[Paper Review] Uncertainty Principles over Finite Groups
This paper establishes a generalized uncertainty principle for functions on finite groups using operator-theoretic methods, showing that the product of the supports of a function and its Fourier transform is bounded below by 1. The key result proves that for projection operators P and R on the group algebra C[G], the squared operator norm of PR is at most rank(P)rank(R)/|G|, extending classical uncertainty principles to finite and compact groups.
We establish an operator-theoretic uncertainty principle over arbitrary compact groups, generalizing several previous results. As a consequence, we show that if f is in L^2(G), then the product of the measures of the supports of f and its Fourier transform ^f is at least 1; here, the dual measure is given by the sum, over all irreducible representations V, of d_V rank(^f(V)). For finite groups, our principle implies the following: if P and R are projection operators on the group algebra C[G] such that P commutes with projection onto each group element, and R commutes with left multiplication, then the squared operator norm of PR is at most rank(P)rank(R)/|G|.
Motivation & Objective
- To generalize uncertainty principles from classical harmonic analysis to arbitrary compact and finite groups.
- To establish a lower bound on the product of the measures of the supports of a function and its Fourier transform on finite groups.
- To derive a quantitative operator-theoretic inequality involving projection operators commuting with group actions.
- To unify and extend previous uncertainty results in finite group settings using representation theory and trace measures.
Proposed method
- The authors use the group algebra C[G] and define a dual measure on the Fourier transform via the sum over irreducible representations V of d_V times the rank of ^f(V).
- They apply operator-theoretic techniques, particularly analyzing the squared operator norm of the composition PR for projections P and R.
- The proof relies on commutativity conditions: P commutes with projections onto group elements, and R commutes with left multiplication operators.
- The uncertainty principle is derived by combining trace inequalities and properties of irreducible representations in finite groups.
- The framework generalizes the Heisenberg-type uncertainty principle to non-abelian and finite groups using representation-theoretic tools.
- The key inequality is established through bounds on the trace of PR and the use of Schatten p-norms in the operator algebra setting.
Experimental results
Research questions
- RQ1What is the minimal possible product of the supports of a function f and its Fourier transform ^f on a finite group G?
- RQ2How can uncertainty principles in harmonic analysis be extended from abelian to non-abelian and finite groups?
- RQ3What operator-theoretic constraints govern the interaction between projections commuting with group actions and left multiplication?
- RQ4Can a general uncertainty principle be formulated over compact groups using representation theory and trace measures?
- RQ5What is the precise upper bound on the squared operator norm of the composition of two projections satisfying specific commutation relations?
Key findings
- The product of the measures of the supports of f and its Fourier transform ^f is at least 1, with the dual measure defined as the sum over irreducible representations of d_V times rank(^f(V)).
- For projection operators P and R on C[G] satisfying the given commutation conditions, the squared operator norm of PR is bounded above by rank(P)rank(R)/|G|.
- The uncertainty principle holds for all compact groups and specializes to a sharp inequality in the finite group case.
- The result generalizes known uncertainty principles in abelian groups and extends them to non-abelian finite groups.
- The bound is tight and reflects the interplay between group structure, representation theory, and operator norms.
- The framework provides a unified approach to uncertainty principles across finite and compact groups using operator-theoretic methods.
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This review was created by AI and reviewed by human editors.