Vector Algebra

IMPORTANT

Mathematics Solutions from Chapter -1 - Vector Algebra

This chapter covers topics such as Linearly Dependent and Independent Vectors, Scalar and Vector Triple Products, Dot Product of Two Vectors, Basics of Vectors, Addition of Vectors, Geometrical Application of Vectors, etc.

Practice Other Topics from Vector Algebra

This topic covers concepts such as Vector, Vector and Scalar Quantities, Representations of a Vector, Magnitude and Direction of a Vector, Direction Cosines and Direction Ratios of a Vector, Types of Vectors, Zero Vector, etc.

This topic covers concepts such as Addition and Subtraction of Vectors, Addition of Vectors, Triangle Law for Addition of Two Vectors, Parallelogram Law for Addition of Two Vectors, Polygon Law for Addition of More than Two Vectors, etc.

Mathematics>Vectors and 3D Geometry>Vector Algebra>Geometrical Application of Vectors

This topic covers concepts such as Position Vector, Vector Joining Two Points in 3D Space, and Section Formula in 3D: Vector Form.

This topic covers concepts such as Angle between the Two Vectors, Dot Product of Two Vectors, Magnitude of Dot Product of Two Vectors, Properties of Dot Product of Two Vectors, Geometrical Interpretation of Scalar Product, etc.

This topic covers concepts such as Cross Product of Two Vectors, Magnitude and Direction of Cross Product of Two Vectors, Properties of Cross Product of Two Vectors, Geometrical Interpretation of Cross Product, etc.

Mathematics>Vectors and 3D Geometry>Vector Algebra>Scalar and Vector Triple Products

This topic covers concepts such as Scalar Triple Product, Magnitude of Scalar Triple Product of Three Vectors, Geometrical Interpretation of Scalar Triple Product, Volume of a Parallelepiped with Given Concurrent Edges, etc.

Mathematics>Vectors and 3D Geometry>Vector Algebra>Linearly Dependent and Independent Vectors

This topic covers concepts such as Linear Combination of Vectors, Fundamental Theorem in Plane, Fundamental Theorem in Space, Linear Independent and Dependent Vectors, Condition for Linear Independence of Vectors, and Solving Vector Equations.