Is a Finite-Dimensional Module with Distinct Diagonal Entries Cyclic?

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  • Thread starter Chris L T521
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In summary, a finite-dimensional module is a mathematical structure defined over a ring that satisfies certain properties. Having distinct diagonal entries in a module means that each element has a unique value on the diagonal of its matrix representation, simplifying calculations and proofs. A module is cyclic if it can be generated by a single element, and examples of cyclic finite-dimensional modules can be found in various algebraic structures. Having distinct diagonal entries in a cyclic finite-dimensional module can greatly simplify its structure and lead to important properties and theorems.
  • #1
Chris L T521
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Here's this week's problem.

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Problem: Let $V$ be a finite-dimensional $K[X]$-module, and let $\phi$ be the associated operator on $V$. Suppose that $\Delta$ represents $\phi$ with respect to some basis. Prove that if $\Delta$ is a diagonal matrix (no nonzero entries off the diagonal), and the diagonal entries of $\Delta$ are pairwise distinct, then $V$ is a cyclic $K[X]$-module.

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  • #2
This week's question was correctly answered by jakncoke. You can find his solution below.

Let V be a n-dimensional module $K[X]$. $T: V \to V$ be an operator with respect to some basis.

Char(T) = (x-$\lambda_{1}$)...(x-$\lambda_{n}$), where $\lambda_{i}$ are the corresponding diagonal entries of the matrix.
Deg(Char(T)) = n, since T has n distinct eigen values, and thus n distinct eigen vectors.

Now if f(x) was the minimal polynomial for $T$
then f(x) divides Char(A).
f(x) = p(x)Char(A). so the $\lambda_i$ are also roots of f(x).
Since Deg(f(x)) $\leq n$, and Deg(f(x)) = Deg(Char(A)) = n, it stands that Char(A) = f(x).I will now prove that there exists a $v \in K[X]$, $\{I_v,...,(T)^{n-1}(v)\}$ is linearly independent set.
Assume that there exists no v with this property,
Then for any vector v, we can find not all zero scalars $c_1,..c_i \in X$ s.t $c_1v + ... + c_nT^{n-1}(v) = 0$
So this means every vector v has, including all the n eigenvectors $e_1+...+e_n$ corresponding to distinct n eigenvalues, have a corresponding polynomial in $f_i \in X[F]$, such that $f_{i}(T)(e_1+...+e_n) = f_{i}(T)e_1 ... + f_{i}(T)e_n = 0$ But deg($f_{i}(x)) < n$, which cannot be so since it is less than the deg of the min polynomial.
so it has aleast one vector which makes the above set lin. independent. Thus there exists a v s.t that $c_1v + ... + c_nT^{n-1}(v) = 0$ implies $c_1,..,c_n = 0$
Thus $v \in K[X]$, $\{I_v,...,(T)^{n-1}(v)$

Since Dim(V) = n , and for some v, $\{I_v,...,T^{n-1}(v)\}$ has n lin. independent vectors, it spans $K[X]$ and thus $K[X]$ is cyclic

Here's my solution as well:

Suppose \begin{equation*}
\Delta =
\left(
\begin{array}{cccc}
\lambda_1 & 0 & \cdots & 0 \\
0 & \lambda_2& \cdots & 0 \\
\vdots& \vdots & \ddots & \vdots\\
0 & 0& \cdots &\lambda_n \\
\end{array}
\right)
\end{equation*}
where $\lambda_i \neq \lambda_j$, for $i \neq j;\ i,j = 1,2,\cdots, n$. Then for $k=1,2,\cdots,n-1$,
\begin{equation*}
\Delta^k = \left(
\begin{array}{cccc}
\lambda^k_1 & 0 & \cdots & 0 \\
0 & \lambda^k_2& \cdots & 0 \\
\vdots& \vdots & \ddots & \vdots\\
0 & 0& \cdots &\lambda^k_n \\
\end{array}
\right)
\end{equation*}

Let $v = (1,1,\cdots,1)^T \in V$, then for $k=1,2,\cdots,n-1$,
$$\phi^k(v) = \Delta^k v = (\lambda^k_1, \lambda^k_2, \cdots, \lambda^k_n)^T.$$

Now we prove that $\{v,\phi(v),\phi^2(v), \cdots, \phi^{n-1}(v)\}$ are linearly independent. Suppose for $k_1,k_2,\cdots,k_n \in K$,
$$k_1 v + k_2\phi(v) + k_3\phi^2(v) + \cdots + k_n\phi^{n-1}(v) = 0.$$

i.e.

\begin{equation*} k_1
\left(
\begin{array}{c}
1 \\
1\\
\vdots \\
1\\
\end{array}
\right)
+k_2 \left(
\begin{array}{c}
\lambda_1 \\
\lambda_2\\
\vdots \\
\lambda_n\\
\end{array}
\right) +\cdots+ k_n \left(
\begin{array}{c}
\lambda^{n-1}_1 \\
\lambda^{n-1}_2\\
\vdots \\
\lambda^{n-1}_n\\
\end{array}
\right) = 0.
\end{equation*}

That is
\begin{equation*}
\left(
\begin{array}{cccc}
1 & \lambda_1 & \cdots & \lambda^{n-1}_1 \\
1 & \lambda_2& \cdots & \lambda^{n-1}_2 \\
\vdots& \vdots & \ddots & \vdots\\
1 & \lambda_n& \cdots &\lambda^{n-1}_n \\
\end{array}
\right)
\left(
\begin{array}{c}
k_1 \\
k_2\\
\vdots \\
k_n\\
\end{array}
\right) = 0.
\end{equation*}

The matrix is a Vandermonde Matrix above, therefore
\begin{equation*}
\det
\left(
\begin{array}{cccc}
1 & \lambda_1 & \cdots & \lambda^{n-1}_1 \\
1 & \lambda_2& \cdots & \lambda^{n-1}_2 \\
\vdots& \vdots & \ddots & \vdots\\
1 & \lambda_n& \cdots &\lambda^{n-1}_n \\
\end{array}
\right) = \prod_{1\leqslant i < j \leqslant n} (\lambda_i - \lambda_j).
\end{equation*}

By the presumption, $\lambda_i \neq \lambda_j$, for $i \neq j$. Hence the determinant above is non-zero. Therefore the matrix is non-singular. Thus the equations admit only zero solution. i.e.
$$k_1 = k_2 = \cdots = k_n = 0.$$
Hence $\{v,\phi(v),\phi^2(v), \cdots, \phi^{n-1}(v)\}$ are linearly independent, and it is a basis for $V$. By definition, $V$ is a cyclic $K[X]$-module.
 

FAQ: Is a Finite-Dimensional Module with Distinct Diagonal Entries Cyclic?

What is a finite-dimensional module?

A finite-dimensional module is a mathematical structure that is similar to a vector space, but instead of being defined over a field, it is defined over a ring. It consists of a set of elements and operations that satisfy certain properties, such as closure under addition and scalar multiplication.

What does it mean for a module to have distinct diagonal entries?

A module having distinct diagonal entries means that each element in the module has a unique value on the diagonal of its matrix representation. This is important because it allows us to define a module in terms of its diagonal entries, which can simplify calculations and proofs.

What does it mean for a module to be cyclic?

A module is cyclic if it can be generated by a single element. This means that all other elements in the module can be obtained by applying the operations of the module to this single generating element. Cyclic modules are important in many areas of mathematics, including representation theory and ring theory.

What are some examples of cyclic finite-dimensional modules?

Some examples of cyclic finite-dimensional modules include the set of all polynomials of degree n over a field, the set of all n-by-n matrices over a field, and the group of all permutations of n elements. In general, cyclic modules can be found in many algebraic structures such as rings, fields, and groups.

How does having distinct diagonal entries affect the structure of a cyclic finite-dimensional module?

Having distinct diagonal entries can greatly simplify the structure of a cyclic finite-dimensional module. It allows us to define the module in terms of its diagonal entries, making it easier to understand and work with. Additionally, having distinct diagonal entries can lead to important properties and theorems, such as the Cayley-Hamilton theorem in linear algebra.

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