Question #18529

Suppose that {v1.....Vn} is a basis for the vector space V. Given any vector v element of V, we can express v as a linear combination v = X1V1+.....+XnVn. The uniqueness of this expression means that mapping v to the n-tuple of coefficients (X1...Xn) defines a function O: V - R^n. Prove that this function is a bijection.

Expert's answer

Conditions

Suppose that {v1Vn}\{\mathrm{v1}\dots \mathrm{Vn}\} is a basis for the vector space VV. Given any vector vv element of VV, we can express vv as a linear combination v=X1V1++XnVnv = X1V1 + \dots + XnVn. The uniqueness of this expression means that mapping vv to the nn-tuple of coefficients (X1Xn)(X1\dots Xn) defines a function O:VRnO: V - R^n. Prove that this function is a bijection.

Solution

A bijection (or bijective function or one-to-one correspondence) is a function giving an exact pairing of the elements of two sets. Every element of one set is paired with exactly one element of the other set, and every element of the other set is paired with exactly one element of the first set. There are no unpaired elements. In formal mathematical terms, a bijective function f:XYf: X \to Y is a one-to-one and onto mapping of a set XX to a set YY.

A bijection from the set XX to the set YY has an inverse function from YY to XX. If XX and YY are finite sets, then the existence of a bijection means they have the same number of elements. For infinite sets the picture is more complex, leading to the concept of cardinal number, a way to distinguish the various sizes of infinite sets.

The definition of bijection is below.

Function f:XYf: X \to Y is called bijection (and marked f:XYf: X \to Y) if:

1. x1X,x2X,(f(x1)=f(x2)x1=x2)\forall x_{1} \in X, \forall x_{2} \in X, (f(x_{1}) = f(x_{2}) \rightarrow x_{1} = x_{2})

2. yY,xXf(x)=y\forall y \in Y, \exists x \in X f(x) = y

Let's check these conditions for our function OO.


O:VRn,O(v)=(x1,,xn)O: V \rightarrow R^{n}, O(v) = (x_{1}, \dots, x_{n})

u,wV\forall u, w \in V let's consider if (O(u)=O(w)(O(u) = O(w) involves u=w)u = w)

O(u):u=u1v1+u2v2++unvn;O(u)=(u1,,un)O(u): u = u_{1}v_{1} + u_{2}v_{2} + \dots + u_{n}v_{n}; O(u) = (u_{1}, \dots, u_{n})O(w):w=w1v1+w2v2++wnvn;O(w)=(w1,,wn)O(w): w = w_{1}v_{1} + w_{2}v_{2} + \dots + w_{n}v_{n}; O(w) = (w_{1}, \dots, w_{n})


If O(u)=O(w)O(u) = O(w), then (u1,,un)=(w1,,wn)(u_{1}, \ldots, u_{n}) = (w_{1}, \ldots, w_{n}) and this could be if and only if ui=wi i=1,nu_{i} = w_{i} \ \forall i = \overline{1, n}.

That means, the 1st1^{\text{st}} condition is true for function OO.

Let's check the 2nd2^{\text{nd}}.

As we know

y=(y1,,yn)O(V) \forall y = (y_{1},\dots ,y_{n})\in O(V)\ \exists linear combination y1v1+y2v2++ynvny_{1}v_{1} + y_{2}v_{2} + \dots + y_{n}v_{n}, and as we know that yVy\in V, so it means that \exists some vector aa, for which a=y1v1+y2v2++ynvna = y_1v_1 + y_2v_2 + \dots + y_nv_n. If it was wrong, then the element yy couldn't exist in O(V)O(V).

So, the second condition is also true.

The function OO is a bijection on vector space VV.

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