📘 M1

Matrices

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M1 Unit 1

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M1 Unit 2

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M1 Unit 3

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M1 Unit 4

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M1 Unit 5

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M1 Mid 1 Bites

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M1 Mid 2 Bites

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M1 Sem 1 Importent Answers

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Syllabus Overview

Unit 1: Matrices

Rank of a matrix by Echelon form and Normal form

Inverse of Non-singular matrices by Gauss-Jordan method

System of linear equations

  • Solving system of Homogeneous and Non-Homogeneous equations by Gauss elimination method

Gauss Seidel Iteration Method

Unit 2: Eigen values and Eigen vectors

Linear Transformation and Orthogonal Transformation

  • Eigenvalues, Eigenvectors and their properties

Diagonalization of a matrix

Cayley-Hamilton Theorem

  • Finding inverse and power of a matrix by Cayley-Hamilton Theorem

Quadratic forms and Nature of the Quadratic Forms

  • Reduction of Quadratic form to canonical forms by Orthogonal Transformation

Unit 3: Calculus

Mean value theorems

  • Rolle’s theorem
  • Lagrange’s Mean value theorem with their Geometrical Interpretation and applications
  • Cauchy’s Mean value Theorem
  • Taylor’s Series

Applications of definite integrals to evaluate surface areas and volumes of revolutions of curves (Only in Cartesian coordinates)

  • Definition of Improper Integral: Beta and Gamma functions and their applications

Unit 4: Multivariable Calculus (Partial Differentiation and applications)

Definitions of Limit and continuity

Partial Differentiation

  • Euler’s Theorem
  • Total derivative
  • Jacobian
  • Functional dependence & independence

Applications

  • Maxima and minima of functions of two variables and three variables using method of Lagrange multipliers

Unit 5: Multivariable Calculus (Integration)

Evaluation of Double Integrals

  • Cartesian and polar coordinates
  • change of order of integration (only Cartesian form)

Evaluation of Triple Integrals

  • Change of variables (Cartesian to polar) for double and (Cartesian to Spherical and Cylindrical polar coordinates) for triple integrals

Applications

  • Areas (by double integrals) and volumes (by double integrals and triple integrals)
Matrices Notes