Question
Let . If the system of equations has infinitely many solutions, then is equal to :
Options
Solution
1. Key Concepts and Formulas
- Conditions for Infinitely Many Solutions: For a system of linear equations with variables, it has infinitely many solutions if and only if:
- The determinant of the coefficient matrix, , is zero.
- The rank of the coefficient matrix is equal to the rank of the augmented matrix , and this common rank is less than the number of variables, . ().
- Linear Dependence of Rows: When for a matrix, it implies that the rows (or columns) of are linearly dependent. For infinitely many solutions, the rows of the augmented matrix must also be linearly dependent in the same way. That is, if one row of (e.g., ) is a linear combination of the other rows (e.g., ), then the corresponding element in the constant matrix (e.g., ) must also be the same linear combination of the other elements of (e.g., ).
- Determinant of a Matrix: For , the determinant is .
2. Step-by-Step Solution
Step 1: Represent the system in matrix form. The given system of linear equations is: This can be written in the matrix form , where:
Step 2: Apply the condition to find . For the system to have infinitely many solutions, the determinant of the coefficient matrix must be zero. Expanding the determinant along the first row: Now, we calculate the determinants:
- Substitute these values back into the determinant equation: So, the value of is .
Step 3: Apply the condition of linear dependence to find . Since , the rows of are linearly dependent. For the system to have infinitely many solutions, the third row of the augmented matrix must be a linear combination of the first two rows. Let's assume for some scalars and . We compare the coefficients of and the constant terms:
- For -coefficients:
- For -coefficients:
- For -coefficients:
- For constant terms:
First, we solve the system of equations (1) and (2) for and : Multiply equation (1) by 5: Multiply equation (2) by 3: Subtracting the second modified equation from the first: Substitute back into equation (1): So, the linear combination coefficients are and .
Now, we verify this linear combination with the -coefficients using our calculated : This confirms that our values for and are consistent.
Finally, we use these values of and to find from the constant terms (equation 4): Thus, the value of is .
Step 4: Calculate . We need to find the value of . Substitute the values and :
3. Common Mistakes & Tips
- Arithmetic Errors: Determinant calculations and solving for and involve several arithmetic operations. A single mistake can lead to an incorrect final answer. Always double-check your calculations.
- Incomplete Conditions: Remember that alone is not sufficient for infinitely many solutions; it could also lead to no solution. The additional condition of consistent linear dependence across the augmented matrix is crucial.
- Systematic Approach: Break down the problem into smaller, manageable steps (finding , then and , then ). This reduces the chances of error and makes the solution easier to follow.
4. Summary
To solve this problem, we first used the condition that for a system to have infinitely many solutions, the determinant of its coefficient matrix must be zero. This allowed us to calculate . Next, we applied the condition that the rows of the augmented matrix must be linearly dependent in the same way as the coefficient matrix. By expressing the third row as a linear combination of the first two rows (), we found the values of and . Using these values, we then determined . Finally, we computed the required expression .
5. Final Answer
The final answer is .