
Properties of multiplication (article) | Khan Academy
The commutative property of multiplication tells us that it doesn't matter if the 1 comes before or after the number. Here's an example of the identity property of multiplication with the 1 before the number:
Properties of addition (article) | Khan Academy
The distributive property is a combination of multiplication AND addition, though! It's how multiplying after adding the 2 numbers is the same as multiplying them separately before adding.
Commutative property of multiplication - Khan Academy
Practice changing the order of factors in a multiplication problem and see how it affects the product.
Distributive property review (article) | Khan Academy
What is the distributive property? The distributive property says that in a multiplication problem, when one factor is rewritten as the sum of two numbers, the product doesn't change.
Inverse property of multiplication (video) | Khan Academy
There are inverse and identity properties for multiplication and addition, but there aren't any for subtraction, and division as well. I hope that sufficiently answers your question :)
Commutative property of multiplication review - Khan Academy
Review the basics of the commutative property of multiplication, and try some practice problems.
Identity property of 1 (video) | Khan Academy
The identity property of 1 says that any number multiplied by 1 keeps its identity. In other words, any number multiplied by 1 stays the same. The reason the number stays the same is because …
Properties of matrix multiplication (article) | Khan Academy
The multiplicative identity property states that the product of any n × n matrix A and I n is always A , regardless of the order in which the multiplication was performed.
Identity property of 0 (video) - Khan Academy
My question stems from the issue of simplifying and resolving complex algebraic equations where an intermediate step may result in dividing by 0 but that portion cancels.
Associative property of matrix multiplication - Khan Academy
The associative property of matrices applies regardless of the dimensions of the matrix. In the case A·(B·C), first you multiply B·C, and end up with a 2⨉1 matrix, and then you multiply A by this matrix.