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What is the dimension of a Matrix?
m rows x n columns
(Equations) x (Variables)
What is an Overdetermined Linear System?
More Equations than variables m>n
What is an Underdetermined Linear System?
More Variables than equations n>m
What is a Square Linear System?
Number of Variables is the same as Equations n=m
What is a consistent Matrix?
When a matrix has any solution, doesn't matter how many (can be infinite).
How can you tell if a system is independent?
Each line/plane should have a different slope
When is a system inconsistent?
When the system has no solution, ie when one or more rows has [ 0 0 | 1]
How can you tell if a system is dependent?
when each line/plane has the same slope.
What is a Type I elementary Row operation?
When you interchange 2 rows of a Matrix
What is a Type II elementary Row operation?
Multiplying a row by a non zero number
What is a Type III elementary Row operation?
Add a multiple of one row to another
When is a Matrix Upper triangular?
when all the lower triangle entries are 0, example
[1 2 3;
0 4 5;
0 0 6]
When is a Matrix Lower triangular?
when all the upper triangle entries are 0, example
[1 0 0;
2 3 0;
4 5 6]
What is a Diagonal matrix?
when both the upper and lower triangle is 0, example
[1 0 0;
0 2 0;
0 0 3]
What are row Equivalent Matrices?
Matrices A and B are row equivalent IFF matrix B can be obtained from matrix A using finite Elementary row operations
What is row echelon form of a matrix?
when the upper triangular form of a matrix has all diagonal pivots = 1, example
[1 2 3;
0 1 2;
0 0 1]
What is reduced row echelon form of a matrix?
when all pivot variables are 1 and eliminated from all other equations, example
[1 0 0 | 1
0 1 0 | 2
0 0 1 | 3]
What is a homogenous linear system? Is the System consistent?
Ax+b, but the vector b= 0 vector,
example
[1 2 | 0
3 4 | 0]
This system is ALWAYS consistent because A(0)=0
Theorem 2.2.1 properties
These are true for all scalars α and β and for any matrices A, B, and C
What is the Identity matrix?
The identity Matrix is a diagonal Matrix where all diagonal entries are 1
example 3x3 matrix
[ 1 0 0;
0 1 0;
0 0 1]
What is the Transpose of a Matrix?
A transpose is where you swap the rows with their respective columns.
Example
A=
[1 2 3
4 5 6
7 8 9]
AT=
[1 4 7
2 5 8
3 6 9]
When is a Matrix Symmetric?
When A= AT
A=
[1 2 3
2 4 5
3 5 6]
AT=
[1 2 3
2 4 5
3 5 6]
When is a Matrix Antisymmetric?
When AT= -A
A=
[0 1 -2
-1 0 3
2 -3 0]
AT=
[0 -1 2
1 0 -3
-2 3 0]
What is a nonsingular Matrix?
A matrix has a multiplicative inverse.
ie AB= BA= I
What is a singular Matrix?
when a Matrix is NOT invertible
What is a degenerate matrix?
A square matrix that is not invertible.
ie determinant = 0
Theorem 2.3.1 Properties
for a square Matrix A ∈ R n×n all of these are equivalent:
If A and B are non singular nxn (square) matrices, is the product AB nonsingular?
Yes AB will be nonsingular (invertible)
If matrix A is nonsingular is A transpose (A^T) nonsingular?
yes A^T will be nonsingular
A^T(A^−1)^T=(A^−1 A)^T
=I^T
=I
IF you have 2 matrices ( A and B), you will be able to multiply A by a finite number of elementary matrices to get B.
B= E1 * E2 *En*A
(since elementary matrices are invertible A is row equivalent to B) A= E1^-1 * E2^-1 * En^-1 *B
(if A is a square Matrix all are equivalent)
1. All columns are pivot columns
2. The homogenous linear system (Ax=0) has a unique solution
3. A is nonsingular
4. A is nondegenerate
5. A is invertible
6. A is row equivalent to I
7. the rref of A is I
8. A is the product of elementary matrices
(more will be added later in course)