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Point in a triangle | ISI BMath 2014 Subjective Solution

Let PQR be a triangle. Take a point A on or inside the triangle. Let f(x, y) = ax + by + c. Show that \mathbf { f(A) \le \max { f(P), f(Q) , f(R)} }

Discussion:

Basic idea is this: First we take A on a side, say PQ. We show \mathbf { f(A) \le \max { f(P), f(Q) } \implies f(A) \le \max { f(P), f(Q) , f(R)} }
Next we take A in the interior. Lets join RA and produce it to meet PQ at T. Using the previous argument we show \mathbf { f(A) \le \max { f(T), f(R) } \text{but} f(T) \le max { f(P), f(Q) } \implies f(A) \le \max { f(P), f(Q) , f(R)} }

Hence it is sufficient to show for a point A on the line PQ (and the rest will follow):

Let \mathbf { A = (x, y), P = (x_p , y_p) , Q = (x_q, y_q) } Since A is on PQ, it is possible to write \mathbf { x = \frac{m x_p + n x_q }{ m+n} , y = \frac{ m y_p + n y_q} {m+n}, m,n in \mathbb{R}^{+} }

Suppose f(A) is larger than both f(P) and f(Q). Then f(A) - f(P) and f(A) - f(Q) are both positive.

Let \mathbf { \lambda_1 = \frac{m}{m+n} , \lambda_2 = \frac{n}{m+n} implies \lambda_1 + \lambda_2 = 1 }

\mathbf { f(A) - f(P) = ax+by+c - ax_p - by_p -c = a(x-x_p) + b(y - y_p) = \newline a(\lambda_1 x_p + \lambda_2 x_q - x_p) + b (\lambda_1 y_p + \lambda_2 y_q - y_p) }
\mathbf {\implies f(A) - f(P) = a(\lambda_2 x_q - (1-\lambda_1) x_p) + b(\lambda_2 y_q - (1-\lambda_1) y_p) = a \lambda_2 (x_q - x_p) + b \lambda_ 2 (y_q - y_p) }
Similarly we can show \mathbf { f(A) - f(Q) = a \lambda_1 (x_p - x_q) + b \lambda_1 (y_p - y_q) }
\mathbf { f(A) - f(Q) = \frac{-\lambda_2}{\lambda_1} (f(A) - f(P) ) }
Hence f(A) - f(Q) and f(A) - f(P) are opposite signs. The conclusion follows.

Some Useful Links:

ISI CMI Entrance Program

Limit of square roots – Video

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