CalculusWithJuliaNotes.jl/CwJ/precalc/variables.jmd

# Variables

## Assignment

```julia; echo=false; results="hidden"
using CalculusWithJulia
using CalculusWithJulia.WeaveSupport

const frontmatter = (
        title = "Variables",
        description = "Calculus with Julia: Variables",
        tags = ["CalculusWithJulia", "precalc", "variables"],
);

nothing
```

```julia; echo=false;
imgfile = "figures/calculator.png"
caption = "Screenshot of a calculator provided by the Google search engine."
ImageFile(:precalc, imgfile, caption)
```


The Google calculator has a button `Ans` to refer to the answer to the
previous evaluation. This is a form of memory. The last answer is
stored in a specific place in memory for retrieval when `Ans` is
used. In some calculators, more advanced memory features are
possible. For some, it is possible to push values onto a stack of
values for them to be referred to at a later time. This proves useful
for complicated expressions, say, as the expression can be broken into
smaller intermediate steps to be computed. These values can then be
appropriately combined. This strategy is a good one, though the memory
buttons can make its implementation a bit cumbersome.

With `Julia`, as with other programming languages, it is very easy to
refer to past evaluations. This is done by *assignment* whereby a
computed value stored in memory is associated with a name. The name
can be used to look up the value later. Assignment does not change the value of the object being assigned, it only introduces a reference to it.

Assignment in `Julia` is handled by the equals sign and takes the general form `variable_name = value`. For example, here we assign values to the variables `x` and `y`


```julia;
x = sqrt(2)
y = 42
```

In an assignment, the right hand side is always returned, so it appears
nothing has happened. However, the values are there, as can be checked
by typing their name

```julia;
x
```


Just typing a variable name (without a trailing semicolon) causes the assigned value to be displayed.


Variable names can be reused, as here, where we redefine `x`:

```julia;hold=true
x = 2
```

!!! note
	The `Pluto` interface for `Julia` is idiosyncratic, as variables are *reactive*. This interface allows changes to a variable `x` to propogate to all other cells referring to `x`. Consequently, the variable name can only be assigned *once* per notebook **unless** the name is in some other namespace, which can be arranged by including the assignment inside a function or a `let` block.



`Julia` is referred to as a "dynamic language" which means (in most
cases) that a variable can be reassigned with a value of a different
type, as we did with `x` where first it was assigned to a floating
point value then to an integer value. (Though we meet some cases - generic functions -  where `Julia`
balks at reassigning a variable if the type if different.)




More importantly than displaying a value, is the use of variables to
build up more complicated expressions. For example, to compute

```math
\frac{1 + 2 \cdot 3^4}{5 - 6/7}
```

we might break it into the grouped pieces implied by the mathematical notation:

```julia;
top = 1 + 2*3^4
bottom = 5 - 6/7
top/bottom
```

### Examples

##### Example

Imagine we have the following complicated expression related to the trajectory of a [projectile](http://www.researchgate.net/publication/230963032_On_the_trajectories_of_projectiles_depicted_in_early_ballistic_woodcuts) with wind resistance:

```math
	\left(\frac{g}{k v_0\cos(\theta)} + \tan(\theta) \right) t + \frac{g}{k^2}\ln\left(1 - \frac{k}{v_0\cos(\theta)} t \right)
```

Here $g$ is the gravitational constant $9.8$ and $v_0$, $\theta$ and
$k$ parameters, which we take to be $200$, $45$ degrees, and $1/2$
respectively. With these values, the above expression can be computed
when $s=100$:

```julia;
g = 9.8
v0 = 200
theta = 45
k = 1/2
t = 100
a = v0 * cosd(theta)
(g/(k*a) + tand(theta))* t + (g/k^2) * log(1 - (k/a)*t)
```

By defining a new variable `a` to represent a value that is repeated a few times in the expression, the last command is greatly simplified. Doing so makes it much easier to check for accuracy against the expression to compute.

##### Example

A common expression in mathematics is a polynomial expression, for example $-16s^2 + 32s - 12$. Translating this to `Julia` at $s =3$ we might have:

```julia;
s = 3
-16*s^2 + 32*s - 12
```

This looks nearly identical to the mathematical expression, but we inserted `*` to indicate multiplication between the constant and the variable. In fact, this step is not needed as Julia allows numeric literals to have an implied multiplication:

```julia;
-16s^2 + 32s - 12
```




## Where math and computer notations diverge

It is important to recognize that `=` to `Julia` is not in analogy to
how $=$ is used in mathematical notation. The following `Julia` code
is not an equation:

```julia;hold=true
x = 3
x = x^2
```

What happens instead? The right hand side is evaluated (`x` is
squared), the result is stored and bound to the variable `x` (so that
`x` will end up pointing to the new value, `9`, and not the original one, `3`); finally the value computed on the
right-hand side is returned and in this case displayed, as there is no
trailing semicolon to suppress the output.

This is completely unlike the mathematical equation $x = x^2$ which is
typically solved for values of $x$ that satisfy the equation ($0$ and
$1$).

##### Example

Having `=` as assignment is usefully exploited when modeling
sequences. For example, an application of Newton's method might end up
with this expression:

```math
x_{i+1} = x_i - \frac{x_i^2 - 2}{2x_i}
```

As a mathematical expression, for each $i$ this defines a new value
for $x_{i+1}$ in terms of a known value $x_i$. This can be used to
recursively generate a sequence, provided some starting point is
known, such as $x_0 = 2$.

The above might be written instead with:

```julia;hold=true
x = 2
x = x - (x^2 - 2) / (2x)
x = x - (x^2 - 2) / (2x)
```

Repeating this last line will generate new values of `x` based on the
previous one - no need for subscripts. This is exactly what the
mathematical notation indicates is to be done.

## Context

The binding of a value to a variable name happens within some
context. For our simple illustrations, we are assigning values, as
though they were typed at the command line. This stores the binding in
the `Main` module. `Julia` looks for variables in this module when it
encounters an expression and the value is substituted. Other uses, such as when variables are defined within a function, involve different contexts which may not be
visible within the `Main` module.

!!! note
	The `varinfo` function will list the variables currently defined in the
	main workspace. There is no mechanism to delete a single variable.

!!! warning
	**Shooting oneselves in the foot.** `Julia` allows us to
	locally redefine variables that are built in, such as the value
	for `pi` or the function object assigned to `sin`. For example,
	this is a perfectly valid command `sin=3`. However, it will
	overwrite the typical value of `sin` so that `sin(3)` will be an
	error. At the terminal, the binding to `sin` occurs in the `Main`
	module. This shadows that value of `sin` bound in the `Base`
	module. Even if redefined in `Main`, the value in base can be used
	by fully qualifying the name, as in `Base.sin(pi)`. This uses the
	notation `module_name.variable_name` to look up a binding in a
	module.

## Variable names

`Julia` has a very wide set of possible
[names](https://docs.julialang.org/en/stable/manual/variables/#Allowed-Variable-Names-1)
for variables. Variables are case sensitive and their names can
include many
[Unicode](http://en.wikipedia.org/wiki/List_of_Unicode_characters)
characters. Names must begin with a letter or an appropriate Unicode
value (but not a number). There are some reserved words, such as `try`
or `else` which can not be assigned to. However, many built-in names
can be locally overwritten. Conventionally, variable names are lower
case. For compound names, it is not unusual to see them squished
together, joined with underscores, or written in camelCase.

```julia;
value_1 = 1
a_long_winded_variable_name = 2
sinOfX = sind(45)
__private = 2     # a convention
```

### Unicode names

Julia allows variable names to use Unicode identifiers. Such
names allow `julia` notation to mirror that of many
mathematical texts. For example, in calculus the variable $\epsilon$
is often used to represent some small number. We can assign to a
symbol that looks like $\epsilon$ using `Julia`'s LaTeX input
mode. Typing `\epsilon[tab]` will replace the text with the symbol
within `IJulia` or the command line.

```julia;
ϵ = 1e-10
```


Entering Unicode names follows the pattern of
"slash" + LaTeX name + `[tab]` key. Some other ones that are useful
are `\delta[tab]`, `\alpha[tab]`, and `\beta[tab]`, though there are
[hundreds](https://github.com/JuliaLang/julia/blob/master/stdlib/REPL/src/latex_symbols.jl)
of other values defined.


For example, we could have defined `theta` (`\theta[tab]`) and `v0` (`v\_0[tab]`) using Unicode to make them match more closely the typeset math:

```julia;
θ = 45; v₀ = 200
```

!!! note "Unicode"
	These notes can be presented as HTML files *or* as `Pluto` notebooks. They often use Unicode alternatives to avoid the `Pluto` requirement of a single use of assigning to a variable name in a notebook without placing the assignment in a `let` block or a function body.


!!! note "Emojis"
	There is even support for tab-completion of [emojis](https://github.com/JuliaLang/julia/blob/master/stdlib/REPL/src/emoji_symbols.jl) such as `\\:snowman:[tab]` or `\\:koala:[tab]`

##### Example

As mentioned the value of $e$ is bound to the Unicode value
`\euler[tab]` and not the letter `e`, so Unicode entry is required to
access this constant This isn't quite true. The `MathConstants` module
defines `e`, as well as a few other values accessed via Unicode. When
the `CalculusWithJulia` package is loaded, as will often be done in
these notes, a value of `exp(1)` is assigned to `e`.



## Tuple assignment

It is a common task to define more than one variable. Multiple definitions can be done in one line, using semicolons to break up the commands, as with:

```julia;hold=true
a = 1; b = 2; c=3
```



For convenience, `Julia` allows an alternate means to define more than one variable at a time. The syntax is similar:

```julia;hold=true
a, b, c = 1, 2, 3
b
```

This sets `a=1`, `b=2`, and `c=3`, as suggested. This construct relies
on *tuple destructuring*. The expression on the right hand side forms
a tuple of values. A tuple is a container for different types of
values, and in this case the tuple has 3 values. When the same number
of variables match on the left-hand side as those in the container on
the right, the names are assigned one by one.

The value on the right hand side is evaluated, then the assignment occurs. The following exploits this to swap the values assigned to `a` and `b`:

```julia;hold=true
a, b = 1, 2
a, b = b, a
```

#### Example, finding the slope

Find the slope of the line connecting the points $(1,2)$ and $(4,6)$. We begin by defining the values and then applying the slope formula:

```julia;
x0, y0 = 1, 2
x1, y1 = 4, 6
m = (y1 - y0) / (x1 - x0)
```

Of course, this could be computed directly with `(6-2) / (4-1)`, but by using familiar names for the values we can be certain we apply the formula properly.



## Questions

###### Question

Let $a=10$, $b=2.3$, and $c=8$. Find the value of $(a-b)/(a-c)$.

```julia; hold=true; echo=false;
a,b,c = 10, 2.3, 8;
numericq((a-b)/(a-c))
```


###### Question

Let `x = 4`. Compute $y=100 - 2x - x^2$. What is the value:

```julia; hold=true; echo=false;
x = 4
y =- 100 - 2x - x^2
numericq(y, 0.1)
```


###### Question

What is the answer to this computation?

```julia; eval=false
a = 3.2; b=2.3
a^b - b^a
```


```julia; hold=true; echo=false;
a = 3.2; b=2.3;
val = a^b - b^a;
numericq(val)
```


###### Question

For longer computations, it can be convenient to do them in parts, as
this makes it easier to check for mistakes.

For example, to compute

```math
\frac{p - q}{\sqrt{p(1-p)}}
```

for $p=0.25$ and $q=0.2$ we might do:



```julia; eval=false
p, q = 0.25, 0.2
top = p - q
bottom = sqrt(p*(1-p))
ans = top/bottom
```

What is the result of the above?

```julia; hold=true; echo=false;
p, q = 0.25, 0.2;
top = p - q;
bottom = sqrt(p*(1-p));
answ = top/bottom;
numericq(answ)
```

###### Question

Using variables to record the top and the bottom of the expression, compute the following for $x=3$:

```math
y = \frac{x^2 - 2x - 8}{x^2 - 9x - 20}.
```

```julia; hold=true; echo=false;
x = 3
val = (x^2 - 2x - 8)/(x^2 - 9x - 20)
numericq(val)
```

###### Question

Which if these is not a valid variable name (identifier) in `Julia`:

```julia; hold=true; echo=false;
choices = [
q"5degreesbelowzero",
q"some_really_long_name_that_is_no_fun_to_type",
q"aMiXeDcAsEnAmE",
q"fahrenheit451"
]
answ = 1
radioq(choices, answ)
```



###### Question

Which of these symbols is  one of `Julia`'s built-in math constants?

```julia; hold=true; echo=false;
choices = [q"pi", q"oo", q"E", q"I"]
answ = 1
radioq(choices, answ)
```



###### Question

What key sequence will produce this assignment

```julia; eval=false
δ = 1/10
```

```julia; hold=true; echo=false;
choices=[
q"\delta[tab] = 1/10",
q"delta[tab] = 1/10",
q"$\\delta$ = 1/10"]
answ = 1
radioq(choices, answ)
```


###### Question

Which of these three statements will **not** be a valid way to assign three variables at once:

```julia; hold=true; echo=false;
choices = [
q"a=1, b=2, c=3",
q"a,b,c = 1,2,3",
q"a=1; b=2; c=3"]
answ = 1
radioq(choices, answ)
```

###### Question

The fact that assignment *always* returns the value of the right hand side *and* the fact that the `=` sign associates from right to left means that the following idiom:

```julia; eval=false
x = y = z = 3
```

Will always:

```julia; hold=true; echo=false;
choices = ["Assign all three variables at once to a value of `3`",
"Create ``3`` linked values that will stay synced when any value changes",
"Throw an error"
]
answ = 1
radioq(choices, answ)
```