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Matrices & Determinants
Matrices and Determinants
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Question

The number of values of kk for which the linear equations 4x+ky+2z=0,kx+4y+z=04x + ky + 2z = 0,kx + 4y + z = 0 and 2x+2y+z=02x+2y+z=0 possess a non-zero solution is :

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Solution

This problem tests your understanding of systems of linear equations, specifically homogeneous systems, and their conditions for having non-trivial (non-zero) solutions.


1. Key Concept: Condition for Non-Zero Solution in Homogeneous Linear Equations

A system of homogeneous linear equations is one where all constant terms are zero. For a system of nn linear equations in nn variables, represented in matrix form as AX=0AX = 0: A=(a11a12a1na21a22a2nan1an2ann),X=(x1x2xn),0=(000)A = \begin{pmatrix} a_{11} & a_{12} & \dots & a_{1n} \\ a_{21} & a_{22} & \dots & a_{2n} \\ \vdots & \vdots & \ddots & \vdots \\ a_{n1} & a_{n2} & \dots & a_{nn} \end{pmatrix}, \quad X = \begin{pmatrix} x_1 \\ x_2 \\ \vdots \\ x_n \end{pmatrix}, \quad 0 = \begin{pmatrix} 0 \\ 0 \\ \vdots \\ 0 \end{pmatrix} This system always has a trivial solution, X=0X=0 (i.e., x1=0,x2=0,,xn=0x_1=0, x_2=0, \dots, x_n=0). However, for the system to possess a non-zero solution (also called a non-trivial solution), a specific condition must be met: The determinant of the coefficient matrix AA must be equal to zero. det(A)=0\det(A) = 0


2. Identifying the Given System of Equations

We are given the following system of three homogeneous linear equations in three variables (x,y,zx, y, z):

  1. 4x+ky+2z=04x + ky + 2z = 0
  2. kx+4y+z=0kx + 4y + z = 0
  3. 2x+2y+z=02x + 2y + z = 0

3. Forming the Coefficient Matrix

From the given equations, we can construct the coefficient matrix AA by taking the coefficients of x,y,x, y, and zz from each equation: A=(4k2k41221)A = \begin{pmatrix} 4 & k & 2 \\ k & 4 & 1 \\ 2 & 2 & 1 \end{pmatrix}


4. Applying the Condition for Non-Zero Solution

For the system to have a non-zero solution, the determinant of the coefficient matrix AA must be zero. det(A)=0\det(A) = 0 4k2k41221=0\left| \begin{matrix} 4 & k & 2 \\ k & 4 & 1 \\ 2 & 2 & 1 \end{matrix} \right| = 0


5. Step-by-Step Calculation of the Determinant

We will expand the 3×33 \times 3 determinant using the cofactor expansion method along the first row (R1R_1). The formula for expanding a 3×33 \times 3 determinant abcdefghi\left| \begin{smallmatrix} a & b & c \\ d & e & f \\ g & h & i \end{smallmatrix} \right| along the first row is a(eifh)b(difg)+c(dheg)a(ei-fh) - b(di-fg) + c(dh-eg).

Applying this to our determinant: 44121kk121+2k422=04 \cdot \left| \begin{matrix} 4 & 1 \\ 2 & 1 \end{matrix} \right| - k \cdot \left| \begin{matrix} k & 1 \\ 2 & 1 \end{matrix} \right| + 2 \cdot \left| \begin{matrix} k & 4 \\ 2 & 2 \end{matrix} \right| = 0

Step 5.1: Calculate the 2×22 \times 2 sub-determinants.

  • The first 2×22 \times 2 determinant is 4121=(4×1)(1×2)=42=2\left| \begin{smallmatrix} 4 & 1 \\ 2 & 1 \end{smallmatrix} \right| = (4 \times 1) - (1 \times 2) = 4 - 2 = 2.
  • The second 2×22 \times 2 determinant is k121=(k×1)(1×2)=k2\left| \begin{smallmatrix} k & 1 \\ 2 & 1 \end{smallmatrix} \right| = (k \times 1) - (1 \times 2) = k - 2.
  • The third 2×22 \times 2 determinant is k422=(k×2)(4×2)=2k8\left| \begin{smallmatrix} k & 4 \\ 2 & 2 \end{smallmatrix} \right| = (k \times 2) - (4 \times 2) = 2k - 8.

Step 5.2: Substitute these values back into the expansion. 4(2)k(k2)+2(2k8)=04(2) - k(k - 2) + 2(2k - 8) = 0

Step 5.3: Simplify the expression. 8(k22k)+(4k16)=08 - (k^2 - 2k) + (4k - 16) = 0 8k2+2k+4k16=08 - k^2 + 2k + 4k - 16 = 0

Step 5.4: Combine like terms. k2+(2k+4k)+(816)=0-k^2 + (2k + 4k) + (8 - 16) = 0 k2+6k8=0-k^2 + 6k - 8 = 0

Step 5.5: Multiply by -1 to make the leading coefficient positive (optional, but standard practice). k26k+8=0k^2 - 6k + 8 = 0


6. Solving the Resulting Quadratic Equation

We now have a quadratic equation in kk: k26k+8=0k^2 - 6k + 8 = 0. We can solve this by factoring. We need two numbers that multiply to 8 and add up to -6. These numbers are -2 and -4. (k2)(k4)=0(k - 2)(k - 4) = 0

This gives us two possible values for kk:

  • k2=0k=2k - 2 = 0 \Rightarrow k = 2
  • k4=0k=4k - 4 = 0 \Rightarrow k = 4

7. Conclusion: Number of Values of kk

The values of kk for which the system possesses a non-zero solution are k=2k=2 and k=4k=4. These are two distinct values.

Therefore, the number of values of kk is 2.


Tips and Common Mistakes:

  • Homogeneous vs. Non-Homogeneous Systems: Remember the condition det(A)=0\det(A)=0 is specific to homogeneous systems for non-trivial solutions. For non-homogeneous systems (AX=BAX=B where B0B \ne 0), Cramer's Rule applies, and det(A)0\det(A) \ne 0 implies a unique solution, while det(A)=0\det(A) = 0 can lead to either no solution or infinitely many solutions.
  • Determinant Calculation Errors: Be very careful with signs and arithmetic when expanding determinants, especially for 3×33 \times 3 matrices. A common mistake is forgetting the alternating signs in cofactor expansion.
  • Counting Distinct Values: After finding the roots of the equation, always double-check if the question asks for the values themselves or the number of distinct values. If, for example, the quadratic had a repeated root, there would only be one distinct value of kk.

Summary and Key Takeaway:

For a system of homogeneous linear equations to have a non-zero solution, the determinant of its coefficient matrix must be zero. By forming the coefficient matrix, calculating its determinant, and setting it to zero, we obtain an equation for the unknown parameter kk. Solving this equation yields the required values of kk. In this case, we found two distinct values of kk, namely 22 and 44.

The final answer is A\boxed{A}.

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