It seems that your image shows a matrix and steps involved in reducing it through row operations to find its rank.

Let's summarize the process of finding the rank of a matrix:

1. Forming the matrix: The rank of a matrix is the number of linearly independent rows or columns in it.
2. Row-reducing the matrix: Using elementary row operations (swapping rows, multiplying rows by a non-zero scalar, and adding multiples of one row to another), you reduce the matrix to its row echelon form or reduced row echelon form.
3. Count the non-zero rows: The rank of the matrix is the number of non-zero rows after it has been reduced.

Looking at the steps outlined in your image:

• The matrix has been row-reduced through some elementary row operations.
• Based on the final matrix in the image, the non-zero rows appear to be clearly marked.

I'll interpret and solve this further for rank computation:

1. Original matrix: 1 & 3 & -1 & 3 \\ 2 & 4 & 3 & -2 \\ 3 & 6 & 0 & 1 \end{pmatrix}$$
2. Elementary row operations: It seems that rows are being manipulated, as indicated in the notations $R_3 - R_1$, etc.

Once the matrix is row-reduced, count the number of non-zero rows. Based on the reduced matrix: