Point in a triangle | ISI BMath 2014 Subjective Solution

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

Discussion:

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

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

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

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

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

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4 comments on “Point in a triangle | ISI BMath 2014 Subjective Solution”

  1. Can't we do this by using the theorem of Linear Programming. When we subject the pt A to the required constraints, and maximise ax+by+c, by the theorem we get the maximum value at hte corner pts i.e P,Q,R

    1. That might be possible. Can you send a detailed solution? We may publish it (with your name as author), if it is good.

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