Linear Space Flashcards
What are axioms of linear space?
- Ax1: x#y=y#x (commutativity)
- Ax2:x#(y#z)=(x#y)#z (associativity)
- Ax3: exist 0(v) € L, such that x#0(v)=x
- Ax4: for every x exist y, such that x#y=0
- Ax5: 1*x=x Ax6 (ab)*x=a*(bx)(the interplay of multiplication)
- Ax7: distributivity
- Ax8: distributivity of * and #
What is definition of linear combination?
Let x1, x2,…,xn € L and let a1,a2…an be scalars in R. Then y defined by the equality y=a1*x1#a<span>2</span>*x2#…#an*xn is called the linear combination of x vectors with a coefficients.
What is linear subspace?
Let L be LS and M be a nonvoid subset of L. Then M is called a linear subspace of L if the following 2 cond are satisfied:
- 1) for any pair x€M y€M we have x#y € M
- 2) for any a € R and x € M we have a*x € M
Definition of linearly dependent vectors
We have vectors x1 … xn in L. If n>=2 then vectors are said to be LD if at least one of them can be written as LC of others.
Proposition of linear independence
We have vectors x1 … xn. They said to be LI if their only LC = 0 is a trivial combination.
Definition of Span.
L is a LS. Let M be a subset of L(m not empty). Then the set of all LC of vectors from M is called a linear span of M(SpanM)
What is the definition of linear space?
L is nonvoid set. Let L be equipped with operations #:LxL→L and *:RxL→L such that 8 axioms are satisfied.
Defenition of independent subset.
A (possibly infinite) subset M of L is called LI if every choise of finitely many vectors of M gives a LI family in L. If M is not LI, then it’s LD.
Defenition of the basis.
Let L be a linear space. A set B, B subset of L, is called a basis of L if B os linearly independent and SpanB=L.
Defenition of dimension of LS
Suppose that B={b1,b2…bn} is a basis of L. The number n is called the dimension of L. (dimL=n)
Defenition of coordinates in basis.
Let B={b1,b2…bn} be a basis of L. Take a vector x€L. The real numbers x1,x3…xn such that x=x1*b1+x2*b2+…+xn*bn are called the coordinates of x with respect to B. (x=(x1,x2,…,xn)B)