5 0 2 is a row vector. It is also a 1 3 matrix. In the caseof a vector, there is noneedto use double subscripts. Forexample, insteadofwritingA = a 11 a 12 a 13 a 14, wewriteA = a 1 a 2 a 3 a 4. In the special case that m = n = 1, the matrix is a 1 1 matrix and may be written A = a 11 = a = a. In other words, subscripts are not needed. (15 Pts) Show That There Is No 3 X 3 Matrix A With 0 1 1 A-001 0 0 0 And A? 1 0 0 0 0 0 0 (Hint: You Should Focus On The Determinants Of Given Matrices) This question hasn't been answered yet Ask an expert. Show transcribed image text. Previous question Next question.
A Matrix is an array of numbers:
A Matrix
(This one has 2 Rows and 3 Columns)
To multiply a matrix by a single number is easy:
| 2×4=8 | 2×0=0 |
| 2×1=2 | 2×-9=-18 |
We call the number ('2' in this case) a scalar, so this is called 'scalar multiplication'.
But to multiply a matrix by another matrix we need to do the 'dot product' of rows and columns . what does that mean? Let us see with an example:
To work out the answer for the 1st row and 1st column:
The 'Dot Product' is where we multiply matching members, then sum up:
(1, 2, 3) • (7, 9, 11) = 1×7 + 2×9 + 3×11
= 58
We match the 1st members (1 and 7), multiply them, likewise for the 2nd members (2 and 9) and the 3rd members (3 and 11), and finally sum them up.
Want to see another example? Here it is for the 1st row and 2nd column:
(1, 2, 3) • (8, 10, 12) = 1×8 + 2×10 + 3×12
= 64
We can do the same thing for the 2nd row and 1st column: Enolsoft pdf signature 2 2 0 download free.
(4, 5, 6) • (7, 9, 11) = 4×7 + 5×9 + 6×11
= 139
And for the 2nd row and 2nd column:
(4, 5, 6) • (8, 10, 12) = 4×8 + 5×10 + 6×12
= 154
And we get:
DONE!
This may seem an odd and complicated way of multiplying, but it is necessary!
I can give you a real-life example to illustrate why we multiply matrices in this way.
And this is how many they sold in 4 days:
Now think about this . the value of sales for Monday is calculated this way:
So it is, in fact, the 'dot product' of prices and how many were sold:
($3, $4, $2) • (13, 8, 6) = $3×13 + $4×8 + $2×6
= $83
We match the price to how many sold, multiply each, then sum the result.
In other words:
So it is important to match each price to each quantity.
Now you know why we use the 'dot product'.
And here is the full result in Matrix form:
They sold $83 worth of pies on Monday, $63 on Tuesday, etc.
(You can put those values into the Matrix Calculator to see if they work.)
Power spins casino. To show how many rows and columns a matrix has we often write rows×columns.
Example: This matrix is 2×3 (2 rows by 3 columns):
When we do multiplication:
In that example we multiplied a 1×3 matrix by a 3×4 matrix (note the 3s are the same), and the result was a 1×4 matrix.
In General:
To multiply an m×n matrix by an n×p matrix, the ns must be the same,
and the result is an m×p matrix.
So . multiplying a 1×3 by a 3×1 gets a 1×1 result:
But multiplying a 3×1 by a 1×3 gets a 3×3 result:
The 'Identity Matrix' is the matrix equivalent of the number '1':
A 3×3 Identity Matrix
It is a special matrix, because when we multiply by it, the original is unchanged:
A × I = A
I × A = A
In arithmetic we are used to:
3 × 5 = 5 × 3
(The Commutative Law of Multiplication)
But this is not generally true for matrices (matrix multiplication is not commutative):
AB ≠ BA
When we change the order of multiplication, the answer is (usually) different.
See how changing the order affects this multiplication:
The answers are different! Periscope pro 2 2 – powerful suite of surveillance apps.
It can have the same result (such as when one matrix is the Identity Matrix) but not usually.
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