Worksheet 2

Problem 4

Let VV be a vector space, let u,vVu, v \in V be distinct. Show that {u,v}\set{u, v} is linearly dependent if and only if uu and vv are multiples of each other.

Solution.

We have two directions to prove.

"    \implies"

Assume that {u,v}\set{u, v} is linearly dependent. Then there exist a,bFa, b \in \F not both zero such that au+bv=0au + bv = 0. If a0a \neq 0, then we may multiply both sides by a1a^{-1} to get

u+bav=0    u=(ba)v.u + \frac{b}{a} v = 0 \implies u = \p{-\frac{b}{a}} v.

Otherwise, b0b \neq 0, and we analogously get

v=(ab)u,v = \p{-\frac{a}{b}} u,

so in both cases, uu and vv are multiples of each.

"    \impliedby"

Suppose uu and vv are multiples of each other. Without loss of generality, we assume that uu is a multiple of vv, i.e., there exists a scalar cFc \in \F such that u=cvu = cv. In the other case, we can swap uu and vv in the following proof. Rearranging u=cvu = cv, we get

0=ucv=1u+(c)v.0 = u - cv = 1u + \p{-c}v.

Thus, the zero vector is a non-trivial linear combination of uu and vv since 101 \neq 0, so {u,v}\set{u, v} is linearly dependent.

Problem 5

Let F\F be a field of characteristic not equal to two, and let VV be a vector space over F\F.

  1. Let u,vVu, v \in V be distinct. Prove that {u,v}\set{u, v} is linearly independent if and only if {u+v,uv}\set{u + v, u - v} is linearly independent. What goes wrong if F\F has characteristic two?
  2. Let u,v,wVu, v, w \in V be distinct. Prove that {u,v,w}\set{u, v, w} is linearly independent if and only if {u+v,u+w,v+w}\set{u + v, u + w, v + w} is linearly independent. What goes wrong if F\F has characteristic two?
Solution.
  1. "    \implies"

    Assume that {u,v}\set{u, v} is linearly independent. Let's show that {u+v,uv}\set{u + v, u - v} is linearly independent. Suppose we have scalars a,bFa, b \in \F such that

    a(u+v)+b(uv)=0.a\p{u + v} + b\p{u - v} = 0.

    We need to show that a=b=0a = b = 0. Distributing and refactoring, we get

    (a+b)u+(ab)v=0,\p{a + b}u + \p{a - b}v = 0,

    but {u,v}\set{u, v} is linearly independent, so this forces

    {a+b=0,ab=0.\begin{cases} a + b = 0, \\ a - b = 0. \end{cases}

    Adding the equations together and subtracting them, we get the system

    {2a=0,2b=0.\begin{cases} 2a = 0, \\ 2b = 0. \end{cases}

    Since F\F has characteristic different from 22, we know 202 \neq 0, so 12F\frac{1}{2} \in \F. Thus, multiplying the equations by 12\frac{1}{2}, we get a=b=0a = b = 0.

    "    \impliedby"

    Assume that {u+v,uv}\set{u + v, u - v} is linearly independent. Now assume a,bFa, b \in \F are such that au+bv=0au + bv = 0. We need to show that a=b=0a = b = 0.

    In order to use the fact that {u+v,uv}\set{u + v, u - v}, we need to turn au+bvau + bv into a linear combination of u+vu + v and uvu - v. Let's work backwards: assume there were scalars c,dFc, d \in \F such that

    au+bv=c(u+v)+d(uv)=(c+d)u+(cd)v.\begin{aligned} au + bv &= c\p{u + v} + d\p{u - v} \\ &= \p{c + d}u + \p{c - d}v. \end{aligned}

    By comparing coefficients, we know that if we could solve

    {a=c+d,b=cd\begin{cases} a = c + d, \\ b = c - d \end{cases}

    for cc and dd, then our idea works. Adding and subtracting, this system becomes

    {a+b=2c,ab=2d.\begin{cases} a + b = 2c, \\ a - b = 2d. \end{cases}

    Like before, because F\F has characteristic not equal to 22, we can divide by 22, so

    {c=a+b2,d=ab2.\begin{cases} c = \frac{a + b}{2}, \\ d = \frac{a - b}{2}. \end{cases}

    With these choices of cc and dd, we have

    0=au+bv=(a+b2)(u+v)+(ab2)(uv).0 = au + bv = \p{\frac{a+b}{2}}\p{u + v} + \p{\frac{a-b}{2}}\p{u - v}.

    So because {u+v,uv}\set{u + v, u - v} is linearly independent, this forces the coefficients to be 00:

    {a+b2=0,ab2=0.\begin{cases} \frac{a + b}{2} = 0, \\ \frac{a - b}{2} = 0. \end{cases}

    Solving like before, we get a=b=0a = b = 0.

    If F\F has characteristic 22, then 1+1=2=01 + 1 = 2 = 0, so 1=11 = -1. This means that uv=u+(1)v=u+vu - v = u + \p{-1}v = u + v, and so {u+v,uv}\set{u + v, u - v} can never be linearly dependent. As a concrete example, let F=Z2\F = \Z_2 and V=F2V = \F^2. Then if u=(10)u = \begin{pmatrix} 1 \\ 0 \end{pmatrix} and v=(01)v = \begin{pmatrix} 0 \\ 1 \end{pmatrix}, then {u,v}\set{u, v} is linearly independent, but

    u+v=(11)anduv=(11)=(11).u + v = \begin{pmatrix} 1 \\ 1 \end{pmatrix} \quad\text{and}\quad u - v = \begin{pmatrix} \phantom{-}1 \\ -1 \end{pmatrix} = \begin{pmatrix} 1 \\ 1 \end{pmatrix}.
  2. This is almost identical to part 1, so I'll omit it.