Mathematics Times – July 2019

(Ben Green) #1
apply the Lagrange MVT to the interval

  x,1,1 to get some c x 1  1 ,1 such that

 

 1 
1
,

0
'
1

y x
y c
x



 (4)
The R.H.S. is negative. So there is atleast one
point on  where the negative sign holds for
the R.H.S. of (3). But then because of
continuity, the negative sign holds at all points
of  and so we get
xy'   1 x^2 (5)
at all points of . Hence (B) is true and (D) is
false.
We can now rewrite the differential equation
as

1 2
'

x
y
x


  (6)

and solve it by integrating both the sides.
1 x^2
y dx
x


 


cos^2
sin

d




 


1 sin^2
sin

d





 


 (cosecsin ) d


  ( log (cote cosec ) cos )   c

1 cos
log cos
e sin
c




    
     
   

12.Sol:


2
log^1112
e

x
x c
x

   
   
 

(7)

We are given that the point (1,0) lies on .
Hence c 0. That makes (A) true and (C)
false.
12.Sol: The major importance of the adjoint
adj M of a square matrix M comes from the
following equation.


adjM M M adjM I     (1)

Where is the determinant of M and I is the
identity matrix.
We are given the adjoint of M, but not the
matrix M itself. Two of the nine entries of M
are the unknowns a and b. If we write down
its adjoint, many entires will have these
unknowns. So, the system of nine equations
that would result by equating the corresponding
entries of the unknown and the given
expression for adj M will be a complicated
one to solve. Instead, we use (1). Of course,
multiplying two3 3 matrices fully is not a very
enviable job. But in the present case, note
that the R.H.S. is a diagonal matrix. The
six non-diagonal entires of it are all 0. As there
are only two unknowns In M, we need only
two equations to find them. Fortunately, if we
start multiplying adj M and M by writing

1 1 1 0 1
8 6 2 1 2 3
5 3 1 3 1

a

b

   
    
   
    

     2 1 b a 2  (2)
we need not go any further. the two non-
diagonal entries is the first row of the matrix
on the R.H.S. must vanish. This given
a 2 and b 1. hence (A) is true.

Now that we know the matrix M completely,
viz.
0 1 2
1 2 3
3 1 1

M

 
 
 
 

(3)

we can answer the remaining options by brute
force if necessary. But rarely brute force is
the best method. For example, take (D). Since
M is invertible, (as  0 ), we can find  , ,
 by writing

1

1
2
3

M





   
   
   
     

(4)
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