Collinear Vectors
Definition
A definition is a precise description of what a concept, a term, or an object means. Understanding definitions is the foundation of learning any field, and every concept has its own exact meaning.
Two vectors are collinear if, after being freely translated, they lie on the same straight line, with their directions either exactly the same or exactly opposite.
Points to Note
- The zero vector is collinear with every vector, because the direction of the zero vector is arbitrary and it can be translated anywhere
- Collinear vectors do not require their starting or ending points to coincide; it is enough that they can be translated onto the same straight line
Mathematical formula
A formula is a symbolic expression of quantitative relations and structural patterns, and an essential tool for solving mathematical problems. Key formulas should be mastered and applied flexibly.
Two vectors are collinear if and only if there exist real numbers , not both zero, such that:
Symbol notation
| Symbol | Type | Pronunciation/Explanation | Meaning in This Article |
|---|---|---|---|
| Real numbers | Real numbers | The coefficients of the linear combination |
How to read the formula:
- “not both zero” means that and cannot both be
- if , this can be rearranged as (putting )
- that is, collinear vectors can be written in the scalar-multiple form:
- The scalar-multiple method: check whether there is a real number with
- The linear-combination method: check whether there exist not both zero with
- The coordinate method: compute the ratio between the components of the vectors
A positive example: collinear vectors
Example 1: decide whether the vectors and are collinear.
Solution:
- The scalar-multiple relation: , so
- The linear combination:
- The ratio of the coordinates: the -component ratio is and the -component ratio is ; the ratios are equal
Conclusion
The vectors and are collinear, and (the same direction).
A negative example: non-collinear vectors
Example 2: decide whether the vectors and are collinear.
Solution:
- The ratio of the coordinates: the -component ratio is and the -component ratio is ; the ratios differ
- The linear combination: suppose
- the system: ,
- solving gives , (the only solution is the zero one)
Conclusion
The vectors and are not collinear, because there are no nonzero real numbers making the linear combination the zero vector.
The special case: the zero vector
Example 3: decide whether the zero vector and the vector are collinear.
Solution:
- The linear combination:
- The coefficients are not both zero
Conclusion
The zero vector is collinear with every vector, because the direction of the zero vector is arbitrary.
Applications in spatial geometry
- Equations of lines in space: a line through two points in space can be described by using collinear vectors to represent the position vector of any point on the line
- Testing linear combinations: collinearity of vectors is the foundation for studying linear dependence
- Geometric transformations: collinear vectors play an important role in transformations such as translation and scaling
A reminder of common misconceptions
Points to Note
- Collinear ≠ coincident: a vector can be translated, and collinearity does not require the starting or ending points to coincide
- The relation of direction: the sign of the real number determines the direction of collinear vectors
- : the same direction
- : the opposite direction
- : one of the vectors is the zero vector
Exercise 1
Decide whether the vectors and are collinear.
Approach:
Use the ratio of the coordinates or the linear-combination method to decide whether the vectors are collinear.
Steps:
-
Compute the ratio of the coordinates:
- the -component ratio:
- the -component ratio:
- the ratios are equal (both are -2)
-
Or use the linear combination: Suppose The system: , Solving gives (the only solution is the zero one)
Answer: The vectors and are collinear, and (opposite directions).
Symbols Used in This Article
| Symbol | Type | Pronunciation/Explanation | Meaning in This Article |
|---|---|---|---|
| Vector | Vector a, b | General vectors | |
| Zero vector | Zero vector | The vector whose components are all zero | |
| Real numbers | Real numbers | The coefficients of the linear combination | |
| Real number | Lambda | The scalar multiplier |
