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🔷12 - Rank and Nullity of a given Matrix (Row Echelon Form)

Rank and Nullity of a given Matrix (Row Echelon Form)

find the rank of a matrix

find the nullity of a matrix

rank of a matrix using row echelon

nullity of a matrix using row echelon

rank is the maximum number of linearly independent vectors

linearly independent rows

linearly independent columns

rank of a square matrix

nullity of a matrix is equal to the number of columns minus the rank

rank of a matrix

solve the rank of a matrix

nullity of a matrix

rank vs nullity

Автор: SkanCity Academy

Загружено: 2022-05-26

Просмотров: 82892

Описание: 🔷12 - Rank and Nullity of a given Matrix (Row Echelon Form)

In todays video we are going to learn how to find the rank and nullity of a matrix.

Rank: the rank of a matrix is the maximum number of linearly independent row or column vectors in a matrix.
Given a matrix, it is advisable to transform the matrix into its row echelon form. In the row echelon form, the maximum number of linearly independent vectors is equal to the number of non-zero rows.

Nullity: of a matrix is equal to the number of columns minus the rank of the matrix

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00:00 - Example 1
07:47 - Example 2
15:08 - Example 3

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🔷12 - Rank and Nullity of a given Matrix (Row Echelon Form)

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