Linear algebra is concerned with vector spaces of all dimensions and linear transformations between them. This includes: systems of linear equations, Hamel basis, dimension, matrices, determinant, trace, eigenvalues and eigenvectors, diagonalization, etc. For questions specifically concerning ...

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Quadratic Functions

Consider the strictly convex quadratic function $f(x) = \frac{1}{2}x^tPx - q^tx + r,$ where $P \in \mathbb{R}^{n \times n}$ is a positive definite matrix, $q \in \mathbb{R}^n$ and $r \in \mathbb{R}.$ ...
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Let $v_1 = (1, 0); v_2 = (1,-1) \space\text{and} \space v_3 = (0, 1).$

I am stuck on the following problem : Let $v_1 = (1, 0); v_2 = (1,-1) \space\text{and} \space v_3 = (0, 1).$ How many linear transformations $T \colon \Bbb R^2 \to \Bbb R^2$ are there such ...
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What is the fastest algorithm to solve the eigenvector of a transition matrix of a Markov Chain?

Given a transition matrix of a Markov chain, $P$, I want to solve the left eigenvector of $P$, namely a row vector $\alpha$ such that $$ \alpha P = \alpha $$ I know the algorithm to solve a linear ...
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Identities with Adjoints

The classical adjoint $\operatorname{adj}(A)$ of a square matrix $A$ has its $(i,j)$-th entry equal to the $(j,i)$-th cofactor (signed minor) of $A$. If $\det(A)\neq0$ we can define the inverse ...
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Diagonalizable matrices in $M_{2\times 2}(\mathbb{F}_2)$

List all diagonalizable $2\times 2$ matrices over the a field $F$ consisting of two elements $0$ and $1$. I want to try and do this using C++, but perhaps this isn't the place to ask. I have an idea ...
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Finding solutions to the equation

I want to find possible solution satisfying both the equation: $\sum_{i=1}^{n} f_i^{2} = n$ $\sum_{i=1}^{n} f_i=0$ As the number of equations less than number of variables can we just comment on ...
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Sum of unitary transformation

I am having struggle with this question. suppose I have two unitary matrices. Is their sum is normal ? I am try to give an example to show it is not true and I can not find. I try to proof and I ...
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Cayley-Hamilton theorem on square matrices

Can anyone help me by giving the proof of the Cayley-Hamilton theorem? It states that every square matrix $A$ satisfies its own characteristic equation: $p_{A}(A)=0$. I could prove it when $A$ has ...
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what are the structures of linear preservers of right matrix majorization?

what are the structures of linear preservers of right matrix majorization? I think the linear preserver $T:\mathbb{R_p}\rightarrow \mathbb{R_n}$ should be of the form $T(x)=rxA$, where r is a scalar ...
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Questions on differential equations of matrices

I have a differential equation $$N'_x(x)=G(x)N(x)$$ where $N, G$ are $2\times2$ matrices depending on $x$, and $G$ satisfies $\sigma G+G\sigma=0$, $\sigma$ is one half of the pauli matrix, i.e. ...
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Non-parallel vectors confusion

I've got a section in my textbook about non-parallel vectors, it says: For two non-parallel vectors a and b, if $\lambda a + \mu b = \alpha a + \beta b$ then $\lambda = \alpha $ and $\mu = \beta $ ...
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Let $\alpha$ and $\beta$ be two distinct eigenvalues of $A$ then $ A^3 = \frac{\alpha^3-\beta^3}{\alpha-\beta}A-\alpha\beta(\alpha+\beta)I$?

Let $\alpha$ and $\beta$ be two distinct eigenvalues of a $2\times2$ matrix $A$. Then which of the following statements must be true. 1 - $A^n$ is not a scalar multiple of identity matrix for any ...
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Existence criteria for the LU decomposition of a tridiagonal matrix

In this link, the following result is presented without proof: Let $a, b, c$ be the lower off diagonal, diagonal, and upper off diagonal elements of a tridiagonal matrix. A pivotless LU ...
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Diagonalizable Operators: An Operational Extension

Let $T$ be a diagonalizable operator on a vector space $V$. Prove that the operator $$a_nT^n + a_{n-1}T^{n-1}+\cdots+a_1T+a_0 Id_V$$ on $V$ is also diagonalizable for any scalars $a_1, ...
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Elementary Linear Algebra

What does it mean when someone says "find a fundamental set of solutions for the system y' $=A$ y"? That is, the system $$ {\bf{y'}} =A {\bf{y}}. $$
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Orthogonalization of a set of random vectors

Suppose $w_1$ and $w_2$ are zero-mean jointly Gaussian random vectors. Further suppose that they have a covariance matrix given by $$ \mathbf{cov}\begin{bmatrix}w_1 \\ w_2\end{bmatrix} = ...
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linear Transformation of polynomial with degrees less than or equal to 2

I would like to determine if the following map $T$ is a linear transformation: \begin{align*} T: P_{2} &\to P_{2}\\ A_{0} + A_{1}x + A_{2}x^{2} &\mapsto A_{0} + A_{1}(x+1) + A_{2}(x+1)^{2} ...
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How to estimate linear operator?

If I have an input column vector $\mathbf{x}$ with length $N$ that is linearly transformed by an $N \times N$ matrix $\mathbf{T}$ into $\mathbf{y}$: \begin{align} \mathbf{y} = \mathbf{T}{x} ...
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Finding a unit vector perpendicular to another vector

For example we have the vector $8i + 4j - 6k$, how can we find a unit vector perpendicular to this vector?
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Proving that this is not a positive operator

Let $\rho$ be a density operator (i.e., it is an ortho projection with rank one, and also a positive operator). Say $X = X^*$ with a spectral decomposition $X = 1P_1 + 4P_4 + 16P_{16}$, and $Y = Y^*$ ...
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Conjugacy classes for su(2)

I am wondering how to calculate the conjugacy classes of the Lie algebra su(2). My guess is that they can be easily evaluated under the similarity transformations but I am not sure it that is all to ...
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Definition of the inverse matrix and matrix of minors

Explain what it means that a matrix $A$ is invertible. Define the inverse matrix $A^{-1}$. I said: A matrix $A$ is invertible if $\det(A) \neq 0$. The inverse matrix $A^{-1}$ is a matrix such ...
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minimization of function $F(a) = \int_0^1 (G(x) - P_a(x))^2\,dx$?

I have the following questions referring to this link to a previous question on this site : Approximate a function over the interval $[0, 1]$ by a polynomial of degree $n$ (or less). a) Explain why ...
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Linear Independent Rows vs. Columns

$A$ is an $M\times N$ matrix with linearly independent rows and linearly independent columns. Prove that $A$ must be square matrix.
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Dimension of the set of self-adjoint operators

I'm trying to figure out what the dimension of the set of self-adjoint operators on V would be, or in more concrete terms: Let $dim V =n$. Let $S(V)$ denote the set of self-adjoint linear operators ...
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Easy way to check for a valid solution in this triple equality?

Let's say I have the following equalities $a_1x_1 + a_2x_2 + a_3x_3 + a_4x_4 = b_1x_1 + b_2x_2 + b_3x_3 + b_4x_4 = c_1x_1 + c_2x_2 + c_3x_3 + c_4x_4$ Where the $a$'s, $b$'s, and $c$'s are known, ...
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636 views

Positive Definite Matrix Determinant

Prove that a positive definite matrix has positive determinant and positive trace. In order to be a positive determinant the matrix must be regular and have pivots that are positive which is ...
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Frequency determination

the time averaged total energy, $\bar E$, has the following $\varepsilon$ expansion in $D$ dimension: \begin{equation} \bar{E}=\varepsilon^{2-D}\frac{E_0}{2\lambda}+ \varepsilon^{4-D}E_1 ...
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Arrangements of affine hyperplanes

Fix $n>0$ and $X\subseteq\mathbb{R}^n$. Call a function $f:X\longrightarrow \mathbb{R}$ linear if it is of the form $$ f(\bar{x})=a_1x_1+\ldots+a_nx_n+b $$ for some $a_i,b\in\mathbb{R}$. Now ...
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Diagonalizing a Unitary Matrix

I'm trying to diagonalize the following unitary matrix: $\frac {1}{\sqrt{5}}\begin{pmatrix} 1 &2 \\ 2i &-i \end{pmatrix}$ My approach is to find the eigenvalues and eigenvectors in the usual ...
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How to show this matrix is invertible?

Let $f:H \times H \to \mathbb{R}$ be a mapping with $H$ a Hilbert space. Let $A$ be a matrix with entries $a_{ij}=f(b_i, b_j)$ with $$a_{ii}=f(b_i, b_i) \geq C\lVert b_i\rVert_{H}^2.$$ Suppose $b_i ...
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Fast computation/estimation of the nuclear norm of a matrix

The nuclear norm of a matrix is defined as the sum of its singular values, as given by the Singular Value Decomposition of the matrix itself. It is of central importance in Signal Processing and ...
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Can anyone help me with this algebra problem?

Let $(\lambda_i)_{i = 1}^n$ be a sequence of real numbers. For each $1\le i\le n$, define $u_i$ as $$u_{i}:=1-\omega\cdot(1-\lambda_{i})$$ where $\omega$ is a non zero real number. Show that we can ...
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Two terms that I want to understand: weakest topology and jointly continuous (in the following context).

I was reading an article online, please help me to understand the following lines (in bold letters). - Topological structure: If (V, ‖·‖) is a normed vector space, the norm ‖·‖ induces a metric and ...
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Projection and inner product space

Definition: Let $V$ be vector space, and $U$, $W$ be two subspaces such that $V=U\oplus W$. We know that there exists for each $v \in V$ only one $u \in U$ and only one $w \in W$ such that $v=u+w$. ...
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How to find 3 x 3 matrix inverses

Is there a way of finding the inverse of a $3 \times 3$ matrix without forming an augmented matrix with the identity matrix? Also, is there a quick way of checking that a $3 \times 3$ matrix's ...
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Property of the trace of matrices

Let $A(x,t),B(x,t)$ be matrix-valued functions that are independent of $\xi=x-t$ and satisfy $$A_t-B_x+AB-BA=0$$ where $X_q\equiv \frac{\partial X}{\partial q}$. Why does it then follow that ...
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Proof of eigenvectors of a rotation matrix in complex plane

In Linear algebra, how does one find the eigenvectors of a rotation matrix above the complex vector space. Given the following matrix ...
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How to Find the Center of a Parallelogram

I want to find the center of a parallelogram in order to use it in my java program. I have four coordinates of the parallelogram and I want to find the center coordinate of the parallelogram. It seems ...
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Eigenbasis of a Hilbert space: isomorphism

Let $K$ be a matrix containing the dot product between points in a Hilbert space $\mathcal{H}$ (assume that it is finite-dimensional). Then, we could form a basis using the eigenvectors of a normal ...
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Some remarks on JCF which I want to get verified

Jordan Cannonical Form is applicable for all the linear operators whose characteristic polynomial factors linearly over the base field. Jordan Cannonical Form: Let $T:V_F\to V_F~(\dim ...
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Proof is needed for a lower bound of the maximal eigen-value of a non-negative, irreducible, integer matrix

$A$ is a non-negative, integer, irreducible, $m$ by $m$ matrix. It is well known (Perron-Frobenius) that $A$ has a positive eigen value (denote it by $\lambda$) with a positive eigen vector ($x$). It ...
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How to frame this set of linear equations?

I have the following set of equations, as an example $2x + 1y + 2z = A$ $0x + 2y + 2z = A$ $1x + 2y + 1z = A$ I assume this can be rewritten as a matrix? How can I check if a solution exists such ...
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Finding Constrained Subsets of Parameters in Larger Poorly-Constrained System of Linear Equations

I have a system of linear equations. The system is not well-constrained (I have more parameters than independent equations). What is the easiest way to identify the subset of parameters that are ...
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Change of coordinate system on a sphere

This might take a while to explain, so bear with me: I've got a perfect sphere. I've set up an arbitrary longitude/latitude ("angle") coordinate system on it (imagine an equator around the middle, ...
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does a matrix like this exist?

Question: Does a matrix $A \in M_{3 \times 3}(F)$ exist s.t. $A^4= \begin{bmatrix} 0&0&1\\0&0&0\\0&0&0\end{bmatrix}$ What I thought: I think it doesn't. How do you start a ...
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Special linear transformations

Special linear transformations are matrices with determinant equal to 1. What additional properties do such transformations have compared to "regular" linear transformations?
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If we know the eigenvalues of a matrix $A$, and the minimal polynom $m_t(a)$, how do we find the Jordan form of $A$?

We have just learned the Jordan Form of a matrix, and I have to admit that I did not understand the algorithm. Given $A = \begin{pmatrix} 1 & 1 & 1 & -1 \\ 0 & 2 & 1 & -1 ...
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Find the transform

I have the paper with 3 points on it. I have also a photo of this paper. How can I determine where is the paper on the photo, if I know just the positions of these points? And are 3 points enough? It ...
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Properties of the Cone of Positive Semidefinite Matrices

The set of positive semidefinite symmetric real matrices form a cone. We can define an order over the set of matrices by saying $X\geq Y$ if and only if $X-Y$ is positive semidefinite. I suspect that ...

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