670 c5 = 0.236926885

x1 = -0.906179846 x2 = -0.538469310 x3 = 0.000000000 x4 = 0.538469310 x5 = 0.906179846

6 c1 = 0.171324492 c2 = 0.360761573 c3 = 0.467913935 c4 = 0.467913935 c5 = 0.360761573 c6 = 0.171324492

x1 = -0.932469514 x2 = -0.661209386 x3 = -0.2386191860 x4 = 0.2386191860 x5 = 0.661209386 x6 = 0.932469514

Table 1 (cont.) : Weighting factors c and function arguments x used in Gauss Quadrature Formulas.

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Arguments and Weighing Factors for n-point Gauss Quadrature

FormulasSo if the table is given for integrals, how does one solve

? The answer lies in that any integral with limits of

can be converted into an integral with limits Let

If then

If thenSuch that:

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Arguments and Weighing Factors for n-point Gauss Quadrature

FormulasThen Hence

Substituting our values of x, and dx into the integral gives us

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Example 1

For an integral derive the one-point Gaussian Quadrature

Rule.

Solution

The one-point Gaussian Quadrature Rule is

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Solution Assuming the formula gives exact values for integrals

and

Since the other equation becomes

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Solution (cont.)

Therefore, one-point Gauss Quadrature Rule can be expressed as

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Example 2

Use two-point Gauss Quadrature Rule to approximate the distance

covered by a rocket from t=8 to t=30 as given by

Find the true error, for part (a).

Also, find the absolute relative true error, for part (a).

a)

b)

c)

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Solution

First, change the limits of integration from [8,30] to [-1,1]

by previous relations as follows

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Solution (cont)

.

Next, get weighting factors and function argument values from Table 1

for the two point rule,.

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Solution (cont.)Now we can use the Gauss Quadrature formula

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Solution (cont)

since

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Solution (cont)

The absolute relative true error, , is (Exact value = 11061.34m) c)

The true error, , isb)

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