Introduction To Linear Algebra(1)Linear Equation

Homogeneous Equation

Linear Equation could be written to A x = 0 Ax=0 , then it could be called homogeneous equation. And there are always a trivial solution x = 0 x=0
(Theorem)
The homogeneous equation A x = 0 Ax=0 has solution if and only if the equation has at least one free variable

Nonhomogeneous equation

the solution of nonhomogeneous euqation A x = b Ax=b is a set of w = p + v h w=p+v_h where p p is an specific solution and v h v_h is a set of solution of equation A x = 0 Ax=0

Linear Independence

Linearly independent : x 1 v 1 + x 2 v 2 + . . . + x p v p = 0 x_1v_1+x_2v_2+...+x_pv_p=0 has only trivial solution, then { v 1 , v 2 . . . v p v_1,v_2...v_p } is said to be linearly dependent
Linear dependence relation: this relation among v 1 , . . . . , v p v_1,....,v_p when the c 1 v 1 + c 2 v 2 + . . + c p v p = 0 c_1v_1+c_2v_2+..+c_pv_p=0 weights{ c 1 , c 2 , . . . , c p c_1,c_2,...,c_p } are not all zero.

Linear Transformation

For transform T : R n R m T:R^n\rightarrow R^m , there exists a unique matrix A A such that:
T ( x ) = A x T(x)=Ax for all x x in R n R^n and matrix A A could express as A = [ T ( e 1 ) . . . T ( e n ) ] A=[T(e_1) ...T(e_n)] where e i e_i is i t h i_{th} column of the identity matrix.
one to one mapping T : R n R m T:R^n \rightarrow R^m if and only if each b in R m R^m image of at most one x x in R n R^n
T T is one to one transform if and only if T ( x ) = 0 T(x)=0 has the only trivial solution.

猜你喜欢

转载自blog.csdn.net/zbzhzhy/article/details/87805680