LINEAR-ALGEBRA Β· Unit 2 Β· Video 1 Β· Interactive Practice
| Formula | Name | Description |
|---|---|---|
| Multiplier | Ratio of target entry to pivot | |
| Row operation | Eliminates entry at position | |
| Determinant | Product of pivots from | |
| Back substitution | Solve | Solve from bottom equation upward |
Each row operation clears one entry below the diagonal, marching toward upper-triangular form.
augmented matrix [A | b]
Sliding the single entry slides the third pivot ; when it reaches the matrix turns singular.
π‘ A zero pivot, a zero determinant, and a singular matrix are one and the same event β here at .
The bottom equation has one unknown; each solved variable unlocks exactly one new unknown in the row above.
solution vector x
Question 1
Consider the augmented matrix from the video:
The first elimination step uses . What is the multiplier ?
β Correct! The multiplier is target Γ· pivot = 3/1 = 3.
β Not quite. The multiplier is (target entry) Γ· (pivot) = aββ / aββ.
Solution:
The multiplier is the ratio of the target entry to the pivot:
We then perform to zero out position .
Common mistake: Computing β the multiplier is target pivot, not the other way around.
Question 2
After forward elimination, the upper triangular matrix has pivots on its diagonal. What is ?
β Correct! det(A) = product of pivots = 1 Γ 2 Γ 5 = 10.
β Not quite. Remember: the determinant is the product of the pivots, not the sum.
Solution:
The determinant equals the product of the pivots of :
Since , the matrix is invertible and the system has a unique solution.
Common mistakes:
Question 3
True or False: If a zero appears in a pivot position during Gaussian elimination, the matrix is always singular (not invertible).
β Correct! A zero pivot can sometimes be fixed by a row swap (temporary failure). Singularity only occurs when no non-zero entry exists below.
β Not quite. Consider: what if there's a non-zero entry below the zero pivot that we could swap?
Answer: False
A zero in a pivot position does not always mean the matrix is singular:
Temporary failure: If a non-zero entry exists below the zero pivot, we can swap rows (a row exchange) and continue elimination. The matrix may still be invertible.
Permanent failure: If all entries below the zero pivot are also zero, no row swap can help. Only then is the matrix singular with .
The key distinction: Can we find a non-zero entry below to swap with?
Question 4
During back substitution on the triangular system, after finding , we substitute into Equation 2:
What is the value of ?
β Correct! Since , we get , giving .
β Not quite. Be careful with the double negative: , not .
Solution:
Substitute into Equation 2:
Common mistake: Getting the sign wrong on .
Solved: 0 / 4