MODULE III

NUMERICAL SOLUTION OF ALGEBRAIC AND TRANSCENDENTAL EQUATIONS

A .To find the roots of the equation f(x) = 0.

Bisection Method

It consist of locating the roots of the equation f(x) = 0betwen a and b. Suppose f(x) is continuous between a and b and f(a) is -ve and f(b) is positive. Then the first approximation to the root is x1 = .If f( x1) =0 then x1 is a root of f(x) =0. If f( x1) is positive then the root lies between a and x1.

If f(x1) is -ve, root lies between x1and b. Then bisect the interval as before and continue the process until the root is found to desired accuracy.

Problem 1

Find the root of the equation x3- 4x - 9=0 using the bisection method in 4 stages.

Solution

Let f(x) = x3- 4x – 9

Then f(1) = -12

f(2) = -9

f(3) = 6

Here f(2) is -ve and f(3) is positive. Therefore root lies in (2,3)

Hence the first approximation to the root is x1 = =2.5

f( x1) = 2.53- 4x2.5 – 9 = -3

Root lies between 2.5 and 3.

x2 = =2.75

f( x2) = 2.753- 4x2.75 – 9 = 0.79

Root lies between 2.5 and 2.75.

x3 = =2.625

f( x3) = 2.6253- 4x2.625 – 9 = -1.4121

Root lies between 2.625 and 2.75.

x4 = =2.6875

required root is x4 = 2.6875

Note

Negative root of the equation f(x) = 0 is equal to the -ve of +ve root of the equation f(-x) =0

Problem 2

Find a -ve root of the equation x3+1 = sinx

Solution

Given equation is sinx - x3-1 = 0

Negative root of sinx - x3-1 = 0 ≡ -ve of positive root of sin(-x) - (-x)3-1 = 0

Now to find the +ve root of x3 sinx – 1 = 0

Let f(x) = x3 sinx – 1

Then f(1)= 1- sin1-1 = -0.84

f(2)= 8- sin2-1 = 6.09

Therefore f(1) is -ve and f(2) is +ve.

Rootlies in (1,2)

Hence the first approximation to the root is x1 = =1.5

f( x1) = 1.53- sin 1.5 – 1 = 1.37

Root lies between 1 and 1.5.

x2 = =1.25

f( x2) = 1. 253- sin 1. 25 – 1 = 0.004

Root lies between 1 and 1.25.

x3 = =1.125

f( x3) = 1.1253- sin 1.125 – 1 = -0.47

Root lies between 1.125 and 1.25.

x4 = =1.1875

f( x4) = 1.18753- sin 1.1875 – 1 = -0.25

Root lies between 1.1875 and 1.25.

x4 = =1.21875

required root is x4 = -1.21875

Regula – Falsi method or method of False Position

Find two values a and b of x such that f(a) and f(b) are of opposite signs. Then the first approximation to the root is

x1 = Then find f(x1) and continue the same procedure.

Problem

Using Regula -Falsi method, compute a real root of the equation 2x- logx = 6 correct to 3 decimal places

Solution

Given equation is 2x- logx – 6 =0

Let f(x) = 2x- logx – 6

Then f(1)= - 5

f(2)= -2.3010

f(3)= -0.47712 , f(4)= 1.39794

Therefore f(3) is -ve and f(4) is +ve.

Root lies in (3,4)

x1 = == 3.25445

f( x1) = -0.00356

x2 = 3.25634

f( x2) = -0.00004

Root lies between 1 and 1.25.

x3 = =3.2563

required root is x3 =3.2563

Homework

1.Find the root of the equation x ex = 2 using the Regula-Falsi method correct to 4 decimal places

III NEWTON'S METHOD OR NEWTON -RAPHSON METHOD OR N-R METHOD

Given an approximate value of a root of a n equation a better approximation can be found by using this method. Let α 0 be an approximate value of a root of the equation f(x) = 0. and let α0 be the exact root near to α0.Then α 0 =α0 +h where h is very small +ve or -ve.

Then f(α0) = f(α0 +h)

= f(α0 )+hf '(α0 )+h2/2! f ''(α0 )+...... = 0, by Taylors series expansion.

I.e; f(α0 )+hf '(α0 ) =0 ,neglecting h2,h3, ......

Therefore = h = - [f(α0 )/f '(α0 )]

Therefore α0 = α0 -[f(α0 ) / f '(α0 )]

Let this value be α1.

Therefore α1 = α0 -[f(α0 ) / f '(α0 )]

α1 is a better approximate root than α0 Starting with thisα1 , we get,α2 = α1 -[f(α1 ) / f '(α1)],which is still better.

Continuing like this we get, αr+1 = αr -[f(αr ) / f '(αr)] , r = 0,1,2,3......

This is the iterative formula of N-R method.

Problem

Find the iterative formula to find (Where N is a +ve number) and hence find

Solution

Let x =

Therefore x2 = N

that is x2-N = 0

Let f(x) = x2-N

Then the iterative formula in N-R method is,

αr+1 = αr -[f(αr ) / f '(αr)] ,

= αr - αr2 – N

2 αr

=αr + N

2 αr

That is αr+1 = 1/2(αr+N/αr) is the iterative formula to find

Now to find

Put N= 5

Then f(x) becomes, x2-5

Then f(1) = - 4

f(2)= -1

f(3) = 4

Therefore let α0 = 2

And, the iterative formula becomes,

αr+1 = 1/2(αr+5/αr)

Therefore α1 = 1/2(α0+5/α0) =2.25

α2 = 1/2(2.25+5/2.25) =2.236111

α3 = 1/2(2.236111+5/2.236111) =2.23606798

α4 = 1/2(2.23606798+5/2.23606798) =2.23606798

Hence the approximate value of -=2.23606798

Home work

Find a root of the equation 2e-x = sin X correct to 4 decimal places by Newton-Raphsion method

B.ITERATIVE METHODS OF SOLVING SIMULTANEOUS LINEAR EQUATIONS

(I)GAUSS JACOB'S METHOD

consider the system of equations

a1x+b1y+c1z = d1

a2x+b2y+c2z = d2

a3x+b3y+c3z = d3 ...... (1)

Solving for x,y,z respectively, we get,

x = 1/a1[d1- b1y-c1z ]

y = 1/b2[d2- a2x-c2z ]

z = 1/c3[d3- a3x - b3y ]...... (2)

Let (x0,y0,z0) be the initial approximations to the unknowns x,y,z. Substituting these on RHS of (2), the first approximations are given by

x1 = 1/a1[d1- b1y0-c1z0 ]

y1 = 1/b2[d2- a2x0-c2z0 ]

z1 = 1/c3[d3- a3x0 - b3y0 ]

Substituting these values of (x1,y1,z1) in the R.H.S of (2) the second approximations are given by ,

x2 = 1/a1[d1- b1y1-c1z1 ]

y2 = 1/b2[d2- a2x1-c2z1 ]

z2 = 1/c3[d3- a3x1- b3y1]

Proceeding in the same way if (xr,yr,zr) are the r th literates then,

x r+1= 1/a1[d1- b1yr-c1zr ]

y r+1= 1/b2[d2- a2xr-c2zr ]

zr+1 = 1/c3[d3- a3xr- b3yr]

Note:-

In the given system of equations |a1| must be larger as compared to |b1| and |c1|; |b2|>|a2| and |c2|;|c3|>|a3| and |b3|. That is, the diagonal elements should be large when compared to others.

Problems

  1. Solve 20x+y-2z = 17, 3x + 20y -z = -18, 2x-3y+20z = 25

Solution

The given system can be written as,

x = 1/20[17- y + 2z ]

y = 1/20[-18- 3x+ z ]

z = 1/20[25- 2x + 3y]...... (1)

Take the initial approximation as,x0=y0=z0 =0

Then from (1) Ist iteration,

x1 = 1/20[17] = 0.85

y1 = 1/20[-18] = - 0.9

z1 = 1/20[25]= 1.25

Again putting these values on the RHS of (1)

2nd iteration

x2 = 1/20[17+0.9 + 2 *1.25 ] = 1.02

y2 = 1/20[-18- 3*0.85+ 1.25] = -0.965

z2 = 1/20[25- 2*0.85 + 3*-0.9].= 1.1515

Thus ( x2, y2, z2 ) = ( 1.02,-0.965, 1.1515

Third iteration

x3 = 1/20[17-0.965 + 2 *1.1515] = 1.0134

y3= 1/20[-18- 3*1.02+ 1.1515 ] = -0.9954

z3 = 1/20[25- 2*1.02+ 3*-0.965].=1.0032

Thus ( x3, y3, z3 ) = (1.0134,-0.9954, 1.0032)

Forth iteration

x4 = 1/20[17- 0.9954 + 2 *1.0032] = 1.0009

y4= 1/20[-18- 3*1.0134+ 1.0032] = -1.0018

z4 = 1/20[25- 2*1.0134+ 3*-0.9954].=0.9993

Thus ( x4 y4, z4 ) = (1.0009,-1.0018, 0.9993)

Fifth iteration

x5 = 1/20[17-1.0018 + 2 *0.9993] = 1.000

y5= 1/20[-18- 3*1.0009+ 0.9993] = -1.0002

z5 = 1/20[25- 2*1.0009+ 3*-1.0018].=0.9996

Thus ( x5 y5, z5 ) = (1.000,-1.0002, 0.9996)

Since the second and third iterations are practically equal.

Therefore we can take the solution as ( x5 y5, z5 ) = (1,-1,1)

That is required solution (x,y,z) = (1,-1,1)

Homework

Solve the system using Jacob's method

5x – y + z = 10

2x+4y = 12

x+y+5z = -1.Start with the solution (2,3,0)

(ii)Gauss -Seidel Iteration method (Modification of Gauss-Jacob's method)

This method is similar to Jacob's method. The only difference is, as soon as a new approximation for an unknown is found , it is immediately used in the next step.

Problem 1

1. Solve 20x+y-2z = 17, 3x + 20y -z = -18, 2x-3y+20z = 25 using Gauss -Seidel method

Solution

The given system can be written as,

x = 1/20[17- y + 2z ]

y = 1/20[-18- 3x+ z ]

z = 1/20[25- 2x + 3y]...... (1)

Take the initial approximation as,x0=y0=z0 =0

Then from (1) Ist iteration,

x1 = 1/20[17] = 0.85

y1 = 1/20[-18- 3*0.85] = - 1.0275

z1 = 1/20[25- 3*0.85 -1.0275]= 1.0109...... (1)

Thus ( x1, y1, z1 ) = (0.85,,- 1.0275,,1.0109)

Second iteration

x2 = 1/20[17+1.0275 + 2 *1.0109 ] = 1.0025

y2 = 1/20[-18- 3*1.0025+1.0109] = -0.9998

z2 = 1/20[25- 2*1.0025 + 3*-0.9998].= 0.9998

Thus ( x2, y2, z2 ) = (1.0025,-0.9998, 0.9998)

Third iteration

x3 = 1/20[17+0.9998 + 2 *0.9998 ] = 1.0000

y3= 1/20[-18- 3*1+0.9998 ] = -1.000

z3 = 1/20[25- 2*1.0000+ 3*-1.000].=1.000

Thus ( x3, y3, z3 ) = (1.0000,-1.000, 1.000)

Since the second and third iterations are practically equal.

Homework

Solve the system using Gauss Seidel method

10x1 – 2x2 – x3 – x4 = 3

-2x1 +10x2 – x3 – x4 = 15

-x1 - x2 – 2x3 + 10 x4 = -9

-x1 - x2 +10x3 - 2 x4 = 27

********************************