Created By : Naaz Fatima

Reviewed By : Rajashekhar Valipishetty

Last Updated : May 10, 2023


A vector is an object having both direction and magnitude. We have listed some of the Important Formulas for Vector on this page. The Cheat Sheet for Vectors covers concepts such as Graphical Method, Mathematical Method, Application of Vector in Physics. To know more about related topics we have mentioned the Physics Formulas here. Have a quick look at the Formulas Sheet of Vectors covering everything right from basic to advanced level.

List of Formulas for Vectors

Vector formulas img 1
Types Of Vector

  • Zero vector, \(|\overrightarrow{\mathrm{A}}|\) = 0
  • Proper vector, \(|\overrightarrow{\mathrm{A}}|\) Γëá 0
  • Like vector ΓåÆ same direction and same sense
  • Unlike vector ΓåÆ not same sense
  • Equal vector ΓåÆ same magnitude, same direction and same sense
  • Negative vector ΓåÆ same magnitude but opposite direction
  • Unit vector (vector of unit magnitude) ΓåÆ \(\hat{\mathrm{A}}=\frac{\overrightarrow{\mathrm{A}}}{|\overrightarrow{\mathrm{A}}|}\)

Note – \(\hat{i}, \hat{j} \text { and } \hat{k}\) are the unit vectors in the direction of x, y and z axis.

Representation Of Vector

\(\overrightarrow{\mathrm{A}}\) = \(A_{x} \hat{i}+A_{y} \hat{j}+A_{z} \hat{k}\)
Magnitude = \(|\vec{A}|=\sqrt{A_{x}^{2}+A_{y}^{2}+A_{z}^{2}}\)
Vector formulas img 2

Graphical method:
Vector formulas img 3
If \(\overrightarrow{\mathrm{A}}=\mathrm{A}_{\mathrm{x}} \hat{\mathrm{i}}+\mathrm{A}_{\mathrm{y}} \hat{\mathrm{j}}+\mathrm{A}_{\mathrm{z}} \hat{\mathrm{k}}\)
and \(\overrightarrow{\mathrm{B}}=\mathrm{B}_{\mathrm{x}} \hat{\mathrm{i}}+\mathrm{B}_{\mathrm{y}} \hat{\mathrm{j}}+\mathrm{B}_{\mathrm{z}} \hat{\mathrm{k}}\)
then \(\overrightarrow{\mathrm{R}}=\overrightarrow{\mathrm{A}}+\overrightarrow{\mathrm{B}}\) = (Ax + Bx)\(\hat{\mathrm{i}}\) + (Ay + By)\(\hat{\mathrm{j}}\) + (Az + Bz)\(\hat{\mathrm{k}}\)
R = \(|\vec{A}+\vec{B}|=\sqrt{\left(A_{x}+B_{x}\right)^{2}+\left(A_{y}+B_{y}\right)^{2}+\left(A_{z}+B_{z}\right)^{2}}\)
Note: More than two vector also can be added similar to the above method.

Mathematical method:
Vector formulas img 4
If \(|\overrightarrow{\mathrm{A}}|\) = A and \(|\overrightarrow{\mathrm{B}}|\) = B
θ → angle between \(\overrightarrow{\mathrm{A}} \text { and } \overrightarrow{\mathrm{B}}\)
then R = \(\sqrt{A^{2}+B^{2}+2 A B \cos \theta}\)
tan ╬▒ = \(\frac{B \sin \theta}{A+B \cos \theta}\)

Scalar Product

  • \(\overrightarrow{\mathrm{A}} \cdot \overrightarrow{\mathrm{B}}\) = AB cos ╬╕
  • \(\overrightarrow{\mathrm{A}} \cdot \overrightarrow{\mathrm{B}}=\overrightarrow{\mathrm{B}} \cdot \overrightarrow{\mathrm{A}}\)
  • \(\overrightarrow{\mathrm{A}} \cdot \overrightarrow{\mathrm{B}}\) = AxBx + AyBy + AzBz
  • \(\overrightarrow{\mathrm{A}} \cdot \overrightarrow{\mathrm{A}}\) = A2
  • \(\hat{i} \cdot \hat{i}=\hat{j} \cdot \hat{j}=\hat{k} \cdot \hat{k}=1\)
  • \(\overrightarrow{\mathrm{A}} \cdot \overrightarrow{\mathrm{B}}=0\)
  • \(\hat{i} \cdot \hat{i}=\hat{j} \cdot \hat{j}=\hat{k} \cdot \hat{i}=0\)

⊥ condition

Vector Product
Vector formulas img 5

  • \(\vec{A} \times \vec{B}\) = AB sin ╬╕ \(\hat{\mathrm{n}}\)
  • \(\overrightarrow{\mathrm{A}} \times \overrightarrow{\mathrm{B}}=-\overrightarrow{\mathrm{B}} \times \overrightarrow{\mathrm{A}}\)
  • \(\overrightarrow{\mathrm{A}} \times \overrightarrow{\mathrm{B}}\) = 0, || condition
  • \(\overrightarrow{\mathrm{A}} \times \overrightarrow{\mathrm{B}}=\left|\begin{array}{ccc}
    \hat{\mathrm{i}} & \hat{\mathrm{j}} & \hat{\mathrm{k}} \\
    \mathrm{A}_{\mathrm{x}} & \mathrm{A}_{\mathrm{y}} & \mathrm{A}_{\mathrm{z}} \\
    \mathrm{B}_{\mathrm{x}} & \mathrm{B}_{\mathrm{y}} & \mathrm{B}_{\mathrm{z}}
    \end{array}\right|\)
    = \(\hat{\mathrm{i}}\) (AyBz – AzBy) + \(\hat{\mathrm{j}}\) (AzBx – AxBz)+ \(\hat{\mathrm{k}}\) (AxBy – AyBy)
Vector formulas img 6
  • \(\hat{\mathrm{i}} \times \hat{\mathrm{i}}=\hat{\mathrm{j}} \times \hat{\mathrm{j}}=\hat{\mathrm{k}} \times \hat{\mathrm{k}}=0\)
  • \(\hat{\mathrm{i}} \times \hat{\mathrm{j}}=\hat{\mathrm{k}}, \hat{\mathrm{j}} \times \hat{\mathrm{k}}=\hat{\mathrm{i}}, \hat{\mathrm{k}} \times \hat{\mathrm{i}}=\hat{\mathrm{j}}\)

Direction Cosines

Direction cosines:
Vector formulas img 7
cos ╬▒, cos ╬▓ and cos ╬│ are called direction cosines in x direction, y direction and z direction respectively
cos a = \(\frac{A_{x}}{A}\), cos ╬▓ = \(\frac{A_{y}}{A}\) and cos ╬│ = \(\frac{A_{z}}{A}\) A A ‘A

  • cos2 ╬▒ + cos2 ╬▓ + cos2 ╬│ = 1
  • sin2 ╬▒ + sin2 ╬▓ + sin2 ╬│ = 2

Application Of Vector In Physics
Vector formulas img 8
(1) Position vector (\(\vec{r}\)) of point w.r.t. origin (x, y, z): – \(\vec{r}\) = \(x \hat{i}+y \hat{j}+z \hat{k}\)

(2) Displacement vector \(\left(\overrightarrow{\mathrm{r}}_{\mathrm{AB}}\right)\) from point A (x1, y1, z1) to B (x2, y2, z2) \(\overrightarrow{\mathrm{r}}_{\mathrm{AB}}=\overrightarrow{\mathrm{r}}_{\mathrm{B}}-\overrightarrow{\mathrm{r}}_{\mathrm{A}}\) = (x2 – x1)\(\hat{\mathrm{i}}\) + (y2 – y1 )\(\hat{\mathrm{j}}\) + (z2 – z1)\(\hat{\mathrm{k}}\)

(3) Relative velocity: \(\overrightarrow{\mathrm{V}}_{\mathrm{AB}}=\overrightarrow{\mathrm{V}}_{\mathrm{B}}-\overrightarrow{\mathrm{V}}_{\mathrm{A}}\)
Example of dot product
Work: W = \(\overrightarrow{\mathrm{F}} \cdot \overrightarrow{\mathrm{r}}\), Power P = \(\overrightarrow{\mathrm{F}} \cdot \overrightarrow{\mathrm{v}}\)
ΦE = \(\overrightarrow{\mathrm{E}} \cdot \overrightarrow{\mathrm{A}}\), ΦB = \(\overrightarrow{\mathrm{B}} \cdot \overrightarrow{\mathrm{A}}\)
Example of cross product
\(\overrightarrow{\mathrm{v}}=\vec{\omega} \times \overrightarrow{\mathrm{v}}, \overrightarrow{\mathrm{L}}=\overrightarrow{\mathrm{r}} \times \overrightarrow{\mathrm{P}}, \quad \vec{\tau}=\overrightarrow{\mathrm{r}} \times \overrightarrow{\mathrm{F}},\) \(\overrightarrow{\mathrm{F}}=\mathrm{q}(\overrightarrow{\mathrm{v}} \times \overrightarrow{\mathrm{B}})\)

  • \(\overrightarrow{\mathrm{v}}=\mathrm{d} \overrightarrow{\mathrm{r}} / \mathrm{dt}, \overrightarrow{\mathrm{a}}=\mathrm{d} \overrightarrow{\mathrm{v}} / \mathrm{dt}\)
  • Lorentz force: \(\overrightarrow{\mathrm{F}}=\mathrm{q}(\overrightarrow{\mathrm{E}}+\overrightarrow{\mathrm{v}} \times \overrightarrow{\mathrm{B}})\)
  • Area of a triangle: \(\frac{1}{2}|\overrightarrow{\mathrm{A}} \times \overrightarrow{\mathrm{B}}|\)
  • Area of a parallelogram: \(|\overrightarrow{\mathrm{A}} \times \overrightarrow{\mathrm{B}}|\)
  • Volume of a parallelepiped: \(\overrightarrow{\mathrm{A}} \cdot(\overrightarrow{\mathrm{B}} \times \overrightarrow{\mathrm{C}})\)
  • Gradient operator: Γêç = \(\hat{\mathrm{i}} \frac{\partial}{\partial \mathrm{x}}+\hat{\mathrm{j}} \frac{\partial}{\partial \mathrm{y}}+\hat{\mathrm{k}} \frac{\partial}{\partial \mathrm{z}}\) Ex. \(\overrightarrow{\mathrm{E}}\) = -Γêç╬ª

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