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This is a reference to ease developers into mathematical notation by showing comparisons with JavaScript code.

Motivation: Academic papers can be intimidating for self-taught game and graphics programmers. :)

This guide is not yet finished. If you see errors or want to contribute, please open a ticket or send a PR.

Note: For brevity, some code examples make use of npm packages. You can refer to their GitHub repos for implementation details.

Mathematical symbols can mean different things depending on the author, context and the field of study (linear algebra, set theory, etc). This guide may not cover all uses of a symbol. In some cases, real-world references (blog posts, publications, etc) will be cited to demonstrate how a symbol might appear in the wild.

For a more complete list, refer to Wikipedia - List of Mathematical Symbols.

For simplicity, many of the code examples here operate on floating point values and are not numerically robust. For more details on why this may be a problem, see Robust Arithmetic Notes by Mikola Lysenko.

• variable name conventions
• equals = ≈ ≠ :=
• square root and complex numbers √ i
• dot & cross · × ∘
  • scalar multiplication
  • vector multiplication
  • dot product
  • cross product
• sigma Σ - summation
• capital Pi Π - products of sequences
• pipes ||
  • absolute value
  • Euclidean norm
  • determinant
• hat â - unit vector
• "element of" ∈ ∉
• common number sets ℝ ℤ ℚ ℕ
• function ƒ
  • piecewise function
  • common functions
  • function notation ↦ →
• prime ′
• floor & ceiling ⌊ ⌉
• arrows
  • material implication ⇒ →
  • equality < ≥ ≫
  • conjunction & disjunction ∧ ∨
• logical negation ¬ ~ !
• intervals
• more...

There are a variety of naming conventions depending on the context and field of study, and they are not always consistent. However, in some of the literature you may find variable names to follow a pattern like so:

• s - italic lowercase letters for scalars (e.g. a number)
• x - bold lowercase letters for vectors (e.g. a 2D point)
• A - bold uppercase letters for matrices (e.g. a 3D transformation)
• θ - italic lowercase Greek letters for constants and special variables (e.g. polar angle θ, theta)

This will also be the format of this guide.

There are a number of symbols resembling the equals sign =. Here are a few common examples:

• = is for equality (values are the same)
• ≠ is for inequality (value are not the same)
• ≈ is for approximately equal to (π ≈ 3.14159)
• := is for definition (A is defined as B)

In JavaScript:

// equality
2 === 3

// inequality
2 !== 3

// approximately equal
almostEqual(Math.PI, 3.14159, 1e-5)

function almostEqual(a, b, epsilon) {
  return Math.abs(a - b) <= epsilon
}

You might see the :=, =: and = symbols being used for definition.¹

For example, the following defines x to be another name for 2kj.

In JavaScript, we might use var to define our variables and provide aliases:

var x = 2 * k * j

However, this is mutable, and only takes a snapshot of the values at that time. Some languages have pre-processor #define statements, which are closer to a mathematical define.

A more accurate define in JavaScript (ES6) might look a bit like this:

const f = (k, j) => 2 * k * j

The following, on the other hand, represents equality:

The above equation might be interpreted in code as an assertion:

console.assert(x === (2 * k * j))

A square root operation is of the form:

In programming we use a sqrt function, like so:

var x = 9;
console.log(Math.sqrt(x));
//=> 3

Complex numbers are expressions of the form , where is the real part and is the imaginary part. The imaginary number is defined as:

.

In JavaScript, there is no built-in functionality for complex numbers, but there are some libraries that support complex number arithmetic. For example, using mathjs:

var math = require('mathjs')

var a = math.complex(3, -1)
//=> { re: 3, im: -1 }

var b = math.sqrt(-1)
//=> { re: 0, im: 1 }

console.log(math.multiply(a, b).toString())
//=> '1 + 3i'

The library also supports evaluating a string expression, so the above could be re-written as:

console.log(math.eval('(3 - i) * i').toString())
//=> '1 + 3i'

Other implementations:

• immutable-complex
• complex-js
• Numeric-js

The dot · and cross × symbols have different uses depending on context.

They might seem obvious, but it's important to understand the subtle differences before we continue into other sections.

Both symbols can represent simple multiplication of scalars. The following are equivalent:

In programming languages we tend to use asterisk for multiplication:

var result = 5 * 4

Often, the multiplication sign is only used to avoid ambiguity (e.g. between two numbers). Here, we can omit it entirely:

If these variables represent scalars, the code would be:

var result = 3 * k * j

To denote multiplication of one vector with a scalar, or element-wise multiplication of a vector with another vector, we typically do not use the dot · or cross × symbols. These have different meanings in linear algebra, discussed shortly.

Let's take our earlier example but apply it to vectors. For element-wise vector multiplication, you might see an open dot ∘ to represent the Hadamard product.²

In other instances, the author might explicitly define a different notation, such as a circled dot ⊙ or a filled circle ●.³

Here is how it would look in code, using arrays [x, y] to represent the 2D vectors.

var s = 3
var k = [ 1, 2 ]
var j = [ 2, 3 ]

var tmp = multiply(k, j)
var result = multiplyScalar(tmp, s)
//=> [ 6, 18 ]

Our multiply and multiplyScalar functions look like this:

function multiply(a, b) {
  return [ a[0] * b[0], a[1] * b[1] ]
}

function multiplyScalar(a, scalar) {
  return [ a[0] * scalar, a[1] * scalar ]
}

Similarly, matrix multiplication typically does not use the dot · or cross symbol ×. Matrix multiplication will be covered in a later section.

The dot symbol · can be used to denote the dot product of two vectors. Sometimes this is called the scalar product since it evaluates to a scalar.

It is a very common feature of linear algebra, and with a 3D vector it might look like this:

var k = [ 0, 1, 0 ]
var j = [ 1, 0, 0 ]

var d = dot(k, j)
//=> 0

The result 0 tells us our vectors are perpendicular. Here is a dot function for 3-component vectors:

function dot(a, b) {
  return a[0] * b[0] + a[1] * b[1] + a[2] * b[2]
}

The cross symbol × can be used to denote the cross product of two vectors.

In code, it would look like this:

var k = [ 0, 1, 0 ]
var j = [ 1, 0, 0 ]

var result = cross(k, j)
//=> [ 0, 0, -1 ]

Here, we get [ 0, 0, -1 ], which is perpendicular to both k and j.

Our cross function:

function cross(a, b) {
  var ax = a[0], ay = a[1], az = a[2],
    bx = b[0], by = b[1], bz = b[2]

  var rx = ay * bz - az * by
  var ry = az * bx - ax * bz
  var rz = ax * by - ay * bx
  return [ rx, ry, rz ]
}

For other implementations of vector multiplication, cross product, and dot product:

• gl-vec3
• gl-vec2
• vectors - includes n-dimensional

The big Greek Σ (Sigma) is for Summation. In other words: summing up some numbers.

Here, i=1 says to start at 1 and end at the number above the Sigma, 100. These are the lower and upper bounds, respectively. The i to the right of the "E" tells us what we are summing. In code:

var sum = 0
for (var i = 1; i <= 100; i++) {
  sum += i
}

The result of sum is 5050.

Tip: With whole numbers, this particular pattern can be optimized to the following:

var n = 100 // upper bound
var sum = (n * (n + 1)) / 2

Here is another example where the i, or the "what to sum," is different:

In code:

var sum = 0
for (var i = 1; i <= 100; i++) {
  sum += (2 * i + 1)
}

The result of sum is 10200.

The notation can be nested, which is much like nesting a for loop. You should evaluate the right-most sigma first, unless the author has enclosed them in parentheses to alter the order. However, in the following case, since we are dealing with finite sums, the order does not matter.

In code:

var sum = 0
for (var i = 1; i <= 2; i++) {
  for (var j = 4; j <= 6; j++) {
    sum += (3 * i * j)
  }
}

Here, sum will be 135.

The capital Pi or "Big Pi" is very similar to Sigma, except we are using multiplication to find the product of a sequence of values.

Take the following:

In code, it might look like this:

var value = 1
for (var i = 1; i <= 6; i++) {
  value *= i
}

Where value will evaluate to 720.

Pipe symbols, known as bars, can mean different things depending on the context. Below are three common uses: absolute value, Euclidean norm, and determinant.

These three features all describe the length of an object.

For a number x, |x| means the absolute value of x. In code:

var x = -5
var result = Math.abs(x)
// => 5

For a vector v, ‖v‖ is the Euclidean norm of v. It is also referred to as the "magnitude" or "length" of a vector.

Often this is represented by double-bars to avoid ambiguity with the absolute value notation, but sometimes you may see it with single bars:

Here is an example using an array [x, y, z] to represent a 3D vector.

var v = [ 0, 4, -3 ]
length(v)
//=> 5

The length function:

function length (vec) {
  var x = vec[0]
  var y = vec[1]
  var z = vec[2]
  return Math.sqrt(x * x + y * y + z * z)
}

Other implementations:

• magnitude - n-dimensional
• gl-vec2/length - 2D vector
• gl-vec3/length - 3D vector

For a matrix A, |A| means the determinant of matrix A.

Here is an example computing the determinant of a 2x2 matrix, represented by a flat array in column-major format.

var determinant = require('gl-mat2/determinant')

var matrix = [ 1, 0, 0, 1 ]
var det = determinant(matrix)
//=> 1

Implementations:

• gl-mat4/determinant - also see gl-mat3 and gl-mat2
• ndarray-determinant
• glsl-determinant
• robust-determinant
• robust-determinant-2 and robust-determinant-3, specifically for 2x2 and 3x3 matrices, respectively

In geometry, the "hat" symbol above a character is used to represent a unit vector. For example, here is the unit vector of a:

In Cartesian space, a unit vector is typically length 1. That means each part of the vector will be in the range of -1.0 to 1.0. Here we normalize a 3D vector into a unit vector:

var a = [ 0, 4, -3 ]
normalize(a)
//=> [ 0, 0.8, -0.6 ]

Here is the normalize function, operating on 3D vectors:

function normalize(vec) {
  var x = vec[0]
  var y = vec[1]
  var z = vec[2]
  var squaredLength = x * x + y * y + z * z

  if (squaredLength > 0) {
    var length = Math.sqrt(squaredLength)
    vec[0] = x / length
    vec[1] = y / length
    vec[2] = z / length
  }
  return vec
}

Other implementations:

• gl-vec3/normalize and gl-vec2/normalize
• vectors/normalize-nd (n-dimensional)

In set theory, the "element of" symbol ∈ and ∋ can be used to describe whether something is an element of a set. For example:

Here we have a set of numbers A { 3, 9, 14 } and we are saying 3 is an "element of" that set.

A simple implementation in ES5 might look like this:

var A = [ 3, 9, 14 ]

A.indexOf(3) >= 0
//=> true

However, it would be more accurate to use a Set which only holds unique values. This is a feature of ES6.

var A = new Set([ 3, 9, 14 ])

A.has(3)
//=> true

The backwards ∋ is the same, but the order changes:

You can also use the "not an element of" symbols ∉ and ∌ like so:

You may see some some large Blackboard letters among equations. Often, these are used to describe sets.

For example, we might describe k to be an element of the set ℝ.

Listed below are a few common sets and their symbols.

The large ℝ describes the set of real numbers. These include integers, as well as rational and irrational numbers.

JavaScript treats floats and integers as the same type, so the following would be a simple test of our k ∈ ℝ example:

function isReal (k) {
  return typeof k === 'number' && isFinite(k);
}

Note: Real numbers are also finite, as in, not infinite.

Rational numbers are real numbers that can be expressed as a fraction, or ratio (like ⅗). Rational numbers cannot have zero as a denominator.

This also means that all integers are rational numbers, since the denominator can be expressed as 1.

An irrational number, on the other hand, is one that cannot be expressed as a ratio, like π (PI).

An integer, i.e. a real number that has no fractional part. These can be positive or negative.

A simple test in JavaScript might look like this:

function isInteger (n) {
  return typeof n === 'number' && n % 1 === 0
}

A natural number, a positive and non-negative integer. Depending on the context and field of study, the set may or may not include zero, so it could look like either of these:

{ 0, 1, 2, 3, ... }
{ 1, 2, 3, 4, ... }

The former is more common in computer science, for example:

function isNaturalNumber (n) {
  return isInteger(n) && n >= 0
}

A complex number is a combination of a real and imaginary number, viewed as a co-ordinate in the 2D plane. For more info, see A Visual, Intuitive Guide to Imaginary Numbers.

Functions are fundamental features of mathematics, and the concept is fairly easy to translate into code.

A function relates an input to an output value. For example, the following is a function:

We can give this function a name. Commonly, we use ƒ to describe a function, but it could be named A(x) or anything else.

In code, we might name it square and write it like this:

function square (x) {
  return Math.pow(x, 2)
}

Sometimes a function is not named, and instead the output is written.

In the above example, x is the input, the relationship is squaring, and y is the output.

Functions can also have multiple parameters, like in a programming language. These are known as arguments in mathematics, and the number of arguments a function takes is known as the arity of the function.

In code:

function length (x, y) {
  return Math.sqrt(x * x + y * y)
}

Some functions will use different relationships depending on the input value, x.

The following function ƒ chooses between two "sub functions" depending on the input value.

This is very similar to if / else in code. The right-side conditions are often written as "for x < 0" or "if x = 0". If the condition is true, the function to the left is used.

In piecewise functions, "otherwise" and "elsewhere" are analogous to the else statement in code.

function f (x) {
  if (x >= 1) {
    return (Math.pow(x, 2) - x) / x
  } else {
    return 0
  }
}

There are some function names that are ubiquitous in mathematics. For a programmer, these might be analogous to functions "built-in" to the language (like parseInt in JavaScript).

One such example is the sgn function. This is the signum or sign function. Let's use piecewise function notation to describe it:

In code, it might look like this:

function sgn (x) {
  if (x < 0) return -1
  if (x > 0) return 1
  return 0
}

See signum for this function as a module.

Other examples of such functions: sin, cos, tan.

In some literature, functions may be defined with more explicit notation. For example, let's go back to the square function we mentioned earlier:

It might also be written in the following form:

The arrow here with a tail typically means "maps to," as in x maps to x².

Sometimes, when it isn't obvious, the notation will also describe the domain and codomain of the function. A more formal definition of ƒ might be written as:

A function's domain and codomain is a bit like its input and output types, respectively. Here's another example, using our earlier sgn function, which outputs an integer:

The arrow here (without a tail) is used to map one set to another.

In JavaScript and other dynamically typed languages, you might use documentation and/or runtime checks to explain and validate a function's input/output. Example:

/**
 * Squares a number.
 * @param  {Number} a real number
 * @return {Number} a real number
 */
function square (a) {
  if (typeof a !== 'number') {
    throw new TypeError('expected a number')
  }
  return Math.pow(a, 2)
}

Some tools like flowtype attempt to bring static typing into JavaScript.

Other languages, like Java, allow for true method overloading based on the static types of a function's input/output. This is closer to mathematics: two functions are not the same if they use a different domain.

The prime symbol (′) is often used in variable names to describe things which are similar, without giving it a different name altogether. It can describe the "next value" after some transformation.

For example, if we take a 2D point (x, y) and rotate it, you might name the result (x′, y′). Or, the transpose of matrix M might be named M′.

In code, we typically just assign the variable a more descriptive name, like transformedPosition.

For a mathematical function, the prime symbol often describes the derivative of that function. Derivatives will be explained in a future section. Let's take our earlier function:

Its derivative could be written with a prime ′ symbol:

In code:

function f (x) {
  return Math.pow(x, 2)
}

function fPrime (x) {
  return 2 * x
}

Multiple prime symbols can be used to describe the second derivative ƒ′′ and third derivative ƒ′′′. After this, authors typically express higher orders with roman numerals ƒ^IV or superscript numbers ƒ⁽ⁿ⁾.

The special brackets ⌊x⌋ and ⌈x⌉ represent the floor and ceil functions, respectively.

In code:

Math.floor(x)
Math.ceil(x)

When the two symbols are mixed ⌊x⌉, it typically represents a function that rounds to the nearest integer:

In code:

Math.round(x)

Arrows are often used in function notation. Here are a few other areas you might see them.

Arrows like ⇒ and → are sometimes used in logic for material implication. That is, if A is true, then B is also true.

Interpreting this as code might look like this:

if (A === true) {
  console.assert(B === true)
}

The arrows can go in either direction ⇐ ⇒, or both ⇔. When A ⇒ B and B ⇒ A, they are said to be equivalent:

In math, the < > ≤ and ≥ are typically used in the same way we use them in code: less than, greater than, less than or equal to and greater than or equal to, respectively.

50 > 2 === true
2 < 10 === true
3 <= 4 === true
4 >= 4 === true

On rare occasions you might see a slash through these symbols, to describe not. As in, k is "not greater than" j.

The ≪ and ≫ are sometimes used to represent significant inequality. That is, k is an order of magnitude larger than j.

In mathematics, order of magnitude is rather specific; it is not just a "really big difference." A simple example of the above:

orderOfMagnitude(k) > orderOfMagnitude(j)

And below is our orderOfMagnitude function, using Math.trunc (ES6).

function log10(n) {
  // logarithm in base 10
  return Math.log(n) / Math.LN10
}

function orderOfMagnitude (n) {
  return Math.trunc(log10(n))
}

^{Note: This is not numerically robust.}

See math-trunc for a ponyfill in ES5.

Another use of arrows in logic is conjunction ∧ and disjunction ∨. They are analogous to a programmer's AND and OR operators, respectively.

The following shows conjunction ∧, the logical AND.

In JavaScript, we use &&. Assuming k is a natural number, the logic implies that k is 3:

if (k > 2 && k < 4) {
  console.assert(k === 3)
}

Since both sides are equivalent ⇔, it also implies the following:

if (k === 3) {
  console.assert(k > 2 && k < 4)
}

The down arrow ∨ is logical disjunction, like the OR operator.

In code:

A || B

Occasionally, the ¬, ~ and ! symbols are used to represent logical NOT. For example, ¬A is only true if A is false.

Here is a simple example using the not symbol:

An example of how we might interpret this in code:

if (x !== y) {
  console.assert(!(x === y))
}

Note: The tilde ~ has many different meanings depending on context. For example, row equivalence (matrix theory) or same order of magnitude (discussed in equality).

Sometimes a function deals with real numbers restricted to some range of values, such a constraint can be represented using an interval

For example we can represent the numbers between zero and one including/not including zero and/or one as:

• Not including zero or one:

• Including zero or but not one:

• Not including zero but including one:

• Including zero and one:

For example we to indicate that a point x is in the unit cube in 3D we say:

In code we can represent an interval using a two element 1d array:

var nextafter = require('nextafter')

var a = [nextafter(0, Infinity), nextafter(1, -Infinity)]     // open interval
var b = [nextafter(0, Infinity), 1]                           // interval closed on the left 
var c = [0, nextafter(1, -Infinity)]                          // interval closed on the right
var d = [0, 1]                                                // closed interval

Intervals are used in conjunction with set operations:

• intersection e.g.

• union e.g.

• difference e.g. and

In code:

var Interval = require('interval-arithmetic')
var nextafter = require('nextafter')

var a = Interval(3, nextafter(5, -Infinity))
var b = Interval(4, 6)

Interval.intersection(a, b)
// {lo: 4, hi: 4.999999999999999}

Interval.union(a, b)
// {lo: 3, hi: 6}

Interval.difference(a, b)
// {lo: 3, hi: 3.9999999999999996}

Interval.difference(b, a)
// {lo: 5, hi: 6}

See:

• next-after
• interval-arithmetic

Like this guide? Suggest some more features or send us a Pull Request!

For details on how to contribute, see CONTRIBUTING.md.

MIT, see LICENSE.md for details.