If a is a real constant and A , B and C are variable angles. They are related to the constraint a 2 − 1 3 tan A + a tan B + a 2 + 1 3 tan C = 6 a . Then find minimum positive value of tan 2 A + tan 2 B + tan 2 C .
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How did you do it using cauchy schwartz please explain your solution
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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
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Can you post your solution? It's not clear how Cauchy Schwartz is applied. Thanks.
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@Pi Han Goh – By statement of Cauchy-Schwarz inequality, ( a 2 − 1 3 tan A + a tan B + a 2 + 1 3 tan C = 6 a ) 2 ≤ ( a 2 − 1 3 + a 2 + a 2 + 1 3 ) ( ∑ c y c t a n 2 A ) , thus leading to final answer.
@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
See how Cauchy Swarz Inequality is proved using Linear Algebra and then compare your solution to the proof . You would find that your solution and the proof are essentially the same.
Consider vectors
X
=
a
2
−
1
3
i
^
+
a
j
^
+
a
2
+
3
k
^
and
Y
=
tan
A
2
i
^
+
tan
B
2
j
^
+
tan
C
2
k
^
taking their dot product we get
X
.
Y
=
∣
X
∣
∣
Y
∣
cos
θ
where
θ
is the angle between the vectors now evaluating the dot product we get
a
2
−
1
3
+
a
2
+
a
2
−
1
3
×
tan
A
2
+
tan
B
2
+
tan
C
2
×
cos
θ
=
6
a
⟷
3
×
a
×
tan
A
2
+
tan
B
2
+
tan
C
2
=
6
a
sec
θ
squaring both sides
tan
A
2
+
tan
B
2
+
tan
C
2
=
1
2
sec
θ
Now we know that
sec
θ
≥
1
so for minimum value we get
sec
θ
=
1
so our minimum value is
1
2
Also it is tan square A not tan A square
Did the same way ! :)
use cauchy schwatz inequality,becomes lot easier
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I love cauchy Schwartz inequality! Did by this way ! One of the best questions which was there in vectors set for jee!