operator-theory

Verify bounded operators and compute adjoints using Z3 and SymPy.

3.9k|296|Updated Dec 23, 2025
One-click install
npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill operator-theory-parcadei
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Please help me install this Agent Skill.
Skill: operator-theory
Source: https://github.com/parcadei/Continuous-Claude-v3/tree/main/.claude/skills/math/functional-analysis/operator-theory
Command: npx skills add https://github.com/parcadei/Continuous-Claude-v3 --skill operator-theory-parcadei

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z3-solver, sympy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides strategies and tools for solving complex problems in operator theory within the field of functional analysis.

Core Features & Use Cases

  • Bounded Operator Verification: Check if an operator satisfies ||Tx|| <= M||x||.
  • Adjoint Operator Computation: Define and compute the adjoint operator T*.
  • Spectral Theory Analysis: Analyze the spectrum of operators and properties of self-adjoint operators.
  • Compact Operator Identification: Determine if an operator is compact.
  • Use Case: When faced with a new operator in functional analysis, use this skill to systematically check its properties like boundedness, compute its adjoint, and analyze its spectral characteristics.

Quick Start

Use the operator-theory skill to verify if the operator T is bounded.

Frequently Asked Questions about operator-theory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify if an operator is bounded in functional analysis?

To verify if an operator is bounded in functional analysis, you check if it satisfies the condition ||Tx|| <= M||x|| for some constant M. This skill systematically tests this inequality using Z3 for formal proofs and SymPy for symbolic computation.

What is the best way to compute the adjoint of an operator?

The best way to compute the adjoint of an operator is to systematically define and calculate T* using symbolic computation. This skill leverages SymPy to handle the algebraic manipulations required for accurately deriving the adjoint operator.

How does spectral analysis work for self-adjoint operators?

Spectral analysis for self-adjoint operators works by examining their spectrum to identify specific properties and characteristics. This skill provides computational tools to analyze these spectral properties using Z3 for formal proofs and SymPy for symbolic mathematical verification.

Can I use Z3 and SymPy to identify compact operators?

Yes, you can use Z3 and SymPy to identify compact operators. This skill utilizes Z3 for formal logical proofs and SymPy for symbolic computation to systematically determine if an operator meets the criteria for compactness in functional analysis.

When do I need spectral theory analysis for bounded operators?

You need spectral theory analysis for bounded operators when you want to understand their spectral characteristics and properties, such as self-adjointness. This skill provides strategies to analyze the spectrum and identify these specific operator properties using formal verification.