Skip to content
geeksforgeeks
  • Tutorials
    • Python
    • Java
    • Data Structures & Algorithms
    • ML & Data Science
    • Interview Corner
    • Programming Languages
    • Web Development
    • CS Subjects
    • DevOps And Linux
    • School Learning
    • Practice Coding Problems
  • Courses
    • DSA to Development
    • Get IBM Certification
    • Newly Launched!
      • Master Django Framework
      • Become AWS Certified
    • For Working Professionals
      • Interview 101: DSA & System Design
      • Data Science Training Program
      • JAVA Backend Development (Live)
      • DevOps Engineering (LIVE)
      • Data Structures & Algorithms in Python
    • For Students
      • Placement Preparation Course
      • Data Science (Live)
      • Data Structure & Algorithm-Self Paced (C++/JAVA)
      • Master Competitive Programming (Live)
      • Full Stack Development with React & Node JS (Live)
    • Full Stack Development
    • Data Science Program
    • All Courses
  • Number System and Arithmetic
  • Algebra
  • Set Theory
  • Probability
  • Statistics
  • Geometry
  • Calculus
  • Logarithms
  • Mensuration
  • Matrices
  • Trigonometry
  • Mathematics
Open In App
Next Article:
Collinear Vectors
Next article icon

Collinear Vectors

Last Updated : 30 May, 2024
Comments
Improve
Suggest changes
Like Article
Like
Report

Vectors are also called Euclidean vectors or Spatial vectors, and they have many applications in mathematics, physics, engineering, and various other fields. There are different types of vectors, including zero vectors (which have 0 magnitude and no direction), unit vectors (which have a magnitude of 1), position vectors, co-initial vectors, like and unlike vectors, co-planar vectors, collinear vectors, equal vectors, displacement vectors, and negative vectors.

In this article, we will discuss collinear vectors and the criteria according to which two vectors are said to be collinear in detail.

Collinear-Vector


Table of Content

  • What are Vectors?
  • What are Collinear Vectors?
  • Conditions for collinearity of vectors
  • Collinear Vs Parallel Vectors
  • Solved Examples
  • Practice Problems
  • FAQs: Collinear Vectors

What are Vectors?

A vector is a mathematical entity that has both magnitude (amount of movement) and direction. It is used to represent physical quantities like distance, velocity, acceleration, force, and more. Vectors are geometric entities that can be represented by a line with an arrow pointing towards its direction, and its length represents the magnitude of the vector.

There are many types of vectors based on various different properties, such as:

  • Unit Vector
  • Orthogonal Vector
  • Parallel Vector
  • Anti-parallel Vector
  • Zero Vectors
  • Negative of a Vector
  • Equal Vectors
  • Collinear Vectors
  • Coplanar Vectors
  • Position Vectors
  • Displacement Vectors
  • Localized Vectors
  • Non-localized Vectors
  • Co-initial Vectors
  • Like and Unlike Vectors

In this article, we will be discussing the concept of "Collinear Vectors" in detail.

What are Collinear Vectors?

Collinear vectors are vectors that lie along the same line or are parallel to the same line, regardless of their magnitude or direction. This implies that one vector can be expressed as a scalar multiple of the other.

In simpler terms, if you have two vectors, a and b, they are collinear if there exists a scalar k such that a = kb.

The concept of collinearity is important in various mathematical and physical contexts. For instance, in geometry, it helps determine if points are aligned in a straight line. In physics, collinear vectors helps us analyze forces and motion, as it helps simplify problems where multiple forces are acting along the same line.

Visual Representation of Collinear Vectors

Visual representation of collinear vectors can be quite straightforward and intuitive. Imagine plotting vectors on a graph. If vectors are collinear, they would appear as arrows that lie either on the same straight line or parallel to same straight line, whether they point in the same direction or in opposite directions.

Collinear-Vectors

Conditions for Collinearity of Vectors

We have learnt that two or more vectors that point in same or opposite directions and parallel to each other are called collinear vectors.

In mathematics, we have certain conditions that must be satisfied by two or more vectors to be considered collinear. Consider two vectors \overrightarrow{A} and \overrightarrow{B} .The conditions for collinearity of vectors are as follows:

Condition 1: If \overrightarrow{A} = n \overrightarrow{B}, where n is any scalar then vectors A and B are said to be collinear.

Condition 2: If the ratio of the corresponding coordinates of two vectors are equal, then they are said to be collinear. This condition is not applicable if any one of the coordinates of any vector is zero. Consider \overrightarrow{A} = a\hat{i}+b\hat{j}+c\hat{k} and \overrightarrow{B} = p\hat{i}+q\hat{j}+r\hat{k} , then they are said to be collinear if:

\bold{\frac{a}{p}=\frac{b}{q}=\frac{c}{r}} OR \bold{\frac{p}{a}=\frac{q}{b}=\frac{r}{c}}

Condition 3: Two vectors are said to be collinear if their cross product is zero i.e. \overrightarrow{A} \times \overrightarrow{B} = 0.

Read More about Collinear Points.

Collinear Vs Parallel Vectors

Parallel vectors are specific case of collinear vectors. Some other differences between collinear vectors and parallel vectors are listed in the following table:

FeatureCollinear VectorsParallel Vectors
DefinitionVectors that lie along the same lineVectors that have the same or opposite direction
DirectionMay have the same or opposite directionAlways have the same or exactly opposite direction
Mathematical Relationu =kv for some scalar k.u = kv for some scalar k, k > 0 for same direction, k < 0 for opposite
Exampleu = (1,2), and v = (2,4)u =(3, 3), v =(−6,−6) (opposite direction)
Geometric InterpretationVectors that can be scaled to overlap when plotted from a common pointVectors that are either exactly aligned or directly opposite when plotted from a common point

Read More,

  • Types of Vectors
  • Scalars and Vectors
  • Dot and Cross Products on Vectors
  • Vector Operations

Solved Examples on Collinear Vectors

Question 1: Determine if \overrightarrow{a} = \{1,5\}, \overrightarrow{b} = \{3,15\} are collinear to each other?

Solution:

Given \overrightarrow{a} = \{1,5\}, \overrightarrow{b} = \{3,15\}

As 3\{1,5\} = \{3,15\},

\overrightarrow{a} = 3\overrightarrow{b}

Thus a and b are collinear to each other.

Question 2: Are \overrightarrow{a} = \{1,2\}, \overrightarrow{b} = \{3,6\}, \overrightarrow{c} = \{4,5\} collinear or not?

Solution:

Given \overrightarrow{a} = \{1,2\}, \overrightarrow{b} = \{3,6\}, \overrightarrow{c} = \{4,5\}

As \frac{1}{3} = \frac{2}{6}, \overrightarrow{a} is collinear to \overrightarrow{b}.

Now \frac{3}{4} = \frac{6}{5}, \overrightarrow{b} is not collinear to \overrightarrow{c} and in turn \overrightarrow{c} is not collinear to \overrightarrow{a}.

Question 3: Check using cross product if \overrightarrow{p} = 2\hat{i}+3\hat{j}+4\hat{k} and \overrightarrow{q} = 8\hat{i}+3\hat{j}+1\hat{k} are collinear?

Solution:

Given \overrightarrow{p} = 2\hat{i}+3\hat{j}+4\hat{k} and \overrightarrow{q} = 8\hat{i}+3\hat{j}+1\hat{k}

\overrightarrow{p} \times \overrightarrow{q} = \begin{vmatrix} \hat{i} &amp;amp; \hat{j} &amp;amp; \hat{k}\\ 2 &amp;amp; 3 &amp;amp; 4\\ 8 &amp;amp; 3 &amp;amp; 1 \end{vmatrix}\\ = \hat{i}(3-12)-\hat{j}(2-32)+\hat{k}(6-24)\\ = -9\hat{i} +30\hat{j}-18\hat{k} \ne \overrightarrow0

Thus, given vectors are not collinear.

Question 4: Are \overrightarrow{p} = 4\hat{i}+1\hat{j}+0\hat{k} and \overrightarrow{t} = 1\hat{i}+8\hat{j}+9\hat{k} collinear or not?

Solution:

Given, \overrightarrow{p} = 4\hat{i}+1\hat{j}+0\hat{k} and \overrightarrow{t} = 1\hat{i}+8\hat{j}+9\hat{k}

As one of the vectors contain a zero coordinate, the two vectors are not collinear to each other.

Question 5: Check using cross product if \overrightarrow{p} = 7\hat{i}+4\hat{j}+8\hat{k} and \overrightarrow{q} = 3\hat{i}+9\hat{j}+3\hat{k} are collinear?

Solution:

Given \overrightarrow{p} = 7\hat{i}+4\hat{j}+8\hat{k} and \overrightarrow{q} = 3\hat{i}+9\hat{j}+3\hat{k}

\overrightarrow{p} \times \overrightarrow{q} = \begin{vmatrix} \hat{i} &amp;amp; \hat{j} &amp;amp; \hat{k}\\ 7 &amp;amp; 4 &amp;amp; 8\\ 3 &amp;amp; 9 &amp;amp; 3 \end{vmatrix}\\ = \hat{i}(12-72)-\hat{j}(21-24)+\hat{k}(63-12)\\ = -60\hat{i} +3\hat{j}+51\hat{k} \ne\overrightarrow0

Thus, given vectors are not collinear.

Practice Problems on Collinear Vectors

Problem 1: Determine if \overrightarrow{a} = \{1,8\}, \overrightarrow{b} = \{2,9\} are collinear to each other?

Problem 2: Are \overrightarrow{a} = \{8,6\}, \overrightarrow{b} = \{9,4\}, \overrightarrow{c} = \{4,5\} collinear or not?

Problem 3: Check using cross product if \overrightarrow{p} =1\hat{i}+5\hat{j}+8\hat{k} and \overrightarrow{q} = 3\hat{i}+8\hat{j}+3\hat{k} are collinear?

Problem 4: Check using cross product if \overrightarrow{p} = 2\hat{i}+1\hat{j}+5\hat{k} and \overrightarrow{q} = 9\hat{i}+0\hat{j}+1\hat{k} are collinear?

Problem 5: Are \overrightarrow{p} = 12\hat{i}+8\hat{j}+5\hat{k} and \overrightarrow{t} = 19\hat{i}+6\hat{j}+4\hat{k} collinear or not?


Next Article
Collinear Vectors

M

mohitg593
Improve
Article Tags :
  • Mathematics
  • School Learning
  • Class 12
  • Maths-Class-12
  • Vector-Calculus

Similar Reads

    Co-Initial Vectors
    "Co-initial vectors" typically refers to vectors that share the same initial point or starting point in a vector space. In other words, if you have multiple vectors and they all begin at the same point or have the same starting position, they are said to be co-initial. In mathematics, vectors are of
    7 min read
    Collinear Points
    Collinear Points are sets of three or more than three points that lie in a straight line. In simple words, if three or more points are collinear, they can be connected with a straight line without any change in slope.In this article, we will discuss the concept of collinear points, collinear point d
    10 min read
    Vectors in Maths
    In mathematics, vectors are fundamental objects that represent quantities with both magnitude and direction. They are widely used in various branches of mathematics, physics, engineering, computer science, and other disciplines.Key Features of Vectors:1. Magnitude: The size or length of the vector.
    8 min read
    Equal Vectors
    Equal Vectors have equal length and the same Unit Vector. Two Vectors are said to be equal when they have the same magnitude and when they are acting in the same direction. Equal Vectors play an important role in Mathematics and Physics; they are used for simplifying complex problems, shifting coord
    11 min read
    Resolution of Vectors
    Vector Resolution is splitting a vector into its components along different coordinate axes. When a vector is expressed in terms of its components, it becomes easier to analyze its effects in different directions. This process is particularly useful when dealing with vector quantities such as forces
    8 min read
geeksforgeeks-footer-logo
Corporate & Communications Address:
A-143, 7th Floor, Sovereign Corporate Tower, Sector- 136, Noida, Uttar Pradesh (201305)
Registered Address:
K 061, Tower K, Gulshan Vivante Apartment, Sector 137, Noida, Gautam Buddh Nagar, Uttar Pradesh, 201305
GFG App on Play Store GFG App on App Store
Advertise with us
  • Company
  • About Us
  • Legal
  • Privacy Policy
  • In Media
  • Contact Us
  • Advertise with us
  • GFG Corporate Solution
  • Placement Training Program
  • Languages
  • Python
  • Java
  • C++
  • PHP
  • GoLang
  • SQL
  • R Language
  • Android Tutorial
  • Tutorials Archive
  • DSA
  • Data Structures
  • Algorithms
  • DSA for Beginners
  • Basic DSA Problems
  • DSA Roadmap
  • Top 100 DSA Interview Problems
  • DSA Roadmap by Sandeep Jain
  • All Cheat Sheets
  • Data Science & ML
  • Data Science With Python
  • Data Science For Beginner
  • Machine Learning
  • ML Maths
  • Data Visualisation
  • Pandas
  • NumPy
  • NLP
  • Deep Learning
  • Web Technologies
  • HTML
  • CSS
  • JavaScript
  • TypeScript
  • ReactJS
  • NextJS
  • Bootstrap
  • Web Design
  • Python Tutorial
  • Python Programming Examples
  • Python Projects
  • Python Tkinter
  • Python Web Scraping
  • OpenCV Tutorial
  • Python Interview Question
  • Django
  • Computer Science
  • Operating Systems
  • Computer Network
  • Database Management System
  • Software Engineering
  • Digital Logic Design
  • Engineering Maths
  • Software Development
  • Software Testing
  • DevOps
  • Git
  • Linux
  • AWS
  • Docker
  • Kubernetes
  • Azure
  • GCP
  • DevOps Roadmap
  • System Design
  • High Level Design
  • Low Level Design
  • UML Diagrams
  • Interview Guide
  • Design Patterns
  • OOAD
  • System Design Bootcamp
  • Interview Questions
  • Inteview Preparation
  • Competitive Programming
  • Top DS or Algo for CP
  • Company-Wise Recruitment Process
  • Company-Wise Preparation
  • Aptitude Preparation
  • Puzzles
  • School Subjects
  • Mathematics
  • Physics
  • Chemistry
  • Biology
  • Social Science
  • English Grammar
  • Commerce
  • World GK
  • GeeksforGeeks Videos
  • DSA
  • Python
  • Java
  • C++
  • Web Development
  • Data Science
  • CS Subjects
@GeeksforGeeks, Sanchhaya Education Private Limited, All rights reserved
We use cookies to ensure you have the best browsing experience on our website. By using our site, you acknowledge that you have read and understood our Cookie Policy & Privacy Policy
Lightbox
Improvement
Suggest Changes
Help us improve. Share your suggestions to enhance the article. Contribute your expertise and make a difference in the GeeksforGeeks portal.
geeksforgeeks-suggest-icon
Create Improvement
Enhance the article with your expertise. Contribute to the GeeksforGeeks community and help create better learning resources for all.
geeksforgeeks-improvement-icon
Suggest Changes
min 4 words, max Words Limit:1000

Thank You!

Your suggestions are valuable to us.

What kind of Experience do you want to share?

Interview Experiences
Admission Experiences
Career Journeys
Work Experiences
Campus Experiences
Competitive Exam Experiences