Matrix addition and subtraction are element-wise operations; scalar multiplication scales every entry; matrix multiplication follows the row‑by‑column rule. For the given matrices, A+B=[3177], A−B=[151−3], 3A−C=[8672], AB=[−6−12619], BA=[1111102].
Why these operations work the way they do
Matrix addition and subtraction are the simplest: you just combine corresponding entries. Think of two matrices as two tables of numbers sitting side by side — adding them means adding the number in the top‑left of the first to the top‑left of the second, and so on. This only makes sense when both matrices have the same shape (same number of rows and columns). Here A, B, and C are all 2×2, so addition and subtraction are straightforward.
Scalar multiplication (like 3A) means multiplying every entry of A by 3. Then you subtract C entry‑wise.
Matrix multiplication is different. When you multiply AB, you take each row of A and “dot” it with each column of B. The entry in row i, column j of AB is the sum of products: (row i of A)⋅(column j of B). This is not commutative — AB and BA usually give different results, as you’ll see.
Step‑by‑step
1. A+B
Add corresponding entries:
A+B=[2+13+(−2)4+32+5]=[3177]
Always check that the matrices have the same dimensions before adding. Here both are 2×2, so it’s valid.
2. A−B
Subtract entry‑wise:
A−B=[2−13−(−2)4−32−5]=[151−3]
Notice that 3−(−2)=3+2=5. A common slip is forgetting to change the sign when subtracting a negative number.
A−B is not the same as B−A. Subtraction is not commutative. If you swapped, you’d get [−1−5−13].
3. 3A−C
First multiply every entry of A by 3:
3A=[3⋅23⋅33⋅43⋅2]=[69126]
Now subtract C entry‑wise:
3A−C=[6−(−2)9−312−56−4]=[8672]
Again, watch the double negative: 6−(−2)=8.
4. AB
Multiply A (first matrix) by B (second matrix). A has rows, B has columns.
-
Entry (1,1): row 1 of A [24] dot column 1 of B [1−2]
=2⋅1+4⋅(−2)=2−8=−6
-
Entry (1,2): row 1 of A dot column 2 of B [35]
=2⋅3+4⋅5=6+20=26
-
Entry (2,1): row 2 of A [32] dot column 1 of B
=3⋅1+2⋅(−2)=3−4=−1
-
Entry (2,2): row 2 of A dot column 2 of B
=3⋅3+2⋅5=9+10=19
So
AB=[−6−12619]
For 2×2 matrices,
[acbd][egfh]=[ae+bgce+dgaf+bhcf+dh].
5. BA
Now multiply B by A. The order is reversed, so the result will likely be different.
-
Entry (1,1): row 1 of B [13] dot column 1 of A [23]
=1⋅2+3⋅3=2+9=11
-
Entry (1,2): row 1 of B dot column 2 of A [42]
=1⋅4+3⋅2=4+6=10
-
Entry (2,1): row 2 of B [−25] dot column 1 of A
=(−2)⋅2+5⋅3=−4+15=11
-
Entry (2,2): row 2 of B dot column 2 of A
=(−2)⋅4+5⋅2=−8+10=2
Thus
BA=[1111102]
Compare with AB — they are clearly not the same. This is a key property: matrix multiplication is not commutative.
AB=BA in general. Always pay attention to the order when multiplying matrices.
✓Final answer
The results are A+B=[3177], A−B=[151−3], 3A−C=[8672], AB=[−6−12619], and BA=[1111102].