If two square matrices A and B are two $n\times n$ orthogonal matrices with determinant unity i.e., $\det A=\det B=+1$ and $A^TA=B^TB=I$, will the tensor product $C\equiv A\otimes B$ also be orthogonal and have determinant $+1$? Can we understand this without restricting to special choices for $n$ such as $n=2,3$ etc
2026-03-27 06:08:53.1774591733
Tensor product of two $n\times n$ orthogonal matrices with determinant $+1$
814 Views Asked by Bumbble Comm https://math.techqa.club/user/bumbble-comm/detail At
1
There are 1 best solutions below
Related Questions in MATRICES
- How to prove the following equality with matrix norm?
- I don't understand this $\left(\left[T\right]^B_C\right)^{-1}=\left[T^{-1}\right]^C_B$
- Powers of a simple matrix and Catalan numbers
- Gradient of Cost Function To Find Matrix Factorization
- Particular commutator matrix is strictly lower triangular, or at least annihilates last base vector
- Inverse of a triangular-by-block $3 \times 3$ matrix
- Form square matrix out of a non square matrix to calculate determinant
- Extending a linear action to monomials of higher degree
- Eiegenspectrum on subtracting a diagonal matrix
- For a $G$ a finite subgroup of $\mathbb{GL}_2(\mathbb{R})$ of rank $3$, show that $f^2 = \textrm{Id}$ for all $f \in G$
Related Questions in TENSOR-PRODUCTS
- Tensor product commutes with infinite products
- Inclusions in tensor products
- How to prove that $f\otimes g: V\otimes W\to X\otimes Y$ is a monomorphism
- What does a direct sum of tensor products look like?
- Tensors transformations under $so(4)$
- Tensor modules of tensor algebras
- projective and Haagerup tensor norms
- Algebraic Tensor product of Hilbert spaces
- Why $\displaystyle\lim_{n\to+\infty}x_n\otimes y_n=x\otimes y\;?$
- Proposition 3.7 in Atiyah-Macdonald (Tensor product of fractions is fraction of tensor product)
Related Questions in ROTATIONS
- Properties of a eclipse on a rotated plane to see a perfect circle from the original plane view?
- why images are related by an affine transformation in following specific case?(background in computer vision required)
- Proving equations with respect to skew-symmetric matrix property
- Finding matrix linear transformation
- A property of orthogonal matrices
- Express 2D point coordinates in a rotated and translated CS
- explicit description of eigenvector of a rotation
- Finding the Euler angle/axis from a 2 axes rotation but that lies on the original 2 axes' plane
- How to find a rectangle's rotation amount that is inscribed inside an axis-aligned rectangle?
- Change of basis with rotation matrices
Related Questions in ORTHOGONAL-MATRICES
- Minimum of the 2-norm
- Optimization over images of column-orthogonal matrices through rotations and reflections
- Functions on $\mathbb{R}^n$ commuting with orthogonal transformations
- A property of orthogonal matrices
- Rotating a matrix to become symmetric
- Question involving orthogonal matrix and congruent matrices $P^{t}AP=I$
- Finding An Orthogonal Transformation Matrix
- Which statement is false ?(Linear algebra problem)
- Every hyperplane contains an orthogonal matrix
- Show non-singularity of orthogonal matrix
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?
All of these properties can be understood by viewing the tensor product of matricies as a Kronecker product; I recommend looking into this.
As was suggested by @ Semiclassical we will use the fact that $$(A\otimes B)(C \otimes D)=(AC) \otimes (BD)$$ provided that the products are well defined. Take and $A,B \in O(n)$ As you pointed out, $AA^T=A^TA=BB^T=B^TB=I$ We consider $$(A\otimes B)(A^T \otimes B^T)$$ Transpose works nicely with the Kronecker product (I will leave it to you to check that): $$(A \otimes B)^T=(A^T \otimes B^T)$$ So we see that $(A \otimes B)\in O(n)$ As for the determinant we can use another property of the Kronecker product: $$det((A \otimes B))=det(A)^n det(B)^n$$