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Nonnegative monotone ground vector of the history path

Statement

Let N≥1, s∈[0,1], a=1−s, t=s/2, and let LN be the graph Laplacian of the path with vertices 0,1,…,N. Define the clock matrix H0(s)=a diag⁡(0,1,…,N)+tLN. For each s∈[0,1], its smallest eigenvalue is simple and has a normalized nonnegative eigenvector v(s)=(v0,…,vN) satisfying v0≥v1≥⋯≥vN≥0. For s>0 the vector is strictly positive; at s=0 it is e0 and its tail coordinates are zero. At s=1 it is the uniform vector.

For a path produced by Five-local history-state adiabatic path, set W0=I, Wℓ=Uℓ⋯U1 and ηℓ=Wℓ∣0n⟩⊗∣cℓ⟩. The all-zero-input history sector S0=span⁡{η0,…,ηN} is invariant under H(s), and its restriction has matrix H0(s) in this orthonormal history basis.

Facts & Assumptions

Given: The unary clock and linear interpolation from Five-local history-state adiabatic path.

[F1]

A finite-dimensional self-adjoint operator has an orthonormal eigenbasis with real eigenvalues (Complex spectral theorem: a normal endomorphism of a finite-dimensional complex inner product space has an orthonormal eigenbasis, and conversely).

Proof

1.1givenF1algebra

For the constructed path, the vectors ηℓ are orthonormal because the prefixes Wℓ are unitary and the clock states are orthonormal. The clock penalty vanishes on them. The input penalty annihilates η0 because its data input is ∣0n⟩, and annihilates ηℓ for ℓ>0 because the first clock bit is 1. Also Hclock0ηℓ=ℓηℓ. Each propagation term hℓ sends ηℓ−1 to (ηℓ−1−ηℓ)/2 and ηℓ to (ηℓ−ηℓ−1)/2, and annihilates the other history basis vectors, since Wℓ=UℓWℓ−1. Thus S0 is invariant and the restricted matrix is adiag⁡(0,1,…,N)+tLN. For every N≥1, the quadratic form of this abstract matrix at x is a∑i=0Ni∣xi∣2+t∑i=0N−1∣xi−xi+1∣2, so both summands are positive semidefinite.

2.1step 1.1algebra

If s=0, then H0(0)=diag⁡(0,1,…,N) and its unique normalized nonnegative ground vector is e0. If s=1, then H0(1)=LN/2; its quadratic form is one half the sum of squared adjacent differences, so its kernel consists exactly of constant vectors, giving the stated uniform ground vector.

2.2F1step 1.1algebra

Suppose 0<s<1, so a,t>0. The matrix is real symmetric with neighboring off-diagonal entries −t. By [F1], a complex eigenvector for the smallest eigenvalue exists; its real or imaginary part is a nonzero real eigenvector because the matrix and eigenvalue are real. Normalize that real eigenvector. Expanding any vector in the eigenbasis from [F1] shows its Rayleigh quotient is a weighted average of the eigenvalues, so this real eigenvector minimizes the quotient. Replacing its coordinates by their absolute values does not increase the Rayleigh quotient, since each edge contribution is t(xi−xi+1)2 and (∣xi∣−∣xi+1∣)2≤(xi−xi+1)2; therefore a nonnegative ground vector v exists. Its eigenvalue equation at any zero coordinate forces every adjacent coordinate to be zero, and connectedness of the path would then force v=0. Hence vi>0 for every i.

3.1step 2.2algebra

The endpoint equation at vertex 0 determines v1 uniquely from v0, and each interior equation determines vi+1 from vi,vi−1. If v0=0, the endpoint equation gives v1=0 and recurrence gives v=0, impossible. Thus every eigenvector at a fixed eigenvalue is determined by its first coordinate, so the ground eigenspace is one-dimensional.

3.2step 1.1step 2.2F1algebra

Write E for the ground eigenvalue and di=vi−vi+1 for 0≤i<N. The endpoint and interior eigenvalue equations give d0=Etv0,di−di−1=E−aitvi(1≤i<N),dN−1=aN−EtvN. The ground energy satisfies E≥0 because both terms in H0(s) are positive semidefinite. Testing the normalized constant vector gives E≤aN/2, because its Laplacian energy is zero and the average of 0,1,…,N is N/2. Therefore d0≥0 and dN−1≥0.

4.1step 3.2algebra∎

Since a>0 and each vi>0, the increments di−di−1 in step 3.2 are nonnegative while ai≤E and nonpositive after ai≥E. Thus the sequence (di) first does not decrease and then does not increase; every one of its entries is at least the smaller of its two endpoint entries. Step 3.2 makes both endpoints nonnegative, so every di≥0. This proves vi≥vi+1 and completes the remaining case.

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