RS Aggarwal Class 12 Scalar or Dot product of Vectors PDF

RS Aggarwal Class 12 Scalar or Dot product of Vectors PDF

Welcome to Here we have provided RS Aggarwal Class 12 Scalar or Dot product of Vectors PDF which you can download very easily. Rs Aggarwal is a mathematics book based on NCERT with lots of questions to practice. If you have cleared your concept from NCERT maths book class 12 then now it’s time for you to go for the question of RS Aggarwal Class 12 Scalar or Dot product of Vectors PDF.

What is Scalar or Dot product of Vectors?

The scalar or dot product of two vectors is a scalar value that represents the magnitude of the projection of one vector onto the other. It is calculated by taking the sum of the products of the corresponding elements of the two vectors. For example, if vectors A and B have elements (a1, a2, a3) and (b1, b2, b3) respectively, the dot product is (a1b1 + a2b2 + a3*b3). The dot product can also be represented using the notation A•B = |A| |B| cos(θ) where θ is the angle between the two vectors.


RS Aggarwal Class 12 (All Chapters PDF)

Chapter no.chapter namepdf
3Binary OperationsDownload
4Inverse Trigonometric FunctionsDownload
7Adjoint and Inverse Of MatrixDownload
8System of Linear EquationsDownload
9Continuity and DifferentiabilityDownload
11Applications of DerivativesDownload
12Indefinite IntegralsDownload
13Methods of integrationDownload
14Some Special integralsDownload
15Integration using Partial FunctionsDownload
16Definite integralsDownload
17Area of Bounded RegionsDownload
18Differential equations and their formationsDownload
19Differential equations with variable separableDownload
20Homogeneous Integral equationsDownload
21Linear Differential equationsDownload
22Vectors And Their PropertiesDownload
23Scalar, or Dot product of VectorsDownload
24Cross or vector products of VectorDownload
25Product of three vectorsDownload
26Fundamental Concepts of 3D GeometryDownload
27Straight Line in SpaceDownload
28The PlaneDownload
30Bayes’s Theorem and its ApplicationsDownload
31Probability DistributionDownload
32Binomial DistributionsDownload
33Linear ProgrammingDownload

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