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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

Rank-one inner product and norm identities

The Frobenius inner product separates into two vector dot products, while the norm separates into the product of the two vector lengths and |s|. These identities retain the geometry of the effective matrix while avoiding its explicit construction. They are exact in…

Declaration and state changedocumented formula
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eq-d7da6c67553169mathematical expression
⟨Uu,Uv⟩F=s2(buTbv)(auTav),  ∥Ut∥F=∣s∣∥bt∥2∥at∥2.⟨{U}_{u},{U}_{v}{⟩}_{F}={s}^{2}\left({b}_{u}^{T}{b}_{v}\right)\left({a}_{u}^{T}{a}_{v}\right),  \Vert {U}_{t}{\Vert }_{F}=\left|s\right|\Vert {b}_{t}{\Vert }_{2}\Vert {a}_{t}{\Vert }_{2}.

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The Frobenius inner product separates into two vector dot products, while the norm separates into the product of the two vector lengths and |s|. These identities retain the geometry of the effective matrix while avoiding its explicit construction. They are exact in real arithmetic; numerical rounding still matters near cancellation.

Terms & definitions

TermMeaning in this source
U

Rank-one update

a

Input factor

b

Output factor

s

Scale coefficient

How it works

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Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

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The factorization is not unique. For nonzero ct, replacing bt by ctbt and at by at/ct preserves Ut. In particular, simultaneous sign reversal changes both factor directions but not the effective operator. Consequently, we calculate factor metrics and corresponding effective-update metrics. This checks for a purely representational explanation of a factor change without assuming that the source study’s finding is such an artifact.

The Frobenius inner product is available without materializing a dense matrix:

⟨Uu,Uv⟩F=s2buTbvauTav,  ∥Ut∥F=s∥bt∥2∥at∥2.

The squared distance is ∥Uv−Uu∥F2=∥Uv∥F2+∥Uu∥F2−2⟨Uu,Uv⟩F. When both updates are nonzero, their cosine is the normalized inner product. At fixed positive scale it is also the product of the two factor cosines. Matrix-level metrics are invariant to the reciprocal rescalings above, unlike raw factor norms.

4.4 Local path bend and amplitude eligibility

The local metric used in the released analysis compares displacements from a center checkpoint to earlier and later checkpoints [3]. For Zt=bt or Zt=Ut, define
Exact original notation
⟨{U}_{u},{U}_{v}{⟩}_{F}={s}^{2}\left({b}_{u}^{T}{b}_{v}\right)\left({a}_{u}^{T}{a}_{v}\right),  \Vert {U}_{t}{\Vert }_{F}=\left|s\right|\Vert {b}_{t}{\Vert }_{2}\Vert {a}_{t}{\Vert }_{2}.

Related builds

Sources & provenance

01
Declaration_and_State_Change_Final.docx
paragraph 82, math 1 · Sep 17, 2026
⟨{U}_{u},{U}_{v}{⟩}_{F}={s}^{2}\left({b}_{u}^{T}{b}_{v}\right)\left({a}_{u}^{T}{a}_{v}\right),  \Vert {U}_{t}{\Vert }_{F}=\left|s\right|\Vert {b}_{t}{\Vert }_{2}\Vert {a}_{t}{\Vert }_{2}.
02
Declaration_and_State_Change_Final.docx
paragraph 82, math 1 · Sep 17, 2026
⟨{U}_{u},{U}_{v}{⟩}_{F}={s}^{2}\left({b}_{u}^{T}{b}_{v}\right)\left({a}_{u}^{T}{a}_{v}\right),  \Vert {U}_{t}{\Vert }_{F}=\left|s\right|\Vert {b}_{t}{\Vert }_{2}\Vert {a}_{t}{\Vert }_{2}.

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