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I'm reading Jost's Riemannian Geometry and Geometric Analysis and in section 1.6 during the proof of the first step in theorem 1.6.1 it says

Step 1 is a general result from the theory of partial differential equations which follows by linearizing the equation at t = 0 and applying the implicit function theorem in Banach spaces, see §A.3. Therefore, we shall not discuss this here any further.

In appendix A.3

What one can deduce from Theorem A.3.2, however, is the short time existence of solutions when the linearization of the differential operator satisfies the assumptions of that theorem. This follows by linearization and the implicit function theorem.

Could someone provide me a resource for a more detailed way to linearize equation 1.6.2 ($\Gamma_{jk}^i u_s^ju_s^k$)?

For reference, the theorem and related parts are

Theorem statement

First part

Development

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    $\begingroup$ It should be helpful to state the full Theorem, and which Banach spaces are involved: not everybody has immediate access to the reference. $\endgroup$
    – Didier
    Commented Nov 23, 2022 at 14:16
  • $\begingroup$ @Didier, good point, just added $\endgroup$
    – watss
    Commented Nov 23, 2022 at 15:05

1 Answer 1

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Suppose first that the solution you are looking for lives in $\Bbb R^n$ and that you are given the system $$ \begin{cases} \dfrac{\partial u(x,t)}{\partial t} &= F(x,u(x,t)),\\ u(x,0) &= u_0(x). \end{cases} $$ Its linearization around $u_0$ ("at $t=0$") is the equation $$ \dfrac{\partial v(x,t)}{\partial t} = L(x) v(x,t), $$ where $L(x)$ is the linear operator (depending only on $x$) defined by $$ L(x) v(x) = \left.\dfrac{\partial F\left(x,u_0(x)+tv(x)\right)}{\partial t}\right|_{t=0}. $$ We can interpret this latter expression as the Fréchet derivative $L(x) = D_2F_{(x,u_0(x))}$. If you are not looking for a solution in $\Bbb R^n$ but in a manifold, this latter property is used to define the linearization.

In your explicit case, looking at $$ F^i(s,u) = \partial^2_{ss} u^i + \Gamma^i_{jk}(u)\partial_su^j\partial_su^k $$ gives the linearization $$ L^iv = \partial^2_{ss}v^i + \partial_{\ell}\Gamma^i_{jk}(u_0)v^{\ell} \partial_su^j_0\partial_su_0^k + \Gamma^i_{jk}(u_0)\partial_sv^j\partial_su_0^k + \Gamma^i_{jk}(u_0)\partial_su_0^j \partial_sv^k, $$ which is indeed linear in $v$.

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  • $\begingroup$ Thank you very much. Is there any book that cover this process or have more examples ? $\endgroup$
    – watss
    Commented Nov 23, 2022 at 23:31
  • $\begingroup$ @watss Quoting Jost, at the end of Appendix A.3: "A reference for parabolic differential equations and systems is Linear and quasilinear equations of parabolic type, Ladyzhenskaya, Solonnikov and Ural’ceva. For a textbook treatment, we refer to Partial differential equation, Jost." $\endgroup$
    – Didier
    Commented Nov 24, 2022 at 8:22

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