MHB Proving Linear Maps are One-to-One

  • Thread starter Thread starter baseball3030
  • Start date Start date
  • Tags Tags
    Linear
baseball3030
Messages
9
Reaction score
0
One to One

Prove that A linear map T: Rn->Rm is one to one:

Again, the only thing I can think of doing is possibly using rank nullity theorem but then again I think this can be proved by using independence assumption.
 
Last edited:
Physics news on Phys.org
Hint: find a basis of $\mathbb{R}^n$ (the columns of $I_n$ will do) and show that the image of this basis under $T$ cannot be linearly independent in $\mathbb{R}^m$. Use this to show that $\mathbf{0} \in \mathrm{R}^m$ has two preimages under $T$.​
 
From a previous topic, if $B$ is any basis for $\Bbb R^n$, then $T(B)$ is linearly independent if $T$ is 1-1.

Thus $\text{dim}(\text{im}(T)) = |T(B)| = n$.

Since any basis $C$ of $\Bbb R^m$ is a MAXIMAL linearly independent set, we have $n \leq m$, contradicting $m < n$.

Our only assumption was that $T$ was 1-1, so this cannot be the case.

(Bacterius' approach is good, too :))
 
Thread 'Derivation of equations of stress tensor transformation'
Hello ! I derived equations of stress tensor 2D transformation. Some details: I have plane ABCD in two cases (see top on the pic) and I know tensor components for case 1 only. Only plane ABCD rotate in two cases (top of the picture) but not coordinate system. Coordinate system rotates only on the bottom of picture. I want to obtain expression that connects tensor for case 1 and tensor for case 2. My attempt: Are these equations correct? Is there more easier expression for stress tensor...
Back
Top