In short
A vector is a quantity that has both magnitude (size) and direction. Displacement, velocity, and force are vectors. A scalar has only magnitude — temperature, mass, speed. Any vector in a plane can be written as \vec{A} = A_x\hat{i} + A_y\hat{j}, where A_x and A_y are its components along the x and y axes. The magnitude is |\vec{A}| = \sqrt{A_x^2 + A_y^2}.
You are standing at India Gate in the centre of Delhi. A friend asks you: "How far is Connaught Place from here?" You answer: "About 3 kilometres." That is useful — it tells your friend the distance. But now suppose your friend is a delivery driver who needs to actually get there. "3 kilometres" is no longer enough. They need to know: 3 kilometres in which direction? North-west, as it happens. The distance alone is a number. The distance plus the direction is something fundamentally different — it is a vector.
This distinction — between quantities that need only a number and quantities that need a number and a direction — runs through all of physics. Temperature is 38°C. That is a complete statement; temperature has no direction. But the wind is blowing at 20 km/h from the south. Drop the "from the south" and you have lost half the information. The wind speed alone does not tell you whether your kite will fly north or get pushed into your neighbour's terrace.
Physics is full of both kinds. This article is about learning to tell them apart, and about the notation that makes vectors precise enough to compute with.
Scalars — when a number is enough
Some physical quantities are completely described by a single number (with a unit). These are called scalars.
Scalar
A scalar is a physical quantity that has magnitude only — no direction. It is fully specified by a number and a unit.
Examples you already know:
| Quantity | Example value | Direction? |
|---|---|---|
| Temperature | 42°C in Delhi, May | No — temperature has no direction |
| Mass | 160 g (a cricket ball) | No — a cricket ball's mass is the same in every direction |
| Time | 3.5 seconds | No |
| Speed | 140 km/h | No — speed is how fast, not which way |
| Energy | 500 joules | No |
| Distance | 3 km | No — distance is how far, not which way |
The key word is magnitude — the "how much" of a quantity. A scalar is all magnitude, no direction. When you add two scalars, ordinary arithmetic works: 2 kg + 3 kg = 5 kg. Simple.
Vectors — when direction changes everything
Now consider force. You push a cricket ball with 5 N of force. Is that a complete description? Not at all. A 5 N push to the right sends the ball rolling right. A 5 N push upward sends it into the air. The same magnitude, but a different direction, produces a completely different physical outcome. Force is not a scalar — it is a vector.
Vector
A vector is a physical quantity that has both magnitude (how much) and direction (which way). It is not fully described by a number alone.
Here are the quantities that need direction:
| Quantity | Example | Why direction matters |
|---|---|---|
| Displacement | 3 km north-west | Tells you where you end up, not just how far |
| Velocity | 140 km/h due east | A fast bowler's delivery: speed and direction |
| Acceleration | 9.8 m/s² downward | Gravity pulls down, not sideways |
| Force | 50 N at 37° above horizontal | Push direction changes the motion |
| Momentum | 6.2 kg·m/s north | Carries the direction of the velocity |
Notice the pair: distance is a scalar, but displacement is a vector. Speed is a scalar, but velocity is a vector. The scalar version answers "how much?" The vector version answers "how much, and in which direction?"
Here is a concrete example of why this matters. Suppose you walk 4 km east through a Delhi market, then turn and walk 3 km north. The total distance you walked is 7 km — scalar addition, simple arithmetic. But your displacement — how far you actually are from where you started, and in which direction — is not 7 km. It is 5 km, pointing north-east. The displacement depends on direction, and adding directed quantities is not the same as adding plain numbers.
Representing vectors — arrows with purpose
How do you draw a vector? With an arrow. The arrow has two features that carry the two pieces of information:
- The length of the arrow represents the magnitude.
- The direction the arrow points represents the direction.
Notation — how to write a vector on paper
When you write a vector, you need to distinguish it from a scalar. Physics uses several conventions:
- Arrow notation: \vec{A} — the letter with a small arrow on top. This is the standard in Indian textbooks (NCERT, HC Verma) and what you will use most often.
- Bold notation: A — used in printed textbooks where arrows are hard to typeset.
- The magnitude of vector \vec{A} is written as |\vec{A}| or simply A (the same letter, no arrow, no bold). It is always a positive number (or zero).
So \vec{v} is a velocity vector (has direction), and v = |\vec{v}| is the speed (just the magnitude, a scalar).
Unit vectors — direction without magnitude
A unit vector is a vector whose magnitude is exactly 1. It carries pure direction information and no magnitude information. You write it with a "hat" (a small caret on top):
Why: dividing any vector by its own magnitude strips out the "how big" part and leaves only the "which way" part. The result has magnitude 1.
If \vec{A} points north-east with a magnitude of 50 N, then \hat{A} still points north-east but has magnitude 1 (dimensionless). It is a pure direction marker.
Position vectors, displacement vectors, and free vectors
Not all vectors behave the same way. There are three important categories to understand early.
A position vector points from the origin to a specific point. If you set up a coordinate system with your school as the origin, then the position vector of your home tells you exactly where your home is — both distance and direction from the school. A position vector is tied to the origin; move the origin, and the vector changes.
A displacement vector tells you how to get from one point to another. If you walk from your school gate to the chai stall across the road — 50 m due south — that is a displacement of 50 m south. The displacement does not depend on where the origin is. It depends only on where you started and where you ended.
A free vector is one that can be moved anywhere in space without changing its meaning, as long as you keep its magnitude and direction the same. Force and velocity are free vectors — a 10 N force pushing east is the same physical force whether it acts at point A or point B (assuming the same body).
The key insight: two arrows that have the same length and point in the same direction represent the same free vector, regardless of where they are drawn.
The unit vectors \hat{i}, \hat{j}, \hat{k} — a coordinate language for vectors
Saying "50 N at 37° above the horizontal" is fine for everyday speech, but physics needs something more systematic. You need a way to break any vector into a standard set of directions that you can compute with. That is where the standard unit vectors come in.
Set up a coordinate system — a pair of perpendicular axes. The x-axis points to the right, the y-axis points upward. Now define:
- \hat{i} = the unit vector pointing in the +x direction (to the right)
- \hat{j} = the unit vector pointing in the +y direction (upward)
- \hat{k} = the unit vector pointing in the +z direction (out of the page, for 3D problems)
Each has magnitude 1. Each points along one axis and no other.
Components — breaking a vector into \hat{i} and \hat{j} pieces
Here is the most powerful idea in this article. Any vector in a 2D plane can be written as a sum of two pieces — one along the x-axis and one along the y-axis.
Take a vector \vec{A} that makes an angle \theta with the positive x-axis. Drop a perpendicular from the tip of \vec{A} to the x-axis. You get a right triangle. The horizontal side is the x-component of \vec{A}, and the vertical side is the y-component.
From the right triangle, basic trigonometry gives you the components:
Step 1. The adjacent side of the triangle is the x-component.
Why: in a right triangle, \cos\theta = \text{adjacent}/\text{hypotenuse}. The adjacent side is A_x and the hypotenuse is |\vec{A}|. Multiply both sides by |\vec{A}|.
Step 2. The opposite side is the y-component.
Why: \sin\theta = \text{opposite}/\text{hypotenuse}. The opposite side is A_y.
Step 3. Write the vector using the unit vectors.
Why: the x-component is a number times the unit vector in the x-direction, and the y-component is a number times the unit vector in the y-direction. Adding them reconstructs the original vector. This is the component form — the standard way to write any 2D vector.
This is the central result. Once you have the components, the vector is just two numbers — one for each axis. All the geometry of arrows and angles gets converted into algebra with numbers, and algebra is something you can compute with.
Magnitude from components — Pythagoras does the work
You now know how to go from magnitude and angle to components. What about the reverse? If someone hands you A_x = 4 and A_y = 3, what is |\vec{A}|?
Look at the right triangle again. The vector \vec{A} is the hypotenuse. The two components are the legs. The Pythagorean theorem gives:
Step 1. Apply Pythagoras to the component triangle.
Why: in any right triangle, the square of the hypotenuse equals the sum of the squares of the other two sides. The hypotenuse here is |\vec{A}|, and the sides are A_x and A_y.
Step 2. Take the positive square root.
Why: magnitude is always a positive number (or zero). You take the positive root because a length cannot be negative.
Step 3. Find the direction angle.
Why: from the right triangle, \tan\theta = \text{opposite}/\text{adjacent} = A_y/A_x. Inverting gives the angle. Be careful with the quadrant — \tan^{-1} by itself gives angles only in the first and fourth quadrants, so check the signs of A_x and A_y to determine the correct quadrant.
These three equations — (1), (2), and (5) — let you convert freely between the two representations of a vector:
- Magnitude-angle form: |\vec{A}| and \theta
- Component form: A_x and A_y
Both carry the same information. The component form is almost always easier to compute with.
Worked examples
Example 1: Walking through a Delhi neighbourhood
A student walks 400 m due east from their house to a bookshop, then turns and walks 300 m due north to a chai stall. Find the magnitude and direction of the student's displacement from their house to the chai stall.
Step 1. Identify the components.
The student walked 400 m east and 300 m north. Taking east as the positive x-direction and north as the positive y-direction:
A_x = 400 m, \quad A_y = 300 m
Why: the eastward walk is entirely along the x-axis, so it contributes only to A_x. The northward walk is entirely along the y-axis, so it contributes only to A_y. No trigonometry needed here — the walks are already aligned with the axes.
Step 2. Compute the magnitude using Pythagoras.
Why: this is a 3-4-5 right triangle scaled by 100. The sides 300 and 400 give a hypotenuse of 500. The student is 500 m from their starting point in a straight line — even though they walked 700 m in total.
Step 3. Compute the direction.
Why: the angle is measured from the east (x) axis toward north (y). Both components are positive, so the angle is in the first quadrant — north of east.
Result: The displacement is 500 m at 37° north of east. In component form: \vec{A} = 400\hat{i} + 300\hat{j} m.
What this shows: The distance walked (700 m) and the displacement (500 m) are very different numbers. Distance is a scalar — it just adds up. Displacement is a vector — it cares about direction, and the 400 m east and 300 m north partially "cancel" each other's contribution to the total straight-line distance.
Example 2: Force on a cricket ball at an angle
A fielder throws a cricket ball with a force of 50 N at an angle of 37° above the horizontal. Find the horizontal and vertical components of this force.
Step 1. Write down the knowns.
|\vec{F}| = 50 N, \quad \theta = 37° above the horizontal.
Step 2. Compute the horizontal component.
Using \cos 37° \approx 0.8:
Why: the horizontal component is the "shadow" of the force vector on the x-axis. The cosine projects the full magnitude onto the adjacent (horizontal) direction.
Step 3. Compute the vertical component.
Using \sin 37° \approx 0.6:
Why: the vertical component is the "shadow" on the y-axis. The sine projects the magnitude onto the opposite (vertical) direction.
Step 4. Write the force in component form.
Step 5. Verify: does the magnitude check out?
Why: the components must reconstruct the original magnitude via Pythagoras. This is a quick sanity check — if it fails, you made an error in the decomposition.
Result: F_x = 40 N (horizontal), F_y = 30 N (vertical). The force in component form is \vec{F} = 40\hat{i} + 30\hat{j} N.
What this shows: Decomposition converts a single force at an angle into two perpendicular forces along the axes. This is the first step in almost every force problem in physics — break every force into components, then work with the components separately. The 37° angle appears constantly in Indian physics problems because it produces the clean ratio 3:4:5.
Common confusions
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"Speed and velocity are the same thing." They are not. Speed is a scalar — it tells you how fast you are moving. Velocity is a vector — it tells you how fast and in which direction. A car driving at 60 km/h in circles has a constant speed but a constantly changing velocity, because the direction keeps changing.
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"A vector can be negative." A vector itself is not positive or negative — those are properties of numbers, not arrows. What can be negative is a component of a vector. If A_x = -3, it means the x-component points in the negative x-direction (to the left). The vector still has a positive magnitude: |\vec{A}| is always \geq 0.
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"Magnitude can be negative." Never. Magnitude is a length — the length of the arrow. It is always zero or positive. The formula |\vec{A}| = \sqrt{A_x^2 + A_y^2} guarantees this, since squaring removes any negative signs and the square root is taken as positive.
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"The angle \theta completely determines the vector." The angle gives you the direction, but not the magnitude. Two vectors can point in the same direction (same \theta) but have very different magnitudes. You need both |\vec{A}| and \theta to specify a vector — or equivalently, both A_x and A_y.
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"Component form and magnitude-angle form are different vectors." They are the same vector written in two different ways, just as 0.5 and 1/2 are the same number in different notation. \vec{A} = 40\hat{i} + 30\hat{j} and "\vec{A} has magnitude 50 at angle 37°" describe the exact same arrow in the plane.
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"You always need \hat{k} even in 2D." In two-dimensional problems (which is most of class 11 mechanics), you only need \hat{i} and \hat{j}. The third unit vector \hat{k} appears when you work in three dimensions — and even then, many problems stay in the x-y plane.
Going deeper: three dimensions and direction cosines
If you are comfortable with 2D vectors and want to see the full 3D picture, read on. Otherwise, you have everything you need for most of class 11 physics.
Vectors in three dimensions
Everything you learned in 2D extends naturally. A vector in 3D has three components:
The magnitude uses all three:
This is the 3D version of Pythagoras. First, A_x and A_y give a diagonal in the x-y plane: \sqrt{A_x^2 + A_y^2}. Then that diagonal and A_z form another right triangle, giving the full magnitude as \sqrt{(\sqrt{A_x^2 + A_y^2})^2 + A_z^2} = \sqrt{A_x^2 + A_y^2 + A_z^2}.
For example, consider an ISRO rocket that, at a particular instant, has a velocity of \vec{v} = 200\hat{i} + 300\hat{j} + 600\hat{k} m/s (where \hat{k} points vertically upward). The speed is:
Direction cosines
In 2D, one angle \theta specifies the direction of a vector. In 3D, you need more information. The standard approach is direction cosines — the cosines of the angles the vector makes with each axis.
Define three angles:
- \alpha = angle between \vec{A} and the x-axis
- \beta = angle between \vec{A} and the y-axis
- \gamma = angle between \vec{A} and the z-axis
The direction cosines are:
These three numbers satisfy a remarkable identity:
Why: substitute the definitions. You get \frac{A_x^2 + A_y^2 + A_z^2}{|\vec{A}|^2}. But the numerator is |\vec{A}|^2 by the magnitude formula. So the fraction equals 1.
This identity is not just a curiosity — it is a constraint. You cannot choose the three direction cosines independently. If two of them are known, the third is determined (up to a sign). A vector's direction in 3D has two degrees of freedom, not three.
For the ISRO rocket example above, the direction cosines are:
Check: \left(\frac{2}{7}\right)^2 + \left(\frac{3}{7}\right)^2 + \left(\frac{6}{7}\right)^2 = \frac{4 + 9 + 36}{49} = \frac{49}{49} = 1. It works.
The unit vector in the direction of \vec{A} can be written using direction cosines:
This is just the definition of \hat{A} = \vec{A}/|\vec{A}| with each component divided by the magnitude. Direction cosines appear frequently in JEE Advanced problems on 3D geometry and electrostatics.
Where this leads next
- Vector Addition and Subtraction — how to add and subtract vectors using the triangle law, parallelogram law, and component method.
- Scalar (Dot) Product — multiplying two vectors to get a scalar. Used for work, projection, and checking perpendicularity.
- Vector (Cross) Product — multiplying two vectors to get a third vector. Used for torque, angular momentum, and magnetic force.
- Motion in a Plane — applying vectors to describe projectile motion and circular motion.
- Forces and Free Body Diagrams — decomposing forces into components is the foundation of every mechanics problem.