Let $\mathbf{y} = \mathbf{Ax}$ represent a system of equations where $A\in\mathbb{R}^{m\times m}, x\in\mathbb{R}^{m\times 1}$. However rank of $\mathbf{A}$ is $m-1$. I add another equation $\mathbf{b'x} = y_1$. Then I can get $\mathbf{x}$ as $\mathbf{x}_1 = \left[\mathbf{A};\mathbf{b}\right]^{\dagger}\left[\mathbf{y};y_1\right]$, where, $\left[\mathbf{A};\mathbf{b}\right]$is of rank $m$ and the $\dagger$ indicates pseudo inverse as the matrix is of size $m+1\times m$. Now let us remove the first row of $\left[\mathbf{A};\mathbf{b}\right]$ and write \begin{equation} \mathbf{A}_1 = \left[\mathbf{A}(2:end,:);\mathbf{b}\right]\\ \mathbf{z} = \left[\mathbf{y}(2:end);y_1\right] \end{equation} If I calculate $\mathbf{x}_2= \mathbf{A}_1^{-1}\mathbf{z}$, then which of $\mathbf{x}_1$ and $\mathbf{x}_2$ will be a more accurate value of $\mathbf{x}$?
2026-04-06 04:15:08.1775448908
Replacing pinv with inv in MATLAB
638 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 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 MATLAB
- Taking snapshots of an animation in PDE toolbox in Matlab
- Including a time delay term for a differential equation
- Dealing with a large Kronecker product in Matlab
- Apply affine heat equation on images
- How to construct a B-spline from nodal point in Matlab?
- How to solve an algebraic Riccati equation when the Hamiltonian spectrum is too close to the imaginary axis.
- Error calculating diffusion equation solution by fft
- How to simulate a random unitary matrix with the condition that each entry is a complex number with the absolute value 1 in matlab
- Implementation help for Extended Euclidean Algorithm
- Optimization problem in Matlab
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?
More accurate in what sense?
Your first method, adding an arbitrary new equation and using the pseudoinverse, gives you a vector whose image under $[{\bf A};{\bf b}]$ is as close as possible (in Euclidean distance) to $[{\bf y}; y_1]$; out of those vectors with that same image, it chooses the one with minimum length. In general it will not satisfy any of the system of equations.
Your second method, ignoring the first equation entirely, gives you a vector that satisfies all the equations except the first one, but since that first equation was ignored completely, the first entry of ${\bf A} {\bf x}$ could be anything. The Euclidean distance from $[{\bf A}; {\bf b}] {\bf x}$ to $[{\bf y}; y_1]$ will be at least as great as, and probably greater than, what was obtained in the first method.
However, it looks like you don't really care about that new equation you added; you might be more concerned with the distance from ${\bf A} {\bf x}$ to ${\bf y}$. We don't know which method will make this one smaller.
But I don't know why you put that new equation in at all. Why not use the pseudoinverse of $\bf A$ in the first place?