Vector Addition and the Parallelogram Law
Learning objectives
- Add and subtract points (vectors) in the coordinate plane
- Understand the parallelogram law geometrically
- Apply scalar multiplication to point operations
Points in the plane can be added. That sentence sounds strange the first time you read it, points are locations, not numbers. But once we have coordinates, adding two points coordinate-wise yields a third point with a clean geometric meaning: the diagonal of a parallelogram. This single observation upgrades the plane from a set of locations to an algebraic vector space, the same structure that powers physics, linear algebra, and computer graphics.
The algebra: addition and subtraction
For and , define
That is, add or subtract coordinate-wise. Combined with scalar multiplication from the previous section, we have a full algebra. These satisfy familiar laws: addition is commutative (), associative (); the zero vector is ; the additive inverse of is ; and scalar multiplication distributes: and .
The geometry: parallelogram law
Now the geometric meaning. Given two points and (and the origin ), the four points
form the vertices of a parallelogram. The point sits at the vertex diagonally opposite to . Equivalently, to compute geometrically: translate to start at ; its endpoint lands on . This is the parallelogram law, the geometric face of vector addition.
- Physics: Forces add as vectors: two ropes pulling on a heavy box with forces and produce a net force , found by drawing the parallelogram of forces, that diagram is exactly the parallelogram law.
- Sailing: A sailboat's velocity-made-good against the wind is computed by parallelogram-adding the boat's velocity through the water and the current's velocity over ground.
- Computer Animation: Blending two animations (e.g., "walking" and "reaching") uses linear combinations of pose vectors: is parallelogram-law interpolation in joint-angle space.
Drag and . The widget draws the four-vertex parallelogram and labels . The accent diagonal from the origin to is the sum vector.
Subtraction = displacement
The difference represents the displacement vector from to . To move from to , you must translate by . Its length is the distance between the two points, the same distance formula from §8.2. So distance, midpoint, and vector subtraction are three views of one operation.
Linear combinations
Combining scalar multiplication with addition produces all linear combinations . These are the building blocks of every line and plane in the textbook. A line through the origin in direction consists of all for ; an arbitrary line through in direction consists of all . Everything geometric we will do for the rest of the book is built on these two operations.
Try it
- Predict first: for and is what? Place both vectors in the widget and verify the sum lights up at , the parallelogram's far corner.
- If three vertices of a parallelogram are , , , the fourth vertex is .
- Predict first: what should equal for any ? Place and verify lands at the origin, the additive inverse rule for vectors.
A trap to watch for
The parallelogram law gives as the opposite vertex from , not as one of the adjacent vertices. A common error is to draw and and then label one of them as . The sum lives at the corner that the parallelogram completes, diagonally across from the origin. Sanity check: should be the vertex whose position vector from equals the sum of the position vectors of and . If your "sum" coincides with or or , something is wrong.
What you now know
You can add, subtract, and scale points, and you can interpret each operation geometrically, addition as the parallelogram law, subtraction as the displacement between two points. These laws turn the plane into a vector space over , the foundation for the next chapter on segments, rays, and lines (and ultimately for all of linear algebra).
Quick check
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References
- Lang, S. (1971). Basic Mathematics. Springer. Chapter 9, §2, point addition and the parallelogram law.
- Halmos, P. R. (1958). Finite-Dimensional Vector Spaces, 2nd ed. Springer. §1 abstracts the parallelogram-law structure into the axioms of a vector space.
- Coxeter, H. S. M. (1969). Introduction to Geometry, 2nd ed. Wiley. §13 covers affine transformations, the broader framework.
- Artin, M. (2011). Algebra, 2nd ed. Pearson. Chapter 3 develops vector spaces in the context of linear algebra.