How to Prove the Dimension of Ker $\phi^2$ in a Finite-Dimensional Vector Space?

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SUMMARY

The discussion centers on proving the dimension of the kernel of the operator $\phi^2$ in a finite-dimensional vector space $V$. It establishes that if $\phi: V \rightarrow V$ is a linear operator with $\text{dim}(\ker \phi) = k$ and $\text{dim}(V) = d$, then the dimension of the kernel of $\phi^2$ is given by the formula $\text{dim}(\ker \phi^2) = 2dk - k^2$. Participants shared solutions and hints, emphasizing the importance of understanding the properties of linear operators and tensor products.

PREREQUISITES
  • Understanding of linear operators in vector spaces
  • Familiarity with the concept of kernel in linear algebra
  • Knowledge of tensor products of vector spaces
  • Basic proficiency in finite-dimensional vector space theory
NEXT STEPS
  • Study the properties of linear operators and their kernels
  • Explore the concept of tensor products in more detail
  • Learn about the rank-nullity theorem in linear algebra
  • Investigate applications of linear transformations in finite-dimensional spaces
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Mathematicians, students of linear algebra, and anyone interested in advanced vector space theory and linear transformations will benefit from this discussion.

Chris L T521
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Thanks to those who participated in last week's POTW. I'll just say it's no fun unless more people participate!

This week's problem was again proposed by yours truly (it would be nice if more people proposed some problems! (Smile)).

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Problem: Let $\phi:V\rightarrow V$ be a linear operator on a finite-dimensional vector space $V$. Let $k=\text{dim}(\ker \phi)$, and let $d=\text{dim}(V)$. Let $\phi^2:V\otimes V\rightarrow V\otimes V$ be the unique linear operator which satisfies $\phi^2(v_1\otimes v_2) = \phi(v_1)\otimes \phi(v_2)$ for all $v_1, v_2\in V$. Prove that $\text{dim}(\ker\phi^2) = 2dk-k^2$.

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I will provide some hints for this week's problem:

Apply the rank-nullity theorem. Also note that if $V$ and $W$ are finite-dimensional vector spaces and $V\otimes W$ is the tensor product of $V$ with $W$, then $\text{dim}(V\otimes W) = \text{dim}(V)\cdot\text{dim}(W)$.

Remember to read the http://www.mathhelpboards.com/showthread.php?772-Problem-of-the-Week-(POTW)-Procedure-and-Guidelines to find out how to http://www.mathhelpboards.com/forms.php?do=form&fid=2!
 
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The week 5 POTW was correctly answered Sudharaka. Here's my solution:

Proof: By the rank-nullity theory, we know that

\[\text{dim}(\ker\phi) + \text{dim}(\text{Im}\,\phi) = \text{dim}(V).\]Thus, $\text{dim}(\text{Im}\,\phi) = \text{dim}(V) - \text{dim}(\ker\phi) = d-k$. Now, if we consider the map $\phi^2:V\otimes V\rightarrow V\otimes V$, we apply rank-nullity theorem again to obtain that \[\text{dim}(\ker\phi^2) + \text{dim}(\text{Im}\,\phi^2) = \text{dim}(V\otimes V)\]implying that\[\text{dim}(\ker\phi^2) = \text{dim}(V\otimes V) - \text{dim}(\text{Im}\,\phi^2).\]By properties of tensor product, we see that for a finite-dimensional vector space, $\text{dim}(V\otimes V) = (\text{dim}(V))^2$. Thus, we have in our case that\[\text{dim}(\ker\phi^2) = d^2 - \text{dim}(\text{Im}\,\phi^2).\]Now, observe that under $\phi^2$, $v_1\otimes v_2 \mapsto \phi(v_1)\otimes \phi(v_2)$. Since $\phi(v_1),\phi(v_2)\in\text{Im}\,\phi$, we have $\text{Im}(\phi^2)\subseteq\text{Im}(\phi)\otimes \text{Im}(\phi)$. In a similar fashion, one can show that $\text{Im}(\phi)\otimes \text{Im}(\phi)\subseteq\text{Im}(\phi^2)$, implying that $\text{Im}(\phi)\otimes \text{Im}(\phi)=\text{Im}(\phi^2)$. Thus, $\text{dim}(\text{Im}\,\phi^2) = (\text{dim}(\text{Im},\phi))^2=(d-k)^2$. Therefore, $\text{dim}(\ker\phi^2)= d^2 - (d-k)^2 = (d-(d-k))(d+(d-k)) = k(2d-k)=2dk-k^2$. Q.E.D.

and here's Sudharaka's solution:

By the Rank-Nullity Theorem,

\[\text{dim}(V\otimes V)=\text{dim}(\ker\phi^2)+\text{dim}(\text{im }\phi^2)\]Since, \(\text{dim}(V\otimes V) = \text{dim}(V)\cdot\text{dim}(V)=d^2\)\[\text{dim}(\ker\phi^2)=d^2-\text{dim}(\text{im }\phi^2)~~~~~~~~~~(1)\]\[\text{im }\phi^2=\{\phi^2(v_1\otimes v_2)~|~v_1\otimes v_2\in V\otimes V\}\]\[\Rightarrow \text{im }\phi^2=\{\phi(v_1)\otimes\phi(v_2)~|~v_1\otimes v_2\in V\otimes V\}=\phi(V)\otimes\phi(V)=(\text{im }\phi)\otimes(\text{im }\phi)\]\[\Rightarrow \text{dim}(\text{im }\phi^2)=\{\text{dim}(\text{im }\phi)\}^2~~~~~~~~(2)\]Considering the linear operator \(\phi\) and using the Rank-Nullity theorem we get,\[\text{dim}(V)=\text{dim}(\ker\phi)+\text{dim} (\text{im }\phi)\]\[\Rightarrow \text{dim} (\text{im }\phi)=d-k\]\[\Rightarrow \{\text{dim} (\text{im }\phi)\}^2=(d-k)^2~~~~~~~~~(3)\]By (2) and (3),\[\text{dim}(\text{im }\phi^2)=(d-k)^2\]Now by (1),\[\text{dim}(\ker\phi^2)=d^2-(d-k)^2=2dk-k^2\]
 

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