Vector Space: Overview, Questions, Preparation

Vector Algebra 2021 ( Vector Algebra )

Rachit Kumar Saxena

Rachit Kumar SaxenaManager-Editorial

Updated on Jun 30, 2021 01:58 IST

What is Vector space?

Vectors are physical quantities that have magnitude as well as direction. These vectors’ magnitudes are known as scalars, which have no classified direction and can be summed up or removed just as dealt with by generic mathematical equations.

A space composed of vectors, collectively with the associative and commutative law of the addition of vectors and the associative and distributive process of multiplication of vectors by scalars, is called vector space.

The basic properties of the vector space are:

  • The addition operation of a finite list of vectors v1 v2, . . , vk can be calculated in any order, then the solution of the addition process will be the same.
  • If x + y = 0, then the value should be y = −x.
  • The negative value of 0 is 0. This means that the value of −0 = 0.
  • The negation or negative value of a vector’s negation’s negative value is the vector itself: −(−v) = v.
  • If x + y = x, if and only if y = 0. Therefore, 0 is the only vector that behaves like 0.
  • The product of any vector with zero times gives the zero vector. 0 x y = 0 for every vector in y.
  • For every real number c, any scalar times the zero vector is the zero vector. c0 = 0
  • If the value cx= 0, then either c = 0 or x = 0. The product of a scalar and a vector is equal to zero when either a scalar is 0, or a vector is 0.
  • The scalar value −1 times a vector is the vector’s negation: (−1)x = −x. We define subtraction in terms of addition by defining x − y as an abbreviation for x + (−y).

Weightage of Vector Space

This topic is taught in detail in 12th Standard Mathematics and constitutes on an average 14 marks in the board examination, often integrated with 3-D geometry. Apart from this, it finds massive application in higher Mathematics and Physics problems. All of the higher subjects are founded on the basic principles taught about vectors.

Illustrated examples on Vector Space

1. Classify the following measures as scalars and vectors.

(i) 10 kg                    (ii) 2 meters north-west                            (iii) 40° 
(iv) 40 watt               (v) 10–19 coulomb                                     (vi) 20 m/s2
Solution.
(i) Scalar               (ii) Vector            (iii) Vector
(iv) Scalar              (v) Vector           (vi) Vector

2. Classify the following as scalar and vector quantities.
(i) time period     (ii) distance     (iii) force      (iv) velocity      (v) work done
Solution.
(i) Vector    (ii) Scalar    (iii) Vector    (iv) Vector     (v) Scalar

3. Answer the following as true or false.
(i) a and –a are collinear.
(ii) Two collinear vectors are always equal in magnitude.
(iii) Two vectors having the same magnitude are collinear.
(iv) Two collinear vectors having the same magnitude are equal.
Solution
(i) True
(ii) False
(iii) False
(iv) False

FAQs on Vector Space

Q: What is the definition of a vector?

A: A physical quantity having direction as well as magnitude, especially as determining the position of one point in space relative to another, is termed as a vector.

Q: What is a unit vector?

A: A vector whose magnitude is unity (i.e., 1 unit) is called a unit vector. The unit vector in the direction of a given vector is denoted by aˆ.

Q: What is a zero vector?

A: A vector whose initial and terminal points coincide is called a zero vector (or null vector), and denoted as 0^-. A zero vector has no direction.

Q: How do you differentiate scalars and vectors?

A: Scalars are meant to have no direction and abide by the generic rules of mathematical operations similar to algebraic principles. On the other hand, Vectors have magnitude as well as direction and have their own set of rules and laws.

Q: How are vectors and vector space different?

A: Vectors differ from vector space by only being a component of it. A vector space comprises the whole vector along with its direction and may include other vectors as well. 

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