Strategic Gaussian Signaling under Linear Sensitivity Mismatch

Fuente: arXiv
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Main Authors: Munif, Hassan, Varma, Vineeth Satheeskumar, Lasaulce, Samson
Format: Preprint
Published: 2026
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author Munif, Hassan
Varma, Vineeth Satheeskumar
Lasaulce, Samson
author_facet Munif, Hassan
Varma, Vineeth Satheeskumar
Lasaulce, Samson
contents We analyze Stackelberg Gaussian signaling games where the encoder and decoder have a linear sensitivity mismatch. Unlike the standard additive-bias model, a sensitivity mismatch means the encoder prefers the decoder to track a linear transformation of the state rather than a shifted one. We derive the equilibrium structure for both noiseless (cheap-talk) and noisy signaling channels. In the noiseless case, the equilibrium admits a spectral characterization: the encoder transmits information only along eigenspaces associated with the negative eigenvalues of a mismatch matrix. In the noisy regime, we derive analytical thresholds for informative signaling, showing that communication collapses if the sensitivity mismatch or transmission cost exceeds a channel-dependent threshold.
format Preprint
id arxiv_https___arxiv_org_abs_2602_19292
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Strategic Gaussian Signaling under Linear Sensitivity Mismatch
Munif, Hassan
Varma, Vineeth Satheeskumar
Lasaulce, Samson
Computer Science and Game Theory
Information Theory
Systems and Control
We analyze Stackelberg Gaussian signaling games where the encoder and decoder have a linear sensitivity mismatch. Unlike the standard additive-bias model, a sensitivity mismatch means the encoder prefers the decoder to track a linear transformation of the state rather than a shifted one. We derive the equilibrium structure for both noiseless (cheap-talk) and noisy signaling channels. In the noiseless case, the equilibrium admits a spectral characterization: the encoder transmits information only along eigenspaces associated with the negative eigenvalues of a mismatch matrix. In the noisy regime, we derive analytical thresholds for informative signaling, showing that communication collapses if the sensitivity mismatch or transmission cost exceeds a channel-dependent threshold.
title Strategic Gaussian Signaling under Linear Sensitivity Mismatch
topic Computer Science and Game Theory
Information Theory
Systems and Control
url https://arxiv.org/abs/2602.19292