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File: Matrix Calculus Pdf 171302 | Mathematics Iii
mathematics paper iii linear algebra and vector calculus linear algebra unit 1 vector spaces vector spaces general properties vector subspaces algebra linear combinatons of vectors linear span linear sum of ...

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                                                        MATHEMATICS PAPER III            
                                             LINEAR ALGEBRA and VECTOR CALCULUS                                           
                                                                                                                          
                      Linear Algebra                                                                                      
                        Unit - 1                                                                                          
                                         Vector Spaces                                                                    
                                         Vector Spaces - General Properties                                               
                                         Vector Subspaces - Algebra                                                       
                                         Linear Combinatons of vectors                                                    
                                         Linear span                                                                      
                                         Linear sum of two subspaces                                                      
                                         Linear dependence and Linear Independence of vectors                             
                                         Basis of vector space                                                            
                                         Finite dimensional vector spaces                                                 
                                         Dimension of vector spaces, vector subspaces                                     
                                         Linear Transformations and Linear Operators                                      
                                         Null Space and Range of linear transformation                                    
                                         Rank and Nullity of linear transformation                                        
                                         Linear Transformations as vectors                                                
                                         Product of Linear Transformations                                                
                                         Invertible linear transformations                                                
                                         The Matrix Representation of a Linear Transformation                             
                                                                                                                          
                        Unit - 2                                                                                          
                                         The adjoint or transpose of a Linear Transformation                              
                                         Sylvester's law of Nullity                                                       
                                         Characteristic values and Characteristic vectors                                 
                                         Cayley-Hamilton Theorem                                                          
                                         Diagonalizable Operators                                                         
                                         Inner Product Spaces                                                             
                                         Euclidean and unitary spaces                                                     
                                         Norm or length of a vector                                                       
                                         Schwartz Inequality                                                              
                                         Othogonality                                                                     
                                         Orthonormal set, Complete Orthonormal set                                        
                                         The Gram-Schmidt Orthogonalization Process                                       
                                                                                                                          
                      (Linear Algebra by 1.J.N.Sharma and A.R.Vasista, Krishna Prakasham Mandir, Meerut-250002.) 
                      (Linear Algebra by 2.Kenneth Hoffman and Ray Kunze, Pearson Education, New Delhi.)                  
                      (Linear Algebra by 3.Stephen H.Friedberg and others, published by Prentice-Hall International, Inc.) 
                                                                                                                          
                      Multiple Integrals and Vector Calculus                                                              
                        Unit - 3                                                                                          
                                         Multiple Integrals                                                               
                                         Introduction, the concept of a plane, curve                                      
                                         Line Integrals - Sufficient condition for the existence of the integral          
                                         The area of a subset of R²                                                       
                                         Calculation of double integrals                                                  
                                         Jordan curve, Area                                                               
                                         Change of the order of the integration                                           
                                         Double integral as a limit                                                       
                                                        Change of a variable in double integration                                                                      
                                                        Lengths of curves                                                                                               
                                                        Surface Areas                                                                                                   
                                                        Integral expression for the length of a curve                                                                   
                                                                                                                                                                        
                              A Course of Mathematical Analysis by Shanti Narayana and P.k.Mittal, S.Chand Pub.- Chapters 16 & 17. 
                                                                                                                                                                        
                                Unit - 4                                                                                                                                
                                                        Vector Calculus                                                                                                 
                                                        Vector Differentiation                                                                                          
                                                        Ordinary derivatives of vectors                                                                                 
                                                        Space curves                                                                                                    
                                                        Continuity and Differentiability                                                                                
                                                        Gradient                                                                                                        
                                                        Divergence                                                                                                      
                                                        Curl Operators                                                                                                  
                                                        Formulae involving these operators                                                                              
                                                        Vector Integration                                                                                              
                                                        Theorems of Gauss and Stokes                                                                                    
                                                        Greens theorem in plane                                                                                         
                                                        Aplications of these theorems                                                                                   
                                                                                                                                                                        
                              1.Vector Analysis by Murray. R.Spiegel, Schaum Series Pub. Com. Chapters - 3,4,5,6 & 7                                                    
                              2.Mathematical Analysis by S.C.Mallik and Savitha Arora, Wiley Eastern Ltd.                                                               
                               
                                         PAPER III PRACTICAL QUESTION BANK 
                              Time : 3 hours                                                                                                     Marks : 
                              50 
                              UNIT-I (LINEAR ALGEBRA-I) 
                              1)Let V be the set of all pairs (x,y) of real numbers and let F be the field of real numbers. 
                                                                                                          
                                Define:  , +  ,                = + ,0 &  
 , = 
,0 .Is  V with these operations a  
                                                                              
                                vector space over the field of real numbers? 
                              2)Is the set of all polynomials in x of degree ≤2   a  vector  space ? Justify. 
                              3) Let R be the field of real numbers. Which of the following are subspaces of  
 (R) 
                                                                                                                                             
                                 (i){ ,2,3 :,, ∈ } (ii) 
                                                                   
                               ,, : ∈ }(iii)){ ,, :,,    !"#}                                             '
                              4) Which of the following sets of vectors $ =  , , ,…….   in   are subspaces of 
                                    '                                                                 %               '
                                    (n ≥ 3? (i) all$ s.t  ≤ 0(ii) all$ s.t   is an integer 
                                                                                            
                                                 (iii) all$ s.t    + + +....+ =) ( k is  a given constant). 
                                                                       %                    '
                              5) LetV= and W be the set of all ordered triads (x,y,z) such that  − 3 + 4 = 0 
                                  Prove that W is a subspace of  . 
                              6) In the vector space ,determine whether or not the vector (3,9,-4,2) is a linear 
                              combination  
                                 of the vectors (1,-2,0,3),(2,3,0,-1) and (2,-1,2,1).                                  ,
                              7)Determine whether the vector (3,-1,0,-1) in the subspace of   spanned by the vectors  
                              (2,-1,3,2), (-1,1,1,-3) and (1,1,9,-5). 
                              8)Find whether the following sets are linearly dependent or independent: 
                                                                                        1      −2 −1 1
                              a) {(1,1,-1), (2,-3,5), (-2,1,4)}  of   b)-.                         0,.              01of2        (R) 
                                                                                        −1       4        2      −4           %3%
                              9) Determine whether the following vectors form basis of the given vector spaces 
                       a) (2,1,0), (1,1,0), (4,2,0) of b)  % + 3 − 2 , 2% + 5 − 3 , −% − 4 + 4of5  
                       10) a) Show that the vectors (2,1,4), (1,-1,2), (3,1,-2) form the basis of             % 
                             b) Determine whether or not the vectors : (1,1,2), (1,2,5), (5,3,4) form a basis of  . 
                                                                                           
                       11) Let V= and W be the subspace of    given by 6 = { ,, : − 3 + 4 = 0}. 
                       Prove                         
                             that Wis a subspace of  and  find its dimension.                             
                       12)Let F be the field of complex numbers and let T be function from 7   7  defined by  
                       T( , ,  =  − +2 , 2 + − ,   − −2 .Verify that T is linear  
                             %               %                %                  %
                       transformation  anddescribe the null space of T. 
                       13) Show that the mapping 8:%−→  defined as T(a,b)=(a-b,  b-a,  -a) is a linear  
                             transformation from %   .Find the Range ,Rank,Nullspace and Nullity  of T. 
                       14) Let F be a subfield of complex numbers and let T  from 7 7 defined by 
                            T(a,b,c)= (a-b+2c,  2a+b,  -a-2b+2c ) s.t T is a L.T find also the Rank and Nullity of T. 
                       15) Let 8:−→  be the linear transformation defined by T(x,y,z)=( x+2y-z,  y+z,  x+y-2z 
                       ) 
                             Find a basis and dimension of (i) the Range of T (ii) the Nullspace of T 
                       16)Describe explicitly theL.T.  8:%−→ % such that T(2,3)=(4,5) and T(1,0)=(0,0). 
                       17) Let 8  and 8  be two linear operators defined on  
 (R) by 8 (a,b,c)=(a+b,  2b,  2b-a ) 
                                        %                                                  
                             8 (a,b,c)=(3a, a-b,  2a+b+c ) for all (a,b,c ) ∈ 
 (R)   show that 8 8  ≠8 8  
                            %                                                                   %     %   
                       18)Show that the operator T on   defined by T(x,y,z)=(x+z,  x-z,  y ) is invertible and find  
                            similar rule defining  8;.      
                       19)Let T be the linear operator on  defined by  
                       T( , , ) = (3 + ,−2 + ,− +2 4 ) What is the matrix ofT in the ordered      
                             %                          %           %<   
                             basis  {$ ,$ ,$ } where $ =(1,0,1) $ =(-1,2,1) and $ =(2,1,1)? 
                                       %                         %                
                                                                  
                       20) Find the matricesof the L.T. T on
  defined as T(a,b,c)=(2b+c, a-4b, 3a) w.r.tstandard  
                                                                                          >
                              ordered basis B={(1,0,0),(0,1,0),(0,0,1)},and orderedbasis= .={(1,1,1),(1,1,0),(1,0,0)} 
                        
                       UNIT-II(LINEAR ALGEBRA-II) 
                       21) Find all (complex) proper values and proper vectors of the following matrices 
                              0 1       1 1
                              a).   0b).      0 
                              0 0       0                    
                       22) Let T be the linear operator on   which is represented in the standard ordered basis by 
                       the     −9 4 4
                       matrix?              D. Prove that T  is diagonalizable.     
                               −8 3 4
                               −16 8 7                              1    1
                       23)a) Determine whether the matrix A= .             0similar over the field R to a diagonal 
                       matrix?                                     −1 1
                               Is A similar over the field C to a diagonal matrix? 
                                               1 2
                             b) P.T matrix A= .     0 is not diagonalizable over the field C. 
                                               0 1                                                0 0 

                       24) Show that the characteristic equation of the complex matrix E = ?1         0 "D  is 
                                                             −%−"−
=0.                       0 1 
                       25) Find all the eigenvalues  andeigen vectors of the matrix E = ?3       2 4D 
                                                                                             2 0 2
                                                                                             4 2 3
                          26) Find eigenvalues  andeigen vectors of the matrix E = ? 5                     −6 −6D 
                                                                                                    −1      4       2
                                                                                                     3     −6 −4
                          27) Show that the distinct eigenvectors of a matrix E  corresponding to distinct eigen values 
                          of        E are linearly independent. 
                          28) If $,F are vectors in an inner product space 
7  and a,b∈F , then prove that: 
                                  ‖           ‖%      | |%‖ ‖%         I                       | |%‖ ‖%
                                 i) $ + "F       =        $     +" $,F +I" F,$ + "                    F  
                                 ii)$,F = ‖$ + F‖% − ‖$ − F‖%. 
                                                  ,                 ,
                          29) Prove that if  $,F are vectors in an unitary space then  
                                               ‖        ‖%     ‖        ‖%      ‖         ‖%      ‖         ‖%
                                 (i) 4 $, F   = $+F − $−F + $+F − $−F . 
                                                                      
                                 (ii)  $, F  = $,F + $,F  
                                                                  ‖         ‖    ‖ ‖      ‖ ‖
                          30) If in an inner product  space $ + F             = $ + F , then prove that the vectors $,F  are  
                                 Linearlydependent. Give an example to show that the converse of this statement is false. 
                          31) If  $ =  ,   ,…..,  ,F = " " "  ,…….."  )  ∈ 
  then prove that : 
                                               %           '              %              '         '
                                ($, F =  " +  " +  " +……..+ " . defines an inner product on
 . 
                                                  % %                   ' '                                        '
                          32) If  $ =  ,         , F = " ,"  ∈ 
  . Define :  ($,F =  " − " − " +4 "  
                                               %               %        %                                       %         %       % %
                                 Show that all the postulates of an inner product hold good. 
                          33)Let V(C)be the vector space of all continuous complex-valued functions on the unit 
                          interval,                                                                  IIIIII
                                   0≤  ≤ 1.If  f(t),g(t) ∈ V,let us define :JK  ,L  M = N K  LP.  Show that all 
                          the                                                                          O
                                 postulates of an inner product hold good. 
                          34) Determine whether the following define an inner product in 
 : 
                                                                                                          %
                                      ($, F = 2  + 5  given by $ =  ,                  , F =  ,  
                                                            % %                         %             %                           
                          35) Apply Gram-Schmidt process to the vectors F = 1,0,1 ,F = 1,0,−1  F = 0,3,4  
                                                                                                         %                   
                                  To obtain an orthonormal basis for 
  with the standard inner product. 
                                                                              
                          36) Prove that the vectors $P F  in a real inner product space are orthogonal if and only if  
                          ‖$+F‖%=‖$‖%+‖F‖% . 
                          37) Prove that two vectors $P F  in a complex  inner product space are orthogonal if and 
                          only   ‖              ‖%     ‖     ‖%    ‖     ‖%
                                 If   $ + "F       = $ + "F for all pairs of scalars a and b. 
                           
                           
                          38) a) Find a vector of unit length which is orthogonal to the vector $ =(2,-1,6) of 
  
                          with                                                                                                     
                                  respect to the standard inner product. 
                                 b) Find two mutually orthogonal  vectors each of which is orthogonal to the vector: 
                                    $ =(4,2,3) of 
  with  respect to the standard inner product. 
                                                    
                          39)  Let V be a finite-dimensional inner product space and let { $ ,$ ,………$ } be an  
                                orthonormal basis for V. Show that for any vectors $,F  in                     %            '
                                         '          IIIIIIII
                          V, $,F =∑              $,$ F,$ . 
                                           RS        R        R
                          40) Given the basis (2,0,1),(3,-1,5) and (0,4,2) for 
 , construct from it by the Gram-
                          Schmidt                                                          
                                 process an orthonormal basis relative to the standard inner product. 
                          UNIT-III (MULTIPLE INTEGRALS)  %                             %                            
                          41)Evaluate the following integral:             + PP over [ 0,;0," ] 
                                                                      ∬3;X
                          42)Evaluate the following integral:                 PPover [0,1;0,1]. 
                                                      Y   Y           ∬3
						
									
										
									
																
													
					
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...Mathematics paper iii linear algebra and vector calculus unit spaces general properties subspaces combinatons of vectors span sum two dependence independence basis space finite dimensional dimension transformations operators null range transformation rank nullity as product invertible the matrix representation a adjoint or transpose sylvester s law characteristic values cayley hamilton theorem diagonalizable inner euclidean unitary norm length schwartz inequality othogonality orthonormal set complete gram schmidt orthogonalization process by j n sharma r vasista krishna prakasham mandir meerut kenneth hoffman ray kunze pearson education new delhi stephen h friedberg others published prentice hall international inc multiple integrals introduction concept plane curve line sufficient condition for existence integral area subset calculation double jordan change order integration limit variable in lengths curves surface areas expression course mathematical analysis shanti narayana p k mitta...

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