Is diagonal matrix positive definite?

(c) A diagonal matrix with positive diagonal entries is positive definite. (d) A symmetric matrix with a positive determinant might not be positive definite! Solution. (a) The determinant is positive as all eigenvalues are positive.
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Are diagonal elements of positive definite matrix positive?

If A is a symmetric positive definite matrix then each entry aii>0, ie all the elements of the diagonal of the matrix are positive.
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Is a diagonal matrix positive semidefinite?

Since a block diagonal matrix is positive (semi)definite if and only if its diagonal blocks are positive (semi)definite, the proof is complete.
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Can a positive definite matrix have zeros on diagonal?

If a real or complex matrix is positive definite, then all of its principal minors are positive. Since the diagonal entries are the also the one-by-one principal minors of a matrix, any matrix with a diagonal entry equal to zero cannot be positive definite. (And it cannot be negative definite, either.)
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How do you know if a matrix is positive definite?

A matrix is positive definite if it's symmetric and all its pivots are positive. where Ak is the upper left k x k submatrix. All the pivots will be pos itive if and only if det(Ak) > 0 for all 1 k n. So, if all upper left k x k determinants of a symmetric matrix are positive, the matrix is positive definite.
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How to Prove that a Matrix is Positive Definite



What do you mean by diagonal matrix?

A square matrix in which every element except the principal diagonal elements is zero is called a Diagonal Matrix. A square matrix D = [dij]n x n will be called a diagonal matrix if dij = 0, whenever i is not equal to j. There are many types of matrices like the Identity matrix.
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Are all symmetric matrices positive definite?

Definition: The symmetric matrix A is said positive definite (A > 0) if all its eigenvalues are positive. Definition: The symmetric matrix A is said positive semidefinite (A ≥ 0) if all its eigenvalues are non negative.
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Can diagonal matrix be negative?

The answer is simply: No. And proof is via contradiction. If A was positive definite and had the first diagonal element say, a_11 negative, then, x'Ax is negative for x = (1, 0 , 0…,0)', which is a contradiction.
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Can a non symmetric matrix be positive definite?

Therefore we can characterize (possibly nonsymmetric) positive definite ma- trices as matrices where the symmetric part has positive eigenvalues. By Theorem 1.1 weakly positive definite matrices are also characterized by their eigenvalues.
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Can positive definite matrices have negative diagonal entries?

Yes, as trace = sum of diagonal elements.
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Is a diagonal matrix semidefinite?

Let A be a symmetric diagonal matrix in which (A)ii≥0. Should one conclude that this matrix is positive semidefinite? Yes, because the determinants are ≥0 (Hurwitz criterion). By the way, symmetric information is not required because every diagonal matrix is symmetric.
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Is a covariance matrix positive definite?

The covariance matrix is always both symmetric and positive semi- definite.
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Are all invertible matrices positive definite?

A inverse matrix B−1 is it automatically positive definite? Invertible matrices have full rank, and so, nonzero eigenvalues, which in turn implies nonzero determinant (as the product of eigenvalues). *Considering the comments below, the answer is no.
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What is positive diagonal?

If a matrix is strictly diagonally dominant and all its diagonal elements are positive, then the real parts of its eigenvalues are positive; if all its diagonal elements are negative, then the real parts of its eigenvalues are negative. These results follow from the Gershgorin circle theorem.
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Which of the following matrix is positive semi definite?

A positive semidefinite matrix is a Hermitian matrix all of whose eigenvalues are nonnegative. Here eigenvalues are positive hence C option is positive semi definite. A and B option gives negative eigen values and D is zero.
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How do you check if a matrix is negative definite?

A matrix is negative definite if it's symmetric and all its pivots are negative. Test method 1: Existence of all negative Pivots. Pivots are the first non-zero element in each row of this eliminated matrix. Here all pivots are negative, so matrix is negative definite.
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Is the identity matrix positive semidefinite?

matrix V as the identity matrix of order M. be a real M x N matrix. Then, the N x N matrix PTVP is real symmetric and positive semidefinite. with 6 = Pa, is larger than or equal to zero since V is positive semidefinite.
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Is Hessian matrix always symmetric?

No, it is not true. You need that ∂2f∂xi∂xj=∂2f∂xj∂xi in order for the hessian to be symmetric. This is in general only true, if the second partial derivatives are continuous.
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Why is covariance matrix positive semidefinite?

which must always be nonnegative, since it is the variance of a real-valued random variable, so a covariance matrix is always a positive-semidefinite matrix.
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Are all diagonal matrices orthogonal?

Every diagonal matrix is orthogonal.
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Are all diagonal matrices invertible?

Although, all non-diagonal elements of the matrix D are zero which implies it is a diagonal matrix. Therefore, matrix D is a diagonal matrix but it is not invertible as all main diagonal are not non-zero. Answer: Inverse of diagonal matrix D does not exist.
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When Hessian matrix is positive definite?

If the Hessian at a given point has all positive eigenvalues, it is said to be a positive-definite matrix. This is the multivariable equivalent of “concave up”. If all of the eigenvalues are negative, it is said to be a negative-definite matrix.
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Is every positive semi definite matrix symmetric?

No, they don't, but symmetric positive definite matrices have very nice properties, so that's why they appear often. An example of a non-symmetric positive definite matrix is M=(2022). which is strictly greater than 0 whenever the vector is non-zero.
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Does invertible mean positive definite?

Theorem 1. If A is positive definite then A is invertible and A-1 is positive definite. Proof. If A is positive definite then v/Av > 0 for all v = 0, hence Av = 0 for all v = 0, hence A has full rank, hence A is invertible.
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Is non positive definite matrix invertible?

If your question is a mathematical question (and not a computing one), then yes a non positive semidefinite matrix can be invertible. For example, if a n×n real matrix has n eigenvalues and none of which is zero, then this matrix is invertible.
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