Newbetuts

Which matrices $A\in\text{Mat}_{n\times n}(\mathbb{K})$ are orthogonally diagonalizable over $\mathbb{K}$?

Why a non-diagonalizable matrix can be approximated by an infinite sequence of diagonalizable matrices?

Eigenvalues of outer product matrix of two N-dimensional vectors

What's so useful about diagonalizing a matrix?

Find large power of a non-diagonalisable matrix

Does $A^T A$ have complex eigenvalues?

Proving a diagonal matrix exists for linear operators with complemented invariant subspaces

How to diagonalize $f(x,y,z)=xy+yz+xz$

If $A^2 = I$, then $A$ is diagonalizable, and is $I$ if $1$ is its only eigenvalue

diagonalisability of matrix few properties

Are these square matrices always diagonalisable?

Quick way to check if a matrix is diagonalizable.

Eigenvector and eigenvalue for exponential matrix

diagonalising (I-X(X^TX)^-1X^T where X is rank n-k, a square matrix dimension nxn, into a matrix with n-k 1 along the diagonal, and then zeros.

Prove that Hermitian matrices are diagonalizable

Simultaneous Diagonalization of two bilinear forms

New posts in diagonalization

Which matrices $A\in\text{Mat}_{n\times n}(\mathbb{K})$ are orthogonally diagonalizable over $\mathbb{K}$?

Let $S$ be a diagonalizable matrix and $S+5T=I$. Then prove that $T$ is also diagonalizable.

Rank of square matrix $A$ with $a_{ij}=\lambda_j^{p_i}$, where $p_i$ is an increasing sequence

Diagonalization: Can you spot a trick to avoid tedious computation?

Show that if $A^{n}=I$ then $A$ is diagonalizable.

Why a non-diagonalizable matrix can be approximated by an infinite sequence of diagonalizable matrices?

Eigenvalues of outer product matrix of two N-dimensional vectors

What's so useful about diagonalizing a matrix?

Find large power of a non-diagonalisable matrix

Does $A^T A$ have complex eigenvalues?

Proving a diagonal matrix exists for linear operators with complemented invariant subspaces

How to diagonalize $f(x,y,z)=xy+yz+xz$

If $A^2 = I$, then $A$ is diagonalizable, and is $I$ if $1$ is its only eigenvalue

diagonalisability of matrix few properties

Are these square matrices always diagonalisable?

Quick way to check if a matrix is diagonalizable.

Eigenvector and eigenvalue for exponential matrix

diagonalising (I-X(X^TX)^-1X^T where X is rank n-k, a square matrix dimension nxn, into a matrix with n-k 1 along the diagonal, and then zeros.

Prove that Hermitian matrices are diagonalizable

Simultaneous Diagonalization of two bilinear forms