Matrix
An overview of matrices and their
applications
What is Matrix?
• A matrix is a rectangular array of numbers arranged in rows and columns.
• Elements are usually represented by symbols like a_ij.
• Used widely in mathematics and applied sciences.
Types of Matrices
• Row Matrix, Column Matrix
• Square Matrix, Rectangular Matrix
• Zero Matrix, Identity Matrix, Diagonal Matrix
• Symmetric and Skew-Symmetric Matrices
Order of a Matrix
• Order is defined as number of rows x number of columns (m x n).
• Example: A 3x2 matrix has 3 rows and 2 columns.
Determinant of a Matrix
• Determinant is a scalar value derived from a square matrix.
• Helps in finding inverse, solving systems of equations, etc.
Square vs Rectangular Matrices
• Square matrix: number of rows = number of columns.
• Rectangular matrix: rows ≠ columns.
Inverse and Adjoint of a Matrix
• Inverse exists only for non-singular square matrices.
• Adjoint matrix is the transpose of the cofactor matrix.
• Inverse formula: A^-1 = adj(A) / |A|
Matrix Operations
• Addition: Same order matrices, add elements.
• Subtraction: Same order matrices, subtract elements.
• Multiplication: Rows of first x columns of second, compatible orders.
Adjoint of a Matrix
• Adjoint is transpose of cofactor matrix.
• Used in calculating inverse of a matrix.
Uses of Matrices in Real World
• Computer graphics and image processing.
• Engineering simulations and 3D transformations.
• Cryptography and coding theory.
• Economics and statistical models.
Matrix Inversion Method for
Solving Linear Systems
• System: AX = B.
• If A is invertible, solution: X = A^-1 * B.
• Used in various computational applications.

Matrix Presentation For Fsc students and teachers

  • 1.
    Matrix An overview ofmatrices and their applications
  • 2.
    What is Matrix? •A matrix is a rectangular array of numbers arranged in rows and columns. • Elements are usually represented by symbols like a_ij. • Used widely in mathematics and applied sciences.
  • 3.
    Types of Matrices •Row Matrix, Column Matrix • Square Matrix, Rectangular Matrix • Zero Matrix, Identity Matrix, Diagonal Matrix • Symmetric and Skew-Symmetric Matrices
  • 4.
    Order of aMatrix • Order is defined as number of rows x number of columns (m x n). • Example: A 3x2 matrix has 3 rows and 2 columns.
  • 5.
    Determinant of aMatrix • Determinant is a scalar value derived from a square matrix. • Helps in finding inverse, solving systems of equations, etc.
  • 6.
    Square vs RectangularMatrices • Square matrix: number of rows = number of columns. • Rectangular matrix: rows ≠ columns.
  • 7.
    Inverse and Adjointof a Matrix • Inverse exists only for non-singular square matrices. • Adjoint matrix is the transpose of the cofactor matrix. • Inverse formula: A^-1 = adj(A) / |A|
  • 8.
    Matrix Operations • Addition:Same order matrices, add elements. • Subtraction: Same order matrices, subtract elements. • Multiplication: Rows of first x columns of second, compatible orders.
  • 9.
    Adjoint of aMatrix • Adjoint is transpose of cofactor matrix. • Used in calculating inverse of a matrix.
  • 10.
    Uses of Matricesin Real World • Computer graphics and image processing. • Engineering simulations and 3D transformations. • Cryptography and coding theory. • Economics and statistical models.
  • 11.
    Matrix Inversion Methodfor Solving Linear Systems • System: AX = B. • If A is invertible, solution: X = A^-1 * B. • Used in various computational applications.