Q.If and are two non-collinear vectors, then find such that and are collinear.
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Start your 14-day free trial to unlock the full solution →If two vectors are collinear, one is a scalar multiple of the other. By equating coefficients of the non-collinear basis vectors and , we find that .
When we say two vectors are collinear, it means they lie on the same line or on parallel lines. Geometrically, they point in the same direction or exactly opposite directions. Mathematically, this implies a very specific relationship: one vector must be a scalar multiple of the other.
Consider two vectors, and . If they are collinear, then there exists some scalar such that . This scalar can be positive (same direction), negative (opposite direction), or zero (if one of the vectors is the zero vector).
The problem provides and in terms of two other vectors, and . A crucial piece of information is that and are non-collinear. This means they form a basis for a 2D plane; you cannot express one as a scalar multiple of the other. This property is key: if we have an equation where and are non-collinear, then the only way for this equation to hold is if both coefficients and are zero. This is analogous to saying that if for all and are not proportional, then and .
Let's apply this understanding to solve the problem.
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Set up the collinearity condition for and .
Since and are collinear, one must be a scalar multiple of the other. Let's assume for some scalar .
If and are collinear, then for some scalar .
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Substitute the given expressions for and .
We are given and .
Substituting these into :
- Distribute the scalar and rearrange the equation. Expand the right side and then move all terms to one side to set the equation to :
Now, group the terms involving $\vec{a}$ and $\vec{b}$:
- Apply the non-collinearity condition of and . We are given that and are non-collinear vectors. For a linear combination of non-collinear vectors to be the zero vector, the coefficients of each vector must individually be zero. This is a fundamental property of linearly independent vectors. …
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