1.3 Vector Equations Vectors in R2 : 1-column matrices or ordered pairs of real numbers Example: Given 1 u 2 and 3 v , 1 3u, 2v, and 3u (2)v. u v Geometric Interpretation? find Vectors in R3 Vectors in Rn : 31 column matrices or points in three-dimensional space : n 1 column matrices a1 a2 n R u : ai R M an Two vectors are equal if and only if their corresponding entries are equal. The vector cu(where c is a real number) is a scalar multiple of u. Algebraic Properties of R n n For all u, v, w in R and all scalars c and d : i) u v v u v) c(u v) cu cv ii) ( u v) w u (v w) vi) ( c d)u cu du iii) u 0 0 u u vii) c(du) (cd)u iv) u (-u) -u u 0 viii) 1 u u (Note that -u (-1)u) Linear Combinations v1,v2 ,L ,v p Rn c1,c 2 ,L ,c p R, Given vectors and given scalars c1v1 c 2 v 2 L c p v p linear combination of is a v1,v 2 ,L ,v p with weights c1 , c2 , , c p . Example: 1 2v1 v 2 2 v1 0 Example: Determine whether w can be generated as a linear Combination of v 1 and v2 , where 1 1 v1 , v 2 , 2 1 and 6 w . 3 A vector equation x1v1 x 2 v 2 L x p v p w has the same solution set as the linear system whose augmented matrix is v 1 v2 L vp | w w can be generated by a linear combination of vectors in v ,v ,L v 1 2 p if and only if the following linear system is consistent: v 1 v2 L vp | w Definition n v ,v ,L v R If , then the set of all linear 1 2 p combinations of v1, v 2 ,L v p is denoted by Span v1,v2,L v p and is called the subset of R n spanned by v ,v ,L v 1 2 p Span{v1,v2,L v p } c1v1 c 2v2 L c p v p : c i R Geometric Description of Span: 1 Span 2 1 1 Span , 2 1 1 1 Span 2, 1 0 0