Monge arrays
An m × n array A of real numbers is a Monge array if for all i, j, k, and l such that 1 ≤ i<k ≤ m and 1 ≤ j<l<n, we have
A[i,j] + A[k,l] ≤ A[i,l] + A[k,j].
In other words, whenever we pick two rows and two columns of a Monge array and consider the four elements at the intersections of the rows and the columns, the sum of the upper-left and lower-right elements is less or equal to the sum of the lower-left and upper-right elements. For example, the following array is Monge:
10 | 17 | 13 | 28 | 23 |
17 | 22 | 16 | 29 | 23 |
24 | 28 | 22 | 34 | 24 |
11 | 13 | 6 | 17 | 7 |
45 | 44 | 32 | 37 | 23 |
36 | 33 | 19 | 21 | 6 |
75 | 66 | 51 | 53 | 34 |
a. Prove that an array is Monge if and only if for all i = 1,2,…, m - 1 and j = 1,2,…, n - 1, we have
A[i, j] + A[i + 1, j + 1] ≤ A[i, j + 1] + A[i + 1, j].
(Hint: For the “only if” part, use induction separately on rows and columns.)
b. The following array is not Monge. Change one element in order to make it Monge. (Hint: Use part (a).)
37 | 23 | 22 | 32 |
21 | 6 | 7 | 10 |
53 | 34 | 30 | 31 |
32 | 13 | 9 | 6 |
43 | 21 | 15 | 8 |
c. Let f(i) be the index of the column containing the leftmost minimum element of row i. Prove that f(l) ≤ f (2) ≤…<f(m) for any m × n Monge array.
d. Here is a description of a divide-and-conquer algorithm that computes the leftmost minimum element in each row of an m × n Monge array A:
Construct a submatrix A' of A consisting of the even-numbered rows of A.
Recursively determine the leftmost minimum for each row of A'. Then compute the leftmost minimum in the odd-numbered rows of A.
Explain how to compute the leftmost minimum in the odd-numbered rows of A (given that the leftmost minimum of the even-numbered rows is known) in O(m + n) time.
e. Write the recurrence describing the running time of the algorithm described in part (d). Show that its solution is O(m + n log m).
We need at least 10 more requests to produce the solution.
0 / 10 have requested this problem solution
The more requests, the faster the answer.