# Big O notation  Main Article Discussion Related Articles  [?] Bibliography  [?] External Links  [?] Citable Version  [?] This editable Main Article is under development and subject to a disclaimer. [edit intro]
More formally, if f and g are real valued functions of the real variable $t$ then the notation $f(t)=O(g(t))$ indicates that there exist a real number T and a constant C such that $|f(t)|\leq C|g(t)|$ for all $t>T.$ Similarly, if $a_{n}$ and $b_{n}$ are two numerical sequences then $a_{n}=O(b_{n})$ means that $|a_{n}|\leq C|b_{n}|$ for all n big enough.
The big O notation is also often used to indicate that the absolute value of a real valued function around some neighbourhood of a point is upper bounded by a constant multiple of the absolute value of another function, in that neigbourhood. For example, for a real number $t_{0}$ the notation $f(t)=O(g(t-t_{0}))$ , where g(t) is a function which is continuous at t = 0 with g(0) = 0, denotes that there exists a real positive constant C such that $|f(t)|\leq C|g(t-t_{0})|$ on some neighbourhood N of $t_{0}$ .