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Showing posts with label Vector Space. Show all posts
Showing posts with label Vector Space. Show all posts

Linear Sum of two subspaces

Let V be a vector space over the field F the linear sum of two subspaces W1 and W2 of V written as (W1+W2) and is defined as W1+W2={α1+α2:α1єw1,α2єw2} which shows that each element 0f (W1+W2) is expressible as sum of an element of W1 and an element of W2.

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Linear Combination & Linear Span

Linear Combination Of Vectors:-

Let V be a vector space over the field F,then a vector αєV is said to be a linear combination of vectors α1,α2,α3,………………..αnєV.
If     α=a1α1+a2α2+a3α3+…………………………+anαn
where  a1,a2,a3,……………………………….anєF

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Direct Sum of a vector space

Let V be a vector space over the field F then vector space V is said to be direct sum of its subspaces W1 and W2 written as   V=W1⊕W2. If each element of V is uniquely expressible as sum of an element of W1 and an element of W2.
In this case W1 and W2 are called complementary subspaces.This definition can be extended for more than two subspaces.
i.e.       vector space V is said to be direct sum of its subspaces W1,W2,W3,………………………………….,Wn if every element αєV can be written in one and only one way
α=α1+α2+α3+…………………………..+αn
 where  α1єW1,α2єW2,α3єW3,…………………….αnєWn

Disjoint subspaces:-

Two subspaces W1 and W2 of a vector space V over the field F are said to be disjoint if their intersection(∩) with zero subspace.          i.e.  W1 andW2 are disjoint if W1∩W2={0}

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Basis, Dimension & Cosets of a vector Space

Basis of a vector space:-

A non-empty subset S of a vector space V(F) is said to be its basis if
1-S is linearly independent.
2-S generates V i.e. L(S)=V
i.e. each vector in V is expressible as a linear combination of element of S.

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Veactor Space (Theorem-1)

Statement-The necessary and sufficient condition for a non-empty subset W of vector space V is that
a,bєF, α,βєW ⇨ aα+bβєW, ∀ a,bєF and α,βєW

Proof-                  Necessary condition-

Let W be a subspace of a vector space V over the field F.
∵               W is a vector space over the same field F. So  W is a closed under scalar multiplication.

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Definition of Vector Space


Let F be an orbitrary field then a non-empty set V is called a 
vector    space over the field F written as V(F) if following axioms are satisfied-
❶-There is defined an internal composition in V to be denoted additively such that (V,+) is an abelian group.
i.e.
1-Closure axiom:-
If α,β єV  then
α+βєV, ∀ α,βєBV

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