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Math Hons/P.G. Syllabus of
West Bengal School Service Commission Math
Hons/P.G.
Math Pass Other
Subjects If this website helps you in any way email
at sscmath10@gmail.com Click Here to Download PDF file of the WBSSC Math Hons Syllabus Syllabus of
Mathematics (Hons) for West Bengal School Service
Commission Examination: A. CLASSICAL ALGEBRA: 1. Integers: Statement of well ordering
Principle, first and second principles of mathematical induction. Proofs of
some simple mathematical results by induction. Divisibility of integers. The
division algorithm. The greatest common divisor of two integers a and b – its existence and uniqueness. Relatively prime
integers. Prime integers. Euclid’s first theorem; if some prime p divides ab, them p divides a or b. Euclid’s second theorem: there are infinitely many
prime integers. Unique factorization theorem. 2. Complex numbers: Definition on the
basis of ordered paris. Algebra of complex numbers,
Modulus, Amplitudes, Argand Diagram, De-Moivre’s theorem and its applications, Exponential, Sine,
Cosine and Logarithm of a complex number. Definition of az
( a ≠ 0), Inverse Circular and Hyperbolic
functions. 3. Polynomials with real co-efficeints: Fundamental theorem of classical algebra
(statement only). The nth degree Polynomial equation has exactly n roots.
Nature of roots of an equation (Surd and imaginary) roots occur in pairs).
Statement of Decartes rule of signs and its
applications. Multiple roots. Relation between roots and coefficients.
Symmetric functions of roots. Transformation of equations. Reciprocal
equations. Cardan’s method of solving a cubic
equation. Ferrari’s method of solving a bi-quadratic equation. 4. Inequalities: A. M. ≥ G.M. ≥ H.M. and Cauchy’s
inequality – their simple and direct applications. B. MODERN ALGEBRA 1. Basic Concepts: Sets, subsets,
equality of sets, operations on sets –Union, Intersection, Complements and
Symmetric difference. Properties including De-Morgan’s laws. Cartesian
products, Binary relation from a set to a set (domain, range, Examples from R
x R). Equivalence relation. Fundamental thereon on Equivalence relation.
Partition, Relation of partial order. Congruence relation modulo n is an
equivalence relation.. Congruence classes. Mapping Inijection, Surjection and Bijection.
Inverse and Identity mapping. Composition of mappings and its associativity. 2. Introduction of Group Theory: Groupoid, Semi-group, Monoid, Group definition with both sided identity and
inverses. Examples of finite and infinite groups taken from various branches.
Additive (multiplicative) group of integers modulo an integer (resp. a
prime). Klein’s 4 group Integral powers of an element and laws of indices in
a group. Order a group and order of an element of a group. Subgroups. Nec. And Suff. Condition for a subset of a group to be
subgroup. Intersection and Union of two subgroups. Cosets
and Lgrange’s theorem. Cyclic groups –definition,
examples and subgroups of cyclic groups. Generators Permutations. Cycle.
Transposition. Even odd permutations. Symmetric group. Definition and order
of Alternating subgroup. Normal subgroups of a group -- Definition, examples
and characterizations. Quotient group of a group by a normal subgroup.
Homomorphism and Isomorphism of groups. Kernel of homomorphism. Fundamental
theorem of homomorphism. An infinite cyclic group is isomorphic to (z, +) and
a finite cyclic group of order n is isomorphic to the group or residue
classes modulo n. 3. Introduction to rigns
and fields: Ring-definition and example. Ring of integers modulo n.
Properties directly following from the definition. Integral domain and
Field-Definitions and examples. Sub-ring sub-field & characteristic of a
ring. C. MATRIX THEORY AND LINEAR ALGEBRA: 1. Matrices of Real and Complex Numbers:
Definition, examples, equality, addition, multiplication of matrices,
Transpose of a matrix, Symmetric and Skew-symmetric matrices. 2. Determinants: Definition of a determinant of a square
matrix, Basic properties, Minors and Cofactors, equations by Cramer’s rule.
Problems of determinants up to order 3. 3. Rank of a Matrix: Adjoint
of a square matrix. For a square matrix A of order n, A. Adj. A – Adj A. A = det A. Singular,
non-singular and invertible matrices. Elementary operations. Rank of matrix
and its determination. Normal forms: Elementary matrices; The normal form
equivalence of matrices. Congruence of Matrices. Diagonalisation
of matrices. Real quadratic from involving three variable.
Reduction to Normal form. 4. Vector/ Linear Space Over a Field:
Definition and example of vector space. Subspace. Union, Intersection and sum
of vector spaces. Linear span. Generators and basis of a vector spaces.
Formation of basis from linearly independent subset. Special emphasis of
R. 5. Row-space and column-space of a
matrix: Definitions of
row-space and column-space of a matrix. Row rank, column rank and Rank of a
matrix. 6. System of Linear Equations: Solution
space of a homogeneous system as a subspace. Condition for the existence of
non-trivial solution of a system of linear homogeneous equations. Necessary
and sufficient conditions for the consistency of a system of non-homogeneous
equations. Solution of system of equations by matrix method. 7. Linear Transformation on Vector Spaces:
Definition of linear transformation. Null space, Range space, Rank and
Nullity of linear transformation. Sylvester’s law of Nullity. (Inverse of
linear transformation relative to ordered bases of finite dimensional vector
spaces.) 8. Inner product space: Definition and
examples. Norm. Euclidean Vector space – Triangle inequality and Cauchy –
Schwarz inequality in Euclidean vector space. Orthogonality
of vectors. Orthonormal basis. Gram-Schmidt process
of Orthonormalization. 9. Eigen
value and Eigen vector, Characteristics equation of a square matrix. Caley-Hamilton’s Theorem. Simple properties of Eigen
values and Eigen vectors. II. REAL ANALYSIS 1. Real-Number: Geometric representation
and Cantor, Dedekind Axiom. Salient properties taken as axioms Bounded set.
Least upper bound axioms. Archimedean property. Decimal representation of
real numbers. 2. Points Sets in R1 and R2: Elementary
properties and union of atmost denumerable sets. Denumberability of rational numbers and non-denumberability of real numbers and of an interval. Neighbourhood of a point, interior point, of linear point
set, open and closed sets, limit point of a set in
R1 and R2 concepts and simple properties. Union, intersection and complement
of open and closed sets and Bolzano-Weiestrass
theorem in R1. Covering by open intervals of linear point set, Lindeloff covering theorem and Heine Borel
theorem (statements only) and compact sets in R1. 3. Real-valued functions defined on
intervals: Bounded and monotonic functions. Limits, Algebra of limits.
Sandwich rule, condition for the existence of a finite limit. Important
limits like. sinx/x ,
Log(l +x)/x, (ex – 1)/x as x → 0 etc. 4. Sequence of Points in One Dimension:
Bounds, limits, convergence and divergence. Operation on limits. Sandwich rule.
Monotone sequence. Nested interval therem. Cauchy’s
General Principle of convergence. Cauchy sequence, Limits of important sequence. Definition of e.
Cauchy’s first and second limit theorem. Subsequence. 5. Infinite Series of Constant Terms: Convergene and divergene. Cauchy’s
criterion. Abel-Pringsheim’s Test. Tests
(Comparison test, Root Test) convergence of series of non-negative terms.
Series of arbitrary terms. Absolutely convergent and conditionally convergent
series. Alternative series. Leibnitz test. Root and Ratio Tests. Non-absolute
convergence --- Abel’s and Dirichlet’s tests
(statement and applications) 6. Continuity of a function at a point and
on an interval: Continuity of some standard functions, continuity of
composite functions. Piecewise continuous functions. Uniform continuity.
Discontinuities of different kinds. Properties of continuous functions on a
closed interval. Existence of inverse functions of a strictly monotone
function and its continuity. 7. Concept of Differentiability and
differential: Chain rule. Sign of derivative. Successive derivatives.
Leibnitz theorem. Theorms on Derivatives
: Darbox theorem, Rolle’s
theorem. Mean value theorems of Lagrange and Cauchy. Taylor’s theorem. Maclaurin’s series. Expansion of ex, ax,
a > 0, log (l+x), (l+x)m, Sinx, Cosx etc. with their respective ranges of validity. 8. Indeterminate forms: L Hospital’s
rule and its consequences. 9. Maxima and Minima: Points of local extremum of a functions in an
interval. Sufficient condition for the existence of a local miximum/minimum of a function at a point. Applications in
Geometrical and Physical problems. 10. Tangents and Normals:
Pedal equation, Peadal of a curve, Rectilinear Asympotes (Cartesian and parametric form). Curvature-
radius and centre of curvature. Chord of curvature. Curve-Tracing
(familiarity with well-known curves) 11. Indefinite and Suitable Corresponding
Definite integrals for the functions, sinmx,
cosnx, sinmx,/cosmx , tannx,
secnx etc. (lcosx + m sin x )/pcos+qsinx , 1/(a+cosx)2 ,
1/(x2 +a2)n ; l, m, p, q, n are positive
integers 12. Area enclosed by a curve, length of a curve. 13. Sequence of functions: Pointwise and uniform convergence. Cauchy’s criterion of
uniform convergence. Limit function: Boundness,
Repeated limits, continuity and differentiability. 14. Series of functions: Pointwise and uniform convergence. Tests of convergence
statements of Abel’s and Dirichlet’s tests and
their applications. Passage to the limit term-by-term; boundedness,
continuity, integrability and differentiability of
a series of functions in case of uniform convergence. 15. Power Series: Radius of convergence
of its existence, Cauchy Hadamard theorem. Uniform
and absolute convergence. Properties of sum function. Abet’s
limit theorems. Uniqueness of P. S. having the same sum function,
Exponential. Logarithm and trigonometric functions defined by power series
and deduction of their salient properties. 16. Riemann integration: Upper sum and
lower sum. Upper and lower integral. Refinement of partitions and associated
results. Darboux theorem. Necessary and sufficient
condition of integrability. Integrability
of sum, product, quotient and modulus. Integral on the limit of a sum. Integrability monotone function, continuous function and
piece wise continuous function. Primitive, properties of definite integral,Fundamental theorem of
integral calculus First and second mean-value theorem of integral calculus
(statements and applications only). 17. Improper Integrants: Tests of convergene :
comparison and r-test (statement only). Absolute and non-absolute
convergence-corresponding test (statement only). Working knowledge of Beta
and Gamma functions and their interrelations. 18. Functions of two variable:
Limit, continuity, partial derivatives. Functions on R2 differentiability,
differential. Chain rule. Euler’s theorem, commutativity
of partial derivatives statement of Schwarz and Young theorems. III. DIFFERENTIAL EQUATIONS 1. Significance of ordinary differential
Equations: Geometrical and physical consideration. Formation of
differential equation by elimination of arbitrary constants. Meaning of the
solution of ordinary differential equation. Concepts of linear and non-linear
differential equations. 2. Equations of first order and first
degree: Statement of existence theorem. Separable, homogeneous and exact
equations, condition of exactness, integrating factor. Equations reducible to
first order linear equations. 3. First order linear equations:
Integrating factor. Equations reducible to first order linear
equations. 4. Equations of first order but not of first
Degree: Clairaut’s equation, singular
solution. 5. Applications: Geometric applications,
Orthogonal trajectories. 6. Higher order linear equations with
constant coefficients: Complementary function. Particulars integral,
Symbolic operator. D. Method of variation of parameters. Euler Equations –
reduction to an equation of constant coefficients. IV. ANALYTICAL GEOMETRY OF TWO AND THREE DIMENSIONS A. TWO DIMENSIONS 1. Transformations of rectangular Axes:
Translation, Rotation and their combinations. Theory of Invariants. 2. General
Equations of Second Degree in two variables: Reduction to canon. 3. Paris of straight lines: Condition
that the general equation of second degree in two variable
may represent two straight lines. Point of intersection of two intersection
straight lines. Angle between two lines given by ax2 + 2hxy +by2 =0 Angle
bisectors. Equation of two lines joining the origin to the points in which a
line meets a conic. 4. Circle,
parabola, ellipse and phyperbola : Equations of pair of tangents from an external point,
chord of contact, Poles and Polars. Conjugate point
and conjugate line. 5. Polar Equations: Polar equations of
straight lines, circles and conic referred to a focus as pole, Equations of
tangent, normal and chord of contact. B. THREE DIMENSIONS 1. Rectangular cartesion
co-ordinate in space: half and octants concept of a geometric vector
(directed line segment projection of a vector on co-ordinate axis.
Inclination of a projection of a vector on co-ordinate axis. Inclination of a
projection of a vector on co-ordinate axis. Inclination of a vector with an axix. Co-ordinates of a vector. Direction cosine of a
vector. Distance between two points. Division of a directed segment in a
given ratio. 2. Equation of plane: General form,
intercept and Normal forms. The sides of a plane signed distance of a point
from a plane. Equation of a plane passing through the intersection of two
planes. Angle between intersection planes, Besectors
of angels between two intersecting planes. Parallelism and perpendicularity
of two planes. 3. Straight lines in space: Equation
(symmetric and parametric form) Direction ratio and Direction cosines.
Canonical equation of the line of intersection to two intersecting plane.
Angle between two lines. Distance of a point from a line. Condition of coplanarity of two lines. Equations of skewlines. Shortest distance between two skew
lines. 4. Sphere: General equation, circle,
sphere-through the inter section of two-spheres. Radical Plane. Tangent,
Normal. 5. General
equation of 2nd degree in 3 variable. Reduction to
canonical forms. Classification of quadrics. V. VECTOR ALGEBRA & ANALYSIS 1. Vector Algebra: Vector (directed line
segment) Equality of two free vectors. Addition. Multiplication by a scalar.
Position Vector: Point of division. Conditions of collinearity
of 3 points and co planarity of 4 points. Rectangular components of a vector
in two and three dimensions, product of two or more vectors: scalar and
vector products, Scalar triple products and vector triple products. Products
of four vectors. Direct applications of vector algebra in (i) Geometrical, trigonometrically problems, (ii) Work done
by a force. Moment of a force about a point, vectorial
equations of straight lines and planes. Volume of trahedron.
Shortest distance between two skew lines. 2. Vector Analysis: Vector
differentiation with reference to a sector variable. Vector functions of one
scalar variable. Derivative of a vector. Second derivative of a vector.
Derivatives of sums and products. Velocity and Acceleration as derivative. VI. MECHANICS – I 1. Composition
and Resolution of coplanar concurrent forces. Resolution of forces. Moments
and Couples. 2. Reduction
of a system of coplanar forces. Conditions of equilibrium of coplanar
forces. 3. Fundamental
ideas and principles of Dynamics. Laws of motion. Impulse and impulsive
forces. Work, power and energy, principles of conservation of energy and
momentum. 4. Motion
in a straight line under variable acceleration. Motion under inverse square
law. Composition of two S. H. M’s of nearly equal frequencies. Motion of a
particle tied to one end of an elastic string. Rectilinear motion in a
resisting medium. Damped forced oscillation. Motion under gravity where the
resistance varies as some integral (nth) power of velocity. Terminal
velocity. 5. Impact
of elastic bodies. Newton’s experimental law of elastic impact. Loss of K. E.
in a direct impact. 6. Expressions
for velocity and acceleration of a particle moving on a plane in Cartesian
and Polar co-ordinates. Motion of a particle moving in a plane in Cartesian
and Polar co-ordinate. 7. Central
forces and central orbits. Characteristics of central orbits. 8. Tangential
and Normal accelerations. Circular motions. 9. Motion
of a particle in a plane under different laws of resistance. Motion of a
projectile in a resisting medium in which the resistance varies the
velocity. 10. Laws
of friction, cone of friction. To find the positions of equilibrium of a
particle lying on a (i) rough plane curve, (ii)
rough surface under the action of any given forces. 11. General
formula for the determination of centre of gravity. VII LINEAR PROGRAMMING PROBLEM (L.P.P.) 1. Definition
of L.P.P. Formation of L.P.P. from daily life involving inequations.
Graphical solution of L.P.P. 2. Basic
solution and Basic Feasible solution (BFS) with reference to L.P.P. Matrix
formulation of L.P.P. Degenerate and non-degenerate B.F.S. Hyperplane, convex set, Cone, Extreme points. Convex hull
and convex polyhedron. Supporting and separating hyperplane.
Simple results on convex sets like the collection of all
feasible solutions of an L.P.P. constitutes a convex set. The extreme
points of the convex set of feasible solutions correspond to its B. F.S. (no
proof). The objective function has its optimal value at an extreme point of
the convex polyhedron generated by the act of feasible solutions (no proof).
Fundamental theorem (no proof). Reduction of a F.S. to a B.F.S. 3. Slack
and Surplus variables. Standard form of L.P.P. theory of simplex method.
Feasibility and optimality conditions. 4. The algorithm. Two phase method.
Degeneracy in L.P.P. and its resolution. 5. Duality Theory: The dual of the dual
to the Primal. Relation between the objective values of dual and the primal
problems. Relation between their optimal values. Complementary slackness.
Duality and simplex method and their applications. 6. Transporation
and Assignment problems, and that optimal solution. VIII. MECHANICS – II 1. Laws
of friction, cone of friction. To find the positions of equilibrium of a
particle lying on a (a) rough plane curve, (ii) rough surface under the action
of any given forces. 2. General
formula for the determination of centre of gravity. 3. Astatic equilibrium, Astatic Centre.
Positions of equilibrium of a Particle lying on a smooth plane curve under
action of given forces. 4. Virutal work: Principle of virtural work for
a single particle. Deduction of the conditions of equilibrium of a particle
under coplanar forces from the principle of virtual work. The principle of
virtual work for a rigid body. Forces which do not appear in the equation of virtual work.
Forces which appear in the equation of virtual work. The principle of virtual
work for any system of coplanar force acting on a rigid body. Converse of
principle of virtual work. 5. Forces
in 3-dim: Moment of a force about a line. Axis of couple. Resultant of any
number of couples acting on a rigid body. Reduction of a system of forces
acting on a rigid body. Poinsot’s Central axix. Wrench, Pitch, Intensity and screw. Invariant and
equation of the central axis of a given system of forces. 6. Motions
under inverse square law in a plane. Escape velocity. Planetary motions and Keplar’s Laws. Artificial satellite Motion. Slightly
disturbed orbit. Conservative field of force and principles of conservation
of energy, Motion under rough curve (circle, parabola, ellipse, Cycliod) under gravity 7. RIGID
DYNAMICS: Moments and products of inertia. Theorem of parallel and
perpendicular axes. Principles axes of inertia, momental
ellipsoid Equimomental system. D’Alembert’s
principle. Equation of Motion. Principles of moments. Principle of
conservation of linear and angular momentum. Principles of energy. Equation
of Motion of a rigid body about a fixed axis. Expression for K.E. and moment
of momentum of a rigid body moving about a fixed axis. Compound pendulum.
Equation of Motion of a rigid body moving in 2-dim. Expression for K. E.and angular momentum about the origin of a rigid body
moving in 2 dim. Motion of a solid revolution moving on a rough horizontal
& inclined plane.Conditions for pure rolling.
Impulsive action. Generalised coordinates, momentum
Lagrangian, Cyclic coordinates, Ronthian IX. A. MATHEMATICAL THEORY OF PROBABILITY Random experiments. Simple and compound events. Event space.
Classical and frequency definitions of probability and their drawbacks.
Axioms of probability, Statistical regularity. Multiplication rule of
probabilities. Bayes theorem. Independent events.
Independent random experiments. Independent trials. Bernoulli trails and law.
Multinominal law. Random variables, Probability
distribution. Distribution function, descrete and
continuous distributions. Bimominal, Poison,
Uniform, normal distribution. Cauchy gamma distributions. Beta distribution
of the first and of the second kind. Poison process. Transformation of random
variables. Two-dim, prob. Distribution. Discrete and continuous distributions
in two dimensions. Uniform distributions, and
two-dimensional normal distribution. Conditional distributions.
Transformation of random variables in two dimensions. Mathematical expectation.
Mean, variance, moment, central moments. Measures of location, dispersion, skewness and Kurtosts. Median,
Mode, quartiles, Moment-generating function characteristics function. Two
dimensional expectation. Covariance. Co-relation
Co-efficient. Joint characteristic function. Multiplication rule for
expectations, conditional expectations, Regression curves, least square
regression lines and parabolas. Chi square and distributions and their
important properties, inequality Convergence in probability. Bermouli’s limit theorem. Law of large numbers. Poissons approximation to binomial distribution. Normal
approximation to binomial distribution. Concept of asymptotically normal
distributions. Statement of central limit theorem in the case of equal
components and of limit theorem for characteristic functions and in
applications. (Stress should be more on distributive function theory than on
combinational problems. Different combinatorial problems should be
avoided). B. MATHEMATICAL STATISTICS: Random samples. Distribution of the
sample. Tables and graphical representations. Grouping of data. Sample
characteristic and their computation. Sampling distribution of a statistic.
Estimates of a population characteristic or parameter. Unbiased consistent
estimates. Sample characteristics as estimates of the corresponding
population characteristics. Sampling distributions of the sample mean and
variance. Exact sampling distributions for the normal populations. Bivariate samples. Scatter diagram. Sample correlation
coefficient. Least square regression lines and parabolas. Estimation of
parameters. Method of maximum likelihood. Applictions
to binomial. Normal populations. Confidence intervals. Such intervals for the
parameters of the normal populations. Approximate confidence interval for the
paratmer of a binomial population. Statistical
hypothesis. Simple and composite hypothesis. Best critical region of a test. Neyman Pearson theorem and its applications to normal
populations. Likelihood ratio testing and its applications to normal
population. X.NUMERICAL ANALYSIS 1. Computational Errors: Round-off
errors, significant digits, errors in arithmetical operations, guard figures
in calculations. 2. Interpolation: Polynomial
Interpolation, remainder, Equally-spaced interpolating points-difference,
difference table, propagation of errors; Newton’s forward and backward, Stirling and Bessel interpolation formulae, divided
differences, divided difference, formula, confluent divided differences,
inverse interpolation. 3. Numerical Differentiation: Error in
numerical differentiation. Newton’s forward and backward and Lagrange’s
numerical differentiation formula. 4. Numerical Integration: Degree of precision, open & closed
formulae, composite rules. Newton-Cotes (closed-type) formula – Trapeezoidal, Simpson’s one third and Weddle’s rules,
error formulae in terms of ordinates (proofs not necessary). 5. Numerical Solutions of Equations:
Initial approximation by methods of tabulation and graph, methods of
bisection, fixed point iteration with condition of convergence. Newton – Raphson & Regula-falsi
methods, computable estimate of the error in each method. 6. Solution of ODE: First Order First
degree: By Euler, RK4 and Milne’s method . |
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