Collinear Vectors - OnlineMSchool
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- Collinear vectors - definition
- Condition of vectors collinearity
- Examples of tasks
- plane tasks
- spatial tasks
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Condition of vectors collinearity
Two vectors are collinear, if any of these conditions done:
Condition of vectors collinearity 1. Two vectors a and b are collinear if there exists a number n such thata = n · b
Condition of vectors collinearity 2. Two vectors are collinear if relations of their coordinates are equal.N.B. Condition 2 is not valid if one of the components of the vector is zero.
Condition of vectors collinearity 3. Two vectors are collinear if their cross product is equal to the zero vector.N.B. Condition 3 applies only to three-dimensional (spatial) problems.
The proof of the condition of collinearity 3
Let there are two collinear vectors a = {ax; ay; az} and b = {nax; nay; naz}. We find their cross product
| a × b = | i | j | k | = i (aybz - azby) - j (axbz - azbx) + k (axby - aybx) = |
| ax | ay | az | ||
| bx | by | bz |
Examples of tasks
Examples of plane tasks
Example 1. Which of the vectors a = {1; 2}, b = {4; 8}, c = {5; 9} are collinear?Solution: Since the vectors does not contain a components equal to zero, then use the condition of collinearity 2, which in the case of the plane problem for vectors a and b will view:
| ax | = | ay | . |
| bx | by |
Means:
| Vectors a and b are collinear because | 1 | = | 2 | . |
| 4 | 8 |
| Vectors a and с are not collinear because | 1 | ≠ | 2 | . |
| 5 | 9 |
| Vectors с and b are not collinear because | 5 | ≠ | 9 | . |
| 4 | 8 |
Solution: Since the vector components contain zero, then use the condition of collinearity 1, we find there is a number n for which:
b = na.For this we find a nonzero component of vector a in this case this is ay. If the vectors are collinear then
| n = | by | = | 6 | = 2 |
| ay | 3 |
Calculate the value of na:
na = {2 · 0; 2 · 3} = {0; 6}Since b = 2a, the vectors a and b are collinear.
Example 3. Find the value of n at which the vectors a = {3; 2} and b = {9; n} are collinear.Solution: Since the vectors does not contain a components equal to zero, then use the condition of collinearity 2
| ax | = | ay | . |
| bx | by |
Means:
| 3 | = | 2 | . |
| 9 | n |
Solve this equation:
| n = | 2 · 9 | = 6 |
| 3 |
Answer: vectors a and b are collinear when n = 6.
Examples of spatial tasks
Example 4. Which of the vectors a = {1; 2; 3}, b = {4; 8; 12}, c = {5; 10; 12} are collinear?Solution: Since the vectors does not contain a components equal to zero, then use the condition of collinearity 2, which in the case of the plane problem for vectors a and b will view:
| ax | = | ay | = | az | . |
| bx | by | bz |
Means:
| Vectors a and b are collinear because | 1 | = | 2 | = | 3 | . |
| 4 | 8 | 12 |
| Vectors a and с are not collinear because | 1 | = | 2 | ≠ | 3 | . |
| 5 | 10 | 12 |
| Vectors с and b are not collinear because | 5 | = | 10 | ≠ | 12 | . |
| 4 | 8 | 12 |
Solution: Since the vector components contain zero, then use the condition of collinearity 1, we find there is a number n for which:
b = na.For this we find a nonzero component of vector a in this case this is ay. If the vectors are collinear then
| n = | by | = | 6 | = 2 |
| ay | 3 |
Calculate the value of na:
na = {2 · 0; 2 · 3; 2 · 1} = {0; 6; 2}Since b = 2a, the vectors a and b are collinear.
Example 6. Find the value of n and m at which the vectors a = {3; 2; m} and b = {9; n; 12} are collinear.Solution: Since the vectors does not contain a components equal to zero, then use the condition of collinearity 2
| ax | = | ay | = | az | . |
| bx | by | bz |
Means:
| 3 | = | 2 | = | m |
| 9 | n | 12 |
From this relations we obtain two equations:
| 3 | = | 2 |
| 9 | n |
| 3 | = | m |
| 9 | 12 |
Solve this equations:
| n = | 2 · 9 | = 6 |
| 3 |
| m = | 3 · 12 | = 4 |
| 9 |
Answer: vectors a and b are collinear when n = 6 and m = 4.
Vectors Vectors Definition. Main information Component form of a vector with initial point and terminal point Length of a vector Direction cosines of a vector Equal vectors Orthogonal vectors Collinear vectors Coplanar vectors Angle between two vectors Vector projection Addition and subtraction of vectors Scalar-vector multiplication Dot product of two vectors Cross product of two vectors (vector product) Scalar triple product (mixed product) Linearly dependent and linearly independent vectors Decomposition of the vector in the basis Online calculators with vectors Tasks and exercises with vector 2D Tasks and exercises with vector 3DAdd the comment
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