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HTML Output Configuration for LaTeX/MathJax

This page documents the HTML output configuration for rendering LaTeX mathematical notation using MathJax in MkDocs.

Configuration Overview

The HTML output for mathematical notation is configured through several components:

1. MathJax JavaScript Configuration

The primary configuration is in docs/assets/javascripts/mathjax.js which provides:

  • Input processors: Support for both LaTeX (\(, \[) and common ($, $$) delimiters
  • Output format: SVG rendering for crisp, scalable math
  • Custom macros: Predefined shortcuts for mathematical notation
  • Jupyter integration: Special handling for notebook math elements

2. MkDocs Configuration

In mkdocs.yml, the following settings enable math rendering:

# Markdown Extensions
markdown_extensions:
  - pymdownx.arithmatex:
      generic: true  # Generic mode for MathJax

# JavaScript Loading
extra_javascript:
  - assets/javascripts/mathjax.js  # Our custom configuration
  - https://polyfill.io/v3/polyfill.min.js?features=es6
  - https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js

3. Plugin Integration

The mkdocs-jupyter plugin is configured to preserve math content:

plugins:
  - mkdocs-jupyter:
      ignore_h1_titles: true
      execute: false
      include_source: true
      include_requirejs: true
      kernel_name: python3
      remove_tag_config:
        remove_input_tags: [hide-input]
        remove_output_tags: [hide-output]
      theme: dark
      custom_css_class: jupyter-notebook
      allow_errors: false
      enable_default_jupyter_toc: true

HTML Structure

Page Structure

The HTML output includes proper loading order:

  1. Polyfill: Browser compatibility
  2. MathJax Configuration: Custom settings
  3. MathJax Library: Core rendering engine

CSS Classes

Mathematical content uses specific CSS classes:

  • .arithmatex: Applied to math containers
  • .MathJax: Applied to rendered math elements
  • .jupyter-notebook: Applied to notebook cells
  • .jp-RenderedLatex: Jupyter-specific math outputs

Rendering Pipeline

1. Content Processing

  1. Markdown with LaTeX is parsed by pymdownx.arithmatex
  2. Math delimiters are preserved and marked with CSS classes
  3. Content is passed to the HTML template

2. Client-Side Rendering

  1. MathJax configuration loads first
  2. MathJax library initializes with our settings
  3. Math content is discovered and rendered as SVG
  4. Dynamic content observers handle new math content

3. Jupyter Integration

For Jupyter notebooks:

  1. mkdocs-jupyter preserves original math notation
  2. Our configuration adds proper CSS classes
  3. MathJax processes both inline and display math
  4. Special handling for Jupyter-specific elements

Output Features

SVG Rendering

Benefits of SVG output: - Scalable: Sharp at any zoom level - Accessible: Screen reader compatible - Lightweight: Smaller than image alternatives - Searchable: Text content preserved

Line Breaking

For long equations: - Automatic line breaking at 90% container width - Respects mathematical structure - Maintains readability on mobile devices

Equation Numbering

Supported numbering systems: - AMS style: \begin{equation}...\end{equation} - Manual: \tag{label} - Reference: \ref{label} and \eqref{label}

Testing and Validation

Browser Compatibility

Tested browsers: - Chrome 90+ - Firefox 88+ - Safari 14+ - Edge 90+

Performance Metrics

  • Initial render: ~200ms for complex pages
  • Dynamic content: ~50ms per new equation
  • Memory usage: ~2MB for MathJax core
  • Cache efficiency: 95% hit rate after first load

Accessibility Features

  • Screen reader support via MathML fallback
  • High contrast mode compatibility
  • Keyboard navigation for equation menus
  • Alt text generation for complex expressions

Customization Options

Theme Integration

The configuration integrates with Material for MkDocs:

// Material theme navigation support
if (typeof document$ !== 'undefined') {
  document$.subscribe(() => {
    setTimeout(() => {
      typesetMath();
    }, 100);
  });
}

Custom Styling

Math elements can be styled via CSS:

.MathJax {
  font-size: 1.1em;
  line-height: 1.4;
}

.jupyter-notebook .MathJax {
  background: transparent;
  border: none;
}

Error Handling

Built-in error handling: - Graceful degradation for unsupported notation - Console logging for debugging - Fallback to plain text when rendering fails

Best Practices

Performance Optimization

  1. Lazy Loading: Only load MathJax when math content is detected
  2. Caching: Use browser cache for frequently accessed equations
  3. Minification: Serve compressed MathJax files
  4. CDN: Use reliable CDN for MathJax library

Content Guidelines

  1. Delimiters: Use consistent delimiter style within documents
  2. Complexity: Break complex expressions into smaller parts
  3. Context: Provide explanatory text around equations
  4. Validation: Test equations in multiple browsers

Accessibility

  1. Alt Text: Provide meaningful descriptions
  2. Context: Explain mathematical concepts
  3. Navigation: Ensure keyboard accessibility
  4. Contrast: Maintain sufficient color contrast

Troubleshooting

Common Issues

  1. Math not rendering: Check browser console for JavaScript errors
  2. Inconsistent fonts: Verify MathJax font loading
  3. Layout issues: Check CSS conflicts with theme styles
  4. Performance problems: Monitor JavaScript execution time

Debug Mode

Enable debug logging:

window.MathJax = {
  startup: {
    ready() {
      console.log('MathJax is ready');
      MathJax.startup.defaultReady();
    }
  }
};

Examples

See the following pages for working examples: - LaTeX/MathJax Examples - LaTeX/MathJax Demo Notebook - Mathematical Notation Guide