Vector-Valued Function

Meaning of a vector-valued function, how it outputs vectors instead of single numbers, with simple examples.

1. What a Vector-Valued Function Means

A vector-valued function is a function whose output is a vector instead of a single real number. The input is usually a real number, but the output has multiple components, like (x, y) or (x, y, z).

So instead of producing one value, the function produces a point in space.

2. Formal Definition

If a function sends each input to a vector in \( \mathbb{R}^n \), it is called a vector-valued function.

2.1. Definition

\vec{f} : A \to \mathbb{R}^n

\vec{f}(t) = (f_1(t), f_2(t), ..., f_n(t))

Each component function \( f_i(t) \) is a real-valued function.

3. Examples of Vector-Valued Functions

Here are simple examples that show how outputs become vectors:

3.1. Example 1 — 2D Output

\vec{f}(t) = (t, t^2)

Each input t gives a pair of values.

3.2. Example 2 — 3D Output

\vec{g}(t) = (t, \sin t, e^t)

Output is a point in 3D space.

3.3. Example 3 — From Ordered Pairs

A vector-valued function written explicitly:

\vec{h} = \{(1, (2,3)), (2, (5,7)), (4, (9,1))\}

Each input has a vector as the output.

4. Component Functions

A vector-valued function is just several real-valued functions combined together. Each part of the output comes from one of these smaller functions.

4.1. Illustration

\vec{f}(t) = (f_1(t), f_2(t))

f_1(t) = t^2, \quad f_2(t) = 3t + 1

5. Graphing Vector-Valued Functions

Graphing depends on the dimension of the output:

  • 2D outputs → curves in the plane
  • 3D outputs → curves in space
  • Higher dimensions → cannot graph directly but can track components

6. Common Uses of Vector-Valued Functions

Vector-valued functions appear in many areas where motion or multidimensional outputs are natural.

6.1. Examples

  • Motion of an object in 2D or 3D space
  • Parametric curves
  • Velocity and acceleration as vector outputs
  • Transformations in geometry

7. Why Vector-Valued Functions Matter

They allow us to describe movement, geometry, and multidimensional patterns in a compact and organized way. By combining multiple real-valued functions into one vector output, they provide a powerful way to represent points, directions, and curves.