
Let's start with determinants. A determinant is a square array of numbers entered within a pair of horizontal lines or vertical lines. The solution is obtained by sum of products in a certain manner. On simplifying the determinants, the value is a single number that is a scalar quantity. Determinants are useful calculating areas in real-life problems.
Let's start with 2x2 determinants mathematical representation. Here you can see a, b, c, d and the value of the determinants is given by ad minus bc. Further adding to the representation we also say that a is located in 11 position, b is located in 12 position, c is located in to one position, and d is located in 22 position
Now here is 3x3 determinant, where the position of a1 is at 11, b1 is at 12 and the position 13 is given by c1. In the second row 21 position is given by a2, 22 position is given by b2 and 23 position is given by c2. Similarly in the third row, as you can see the 31 position is given by a3, 32 position is given by b3 and and 33 position is given by c3. And the value of the determinant is given as:
Learn to represent determinants in Excel with cell references, work through 2 by 2 and 3 by 3 examples, and apply the M.D. Tom function to compute the determinant efficiently.
Explore the mathematical representation of minors by deleting the chosen row and column to form determinants, illustrated for 2x2 and 3x3 cases, with plans to compute minors in Excel.
Compute cofactors for 2x2 and 3x3 determinants using the definition C_ij = (-1)^{i+j} M_ij and corresponding minors, assemble the cofactor matrix, and preview representing cofactors in Excel.
Learn to compute cofactors in Excel by applying the minor values and the sign pattern (-1)^(i+j) to determinants, with 3x3 examples.
Learn Cramer's rule for solving two-variable and three-variable linear systems using determinants, column replacements, and the conditions for unique solutions, with an Excel-based approach planned.
Introduction to Matrices (includes properties like addition, subtraction, multiplication etc.)
Explore matrix properties via addition, subtraction, and scalar multiplication on 2x2 matrices, and apply matrix multiplication rules to compute AB and compare with BA.
Apply Excel to perform matrix operations on 3x3 matrices, including addition, subtraction, scalar multiplication, and matrix multiplication, with step-by-step numerical examples.
Master the adjoint and inverse of a matrix, including the transpose of cofactors. Use that the inverse equals the adjoint divided by the determinant, and recognize orthogonal matrices.
Discover how to compute the adjoint and inverse of a matrix in Excel. Learn cofactors, determinants, and the one-line inverse using built-in Excel functions.
Explore the normal form of reduction for matrices using Excel, performing row and column reductions to reach an identity matrix, and connect matrix concepts to numerical methods and inversion.
Master elementary row reduction in Excel by applying row operations to transform a matrix into upper triangular form, using drag-and-fill to apply the same multipliers across rows.
Represent a system of linear equations as A x = B and solve for x by matrix inversion, X = A^{-1} B, when A is non singular.
explore matrix inversion in Excel to solve a three-variable linear system by computing a inverse b, rewriting the system of equations into a matrix form, and obtaining x, y, z.
Merge learning of determinants and matrices to numerical methods using Excel to solve linear systems with static and iterative approaches, illustrating iterative schemes through repeatable, cell-based examples to improve accuracy.
Learn the Gauss elimination method to solve a three-variable linear system by forming the coefficient matrix and constants, reducing to upper triangular form with row operations, then back-substituting.
Gauss-Jordan method: apply row operations to reduce a linear system to diagonal form, then solve by equating the left-hand side to the right-hand side for x, y, z.
Explore Gauss-Jacobi method as an iterative solver for linear systems with unique solutions, using initial values and Excel to build convergence-driven iteration tables.
Implement gauss-jacobi in Excel to solve a linear system by arranging coefficients and constants, starting from zero, and iterating with previous values to observe convergence and iteration effects.
Apply Gauss-Seidel to solve a 3x3 system in Excel by updating X, Y, Z iteratively. Start from zero and converge to approximately x=2, y=2, z=2.
Explore how matrices and numerical methods come to life in Excel, using linear algebra problem solving to approximate solutions and apply math to real-world problems.
The course aims to explore areas, which are otherwise excluded in traditional classroom learning. Matrices are a modern tool in science and technology. Determinant helps to find the consistency of the given matrix. Numerical methods approximate true solutions and are repeatedly applied to better approximate until an accurate solution is obtained. The bridge between Matrices and Numerical methods is narrowed for the students to grasp multi-facet knowledge. The blending of these subjects taught in online mode would bring the learner ease to connect with applications in real-life. The learner is no more restricted to the narrow platform of knowledge. Interdisciplinary approaches are inculcated naturally through this course. The course imbibes the learner to apply in various fields of the study and allows them to think in a broader aspect to bridge the gap between two subjects. The course is designed in two parts. One part of the topic would be about mathematical notations and formulations and second part is designed for solving using excel.
The course consists of:
Introduction to Matrices (includes properties like addition, subtraction, multiplication, adjoint, etc.)
Basic knowledge of determinant, Cramer's rule (2x2,3x3)
Two ways to find the inverse, and in Excel
normal form and echelon form
normal form and echelon form using Excel.
Introduction to Numerical methods extended from Matrices
Numerical methods of Gauss methods
Gauss-elimination with Excel
Gauss-Jordan with Excel
Gauss-Jacobi and with Excel
Gauss-Seidel collaborating with Excel.