The following statement is either true​ (in all​ cases) or false​ (for at least one​ example). If​ false, construct a specific example to show that the statement is not always true. Such an example is called a counterexample to the statement. If a statement is​ true, give a justification. If v1 and v2 are in set of real numbers R Superscript 4 and v2 is not a scalar multiple of v1​, then ​{v1​,v2​} is linearly independent. Choose the correct answer below. A. The statement is false. The vector v1 could be a scalar multiple of vector v2. B. The statement is false. The vector v1 could be the zero vector. C. The statement is true. A set of vectors is linearly independent if and only if none of the vectors are a scalar multiple of another vector. D. The statement is false. The vector v1 could be equal to the vector v2.

Respuesta :

Answer:

  • B. The statement is false. The vector v1 could be the zero vector.

Explanation:

Two vectors [tex]\vec{v}_1[/tex] and [tex]\vec{v}_2[/tex] are linearly independent if the equation

[tex]\alpha_1 \vec{v}_1 + \alpha_2 \vec{v}_2 = \vec{0}[/tex]

where [tex]\alpha_1[/tex] and [tex]\alpha_2[/tex] are scalars, has only one solution:

[tex]\alpha_1 = \alpha_2 = 0[/tex].

If there is more than one solution, we say that the vector are linearly dependent.

Why the answer is B. :

if [tex]\vec{v}_1 = 0[/tex] then, [tex]\alpha_1[/tex] could have any value of the scalar group, as for any scalar [tex]\alpha[/tex]

[tex]\alpha * \vec{0} = \vec{0}[/tex]

So, we get that there is more than one solution.

So, a particular counterexample is:

[tex]\vec{v}_1  = (0,0,0,0)[/tex]

[tex]\vec{v}_2 = (1,0,0,0)[/tex]

as [tex]\vec{v}_2[/tex] is not an scalar multiple of [tex]\vec{v}_2[/tex], and the equation

[tex]\alpha_1 \vec{v}_1 + \alpha_2 \vec{v}_2 = \vec{0}[/tex]

has as solution

[tex]\alpha_1 = 2[/tex]

[tex]\alpha_2 = 0[/tex]

as we can see

[tex]2 (0,0,0,0) + 0 (1,0,0,0) = \vec{0}[/tex]

[tex] (2* 0,2 *0,2*0,2*0) +  (0*1,0*0,0*0,0*0) = \vec{0}[/tex]

[tex] (0,0,0,0) +  (0,0,0,0) = \vec{0}[/tex]

[tex] (0+0,0+0,0+0,0+0) = \vec{0}[/tex]

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