2022 AMC 10B Problems/Problem 18
Problem
Consider systems of three linear equations with unknowns , , and , where each of the coefficients is either 0 or 1 and the system has a solution other than . For example, one such system is with a nonzero solution of . How many such systems of equations are there? (The equations in a system need not be distinct, and two systems containing the same equations in a different order are considered different.)
==Solution (Linear dependence, vector analysis)
Denote vector for . Thus, we need to count how many vector tuples are linearly dependent.
We do complementary counting.
First, the total number of vector tuples is .
Second, we count how many many vector tuples are linearly independent.
To meet this condition, no vector can be a zero vector .
Next, we do the casework analysis.
Case : Three vectors are all on axes.
In this case, the number of is .
Case : Two vectors are on axes and the third vector is not.
We construct such an instance in the following steps.
Step 1: We determine which two vectors lie on axes.
The number of ways is 3.
Step 2: For two vectors selected in Step 1, we determine which two axes they lie on.
The number of ways is .
Step 3: For the third unselected vector, we determine its value.
To make three vectors linear independent, the third vector cannot be on the plane formed by the first two vectors. So the number of ways is 3.
Following from the rule of product, the number of in this case is .
Case : One vector is on an axis and the other two are not.
We construct such an instance in the following steps.
Step 1: We determine which vector lies on an axis.
The number of ways is 3.
Step 2: For the selected vector, we determine which axis it lies on.
The number of ways is 3.
Step 3: We determine the values of the two unselected vectors.
First, to be linearly independent, these two vectors are distinct. Second, to be linearly independent, we cannot have one vector and another one that is a diagonal vector on the plane that is perpendicular to the first selected vector.
Thus, the number or ways in this step is .
Following from the rule of product, the number of in this case is .
Case : No vector is on any axis.
In this case, any three distinct vectors are linearly independent. So the number of in this case is .
Putting all cases together, the number of vector tuples that are linearly independent is
~Steven Chen (Professor Chen Education Palace, www.professorchenedu.com)
Video Solution
~Steven Chen (Professor Chen Education Palace, www.professorchenedu.com)