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Published on Mar 9, 2011
This is the 13th lecture in this course on Linear Algebra. Here we start studying general systems of linear equations, matrix forms for such a system, row reduction, elementary row operations and row echelon forms.
This course is given by Assoc Prof N J Wildberger of UNSW, who also has other YouTube series, including WildTrig, MathFoundations and Algebraic Topology.
CONTENT SUMMARY: pg 1: @00:08 How to solve general systems of equations; Chinese "Nine chapters of the mathematical art'/C.F.Gauss; row reduction; pg 2: @03:04 General set_up: m equations in n variables; Matrix formulation; matrix of coefficients; pg 3: @05:50 Defining the product of a matrix by a column vector; 2 propositions used throughout the remainder of course; matrix formulation of basic system of equations; pg 4: @09:07 return to original example; Linear transformation; pg 5: @10:49 a 3rd way of thinking about our system of linear equations; vector formulation; example; pg 6: @14:12 example: row reduction (working with equations); pg 7: @24:48 example: row reduction (working with matrices); row echelon form mentioned; reduced row echelon form; setting a variable to a parameter; pg 8: @30:17 Terminology; augmented matrix, leading entry, leading column, row echelon form; pg 9: @32:07 examples; solution strategy; pg 10: @35:36 elementary row operations; operations are invertible (can be undone); algorithm for row reducing a matrix; pg 11: @38:11 algorithm for row reducing a matrix; pivot entry; pg 12: @43:41 example; row reducing a matrix per algorithm; pg 13: @47:38 exercises 13.(1:2); pg 14: @48:02 exercise 13.3; (THANKS to EmptySpaceEnterprise)
Screenshot PDFs for my videos are available at the website http://wildegg.com. These give you a concise overview of the contents of each lecture. Great for review, study and summary.