GATE EXAM : RING THEORY NOTES (GATE 2023)
Engineering Mathematics is an important subject in the GATE 2023 Exam, The mathematics in the GATE exam has 13% weight, and it is easy to get all 13% marks with proper GATE Mathematics Study Materials. These 13% marks will make your GATE qualification easy. But you don’t get good study materials for GATE Maths. Here we come for the rescue. We provide one of the best study materials for GATE 2023 mathematics for all branches or papers.
Read more https://www.mathscare.com/blog/gate-exam-2023/
Table of Content |
Must Read: GATE 2023 Brochure
Ring Structure & Properties
A non-empty set R, together with two binary composition + and is said to form a ring if the following axioms are satisfied :
(i) a + b ∈ R and a.b ∈ R whenever a,b ∈ R.
(ii) (a + b) + c = a + (b + c) for all a, b, c ∈ R
(iii) a + b = b + a for a, b ∈ R
(iv) ∃ some element 0 (called zero) in R s.t. a + 0 = 0 + a = a for all a ∈ R
(v) For each a ∈ R, ∃ an element (-a) ∈ R s.t. a + (-a) = 0 = (-a) + a
(vi) a . (b . c) = (a . b) . c for all a, b, c ∈ R
(vii) a . (b + c) = a.b + a.c
b + c) . a = b.a + c.a for all a, b, c ∈ R
i.e. (R, +) is abelian group and (R, .) is semi group.
Unity
Multiplication identity in any ring is called unity. If ∃ e ∈ R with a ∈ R, a.e = e.a = a then e is said to be as unity of ring and it is denoted by 1.
Unit
Let (R, +, .) be any ring and a Î R then a is said to be unit element of R, if ∃ b ∈ R a.b = b.a = 1
Zero divisor
Let R be a ring and 0 ≠ a ∈ R then a is said to be zero divisor if ∃ 0 ≠ b ∈ R s.t.a.b = 0 = b.a
Integral Domain
A commutative ring with unity without zero divisors is called an integral domain.
Characteristic of a ring
The smallest positive integer n is said to be characteristic of a ring R
If na = 0 for all a ∈ R i.e. if a + a + a ….. + a = 0 (n-times)
If no such positive integer exist then characteristic of R is 0 and it is denoted by 0.
Subring
Let (R, +, .) be a ring.
Then a non-empty subset S of R is called a subring of R if (S, +,.) is a ring itself.
SubringTest:
Let S≠Φ and S⊆R,
then S is subring of R if and only if
(i) ab ∈ S a, b ∈ S
(ii) a – b ∈ S for all a, b ∈ S
Ideal
- Left Ideal : Let R be a ring and I be a subring of R, then I is said to be left ideal of R if for each r ∈ R and a ∈ I we have ra ∈ I.
- Right Ideal : Let R be a ring and I be a subring of R, then I is said to be right ideal of R.
If for each a ∈ I, r ∈ R we have ar ∈ I.
- Ideal : A subring I of a ring R is said to be ideal. If I is both left ideal and right ideal.
- IdealTest: A non- empty subset A of a ring R is an ideal of R if
(i) a – b ∈ A whenever a,b ∈ A.
(ii) ra&ar ∈ A whenever, a ∈A & r ∈ R.
Maximal Ideal
An ideal M in a ring R is called maximal ideal of R if M ≠ R and if ∃ ideal U of R such that M⊆U⊆R. Then either M=U or U = R.
Prime Ideal :
Let R be a commutative ring. An ideal P is called a prime ideal if P≠R and whenever ab ∈ P then either a ∈ P or b ∈ P.
Results:
- pZ x Z = {(px, y) | x,y ∈ Z} is maximal ideal and prime ideal of ZxZ where p is prime.
- {(0, 0),(0,x 1)} and {(0, 0), (1, 0)} are the maximal ideals and prime ideals of Z2 x Z2.
Ring Homomorphism
Let (R, +, .) & (R’, ⊕, Θ) two rings then a map :R → R’ is defined as ring homomorphism if
(i) Φ(a+b) = Φ(a) ⊕ Φ(b); for all a,b ∈ R
(ii) Φ(a.b) = Φ(a) Θ Φ(b); for all a,b ∈ R
Kernel of Homomorphism:
- Let Φ be a homomorphism from a ring R to a ring R’.
- Then ker Φ is defined as: ker Φ = {r ∈ R | Φ(r) = 0}
Properties :
- kerΦ = {0} if and only if Φ is one – one .
- kerΦ is an ideal in R.
Ring of Polynomials
Let R be a ring, then the set R[x]={anxn+ an-1xn-1….+a1x+a0: ai ∈ R,
n ∈ N U {0}} forms a ring with respect to addition and multiplication of polynomials.
Degree of a Polynomial :
- Let f(x) = a0 + a1x + …… + anxn ∈ R[x], we say that f(x) is a non-zero polynomial if atleast one of the coefficients a0,a1, ….,an. is non-zero, then we say that f(x) has degree nifan≠0.
- We write it as deg f(x) = n or deg (f) = n.
Irreducibility Tests
(i) If a polynomial f(x) is of degree >1 and f(a)= 0 for some a ∈ F. Then f(x) is reducible over F where F is a field
Reducibility Test for degree 2 and 3:
Let F be a field if f(x) ∈ F[x]and degf(x)=2 or 3. then f(x) is reducible over F if and only if f(x) has a zero in F.
Let p be a prime and suppose that f(x) ∈ Z[x] with degf ≥ 1.
Let f(x) be the polynomial in Zp[x] obtained from f(x) by reducing all the coefficientsof f(x) modulopiff(x)is irreducible over Zp
and degf(x)=degfp(x)then f(x) is irreducible over Q.
Eisenstein’s Criterion:
Let f(x)=anxn + an-1xn-1 + ….. + a0 ∈ Z[x].
If ∃a prime p such that p|a0.p|a2,….p|an-1and p2∤ a0, p ∤ an, then f(x) is irreducible over Q.
Example:- f(x) = 3 + 6x + 12x2 + x3 ∈ Z[x] is irreducible over Q.
Sol. p = 3
Here 3 | 3, 3 | 6, 3 | 12 but 3 ∤ 1 and 32∤ 3
Then f(x) is irreducible over Q.
Principal Ideal Domain
An integral domain R is said to be principal ideal domain if each ideal I of R is P.I.
i.e. I = <a> = {ar | r ∈ R}
(i) every field is P.I.D. but conversely need not be true.
Example : Q[x]
(ii) Zp[x] is P.I.D. if p-prime.
(iii) Z[x] is not P.I.D. (∃, I =<2, x> which is not PI
Euclidean Domain
Let R be an integral domain if ∃ a norm on R s.t.
(i) N(a.b) ≥ N(a) for all a, b ≠ 0 ∈ R
(ii) For any a, 0≠b∈R ∃ q, r ∈Rs.t.a = bq + r, r = 0 or N(r) <N(b) then R is said to be Euclidean domain.
Example:- (i) Every field is E.D.
(ii) Z, Z[i] & Z[√2] are E.D.
Unique Factoriation Domain (UFD)
An I.D. is called UFD if it satisfy the properties.
- Each non-zero element of R is either unit or can be expressed as a product of finite number of irreducible element of R.
Example :- (i) Z[x] is UFD.
(ii) Every field is UFD.
Thank you for reading, to gain more information about GATE 2023 and learn mathematics and general aptitude from Dr. Gajendra Purohit Sir visit – https://www.youtube.com/c/DrGajendraPurohitMathematics
And for university courses, blogs, quizzes and ask doubts from sir visit – https://www.mathscare.com/
Tag:basis and dimension, basis and dimension of a vector space, linear transformation definition, linear transformation examples solution, linear transformation in linear algebra, linear transformation in vector space, linear transformation matrix, linear transformation of matrix, vector spaces and subspace, vector spaces and subspaces solved example