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Prove a Tight Lower Bound on a Latin Square's Lower-Triangle Sum

Last updated: Jul 2, 2026

Prove a Tight Lower Bound on a Latin Square's Lower-Triangle Sum

Company: Optiver

Role: Data Scientist

Category: Software Engineering Fundamentals

Difficulty: medium

Interview Round: Technical Screen

Consider an $n \times n$ grid ($n \ge 1$) filled with integers so that every row contains each of the numbers $1, 2, \ldots, n$ exactly once, and every column also contains each of $1, 2, \ldots, n$ exactly once — like a completed Sudoku, but without the sub-box constraint (a Latin square). Let $L$ denote the sum of all entries **on or below the main diagonal**, i.e., the sum over cells $(i, j)$ with $i \ge j$, where $i$ is the row index and $j$ is the column index. Prove that for every such grid $$L \;\ge\; \frac{n(n+1)(n+2)}{6},$$ and show that the bound is tight by exhibiting, for every $n$, a grid that attains it. ```hint Slice the triangle by columns Column $j$ meets the lower-triangular region in exactly $n - j + 1$ cells (rows $j$ through $n$), and those cells hold pairwise distinct values from $\{1, \dots, n\}$. What is the smallest possible sum of $n - j + 1$ distinct values from that set? ``` ```hint The closing summation Summing the per-column minimum over all $n$ columns leaves you adding up $n$ consecutive triangular numbers, $\binom{2}{2} + \binom{3}{2} + \cdots + \binom{n+1}{2}$. There is a standard identity for a running sum of triangular numbers — what family of binomial coefficients does it belong to, and what closed form does it collapse to? ``` ```hint Attaining equality For the bound to be tight, the lower part of column $j$ must hold exactly the set $\{1, \dots, n-j+1\}$ for every $j$ simultaneously. Grids whose rows are successive cyclic shifts of one another are a good family to try. ``` ### Constraints & Assumptions - $n$ is an arbitrary positive integer; the inequality must hold for all $n$. - "On or below the main diagonal" includes the diagonal cells $(i, i)$; the region contains $n(n+1)/2$ cells. - Only the row and column permutation properties are assumed — there is no Sudoku box constraint. - A complete answer proves the inequality and demonstrates a grid achieving equality. ### Clarifying Questions to Ask - Does the lower-triangular region include the main diagonal itself, or only the cells strictly below it? - Is the grid constrained in both directions (every row *and* every column is a permutation), or only one? - Am I asked only to prove the inequality, or also to show that the constant cannot be improved? - Is $n$ arbitrary, or fixed (for example $9$, as in actual Sudoku)? ### What a Strong Answer Covers - A decomposition of the lower-triangular region that reduces the global claim to independent local claims (per column or per row). - Correct use of distinctness: the minimum possible sum of $k$ pairwise distinct values from $\{1, \dots, n\}$, applied to each slice, followed by a clean closed-form summation. - Identifying which of the given constraints the inequality actually relies on, and stating the argument at that level of generality. - An explicit construction achieving equality, with verification both that it is a valid grid and that every per-slice minimum is attained simultaneously. ### Follow-up Questions - What is the corresponding tight lower bound for the region *strictly* below the diagonal, and does your construction still achieve it? - What is the maximum possible value of $L$, and how does it follow from your minimum via a symmetry of Latin squares? - Your proof of the inequality likely never used one of the two permutation constraints — which one, and does the tightness construction still need both? - How does the argument adapt to the region on or below the main anti-diagonal?

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|Home/Software Engineering Fundamentals/Optiver

Prove a Tight Lower Bound on a Latin Square's Lower-Triangle Sum

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Optiver
Mar 21, 2025, 12:00 AM
mediumData ScientistTechnical ScreenSoftware Engineering Fundamentals
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Consider an n×nn \times nn×n grid (n≥1n \ge 1n≥1) filled with integers so that every row contains each of the numbers 1,2,…,n1, 2, \ldots, n1,2,…,n exactly once, and every column also contains each of 1,2,…,n1, 2, \ldots, n1,2,…,n exactly once — like a completed Sudoku, but without the sub-box constraint (a Latin square).

Let LLL denote the sum of all entries on or below the main diagonal, i.e., the sum over cells (i,j)(i, j)(i,j) with i≥ji \ge ji≥j, where iii is the row index and jjj is the column index.

Prove that for every such grid

L  ≥  n(n+1)(n+2)6,L \;\ge\; \frac{n(n+1)(n+2)}{6},L≥6n(n+1)(n+2)​,

and show that the bound is tight by exhibiting, for every nnn, a grid that attains it.

Constraints & Assumptions

  • nnn is an arbitrary positive integer; the inequality must hold for all nnn .
  • "On or below the main diagonal" includes the diagonal cells (i,i)(i, i)(i,i) ; the region contains n(n+1)/2n(n+1)/2n(n+1)/2 cells.
  • Only the row and column permutation properties are assumed — there is no Sudoku box constraint.
  • A complete answer proves the inequality and demonstrates a grid achieving equality.

Clarifying Questions to Ask

  • Does the lower-triangular region include the main diagonal itself, or only the cells strictly below it?
  • Is the grid constrained in both directions (every row and every column is a permutation), or only one?
  • Am I asked only to prove the inequality, or also to show that the constant cannot be improved?
  • Is nnn arbitrary, or fixed (for example 999 , as in actual Sudoku)?

What a Strong Answer Covers

  • A decomposition of the lower-triangular region that reduces the global claim to independent local claims (per column or per row).
  • Correct use of distinctness: the minimum possible sum of kkk pairwise distinct values from {1,…,n}\{1, \dots, n\}{1,…,n} , applied to each slice, followed by a clean closed-form summation.
  • Identifying which of the given constraints the inequality actually relies on, and stating the argument at that level of generality.
  • An explicit construction achieving equality, with verification both that it is a valid grid and that every per-slice minimum is attained simultaneously.

Follow-up Questions

  • What is the corresponding tight lower bound for the region strictly below the diagonal, and does your construction still achieve it?
  • What is the maximum possible value of LLL , and how does it follow from your minimum via a symmetry of Latin squares?
  • Your proof of the inequality likely never used one of the two permutation constraints — which one, and does the tightness construction still need both?
  • How does the argument adapt to the region on or below the main anti-diagonal?
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