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    How to Prepare for AP EAMCET with JEE Main 2026 - Detailed Study Plan

    Lagrange's Identity - Practice Questions & MCQ

    Edited By admin | Updated on Sep 18, 2023 18:34 AM | #JEE Main

    Quick Facts

    • 13 Questions around this concept.

    Solve by difficulty

    $
    \begin{aligned}
    &\text { Find the greatest distance of the point }(1,2) \text { from the circle : }\\
    &x^2+y^2+4 x-8 y-5=0
    \end{aligned}
    $

    Find $(\vec{a} \times \vec{b})^2$ if $\vec{a} \cdot \vec{b}=2$ and $|\vec{a}|=5$ and $|\vec{b}|=\frac{1}{2}$

    Concepts Covered - 2

    Lagrange's Identity

    $
    \begin{aligned}
    (\vec{a} \times \vec{b}) \cdot(\vec{c} \times \vec{d}) & =\left|\begin{array}{ll}
    \vec{a} \cdot \vec{c} & \vec{a} \cdot \vec{d} \\
    \vec{b} \cdot \vec{c} & \vec{b} \cdot \vec{d}
    \end{array}\right| \\
    & =(\vec{a} \cdot \vec{c})(\vec{b} \cdot \vec{d})-(\vec{a} \cdot \vec{d})(\vec{b} \cdot \vec{c})
    \end{aligned}
    $

    Proof:
    Let $\quad(\overrightarrow{\mathbf{a}} \times \overrightarrow{\mathbf{b}}) \cdot(\overrightarrow{\mathbf{c}} \times \overrightarrow{\mathbf{d}})=\overrightarrow{\mathbf{u}} \cdot(\overrightarrow{\mathbf{c}} \times \overrightarrow{\mathbf{d}})$ (where $(\vec{a} \times \vec{b})$ )
    $
    \begin{aligned}
    & =\overrightarrow{\mathbf{u}}=(\overrightarrow{\mathbf{u}} \times \overrightarrow{\mathbf{c}}) \cdot \overrightarrow{\mathbf{d}} \\
    & =((\overrightarrow{\mathbf{a}} \times \overrightarrow{\mathbf{b}}) \times \overrightarrow{\mathbf{c}}) \cdot \overrightarrow{\mathbf{d}} \\
    & =((\overrightarrow{\mathbf{c}} \cdot \overrightarrow{\mathbf{a}}) \overrightarrow{\mathbf{b}}-(\overrightarrow{\mathbf{c}} \cdot \overrightarrow{\mathbf{b}}) \overrightarrow{\mathbf{a}}) \cdot \overrightarrow{\mathbf{d}} \\
    =(\overrightarrow{\mathbf{c}} \cdot \overrightarrow{\mathbf{a}})(\vec{b} \cdot \overrightarrow{\mathbf{d}})- & (\overrightarrow{\mathbf{c}} \cdot \vec{b})(\overrightarrow{\mathbf{a}} \cdot \overrightarrow{\mathbf{d}}) \\
    =(\overrightarrow{\mathbf{a}} \cdot \overrightarrow{\mathbf{c}})(\vec{b} \cdot \overrightarrow{\mathbf{d}})- & (\overrightarrow{\mathbf{a}} \cdot \overrightarrow{\mathbf{d}})(\vec{b} \cdot \overrightarrow{\mathbf{c}})
    \end{aligned}
    $

    NOTE:
    $
    \begin{aligned}
    & (\vec{a} \times \vec{b}) \times(\vec{c} \times \vec{d})=[(\vec{a} \times \vec{b}) \cdot \vec{d}] \vec{c}-[(\vec{a} \times \vec{b}) \cdot \vec{c}] \vec{d} \\
    & =\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{d}
    \end{array}\right] \vec{c}-\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right] \vec{d}
    \end{aligned}
    $
    $\Rightarrow$ Thus, vector $\overrightarrow{(a} \times \vec{b}) \times(\vec{c} \times \vec{d})$ lies in the plane of $\vec{c}$ and $\vec{d}$

    Reciprocal system of Vectors

    If we take the dot product of two system of vectors and get unity, then the system is called reciprocal system of vectors.

    Thus if $\tilde{\mathrm{a}}, \tilde{\mathrm{b}}$ and $\tilde{\mathrm{c}}$ are three non - coplanar vectors, and if $\overrightarrow{a^{\prime}}=\frac{\vec{b} \times \vec{c}}{\left[\begin{array}{ll}\vec{a} & \vec{b}\end{array}\right]}$, $\overrightarrow{b^{\prime}}=\frac{\vec{c} \times \vec{a}}{\left[\begin{array}{lll}\vec{a} & \vec{b} & \vec{c}\end{array}\right]}$ and $\overrightarrow{c^{\prime}}=\frac{\vec{a} \times \vec{b}}{\left[\begin{array}{lll}\vec{a} & \vec{b} & \vec{c}\end{array}\right]}$ then $\overrightarrow{a^{\prime}}, \overrightarrow{b^{\prime}}, \vec{c}$ are said to be the reciprocal systems of vectors for vectors $\vec{a}, \vec{b}$ and $\vec{c}$.

    Properties

    1. If $\overrightarrow{\mathbf{a}}, \overrightarrow{\mathbf{b}}$ and $\overrightarrow{\mathbf{c}}$ and $\overrightarrow{\mathbf{a}^{\prime}}, \overrightarrow{\mathbf{b}^{\prime}}$ and $\overrightarrow{\mathbf{c}^{\prime}}$ are reciprocal system of vectors, then $\left.\overrightarrow{\mathbf{a}} \cdot \overrightarrow{\mathbf{a}^{\prime}}=\frac{\overrightarrow{\mathbf{a}} \cdot(\overrightarrow{\mathbf{b}} \times \overrightarrow{\mathbf{c}})}{[\overrightarrow{\mathbf{a}} \overrightarrow{\mathbf{b}} \overrightarrow{\mathbf{c}}]}=\frac{\left[\begin{array}{lll}\overrightarrow{\mathbf{a}} & \overrightarrow{\mathbf{b}} & \overrightarrow{\mathbf{c}}\end{array}\right]}{[\overrightarrow{\mathbf{a}} \overrightarrow{\mathbf{b}}} \overrightarrow{\mathbf{c}}\right]$.

    Similarly,
    $
    \overrightarrow{\mathbf{b}} \cdot \overrightarrow{\mathbf{b}^{\prime}}=\overrightarrow{\mathbf{c}} \cdot \overrightarrow{\mathbf{c}^{\prime}}=1
    $

    Due to the above property, the two systems of vectors are called reciprocal systems.
    2. $\overrightarrow{\mathbf{a}} \cdot \overrightarrow{\mathbf{b}^{\prime}}=\overrightarrow{\mathbf{a}} \cdot \overrightarrow{\mathbf{c}^{\prime}}=\overrightarrow{\mathbf{b}} \cdot \overrightarrow{\mathbf{a}^{\prime}}=\overrightarrow{\mathbf{b}} \cdot \overrightarrow{\mathbf{c}^{\prime}}=\overrightarrow{\mathbf{c}} \cdot \overrightarrow{\mathbf{a}^{\prime}}=\overrightarrow{\mathbf{c}} \cdot \overrightarrow{\mathbf{b}^{\prime}}=\mathbf{0}$
    3. $\left[\begin{array}{lll}\overrightarrow{\mathbf{a}} & \overrightarrow{\mathrm{b}} & \overrightarrow{\mathbf{c}}\end{array}\right]\left[\begin{array}{lll}\overrightarrow{\mathbf{a}^{\prime}} & \overrightarrow{\mathbf{b}^{\prime}} & \overrightarrow{\mathbf{c}^{\prime}}\end{array}\right]=1$

     Proof:

     We have,
    $
    \begin{aligned}
    {\left[\begin{array}{lll}
    \overrightarrow{a^{\prime}} & \overrightarrow{b^{\prime}} & \overrightarrow{c^{\prime}}
    \end{array}\right]=\left[\begin{array}{ll}
    \vec{b} \times \vec{c} \\
    {\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right] \frac{\vec{c} \times \vec{a}}{\left.\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right] \frac{\vec{a} \times \vec{b}}{\left[\begin{array}{ll}
    \vec{a} & \vec{b} \\
    \vec{c}
    \end{array}\right]}\right]}} \\
    & =\frac{1}{\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right]^3}\left[\begin{array}{lll}
    \vec{b} & \vec{c} & \vec{c} \times \vec{a} \\
    & \vec{a} \times \vec{b}
    \end{array}\right] \\
    & =\frac{1}{\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right]^3}\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right]^2 \\
    & =\frac{1}{\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right]} \\
    \Rightarrow\left[\begin{array}{lll}
    \overrightarrow{a^{\prime}} & \overrightarrow{b^{\prime}} & \vec{c}
    \end{array}\right]\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right]=1
    \end{array}\right.}
    \end{aligned}
    $
    4. The orthogonal triad of vectors $\hat{\mathbf{i}}, \hat{\mathbf{j}}$ and $\hat{\mathbf{k}}$ is self reciprocal.

    5. $\overrightarrow{\mathbf{a}}, \overrightarrow{\mathbf{b}}$ and $\overrightarrow{\mathbf{c}}$ are non-coplanar iff $\overrightarrow{\mathbf{a}^{\prime}}, \overrightarrow{\mathbf{b}^{\prime}}$ and $\overrightarrow{\mathbf{c}^{\prime}}$ are non-coplanar.
    $
    \text { As }\left[\begin{array}{lll}
    \overrightarrow{a^{\prime}} & \overrightarrow{b^{\prime}} & \vec{c}
    \end{array}\right]\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right]=1_{\text {and }}\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right] \neq 0 \text { are non-coplanar } \quad \Leftrightarrow \frac{1}{\left[\begin{array}{lll}
    \vec{a} & \vec{b} & \vec{c}
    \end{array}\right]} \neq 0 \Leftrightarrow\left[\begin{array}{lll}
    \overrightarrow{a^{\prime}} & \overrightarrow{b^{\prime}} & \overrightarrow{c^{\prime}}
    \end{array}\right]
    $
    are non-coplanar.

    Study it with Videos

    Lagrange's Identity
    Reciprocal system of Vectors

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    Books

    Reference Books

    Lagrange's Identity

    Mathematics for Joint Entrance Examination JEE (Advanced) : Vectors and 3D Geometry

    Page No. : 3.47

    Line : 2

    Reciprocal system of Vectors

    Mathematics for Joint Entrance Examination JEE (Advanced) : Vectors and 3D Geometry

    Page No. : 3.55

    Line : 9

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