# Infinity Property in JavaScript

JavaScript | Infinity Property: Here, we are going to learn about the Infinity Property in JavaScript with its syntax and examples.
Submitted by Siddhant Verma, on January 10, 2020

## JavaScript | Infinity Property

The infinity property in JavaScript is much like the concept of infinity in mathematics where it is used to represent a number that is beyond our knowledge or one which cannot be expressed.

```console.log(Infinity);
console.log(-Infinity);
```

Output

```Infinity
-Infinity
```

Logging both positive infinity and negative infinity on the console does not give us the values of the numbers which indicates that in JavaScript too, infinity holds a perception of a very large number.

You can easily deduce what large numbers are in a programming language. They are numbers that go out of range.

```console.log(3.4576917263943217389012348562315E+1203466)
```

Output

```Infinity
```

This means that the number 3.4576917263943217389012348562315E+1203466 is considered an extremely large number and it indeed is since it falls out of the range of floating-point representation. As we know that JavaScript uses the floating-point representation to store numbers such large numbers are interpreted as Infinity.

```console.log(-3.4576917263943217389012348562315E+1203)
```

Output

```-Infinity
```

A number out of range of floating-point representation on the positive number line is interpreted as positive infinity and the number out of range of floating-point representation on the negative number line is interpreted as negative infinity.

```console.log(999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999999);
```

Output

```1e+219
```

The above number seems extremely large, doesn't it? However, if you look at 1e+219 and compare it with the infinity number 3.4576917263943217389012348562315E+1203 it seems extremely small! You can imagine how huge the limit of the floating-point representation is by comparing a huge number that you can imagine or think to the actual limit which is even beyond your imagination!

Languages: » C » C++ » C++ STL » Java » Data Structure » C#.Net » Android » Kotlin » SQL
Web Technologies: » PHP » Python » JavaScript » CSS » Ajax » Node.js » Web programming/HTML
Solved programs: » C » C++ » DS » Java » C#
Aptitude que. & ans.: » C » C++ » Java » DBMS
Interview que. & ans.: » C » Embedded C » Java » SEO » HR
CS Subjects: » CS Basics » O.S. » Networks » DBMS » Embedded Systems » Cloud Computing
» Machine learning » CS Organizations » Linux » DOS
More: » Articles » Puzzles » News/Updates