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๐‘‡โ„Ž๐‘’ย ๐‘Ÿ๐‘Ž๐‘›๐‘˜ย ๐‘œ๐‘“ย ๐‘Žย ๐‘š๐‘Ž๐‘ก๐‘Ÿ๐‘–๐‘ฅย ๐ดย ๐‘–๐‘ ย ๐‘กโ„Ž๐‘’

Question

๐‘‡โ„Ž๐‘’ย ๐‘Ÿ๐‘Ž๐‘›๐‘˜ย ๐‘œ๐‘“ย ๐‘Žย ๐‘š๐‘Ž๐‘ก๐‘Ÿ๐‘–๐‘ฅย ๐ดย ๐‘–๐‘ ย ๐‘กโ„Ž๐‘’

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Solution

The rank of a matrix A is the maximum number of linearly independent rows or columns in the matrix. It is a measure of the "dimension" of the matrix. Here are the steps to find the rank of a matrix:

  1. Write down the matrix A.
  2. Perform elementary row operations (swapping rows, multiplying a row by a scalar, adding or subtracting one row from another) to bring the matrix to its row echelon form or reduced row echelon form. This form of the matrix has a clear "staircase" pattern, with each row having more leading zeros than the previous one.
  3. Count the number of non-zero rows. This number is the rank of the matrix.

Note: The rank of a matrix is also equal to the maximum number of linearly independent columns, so you could alternatively perform elementary column operations and count the number of non-zero columns.

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