Dive deep into parameterized linear systems! Learn to classify solutions by parameter values, master 3-variable elimination techniques, and interpret geometric meanings. Develop systematic approaches to handle complex constraints and real-world modeling scenarios.
For a system with parameters:
Unique Solution: When (determinant ≠ 0)
No Solution: When but
Infinitely Many Solutions: When and
Theorem: The solution set of a linear system corresponds to the intersection of geometric objects:
• 2-variable system: Intersection of two lines in the plane
• 3-variable system: Intersection of three planes in 3D space
• Unique solution: Single point of intersection
• No solution: Parallel objects (no intersection)
• Infinitely many: Objects coincide or intersect along a line
Systematic Approach:
1. Choose elimination variable: Select variable with simplest coefficients
2. Create 2-variable system: Use two equations to eliminate chosen variable
3. Solve reduced system: Find values for remaining two variables
4. Back-substitute: Use found values to determine eliminated variable
5. Verify solution: Check all three original equations
Solve the system and classify solutions by parameter .
Step 1: Apply elimination method
Multiply first equation by :
Subtract second equation:
Simplify:
Step 2: Classify by parameter values
Case 1: (i.e., )
•
• Substitute into first equation:
• Result: Unique solution
Case 2:
• System becomes:
• Result: No solution (contradiction)
Case 3:
• System becomes:
• Result: No solution (contradiction)
Geometric Interpretation: When , the lines intersect at a unique point. When , the lines are parallel (no intersection).
Solve the system:
Step 1: Choose elimination variable (z)
Add equations 1 and 2:
Result: ... (Equation A)
Multiply equation 2 by 2:
Add to equation 3:
Result: ... (Equation B)
Step 2: Solve 2-variable system
Add equations A and B:
Simplify: →
From equation A:
Step 3: Express in terms of one variable
Let , then:
•
•
Step 4: Find specific solution
Substitute :
Verify: ✓, ✓, ✓
Solution: . This represents the unique intersection point of three planes in 3D space.
A restaurant uses chicken (C), vegetables (V), and rice (R) to make meal packages. Package 1: 2C + 3V + 1R, Package 2: 3C + 5V + 2R, Package 3: 4C + 7V + 3R. Available: 60 units chicken, 95 units vegetables. Find maximum packages and rice needed.
Step 1: Set up system
Let = number of packages 1, 2, 3
Chicken constraint:
Vegetable constraint:
Non-negativity:
Step 2: Find feasible solutions
If only Package 1:
If only Package 2:
If only Package 3:
Step 3: Mixed strategy analysis
Try :
Chicken used: ✓
Vegetables used: ✓
Remaining: 10 chicken, 15 vegetables
Can add: more packages
Step 4: Calculate rice requirement
Total rice needed: units
Optimal Solution: 10 Package 1, 10 Package 2, 2 Package 3. Total: 22 packages, requiring 36 units of rice.
For system , the coefficient matrix is:
The determinant determines solution type:
When , solutions are:
This provides direct formulas for parameterized solutions.
For 3-variable systems, visualize plane intersections:
• Three planes intersect at point: Unique solution
• Two planes parallel, third intersects both: No solution
• All three planes parallel: No solution
• Three planes intersect along line: Infinitely many solutions
• All three planes identical: Infinitely many solutions
Error: Dividing by without checking if .
Solution: Always check parameter values that make denominators zero before dividing.
Error: Randomly choosing which variable to eliminate first in 3-variable systems.
Solution: Choose the variable with the simplest coefficients to minimize arithmetic errors.
Error: Accepting negative solutions for quantities that must be positive.
Solution: Always check if solutions make sense in the given context.
Error: Not checking that found solutions satisfy all original equations.
Solution: Always substitute back into all original equations to verify.
For what values of does the system have:
a) A unique solution?
b) No solution?
c) Infinitely many solutions?
Step 1: Calculate determinant:
Step 2: For unique solution: →
Step 3: For no/infinitely many solutions: → or
Step 4: Check each case to determine which gives no solution vs. infinitely many.
Solve:
Strategy: Eliminate x first using equations 1 and 2, then 1 and 3.
Step 1:
Step 2:
Step 3: Solve the 2-variable system to find y and z, then back-substitute for x.
A factory produces three products A, B, C using resources X, Y, Z. Product A uses (2,1,3) units, Product B uses (1,3,2) units, Product C uses (3,2,1) units. Available resources: (100, 120, 90) units. Find the maximum number of each product that can be produced.
Constraints:
• (Resource X)
• (Resource Y)
• (Resource Z)
Strategy: Use linear programming or find intersection points of constraint boundaries.
Consider the system: where . Express the solution in terms of a, b, c, d and interpret geometrically.
Solution:
•
•
Geometric meaning: The lines have slopes and , which are negative reciprocals when , ensuring they intersect at a unique point.