Multivariate linear integral equations












1












$begingroup$


In the univariate case, linear integral equations have the form (0):
$$ f(x) = lambda phi(x) - int_a^b K(x,y) phi(y) dy $$
where $ a < x,y < b $ and $K:[a,b]times[a,b] to mathbb R$ is the integral kernel



Could anyone indicate good references (accessible textbooks or papers) discussing the practical and theoretical issues presented by multivariate generalizations? For example (1):
$$ f(mathbf x) = int_a^b K(mathbf x,y) phi(y) dy $$
with $x in mathcal Dsubset mathbb R^n,a<y<b $ and kernel $K:mathcal Dtimes[a,b] to mathbb R$
(note that the second-kind equation would not make sense since $phi$ is univariate)



or (2):



$$ f(mathbf x) = lambda phi(mathbf x) - int_mathcal D K(mathbf x,mathbf y) phi(mathbf y) dmathbf y $$
with $mathbf {x,y} in mathcal D $ and kernel $K:mathcal Dtimesmathcal D to mathbb R$



My personal understanding is that case (2) shares the same Fredholm-Riesz theory as the univariate case (0). I am not so sure about case (1)?










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$endgroup$

















    1












    $begingroup$


    In the univariate case, linear integral equations have the form (0):
    $$ f(x) = lambda phi(x) - int_a^b K(x,y) phi(y) dy $$
    where $ a < x,y < b $ and $K:[a,b]times[a,b] to mathbb R$ is the integral kernel



    Could anyone indicate good references (accessible textbooks or papers) discussing the practical and theoretical issues presented by multivariate generalizations? For example (1):
    $$ f(mathbf x) = int_a^b K(mathbf x,y) phi(y) dy $$
    with $x in mathcal Dsubset mathbb R^n,a<y<b $ and kernel $K:mathcal Dtimes[a,b] to mathbb R$
    (note that the second-kind equation would not make sense since $phi$ is univariate)



    or (2):



    $$ f(mathbf x) = lambda phi(mathbf x) - int_mathcal D K(mathbf x,mathbf y) phi(mathbf y) dmathbf y $$
    with $mathbf {x,y} in mathcal D $ and kernel $K:mathcal Dtimesmathcal D to mathbb R$



    My personal understanding is that case (2) shares the same Fredholm-Riesz theory as the univariate case (0). I am not so sure about case (1)?










    share|cite|improve this question











    $endgroup$















      1












      1








      1





      $begingroup$


      In the univariate case, linear integral equations have the form (0):
      $$ f(x) = lambda phi(x) - int_a^b K(x,y) phi(y) dy $$
      where $ a < x,y < b $ and $K:[a,b]times[a,b] to mathbb R$ is the integral kernel



      Could anyone indicate good references (accessible textbooks or papers) discussing the practical and theoretical issues presented by multivariate generalizations? For example (1):
      $$ f(mathbf x) = int_a^b K(mathbf x,y) phi(y) dy $$
      with $x in mathcal Dsubset mathbb R^n,a<y<b $ and kernel $K:mathcal Dtimes[a,b] to mathbb R$
      (note that the second-kind equation would not make sense since $phi$ is univariate)



      or (2):



      $$ f(mathbf x) = lambda phi(mathbf x) - int_mathcal D K(mathbf x,mathbf y) phi(mathbf y) dmathbf y $$
      with $mathbf {x,y} in mathcal D $ and kernel $K:mathcal Dtimesmathcal D to mathbb R$



      My personal understanding is that case (2) shares the same Fredholm-Riesz theory as the univariate case (0). I am not so sure about case (1)?










      share|cite|improve this question











      $endgroup$




      In the univariate case, linear integral equations have the form (0):
      $$ f(x) = lambda phi(x) - int_a^b K(x,y) phi(y) dy $$
      where $ a < x,y < b $ and $K:[a,b]times[a,b] to mathbb R$ is the integral kernel



      Could anyone indicate good references (accessible textbooks or papers) discussing the practical and theoretical issues presented by multivariate generalizations? For example (1):
      $$ f(mathbf x) = int_a^b K(mathbf x,y) phi(y) dy $$
      with $x in mathcal Dsubset mathbb R^n,a<y<b $ and kernel $K:mathcal Dtimes[a,b] to mathbb R$
      (note that the second-kind equation would not make sense since $phi$ is univariate)



      or (2):



      $$ f(mathbf x) = lambda phi(mathbf x) - int_mathcal D K(mathbf x,mathbf y) phi(mathbf y) dmathbf y $$
      with $mathbf {x,y} in mathcal D $ and kernel $K:mathcal Dtimesmathcal D to mathbb R$



      My personal understanding is that case (2) shares the same Fredholm-Riesz theory as the univariate case (0). I am not so sure about case (1)?







      functional-analysis multivariable-calculus integral-equations






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Nov 4 '18 at 0:52







      phaedo

















      asked Oct 29 '18 at 17:13









      phaedophaedo

      12610




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