Skip to main content

Physics Library

Free Physics Study Material for CSIR NET, IIT JAM, GATE, JEST & TIFR

by Pravegaa Education

Chapter 14 — Puzzles and Figure Reasoning

Concepts, worked examples and 30 CSIR NET-JRF Part A questions (December 2016 – December 2025) with full solutions. Click Show solution under any question.

Concepts

14.1 Counting arguments

Most puzzles in this chapter look as if they need ingenuity, yet nearly all of them yield to a few counting arguments applied with care. The first is the worst case. When a question asks how many objects must be drawn to guarantee some outcome, we imagine an adversary who supplies the objects in the least helpful order, and we count how long he can delay the outcome. One more object then forces it. In its simplest form this is the pigeonhole principle: if more than \(k\) objects are placed in \(k\) boxes, some box holds at least two. More generally, if \(N\) objects are placed in \(k\) boxes, some box holds at least \(\lceil N/k\rceil\). A bag containing \(r\) red, \(b\) blue and \(g\) green balls, with \(g\ge b\ge r\), must be emptied of \(g + b + 1\) balls before a ball of every colour is certain, because the adversary first hands over all the green and all the blue balls.

The second argument is conservation of a total. If the digits \(1, 2, \dots, 9\) are each written once in a set of cells, their sum is always

\[1 + 2 + \cdots + 9 = \frac{9\times 10}{2} = \boxed{45},\]

so when the sums of some groups of cells are given, the content of the remaining cells follows by subtraction. Statements of the type “all but two are cows” yield to the same idea: if there are \(N\) animals and \(c\) of them are cows, then \(N - c = 2\). Writing one such equation for each kind and adding them gives an equation for \(N\) alone.

The third argument concerns a quantity that changes by a fixed amount at every step. A straight cut through a single piece of chocolate turns one piece into two, so each cut raises the number of pieces by exactly one, and a bar that must end as \(n\) separate pieces needs exactly \(n - 1\) cuts whatever the order. Similarly, every match in a tournament distributes a definite number of points: with 3 points for a win and 1 for a draw, a decisive match gives 3 points in total and a drawn one gives 2. If \(T\) teams each play \(m\) matches, the number of matches is \(Tm/2\), because each match involves two teams, and the total number of points lies between \(2\times Tm/2\) (all draws) and \(3\times Tm/2\) (no draws).

The last counting idea is that of information. A question with a Yes/No answer can at best halve the set of possibilities that remain, so \(n\) such questions can distinguish at most \(2^n\) cases. To identify one of \(N\) equally possible cases we therefore need the least \(n\) with

\[\boxed{2^n \ge N},\]

and this many questions always suffice, by repeatedly asking whether the answer lies in the first half of what is left.

14.2 Logical arrangements

A second family of puzzles asks which arrangements are possible at all. In a round-robin tournament each match produces exactly one winner and one loser (when draws are excluded), so the total number of wins equals the total number of losses, and two teams with no wins at all cannot have met, since one of them would have won that match.

Matching questions are permutations in disguise. If four items in one column are to be paired one-to-one with four items in another, and three pairs are correct, the fourth item of the first column has only one partner left, and that partner is the correct one. Hence exactly \(n - 1\) correct matches out of \(n\) can never occur, while every other score from \(0\) to \(n\) can.

When \(k\) people hold different whole numbers of objects, each at least \(a\), the smallest possible total is \(a + (a+1) + \cdots + (a + k - 1)\). If the actual total exceeds this minimum by only a little, the distribution is nearly forced: an excess of one can be given only to the largest holding, since raising any other holding would make it equal to its neighbour.

A magic square is an \(n\times n\) array whose rows, columns and both diagonals have the same sum \(S\). Any one complete line gives \(S\) at once, and each further line is then a linear equation for the unknown entries. For the numbers \(1\) to \(9\) in a \(3\times 3\) square, \(S = 45/3 = 15\).

Parity is another powerful constraint. A knight on a chessboard moves two squares in one direction and one square in the perpendicular direction, so the sum of its row and column numbers changes by an odd amount (\(\pm1\) or \(\pm3\)) at every move. The colour of its square therefore alternates, and a journey between two squares of the same colour takes an even number of moves. Combined with a distance bound, this often fixes the minimum exactly.

Exam tip. For a “minimum number of moves” question, find a lower bound by an argument (distance, parity or counting) and then exhibit a sequence that attains it. Either half alone does not settle the answer.

14.3 Pouring puzzles

In a pouring puzzle a liquid is moved between ungraduated containers of capacities \(c_1, c_2, \dots\). Since none of the containers is marked, a pouring can stop only when the source is empty or the receiver is full, and every state is described completely by the list of contents. The puzzle is then a search through states, and each pouring is one step.

Continue reading — it's free

Register with your mobile number to unlock the full chapter and all 100+ chapters of the Physics Library.

Register / Login with OTP

Already registered? Use the same button — just verify your number.