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JEE Main 2020
Vector Algebra
Vector Algebra
Medium

Question

If vectors a1=xi^j^+k^\overrightarrow {{a_1}} = x\widehat i - \widehat j + \widehat k and a2=i^+yj^+zk^\overrightarrow {{a_2}} = \widehat i + y\widehat j + z\widehat k are collinear, then a possible unit vector parallel to the vector xi^+yj^+zk^x\widehat i + y\widehat j + z\widehat k is :

Options

Solution

Key Concepts and Formulas

  • Collinear Vectors: Two non-zero vectors A\overrightarrow A and B\overrightarrow B are collinear if and only if A=kB\overrightarrow A = k\overrightarrow B for some non-zero scalar kk. This implies that their corresponding components are proportional.
  • Equality of Vectors: Two vectors are equal if and only if their corresponding components are equal.
  • Unit Vector: A unit vector in the direction of a non-zero vector V\overrightarrow V is given by V^=VV\widehat V = \frac{\overrightarrow V}{|\overrightarrow V|}, where V|\overrightarrow V| is the magnitude of V\overrightarrow V. The magnitude of a vector V=ai^+bj^+ck^\overrightarrow V = a\widehat i + b\widehat j + c\widehat k is V=a2+b2+c2|\overrightarrow V| = \sqrt{a^2 + b^2 + c^2}.

Step-by-Step Solution

Step 1: Expressing Collinearity Mathematically

We are given two vectors, a1=xi^j^+k^\overrightarrow {{a_1}} = x\widehat i - \widehat j + \widehat k and a2=i^+yj^+zk^\overrightarrow {{a_2}} = \widehat i + y\widehat j + z\widehat k. Since a1\overrightarrow {{a_1}} and a2\overrightarrow {{a_2}} are collinear, there exists a non-zero scalar λ\lambda such that a2=λa1\overrightarrow {{a_2}} = \lambda \overrightarrow {{a_1}}.

i^+yj^+zk^=λ(xi^j^+k^)\widehat i + y\widehat j + z\widehat k = \lambda (x\widehat i - \widehat j + \widehat k) i^+yj^+zk^=(λx)i^λj^+λk^\widehat i + y\widehat j + z\widehat k = (\lambda x)\widehat i - \lambda\widehat j + \lambda\widehat k

Why this step? This is the definition of collinear vectors, which allows us to establish a relationship between the two given vectors and introduce a scalar parameter λ\lambda.


Step 2: Equating Components to Find Relationships

For the equality of vectors to hold, their corresponding components must be equal. Equating the coefficients of i^\widehat i, j^\widehat j, and k^\widehat k on both sides of the equation from Step 1:

  1. Coefficient of i^\widehat i: 1=λx1 = \lambda x
  2. Coefficient of j^\widehat j: y=λy = -\lambda
  3. Coefficient of k^\widehat k: z=λz = \lambda

From these equations, we can express x,y,zx, y, z in terms of λ\lambda:

  • From 1=λx1 = \lambda x, we get x=1λx = \frac{1}{\lambda}. (Note: Since a1\overrightarrow{a_1} and a2\overrightarrow{a_2} are non-zero and collinear, λ\lambda cannot be zero.)
  • y=λy = -\lambda.
  • z=λz = \lambda.

Why this step? By equating components, we derive the specific relationships between the unknown variables (x,y,zx, y, z) and the scalar parameter (λ\lambda). This is crucial for substituting these relationships into the vector we are interested in.


Step 3: Constructing the Target Vector

We need to find a unit vector parallel to the vector xi^+yj^+zk^x\widehat i + y\widehat j + z\widehat k. Let this vector be V\overrightarrow V. V=xi^+yj^+zk^\overrightarrow V = x\widehat i + y\widehat j + z\widehat k Substitute the expressions for x,y,zx, y, z found in Step 2 into V\overrightarrow V: V=(1λ)i^+(λ)j^+(λ)k^\overrightarrow V = \left(\frac{1}{\lambda}\right)\widehat i + (-\lambda)\widehat j + (\lambda)\widehat k V=1λi^λj^+λk^\overrightarrow V = \frac{1}{\lambda}\widehat i - \lambda\widehat j + \lambda\widehat k

Why this step? We have now expressed the target vector V\overrightarrow V in terms of a single scalar parameter λ\lambda. This simplifies the problem, as we can now analyze the direction of V\overrightarrow V based on the value of λ\lambda.


Step 4: Finding a Unit Vector Parallel to V\overrightarrow V

A unit vector in the direction of V\overrightarrow V is given by VV\frac{\overrightarrow V}{|\overrightarrow V|}. First, let's find the magnitude of V\overrightarrow V: V=1λi^λj^+λk^=(1λ)2+(λ)2+(λ)2|\overrightarrow V| = \left| \frac{1}{\lambda}\widehat i - \lambda\widehat j + \lambda\widehat k \right| = \sqrt{\left(\frac{1}{\lambda}\right)^2 + (-\lambda)^2 + (\lambda)^2} V=1λ2+λ2+λ2=1λ2+2λ2|\overrightarrow V| = \sqrt{\frac{1}{\lambda^2} + \lambda^2 + \lambda^2} = \sqrt{\frac{1}{\lambda^2} + 2\lambda^2}

The unit vector u^\widehat u is: u^=VV=1λi^λj^+λk^1λ2+2λ2\widehat u = \frac{\overrightarrow V}{|\overrightarrow V|} = \frac{\frac{1}{\lambda}\widehat i - \lambda\widehat j + \lambda\widehat k}{\sqrt{\frac{1}{\lambda^2} + 2\lambda^2}} To simplify, multiply the numerator and the denominator by λ\lambda (since λ0\lambda \neq 0): u^=λ(1λi^λj^+λk^)λ1λ2+2λ2=i^λ2j^+λ2k^λ2(1λ2+2λ2)\widehat u = \frac{\lambda \left(\frac{1}{\lambda}\widehat i - \lambda\widehat j + \lambda\widehat k\right)}{\lambda \sqrt{\frac{1}{\lambda^2} + 2\lambda^2}} = \frac{\widehat i - \lambda^2\widehat j + \lambda^2\widehat k}{\sqrt{\lambda^2 \left(\frac{1}{\lambda^2} + 2\lambda^2\right)}} u^=i^λ2j^+λ2k^1+2λ4\widehat u = \frac{\widehat i - \lambda^2\widehat j + \lambda^2\widehat k}{\sqrt{1 + 2\lambda^4}}

Why this step? This step applies the definition of a unit vector. By calculating the magnitude and dividing the vector by it, we obtain a vector of unit length pointing in the same direction as V\overrightarrow V. The simplification makes it easier to compare with the given options.


Step 5: Choosing a Convenient Value for λ\lambda

The problem asks for "a possible unit vector". This means we can choose any non-zero value for λ\lambda that simplifies the expression for u^\widehat u and matches one of the options. A common and effective choice is to set λ2=1\lambda^2 = 1, which means λ=1\lambda = 1 or λ=1\lambda = -1. Let's choose λ2=1\lambda^2 = 1.

Substitute λ2=1\lambda^2 = 1 into the expression for u^\widehat u: u^=i^(1)j^+(1)k^1+2(1)2\widehat u = \frac{\widehat i - (1)\widehat j + (1)\widehat k}{\sqrt{1 + 2(1)^2}} u^=i^j^+k^1+2\widehat u = \frac{\widehat i - \widehat j + \widehat k}{\sqrt{1 + 2}} u^=i^j^+k^3\widehat u = \frac{\widehat i - \widehat j + \widehat k}{\sqrt{3}} This can be written as: u^=13(i^j^+k^)\widehat u = \frac{1}{\sqrt{3}}(\widehat i - \widehat j + \widehat k)

Why this step? Since we need to find a possible unit vector, we can pick a value for λ\lambda that leads to a simple form. Setting λ2=1\lambda^2=1 is strategic because it simplifies terms involving λ2\lambda^2 and λ4\lambda^4, making the magnitude calculation cleaner. This resulting vector matches option (A).


Common Mistakes & Tips

  • Proportionality of Components: When vectors are collinear, not only are the vectors proportional, but so are their corresponding components. For example, if A=kB\overrightarrow A = k\overrightarrow B, then Ax=kBxA_x = kB_x, Ay=kByA_y = kB_y, and Az=kBzA_z = kB_z.
  • Scalar λ\lambda can be negative: Remember that the scalar multiple λ\lambda can be positive or negative, indicating the direction of collinearity.
  • Magnitude Calculation: Be careful when squaring terms and taking square roots, especially when variables are involved.
  • Unit Vector Definition: Always divide the vector by its magnitude to obtain a unit vector.

Summary

The problem hinges on the definition of collinear vectors, which states that one vector can be expressed as a scalar multiple of another. By equating the components of the given collinear vectors, we established relationships between their unknown variables (x,y,zx, y, z) and a scalar parameter (λ\lambda). These relationships allowed us to express the target vector xi^+yj^+zk^x\widehat i + y\widehat j + z\widehat k in terms of λ\lambda. We then calculated the general form of a unit vector parallel to this target vector. By strategically choosing a simple value for λ\lambda (specifically, λ2=1\lambda^2=1), we obtained a unit vector that matches one of the provided options.

The final answer is (A)\boxed{\text{(A)}}.

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