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Sec 3.5 Inverses of Matrices

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Presentation on theme: "Sec 3.5 Inverses of Matrices"— Presentation transcript:

1 Sec 3.5 Inverses of Matrices
Where A is nxn Finding the inverse of A: Seq or row operations

2 Finding the inverse of A:
Find inverse

3 Properties

4 Fact1: AB in terms of columns of B
Fact1: Ax in terms of columns of A

5 Basic unit vector: J-th location

6 What is The Big Day Register ???

7 TH1: the invers is unique
Def: A is invertable if There exists a matrix B such that TH1: the invers is unique TH2: the invers of 2x2 matrix Find inverse

8 If A and B are invertible, then
TH3: Algebra of inverse If A and B are invertible, then 1 2 3 4

9 TH4: solution of Ax = b Solve

10 Def: E is elementary matrix if
1) Square matrix nxn 2) Obtained from I by a single row operation

11 REMARK: Let E corresponds to a certain elem row operation.
It turns out that if we perform this same operation on matrix A , we get the product matrix EA

12 NOTE: Every elementary matrix is invertible

13 Sec 3.5 Inverses of Matrices
TH6: A is invertible if and only if it is row equivalent to identity matrix I Row operation 1 Row operation 2 Row operation 3 Row operation k

14 Solving linear system Solve

15 Matrix Equation Solve

16 Definition: A is nonsingular matrix if the system has only
the trivial solution

17 TH7: A is an nxn matrix. The following is equivalent
(a) A is invertible (b) A is row equivalent to the nxn identity matrix I (c) Ax = 0 has the trivial solution (d) For every n-vector b, the system A x = b has a unique solution (e) For every n-vector b, the system A x = b is consistent


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