Problem to shake your mind

Geometry Level 5

If a a is a real constant and A , B A,B and C C are variable angles. They are related to the constraint a 2 13 tan A + a tan B + a 2 + 13 tan C = 6 a \sqrt{a^{2}-13}\tan{A} + a\tan{B} + \sqrt {a^{2}+13}\tan{C} = 6a . Then find minimum positive value of tan 2 A + tan 2 B + tan 2 C \tan^{2}{A} + \tan^{2}{B} + \tan^{2}{C} .


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The answer is 12.00.

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3 solutions

Righved K
Dec 24, 2015

I love cauchy Schwartz inequality! Did by this way ! One of the best questions which was there in vectors set for jee!

How did you do it using cauchy schwartz please explain your solution

neelesh vij - 5 years, 5 months ago

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This vector dot product inequality that u used in your solution is basically an inference of cauchy Schwartz....the reference is present in 12th ncert mathematics book under the section of vectors in one of the examples :D

Righved K - 5 years, 5 months ago

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Can you post your solution? It's not clear how Cauchy Schwartz is applied. Thanks.

Pi Han Goh - 5 years, 5 months ago

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@Pi Han Goh By statement of Cauchy-Schwarz inequality, ( a 2 13 tan A + a tan B + a 2 + 13 tan C = 6 a ) 2 ( a 2 13 + a 2 + a 2 + 13 ) ( c y c t a n 2 A ) (\sqrt{a^{2}-13}\tan{A} + a\tan{B} + \sqrt {a^{2}+13}\tan{C} = 6a)^{2} \le (a^{2}-13 + a^{2} + a^{2}+13)(\sum_{cyc}tan^{2}A) , thus leading to final answer.

Harsh Shrivastava - 4 years, 12 months ago

@Pi Han Goh Actually the inequality- Vector A . Vector B <= |vector A| ×|Vector B| this inequality is itself a cauchy Schwartz inequality....seee this hope this helps..... https://en.m.wikipedia.org/wiki/Cauchy%E2%80%93Schwarz_inequality

Righved K - 5 years, 5 months ago

See how Cauchy Swarz Inequality \color{#D61F06}{\text{Cauchy Swarz Inequality}} is proved using Linear Algebra \color{#3D99F6}{\text{Linear Algebra}} and then compare your solution to the proof . You would find that your solution and the proof are essentially the same.

Aditya Sky - 5 years ago
Neelesh Vij
Dec 24, 2015

Consider vectors X = \overrightarrow{X} = a 2 13 i ^ + a j ^ + a 2 + 3 k ^ \sqrt{a^{2} - 13} \hat{i} + a\hat{j} + \sqrt{a^{2} + 3}\hat{k} and Y = \overrightarrow{Y} = tan A 2 i ^ + tan B 2 j ^ + tan C 2 k ^ \tan{A}^{2}\hat{i} + \tan{B}^{2}\hat{j} + \tan{C}^{2}\hat{k} taking their dot product we get X . Y = X Y cos θ \overrightarrow{X} . \overrightarrow{Y} = |\overrightarrow{X}||\overrightarrow{Y}|\cos{\theta} where θ \theta is the angle between the vectors now evaluating the dot product we get a 2 13 + a 2 + a 2 13 × tan A 2 + tan B 2 + tan C 2 × cos θ = 6 a \sqrt{a^{2} - 13 + a^{2} + a^{2} - 13} \times \sqrt{\tan{A}^{2} + \tan{B}^{2} + \tan{C}^{2}} \times \cos{\theta} = 6a
\longleftrightarrow 3 × a × tan A 2 + tan B 2 + tan C 2 = 6 a sec θ \sqrt{3} \times a \times \sqrt{\tan{A}^{2} + \tan{B}^{2} + \tan{C}^{2}} = 6a \sec{\theta} squaring both sides
tan A 2 + tan B 2 + tan C 2 = 12 sec θ \tan{A}^{2} + \tan{B}^{2} + \tan{C}^{2} = 12 \sec{\theta}
Now we know that sec θ 1 \sec{\theta} \geq 1 so for minimum value we get sec θ = 1 \sec{\theta} = 1 so our minimum value is 12 \boxed{12}
Also it is tan square A not tan A square

Did the same way ! :)

Prakhar Bindal - 5 years, 5 months ago
Ashutosh Sharma
Jan 26, 2018

use cauchy schwatz inequality,becomes lot easier

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