9. Define the terms linear combination, linear dependence and linear independence as applied to vectors. Suppose a,b and c are three vectors in R". Show that: (i) if a,b and c are linearly dependent then there exist scalars a,ß and y, not all zero, such that aa+ßb+yc=0, (ii) if there exist scalars a,ß and y, not all zero, such that aa+Bb+yc=0 then a,b and c are linearly dependent. State the generalisation of this result to the case of k vectors in R". Use the generalisation to prove the following statements: (a) Any set of vectors containing the zero vector is linearly dependent. Any set of more than n vectors in R" is linearly dependent. (b)
9. Define the terms linear combination, linear dependence and linear independence as applied to vectors. Suppose a,b and c are three vectors in R". Show that: (i) if a,b and c are linearly dependent then there exist scalars a,ß and y, not all zero, such that aa+ßb+yc=0, (ii) if there exist scalars a,ß and y, not all zero, such that aa+Bb+yc=0 then a,b and c are linearly dependent. State the generalisation of this result to the case of k vectors in R". Use the generalisation to prove the following statements: (a) Any set of vectors containing the zero vector is linearly dependent. Any set of more than n vectors in R" is linearly dependent. (b)
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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