Vector joining two points
Give a GPS app the coordinates of two towns and it instantly draws an arrow from one to the other — direction, distance, everything. That arrow is a vector, and there is one clean rule for building it: subtract the tail's position vector from the head's. If and are points with position vectors and from a common origin , then . This single line is the workhorse of the Vector Algebra chapter. It is the first move on almost every coordinate-based vector question — finding a displacement, a distance, a direction, or checking whether three points sit on one straight line. It also quietly sets up two topics still to come: the section formula (which scales and adds this very vector) and direction ratios in Three-Dimensional Geometry (which are just its components). This article derives the rule from the triangle law and works two exam-style examples — a distance calculation and a collinearity proof.
The vector from point to point is always head minus tail: , built from position vectors measured from one common origin.
The core idea
From a picture to a formula. Draw the triangle formed by , , and . Walking from to and then from to lands you at the same place as walking directly from to — that is the triangle law of vector addition, and it is the entire proof, stated in the derivation block below.
In coordinates. If and , the rule becomes purely arithmetic: subtract corresponding coordinates.
where: is the tail point , is the head point , and are the unit vectors along the axes.
Length and direction. The magnitude of this vector is the straight-line distance , and its coefficients are direction ratios of the line through and — divide each by the magnitude to get direction cosines. This single computation therefore answers three different-sounding exam questions at once: "find the vector," "find the distance," and "find the direction ratios of the line."
where: the right side is the 3D distance formula applied to and .
Reversing the trip. Swapping which point is the tail flips the sign: . Same line, same length, opposite arrow.
Why the origin never shows up in the answer. It is worth pausing on this, because it looks strange at first: and both depend on where is placed, yet does not. Move the origin anywhere you like and both position vectors shift by exactly the same amount, so that shift cancels in the subtraction. This is precisely why is a genuine geometric property of the two points and alone — a physical arrow you could draw on paper without ever mentioning an origin — even though computing it algebraically happens to route through one.
Starting from the triangle law of vector addition applied to triangle and the definitions , , derive the formula for the vector joining tail point to head point , showing that it equals the head's position vector minus the tail's position vector regardless of where the two points actually sit in space.
Step 1. Walking from to and then from to reaches the same final point as walking directly from to . The triangle law of addition states this algebraically:
Step 2. Substitute the given position vectors and :
Step 3. Isolate by subtracting from both sides:
Step 4. This holds for any origin and any two points, provided and are measured from that same origin — the origin itself cancels out of the answer, which is why depends only on and , not on where was chosen.
Worked example
Find the vector , the distance , and the unit vector along , where and .
Step 1. Apply the rule — head minus tail , coordinate by coordinate.
Step 2. Find the magnitude, which is the distance .
Step 3. Divide the vector by its own magnitude to get the unit vector along .
So , the distance is units, and the direction ratios of line are . Final answer: , .
Competitive stretch
If , , have position vectors , , , show they are collinear.
Step 1. Compute .
Step 2. Compute .
Step 3. Check proportionality: . Since is a scalar multiple of and they share the common point , the points lie on one straight line — collinear.
Common traps
- Wrong subtraction order. is always head minus tail; swapping the order silently gives , the negative of what was asked.
- Mixing origins. The formula only works when and are both measured from the same fixed origin ; using position vectors quoted from different reference points gives a meaningless result.
- Picking unrelated vector pairs for a collinearity proof. You must use two vectors that share a common point, like and , and show they are parallel — not any two of , , chosen at random without checking the shared vertex.
- Stopping at "parallel" instead of "collinear," and reading direction ratios off the wrong vector. Proportional vectors alone prove the lines are parallel; only a shared point (such as in both and ) upgrades that to "the points lie on the same line." Similarly, the direction ratios of line come from the coordinate differences in itself, not from the coordinates of one endpoint quoted alone.
Ask the tutor: Want to see why feeds directly into the section formula, or try the collinearity proof with a fresh set of points?
Why is it b minus a and not a minus b
Because is defined to start at and end at — it represents the displacement needed to travel from to . The triangle law forces , head's position vector minus tail's. If you instead wanted the vector from to , you would compute , which is just the negative — same length, opposite direction.
Does the origin O affect the answer
No, and that is the useful part. Even though and individually depend on where you place , their difference does not: moving shifts both position vectors by the same amount, and that shift cancels out in the subtraction. The one requirement is that and must be measured from the same origin — mixing origins breaks the formula.
How is this different from finding the midpoint or a point dividing AB in a ratio, and does the formula change in 2D
This rule only gives the connecting vector and its length — it does not locate any new point. But it is the building block for those questions: once you know , the midpoint's position vector is , and the general section formula scales by the given ratio before adding it to — the very next topic. The same rule works unchanged in a plane: for and , just drop the term, giving , since the triangle-law derivation never depended on the number of dimensions.