Given two unitary and hermitian matrices with equal traces $A,B$, I'm trying to prove that they are similar and congruence matrices. I proved previously that if these two matrices have equal determinant but not necessarily equal traces, then they aren't necessarily similar congruence, by showing two examples of different cases, but in the case when they have the equal trace, I can't figure a way to show that these two matrices are similar and congruence. Any hint?
2026-03-26 06:34:57.1774506897
Given two unitary and hermitian matrices with equal traces, Prove that they are similar and congruence matrices.
91 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 UNITARY-MATRICES
- Operator norm and unitary matrix
- Unitary matrices are invertible.
- Square root of unitary matrix
- $AA^*A=A$ with eigenvalues $1$ and $0$, prove that $A$ is unitarily diagonalizable.
- Modifying unitary matrix eigenvalues by right multiplication by orthogonal matrix
- Parametrization of unitary matrices
- Is real power of unitary matrix unitary?
- How to calculate the unitaries satisfying $U_YXU_Y^\dagger=Y$ and $U_ZXU_Z^\dagger=Z$?
- A real symmetric cannot be similar to an antisymmetric matrix
- Numerical stability: cannot unitarily diagonalize normal matrices
Related Questions in HERMITIAN-MATRICES
- Let $M$ be an $n \times n$ complex matrix. Prove that there exist Hermitian matrices $A$ and $B$ such that $M = A + iB$
- Product of two Hermitian matrices
- Eigenvectors of a Hermitian matrix
- Does matrix modulus satisfy triangle inequality for Loewner order?
- Prove sum of products of Hermitian matrices to be Hermitian
- What is dimension over $\mathbb R$ of the space of $n\times n$ Hermitian matrices?
- Nearest positive semidefinite matrix to a complex-valued Hermitian matrix
- SVD for Hermitian Matrix
- How does one prove the determinant inequality $\det\left(6(A^3+B^3+C^3)+I_{n}\right)\ge 5^n\det(A^2+B^2+C^2)$?
- A normal matrix with real eigenvalues is Hermitian
Related Questions in SIMILAR-MATRICES
- Does every polynomial with a Perron root have a primitive matrix representation?
- Looking for verification that I correctly showed these matrices are similar
- Matrices similar to nilpotent
- Find the values of $a$ and $b$ such that the following matrices are similar
- Sufficient condition for a matrix to be diagonalizable and similar matrices
- Diagonalizable matrices with same geometric multiplicity for every eigenvalue similar?
- Proving two matrices are similar using the characteristic polynomial
- Is every matrix conjugate to its transpose in a continuous way?
- How do I find out that the following two matrices are similar?
- Similarity of $2 \times 2$ matrices
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?
Matrix “A” is Hermitian and Unitary. Hence eigenvalues of A are real and lie on the unit circle. Hence eigenvalues of A can be only 1 or -1. Same is the case for matrix B. Since traces of A and B are equal, the arithmetic multiplicities of the eigenvalues 1 and -1 for A and B must be equal individually which means A and B have the same eigenvalues. So they are similar. Moreover A is unitarily diagonalisable and hence it’s congruent to a diagonal matrix D and B is also congruent to the same diagonal matrix D since A and B have the same eigenvalues. Since congruence is an Equivalence Relation we conclude A congruent to B.