Chapter03 Example 3.3.3 (1): the reported value of β² is 1.061.
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The reported constant β² is the rational value 1061 / 1000.
Chapter03 Example 3.3.3 (2): the concrete matrix G_k from formula (3.3.15).
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The lower-triangular factor L reported in Example 3.3.3.
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The diagonal matrix D reported in Example 3.3.3.
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The diagonal correction matrix E_k reported in Example 3.3.3.
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The corrected matrix Ḡ_k = G_k + E_k attached to the reported data of Example 3.3.3.
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The concrete correction satisfies Ḡ_k - G_k = E_k.
Chapter03 Example 3.3.3 (3): for the reported correction matrix,
‖Ḡ_k - G_k‖_F = ‖E_k‖_F.
Helper for Chapter03 Example 3.3.3: the squared Frobenius norm of the reported diagonal correction has the exact rational value coming from its three diagonal entries.
Chapter03 Example 3.3.3 (4): the Frobenius norm of the concrete correction
Ḡ_k - G_k is reported by the rounded value 6154 / 1000 = 6.154.
Helper for Chapter03 Example 3.3.3: the rational core of the corrected matrix keeps the
reported rounded entries and drops only the tiny 10^-20 diagonal perturbation.
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Helper for Chapter03 Example 3.3.3: the remaining tiny positive diagonal perturbation in the
reported corrected matrix sits only in the (1,1) entry.
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Helper for Chapter03 Example 3.3.3: the corrected matrix splits into the rational core plus the tiny nonnegative diagonal remainder.
Helper for Chapter03 Example 3.3.3: the rational core is symmetric.
Helper for Chapter03 Example 3.3.3: if all three coordinates of a vector in Fin 3 → ℝ
vanish, then the vector itself is zero.
Helper for Chapter03 Example 3.3.3: the rational core quadratic form admits the exact two-step square-completion decomposition that mirrors the source's modified-factorization route.
Helper for Chapter03 Example 3.3.3: the rational core already has a strictly positive quadratic form on every nonzero vector.
Helper for Chapter03 Example 3.3.3: the rational core matrix is positive definite.
Helper for Chapter03 Example 3.3.3: the tiny diagonal remainder is positive semidefinite, so it can be added without destroying positive definiteness.
Chapter03 Example 3.3.3 (5): the concrete corrected matrix Ḡ_k = G_k + E_k attached to
the reported data is positive definite.
The rounded factor product L D Lᵀ attached to the reported data of Example 3.3.3.