1 | initial version |
The given matrix equation implies that the minimal polynomial of $A$ divides $f(x):=p^2 x^{p^2} - q^2 x^{q^2} - 1$. It follows that $A$ can be constructed as a block diagonal matrix $\begin{bmatrix} C_g & 0\\ 0 & I_{n-d} \end{bmatrix}$ for any divisor $g(x)\mid f(x)$ of degree $d:=\deg g(x)\leq n$, where $C_g$ is the companion matrix of $g(x)$.
Here is a sample code that constructs and prints such matrices:
def compA(n,p,q,r):
assert p^2 == q^2 + r^2
R.<x> = PolynomialRing(QQ)
f = p^2*x^(p^2) - q^2*x^(q^2) - r^2
for g in divisors(f):
if g.degree()>n:
continue
A = block_diagonal_matrix(companion_matrix(g), identity_matrix(n-g.degree()))
print(A)
2 | No.2 Revision |
The given matrix equation implies that the minimal polynomial of $A$ divides $f(x):=p^2 x^{p^2} - q^2 x^{q^2} - 1$. It follows that $A$ can be constructed as a block diagonal matrix $\begin{bmatrix} C_g & 0\\ 0 & I_{n-d} \end{bmatrix}$ for any divisor $g(x)\mid f(x)$ of degree $d:=\deg g(x)\leq n$, where $C_g$ is the companion matrix of $g(x)$.
Here is a sample code that constructs and prints such matrices:
def compA(n,p,q,r):
assert p^2 == q^2 + r^2
R.<x> = PolynomialRing(QQ)
f = p^2*x^(p^2) - q^2*x^(q^2) - r^2
for g in divisors(f):
if g.degree()>n:
continue
A = block_diagonal_matrix(companion_matrix(g), identity_matrix(n-g.degree()))
print(A)
Similarly $A$ can be taken as a block diagonal matrix with blocks $C_{g_1}, \dots, C_{g_k}$ where each $g_i(x)\mid f(x)$ and $\sum_{i=1}^k \deg g_i(x) = n$.
3 | No.3 Revision |
The given matrix equation implies that the minimal polynomial of $A$ divides $f(x):=p^2 x^{p^2} - q^2 x^{q^2} - 1$. It follows that $A$ can be constructed as a block diagonal matrix matrix $\begin{bmatrix} C_g & 0\\ 0 & I_{n-d} \end{bmatrix}$ for any divisor $g(x)\mid f(x)$ of degree $d:=\deg g(x)\leq n$, where $C_g$ is the companion matrix matrix of $g(x)$.
Here is a sample code that constructs and prints such matrices:
def compA(n,p,q,r):
assert p^2 == q^2 + r^2
R.<x> = PolynomialRing(QQ)
f = p^2*x^(p^2) - q^2*x^(q^2) - r^2
for g in divisors(f):
if g.degree()>n:
continue
A = block_diagonal_matrix(companion_matrix(g), identity_matrix(n-g.degree()))
print(A)
Similarly More generally, $A$ can be taken as a block diagonal matrix with blocks $C_{g_1}, \dots, C_{g_k}$ C_{g_k}$, where each $g_i(x)\mid f(x)$ and $\sum_{i=1}^k \deg g_i(x) = n$.n$. Matrices similar to such $A$ will also satisfy the given matrix equation.
4 | No.4 Revision |
The given matrix equation implies that the minimal polynomial of $A$ divides $f(x):=p^2 x^{p^2} - q^2 x^{q^2} - 1$. It follows that $A$ can be constructed as a block diagonal matrix $\begin{bmatrix} C_g & 0\\ 0 & I_{n-d} \end{bmatrix}$ for any divisor $g(x)\mid f(x)$ of degree $d:=\deg g(x)\leq n$, where $C_g$ is the companion matrix of $g(x)$.
Here is a sample code that constructs and prints such matrices:
def compA(n,p,q,r):
assert p^2 == q^2 + r^2
R.<x> = PolynomialRing(QQ)
PolynomialRing(ZZ)
f = p^2*x^(p^2) - q^2*x^(q^2) - r^2
for g in divisors(f):
if g.degree()>n:
continue
A = block_diagonal_matrix(companion_matrix(g), identity_matrix(n-g.degree()))
print(A)
More generally, $A$ can be taken as a block diagonal matrix with blocks $C_{g_1}, \dots, C_{g_k}$, where each $g_i(x)\mid f(x)$ and $\sum_{i=1}^k \deg g_i(x) = n$. Matrices similar to such $A$ will also satisfy the given matrix equation.
5 | No.5 Revision |
The given matrix equation implies that the minimal polynomial of $A$ divides $f(x):=p^2 x^{p^2} - q^2 x^{q^2} - 1$. r^2$. It follows that $A$ can be constructed as a block diagonal matrix $\begin{bmatrix} C_g & 0\\ 0 & I_{n-d} \end{bmatrix}$ for any divisor $g(x)\mid f(x)$ of degree $d:=\deg g(x)\leq n$, where $C_g$ is the companion matrix of $g(x)$.
Here is a sample code that constructs and prints such matrices:
def compA(n,p,q,r):
assert p^2 == q^2 + r^2
R.<x> = PolynomialRing(ZZ)
f = p^2*x^(p^2) - q^2*x^(q^2) - r^2
for g in divisors(f):
if g.degree()>n:
continue
A = block_diagonal_matrix(companion_matrix(g), identity_matrix(n-g.degree()))
print(A)
More generally, $A$ can be taken as a block diagonal matrix with blocks $C_{g_1}, \dots, C_{g_k}$, where each $g_i(x)\mid f(x)$ and $\sum_{i=1}^k \deg g_i(x) = n$. Matrices similar to such $A$ will also satisfy the given matrix equation.
6 | No.6 Revision |
The given matrix equation implies that the minimal polynomial of $A$ divides $f(x):=p^2 x^{p^2} - q^2 x^{q^2} - r^2$. It follows that $A$ can be constructed as a block diagonal matrix $\begin{bmatrix} C_g & 0\\ 0 & I_{n-d} \end{bmatrix}$ for any monic divisor $g(x)\mid f(x)$ of degree $d:=\deg g(x)\leq n$, where $C_g$ is the companion matrix of $g(x)$.
Here is a sample code that constructs and prints such matrices:
def compA(n,p,q,r):
assert p^2 == q^2 + r^2
R.<x> = PolynomialRing(ZZ)
f = p^2*x^(p^2) - q^2*x^(q^2) - r^2
for g in divisors(f):
if g.degree()>n:
g.degree()>n and not g.is_monic():
continue
A = block_diagonal_matrix(companion_matrix(g), identity_matrix(n-g.degree()))
print(A)
More generally, $A$ can be taken as a block diagonal matrix with blocks $C_{g_1}, \dots, C_{g_k}$, where each $g_i(x)\mid f(x)$ $g_i(x)$ is a monic divisor of $f(x)$, and $\sum_{i=1}^k \deg g_i(x) = n$. Matrices similar to such $A$ will also satisfy the given matrix equation.
7 | No.7 Revision |
The given matrix equation implies that the minimal polynomial of $A$ divides $f(x):=p^2 x^{p^2} - q^2 x^{q^2} - r^2$. It follows that $A$ can be constructed as a block diagonal matrix $\begin{bmatrix} C_g & 0\\ 0 & I_{n-d} \end{bmatrix}$ for any monic divisor $g(x)\mid f(x)$ of degree $d:=\deg g(x)\leq n$, where $C_g$ is the companion matrix of $g(x)$.
Here is a sample code that constructs and prints such matrices:
def compA(n,p,q,r):
assert p^2 == q^2 + r^2
R.<x> = PolynomialRing(ZZ)
f = p^2*x^(p^2) - q^2*x^(q^2) - r^2
for g in divisors(f):
if g.degree()>n and or not g.is_monic():
continue
A = block_diagonal_matrix(companion_matrix(g), identity_matrix(n-g.degree()))
print(A)
More generally, $A$ can be taken as a block diagonal matrix with blocks $C_{g_1}, \dots, C_{g_k}$, where each $g_i(x)$ is a monic divisor of $f(x)$, and $\sum_{i=1}^k \deg g_i(x) = n$. Matrices similar to such $A$ will also satisfy the given matrix equation.