4.2: Elementary properties of vector spaces
( \newcommand{\kernel}{\mathrm{null}\,}\)
We are going to prove several important, yet simple, properties of vector spaces. From now on, V will denote a vector space over F.
Proposition 4.2.1. Every vector space has a unique additive identity.
Proof. Suppose there are two additive identities 0 and 0′ Then
0′=0+0′=0,
where the first equality holds since 0 is an identity and the second equality holds since 0′ is an identity. Hence 0=0′, proving that the additive identity is unique.
Proposition 4.2.2. Every v∈V has a unique additive inverse.
Proof. Suppose w and w′ are additive inverses of v so that v+w=0 and v+w′=0 Then
w=w+0=w+(v+w′)=(w+v)+w′=0+w′=w′.
Hence w=w′, as desired.
Since the additive inverse of v is unique, as we have just shown, it will from now on be denoted by −v We also define w−v to mean w+(−v) We will, in fact, show in Proposition 4.2.5 below that −v=−1v
Proposition 4.2.3. 0v=0 for all v∈V.
Note that the 0 on the left-hand side in Proposition 4.2.3 is a scalar, whereas the 0 on the right-hand side is a vector.
Proof. For v∈V, we have by distributivity that
0v=(0+0)v=0v+0v.
Adding the additive inverse of 0v to both sides, we obtain
0=0v−0v=(0v+0v)−0v=0v.
Proposition 4.2.4. a0=0 for every a∈F.
Proof. As in the proof of Proposition 4.2.3, if a∈F, then
a0=a(0+0)=a0+a0.
Adding the additive inverse of a0 to both sides, we obtain 0=a0, as desired.
Proposition 4.2.5. (−1)v=−v for every v∈V.
Proof. For v∈V, we have
v+(−1)v=1v+(−1)v=(1+(−1))v=0v=0,
which shows that (−1)v is the additive inverse −v of v.
Contributors
- Isaiah Lankham, Mathematics Department at UC Davis
- Bruno Nachtergaele, Mathematics Department at UC Davis
- Anne Schilling, Mathematics Department at UC Davis
Both hardbound and softbound versions of this textbook are available online at WorldScientific.com.