Spectral Portfolio Theory: Interference, Coherence, and Capacity in Multi-Brand Perception Space

Brand portfolio theory classifies portfolios by architecture – monolithic, endorsed, house-of-brands – but does not formalize how brands within the same portfolio interact in the observer’s perception space. This paper develops spectral portfolio theory within Spectral Brand Theory (SBT), which models brands as emitters across eight typed dimensions perceived by heterogeneous observer cohorts. Spectral interference – signals from one brand perturbing the perception cloud of another within shared cohorts – is formalized, distinguishing constructive interference (compatible signals reinforcing mutual perception) from destructive interference (contradictory signals undermining it). Interference magnitude is bounded by cohort overlap and spectral proximity on high-weight dimensions, modulated by a parent-brand recognition gate. Single-brand coherence is extended to portfolio-level coherence through a three-layer metric (within-brand, cross-brand, and aggregate). Four portfolio archetypes are identified – spectral cluster (LVMH), spectral spread (Procter & Gamble), spectral contradiction (Unilever), and spectral layering (Toyota/Lexus). A comparative analysis of LVMH and Unilever demonstrates that architecturally identical portfolios produce structurally opposite interference dynamics. Seven formal propositions are derived. The framework provides a formal basis for acquisition evaluation, portfolio rationalization, and cross-brand risk assessment that existing taxonomies cannot support. Includes zharnikov-2026q-r8.yaml (Paper Spec v0.1.0) – a machine-readable specification of the paper's claims, assumptions, and dependencies. See https://github.com/spectralbranding/paper-spec for the standard. This PDF is generated programmatically from that machine-first source under a research-as-repository model.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-27
DOI
https://doi.org/10.5281/zenodo.20958319
Primary Topic
Consumer Behavior in Brand Consumption and Identification
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Spectral Portfolio Theory: Interference, Coherence, and Capacity in Multi-Brand Perception Space

Dmitry Zharnikov
Zenodo (CERN European Organization for Nuclear Research)
Consumer Behavior in Brand Consumption and Identification
preprint

Spectral Portfolio Theory: Interference, Coherence, and Capacity in Multi-Brand Perception Space

Dmitry Zharnikov
preprint en

Abstract

Brand portfolio theory classifies portfolios by architecture – monolithic, endorsed, house-of-brands – but does not formalize how brands within the same portfolio interact in the observer’s perception space. This paper develops spectral portfolio theory within Spectral Brand Theory (SBT), which models brands as emitters across eight typed dimensions perceived by heterogeneous observer cohorts. Spectral interference – signals from one brand perturbing the perception cloud of another within shared cohorts – is formalized, distinguishing constructive interference (compatible signals reinforcing mutual perception) from destructive interference (contradictory signals undermining it). Interference magnitude is bounded by cohort overlap and spectral proximity on high-weight dimensions, modulated by a parent-brand recognition gate. Single-brand coherence is extended to portfolio-level coherence through a three-layer metric (within-brand, cross-brand, and aggregate). Four portfolio archetypes are identified – spectral cluster (LVMH), spectral spread (Procter & Gamble), spectral contradiction (Unilever), and spectral layering (Toyota/Lexus). A comparative analysis of LVMH and Unilever demonstrates that architecturally identical portfolios produce structurally opposite interference dynamics. Seven formal propositions are derived. The framework provides a formal basis for acquisition evaluation, portfolio rationalization, and cross-brand risk assessment that existing taxonomies cannot support. Includes zharnikov-2026q-r8.yaml (Paper Spec v0.1.0) – a machine-readable specification of the paper's claims, assumptions, and dependencies. See https://github.com/spectralbranding/paper-spec for the standard. This PDF is generated programmatically from that machine-first source under a research-as-repository model.

Zenodo (CERN European Organization for Nuclear Research)
Consumer Behavior in Brand Consumption and Identification
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.