Matrices as a normed space #
In this file we provide the following non-instances for norms on matrices:
-
The elementwise norm:
-
The Frobenius norm:
-
The $L^\infty$ operator norm:
These are not declared as instances because there are several natural choices for defining the norm of a matrix.
The elementwise supremum norm #
Seminormed group instance (using sup norm of sup norm) for matrices over a seminormed group. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Note this is safe as an instance as it carries no data.
Normed group instance (using sup norm of sup norm) for matrices over a normed group. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Normed space instance (using sup norm of sup norm) for matrices over a normed space. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
The $L_\infty$ operator norm #
This section defines the matrix norm $|A|_\infty = \operatorname{sup}i (\sum_j |A{ij}|)$.
Note that this is equivalent to the operator norm, considering $A$ as a linear map between two $L^\infty$ spaces.
Seminormed group instance (using sup norm of L1 norm) for matrices over a seminormed group. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Normed group instance (using sup norm of L1 norm) for matrices over a normed ring. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Normed space instance (using sup norm of L1 norm) for matrices over a normed space. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Seminormed non-unital ring instance (using sup norm of L1 norm) for matrices over a semi normed non-unital ring. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
The L₁-L∞
norm preserves one on non-empty matrices. Note this is safe as an instance, as it
carries no data.
Seminormed ring instance (using sup norm of L1 norm) for matrices over a semi normed ring. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Normed non-unital ring instance (using sup norm of L1 norm) for matrices over a normed non-unital ring. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Normed ring instance (using sup norm of L1 norm) for matrices over a normed ring. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Normed algebra instance (using sup norm of L1 norm) for matrices over a normed algebra. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
The Frobenius norm #
This is defined as $|A| = \sqrt{\sum_{i,j} |A_{ij}|^2}$. When the matrix is over the real or complex numbers, this norm is submultiplicative.
Seminormed group instance (using frobenius norm) for matrices over a seminormed group. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Normed group instance (using frobenius norm) for matrices over a normed group. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Normed space instance (using frobenius norm) for matrices over a normed space. Not declared as an instance because there are several natural choices for defining the norm of a matrix.
Instances For
Normed ring instance (using frobenius norm) for matrices over ℝ
or ℂ
. Not
declared as an instance because there are several natural choices for defining the norm of a
matrix.
Instances For
Normed algebra instance (using frobenius norm) for matrices over ℝ
or ℂ
. Not
declared as an instance because there are several natural choices for defining the norm of a
matrix.