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Each statement in Exercises 33–38 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 counterexampleto the statement. If a statement is true, give a justification. (One specific example cannot explain why a statement is always true. You will have to do more work here than in Exercises 21 and 22.)

38. If \({{\bf{v}}_1},...,{{\bf{v}}_4}\) are linearly independent vectors in \({\mathbb{R}^4}\), then \(\left\{ {{{\bf{v}}_1},{{\bf{v}}_2},{{\bf{v}}_3}} \right\}\) is also linearly independent. [Hint:Think about \({x_1}{{\bf{v}}_1} + {x_2}{{\bf{v}}_2} + {x_3}{{\bf{v}}_3} + 0 \cdot {{\bf{v}}_4} = 0\).]

Short Answer

Expert verified

The statement is true.

Step by step solution

01

Write the condition for the linear independence of the vectors

The vectors are said to be linearly independent if the equation \({x_1}{{\bf{v}}_1} + {x_2}{{\bf{v}}_2} + {x_3}{{\bf{v}}_3} + ... + {x_p}{{\bf{v}}_p} = 0\) has a trivial solution, where \({{\bf{v}}_1},{{\bf{v}}_2},...,{{\bf{v}}_p}\) are the vectors.

02

Check whether the statement is true or false

It is given that \({{\bf{v}}_1},...,{{\bf{v}}_4}\)arelinearly independent vectors in \({\mathbb{R}^4}\).

Consider the equation for linear dependence \({x_1}{{\bf{v}}_1} + {x_2}{{\bf{v}}_2} + {x_3}{{\bf{v}}_3} + {x_4}{{\bf{v}}_4} = 0\).

Substitute 0 for \({x_4}\) in the equation \({x_1}{{\bf{v}}_1} + {x_2}{{\bf{v}}_2} + {x_3}{{\bf{v}}_3} + {x_4}{{\bf{v}}_4} = 0\).

\(\begin{aligned}{c}{x_1}{{\bf{v}}_1} + {x_2}{{\bf{v}}_2} + {x_3}{{\bf{v}}_3} + 0 \cdot {{\bf{v}}_4} &= 0\\{x_1}{{\bf{v}}_1} + {x_2}{{\bf{v}}_2} + {x_3}{{\bf{v}}_3} &= 0\end{aligned}\)

So, it shows that vectors \(\left\{ {{{\bf{v}}_1},{{\bf{v}}_2},{{\bf{v}}_3}} \right\}\) are also linearly independent.

Thus, the statement is true.

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