Scalar Multiplication & Unit Vectors
Introduction
- Scalar multiplication is the process of taking a vector and multiplying it by a number (a scalar).
- This operation changes the size (length) of the vector and may also change its direction.
What It Means to “Scale” a Vector
- A scalar is just a real number like $2$, $-3$, or $0.5$.
- To scale a vector means to multiply every component of the vector by that scalar.
- If $ \vec{v} = (v_1, v_2) $, then $$k\vec{v} = (kv_1, kv_2).$$
- Think of it like adjusting the volume on a speaker: the shape of the sound stays the same, but its intensity changes.
Positive Scaling: Stretching and Shrinking
- When $k > 0$, the vector keeps its direction.
- The vector becomes:
- Longer if $k > 1$
- Shorter if $0 < k < 1$
- Example:
- $2(3,1) = (6,2)$ stretches the vector to twice its length.
- $0.5(3,1) = (1.5,0.5)$ shrinks it to half its length.
Negative Scaling: Reversing Direction
- When $k < 0$, the vector flips to point in the opposite direction.
- The size still changes according to $|k|$.
- Example:
- $-1(3,1) = (-3,-1)$ flips the vector but keeps the same length.
- $-2(3,1) = (-6,-2)$ flips and stretches it.
Zero as a Special Case
- Multiplying any vector by $0$ gives the zero vector: $$0\vec{v} = (0,0).$$
- The zero vector has no direction and no length.
- This is the only time scalar multiplication destroys direction entirely.
Real‑World Examples of Scaling
- Physics: Doubling a force vector doubles the push in the same direction.
- Graphics: Shrinking an object uniformly is like scaling all its position vectors by $0.5$.
- Navigation: Reversing direction is like turning around and walking the same path backward.
- Economics: A vector representing quantities of goods can be scaled to represent bundles of different sizes.
Unit Vectors
Unit vectors are the “building blocks” of vector notation. They give a clean, simple way to describe direction without worrying about length. Once direction is fixed, any vector of any size can be built by scaling a unit vector.
What a Unit Vector Is
A unit vector is a vector whose length is exactly 1 unit.
Its only job is to show direction.
- Length (magnitude): $$|\hat{u}| = 1$$
- Direction: whatever direction the vector points
- Notation: a small “hat” over a letter, like \(\hat{u}\)
Examples:
- A unit vector pointing east
- A unit vector pointing straight up
- A unit vector pointing $45^\circ$ northeast
These all have different directions but the same length: 1 unit.
Standard Unit Vectors in the Plane
In 2‑dimensional space, two special unit vectors are used constantly:
- $\hat{i}$: one unit in the $x$-direction $$\hat{i} = (1, 0)$$
- $\hat{j}$: one unit in the $y$-direction $$\hat{j} = (0, 1)$$
Any vector in the plane can be written using these two.
Example:
A vector $(3, -2)$ can be written as: $$3\hat{i} - 2\hat{j}$$ This simply means “3 units right, 2 units down.”
Building Vectors from Unit Vectors
If you know a unit vector $\hat{u}$ that points in the direction you want, then any vector of length $L$ in that direction is: $$\vec{v} = L \hat{u}$$ Example:
A 5‑unit vector pointing in the direction of $\hat{u} = \left(\tfrac{\sqrt{3}}{2}, \tfrac{1}{2}\right)$ is: $$5\hat{u} = \left( \frac{5\sqrt{3}}{2},\ \frac{5}{2} \right)$$
Creating a Unit Vector from Any Vector
If you have a vector $\vec{v} = (x, y)$, you can turn it into a unit vector by dividing by its length.
- Compute the length: $$|\vec{v}| = \sqrt{x^2 + y^2}$$
- Divide each component by the length: $$\hat{v} = \frac{1}{|\vec{v}|}(x, y)$$
This gives a vector pointing in the same direction as $\vec{v}$, but with length 1.
Example:
$$\vec{v} = (3, 4)$$ Calculate the length: $$\sqrt{3^2 + 4^2} = 5$$ Unit vector: $$\hat{v} = \left(\frac{3}{5},\ \frac{4}{5}\right)$$
Unit Vectors from Angle + Length Notation
If a vector has length $L$ and angle $\theta$, then the unit vector in that direction is: $$\hat{u} = (\cos\theta,\ \sin\theta)$$ A vector of length $L$ in that direction is: $$\vec{v} = L(\cos\theta,\ \sin\theta)$$ Example:
A 1‑unit vector at $30^\circ$: $$(\cos 30^\circ,\ \sin 30^\circ) = \left(\frac{\sqrt{3}}{2},\ \frac{1}{2}\right)$$ A 5‑unit vector at the same angle: $$5\left(\frac{\sqrt{3}}{2},\ \frac{1}{2}\right)$$
Why Unit Vectors Matter
- They make vector expressions shorter and clearer.
- They separate direction from length, which is useful in physics and geometry.
- They make it easy to scale vectors up or down.
- They help convert between component form and angle‑plus‑length form.
A natural next step is to look at how unit vectors help with vector projections and decomposing vectors into directional components—would you like a section on that?
Common Mistakes and How to Avoid Them
- Mistake: Thinking negative scalars change the angle by something other than $180^\circ$.
- Fix: Remember: negative = flip.
- Mistake: Forgetting to multiply every component.
- Fix: Apply the scalar to each coordinate.
- Mistake: Confusing shrinking with “losing direction.”
- Fix: Only the zero vector loses direction.
Summary
- Scalar multiplication changes a vector’s length and possibly its direction.
- Positive scalars stretch or shrink.
- Negative scalars flip and stretch/shrink.
- Zero collapses everything to the zero vector.
- The operation is simple: multiply each component by the scalar.
Exercises
- Compute $2(3, -1)$.
- Compute $-3(1, 4)$.
- Compute $0(7, -2)$.
- A vector $\vec{v}$ has length $5$. What is the length of $4\vec{v}$?
- A vector $\vec{w}$ has length $10$. What is the length of $-0.5\vec{w}$?
- Does the vector change direction when multiplied by $0.2$? Explain briefly.
- Does the vector change direction when multiplied by $-1$? Explain briefly.
- If $\vec{v} = (2,3)$, find a scalar $k$ such that $k\vec{v} = (4,6)$.
- Describe in words what happens to a vector when multiplied by a scalar between $0$ and $1$.
- Describe in words what happens when a vector is multiplied by a negative scalar.