1. Xtra Edge February 2012 - Career Point
1. Xtra Edge February 2012 - Career Point 1. Xtra Edge February 2012 - Career Point
I1 I2 Since I1 is an odd function therefore I1 = 0 π/ 4 I = π/ 4 ∫ – π/ 4 π/ 4 = π/ 4 ∫ 2 1 – π/ 4 π/ 4 dx ⎛ ⎜ 1– tan 2 – ⎜ ⎝1 + tan + ( sec 2 x 2 2 x ⎞ ⎟ x ⎟ ⎠ 2 3 tan x) sec x = 2 π/ 4 ∫ [Q f(x) is even function] 2 2 1 + ( 3 tan x) 0 2 Let 3 tan x = t ⇒ sec 2 dt x dx = 3 dt / 3 = ∫ 2 2 1+ t π 3 0 = ( ) 3 – 1 / 2 3 tan t π = 26. The given lines are → r = ( kˆ î – 2jˆ + 3 ) + t ( kˆ – î + jˆ – 2 ) and → r = ( kˆ î – jˆ – ) + s ( kˆ î + 2jˆ – 2 ) Here → 1 → 2 – 0 2 π a = kˆ î – 2jˆ + 3 ; → b 1 = kˆ – î + jˆ – 2 a = kˆ î jˆ – ; → b = kˆ î + 2 jˆ – 2 b × → b = ∴ → 1 2 î – 1 1 jˆ 1 2 k ˆ – 2 – 2 The S.D. between the gives lines = = → → ( b1× b2 ).( a1 – a 2 ) | b × b | 2 2 1 4 + 12 + 4 2 → 2 2 + 3 → = 8 = 29 2 6 3 = kˆ 2 î – 4 jˆ – 3 k | ˆ k) | 2î – 4jˆ – 3 ˆ k).( jˆ – 4 ˆ ( 2î – 4 jˆ – 3 27. Part I st Let x kg and y kg. of fertilizer A and B be mixed by the farmer. Then LPP is Minimize : C = 5x + 8y subject to the constraints 10 5 x + y ≥ 7 ⇔ 2x + y ≥ 140 100 100 6 10 x + y ≥ 7 ⇔ 3x + 5y ≥ 350 100 100 x ≥ 0, y ≥ 0 y (1) (0, 140)B D XtraEdge for IIT-JEE 100 FEBRUARY 2012 O (50, 40) P A C ⎡350 ⎤ ⎢ , 0⎥ ⎣ 3 ⎦ (2) Draw the lines 2x + y = 140 ..... (1) 3x + 5y = 350 ..... (2) The shaded unbounded region is the feasible region. These line meet at P(50, 40) Now value of c = 5x + 8y ⎡350 ⎤ 1750 1 at C ⎢ , 0⎥ , is = 583 ⎣ 3 ⎦ 3 3 at P(50, 40) is 570 at B(0, 140) is 1120 ∴ The cost is minimum at P(50, 40) This occurs when 50 kg of type & fertilizer and 40 kg of type B fertilizer are mixed to the meet the requirement. Part 2 nd Let x and y represent the number of tables and chairs respectively that the dealer sells and P be the profit of the dealer. Then the required LPP is . Maximize: P = 50x + 15y Subject to the constraints 500x + 200 y ≤ 10,000 ⇔ 5x + 2y ≤ 100 x + y = 60 ....(1) 5x + 2y = 100 .... (2) y D (0, 50) B(0, 60) A(60, 0) x O C (20, 0) (1) (2) A shaded region OCD is the feasible region. Now P = 50x + 15y At O, value of P is O At C, value of P is 50 × 20 = 1,000 At D, value of P is 15 × 50 = 750 ∴ Profit is maximum at C (20, 0) x
28. x x y ∴ x → side of square y → rad. of circle ∴ 4x + 2πy = 36 ..... (1) Now area A = x 2 + πy 2 A = x 2 ⎛18 – 2x ⎞ + π ⎜ ⎟ [From (1)] ⎝ π ⎠ dA 4 = 2x – (18 – 2x) dx π 2 d A = 2 + 8/π > 0 ⇒ min 2 dx m area Form min m dA area = 0 dx 36 ⇒ x = π + 4 18 From (1) , y = π + 4 144 Length of one piece = 4x = π + 4 36π Length of other piece = 2πy = π + 4 1 29. Let = u ; x 2 1 1 = v; = w y z Given equation can be written in form ⎡ 2 3 10 ⎤ ⎡ u ⎤ ⎡4⎤ ⎢ ⎥ ⎢ 4 – 6 5 ⎢ ⎥ ⎥ ⎢ v ⎥ = ⎢ ⎥ ⎢ 1 ⎥ ⎢⎣ 6 9 – 20 ⎥⎦ ⎢⎣ w⎥⎦ ⎢⎣ 2⎥⎦ A ⋅ X = B X = A –1 ⋅ B Adj( A) X = . B, |A| = 1200 | A | X = ⎡ 75 ⎢ ⎢ 110 ⎢⎣ 72 150 – 100 0 1200 75 30 – 24 ⎤ ⎡4⎤ ⎥ . ⎢ 1 ⎥ ⎥ ⎢ ⎥ ⎥⎦ ⎢⎣ 2⎥⎦ ⎡600⎤ ⎡ u ⎤ ⎢ X = ⎢ ⎥ 400 ⎥ ⎡1/ 2⎤ ⎢ v ⎥ = ⎢ ⎥ = ⎢ ⎥ ⎢240⎥ ⎢ 1/ 3 ⎥ ⎢⎣ w⎥ ⎣ ⎦ ⎦ ⎢ ⎥ 1200 ⎣1/ 5⎦ u = 1/2 ⇒ x = 2 v = 1/3 ⇒ y = 3 w = 1/5 ⇒ z = 5 At a Glance Some Important Practical Units 1. Par sec : It is the largest practical unit of distance. 1 par sec = 3.26 light year 2. X-ray unit : It is the unit of length. 1 X-ray unit = 10 –13 m 3. Slug : It is the unit of mass. 1 slug = 14.59 kg 4. Chandra Shekhar limit : It is the largest practical unit of mass. 1 Chandra Shekhar limit = 1.4 × Solar mass 5. Shake : It is the unit of time. 1 Shake = 10 –6 second 6. Barn : It is the unit of area. 1 barn = 10 –28 m 2 7. Cusec : It is the unit of water flow. 1 cusec = 1 cubic foot per second flow 8. Match No. : This unit is used to express velocity of supersonic jets. 1 match no. = velocity of sound = 332 m/sec. 9. Knot : This unit is used to express velocity of ships in water. 1 knot = 1.852 km/hour 10. Rutherford : It is the unit of radioactivity. 1 rutherford (rd) = 1 × 10 6 disintegrations/sec 11. Dalton : It is the unit of mass. 1 12 1 dalton = mass of C = 931 MeV 12 = 1 a.m.u. 12. Curie : It is the unit of radioactivity. 1 curie = 3.7 × 10 10 disintegration / sec XtraEdge for IIT-JEE 101 FEBRUARY 2012
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I1 I2<br />
Since I1 is an odd function therefore I1 = 0<br />
π/<br />
4<br />
I = π/<br />
4 ∫<br />
– π/<br />
4<br />
π/<br />
4<br />
= π/<br />
4 ∫<br />
2<br />
1<br />
– π/<br />
4<br />
π/<br />
4<br />
dx<br />
⎛<br />
⎜<br />
1–<br />
tan<br />
2 –<br />
⎜<br />
⎝1<br />
+ tan<br />
+ (<br />
sec<br />
2<br />
x<br />
2<br />
2<br />
x ⎞<br />
⎟<br />
x ⎟<br />
⎠<br />
2<br />
3 tan x)<br />
sec x<br />
= 2 π/<br />
4 ∫<br />
[Q f(x) is even function]<br />
2<br />
2<br />
1 + ( 3 tan x)<br />
0<br />
2<br />
Let 3 tan x = t ⇒ sec 2 dt<br />
x dx =<br />
3<br />
dt / 3<br />
= ∫ 2 2 1+<br />
t<br />
π 3<br />
0<br />
= ( ) 3 – 1<br />
/ 2 3 tan t<br />
π =<br />
26. The given lines are<br />
→<br />
r = ( kˆ î – 2jˆ<br />
+ 3 ) + t ( kˆ – î + jˆ – 2 )<br />
and →<br />
r = ( kˆ î – jˆ – ) + s ( kˆ î + 2jˆ<br />
– 2 )<br />
Here →<br />
1<br />
→<br />
2 –<br />
0<br />
2<br />
π<br />
a = kˆ î – 2jˆ<br />
+ 3 ; →<br />
b 1 = kˆ – î + jˆ – 2<br />
a = kˆ î jˆ – ;<br />
→<br />
b = kˆ î + 2 jˆ – 2<br />
b × →<br />
b =<br />
∴ →<br />
1<br />
2<br />
î<br />
– 1<br />
1<br />
jˆ<br />
1<br />
2<br />
k ˆ<br />
– 2<br />
– 2<br />
The S.D. between the gives lines<br />
=<br />
=<br />
→<br />
→<br />
( b1×<br />
b2<br />
).( a1<br />
– a 2 )<br />
| b × b |<br />
2<br />
2<br />
1<br />
4 + 12<br />
+ 4<br />
2<br />
→<br />
2<br />
2<br />
+ 3<br />
→<br />
=<br />
8<br />
=<br />
29<br />
2<br />
6<br />
3<br />
= kˆ 2 î – 4 jˆ – 3<br />
k | ˆ<br />
k) | 2î<br />
– 4jˆ<br />
– 3<br />
ˆ k).( jˆ – 4 ˆ ( 2î<br />
– 4 jˆ – 3<br />
27. Part I st<br />
Let x kg and y kg. of fertilizer A and B be mixed by<br />
the farmer. Then LPP is<br />
Minimize : C = 5x + 8y<br />
subject to the constraints<br />
10 5<br />
x + y ≥ 7 ⇔ 2x + y ≥ 140<br />
100 100<br />
6 10<br />
x + y ≥ 7 ⇔ 3x + 5y ≥ 350<br />
100 100<br />
x ≥ 0, y ≥ 0<br />
y<br />
(1)<br />
(0, 140)B<br />
D<br />
<strong>Xtra</strong><strong>Edge</strong> for IIT-JEE 100 FEBRUARY <strong>2012</strong><br />
O<br />
(50, 40)<br />
P<br />
A C<br />
⎡350<br />
⎤<br />
⎢ , 0⎥<br />
⎣ 3 ⎦<br />
(2)<br />
Draw the lines<br />
2x + y = 140 ..... (1)<br />
3x + 5y = 350 ..... (2)<br />
The shaded unbounded region is the feasible region.<br />
These line meet at P(50, 40)<br />
Now value of c = 5x + 8y<br />
⎡350<br />
⎤ 1750 1<br />
at C ⎢ , 0⎥<br />
, is = 583<br />
⎣ 3 ⎦ 3 3<br />
at P(50, 40) is 570<br />
at B(0, 140) is 1120<br />
∴ The cost is minimum at P(50, 40)<br />
This occurs when 50 kg of type & fertilizer and 40<br />
kg of type B fertilizer are mixed to the meet the<br />
requirement.<br />
Part 2 nd<br />
Let x and y represent the number of tables and chairs<br />
respectively that the dealer sells and P be the profit<br />
of the dealer. Then the required LPP is .<br />
Maximize: P = 50x + 15y<br />
Subject to the constraints<br />
500x + 200 y ≤ 10,000 ⇔ 5x + 2y ≤ 100<br />
x + y = 60 ....(1)<br />
5x + 2y = 100 .... (2)<br />
y<br />
D<br />
(0, 50)<br />
B(0, 60)<br />
A(60, 0)<br />
x<br />
O C (20, 0)<br />
(1)<br />
(2)<br />
A shaded region OCD is the feasible region.<br />
Now P = 50x + 15y<br />
At O, value of P is O<br />
At C, value of P is 50 × 20 = 1,000<br />
At D, value of P is 15 × 50 = 750<br />
∴ Profit is maximum at C (20, 0)<br />
x