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ZK3O402wf1c | For me, this matrix
multiplication |
ZK3O402wf1c | says I take one of that column
and two of that column and add. |
ZK3O402wf1c | So this is the way
I would think of it |
ZK3O402wf1c | is one of the first column
and two of the second column |
ZK3O402wf1c | and let's just see what we get. |
ZK3O402wf1c | So in the first component
I'm getting a two and a ten. |
ZK3O402wf1c | I'm getting a twelve there. |
ZK3O402wf1c | In the second component I'm
getting a one and a six, |
ZK3O402wf1c | I'm getting a seven. |
ZK3O402wf1c | So that matrix times that
vector is twelve seven. |
ZK3O402wf1c | Now, you could do
that another way. |
ZK3O402wf1c | You could do it a row at a time. |
ZK3O402wf1c | And you would get this twelve --
and actually I pretty much did |
ZK3O402wf1c | it here -- |
ZK3O402wf1c | this way. |
ZK3O402wf1c | Two -- I could take that
row times my vector. |
ZK3O402wf1c | This is the idea
of a dot product. |
ZK3O402wf1c | This vector times this vector,
two times one plus five times |
ZK3O402wf1c | two is the twelve. |
ZK3O402wf1c | This vector times this vector --
one times one plus three times |
ZK3O402wf1c | two is the seven. |
ZK3O402wf1c | So I can do it by rows,
and in each row times |
ZK3O402wf1c | my x is what I'll later
call a dot product. |
ZK3O402wf1c | But I also like to
see it by columns. |
ZK3O402wf1c | I see this as a linear
combination of a column. |
ZK3O402wf1c | So here's my point. |
ZK3O402wf1c | A times x is a combination
of the columns of A. |
ZK3O402wf1c | That's how I hope you will
think of A times x when we need |
ZK3O402wf1c | it. |
ZK3O402wf1c | Right now we've got
-- with small ones, |
ZK3O402wf1c | we can always do it in
different ways, but later, |
ZK3O402wf1c | think of it that way. |
ZK3O402wf1c | Okay. |
ZK3O402wf1c | So that's the picture
for a two by two system. |
ZK3O402wf1c | And if the right-hand side B
happened to be twelve seven, |
ZK3O402wf1c | then of course the correct
solution would be one two. |
ZK3O402wf1c | Okay. |
ZK3O402wf1c | So let me come back next
time to a systematic way, |
ZK3O402wf1c | using elimination,
to find the solution, |
ZK3O402wf1c | if there is one, to a
system of any size and |
PxCxlsl_YwY | So let's start right away with
stuff that we will need to see |
PxCxlsl_YwY | before we can go on to more
advanced things. |
PxCxlsl_YwY | So, hopefully yesterday in
recitation, you heard a bit |
PxCxlsl_YwY | about vectors.
How many of you actually knew |
PxCxlsl_YwY | about vectors before that?
OK, that's the vast majority. |
PxCxlsl_YwY | If you are not one of those
people, well, |
PxCxlsl_YwY | hopefully you'll learn about
vectors right now. |
PxCxlsl_YwY | I'm sorry that the learning
curve will be a bit steeper for |
PxCxlsl_YwY | the first week.
But hopefully, |
PxCxlsl_YwY | you'll adjust fine.
If you have trouble with |
PxCxlsl_YwY | vectors, do go to your
recitation instructor's office |
PxCxlsl_YwY | hours for extra practice if you
feel the need to. |
PxCxlsl_YwY | You will see it's pretty easy.
So, just to remind you, |
PxCxlsl_YwY | a vector is a quantity that has
both a direction and a magnitude |
PxCxlsl_YwY | of length. |
PxCxlsl_YwY | So -- So, concretely the way
you draw a vector is by some |
PxCxlsl_YwY | arrow, like that,
OK? |
PxCxlsl_YwY | And so, it has a length,
and it's pointing in some |
PxCxlsl_YwY | direction.
And, so, now, |
PxCxlsl_YwY | the way that we compute things
with vectors, |
PxCxlsl_YwY | typically, as we introduce a
coordinate system. |
PxCxlsl_YwY | So, if we are in the plane,
x-y-axis, if we are in space, |
PxCxlsl_YwY | x-y-z axis.
So, usually I will try to draw |
PxCxlsl_YwY | my x-y-z axis consistently to
look like this. |
PxCxlsl_YwY | And then, I can represent my
vector in terms of its |
PxCxlsl_YwY | components along the coordinate
axis. |
PxCxlsl_YwY | So, that means when I have this
row, I can ask, |
PxCxlsl_YwY | how much does it go in the x
direction? |
PxCxlsl_YwY | How much does it go in the y
direction? |
PxCxlsl_YwY | How much does it go in the z
direction? |
PxCxlsl_YwY | And, so, let's call this a
vector A. |
PxCxlsl_YwY | So, it's more convention.
When we have a vector quantity, |
PxCxlsl_YwY | we put an arrow on top to
remind us that it's a vector. |
PxCxlsl_YwY | If it's in the textbook,
then sometimes it's in bold |
PxCxlsl_YwY | because it's easier to typeset.
If you've tried in your |
PxCxlsl_YwY | favorite word processor,
bold is easy and vectors are |
PxCxlsl_YwY | not easy.
So, the vector you can try to |
PxCxlsl_YwY | decompose terms of unit vectors
directed along the coordinate |
PxCxlsl_YwY | axis.
So, the convention is there is |
PxCxlsl_YwY | a vector that we call
***amp***lt;i***amp***gt; |
PxCxlsl_YwY | hat that points along the x
axis and has length one. |
PxCxlsl_YwY | There's a vector called
***amp***lt;j***amp***gt; |
PxCxlsl_YwY | hat that does the same along
the y axis, |
PxCxlsl_YwY | and the
***amp***lt;k***amp***gt; |
PxCxlsl_YwY | hat that does the same along
the z axis. |
PxCxlsl_YwY | And, so, we can express any
vector in terms of its |
PxCxlsl_YwY | components.
So, the other notation is |
PxCxlsl_YwY | ***amp***lt;a1,
a2, a3 ***amp***gt; |
PxCxlsl_YwY | between these square brackets.
Well, in angular brackets. |
PxCxlsl_YwY | So, the length of a vector we
denote by, if you want, |
PxCxlsl_YwY | it's the same notation as the
absolute value. |
PxCxlsl_YwY | So, that's going to be a
number, as we say, |
PxCxlsl_YwY | now, a scalar quantity.
OK, so, a scalar quantity is a |
PxCxlsl_YwY | usual numerical quantity as
opposed to a vector quantity. |
PxCxlsl_YwY | And, its direction is sometimes
called dir A, |
PxCxlsl_YwY | and that can be obtained just
by scaling the vector down to |
PxCxlsl_YwY | unit length,
for example, |
PxCxlsl_YwY | by dividing it by its length.
So -- Well, there's a lot of |
PxCxlsl_YwY | notation to be learned.
So, for example, |
PxCxlsl_YwY | if I have two points,
P and Q, then I can draw a |
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