Assume two matrices are to be multiplied (the generalization to any number is discussed below). Arithmetic process of multiplying numbers (solid lines) in row i in matrix A and column j in matrix B, then adding the terms (dashed lines) to obtain entry ij in the final matrix.
If A is an n × m matrix and B is an m × p matrix, the matrix product AB
where each i, j entry is given by multiplying the entries Aik (across row i of A) by the entries Bkj (down column j of B), for k = 1, 2, ..., m, and summing the results over k:
Thus the product AB is defined only if the number of columns in A is equal to the number of rows in B, in this case m. Each entry may be computed one at a time.
Refer to link below for more details.
7x9
3 times 9 and 7 times 9.
9+9 and 9+9+9+9+9
Using multiplication 40 times 45 = 1800
They both cannot be
7x9 is the multiplication fact that can be found using the arrays 2x9 and 5x9.
7x9
3 times 9 and 7 times 9.
You can see that multiplication works both ways: 2x9=18 9x2=18 5x9=45 9x5=45 Arrays are also helpful in seeing the inverse relationship between multiplication and division.
The multiplication fact (singular, not plural 'facts') that can be found is 7x9 = 63. Using the arrays, a 2x9 array (2 rows of 9 items) and 5x9 array (5 rows of 9 items) is 63: 2x9 = 18 5x9 = 45 18 + 45 = 63
9+9 and 9+9+9+9+9
Some common multiplication strategies include the Latis Strategy, The Algebra Strategy, and the Stacking Strategy.
10 x 5?
9
Using multiplication 40 times 45 = 1800
They both cannot be
3 times 35 equals 105