Solution by Steps
step 1
To address the first statement, we recall the definition of linear dependence. A set of vectors is linearly dependent if there exists a non-trivial solution to the equation c1v1+c2v2+⋯+ckvk=0. A non-trivial solution means that not all ci are zero step 2
The statement is false because it incorrectly defines linear dependence. If the equation has only the trivial solution (where all ci are zero), then the vectors are actually linearly independent, not dependent Answer
The statement (i) is false.
Key Concept
Linear dependence and independence
Explanation
A set of vectors is linearly dependent if there exists a non-trivial solution to the vector equation where the coefficients are not all zero.
step 1
To address the second statement, we consider the definition of linear dependence between two vectors. Two vectors are linearly dependent if and only if one can be expressed as a scalar multiple of the other
step 2
The statement is true because if two vectors are linearly dependent, one vector can be written as a scalar multiple of the other, and vice versa
Answer
The statement (ii) is true.
Key Concept
Linear dependence of two vectors
Explanation
Two vectors are linearly dependent if and only if one is a scalar multiple of the other, which is the definition of linear dependence for two vectors.
step 1
To address the third statement, we recall the definition of linear independence. A set of vectors is linearly independent if the only solution to the equation c1v1+c2v2+⋯+ckvk=0 is the trivial solution, where all ci are zero step 2
The statement is false because it incorrectly defines linear independence. If at least one of the vectors can be written as a linear combination of the others, then the set is actually linearly dependent
Answer
The statement (iii) is false.
Key Concept
Linear independence of a set of vectors
Explanation
A set of vectors is linearly independent if the only solution to the vector equation is the trivial solution, not if one of the vectors can be written as a linear combination of the others.