Miscellaneous · Q8: A determinant of 0s and 1s is positive,
If each element of a second order determinant is either zero or one, what is the probability that the value of the determinant is positive? (Assume that the individual entries of the determinant are chosen independently, each value being assumed with probability ).
Let the determinant be , where each of is 0 or 1.
The entries are independent, each 0 or 1 with probability . So there are determinants, each with probability .
Let : the determinant is positive. Since and are each 0 or 1, only when and .
only when : 1 way. when or : 3 ways.
So : , and .
.
Want the reason behind every step, the basics and the checks?
A second order determinant is . With entries 0 or 1, both products and are 0 or 1, so the determinant is positive only in the one way " and ". Counting the 16 equally likely determinants (or multiplying independent probabilities) gives .
- Given
- A determinant whose entries are chosen independently, each equal to 0 or 1 with probability .
- To find
- P(the value of the determinant is positive).
- Plan
- (1) Write the value and its possible values. (2) Set up the 16 equally likely cases. (3) Decide when the value is positive. (4) Count. (5) Confirm by independence.
Basics you need
(Chapter 4, Determinants).
4 entries, 2 choices each: determinants. Basics: counting
For independent entries the probability of a combination is the product, so each of the 16 cases has probability (Section 13.4). Lesson: independent events
for equally likely outcomes. Basics: P(E) = n(E)/n(S)
Solution
The value of the determinant
Write the determinant as
where each of is 0 or 1. A product of two such numbers is 1 only when both are 1, and 0 otherwise. So and are each 0 or 1, and the value is , or .
Turning the determinant into a number tells us exactly what "positive" means here: the value must be 1.Determinant of order 2 (Chapter 4).The 16 equally likely determinants
Each entry has 2 possible values, so there are possible determinants. The entries are chosen independently, each value with probability , so each determinant has probability
Independence lets us multiply the four probabilities. All 16 cases come out equal, so we may count: .Mutually independent events multiply (Section 13.4, Remark (iv), extended to four events). Lesson: independent eventsWhen is the value positive?
Let : the determinant is positive. As and are each 0 or 1,
only when and . when at least one of is 0: or .
The other combinations give , or , none of them positive.An event described in words becomes a set of outcomes. Basics: events as setsCount the favourable cases
There is 1 choice for and 3 choices for , so . The three positive determinants have , and . So
All 16 determinants. The rows fix and , the columns fix and , and each cell shows . Only the 3 shaded cells in the bottom row have the value 1. The choice of and the choice of are separate, so the counts multiply.Multiply the choices. Basics: countingThe same answer by independence
needs and , so . is the complement of " and ", so . The two events use different entries, so they are independent, and
"" depends only on and , and "" only on and ; since all four entries are independent, the two events are independent too.for independent events (Section 13.4, Definition 3). Lesson: independent events
The probability that the determinant is positive is . (Textbook answer: .)
Of the 16 determinants, 3 have value 1, 3 have value (the mirror cases with and ), and the other 10 have value 0: . So . The verify script lists all 16 and computes each determinant.
- Counting only . is 0 whenever at least one of is 0; there are 3 such pairs, not 1.
- Including . Its value is , which is not positive.
- Answering . The three values are not equally likely; count the 16 cases.
- Turn the condition into numbers first: here "positive" means and .
- Independent entries with probability each make all cases equally likely, so counting works.
- Events that depend on separate independent entries are independent: .
Every fact used, and where it comes from
| Fact | Used in | Source |
|---|---|---|
| Step 1 | Chapter 4, Determinants | |
| Multiply the choices: | Steps 2, 4 | Counting, Class XI (Basics: counting) |
| Mutually independent events multiply | Steps 2, 5 | Section 13.4, Definition 3 and Remark (iv) (Lesson: independent events) |
| for equally likely outcomes | Step 4 | Class XI, Probability (Basics: classical probability) |
| Step 5 | Class XI axioms (Basics: rules of probability) |
Tell us if something on this page is wrong or unclear, or if you would like a fuller explanation, another method or a new feature. Send feedback on this problem →