Center Manifold for PDE Dynamics: A Concrete Example

Center Manifold for PDE Dynamics: A Concrete Example

Consider the 1-dimensional parabolic problem

ut=uxx+(μ+1)u−u2,u(x,t)∈Hper1(0,2π)×ℝ≥0.

We study the local dynamics near the trivial solution u=μ=0.

Linear Analysis

Write the equation as

ut=Lu+N(u;μ),

where L=∂xx+1 and N(u;μ)=μu−u2. We can find the eigenvalues through the linearization at (u,μ)=(0,0),

Leikx=λkeikx,

yielding the eigenvalues: λk=1−k2,k∈ℤ.

Center Subspace (Ec) The center subspace corresponds to eigenvalues with zero real part (λk=0).

1−k2=0⟹k=±1.

Thus, the center subspace is spanned by the modes eix and e−ix.

Ec=span{eix,e−ix}.

Hyperbolic Subspace (Eh) The hyperbolic subspace corresponds to eigenvalues with non-zero real parts (k≠±1). Therefore, the hyperbolic subspace is spanned by all the other modes.

Eh=span{eikx|k∈ℤ,k≠±1}.

1. Projections

We define the projection operators Pc and Ph onto the center and hyperbolic subspaces, respectively:

The projection operator Pc onto the center subspace Ec for a function u(x), using the standard L2 inner product ⟨f,g⟩=12π∫02πf(x)g‾(x)dx, is given by

Pcu=⟨u,eix⟩eix+⟨u,e−ix⟩e−ix

The projection onto the hyperbolic subspace is the complement: Phu=(I−Pc)u

For convenience, we use the projection acting on the Fourier series of a function f(x)=∑fkeikx throughout this article.

Projection onto Center Subspace (Pc)

Pcf:=f1eix+f−1e−ix

Projection onto Hyperbolic Subspace (Ph)

Phf:=f−Pcf=∑k≠±1fkeikx

2. Substitute the Ansatz

We decompose the solution u onto components on the center and hyperbolic subspaces:

u(x,t)=v(x,t)+w(x,t)

where v∈Ec and w∈Eh, and then substitute it into the PDE:

vt+wt=L(v+w)+μ(v+w)−(v+w)2=Lw+μv+μw−(v2+2vw+w2)

because Lv=0. Here, v and w can be expressed using the amplitude A(t) and the bases of the center and hyperbolic subspaces:

v(x,t)=A(t)eix+A‾(t)e−ix,w(x,t)=∑k≠±1wk(A(t),A‾(t),μ)eikx

We project this equation onto Ec and Eh.

Projection onto Ec:

vt=Pc[μv−v2−2vw−w2]

because the t-derivative does not change the modes of w on the LHS (so Lwt=0), and Pc(Lw)=L(Pcw)=0, Pc(μw)=0 on the RHS. Extracting the coefficient of eix gives the reduced equation with respect to A:

A˙=μA−⟨v2+2vw+w2,eix⟩

Note: This projection produces another reduced equation that involves A‾˙ by collecting the e−ix terms. We are omitting it because it is simply a conjugate copy of the A˙ equation. In general, a center subspace spanned by two generic basis functions would result in a 2-dimensional reduced system.

Projection onto Eh:

wt=Lw+Ph[μv+μw−v2−2vw−w2]

Since Ph(μv)=0 (because v∈Ec), this simplifies to:

wt=Lw+μw−Ph[v2+2vw+w2]

To summarize, we have now computed the reduced equation on Ec up to the first order

A˙=μA+O(|A|2).

Higher Orders

To close the reduced equation at cubic order O(|A|3), we need w at quadratic order O(|A|2). Thus, we can neglect the 2vw and w2 terms in the w-equation as they are of order 3 and 4, respectively. Recall that the reduced Eh equation for w is:

wt−Lw−μw=−Ph(v2)

We expand w in the hyperbolic modes:

w(x)=w0(μ,A,A‾)+w2(μ,A,A‾)e2ix+w−2(μ,A,A‾)e−2ix+…

Now compute each term of the reduced Eh equation.

RHS term Pc(v2):

v2=(Aeix+A‾e−ix)2=A2e2ix+2AA‾+A‾2e−2ix

All terms of v2 are in Eh (modes 0 and ±2). So Pc(v2)=v2.

LHS term wt: Using the chain rule and the fact that w depends on time only through A and A‾:

wt=∂w∂AA˙+∂w∂A‾A‾˙

At leading order, A˙≈μA. (we only need the linear term from the previous section here because w is already second order; higher order corrections to A˙ would push the result to O(|A|4)). Thus,

wt≈μA∂w∂A+μA‾∂w∂A‾

To be very, very precise, we can assume that wk take the form

wk(μ,A,A‾)=∑α,β,γ∈ℤwk,α,β,γμαAβA‾γ

in which case the derivatives ∂w∂A and ∂w∂A‾ becomes explicit. The radius of convergence of this power series is not a concern as the center manifold only makes sense locally.

3: More Substitution and Projections

Assume w0=C0AA‾, w−2=C−2A‾2, and w2=C2A2 for some C0,±2(μ). How do I know that these are all the terms for each wk? In other words, what happens if we include another term in one of the wk’s, say, w0=C0AA‾+C0∗A2? In this case, the e0ix (constant) terms of the equation becomes

C0(A˙A‾+AA‾˙)+2C0∗AA˙⏟Substitite A˙≈μA−(1+μ)(C0AA‾+C0∗A2⏟The only A2 term)=2AA‾

Note that this is the only equation that involves C0 and C0∗ because the linear operator (∂t−L−μ) on the LHS does not change the mode of the input function. The constant term on the RHS only has an AA‾ term in its coefficient and hence forces C0∗=0. This observation enables us to eliminate most of the terms with zero coefficients.

We solve for C0,±2 by matching terms with the same frequencies. Substitute the ansatz into the reduced Eh equation:

(∂t−L−μ)(C−2A‾2e−2ix+C0AA‾+C2A2e2ix)=A2e2ix+2AA‾+A‾2e−2ix

Solve for the Mode k=0:

Substitute w0=C0AA‾:

  1. LHS wt term: Using A˙≈μA, ∂w0∂A=C0A‾, and ∂w0∂A‾=C0A, we have wt≈(μA)(C0A‾)+(μA‾)(C0A)=2μC0AA‾=2μw0
  2. LHS Lw term: Lw0=1⋅w0=w0
  3. RHS: The constant term in −v2 is −2AA‾.

Assemble the equation for w0:

2μw0−w0−μw0=−2AA‾ (μ−1)w0=−2AA‾ w0=21−μAA‾=21−μ|A|2

Solve for the Mode k=2:

Substitute w2=C2A2:

  1. LHS wt term: ∂w2∂A=2C2A,∂w2∂A‾=0 wt≈(μA)(2C2A)=2μC2A2=2μw2
  2. LHS L0w term: Lw2=−3w2
  3. RHS: The e2ix term in −v2 is −A2.

Assemble the equation for w2:

2μw2−(−3w2)−μw2=−A2 (μ+3)w2=−A2 w2=−1μ+3A2

By symmetry (since u is real), w−2=w‾2=−1μ+3A‾2.


4. Assemble the Reduced Equation

Return to the equation for A˙:

A˙=μA−⟨v2+2vw+w2,eix⟩

We analyze the terms inside the bracket that generate the eix mode.

  1. v2: Contains only 0,±2 modes. No resonance.

  2. w2: Although contains resonating terms, it is of order A4. Neglect.

  3. 2vw: This is the interaction term.

    2vw=2(Aeix+A‾e−ix)(w0+w2e2ix+w−2e−2ix)

    The following terms are proportional to eix:

    • 2(Aeix)⋅w0=2Aw0eix
    • 2(A‾e−ix)⋅(w2e2ix)=2A‾w2eix

    Substituting the expressions for w0 and w2 found in the previous step:

    • 2Aw0=2A(21−μAA‾)=41−μA|A|2
    • 2A‾w2=2A‾(−1μ+3A2)=−2μ+3A|A|2

Substitute these back into the A˙ equation:

A˙=μA−(41−μ−2μ+3)A|A|2+O(|A|4)

If we set μ=0, the equation becomes

A˙=μA−103A|A|2+O(|A|4)

For even higher order expansion of this reduced equation, one can repeat the procedure (substitution, projection, and matching coefficients) based on this order 3 expansion.

As a final reminder, (A(t),A‾(t)) is the coordinate in the center subspace spanned by e±ix. So this reduced equation describes the dynamics near the trivial solution (u,μ)=(0,0). Another note is that w should be thought of as the image of v under a smooth The regularity of the center manifold is whole another topic. Refer to the book above for more details. map h, i.e., w=h(v;μ). By inspecting the Taylor expansion of h (suppressing μ for simplicity):

w=h(v)=h(0)⏟=0+Dh(0)⏟=0v+12D2h(0)v2+…
  • The first term vanishes because the center manifold passes through the point u=0.
  • The second term is zero because the center manifold is tangent to the center subspace at u=0. This is why we can assume w is of order O(|A|2) in the calculation.

Reference

Local Bifurcations, Center Manifolds, and Normal Forms in Infinite-Dimensional Dynamical Systems by Mariana Haragus and Gérard Iooss.

Footnotes
  1. The regularity of the center manifold is whole another topic. Refer to the book above for more details.