Extract spectral invariants
What does the Toda Lax equation tell us about conserved quantities? You will turn into a proof that traces of powers are constant, then compute the three-particle characteristic polynomial from three such traces. The result identifies conserved spectral data; independence and Poisson commutativity remain separate questions.
Required background. Construct and check the matrices in Build the Toda Lax pair. You should be able to multiply small matrices. The entry repair explains the trace identity used below.
Helpful background. The Lax-equation reference summarizes the finite-matrix argument and its scope.
Conserved traces of the Toda matrix
Section titled “Conserved traces of the Toda matrix”Use the dimensionless finite open chain with real canonical , , and . The symmetric matrix has diagonal and nearest off-diagonal entries . Its skew partner has and . The previous lesson established with the missing bonds .
For every positive integer , define
Here the trace is the sum of the diagonal entries. For , we will use the names
The factor is part of the definition, so means , not . The finite Toda characteristic polynomial as a source of constants of motion appears in Moser 1975, § 2, p. 473, equation (2.8), PDF; the normalization above is the one used in this course.
Entry check and repair
Section titled “Entry check and repair”
For
compute , , and their traces. Are equal traces sufficient to conclude that the two matrices are equal?
Repair. and . Each has trace , but the matrices differ. More generally, for finite square matrices,
Repeated use gives the cyclic rule . This permits cyclic rotations inside a trace, not arbitrary rearrangements of factors.
Why the traces are conserved
Section titled “Why the traces are conserved”The derivative of a matrix power must initially retain every factor order:
After taking the trace, cyclicity makes all terms equal. Therefore
Insert the Lax equation:
We used neither nor . Those equalities generally fail. The argument applies to differentiable finite matrices satisfying the stated Lax equation; infinite-dimensional operator traces need additional hypotheses and are outside this calculation.
Compute the first three invariants
Section titled “Compute the first three invariants”For three particles,
The first trace gives
Each off-diagonal square occurs twice in , so
This is exactly the Hamiltonian because . For the cubic trace, set and . Direct multiplication gives
Summing and dividing by three yields
The mixed terms matter. The sum of momentum cubes alone is not generally conserved by the interacting chain.
A worked spectrum
Section titled “A worked spectrum”At and , the initial matrix is
Thus and . The cubic formula gives : the momentum-cube contribution vanishes, and the two bond contributions are and .
For an arbitrary three-particle state, expansion of the determinant gives
At the initial state this becomes
The eigenvalues are , , and . They remain the spectrum along this exact Toda trajectory even though the matrix entries change. In the guided exercise you will show that determine all three characteristic-polynomial coefficients, making that conclusion independent of any numerical diagonalization.
The values at this state do not say that and are the same function, or that their gradients vanish. Also, a fixed spectrum does not specify all positions and momenta along a trajectory.
Exercises
Section titled “Exercises”
Guided practice: recover the characteristic polynomial
Section titled “Guided practice: recover the characteristic polynomial”Let the eigenvalues be . Write
Use , , and to derive
Begin by expanding . For the cubic step, use
Explain why conservation of these traces fixes the spectrum as a multiset, including multiplicities.
Independent practice: two routes to one polynomial
Section titled “Independent practice: two routes to one polynomial”Use the unequal-bond state and . Calculate and obtain from the formulas above. Independently expand and compare all coefficients. What is ? Is the conserved cubic trace equal to that determinant?
Changed setting: a moving scalar shift
Section titled “Changed setting: a moving scalar shift”Let satisfy the original Lax equation and let be a differentiable real function. Define a new matrix
Find and determine whether it still equals . Compute and . Explain what happens to individual eigenvalues and their pairwise differences when changes in time. How does the answer change if is constant?
Polynomial coefficients. The cross terms in are twice . Substitute the resulting into the supplied cubic identity and solve for .
Unequal bonds. The two mixed contributions to are and . The constant coefficient of is for a matrix.
Scalar shift. The identity matrix commutes with . If , compute for the same nonzero vector .
Solutions and checks
Section titled “Solutions and checks”
Polynomial coefficients
Section titled “Polynomial coefficients”Expansion gives , hence . In the cubic identity,
Consequently , and
Every coefficient is a function of conserved quantities. The polynomial is therefore constant in time, so its roots, counted with their multiplicities, are unchanged. This is isospectrality. It is not yet a calculation of Poisson brackets between the conserved quantities.
Unequal bonds
Section titled “Unequal bonds”The invariant values are
Thus and . The resulting polynomial is
Direct expansion of the matrix
gives
The determinant is , which differs from . Both are conserved functions, related by . They agree when , but that special equality must not be used at a general state.
Scalar shift
Section titled “Scalar shift”Differentiating the new matrix gives
The extra term vanishes identically only when is constant. The shifted traces are
and their derivatives are and , respectively. They are not generally constant. For example, at the course’s initial invariant values and with , they become and .
Each eigenvalue becomes , so its differences from the other eigenvalues stay fixed. Conserved spectral gaps alone do not imply an unchanged spectrum. If is constant, the shifted matrix again obeys the homogeneous Lax equation and all its traces are conserved.
Check your understanding
Section titled “Check your understanding”You should now be able to prove trace conservation, identify the Hamiltonian among the traces, and reconcile trace invariants with characteristic-polynomial coefficients. Cyclicity is the key algebraic step; it does not let you commute matrices outside a trace.
Continue to test independence and Poisson commutativity. That lesson supplies the missing checks between isospectral evolution and Liouville integrability.