Skip to main content
c changed to b^T.
Source Link

Let $A, A^{-1} \in \mathbb{R}^{n \times n}$ be known matrices. Suppose we have an invertible matrix $B \in \mathbb{R}^{(n+1) \times (n+1)}$ of the following form:

$$B = \begin{bmatrix} A & b\\ c & 1 \end{bmatrix}$$$$B = \begin{bmatrix} A & b\\ b^T & 1 \end{bmatrix}$$

where $b$ is a column vector and $c$ is a row vector. How can I calculate matrix $B^{-1}$ from known matrices $A$ and $A^{-1}$? Can the Sherman–Morrison formula be applied here? If so, how?


As far as I understand, it can be applied if some perturbation is made to $A$. However, the problem here is that $B$ has a different shape than $A$. Appending $A$ with zero entries in the beginning will not work either because the same matrix with zeros added in the bottom row and the right column is not necessarily nonsingular.

Let $A, A^{-1} \in \mathbb{R}^{n \times n}$ be known matrices. Suppose we have an invertible matrix $B \in \mathbb{R}^{(n+1) \times (n+1)}$ of the following form:

$$B = \begin{bmatrix} A & b\\ c & 1 \end{bmatrix}$$

where $b$ is a column vector and $c$ is a row vector. How can I calculate matrix $B^{-1}$ from known matrices $A$ and $A^{-1}$? Can the Sherman–Morrison formula be applied here? If so, how?


As far as I understand, it can be applied if some perturbation is made to $A$. However, the problem here is that $B$ has a different shape than $A$. Appending $A$ with zero entries in the beginning will not work either because the same matrix with zeros added in the bottom row and the right column is not necessarily nonsingular.

Let $A, A^{-1} \in \mathbb{R}^{n \times n}$ be known matrices. Suppose we have an invertible matrix $B \in \mathbb{R}^{(n+1) \times (n+1)}$ of the following form:

$$B = \begin{bmatrix} A & b\\ b^T & 1 \end{bmatrix}$$

where $b$ is a column vector and $c$ is a row vector. How can I calculate matrix $B^{-1}$ from known matrices $A$ and $A^{-1}$? Can the Sherman–Morrison formula be applied here? If so, how?


As far as I understand, it can be applied if some perturbation is made to $A$. However, the problem here is that $B$ has a different shape than $A$. Appending $A$ with zero entries in the beginning will not work either because the same matrix with zeros added in the bottom row and the right column is not necessarily nonsingular.

Let $A, A^{-1} \in \mathbb{R}^{n \times n}$ be matrices. Both $A$ and $A^{-1}$ are known matrices. Suppose we have a Matrixan invertible matrix $B \in \mathbb{R}^{n+1 \times n+1}$$B \in \mathbb{R}^{(n+1) \times (n+1)}$ of the following form:

\begin{bmatrix} A& b\\ c& 1 \end{bmatrix}$$B = \begin{bmatrix} A & b\\ c & 1 \end{bmatrix}$$

where $b$ is a column vector, and $c$ is a row vector and $B$ is invertible. How can I calculate matrix $B^{-1}$ withfrom known matrices $A, A^{-1}$$A$ and $A^{-1}$? Can the formula of Sherman–Morrison formula be applied here? If yesso, how?


As far as I understand, it can be applied if some perturbation is made to $A$. ButHowever, the problem here is that $B$ has a different shape than $A$. Appending $A$ with zero entries in the beginning will not work either because the same matrix with zeros added in the bottom row and the right column is not necessarily nonsingular.

Let $A, A^{-1} \in \mathbb{R}^{n \times n}$ be matrices. Both $A$ and $A^{-1}$ are known. Suppose we have a Matrix $B \in \mathbb{R}^{n+1 \times n+1}$ of following form:

\begin{bmatrix} A& b\\ c& 1 \end{bmatrix}

where $b$ is a column vector, $c$ is a row vector and $B$ is invertible. How can I calculate $B^{-1}$ with known $A, A^{-1}$? Can the formula of Sherman–Morrison be applied here? If yes, how?


As far as I understand, it can be applied if some perturbation is made to $A$. But the problem here is that $B$ has a different shape than $A$. Appending $A$ with zero entries in the beginning will not work either because the same matrix with zeros added in the bottom row and the right column is not necessarily nonsingular.

Let $A, A^{-1} \in \mathbb{R}^{n \times n}$ be known matrices. Suppose we have an invertible matrix $B \in \mathbb{R}^{(n+1) \times (n+1)}$ of the following form:

$$B = \begin{bmatrix} A & b\\ c & 1 \end{bmatrix}$$

where $b$ is a column vector and $c$ is a row vector. How can I calculate matrix $B^{-1}$ from known matrices $A$ and $A^{-1}$? Can the Sherman–Morrison formula be applied here? If so, how?


As far as I understand, it can be applied if some perturbation is made to $A$. However, the problem here is that $B$ has a different shape than $A$. Appending $A$ with zero entries in the beginning will not work either because the same matrix with zeros added in the bottom row and the right column is not necessarily nonsingular.

fixed typos
Source Link
YCor
  • 63.9k
  • 5
  • 187
  • 286

Inverse of a larger Matrixmatrix where the inverse of the Submatrixsubmatrix is known

Let $A, A^{-1} \in \mathbb{R}^{n \times n}$ be matrices. Both $A$ and $A^{-1}$ are known. Suppose we have a Matrix $B \in \mathbb{R}^{n+1 \times n+1}$ of following form:

\begin{bmatrix} A& b\\ c& 1 \end{bmatrix}

where $b$ is a column vector, $c$ is a row vector and $B$ is invertible. How can I calculate $B^{-1}$ with known $A, A^{-1}$? Can the formula of Sherman–Morrison be applied here? If yes, how?


As far as I understand, it can be applied if some pertubationperturbation is made to $A$. But the problem here is that $B$ has a different shape than $A$. Appending $A$ with zero entries in the beginning will not work either because the same matrix with zeros added in the bottom row and the right column is not necessarily nonsingular.

Inverse of a larger Matrix where the inverse of the Submatrix is known

Let $A, A^{-1} \in \mathbb{R}^{n \times n}$ be matrices. Both $A$ and $A^{-1}$ are known. Suppose we have a Matrix $B \in \mathbb{R}^{n+1 \times n+1}$ of following form:

\begin{bmatrix} A& b\\ c& 1 \end{bmatrix}

where $b$ is a column vector, $c$ is a row vector and $B$ is invertible. How can I calculate $B^{-1}$ with known $A, A^{-1}$? Can the formula of Sherman–Morrison be applied here? If yes, how?


As far as I understand, it can be applied if some pertubation is made to $A$. But the problem here is that $B$ has a different shape than $A$. Appending $A$ with zero entries in the beginning will not work either because the same matrix with zeros added in the bottom row and the right column is not necessarily nonsingular.

Inverse of a larger matrix where the inverse of the submatrix is known

Let $A, A^{-1} \in \mathbb{R}^{n \times n}$ be matrices. Both $A$ and $A^{-1}$ are known. Suppose we have a Matrix $B \in \mathbb{R}^{n+1 \times n+1}$ of following form:

\begin{bmatrix} A& b\\ c& 1 \end{bmatrix}

where $b$ is a column vector, $c$ is a row vector and $B$ is invertible. How can I calculate $B^{-1}$ with known $A, A^{-1}$? Can the formula of Sherman–Morrison be applied here? If yes, how?


As far as I understand, it can be applied if some perturbation is made to $A$. But the problem here is that $B$ has a different shape than $A$. Appending $A$ with zero entries in the beginning will not work either because the same matrix with zeros added in the bottom row and the right column is not necessarily nonsingular.

Source Link
Loading