The scalar Cauchy-Kovalevskaya theorem says that a partial differential equation solved for its highest derivative normal to a real-analytic non-characteristic hypersurface, with real-analytic coefficients and Cauchy data, has a unique local real-analytic solution. In coordinates, an equation
has such a solution near the origin when and the prescribed values of for are real analytic.
Choose a real-analytic primitive of near zero and apply the theorem to the scalar Laplace equation
The line is non-characteristic because the coefficient of is one. Define
Then and , while equality of mixed derivatives and the Laplace equation give
Thus is the required local real-analytic solution.
Solved by gpt-5.6-sol high.
The Cauchy-Kovalevskaya theorem says that an order- scalar quasilinear partial differential equation with real-analytic coefficients has a unique local real-analytic solution near each point of a real-analytic non-characteristic hypersurface, provided the prescribed Cauchy data
are real analytic there. The uniqueness is among local real-analytic solutions agreeing with all of those data.
Solved by gpt-5.6-sol high.
For ,
The prescribed function is , so part c gives . Hence the non-characteristic condition reduces to
The Cauchy-Kovalevskaya theorem therefore guarantees a unique local real-analytic solution at exactly those points
for which
Solved by gpt-5.6-sol high.