stability for 2D crank-nicolson scheme for heat equationWeak solution for Burgers' equationParticular answer to a differential Equation Involving Delta function and Heaviside without LaplaceStability of advection equationLax-Wendroff method for linear advection - Stability analysisCrank-Nicolson for coupled PDE'sUniqueness/stability for heat equations with complicated initial-boundary conditionsCrank Nicolson with variable diffusion coefficient in space and timeIteration step of the Crank–Nicolson schemeUnderstanding a basic scheme for the heat equationCalculating convergence order of numerical scheme for PDEChecking the stability of finite difference schemesStability of numerical scheme for heat equation

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stability for 2D crank-nicolson scheme for heat equation


Weak solution for Burgers' equationParticular answer to a differential Equation Involving Delta function and Heaviside without LaplaceStability of advection equationLax-Wendroff method for linear advection - Stability analysisCrank-Nicolson for coupled PDE'sUniqueness/stability for heat equations with complicated initial-boundary conditionsCrank Nicolson with variable diffusion coefficient in space and timeIteration step of the Crank–Nicolson schemeUnderstanding a basic scheme for the heat equationCalculating convergence order of numerical scheme for PDEChecking the stability of finite difference schemesStability of numerical scheme for heat equation













0












$begingroup$


We have parabolic 2D pde



beginalign*
v_t &= nu (v_xx + v_yy) + F(x,y,t), ; ; ; (x,y) in R, ; t >0 \
v(x,y,t) &= g(x,y,t), ; ; texton ; partial R, ; t>0 \
v(x,y,0) &= f(x,y), ; ; (x,y) in overlineR \
endalign*



We want to study the stability of scheme



beginalign*
left(1 - frac r_x2 delta_x^2 - frac r_y2 delta_y^2 right) u_jk^n+1 &= u_jk^n + frac Delta t2 (F_jk^n + F_jk^n+1 ) + frac r_x 2 delta_x^2 u_jk^n + frac r_y 2 delta_y^2 u_jk^n\
u_0k^n &= g(0,k Delta y, n Delta t ) \
u_M_x k^n &= g(1, k Delta y, n Delta t) \
u_j 0 ^n &= g(j Delta x, 0, n Delta t) \
u_j M_y ^n &= g(j Delta x, 1 , n Delta t) \
endalign*



the Crank-Nicolson scheme. It is supposed to be uncondionally stable. MY question is,



Do we just need to apply discrete von neumann criteria
$$ u_jk^n = xi^n e^ijp pi Delta x + i k q pi Delta y $$



with exclusion of $F$ source term then get and equation for $xi$



so all we need to find is conditions on $r_x, r_y$ that makes $|xi | leq 1$ which is the necessary condition for stability.



IS this correct?










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    We have parabolic 2D pde



    beginalign*
    v_t &= nu (v_xx + v_yy) + F(x,y,t), ; ; ; (x,y) in R, ; t >0 \
    v(x,y,t) &= g(x,y,t), ; ; texton ; partial R, ; t>0 \
    v(x,y,0) &= f(x,y), ; ; (x,y) in overlineR \
    endalign*



    We want to study the stability of scheme



    beginalign*
    left(1 - frac r_x2 delta_x^2 - frac r_y2 delta_y^2 right) u_jk^n+1 &= u_jk^n + frac Delta t2 (F_jk^n + F_jk^n+1 ) + frac r_x 2 delta_x^2 u_jk^n + frac r_y 2 delta_y^2 u_jk^n\
    u_0k^n &= g(0,k Delta y, n Delta t ) \
    u_M_x k^n &= g(1, k Delta y, n Delta t) \
    u_j 0 ^n &= g(j Delta x, 0, n Delta t) \
    u_j M_y ^n &= g(j Delta x, 1 , n Delta t) \
    endalign*



    the Crank-Nicolson scheme. It is supposed to be uncondionally stable. MY question is,



    Do we just need to apply discrete von neumann criteria
    $$ u_jk^n = xi^n e^ijp pi Delta x + i k q pi Delta y $$



    with exclusion of $F$ source term then get and equation for $xi$



    so all we need to find is conditions on $r_x, r_y$ that makes $|xi | leq 1$ which is the necessary condition for stability.



    IS this correct?










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      We have parabolic 2D pde



      beginalign*
      v_t &= nu (v_xx + v_yy) + F(x,y,t), ; ; ; (x,y) in R, ; t >0 \
      v(x,y,t) &= g(x,y,t), ; ; texton ; partial R, ; t>0 \
      v(x,y,0) &= f(x,y), ; ; (x,y) in overlineR \
      endalign*



      We want to study the stability of scheme



      beginalign*
      left(1 - frac r_x2 delta_x^2 - frac r_y2 delta_y^2 right) u_jk^n+1 &= u_jk^n + frac Delta t2 (F_jk^n + F_jk^n+1 ) + frac r_x 2 delta_x^2 u_jk^n + frac r_y 2 delta_y^2 u_jk^n\
      u_0k^n &= g(0,k Delta y, n Delta t ) \
      u_M_x k^n &= g(1, k Delta y, n Delta t) \
      u_j 0 ^n &= g(j Delta x, 0, n Delta t) \
      u_j M_y ^n &= g(j Delta x, 1 , n Delta t) \
      endalign*



      the Crank-Nicolson scheme. It is supposed to be uncondionally stable. MY question is,



      Do we just need to apply discrete von neumann criteria
      $$ u_jk^n = xi^n e^ijp pi Delta x + i k q pi Delta y $$



      with exclusion of $F$ source term then get and equation for $xi$



      so all we need to find is conditions on $r_x, r_y$ that makes $|xi | leq 1$ which is the necessary condition for stability.



      IS this correct?










      share|cite|improve this question









      $endgroup$




      We have parabolic 2D pde



      beginalign*
      v_t &= nu (v_xx + v_yy) + F(x,y,t), ; ; ; (x,y) in R, ; t >0 \
      v(x,y,t) &= g(x,y,t), ; ; texton ; partial R, ; t>0 \
      v(x,y,0) &= f(x,y), ; ; (x,y) in overlineR \
      endalign*



      We want to study the stability of scheme



      beginalign*
      left(1 - frac r_x2 delta_x^2 - frac r_y2 delta_y^2 right) u_jk^n+1 &= u_jk^n + frac Delta t2 (F_jk^n + F_jk^n+1 ) + frac r_x 2 delta_x^2 u_jk^n + frac r_y 2 delta_y^2 u_jk^n\
      u_0k^n &= g(0,k Delta y, n Delta t ) \
      u_M_x k^n &= g(1, k Delta y, n Delta t) \
      u_j 0 ^n &= g(j Delta x, 0, n Delta t) \
      u_j M_y ^n &= g(j Delta x, 1 , n Delta t) \
      endalign*



      the Crank-Nicolson scheme. It is supposed to be uncondionally stable. MY question is,



      Do we just need to apply discrete von neumann criteria
      $$ u_jk^n = xi^n e^ijp pi Delta x + i k q pi Delta y $$



      with exclusion of $F$ source term then get and equation for $xi$



      so all we need to find is conditions on $r_x, r_y$ that makes $|xi | leq 1$ which is the necessary condition for stability.



      IS this correct?







      pde numerical-methods






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Mar 14 at 6:18









      Mikey SpivakMikey Spivak

      382215




      382215




















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