One of my teacher say to us that the QL decomposition is unique. I am not convinced. How can I demonstrate the decomposition is unique?
2026-04-03 03:19:01.1775186341
Demonstration of the uniquenes of a QL matrix factorisation
614 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 MATRIX-DECOMPOSITION
- Real eigenvalues of a non-symmetric matrix $A$ ?.
- Swapping row $n$ with row $m$ by using permutation matrix
- Block diagonalizing a Hermitian matrix
- $A \in M_n$ is reducible if and only if there is a permutation $i_1, ... , i_n$ of $1,... , n$
- Simplify $x^TA(AA^T+I)^{-1}A^Tx$
- Diagonalize real symmetric matrix
- How to solve for $L$ in $X = LL^T$?
- Q of the QR decomposition is an upper Hessenberg matrix
- Question involving orthogonal matrix and congruent matrices $P^{t}AP=I$
- Singular values by QR decomposition
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?
You can use the Gram-Schmidt process starting from the last vector of the matrix. Consider a matrix $$A=\left [ \begin{array}{c|c|c|c} v_1 & v_2 & \ldots &v_n \end{array} \right ]$$ Applying Gram-Schmidt,
$$ \begin{array} u u_n=v_n & e_{n}=\frac{u_n}{||u_n||} \\ u_{n-1}=v_{n-1}-(v_{n-1}\cdot e_n)e_n &e_{n-1}=\frac{u_{n-1}}{||u_{n-1}||} \\ \vdots & \vdots \\ u_{1}=v_1-(v_1\cdot e_2)e_2-\ldots -(v_{1}\cdot e_n)e_n & e_{1}=\frac{u_1}{||u_1||} \end{array}$$
Since $\langle v_n \rangle = \langle e_n\rangle, \ldots , \langle v_n,\ldots, v_1\rangle =\langle e_n,\ldots,e_1\rangle$ by construction, there exist real numbers $a_{(1j},\ldots a_{jj}$ for $1\le j \le n$ such that
$$v_{n-j}=\sum_{i=0}^{j}a_{((n-i),(n-j))}e_{n-i} \qquad 1\le j < n$$
We can suppose that these numbers are positive: if $a_{ij}$ is negative, it suffices to exchange $u_j$ with $-u_j$ and consider $-a_{ij}$. Then,
$$\left [ \begin{array}{c|c|c|c} v_1 & v_2 & \ldots &v_n \end{array} \right ]=\left [ \begin{array}{c|c|c|c} e_1 & e_2 & \ldots &e_n \end{array} \right ]\begin{pmatrix} a_{1,1} & 0 & \ldots & 0 \\ a_{2,1} & a_{2,2} & \ldots & 0\\ \vdots & \vdots & \ddots & 0 \\ a_{n,1} & a_{n,2} & \ldots & a_{n,n} \end{pmatrix}=QL$$
If the matrix has full rank all the entries of the matrix $L$ are strictly positive.
Now, suppose that $$A=Q_1L_1= Q_2L_2$$ with $Q_1,Q_2$ orthogonal, $L_1,L_2$ lower triangular. Then $$L_1^TL_1=L_1^TQ_1^TQ_1L_2=A^TA=L_2^TQ_2^TQ_2L_2=L_2^TL_2$$ Hence $$(L_2^{-1})^TL_1^T=L_2L_1^{-1}$$ Since $L_1^{-1},L_2$ are lower triangular, $L_2^{-1},L_1^T$ are upper triangular. This implies that the matrix $L_2L_1^{-1}$ is diagonal (it's upper and lower triangular). The above identity shows that if $a_i$,$b_i$ are the diagonal values of $L_1,L_2$, then $$\frac{a_i}{b_i}=\frac{b_i}{a_i}\implies a_i=b_i$$ because $a_i$, $b_i$ are positive. But then $$L_2L_1^{-1}=\mathbb{I} \implies L_2=L_1$$ Since $Q_1L_1=Q_2L_2$ and $L$ is invertible, $Q_1=Q_2$.