Deep (learning) like Jacques Cousteau – Part 4 – Scalar multiplication

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(TL;DR: Multiply a vector by a scalar one element at a time.)

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Graffiti upamiętniające Nate Dogga na ujściu wody oligoceńskiej przy skrzyżowaniu al. Solidarności i ul. Żelaznej w Warszawie.

We build, we stack, we multiply

Nate Dogg from ‘Multiply’ by Xzibit

we learnt about vectors. Before
we learnt about scalars. What happens when we multiply a vector
by a scalar

(I don’t know where I’m going with this diagram…but bear with me!)

Today’s topic: Multiplying vectors by scalars

Let’s use our vector from last time.

Let’s pick a scalar to multiply it by. I like the number two, so
let’s multiply it by two!

To evaluate this, we perform scalar multiplication. That is, we
multiply each element of our vector by our scalar. Easy!

More generally, if our vector contains elements
and we multiply it by some scalar , we get:

How can we perform scalar multiplication in R?

This is easy. It’s what R does by default.

Let’s define our vector, x.

x <- c(1, 2, 3)
## [1] 1 2 3

Let’s define our scalar, c.

c <- 2
## [1] 2

Now, let’s multiply our vector by our scalar.

c * x
## [1] 2 4 6

Boom! The power of vectorisation!

How does type coercion affect scalar multiplication?

The comments we made in an earlier post about type coercion apply
here. Let’s define x as an integer vector.

x <- c(1L, 2L, 3L)
## [1] "integer"

Our scalar c may also look like an integer, but it has been stored
as a numeric type, which is our proxy for real numbers.

## [1] 2
## [1] "numeric"

So when we multiply a numeric type by our integer vector, we
get a result in the more general numeric type!

class(c * x)
## [1] "numeric"


To multiply a vector by a scalar, simply multiply each element of the vector by the scalar. This is pretty easy, isn’t it?

Let’s learn how to add two vectors before we cover dot products.
Only then can we enter the matrix!


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