I was reading this post about the fact that the rank of a matrix denotes how much information the matrix holds. The author defines a $m\times n$ matrix A and sais that if it has rank $p$ we can decompose it as $A=UV^T$, where $U$ is a $m\times p$ matrix and $C$ is a $n\times p$ matrix. But then to store the information we would need to store $mp+np$ entries no? Why is $2np-p^2$?
2026-04-04 05:21:09.1775280069
Why do we need to store $2np-p^2$ entries and not $mp+np$ entries for a rank $p$ matrix?
119 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
Related Questions in MATRIX-RANK
- Bases for column spaces
- relation between rank of power of a singular matrix with the algebraic multiplicity of zero
- How to determine the rank of the following general $\mathbb{R}$-linear transformation.
- How to prove the dimension identity of subspace? i.e. $\dim(V_1) + \dim(V_2) = \dim(V_1 + V_2) + \dim(V_1 \cap V_2)$
- How can I prove that $[T]_B$ is a reversible matrix?
- can I have $\det(A+B)=0$ if $\det(A)=0$ and $\det(B) \neq 0$?
- Let $A$ be a diagonalizable real matrix such as $A^3=A$. Prove that $\mbox{rank}(A) = \mbox{tr}(A^2)$
- Row permuation of a matrix for a non-zero diagonal
- Tensor rank as a first order formula
- Rank of Matrix , Intersection of 3 planes
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 in general specify $mp+np-p^2$ elements of an $m\times n$ matrix of rank $p$ over $\mathbb R$, the rest will be uniquely determined.
To (roughly) see that, let $A$ be an $m\times n$ matrix of rank $p$. WLOG assume the first $p$ rows are linearly independent. To specify those, you need $np$ (mostly) independent values. (I am saying "mostly" because there are constraints given by inequalities - all the minors of rank $p$ are nonzero.) The remaining $m-p$ rows are linear combinations of the first $p$ rows, so to specify those you need an $(m-p)\times p$ matrix of coefficients.
Altogether you need to specify $np+(m-p)p=mp+np-p^2$ parameters.
Staying for a moment with the field $\mathbb R$: this proof can be further formalised to state that the subset of all matrices of rank $p$ in $M_{mn}(\mathbb R)$ makes up for an $mp+np-p^2$-dimensional (smooth) manifold (informally - an $mp+np-p^2$-dimensional smooth "surface" embedded in $M_{mn}(\mathbb R)$). (Details omitted as probably too tedious, but the proof would proceed roughly the same as above.) I am saying that because the notion of "$mp+np-p^2$ independent variables..." is a bit vague, but one possible interpretation what it means is precisely that this set of matrices makes up an $mp+np-p^2$-dimensional manifold.
(Note I am not an expert in algebraic geometry, but I am sure within this discipline there will be another meaning of what "... independent variables ..." means. After all, the set of all matrices of rank $p$ is a set of solutions of a bunch of polynomial equations - all the minors of rank $p+1$ are zero, and a bunch of polynomial inequalities - all the minors of rank $p$ are nonzero... At least the former set produces what is called an "algebraic variety" which has a well-defined concept of dimension.)
The statement is false in general for finite fields. Take, for example, $\mathbb Z_2$ and take also $m=n=p=2$: You would expect to need $2^2=4$ independent parameters, but really you have only $3$ independent parameters. Namely, the matrix $$\begin{bmatrix}a&b\\c&d\end{bmatrix}\in M_{22}(\mathbb Z_2)$$ is of rank $2$ if and only if $ad-bc\ne 0$, but this means $ad-bc=1$ and so you can only pick three out of $a,b,c,d$ and the fourth (if exists) will be uniquely determined.