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hex-matrix-mathlib

Part of hex, a computer algebra library for Lean 4. The aim is fast executable code, fully verified, built with spec-driven development.

hex-matrix-mathlib is the Mathlib bridge for hex-matrix. It identifies the executable dense matrices with Mathlib's function-based Matrix, so that Mathlib's linear-algebra results transfer to the computable representation. This library depends on Mathlib and on hex-matrix.

Quickstart

Add to your lakefile.toml:

[[require]]
name = "hex-matrix-mathlib"git = "https://github.com/leanprover/hex-matrix-mathlib.git"rev = "main"
import HexMatrixMathlib
open Hex HexMatrixMathlib
-- Every executable matrix corresponds to a Mathlib matrix with the same entries.#check @matrixEquiv -- Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R#check @matrixEquiv_apply -- matrixEquiv M i j = M[i][j]-- Elementary row operations become Mathlib's elementary matrices.#check @matrixEquiv_rowSwap -- left multiply by Matrix.swap#check @matrixEquiv_rowAdd -- left multiply by Matrix.transvection-- The executable arithmetic is Mathlib's algebraic tower.#check @matrixRingEquiv -- Hex.Matrix R n n ≃+* Matrix (Fin n) (Fin n) R

Functionality

The proof-facing API connecting the two matrix worlds:

  • the equivalence matrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R and its companion vectorEquiv : Vector R n ≃ (Fin n → R);
  • the algebraic instances on Hex.Matrix whose operations are the executable ones: AddCommMonoid, AddCommGroup, Module, instSemiring, instRing, and instAlgebra, transported along matrixEquiv;
  • the bundled upgrades matrixAddEquiv, matrixLinearEquiv, matrixRingEquiv, and matrixAlgEquiv;
  • the row-operation dictionary matrixEquiv_rowSwap, matrixEquiv_rowScale, and matrixEquiv_rowAdd;
  • transfer lemmas for the container API: matrixEquiv_transpose, matrixEquiv_setRow, matrixEquiv_setCol, matrixEquiv_gramMatrix, matrixEquiv_principalSubmatrix, and the matrix-vector product vectorEquiv_mulVec.

Verification

The correspondence is fully proven. The algebraic instances are transported across matrixEquiv, so their laws are Mathlib's; the @[simp, grind] transfer lemmas (matrixEquiv_add, matrixEquiv_mul, matrixEquiv_one, matrixEquiv_smul, and the rest) let simp and grind rewrite between the two representations.

The headline equivalence sends each matrix to the Mathlib matrix with the same entries:

defmatrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R
theoremmatrixEquiv_apply (M : Hex.Matrix R n m) (i : Fin n) (j : Fin m) :
matrixEquiv M i j = M[i][j]

The elementary row operations correspond to Mathlib's elementary matrices. A swap is left multiplication by the permutation matrix Matrix.swap:

theoremmatrixEquiv_rowSwap (M : Hex.Matrix R n m) (i j : Fin n) :
matrixEquiv (Hex.Matrix.rowSwap M i j) = Matrix.swap R i j * matrixEquiv M

A row addition is left multiplication by Matrix.transvection:

theoremmatrixEquiv_rowAdd (M : Hex.Matrix R n m) (src dst : Fin n) (c : R) :
matrixEquiv (Hex.Matrix.rowAdd M src dst c) =
Matrix.transvection dst src c * matrixEquiv M

The matrix-vector product transports to Mathlib's Matrix.mulVec:

theoremvectorEquiv_mulVec [Semiring R] (M : Hex.Matrix R n m) (v : Vector R m) :
vectorEquiv (M * v) = (matrixEquiv M).mulVec (vectorEquiv v)

The executable matrices and their operations live in hex-matrix. The determinant, row reduction, and Bareiss correspondences build on this base in their own bridge libraries.

Reference manual

The Mathlib correspondence section of the hex reference manual covers this library at https://kim-em.github.io/hex-dev/find/?domain=Verso.Genre.Manual.section&name=hex-matrix-mathlib.

Contributing

Development happens in the hex-dev monorepo, not in this published mirror. Contributions are welcome as pull requests to the SPEC/ directory: describe the behaviour you want, and leave the implementation to the maintainer.

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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hex-matrix-mathlib

Part of hex, a computer algebra library for Lean 4. The aim is fast executable code, fully verified, built with spec-driven development.

hex-matrix-mathlib is the Mathlib bridge for hex-matrix. It identifies the executable dense matrices with Mathlib's function-based Matrix, so that Mathlib's linear-algebra results transfer to the computable representation. This library depends on Mathlib and on hex-matrix.

Quickstart

Add to your lakefile.toml:

[[require]]
name = "hex-matrix-mathlib"git = "https://github.com/leanprover/hex-matrix-mathlib.git"rev = "main"
import HexMatrixMathlib
open Hex HexMatrixMathlib
-- Every executable matrix corresponds to a Mathlib matrix with the same entries.#check @matrixEquiv -- Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R#check @matrixEquiv_apply -- matrixEquiv M i j = M[i][j]-- Elementary row operations become Mathlib's elementary matrices.#check @matrixEquiv_rowSwap -- left multiply by Matrix.swap#check @matrixEquiv_rowAdd -- left multiply by Matrix.transvection-- The executable arithmetic is Mathlib's algebraic tower.#check @matrixRingEquiv -- Hex.Matrix R n n ≃+* Matrix (Fin n) (Fin n) R

Functionality

The proof-facing API connecting the two matrix worlds:

  • the equivalence matrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R and its companion vectorEquiv : Vector R n ≃ (Fin n → R);
  • the algebraic instances on Hex.Matrix whose operations are the executable ones: AddCommMonoid, AddCommGroup, Module, instSemiring, instRing, and instAlgebra, transported along matrixEquiv;
  • the bundled upgrades matrixAddEquiv, matrixLinearEquiv, matrixRingEquiv, and matrixAlgEquiv;
  • the row-operation dictionary matrixEquiv_rowSwap, matrixEquiv_rowScale, and matrixEquiv_rowAdd;
  • transfer lemmas for the container API: matrixEquiv_transpose, matrixEquiv_setRow, matrixEquiv_setCol, matrixEquiv_gramMatrix, matrixEquiv_principalSubmatrix, and the matrix-vector product vectorEquiv_mulVec.

Verification

The correspondence is fully proven. The algebraic instances are transported across matrixEquiv, so their laws are Mathlib's; the @[simp, grind] transfer lemmas (matrixEquiv_add, matrixEquiv_mul, matrixEquiv_one, matrixEquiv_smul, and the rest) let simp and grind rewrite between the two representations.

The headline equivalence sends each matrix to the Mathlib matrix with the same entries:

defmatrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R
theoremmatrixEquiv_apply (M : Hex.Matrix R n m) (i : Fin n) (j : Fin m) :
matrixEquiv M i j = M[i][j]

The elementary row operations correspond to Mathlib's elementary matrices. A swap is left multiplication by the permutation matrix Matrix.swap:

theoremmatrixEquiv_rowSwap (M : Hex.Matrix R n m) (i j : Fin n) :
matrixEquiv (Hex.Matrix.rowSwap M i j) = Matrix.swap R i j * matrixEquiv M

A row addition is left multiplication by Matrix.transvection:

theoremmatrixEquiv_rowAdd (M : Hex.Matrix R n m) (src dst : Fin n) (c : R) :
matrixEquiv (Hex.Matrix.rowAdd M src dst c) =
Matrix.transvection dst src c * matrixEquiv M

The matrix-vector product transports to Mathlib's Matrix.mulVec:

theoremvectorEquiv_mulVec [Semiring R] (M : Hex.Matrix R n m) (v : Vector R m) :
vectorEquiv (M * v) = (matrixEquiv M).mulVec (vectorEquiv v)

The executable matrices and their operations live in hex-matrix. The determinant, row reduction, and Bareiss correspondences build on this base in their own bridge libraries.

Reference manual

The Mathlib correspondence section of the hex reference manual covers this library at https://kim-em.github.io/hex-dev/find/?domain=Verso.Genre.Manual.section&name=hex-matrix-mathlib.

Contributing

Development happens in the hex-dev monorepo, not in this published mirror. Contributions are welcome as pull requests to the SPEC/ directory: describe the behaviour you want, and leave the implementation to the maintainer.

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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hex-matrix-mathlib

Part of hex, a computer algebra library for Lean 4. The aim is fast executable code, fully verified, built with spec-driven development.

hex-matrix-mathlib is the Mathlib bridge for hex-matrix. It identifies the executable dense matrices with Mathlib's function-based Matrix, so that Mathlib's linear-algebra results transfer to the computable representation. This library depends on Mathlib and on hex-matrix.

Quickstart

Add to your lakefile.toml:

[[require]]
name = "hex-matrix-mathlib"git = "https://github.com/leanprover/hex-matrix-mathlib.git"rev = "main"
import HexMatrixMathlib
open Hex HexMatrixMathlib
-- Every executable matrix corresponds to a Mathlib matrix with the same entries.#check @matrixEquiv -- Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R#check @matrixEquiv_apply -- matrixEquiv M i j = M[i][j]-- Elementary row operations become Mathlib's elementary matrices.#check @matrixEquiv_rowSwap -- left multiply by Matrix.swap#check @matrixEquiv_rowAdd -- left multiply by Matrix.transvection-- The executable arithmetic is Mathlib's algebraic tower.#check @matrixRingEquiv -- Hex.Matrix R n n ≃+* Matrix (Fin n) (Fin n) R

Functionality

The proof-facing API connecting the two matrix worlds:

  • the equivalence matrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R and its companion vectorEquiv : Vector R n ≃ (Fin n → R);
  • the algebraic instances on Hex.Matrix whose operations are the executable ones: AddCommMonoid, AddCommGroup, Module, instSemiring, instRing, and instAlgebra, transported along matrixEquiv;
  • the bundled upgrades matrixAddEquiv, matrixLinearEquiv, matrixRingEquiv, and matrixAlgEquiv;
  • the row-operation dictionary matrixEquiv_rowSwap, matrixEquiv_rowScale, and matrixEquiv_rowAdd;
  • transfer lemmas for the container API: matrixEquiv_transpose, matrixEquiv_setRow, matrixEquiv_setCol, matrixEquiv_gramMatrix, matrixEquiv_principalSubmatrix, and the matrix-vector product vectorEquiv_mulVec.

Verification

The correspondence is fully proven. The algebraic instances are transported across matrixEquiv, so their laws are Mathlib's; the @[simp, grind] transfer lemmas (matrixEquiv_add, matrixEquiv_mul, matrixEquiv_one, matrixEquiv_smul, and the rest) let simp and grind rewrite between the two representations.

The headline equivalence sends each matrix to the Mathlib matrix with the same entries:

defmatrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R
theoremmatrixEquiv_apply (M : Hex.Matrix R n m) (i : Fin n) (j : Fin m) :
matrixEquiv M i j = M[i][j]

The elementary row operations correspond to Mathlib's elementary matrices. A swap is left multiplication by the permutation matrix Matrix.swap:

theoremmatrixEquiv_rowSwap (M : Hex.Matrix R n m) (i j : Fin n) :
matrixEquiv (Hex.Matrix.rowSwap M i j) = Matrix.swap R i j * matrixEquiv M

A row addition is left multiplication by Matrix.transvection:

theoremmatrixEquiv_rowAdd (M : Hex.Matrix R n m) (src dst : Fin n) (c : R) :
matrixEquiv (Hex.Matrix.rowAdd M src dst c) =
Matrix.transvection dst src c * matrixEquiv M

The matrix-vector product transports to Mathlib's Matrix.mulVec:

theoremvectorEquiv_mulVec [Semiring R] (M : Hex.Matrix R n m) (v : Vector R m) :
vectorEquiv (M * v) = (matrixEquiv M).mulVec (vectorEquiv v)

The executable matrices and their operations live in hex-matrix. The determinant, row reduction, and Bareiss correspondences build on this base in their own bridge libraries.

Reference manual

The Mathlib correspondence section of the hex reference manual covers this library at https://kim-em.github.io/hex-dev/find/?domain=Verso.Genre.Manual.section&name=hex-matrix-mathlib.

Contributing

Development happens in the hex-dev monorepo, not in this published mirror. Contributions are welcome as pull requests to the SPEC/ directory: describe the behaviour you want, and leave the implementation to the maintainer.

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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hex-matrix-mathlib

Part of hex, a computer algebra library for Lean 4. The aim is fast executable code, fully verified, built with spec-driven development.

hex-matrix-mathlib is the Mathlib bridge for hex-matrix. It identifies the executable dense matrices with Mathlib's function-based Matrix, so that Mathlib's linear-algebra results transfer to the computable representation. This library depends on Mathlib and on hex-matrix.

Quickstart

Add to your lakefile.toml:

[[require]]
name = "hex-matrix-mathlib"git = "https://github.com/leanprover/hex-matrix-mathlib.git"rev = "main"
import HexMatrixMathlib
open Hex HexMatrixMathlib
-- Every executable matrix corresponds to a Mathlib matrix with the same entries.#check @matrixEquiv -- Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R#check @matrixEquiv_apply -- matrixEquiv M i j = M[i][j]-- Elementary row operations become Mathlib's elementary matrices.#check @matrixEquiv_rowSwap -- left multiply by Matrix.swap#check @matrixEquiv_rowAdd -- left multiply by Matrix.transvection-- The executable arithmetic is Mathlib's algebraic tower.#check @matrixRingEquiv -- Hex.Matrix R n n ≃+* Matrix (Fin n) (Fin n) R

Functionality

The proof-facing API connecting the two matrix worlds:

  • the equivalence matrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R and its companion vectorEquiv : Vector R n ≃ (Fin n → R);
  • the algebraic instances on Hex.Matrix whose operations are the executable ones: AddCommMonoid, AddCommGroup, Module, instSemiring, instRing, and instAlgebra, transported along matrixEquiv;
  • the bundled upgrades matrixAddEquiv, matrixLinearEquiv, matrixRingEquiv, and matrixAlgEquiv;
  • the row-operation dictionary matrixEquiv_rowSwap, matrixEquiv_rowScale, and matrixEquiv_rowAdd;
  • transfer lemmas for the container API: matrixEquiv_transpose, matrixEquiv_setRow, matrixEquiv_setCol, matrixEquiv_gramMatrix, matrixEquiv_principalSubmatrix, and the matrix-vector product vectorEquiv_mulVec.

Verification

The correspondence is fully proven. The algebraic instances are transported across matrixEquiv, so their laws are Mathlib's; the @[simp, grind] transfer lemmas (matrixEquiv_add, matrixEquiv_mul, matrixEquiv_one, matrixEquiv_smul, and the rest) let simp and grind rewrite between the two representations.

The headline equivalence sends each matrix to the Mathlib matrix with the same entries:

defmatrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R
theoremmatrixEquiv_apply (M : Hex.Matrix R n m) (i : Fin n) (j : Fin m) :
matrixEquiv M i j = M[i][j]

The elementary row operations correspond to Mathlib's elementary matrices. A swap is left multiplication by the permutation matrix Matrix.swap:

theoremmatrixEquiv_rowSwap (M : Hex.Matrix R n m) (i j : Fin n) :
matrixEquiv (Hex.Matrix.rowSwap M i j) = Matrix.swap R i j * matrixEquiv M

A row addition is left multiplication by Matrix.transvection:

theoremmatrixEquiv_rowAdd (M : Hex.Matrix R n m) (src dst : Fin n) (c : R) :
matrixEquiv (Hex.Matrix.rowAdd M src dst c) =
Matrix.transvection dst src c * matrixEquiv M

The matrix-vector product transports to Mathlib's Matrix.mulVec:

theoremvectorEquiv_mulVec [Semiring R] (M : Hex.Matrix R n m) (v : Vector R m) :
vectorEquiv (M * v) = (matrixEquiv M).mulVec (vectorEquiv v)

The executable matrices and their operations live in hex-matrix. The determinant, row reduction, and Bareiss correspondences build on this base in their own bridge libraries.

Reference manual

The Mathlib correspondence section of the hex reference manual covers this library at https://kim-em.github.io/hex-dev/find/?domain=Verso.Genre.Manual.section&name=hex-matrix-mathlib.

Contributing

Development happens in the hex-dev monorepo, not in this published mirror. Contributions are welcome as pull requests to the SPEC/ directory: describe the behaviour you want, and leave the implementation to the maintainer.

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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hex-matrix-mathlib

Part of hex, a computer algebra library for Lean 4. The aim is fast executable code, fully verified, built with spec-driven development.

hex-matrix-mathlib is the Mathlib bridge for hex-matrix. It identifies the executable dense matrices with Mathlib's function-based Matrix, so that Mathlib's linear-algebra results transfer to the computable representation. This library depends on Mathlib and on hex-matrix.

Quickstart

Add to your lakefile.toml:

[[require]]
name = "hex-matrix-mathlib"git = "https://github.com/leanprover/hex-matrix-mathlib.git"rev = "main"
import HexMatrixMathlib
open Hex HexMatrixMathlib
-- Every executable matrix corresponds to a Mathlib matrix with the same entries.#check @matrixEquiv -- Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R#check @matrixEquiv_apply -- matrixEquiv M i j = M[i][j]-- Elementary row operations become Mathlib's elementary matrices.#check @matrixEquiv_rowSwap -- left multiply by Matrix.swap#check @matrixEquiv_rowAdd -- left multiply by Matrix.transvection-- The executable arithmetic is Mathlib's algebraic tower.#check @matrixRingEquiv -- Hex.Matrix R n n ≃+* Matrix (Fin n) (Fin n) R

Functionality

The proof-facing API connecting the two matrix worlds:

  • the equivalence matrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R and its companion vectorEquiv : Vector R n ≃ (Fin n → R);
  • the algebraic instances on Hex.Matrix whose operations are the executable ones: AddCommMonoid, AddCommGroup, Module, instSemiring, instRing, and instAlgebra, transported along matrixEquiv;
  • the bundled upgrades matrixAddEquiv, matrixLinearEquiv, matrixRingEquiv, and matrixAlgEquiv;
  • the row-operation dictionary matrixEquiv_rowSwap, matrixEquiv_rowScale, and matrixEquiv_rowAdd;
  • transfer lemmas for the container API: matrixEquiv_transpose, matrixEquiv_setRow, matrixEquiv_setCol, matrixEquiv_gramMatrix, matrixEquiv_principalSubmatrix, and the matrix-vector product vectorEquiv_mulVec.

Verification

The correspondence is fully proven. The algebraic instances are transported across matrixEquiv, so their laws are Mathlib's; the @[simp, grind] transfer lemmas (matrixEquiv_add, matrixEquiv_mul, matrixEquiv_one, matrixEquiv_smul, and the rest) let simp and grind rewrite between the two representations.

The headline equivalence sends each matrix to the Mathlib matrix with the same entries:

defmatrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R
theoremmatrixEquiv_apply (M : Hex.Matrix R n m) (i : Fin n) (j : Fin m) :
matrixEquiv M i j = M[i][j]

The elementary row operations correspond to Mathlib's elementary matrices. A swap is left multiplication by the permutation matrix Matrix.swap:

theoremmatrixEquiv_rowSwap (M : Hex.Matrix R n m) (i j : Fin n) :
matrixEquiv (Hex.Matrix.rowSwap M i j) = Matrix.swap R i j * matrixEquiv M

A row addition is left multiplication by Matrix.transvection:

theoremmatrixEquiv_rowAdd (M : Hex.Matrix R n m) (src dst : Fin n) (c : R) :
matrixEquiv (Hex.Matrix.rowAdd M src dst c) =
Matrix.transvection dst src c * matrixEquiv M

The matrix-vector product transports to Mathlib's Matrix.mulVec:

theoremvectorEquiv_mulVec [Semiring R] (M : Hex.Matrix R n m) (v : Vector R m) :
vectorEquiv (M * v) = (matrixEquiv M).mulVec (vectorEquiv v)

The executable matrices and their operations live in hex-matrix. The determinant, row reduction, and Bareiss correspondences build on this base in their own bridge libraries.

Reference manual

The Mathlib correspondence section of the hex reference manual covers this library at https://kim-em.github.io/hex-dev/find/?domain=Verso.Genre.Manual.section&name=hex-matrix-mathlib.

Contributing

Development happens in the hex-dev monorepo, not in this published mirror. Contributions are welcome as pull requests to the SPEC/ directory: describe the behaviour you want, and leave the implementation to the maintainer.

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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hex-matrix-mathlib

Part of hex, a computer algebra library for Lean 4. The aim is fast executable code, fully verified, built with spec-driven development.

hex-matrix-mathlib is the Mathlib bridge for hex-matrix. It identifies the executable dense matrices with Mathlib's function-based Matrix, so that Mathlib's linear-algebra results transfer to the computable representation. This library depends on Mathlib and on hex-matrix.

Quickstart

Add to your lakefile.toml:

[[require]]
name = "hex-matrix-mathlib"git = "https://github.com/leanprover/hex-matrix-mathlib.git"rev = "main"
import HexMatrixMathlib
open Hex HexMatrixMathlib
-- Every executable matrix corresponds to a Mathlib matrix with the same entries.#check @matrixEquiv -- Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R#check @matrixEquiv_apply -- matrixEquiv M i j = M[i][j]-- Elementary row operations become Mathlib's elementary matrices.#check @matrixEquiv_rowSwap -- left multiply by Matrix.swap#check @matrixEquiv_rowAdd -- left multiply by Matrix.transvection-- The executable arithmetic is Mathlib's algebraic tower.#check @matrixRingEquiv -- Hex.Matrix R n n ≃+* Matrix (Fin n) (Fin n) R

Functionality

The proof-facing API connecting the two matrix worlds:

  • the equivalence matrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R and its companion vectorEquiv : Vector R n ≃ (Fin n → R);
  • the algebraic instances on Hex.Matrix whose operations are the executable ones: AddCommMonoid, AddCommGroup, Module, instSemiring, instRing, and instAlgebra, transported along matrixEquiv;
  • the bundled upgrades matrixAddEquiv, matrixLinearEquiv, matrixRingEquiv, and matrixAlgEquiv;
  • the row-operation dictionary matrixEquiv_rowSwap, matrixEquiv_rowScale, and matrixEquiv_rowAdd;
  • transfer lemmas for the container API: matrixEquiv_transpose, matrixEquiv_setRow, matrixEquiv_setCol, matrixEquiv_gramMatrix, matrixEquiv_principalSubmatrix, and the matrix-vector product vectorEquiv_mulVec.

Verification

The correspondence is fully proven. The algebraic instances are transported across matrixEquiv, so their laws are Mathlib's; the @[simp, grind] transfer lemmas (matrixEquiv_add, matrixEquiv_mul, matrixEquiv_one, matrixEquiv_smul, and the rest) let simp and grind rewrite between the two representations.

The headline equivalence sends each matrix to the Mathlib matrix with the same entries:

defmatrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R
theoremmatrixEquiv_apply (M : Hex.Matrix R n m) (i : Fin n) (j : Fin m) :
matrixEquiv M i j = M[i][j]

The elementary row operations correspond to Mathlib's elementary matrices. A swap is left multiplication by the permutation matrix Matrix.swap:

theoremmatrixEquiv_rowSwap (M : Hex.Matrix R n m) (i j : Fin n) :
matrixEquiv (Hex.Matrix.rowSwap M i j) = Matrix.swap R i j * matrixEquiv M

A row addition is left multiplication by Matrix.transvection:

theoremmatrixEquiv_rowAdd (M : Hex.Matrix R n m) (src dst : Fin n) (c : R) :
matrixEquiv (Hex.Matrix.rowAdd M src dst c) =
Matrix.transvection dst src c * matrixEquiv M

The matrix-vector product transports to Mathlib's Matrix.mulVec:

theoremvectorEquiv_mulVec [Semiring R] (M : Hex.Matrix R n m) (v : Vector R m) :
vectorEquiv (M * v) = (matrixEquiv M).mulVec (vectorEquiv v)

The executable matrices and their operations live in hex-matrix. The determinant, row reduction, and Bareiss correspondences build on this base in their own bridge libraries.

Reference manual

The Mathlib correspondence section of the hex reference manual covers this library at https://kim-em.github.io/hex-dev/find/?domain=Verso.Genre.Manual.section&name=hex-matrix-mathlib.

Contributing

Development happens in the hex-dev monorepo, not in this published mirror. Contributions are welcome as pull requests to the SPEC/ directory: describe the behaviour you want, and leave the implementation to the maintainer.

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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hex-matrix-mathlib

Part of hex, a computer algebra library for Lean 4. The aim is fast executable code, fully verified, built with spec-driven development.

hex-matrix-mathlib is the Mathlib bridge for hex-matrix. It identifies the executable dense matrices with Mathlib's function-based Matrix, so that Mathlib's linear-algebra results transfer to the computable representation. This library depends on Mathlib and on hex-matrix.

Quickstart

Add to your lakefile.toml:

[[require]]
name = "hex-matrix-mathlib"git = "https://github.com/leanprover/hex-matrix-mathlib.git"rev = "main"
import HexMatrixMathlib
open Hex HexMatrixMathlib
-- Every executable matrix corresponds to a Mathlib matrix with the same entries.#check @matrixEquiv -- Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R#check @matrixEquiv_apply -- matrixEquiv M i j = M[i][j]-- Elementary row operations become Mathlib's elementary matrices.#check @matrixEquiv_rowSwap -- left multiply by Matrix.swap#check @matrixEquiv_rowAdd -- left multiply by Matrix.transvection-- The executable arithmetic is Mathlib's algebraic tower.#check @matrixRingEquiv -- Hex.Matrix R n n ≃+* Matrix (Fin n) (Fin n) R

Functionality

The proof-facing API connecting the two matrix worlds:

  • the equivalence matrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R and its companion vectorEquiv : Vector R n ≃ (Fin n → R);
  • the algebraic instances on Hex.Matrix whose operations are the executable ones: AddCommMonoid, AddCommGroup, Module, instSemiring, instRing, and instAlgebra, transported along matrixEquiv;
  • the bundled upgrades matrixAddEquiv, matrixLinearEquiv, matrixRingEquiv, and matrixAlgEquiv;
  • the row-operation dictionary matrixEquiv_rowSwap, matrixEquiv_rowScale, and matrixEquiv_rowAdd;
  • transfer lemmas for the container API: matrixEquiv_transpose, matrixEquiv_setRow, matrixEquiv_setCol, matrixEquiv_gramMatrix, matrixEquiv_principalSubmatrix, and the matrix-vector product vectorEquiv_mulVec.

Verification

The correspondence is fully proven. The algebraic instances are transported across matrixEquiv, so their laws are Mathlib's; the @[simp, grind] transfer lemmas (matrixEquiv_add, matrixEquiv_mul, matrixEquiv_one, matrixEquiv_smul, and the rest) let simp and grind rewrite between the two representations.

The headline equivalence sends each matrix to the Mathlib matrix with the same entries:

defmatrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R
theoremmatrixEquiv_apply (M : Hex.Matrix R n m) (i : Fin n) (j : Fin m) :
matrixEquiv M i j = M[i][j]

The elementary row operations correspond to Mathlib's elementary matrices. A swap is left multiplication by the permutation matrix Matrix.swap:

theoremmatrixEquiv_rowSwap (M : Hex.Matrix R n m) (i j : Fin n) :
matrixEquiv (Hex.Matrix.rowSwap M i j) = Matrix.swap R i j * matrixEquiv M

A row addition is left multiplication by Matrix.transvection:

theoremmatrixEquiv_rowAdd (M : Hex.Matrix R n m) (src dst : Fin n) (c : R) :
matrixEquiv (Hex.Matrix.rowAdd M src dst c) =
Matrix.transvection dst src c * matrixEquiv M

The matrix-vector product transports to Mathlib's Matrix.mulVec:

theoremvectorEquiv_mulVec [Semiring R] (M : Hex.Matrix R n m) (v : Vector R m) :
vectorEquiv (M * v) = (matrixEquiv M).mulVec (vectorEquiv v)

The executable matrices and their operations live in hex-matrix. The determinant, row reduction, and Bareiss correspondences build on this base in their own bridge libraries.

Reference manual

The Mathlib correspondence section of the hex reference manual covers this library at https://kim-em.github.io/hex-dev/find/?domain=Verso.Genre.Manual.section&name=hex-matrix-mathlib.

Contributing

Development happens in the hex-dev monorepo, not in this published mirror. Contributions are welcome as pull requests to the SPEC/ directory: describe the behaviour you want, and leave the implementation to the maintainer.

Releases

Packages

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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hex-matrix-mathlib

Part of hex, a computer algebra library for Lean 4. The aim is fast executable code, fully verified, built with spec-driven development.

hex-matrix-mathlib is the Mathlib bridge for hex-matrix. It identifies the executable dense matrices with Mathlib's function-based Matrix, so that Mathlib's linear-algebra results transfer to the computable representation. This library depends on Mathlib and on hex-matrix.

Quickstart

Add to your lakefile.toml:

[[require]]
name = "hex-matrix-mathlib"git = "https://github.com/leanprover/hex-matrix-mathlib.git"rev = "main"
import HexMatrixMathlib
open Hex HexMatrixMathlib
-- Every executable matrix corresponds to a Mathlib matrix with the same entries.#check @matrixEquiv -- Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R#check @matrixEquiv_apply -- matrixEquiv M i j = M[i][j]-- Elementary row operations become Mathlib's elementary matrices.#check @matrixEquiv_rowSwap -- left multiply by Matrix.swap#check @matrixEquiv_rowAdd -- left multiply by Matrix.transvection-- The executable arithmetic is Mathlib's algebraic tower.#check @matrixRingEquiv -- Hex.Matrix R n n ≃+* Matrix (Fin n) (Fin n) R

Functionality

The proof-facing API connecting the two matrix worlds:

  • the equivalence matrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R and its companion vectorEquiv : Vector R n ≃ (Fin n → R);
  • the algebraic instances on Hex.Matrix whose operations are the executable ones: AddCommMonoid, AddCommGroup, Module, instSemiring, instRing, and instAlgebra, transported along matrixEquiv;
  • the bundled upgrades matrixAddEquiv, matrixLinearEquiv, matrixRingEquiv, and matrixAlgEquiv;
  • the row-operation dictionary matrixEquiv_rowSwap, matrixEquiv_rowScale, and matrixEquiv_rowAdd;
  • transfer lemmas for the container API: matrixEquiv_transpose, matrixEquiv_setRow, matrixEquiv_setCol, matrixEquiv_gramMatrix, matrixEquiv_principalSubmatrix, and the matrix-vector product vectorEquiv_mulVec.

Verification

The correspondence is fully proven. The algebraic instances are transported across matrixEquiv, so their laws are Mathlib's; the @[simp, grind] transfer lemmas (matrixEquiv_add, matrixEquiv_mul, matrixEquiv_one, matrixEquiv_smul, and the rest) let simp and grind rewrite between the two representations.

The headline equivalence sends each matrix to the Mathlib matrix with the same entries:

defmatrixEquiv : Hex.Matrix R n m ≃ Matrix (Fin n) (Fin m) R
theoremmatrixEquiv_apply (M : Hex.Matrix R n m) (i : Fin n) (j : Fin m) :
matrixEquiv M i j = M[i][j]

The elementary row operations correspond to Mathlib's elementary matrices. A swap is left multiplication by the permutation matrix Matrix.swap:

theoremmatrixEquiv_rowSwap (M : Hex.Matrix R n m) (i j : Fin n) :
matrixEquiv (Hex.Matrix.rowSwap M i j) = Matrix.swap R i j * matrixEquiv M

A row addition is left multiplication by Matrix.transvection:

theoremmatrixEquiv_rowAdd (M : Hex.Matrix R n m) (src dst : Fin n) (c : R) :
matrixEquiv (Hex.Matrix.rowAdd M src dst c) =
Matrix.transvection dst src c * matrixEquiv M

The matrix-vector product transports to Mathlib's Matrix.mulVec:

theoremvectorEquiv_mulVec [Semiring R] (M : Hex.Matrix R n m) (v : Vector R m) :
vectorEquiv (M * v) = (matrixEquiv M).mulVec (vectorEquiv v)

The executable matrices and their operations live in hex-matrix. The determinant, row reduction, and Bareiss correspondences build on this base in their own bridge libraries.

Reference manual

The Mathlib correspondence section of the hex reference manual covers this library at https://kim-em.github.io/hex-dev/find/?domain=Verso.Genre.Manual.section&name=hex-matrix-mathlib.

Contributing

Development happens in the hex-dev monorepo, not in this published mirror. Contributions are welcome as pull requests to the SPEC/ directory: describe the behaviour you want, and leave the implementation to the maintainer.

Releases

Packages

Contributors

Languages