8.2 Coordinate Operations of Vectors
Key Takeaways
In an orthonormal coordinate system with standard basis , any vector is uniquely identified by the ordered pair .
Vector addition, subtraction, and scalar multiplication correspond to component-wise algebraic operations: and .
The coordinate criterion for vector parallelism (collinearity) is , derived from cross-multiplying proportional components.
Directed line segment from to has coordinates , with magnitude .
The section formula locates point dividing segment in ratio () at , specializing to the midpoint formula when .
8.2 Coordinate Operations of Vectors
Coordinate operations translate geometric vector concepts into algebraic manipulations. By choosing an orthogonal coordinate system, plane vector operations reduce to arithmetic on component pairs, transforming complex geometric proofs into linear algebraic computations.
1. Cartesian Coordinate System and Vector Coordinates
1.1 Orthonormal Basis
In a Cartesian coordinate system , let and denote the unit vectors along the positive -axis and positive -axis, respectively:
- , , and .
- The set forms a standard orthonormal basis for the plane.
1.2 Vector Coordinate Representation
By the Fundamental Theorem of Plane Vectors, any vector in the plane can be uniquely expressed as:
The ordered pair of real numbers is called the coordinate representation of vector , written as .
- is the -component (horizontal projection).
- is the -component (vertical projection).
- The origin position vector corresponding to point has coordinates .
1.3 Segment Vector Coordinates
Given initial point and terminal point , the vector is computed as terminal point coordinates minus initial point coordinates:
Vector Magnitude in Coordinates
The magnitude of vector is given by the Pythagorean formula:
For directed segment with endpoints and :
2. Algebraic Operations in Coordinate Form
Let , , and scalar .
| Operation | Geometric Concept | Coordinate Formula |
|---|---|---|
| Addition | ||
| Subtraction | ||
| Scalar Multiplication | ||
| Linear Combination |
3. Coordinate Criterion for Parallel (Collinear) Vectors
Theorem (Coordinate Parallelism Criterion): Let and . The vectors and are parallel () if and only if:
Derivation:
- If , then holds trivially, and is true.
- If , then such that .
- In coordinates: and .
- Eliminating :
Memory Trick (Cross Multiplication): Multiply the outer components and inner components: .
4. Division of Line Segments and Centroid Formulas
4.1 Section Formula (Internal/External Division)
Let points and define a segment. If point divides the directed segment such that ():
- If , is an internal division point.
- If or , is an external division point.
4.2 Midpoint Formula
When , is the midpoint of :
In vector form: .
4.3 Centroid Formula of a Triangle
For with vertices , , , the centroid satisfies:
Vector characteristic equation of centroid :
5. Worked Gaokao Exam Examples
Worked Example 1: Parallel Vectors and Parameters
Problem: Given vectors and where .
- Find the value(s) of such that .
- For each such , determine whether and have the same or opposite direction.
Solution:
- Apply the coordinate parallelism criterion :
- Factor the quadratic equation:
- Case 1:
- and .
- Here , so . Vectors and are codirectional (same direction).
- Case 2:
- and .
- Here , so . Vectors and are antidirectional (opposite direction).
Given vectors and . If , what is the value of scalar ?
Points and are given in a Cartesian plane. Point lies on segment such that . What are the coordinates of point ?
Given vectors and , compute the coordinate representation of vector .
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