Linear Equations PDF
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Summary
These lecture notes cover systems of linear equations and matrices. They discuss methods for solving linear equations, including row operations and the augmented matrix. The notes also include examples and exercises.
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ly emsof lineareqatins a X ax anXn b thing Epe 1.4177 2 x linear rearrange 3x 5 3 2 3 1 0 2 5 2 YEG Expl Is 4x 5 2...
ly emsof lineareqatins a X ax anXn b thing Epe 1.4177 2 x linear rearrange 3x 5 3 2 3 1 0 2 5 2 YEG Expl Is 4x 5 2 x x linear No b c of x x2 term A zXz An Xn b An X Az X 922 2 Aan Xn bz And am xn m AmiX Xzt Tatnf_ is m equations in n unknowns A solution to is an ordered n tuple in X1 X2 Xn that makes all equations true The solutionset of A is the set of all solutions Thm Thereareonly3possibiliti.es 11 my mom ÉÉffÉÉ É if f rEhu and n columns of numbers with m rows The coefficientmatic of is men mean aim The augmentedmatic of 1 1 is mxent ami aim m me EITEY.cn fntf cR Ri 2 Interchange Ri R CR Ri 0 3 Scaling systTugmented matrix ffff.fm new new augmented system matrix TheThenewsystemhasthesamesolutiont set as the original system ÉI he solution set of the system no Ox 2 2 8 3 8 5 0 2 5 3 10 Augmented matrix C R.se 1 1 RER i Tugmeted matrix same solution set new system x as original y IT Onesolutioni1110 reversible row operations are Elementary R Ri cRi Ri reversed by Ri R Ri R Ri 1 Ri CR Ri Rita Rj Two matrices A and B are rowhivalent if A can be transformed into B using elementary row operations have augmented matrices If two linear systems that are equivalent row then they have the same solution set rewording of earlier thm Expl 3 The following system consistent X2 4 3 8 2x 3 2 2 3 1 msistat.is I i meon augmented matrix rent Es new augmented matrix 2 3 2 3 1 set same soln 1 2 new system 2 4 original as new system has no solutions original system is inconsistent