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WELCOME TO THE
PRESENTATION
A SHORT STUDY OF GALOIS FIELD
Course Title: 4th Year Honors Project
Course Number: MTH 490
Presented By
Exam Roll Number: 2011
Reg. Number: H-1468
Admission Session: 2008-2009
OBJECTIVES:
 To discuss the preliminaries of the project
 Introduction of Galois Field
 Examples of Galois Field
 To discuss the related theorems of Galois Field
 Computational approach of Galois Field
 Applications of Galois Field
PRELIMINARIES
 Set
 Relation
 Function
 Binary operation
 Group and related definitions
 Ring and related definitions
 Field and characteristic of field
SET:
A set is a well-defined collection of distinct objects. The
objects that make up a set (also known as the elements or
members of a set) can be anything: numbers, people, letters
of the alphabet and so on.
GROUP:
A non-empty set G is said to be a group in G there is defined
an operation “*” such that the following axioms are satisfied:
 Closure property
 Associative law
 Existence of the identity element
 Existence of the inverse of each element
GALOIS FIELD
 Finite field
 Definition of Galois field
 example and theorem
 Galois field is cyclic
 Characteristic of Galois field
FINITE FIELD:
A field having only a finite number of elements is called a
finite field. Simply, a Galois field is a special case of finite
field.
GALOIS FIELD:
Galois Field :
A field in which the number of elements is of the form pn
where p is a prime and n is a positive integer, is called a
Galois field, such a field is denoted by GF (pn).
Example: GF (31) = {0, 1, 2} for ( mod 3) form a finite field of
order 3
DESCRIPTION OF THE EXAMPLE:
For GF-3.The elements are 0, 1 and 2. The multiplication
table is:
Table of reciprocals :
* 1 2
1 1 2
2 2 1
1 2
1 2
THE ADDITION TABLE IS:
The additive identity is 0
The additive inverse of 0 is 0
The additive inverse of 1 is 2
The additive inverse of 2 is 1
Here,GF-3 satisfied all the properties of Galois Field. So GF-3 is a Galois
Field of order 3.
+ 0 1 2
0 0 1 2
1 1 2 0
2 2 0 1
THEOREMS OF GALOIS FIELD:
 The multiplicative group of GF ( pn ) is cyclic, Where p is a
prime number and n is an integer.
 GF(pn)has a subfield 𝐹′ with pm elements if and only if m|n .
Moreover,𝐹′ is unique.
 Let F be a finite field. Then the number of elements of F is pn for
some positive integer n.
THEOREMS OF GALOIS FIELD:
 Let F be a finite field with pn elements and let α ∈ F. Then there exist
elements μ and ν in F such that α= μ 2+ ν2
 Each element of a finite field with elements satisfies the equation
𝑥 𝑝 𝑛
= x.
COMPUTATIONAL APPROACH OF GALOIS
FIELD
 Verification of sum of two squares theorem of last chapter
 Some examples of Galois field
 Finite field arithmetic (Addition & subtraction)
 Primitive Polynomial
 Application
VERIFICATION:
Here I have verified the theorem α = μ 2+ ν2 , where α, μ, ν ∈ F and F is a Field of pn elements. I
verified this theorem by FORTRAN programming language.
I verified the theorem for p =11, n = 1, i.e. for Galois field GF (11).
𝑍11 = {0, 1,2,3,4,5,……..9,10 } is a field. Thus we may consider GF(11) = 𝑍11. We can easily check
that every element of 𝑍11 satisfy the polynomial 𝑥11
-x  𝑍11 by using FORTRAN programming
language, where every αGF(11) and µ, ν  GF(11).
SOLUTION BY FORTRAN:
DIMENSION MAT (100)
INTRGER MAT, K1, CAL, REM
WRITE (*,*)’ENTER A PRIME NUMBER:’
READ (*,*) K1
DO 4 I=K1, 1
MAT (I) =I-1
4 CONTINUE
WRITE (*,*)’REQUIRED ROOTS ARE IN 𝑍 𝑃 :’
WRITE (*,*) (MAT (I), I=1, K1, 1)
WRITE (*,*)’
WRITE (*,*)’EVERY ROOT CAN BE EXPRESSED AS:’
DO 1 I=1, K1, 1
DO 2 J=I, K1, 1
DO 3 K=J, K1, 1
CAL= (MAT (J) **2) + (MAT (K) **2)
REM=MOD (CAL, K1)
IF (MAT (I).EQ.REM) THEN
WRITE (6, 5) MAT (I), MAT (J), MAT (K)
5 FORMAT(1X,I2,’=’,I2,’^2+’,I2,’^2’)
GO TO 1
END IF
3 CONTINUE
2 CONTINUE
1 CONTINUE
STOP
END
OUTPUT OF THE PROGRAM:
Input: The Prime Number 11
Output: Required Roots are in 𝑍 𝑃 is
0 1 2 3 4 5 6 7 8 9 10
Every Root Can be expressed as:
0 = 02 + 02 1 = 02 + 12 2 = 12 + 12
3 = 02 + 42 4 = 02 + 22 5 = 12 + 22
6 = 32 + 62 7 = 22 + 42 8 = 22 + 22
9 = 02 + 32 10 = 12+ 32
Since it is possible to write α=µ2 +𝜐2 where α, µ,𝜐  𝑍11 then we conclude that every root can be
expressed as the sum of two squares.
REFERENCES:
 Hiram Palely and Paul M. Weichsel: “A First Course in Abstract Algebra” New York, Holt, 1996.
 R. S. Aggarwal: A text book on modern algebra
 Mary Gray: “A radical approach to algebra”, Addison-Wesley publishing Co. London, 1970.
 Professor Abdur Rahman : “ Abstract Algebra ”,Dhaka,1995.
 Bhattacharya, P.B. adds Jain, S.K., and Naipaul: “A first course in rings, fields and vector spaces,
Halsted Press, New York, 1977.
 www.mathworld.wolfarm.com
 https://www.wikipedia.org/
 http://www.wikihow.com/Main-Page
 http://stackoverflow.com/
 www.andrew.edu
 www.encyclopedia.com
THANK YOU

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Galois field

  • 2. A SHORT STUDY OF GALOIS FIELD Course Title: 4th Year Honors Project Course Number: MTH 490 Presented By Exam Roll Number: 2011 Reg. Number: H-1468 Admission Session: 2008-2009
  • 3. OBJECTIVES:  To discuss the preliminaries of the project  Introduction of Galois Field  Examples of Galois Field  To discuss the related theorems of Galois Field  Computational approach of Galois Field  Applications of Galois Field
  • 4. PRELIMINARIES  Set  Relation  Function  Binary operation  Group and related definitions  Ring and related definitions  Field and characteristic of field
  • 5. SET: A set is a well-defined collection of distinct objects. The objects that make up a set (also known as the elements or members of a set) can be anything: numbers, people, letters of the alphabet and so on.
  • 6. GROUP: A non-empty set G is said to be a group in G there is defined an operation “*” such that the following axioms are satisfied:  Closure property  Associative law  Existence of the identity element  Existence of the inverse of each element
  • 7. GALOIS FIELD  Finite field  Definition of Galois field  example and theorem  Galois field is cyclic  Characteristic of Galois field
  • 8. FINITE FIELD: A field having only a finite number of elements is called a finite field. Simply, a Galois field is a special case of finite field.
  • 9. GALOIS FIELD: Galois Field : A field in which the number of elements is of the form pn where p is a prime and n is a positive integer, is called a Galois field, such a field is denoted by GF (pn). Example: GF (31) = {0, 1, 2} for ( mod 3) form a finite field of order 3
  • 10. DESCRIPTION OF THE EXAMPLE: For GF-3.The elements are 0, 1 and 2. The multiplication table is: Table of reciprocals : * 1 2 1 1 2 2 2 1 1 2 1 2
  • 11. THE ADDITION TABLE IS: The additive identity is 0 The additive inverse of 0 is 0 The additive inverse of 1 is 2 The additive inverse of 2 is 1 Here,GF-3 satisfied all the properties of Galois Field. So GF-3 is a Galois Field of order 3. + 0 1 2 0 0 1 2 1 1 2 0 2 2 0 1
  • 12. THEOREMS OF GALOIS FIELD:  The multiplicative group of GF ( pn ) is cyclic, Where p is a prime number and n is an integer.  GF(pn)has a subfield 𝐹′ with pm elements if and only if m|n . Moreover,𝐹′ is unique.  Let F be a finite field. Then the number of elements of F is pn for some positive integer n.
  • 13. THEOREMS OF GALOIS FIELD:  Let F be a finite field with pn elements and let α ∈ F. Then there exist elements μ and ν in F such that α= μ 2+ ν2  Each element of a finite field with elements satisfies the equation 𝑥 𝑝 𝑛 = x.
  • 14. COMPUTATIONAL APPROACH OF GALOIS FIELD  Verification of sum of two squares theorem of last chapter  Some examples of Galois field  Finite field arithmetic (Addition & subtraction)  Primitive Polynomial  Application
  • 15. VERIFICATION: Here I have verified the theorem α = μ 2+ ν2 , where α, μ, ν ∈ F and F is a Field of pn elements. I verified this theorem by FORTRAN programming language. I verified the theorem for p =11, n = 1, i.e. for Galois field GF (11). 𝑍11 = {0, 1,2,3,4,5,……..9,10 } is a field. Thus we may consider GF(11) = 𝑍11. We can easily check that every element of 𝑍11 satisfy the polynomial 𝑥11 -x  𝑍11 by using FORTRAN programming language, where every αGF(11) and µ, ν  GF(11).
  • 16. SOLUTION BY FORTRAN: DIMENSION MAT (100) INTRGER MAT, K1, CAL, REM WRITE (*,*)’ENTER A PRIME NUMBER:’ READ (*,*) K1 DO 4 I=K1, 1 MAT (I) =I-1 4 CONTINUE WRITE (*,*)’REQUIRED ROOTS ARE IN 𝑍 𝑃 :’ WRITE (*,*) (MAT (I), I=1, K1, 1) WRITE (*,*)’ WRITE (*,*)’EVERY ROOT CAN BE EXPRESSED AS:’
  • 17. DO 1 I=1, K1, 1 DO 2 J=I, K1, 1 DO 3 K=J, K1, 1 CAL= (MAT (J) **2) + (MAT (K) **2) REM=MOD (CAL, K1) IF (MAT (I).EQ.REM) THEN WRITE (6, 5) MAT (I), MAT (J), MAT (K) 5 FORMAT(1X,I2,’=’,I2,’^2+’,I2,’^2’) GO TO 1 END IF 3 CONTINUE 2 CONTINUE 1 CONTINUE STOP END
  • 18. OUTPUT OF THE PROGRAM: Input: The Prime Number 11 Output: Required Roots are in 𝑍 𝑃 is 0 1 2 3 4 5 6 7 8 9 10 Every Root Can be expressed as: 0 = 02 + 02 1 = 02 + 12 2 = 12 + 12 3 = 02 + 42 4 = 02 + 22 5 = 12 + 22 6 = 32 + 62 7 = 22 + 42 8 = 22 + 22 9 = 02 + 32 10 = 12+ 32 Since it is possible to write α=µ2 +𝜐2 where α, µ,𝜐  𝑍11 then we conclude that every root can be expressed as the sum of two squares.
  • 19. REFERENCES:  Hiram Palely and Paul M. Weichsel: “A First Course in Abstract Algebra” New York, Holt, 1996.  R. S. Aggarwal: A text book on modern algebra  Mary Gray: “A radical approach to algebra”, Addison-Wesley publishing Co. London, 1970.  Professor Abdur Rahman : “ Abstract Algebra ”,Dhaka,1995.  Bhattacharya, P.B. adds Jain, S.K., and Naipaul: “A first course in rings, fields and vector spaces, Halsted Press, New York, 1977.  www.mathworld.wolfarm.com  https://www.wikipedia.org/  http://www.wikihow.com/Main-Page  http://stackoverflow.com/  www.andrew.edu  www.encyclopedia.com