0
To prove that the variance-covariance matrix ( \Sigma ) is nonnegative definite, we can show that for any vector ( x ), the quadratic form ( x^T \Sigma x \geq 0 ). The variance-covariance matrix is defined as ( \Sigma = E[(X - E[X])(X - E[X])^T] ), where ( X ) is a random vector. By substituting ( x^T \Sigma x ) and using the properties of expected values and the definition of variance, we find that the expression equals the variance of the linear combination of the components of ( X ), which is always nonnegative. Thus, ( \Sigma ) is nonnegative definite.
What else can I help you with?
Prove that a matrix which is both symmetric as well as skew symmetric is a null matrix?
Let A be a matrix which is both symmetric and skew symmetric. so AT=A and AT= -A so A =- A that implies 2A =zero matrix that implies A is a zero matrix
How to prove that the spectral radius of a symmetric square matrix on real numbers is not larger than the 1-norm of the matrix?
Let's prove that rho(A)=2-norm(A) for A symmetrical and then prove the relation between 1-norm and 2-norm. Both are easy.
How do you prove if the determinant of A is not equal to zero then the matrix A is invertible?
To prove that a matrix ( A ) is invertible if its determinant ( \det(A) \neq 0 ), we can use the property of determinants related to linear transformations. If ( \det(A) \neq 0 ), it implies that the linear transformation represented by ( A ) is bijective, meaning it maps ( \mathbb{R}^n ) onto itself without collapsing any dimensions. Consequently, there exists a matrix ( B ) such that ( AB = I ) (the identity matrix), confirming that ( A ) is invertible. Thus, the non-zero determinant serves as a necessary and sufficient condition for the invertibility of the matrix ( A ).
Matrix prove if Ax equals Bx then A equals B?
If x is a null matrix then Ax = Bx for any matrices A and B including when A not equal to B. So the proposition in the question is false and therefore cannot be proven.
Why was boys made?
There is no definite way to prove how boys (or more specifically, mankind) were made, and I doubt that there was a reason why men were made too.
How can you write a program which proves that a multiple of a matrix and its determinant is an identity matrix?
Automated proofs are a complicated subject. If you are not an expert on the subject, all you can hope for is to write a program where you can input a sample matrix (or that randomly generates one), and verifies the proposition for this particular case. If the proposition is confirmed in several cases, this makes the proposition plausible, but is by no means a formal proof.Better try to prove it without writing any program.Note: it is not even true; it is the inverse of the matrix which gives identity when is multiplied with the original matrix.
If matrix a is invertible and a b is invertible and a 2b a 3b and a 4b are all invertible how can you prove that a 5b is also invertible?
What is "a 3b"? Is it a3b? or a+3b? 3ab? I think "a3b" is the following: A is an invertible matrix as is B, we also have that the matrices AB, A2B, A3B and A4B are all invertible, prove A5B is invertible. The problem is the sum of invertible matrices may not be invertible. Consider using the characteristic poly?
How do you prove ab equals ba?
A - B = B - AThis statement is very difficult to prove.Mainly because it's not true . . . unless 'A' happens to equal 'B'.
Prove that trace of the matrix is invariant under similarity transformation?
The trace of an nxn matrix is usually thought of as the sum of the diagonal entries in the matrix. However, it is also the sum of the eigenvalues. This may help to understand why the proof works. So to answer your question, let's say A and B are matrices and A is similar to B. You want to prove that Trace A=Trace B If A is similar to B, there exists an invertible matrix P such that A=(P^-1 B P) Now we use the fact that Trace (AB)= Trace(BA) for any nxn matrices A and B.This is easy to prove directly from the definition of trace. (ask me if you need to know) So using this we have the following: Trace(A)=Trace(P^-1 B P)=Trace (BPP^-1)=Trace(B) and we are done! Dr. Chuck
Does maximizing the scalar multiplication in matrix chain multiplication exhibit optimal substructure?
I think so. Copy and paste method could be used to prove this. But this is only my opinion.
What are the DMV requirements for submitting a bill of sale?
I am finding it difficult to find a definite answer for you. From the information that I did find it seems that it is the purchaser that will bring the bill of sale to the DMV to prove the purchase and new ownership of the said vehicle.
Which 2 planets do not havenatural satellite?
Nobody can make that kind of definite statement. All we can say is that none have yet been observed in orbit around Mercury or Venus. It's very difficult to prove a negative.
