System Modeling Techniques I

L 3 C 3

Teachers Continuous Evaluation: 40 marks. Term-End Semester Examination: 60 marks.

Course outcomes

• Ability to use series, differential and integral methods to solve formulated engineering problems.
• Ability to use Ordinary Differential Equations to solve formulated engineering problems.
• Ability to use linear algebra to solve formulated engineering problems.
• Ability to use vector calculus to solve formulated engineering problems.

Unit I

Partial derivatives, Chain rule, Differentiation of Implicit functions, Exact differentials. Maxima, Minima and saddle points, Method of Lagrange multipliers. Integration, Differentiation under Integral sign, Jacobians and transformations of coordinates. Taylor’s and Maclurian Series. Ordinary Differential Equations (ODEs): Basic Concepts. Geometric Meaning of y’= ƒ(x, y). Direction Fields, Euler’s Method, Separable ODEs. Exact ODEs. Integrating Factors, Linear ODEs. Bernoulli Equation. Orthogonal Trajectories. Homogeneous Linear ODEs with Constant Coefficients. Differential Operators. Modeling of Free Oscillations of a Mass–Spring System, Euler– Cauchy Equations. Wronskian, Nonhomogeneous ODEs, Solution by Variation of Parameters

Unit II

Power Series Method for solution of ODEs, Bessel’s Equation, Legendre’s Equation, Hermite‘s equation, Laguerre’s Equations. Corresponding Special Functions, Recurrence Relations for these special functions, their properties.Gamma and Beta functions and their properties

Unit III

Linear Algebra: Matrices and Determinants, Gauss Elimination, Linear Independence. Rank of a Matrix. Vector Space. Solutions of Linear Systems and concept of Existence, Uniqueness, Determinants. Cramer’s Rule, Gauss– Jordan Elimination. The Matrix Eigenvalue Problem. Determining Eigenvalues and Eigenvectors, Symmetric, Skew-Symmetric, and Orthogonal Matrices. Eigenbases. Diagonalization. Quadratic Forms. Gram-Schmidt process. Cayley –Hamilton Theorem (without proof). LU and Cholesky decomposition, applications to systems of equations, Singular Value Decomposition (SVD) with applications.

Unit IV

Vector Calculus: Vector and Scalar Functions and Their Fields. Derivatives, Curves. Arc Length. Curvature. Torsion, Gradient of a Scalar Field. Directional Derivative, Divergence of a Vector Field, Curl of a Vector Field, Line Integrals, Path Independence of Line Integrals, Double Integrals, Green’s Theorem in the Plane, Surfaces for Surface Integrals, Surface Integrals, Triple Integrals, Stokes Theorem. Divergence Theorem of Gauss.

Textbooks

• Advanced Engineering Mathematics, Erwin Kreyszig, John Wiley, 10th Ed., 2011.
• Mathematical Methods for Physics and Engineering, K. F. Riley, M. P. Hobson and S. J. Bence, CUP, 2013.

References

• Engineering Mathematics by K.A. Stroud with Dexter J. Booth, Macmillan, 2020.
• Special Functions of Mathematics for Engineers. Larry C. Andrews, OUP, 1998
• Advanced Engineering Mathematics by Larry Turyn, Taylor and Francis, 2014.
• Advanced Engineering Mathematics by Dennis G. Zill, Jones & Bartlett Learning, 2018.
• Advanced Engineering Mathematics with MATLAB by Dean G. Duffy, Taylor and Francis, 2017.
• Advanced Engineering Mathematics by Merle C. Potter, Jack L. Lessing, and Edward F. Aboufadel, Springer (Switzerland), 2019.