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

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For a video explanation, click here 👉 https://youtu.be/r3u7AVlNg-Y Theorem : Let S = { 𝜶1 , 𝜶2 , ... , 𝜶n } be a subset of the vector space V ( F ) . If 𝜶i in S is a linear combination of its preceeding vectors then L ( S ) = L ( S' ) where S' = { 𝜶1 , 𝜶2 , ... , 𝜶(i-1) , 𝜶(i+1) , ... , 𝜶n } . 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) 𝜶 𝞊 W, 𝞫 𝞊 W ⇒  𝜶 - 𝞫 𝞊 W                                                      (ii) a 𝞊 F , 𝜶 𝞊 W ⇒ a𝜶 𝞊 W. * Let V(F) be a vector ...

Linear Span of a set : Linear Algebra : Degree #linear #span #of #a #set

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 For a video explanation, click here 👉 https://youtu.be/T5oscsd_bTc  Linear Span of a set :                                                   Let S be a non-empty subset of a vector space V (F). Then the set of  all  linear combinations of vectors of S is called the linear span of S and is denoted by L (S).          i.e. L (S) = { 𝜶 / 𝜶 = 𝜮 , 1 ≤ i ≤ n } . For example :             If S = {  𝜶 1 , 𝜶 2 , … , 𝜶 n .} and if 𝜶 𝞊 L (S) then there exist scalars  a 1 , a 2 , … , a n   such            that    𝜶 =  a 1 𝜶 1 +a 2 𝜶 2 +   … +a n 𝜶 n . * Linear combination of vectors * linear sum of subspaces * What is a vector space  * Theorem on vector space      * Historical Introduction to L...