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Add Shamir's Secret Sharing notes, update templates
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@@ -72,7 +72,7 @@ Let $(z_0, y_0), (z_1, y_1), …, (z_k, y_k)$ be the points that we want to
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The <em>commitment</em> to the polynomial stands the same than for single proofs: $c=[p(\tau)]_1$.</p>
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<p>For the evaluation proof, while in the single proofs we compute $q(x) = \frac{p(x)-y}{x-z}$, we will replace $y$ and $x-z$ by the following two polynomials.
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The constant $y$ is replaced by a polynomial that has roots at all the points that we want to prove. This is achieved by computing the <a href="https://en.wikipedia.org/wiki/Lagrange_polynomial">Lagrange interpolation</a> for the given set of points:</p>
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The constant $y$ is replaced by a polynomial that has roots at all the points that we want to prove. This is achieved by computing the <a href="/blog/shamir-secret-sharing.html#lagrange-polynomial%20interpolation">Lagrange interpolation</a> for the given set of points:</p>
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<p>$$
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I(x) = \sum_{j=0}^k y_j l_j(x)\newline
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@@ -188,6 +188,22 @@ The problem with Merkle Trees is that the proof size grows linearly with the siz
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console.log(theme);
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}
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</script>
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<script>
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function tagLinks(tagName) {
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var tags = document.getElementsByTagName(tagName);
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for (var i=0, hElem; hElem = tags[i]; i++) {
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if (hElem.parentNode.className=="row postThumb") {
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continue;
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}
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hElem.id = hElem.innerHTML.toLowerCase().replace(" ", "-");
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hElem.innerHTML = "<a style='text-decoration:none;color:black;' href='#"+hElem.id+"'>"+hElem.innerHTML+"</a>";
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}
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}
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tagLinks("h2");
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tagLinks("h3");
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tagLinks("h4");
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tagLinks("h5");
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</script>
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<script src="https://cdn.jsdelivr.net/npm/mermaid/dist/mermaid.min.js"></script>
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