I want to find all $n \times n$ matrices $L$ that satisfy the following equation \begin{align*} L^* \rho L+ L \rho L^* = L^* L \rho + \rho L^* L \end{align*} for all selfadjoint $n \times n$ matrices $\rho$. Here $L^*$ denotes the adjoint of $L$.
2026-04-04 05:21:47.1775280107
The matrix equation $L^* \rho L+ L \rho L^* = L^* L \rho + \rho L^* L$
165 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
1
There are 1 best solutions below
Related Questions in LINEAR-ALGEBRA
- An underdetermined system derived for rotated coordinate system
- How to prove the following equality with matrix norm?
- Alternate basis for a subspace of $\mathcal P_3(\mathbb R)$?
- Why the derivative of $T(\gamma(s))$ is $T$ if this composition is not a linear transformation?
- Why is necessary ask $F$ to be infinite in order to obtain: $ f(v)=0$ for all $ f\in V^* \implies v=0 $
- I don't understand this $\left(\left[T\right]^B_C\right)^{-1}=\left[T^{-1}\right]^C_B$
- Summation in subsets
- $C=AB-BA$. If $CA=AC$, then $C$ is not invertible.
- Basis of span in $R^4$
- Prove if A is regular skew symmetric, I+A is regular (with obstacles)
Related Questions in MATRIX-EQUATIONS
- tensor differential equation
- Can it be proved that non-symmetric matrix $A$ will always have real eigen values?.
- Real eigenvalues of a non-symmetric matrix $A$ ?.
- How to differentiate sum of matrix multiplication?
- Do all 2-variable polynomials split into linear factors over the space of $2 \times 2$ complex matrices?
- Big picture discussion for iterative linear solvers?
- Matrix transformations, Eigenvectors and Eigenvalues
- Jordan chevaley decomposition and cyclic vectors
- If $A$ is a $5×4$ matrix and $B$ is a $4×5$ matrix
- Simplify $x^TA(AA^T+I)^{-1}A^Tx$
Trending Questions
- Induction on the number of equations
- How to convince a math teacher of this simple and obvious fact?
- Find $E[XY|Y+Z=1 ]$
- Refuting the Anti-Cantor Cranks
- What are imaginary numbers?
- Determine the adjoint of $\tilde Q(x)$ for $\tilde Q(x)u:=(Qu)(x)$ where $Q:U→L^2(Ω,ℝ^d$ is a Hilbert-Schmidt operator and $U$ is a Hilbert space
- Why does this innovative method of subtraction from a third grader always work?
- How do we know that the number $1$ is not equal to the number $-1$?
- What are the Implications of having VΩ as a model for a theory?
- Defining a Galois Field based on primitive element versus polynomial?
- Can't find the relationship between two columns of numbers. Please Help
- Is computer science a branch of mathematics?
- Is there a bijection of $\mathbb{R}^n$ with itself such that the forward map is connected but the inverse is not?
- Identification of a quadrilateral as a trapezoid, rectangle, or square
- Generator of inertia group in function field extension
Popular # Hahtags
second-order-logic
numerical-methods
puzzle
logic
probability
number-theory
winding-number
real-analysis
integration
calculus
complex-analysis
sequences-and-series
proof-writing
set-theory
functions
homotopy-theory
elementary-number-theory
ordinary-differential-equations
circles
derivatives
game-theory
definite-integrals
elementary-set-theory
limits
multivariable-calculus
geometry
algebraic-number-theory
proof-verification
partial-derivative
algebra-precalculus
Popular Questions
- What is the integral of 1/x?
- How many squares actually ARE in this picture? Is this a trick question with no right answer?
- Is a matrix multiplied with its transpose something special?
- What is the difference between independent and mutually exclusive events?
- Visually stunning math concepts which are easy to explain
- taylor series of $\ln(1+x)$?
- How to tell if a set of vectors spans a space?
- Calculus question taking derivative to find horizontal tangent line
- How to determine if a function is one-to-one?
- Determine if vectors are linearly independent
- What does it mean to have a determinant equal to zero?
- Is this Batman equation for real?
- How to find perpendicular vector to another vector?
- How to find mean and median from histogram
- How many sides does a circle have?
I assume that the matrices are real, $L^*=L^T$ and that $\rho$ is denoted by $R$ s.t. $R=R^T$.
$\textbf{Proposition}$. The solutions in $L$ are only all the scalar matrices.
$\textbf{Proof}$. Step 1. Let $(E_{i,j})_{i,j}$ be the canonical basis of $M_n(\mathbb{R})$. Here, for every $i$,
$L^TE_{i,i}L+LE_{i,i}L^T-L^TLE_{i,i}-E_{i,i}L^TL=0$. Seing the diagonal elements, we obtain that (except the entry $(i,i)$), the row $i$ and the column $i$ of $L$ are $0$; finally $L=diag((l_i)_i)$ is diagonal.
Step 2. Now the function $f:R\in S_n\mapsto 2LRL-L^2R-RL^2$ is $0$, that is,
$f=2L\otimes L-L^2\otimes I-I\otimes L^2=0$ over $S_n\subset \mathbb{R}^{n^2}$, where we stack the matrices into vectors, row by row.
cf. https://en.wikipedia.org/wiki/Kronecker_product
From $f=-(L\otimes I-I\otimes L)^2$, we deduce that
$spectrum(f)=(-(l_i-l_j)^2)_{i,j}$ and $f$ is diagonalizable.
It is not difficult to see that $f=0$ over $\mathbb{R}^{n^2}$ and, consequently, the $(l_i)_i$ are equal and $L$ is a scalar matrix.
EDIT. For Step 2, if you don't like the tensor products, then you can proceed as follows
When $i\not= j$, $f(E_{i,j})=-(l_i-l_j)^2E_{i,j},f(E_{j,i})=-(l_i-l_j)^2E_{j,i}$. Since $f(E_{i,j}+E_{j,i})=0$, we deduce that $l_i=l_j$.