The Multistate Anti-Terrorism Information Exchange Program, also known by the acronym MATRIX, was a U.S. federally funded data mining system originally developed for the Florida Department of Law Enforcement described as a tool to identify terrorist subjects.
The system was reported to analyze government and commercial databases to find associations between suspects or to discover locations of or completely new "suspects". The database and technologies used in the system were housed by Seisint, a Florida-based company since acquired by Lexis Nexis.
The Matrix program was shut down in June 2005 after federal funding was cut in the wake of public concerns over privacy and state surveillance.
I need to find the values of ##\Omega## where ##(-\Omega^2 + i\gamma\Omega + \frac{2k}{3m})(-\Omega^2 + i\gamma\Omega + \frac{2k}{3m}) - (-i\gamma\Omega)(-i\gamma\Omega) = 0##
I get ##\Omega^4 -2i\gamma \Omega^3 - \frac{4k}{3m}\Omega^2 + i\frac{4k}{3m}\gamma\Omega + \frac{4k^2}{9m^2} = 0##
I...
for problem (a), all real numbers of value r will make the system linearly independent, as the system contains more vectors than entry simply by insepection.
As for problem (b), no value of r can make the system linearly dependent by insepection. I tried reducing the matrix into reduced echelon...
My guess is that since there are no rows in a form of [0000b], the system is consistent (the system has a solution).
As the first column is all 0s, x1 would be a free variable.
Because the system with free variable have infinite solution, the solution is not unique.
In this way, the matrix is...
In a certain anisotropic conductive material, the relationship between the current density ##\vec j## and
the electric field ##\vec E## is given by: ##\vec j = \sigma_0\vec E + \sigma_1\vec n(\vec n\cdot\vec E)## where ##\vec n## is a constant unit vector.
i) Calculate the angle between the...
upon finding the eigenvalues and setting up the equations for eigenvectors, I set up the following equations.
So I took b as a free variable to solve the equation int he following way.
But I also realized that it would be possible to take a as a free variable, so I tried taking a as a free...
I have a trouble showing proofs for matrix problems. I would like to know how
A is invertible -> det(A) not 0 -> A is linearly independent -> Column of A spans the matrix
holds for square matrix A. It would be great if you can show how one leads to another with examples! :)
Thanks for helping...
This is the question. The following is the solutions I found:
I understand that the first line was derived by setting one vertex on origin and taking the transpose of the matrix. However, I cannot understand where the extra row and column came from in the second line. Can anyone explain how...
question:
My first attempt:
my second attempt:
So I am getting 0 (the right answer) for the first method and 40 for the second method. According to the theorem, shouldn't the determinant of the matrix remain the same when the multiple of one row is added to another row? Can anyone explain...
I was solving a problem for my quantum mechanics homework, and was therefore browsing in the internet for further information. Then I stumbled upon this here:
R is the rotation operator, δφ an infinitesimal angle and Ψ is the wave function.
I know that it is able to rotate a curve, vector...
Below is the attempted solution of a tutor. However, I do question his solution method. Therefore, I would sincerely appreciate it if anyone could tell me what is going on with the below solution.
First off, the rotation of the matrix could be expressed as below:
$$G = \begin{pmatrix} AB & -||A...
I have tried to do this using arrays and do loops:
program matrixmul
implicit none
real A(2, 2), B (2, 2), C (2, 2)
integer i, j, k
write (*, *) 'Input: First matrix'
do i = 1, 2
do j = 1, 2
read (*, *) A (i, j)
enddo
enddo
write (*, *) 'Input: Second...
Let a 3 × 3 matrix A be such that for any vector of a column v ∈ R3 the vectors Av and v are orthogonal. Prove that At + A = 0, where At is the transposed matrix.
Homework Statement
If I have an affine camera with a projection relationship governed by:
\begin{equation}
\begin{bmatrix}
x & y
\end{bmatrix}^T = A
\begin{bmatrix}
X & Y & Z
\end{bmatrix}^T + b
\end{equation}
where A is a 2x3 matrix and b is a 2x1 vector. How can I form a matrix...
I'm reading about the LU decomposition on this page and cannot understand one of the final steps in the proof to the following:
----------------
Let ##A## be a ##K\times K## matrix. Then, there exists a permutation matrix ##P## such that ##PA## has an LU decomposition: $$PA=LU$$ where ##L## is a...
Hello! Below is the code for the following task:
matrix "Q" with a dimension of 3*2 was obtained using a matrix of cells "A";
then the matrix "Q" is exported to Microsoft Access with the same dimension (3 rows, 2 columns).
(!) The difficulty is that only the first row of the matrix is written...
What competency matrix are suggested for power consultant engineers?
My work organization has a competency matrix of different skills. The skills included different software packages and engineering practices for low/medium/high voltage power design and instrument and controls. Some of the...
Hello everyone,
I actually had a problem with understanding the part where they have defined L'AL = Λ. There, they have taken
γΛγ1 = Σy2λ = 1. Why have they taken that? Is it arbitary or does it come as a result of a derivation?
Thank you
I would like to ask about unitary transformation.
UA(IV)
UB*UA(IV)
UAT(UB*UA(IV))=UB(IV)
UB(IV)*(X)
IVT(UB(IV)*(X))=UB(X)
UBT*UB(X)=X
From the information above, UAT,IVT and UBT are the transpose of the complex conjugate. The aim of this code is to get the value of X in the step 4. This is...
Mentor note: Member warned that an attempt must be shown.
1. Homework Statement
This question is from book Afken Weber, Mathematics for Physicist.
An operator ##T(t + ε,t)## describes the change in the wave function from t to t + ##\epsilon## . For ##\epsilon## real and small enough so that...
Homework Statement
I need some help with a question on my assignment. It asks to set up a matrix from the linear equations, y=25x+70 and y=35x+40.
Homework Equations
How do I set this matrix up?
The Attempt at a Solution
I think that I have to rewrite it as 25x-y=-70 and 35x-y=-40. But then...
Hi,
I am trying to find the eigenvectors for the following 3x3 matrix and are having trouble with it. The matrix is
(I have a ; since I can't have a space between each column. Sorry):
[20 ; -10 ; 0]
[-10 ; 30 ; 0]
[0 ; 0 ; 40]
I’ve already...
Hi all
I am trying to reproduce some results from a paper, but I'm not sure how to proceed. I have the following: ##\phi## is a complex matrix and can be decomposed into real and imaginary parts:
$$\phi=\frac{\phi_R +i\phi_I}{\sqrt{2}}$$
so that
$$\phi^\dagger\phi=\frac{\phi_R^2 +\phi_I^2}{2}$$...
Homework Statement
Homework Equations
The Attempt at a Solution
[/B]
Det( ## e^A ## ) = ## e^{(trace A)} ##
## trace(A) = trace( SAS^{-1}) = 0 ## as trace is similiarity invariant.
Det( ## e^A ## ) = 1
The answer is option (a).
Is this correct?
But in the question, it is...
Hi, I am trying to prove that the eigevalues, elements, eigenfunctions or/and eigenvectors of a matrix A form a Hilbert space. Can one apply the inner product formula :
\begin{equation}
\int x(t)\overline y(t) dt
\end{equation}
on the x and y coordinates of the eigenvectors [x_1,y_1] and...
Homework Statement
I have attached the question. Translated: Suppose T: R^4 -> R^4 is the image so that: ......
Homework Equations
So I did this question and my final answers were correct: 1. not surjective 2. not injective. My method of solving this question is completely different than the...
Homework Statement
Homework Equations
The Attempt at a Solution
I solved it by calculating the eigen values by ##| A- \lambda |= 0 ##.
This gave me ## \lambda _1 = 6.42, \lambda _2 = 0.387, \lambda_3 = -0.806##.
So, the required answer is 42.02 , option (b).
Is this correct?
The matrix...
Hi, I have derived a matrix from a system of ODE, and the matrix looked pretty bad at first. Then recently, I tried the Gauss elimination, followed by the exponential application on the matrix (e^[A]) and after another Gauss elimination, it turned "down" to the Identity matrix. This is awfully...