Linear algebra (unfinished)
IN MY OWN STYLE
Let’s go straight forward to the point.
Gauss-Jordan elimination
Gaussian elimination – to row echelon form
Gauss-Jordan elimination – to reduced row echelon form
- linear system of equations
- finding inverse matrix
Operations:
- rR
- R1 + R2
- R1 -> R2
Gaussian elimination – tik pirmas etapas. Antras ir trečias etapas padaromi kartu, perkonvertavus į lygčių sistemą ir įsistatinėjant iš apačios į viršų
Pimojo etapo galimi tarpiniai veiksmai.
SOME DEFINITIONS:
Linear equation: $a_1x_1 + a_2x_2 + … + a_nx_n = b; (l_1, l_2, …, l_n)$
Types of equations:
No solution/there’s solution – inconsistent/consistent (neuderinta/suderinta) 1 solution/more than 1 solution – apibrėžta/neapibrėžta (ANGL?)
Matrices:
Triangular Trapezoidal – in gaussian elimination t substitution for laisvieji kintamieji in the last row (ANGL?) Row echelon form, Reduced row echelon form
Transpose
matrix of minors
matrix of coprimes
Inverse, Identity
invertible/singular matrix – has (/not) inverse (square; det(A) != 0)
Finding inverse
- Gauss-Jordan
- Adjancency matrix, matrix of coprimes, determinant
Determinant
- Rule of Sarrus
- Laplace expansion
- Unidentified
Let’s talk about matrices…
Matrix addition/subtraction
Matrix multiplication
Finding inverse matrix
Identity matrix Adjancency matrix Matrix of coprimes Determinant Gauss-Jordan elimination Vectors…
Cross product
Dot product
.
.
.
List:
Rank-nullity theorem
kernel, dimension, linear map, rank, null, nullspace, projection
matrix of minors, matrix of cofactors
Transpose
linear transformation
Links
Gauss-Jordan elimination youtube gaussian elimination youtube row echelon form, reduced echelon form gauss-jordan finding inverse