JEE MainMathematicsMatrices and DeterminantsMCQ+4 / −1
Let be a real matrix such that Then, the system has :
- Aexactly two solutions
- Binfinitely many solutions
- Cunique solution
- Dno solution
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Correct answer: C
- Identify eigenvectors and eigenvalues
We are given:
A\begin{pmatrix}-1\\0\\1\end{pmatrix}=4\begin{pmatrix}-1\\0\\1\end{pmatrix},\quad A\begin{pmatrix}0\\1\\0\end{pmatrix}=2\begin{pmatrix}0\\1\\0\end{pmatrix}.$$ So the vectors $$v_1=\begin{pmatrix}1\\0\\1\end{pmatrix},\quad v_2=\begin{pmatrix}-1\\0\\1\end{pmatrix},\quad v_3=\begin{pmatrix}0\\1\\0\end{pmatrix}$$ are eigenvectors of $A$ with eigenvalues $2,4,2$ respectively. 2. **Check whether these vectors are linearly independent** Let $$c_1v_1+c_2v_2+c_3v_3=0.$$ Then $$c_1\begin{pmatrix}1\\0\\1\end{pmatrix}+c_2\begin{pmatrix}-1\\0\\1\end{pmatrix}+c_3\begin{pmatrix}0\\1\\0\end{pmatrix} =\begin{pmatrix}c_1-c_2\\c_3\\c_1+c_2\end{pmatrix}=\begin{pmatrix}0\\0\\0\end{pmatrix}.$$ Thus, $$c_1-c_2=0,\quad c_3=0,\quad c_1+c_2=0.$$ From the first and third equations, $c_1=c_2$ and $c_1=-c_2$, so $c_1=c_2=0$, and also $c_3=0$. Hence $v_1,v_2,v_3$ are linearly independent, so they form a basis of $\mathbb R^3$. 3. **Find eigenvalues of $A-3I$** If $Av=\lambda v$, then $$(A-3I)v=(\lambda-3)v.$$ So for the above basis vectors, the eigenvalues of $A-3I$ are: - for $v_1$: $2-3=-1$ - for $v_2$: $4-3=1$ - for $v_3$: $2-3=-1$ Thus the eigenvalues of $A-3I$ are $-1,1,-1$. 4. **Determine invertibility of $A-3I$** Since none of the eigenvalues of $A-3I$ is $0$, the matrix $A-3I$ is invertible. Equivalently, $$\det(A-3I)=(-1)(1)(-1)=1\neq 0.$$ 5. **Conclude about the system** The system $$(A-3I)\begin{pmatrix}x\\y\\z\end{pmatrix}=\begin{pmatrix}1\\2\\3\end{pmatrix}$$ has a coefficient matrix $A-3I$ which is invertible. Therefore, it has **exactly one solution**. 6. **Check options** - A: exactly two solutions — false - B: infinitely many solutions — false - C: unique solution — true - D: no solution — false Hence, the correct option is: $$\boxed{\text{C}}$$More from Matrices and Determinants
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