L ( S ) = L ( S' ) : Linear Algebra : Degree #L(S)=L(S') : #Linear #Algebra #: #Degree

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Theorem :
Let S = { ðœķ1 , ðœķ2 , ... , ðœķn } be a subset of the vector space V ( F ) . If ðœķi in S is a linear combination of its preceeding vectors then L ( S ) = L ( S' ) where S' = { ðœķ1 , ðœķ2 , ... , ðœķ(i-1) , ðœķ(i+1) , ... , ðœķn } .

Proof :


 * Theorem on Linear Dependence 

* linear sum of subspaces

* What is a vector space

* linear span of a set 

 * Theorem on vector space  

 * Historical Introduction to Linear Algebra

 * Let V(F) be a vector space and let W ⊆ V. The necessary and sufficient conditions for W 

            to be a subspace of V are (i) ðœķ 𝞊 W, ðžŦ 𝞊 W ⇒  ðœķ - ðžŦ 𝞊 W

                                                     (ii) a 𝞊 F , ðœķ 𝞊 W ⇒ aðœķ 𝞊 W.

* Let V(F) be a vector space and let W ⊆ V. The necessary and sufficient conditions for W 

    to be a subspace of V is  ðœķ 𝞊 W, ðžŦ 𝞊 W ⇒  aðœķ +bðžŦ 𝞊 W

 * Problem 1 on subspace of a vector space 

* Problem 2 on subspace of a vector space

 * Intersection of subspaces is again a subspace

  * union of subspaces of a vector space

  * Problems on linear combination

 * Pairwise sum of linearly independent sets 













































#L(S)=L(S')  :  #Linear #Algebra   #: #Degree 

#vector #algebra #vector algebra   #iit #jee #mains #dimension #basis #subspacec #linearalgebra                            


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