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Let V be a vector space over a field of characteristic not equal to two. (a) Let u and v be distinct vectors in V. Prove that { u, v} is linearly independent if and only if { u + v, u- v} is linearly independent. (b) Let u, v, and w be distinct vectors in V. Prove that { u, v, w} is linearly independent if and only if { u + v, u + w, 'U + w} is linearly independent.

Short Answer

Expert verified
In this exercise, we proved the equivalence of linear independence between sets of vectors in the given vector space. For part (a), we demonstrated that {u, v} is linearly independent if and only if {u + v, u - v} is linearly independent. Similarly, for part (b), we proved that {u, v, w} is linearly independent if and only if {u + v, u + w, u + w} is linearly independent. Our approach involved working with linear combinations of both sets of vectors and comparing the coefficients to show that each set is linearly independent only if the coefficients are zero.

Step by step solution

01

Write the linear combinations of both sets of vectors.

Suppose we have two linear combinations: 1. \(a_1u + a_2v = 0\) 2. \(b_1(u + v) + b_2(u - v) = 0\)
02

Prove that if {u, v} is linearly independent, then {u + v, u - v} is linearly independent.

Assume {u, v} is linearly independent. This means that the only solution to equation (1) is when \(a_1=0\) and \(a_2=0\). Now, we will work with equation (2): \(b_1(u + v) + b_2(u - v) = (b_1+b_2)u + (b_1-b_2)v = 0\) Comparing this with equation (1), we get: \(a_1 = b_1+b_2\) and \(a_2 = b_1-b_2\) Since {u, v} is linearly independent, the only solution is \(a_1=0\) and \(a_2=0\). Therefore, we conclude that \(b_1+b_2=0\) and \(b_1-b_2=0\). Solving for \(b_1\) and \(b_2\), we find that \(b_1=0\) and \(b_2=0\). Thus, {u + v, u - v} is also linearly independent.
03

Prove that if {u + v, u - v} is linearly independent, then {u, v} is linearly independent.

Assume {u + v, u - v} is linearly independent. This means that the only solution to equation (2) is when \(b_1=0\) and \(b_2=0\). Now, we will work with equation (1): \(a_1u + a_2v = (a_1+a_2)(u + v) + (a_1-a_2)(u - v) = 0\) Comparing this with equation (2), we get: \(b_1 = a_1+a_2\) and \(b_2 = a_1-a_2\) Since {u + v, u - v} is linearly independent, the only solution is \(b_1=0\) and \(b_2=0\). Therefore, we conclude that \(a_1+a_2=0\) and \(a_1-a_2=0\). Solving for \(a_1\) and \(a_2\), we find that \(a_1=0\) and \(a_2=0\). Thus, {u, v} is also linearly independent. In conclusion, we have proved that {u, v} is linearly independent if and only if {u + v, u - v} is linearly independent. #Part (b): Proving the equivalence of linear independence between {u, v, w} and {u + v, u + w, u + w}# (Note: I'll assume the third vector in the second set is indeed "u + w".)
04

Write the linear combinations of both sets of vectors.

Suppose we have two linear combinations: 3. \(c_1u + c_2v + c_3w = 0\) 4. \(d_1(u + v) + d_2(u + w) + d_3(u + w) = 0\)
05

Prove that if {u, v, w} is linearly independent, then {u + v, u + w, u + w} is linearly independent.

Assume {u, v, w} is linearly independent. This means that the only solution to equation (3) is when \(c_1=0\), \(c_2=0\), and \(c_3=0\). Now, we will work with equation (4): \(d_1(u + v) + d_2(u + w) + d_3(u + w) = (d_1 + d_2 + d_3)u + (d_1)v + (d_2 + d_3)w = 0\) Comparing this with equation (3), we get: \(c_1 = d_1 + d_2 + d_3\), \(c_2 = d_1\), and \(c_3 = d_2 + d_3\) Since {u, v, w} is linearly independent, the only solution is \(c_1=0\), \(c_2=0\), and \(c_3=0\). Therefore, we conclude that \(d_1 + d_2 + d_3=0\), \(d_1=0\), and \(d_2 + d_3=0\). Solving for \(d_1\), \(d_2\), and \(d_3\), we find that \(d_1=0\), \(d_2=0\), and \(d_3=0\). Thus, {u + v, u + w, u + w} is also linearly independent.
06

Prove that if {u + v, u + w, u + w} is linearly independent, then {u, v, w} is linearly independent.

Assume {u + v, u + w, u + w} is linearly independent. This means that the only solution to equation (4) is when \(d_1=0\), \(d_2=0\), and \(d_3=0\). Now, we will work with equation (3): \(c_1u + c_2v + c_3w = (c_1 + c_2)(u + v) + (c_1 + c_3)(u + w) + (-c_2 - c_3)(u + w) = 0\) Comparing this with equation (4), we get: \(d_1 = c_1 + c_2\), \(d_2 = c_1 + c_3\), and \(d_3 = -c_2 - c_3\) Since {u + v, u + w, u + w} is linearly independent, the only solution is \(d_1=0\), \(d_2=0\), and \(d_3=0\). Therefore, we conclude that \(c_1 + c_2=0\), \(c_1 + c_3=0\), and \(-c_2 - c_3=0\). Solving for \(c_1\), \(c_2\), and \(c_3\), we find that \(c_1=0\), \(c_2=0\), and \(c_3=0\). Thus, {u, v, w} is also linearly independent. In conclusion, we have proved that {u, v, w} is linearly independent if and only if {u + v, u + w, u + w} is linearly independent.

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Most popular questions from this chapter

Show that the set of convergent sequences is an infinite-dimensional subspace of the vector space of all sequences of real numbers. (See Exercise 21 in Section 1.3.)

Solve the following systems of linear equations by the method introduced in this section. (a) \(2 x_{1}-2 x_{2}-3 x_{3}=-2\) (a) $\begin{aligned} 3 x_{1}-3 x_{2}-2 x_{3}+5 x_{4} &=7 \\ x_{1}-x_{2}-2 x_{3}-x_{4} &=-3 \end{aligned}$ \(3 x_{1}-7 x_{2}+4 x_{3}=10\) (b) \(x_{1}-2 x_{2}+x_{3}=3\) \(2 x_{1}-x_{2}-2 x_{3}=6\) \(x_{1}+2 x_{2}-x_{3}+x_{4}=5\) (c) \(\quad x_{1}+4 x_{2}-3 x_{3}-3 x_{4}=6\) \(2 x_{1}+3 x_{2}-x_{3}+4 x_{4}=8\)Solve the following systems of linear equations by the method introduced in this section. (a) \(2 x_{1}-2 x_{2}-3 x_{3}=-2\) (a) $\begin{aligned} 3 x_{1}-3 x_{2}-2 x_{3}+5 x_{4} &=7 \\ x_{1}-x_{2}-2 x_{3}-x_{4} &=-3 \end{aligned}$ \(3 x_{1}-7 x_{2}+4 x_{3}=10\) (b) \(x_{1}-2 x_{2}+x_{3}=3\) \(2 x_{1}-x_{2}-2 x_{3}=6\) \(x_{1}+2 x_{2}-x_{3}+x_{4}=5\) (c) \(\quad x_{1}+4 x_{2}-3 x_{3}-3 x_{4}=6\) \(2 x_{1}+3 x_{2}-x_{3}+4 x_{4}=8\)

Let \(S\) be a nonempty set and \(F\) a field. Let \(\mathcal{C}(S, F)\) denote the set of all functions \(f \in \mathcal{F}(S, F)\) such that \(f(s)=0\) for all but a finite number of elements of \(S\). Prove that \(\mathcal{C}(S, F)\) is a subspace of \(\mathcal{F}(S, F)\).

Show that if \(S_{1}\) and \(S_{2}\) are subsets of a vector space \(\mathrm{V}\) such that \(S_{1} \subseteq S_{2}\), then $\operatorname{span}\left(S_{1}\right) \subseteq \operatorname{span}\left(S_{2}\right) .\( In particular, if \)S_{1} \subseteq S_{2}\( and \)\operatorname{span}\left(S_{1}\right)=\mathrm{V}$, deduce that span \(\left(S_{2}\right)=\mathrm{V}\). Visit goo.gl/Fi8Epr for a solution.

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