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Nonnegative monotone ground vector of the history path
Statement
Let , , , , and let be the graph Laplacian of the path with vertices . Define the clock matrix For each , its smallest eigenvalue is simple and has a normalized nonnegative eigenvector satisfying For the vector is strictly positive; at it is and its tail coordinates are zero. At it is the uniform vector.
For a path produced by Five-local history-state adiabatic path, set , and . The all-zero-input history sector is invariant under , and its restriction has matrix in this orthonormal history basis.
Facts & Assumptions
Given: The unary clock and linear interpolation from Five-local history-state adiabatic path.
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
For the constructed path, the vectors are orthonormal because the prefixes are unitary and the clock states are orthonormal. The clock penalty vanishes on them. The input penalty annihilates because its data input is , and annihilates for because the first clock bit is . Also . Each propagation term sends to and to , and annihilates the other history basis vectors, since . Thus is invariant and the restricted matrix is . For every , the quadratic form of this abstract matrix at is , so both summands are positive semidefinite.
If , then and its unique normalized nonnegative ground vector is . If , then ; 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.
Suppose , so . The matrix is real symmetric with neighboring off-diagonal entries . 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 and ; therefore a nonnegative ground vector exists. Its eigenvalue equation at any zero coordinate forces every adjacent coordinate to be zero, and connectedness of the path would then force . Hence for every .
The endpoint equation at vertex determines uniquely from , and each interior equation determines from . If , the endpoint equation gives and recurrence gives , impossible. Thus every eigenvector at a fixed eigenvalue is determined by its first coordinate, so the ground eigenspace is one-dimensional.
Write for the ground eigenvalue and for . The endpoint and interior eigenvalue equations give The ground energy satisfies because both terms in are positive semidefinite. Testing the normalized constant vector gives , because its Laplacian energy is zero and the average of is . Therefore and .
Since and each , the increments in step 3.2 are nonnegative while and nonpositive after . Thus the sequence 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 . This proves and completes the remaining case.
Depends on
Used by
Dependency tree · two levels
18 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Dorit Aharonov, Wim van Dam, Julia Kempe, Zeph Landau, Seth Lloyd, and Oded Regev, Adiabatic Quantum Computation is Equivalent to Standard Quantum Computation (standard reference, not scraped)
- Michael Jarret and Stephen P. Jordan, The Fundamental Gap for a Class of Schrödinger Operators on Path and Hypercube Graphs (standard reference, not scraped)