{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Adaptive PDE discretizations on Cartesian grids\n",
    "## Volume : Algorithmic tools\n",
    "## Part : Tensor decomposition techniques\n",
    "## Chapter : Voronoi's reduction, in dimension 4 and 5\n",
    "\n",
    "\n",
    "This notebook presents some tensor decomposition techniques that are at the foundation of our anisotropic PDE discretizations on cartesian grids. The general objective is to express a given symmetric positive definite (SPD) matrix $D$ under the form\n",
    "$$\n",
    "    D = \\sum_{0 \\leq i < I} \\lambda_i e_i e_i^T,\n",
    "$$\n",
    "where $\\lambda_i \\geq 0$ is a non-negative weight, and $e_i \\in Z^d$ is an integral offset.\n",
    "This decomposition is a starting point for the design of various numerical schemes, for both first order and second order, linear and non-linear PDEs, which will be discussed in the subsequent notebooks.\n",
    "\n",
    "The techniques used for constructing the above decomposition are non-trivial, related to classical yet subtle tools of discrete geometry. In this notebook, we however insist more on their properties \n",
    "\n",
    "This notebook is devoted to the decomposition of SPD tensors of size $d \\times d$, where the dimension $d\\in \\{4,5\\}$. A simpler set of techniques applies in dimension $d \\in \\{2,3\\}$, see the notebook [I Tensor decomposition, dimensions 2 and 3](http://nbviewer.jupyter.org/urls/rawgithub.com/Mirebeau/AdaptiveGridDiscretizations/master/Notebooks/TensorSelling.ipynb)\n",
    "\n",
    "**Acknowledgement.** \n",
    "\n",
    "The experiments presented in this notebook are part of ongoing research, with PhD student Guillaume Bonnet, in co-direction with [Frederic Bonnans](http://www.cmap.polytechnique.fr/~bonnans/).\n",
    "\n",
    "\n",
    "**References.**\n",
    "\n",
    "The tensor decomposition presented in this notebook is a central ingredient of the following paper:\n",
    "\n",
    "Mirebeau, J.-M. (2017, April 12). Riemannian fast-marching on cartesian grids using Voronoi's first reduction of quadratic forms. HAL (Preprint)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[**Summary**](Summary.ipynb) of volume Algorithmic tools, this series of notebooks.\n",
    "\n",
    "[**Main summary**](../Summary.ipynb) of the Adaptive Grid Discretizations \n",
    "\tbook of notebooks, including the other volumes.\n",
    "\n",
    "# Table of contents\n",
    "  * [1. Computing the decomposition of a tensor](#1.-Computing-the-decomposition-of-a-tensor)\n",
    "    * [1.1 Case of a  $4 \\times 4$ tensor](#1.1-Case-of-a--$4-\\times-4$-tensor)\n",
    "    * [1.2 Case of a $5\\times 5$ tensor](#1.2-Case-of-a-$5\\times-5$-tensor)\n",
    "    * [1.3 A field of tensors](#1.3-A-field-of-tensors)\n",
    "  * [2. Under the hood: Voronoi's first reduction of tensors.](#2.-Under-the-hood:-Voronoi's-first-reduction-of-tensors.)\n",
    "    * [2.1 Comparing the objective function](#2.1-Comparing-the-objective-function)\n",
    "    * [2.2 Non-uniqueness of the maximizer](#2.2-Non-uniqueness-of-the-maximizer)\n",
    "  * [3. Properties of Voronoi's reduction](#3.-Properties-of-Voronoi's-reduction)\n",
    "    * [3.1 Smallness of the offsets](#3.1-Smallness-of-the-offsets)\n",
    "    * [3.2 Stability](#3.2-Stability)\n",
    "    * [3.3 Spanning, of the lattice $Z^d$ by the tensor decomposition offsets.](#3.3-Spanning,-of-the-lattice-$Z^d$-by-the-tensor-decomposition-offsets.)\n",
    "\n",
    "\n",
    "\n",
    "**Acknowledgement.** Some of the experiments presented in these notebooks are part of \n",
    "ongoing research with Ludovic Métivier and Da Chen.\n",
    "\n",
    "Copyright Jean-Marie Mirebeau, Centre Borelli, ENS Paris-Saclay, CNRS, University Paris-Saclay"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 0. Importing the required libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.488396Z",
     "iopub.status.busy": "2024-02-23T18:41:52.487827Z",
     "iopub.status.idle": "2024-02-23T18:41:52.497029Z",
     "shell.execute_reply": "2024-02-23T18:41:52.496382Z"
    }
   },
   "outputs": [],
   "source": [
    "import sys; sys.path.insert(0,\"..\") # Allow import of agd from parent directory (useless if conda package installed)\n",
    "#from Miscellaneous import TocTools; TocTools.displayTOC('TensorVoronoi','Algo')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.501132Z",
     "iopub.status.busy": "2024-02-23T18:41:52.500731Z",
     "iopub.status.idle": "2024-02-23T18:41:52.752087Z",
     "shell.execute_reply": "2024-02-23T18:41:52.751758Z"
    }
   },
   "outputs": [],
   "source": [
    "from agd import LinearParallel as lp\n",
    "from agd.Selling import GatherByOffset\n",
    "from agd.Plotting import savefig; #savefig.dirName = 'Figures/TensorVoronoi'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The routines for tensor decomposition are for efficiency purposes provided in a small c++ library, named FileVDQ where VDQ stands for \"Voronoi Decomposition of Quadratic forms\". This is in contrast with the two and three dimensional cases, where the decomposition algorithm is coded in Python (the c++ library can also be used in smaller dimensions). A function named `VoronoiDecomposition` provides the interface."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.753749Z",
     "iopub.status.busy": "2024-02-23T18:41:52.753634Z",
     "iopub.status.idle": "2024-02-23T18:41:52.805276Z",
     "shell.execute_reply": "2024-02-23T18:41:52.804782Z"
    }
   },
   "outputs": [],
   "source": [
    "from agd.Eikonal import VoronoiDecomposition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.806907Z",
     "iopub.status.busy": "2024-02-23T18:41:52.806721Z",
     "iopub.status.idle": "2024-02-23T18:41:52.812455Z",
     "shell.execute_reply": "2024-02-23T18:41:52.812219Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 0.1 Optional configuration\n",
    "\n",
    "Uncomment the following line to use the GPU implementation of Voronoi's decomposition."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.813806Z",
     "iopub.status.busy": "2024-02-23T18:41:52.813710Z",
     "iopub.status.idle": "2024-02-23T18:41:52.815525Z",
     "shell.execute_reply": "2024-02-23T18:41:52.815299Z"
    },
    "tags": [
     "EikonalGPU_config"
    ]
   },
   "outputs": [],
   "source": [
    "#VoronoiDecomposition.default_mode = 'gpu_transfer'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Computing the decomposition of a tensor\n",
    "\n",
    "We illustrate our tensor decomposition method on random positive definite matrices, of the form \n",
    "$$\n",
    "    D = A^T A,\n",
    "$$\n",
    "where $A$ is a square matrix with random coefficients w.r.t. the Gaussian normal law."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.816814Z",
     "iopub.status.busy": "2024-02-23T18:41:52.816736Z",
     "iopub.status.idle": "2024-02-23T18:41:52.818277Z",
     "shell.execute_reply": "2024-02-23T18:41:52.818073Z"
    }
   },
   "outputs": [],
   "source": [
    "def MakeRandomTensor(dim,shape = tuple()):\n",
    "    A = np.random.standard_normal( (dim,dim) + shape )\n",
    "    return lp.dot_AA(lp.transpose(A),A)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.819451Z",
     "iopub.status.busy": "2024-02-23T18:41:52.819361Z",
     "iopub.status.idle": "2024-02-23T18:41:52.820779Z",
     "shell.execute_reply": "2024-02-23T18:41:52.820566Z"
    }
   },
   "outputs": [],
   "source": [
    "# For reproducibility, we fix the random seed\n",
    "np.random.seed(42) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The inserse operation to tensor decomposition is, of course, reconstruction, defined by \n",
    "$$\n",
    "    (\\lambda_i, e_i)_{i=1}^I \\mapsto D = \\sum_{1 \\leq i \\leq I} \\lambda_i e_i e_i^T\n",
    "$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.822005Z",
     "iopub.status.busy": "2024-02-23T18:41:52.821932Z",
     "iopub.status.idle": "2024-02-23T18:41:52.823744Z",
     "shell.execute_reply": "2024-02-23T18:41:52.823522Z"
    }
   },
   "outputs": [],
   "source": [
    "def Reconstruct(coefs,offsets):\n",
    "     return lp.mult(coefs,lp.outer_self(offsets)).sum(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.824877Z",
     "iopub.status.busy": "2024-02-23T18:41:52.824805Z",
     "iopub.status.idle": "2024-02-23T18:41:52.826484Z",
     "shell.execute_reply": "2024-02-23T18:41:52.826275Z"
    }
   },
   "outputs": [],
   "source": [
    "def LInfNorm(a):\n",
    "    return np.max(np.abs(a))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.1 Case of a  $4 \\times 4$ tensor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.827722Z",
     "iopub.status.busy": "2024-02-23T18:41:52.827650Z",
     "iopub.status.idle": "2024-02-23T18:41:52.829302Z",
     "shell.execute_reply": "2024-02-23T18:41:52.829093Z"
    }
   },
   "outputs": [],
   "source": [
    "D4 = MakeRandomTensor(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.830449Z",
     "iopub.status.busy": "2024-02-23T18:41:52.830350Z",
     "iopub.status.idle": "2024-02-23T18:41:52.832325Z",
     "shell.execute_reply": "2024-02-23T18:41:52.832110Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 0.58050469 -0.73151355 -0.24786425  0.65940888]\n",
      " [-0.73151355  4.02894983  2.589515    0.43286178]\n",
      " [-0.24786425  2.589515    6.10351105  3.38411893]\n",
      " [ 0.65940888  0.43286178  3.38411893  3.44164748]]\n"
     ]
    }
   ],
   "source": [
    "print(D4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.833534Z",
     "iopub.status.busy": "2024-02-23T18:41:52.833447Z",
     "iopub.status.idle": "2024-02-23T18:41:52.841731Z",
     "shell.execute_reply": "2024-02-23T18:41:52.841367Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our decomposition, of a $4 \\times 4$ SPD tensor, involves either $10$ or $12$ coefficients and offsets. \n",
    "If the tensor is randomly generated, then each possibility arises with positive probability, in approximately half the cases.\n",
    "\n",
    "For uniformity of the data structures, we always return $12$ coefficients and offsets, but the last two are often zero."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.843223Z",
     "iopub.status.busy": "2024-02-23T18:41:52.843114Z",
     "iopub.status.idle": "2024-02-23T18:41:52.845423Z",
     "shell.execute_reply": "2024-02-23T18:41:52.845232Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coefficients :  [1.73966329 0.06642844 0.15724673 0.18106995 0.16328382 0.00623787\n",
      " 1.38738859 0.93488664 0.00623787 0.27498616 0.302155   0.00623787]\n",
      "Offsets : \n",
      " [[ 0  1  1  1  1  1  0  0  0  0  0  1]\n",
      " [ 1 -1 -2 -1 -1  0  0  1  1  0  1 -1]\n",
      " [ 0  1 -1  0 -1  1  1  2  1  1  1  0]\n",
      " [ 0  2  1  1  1  2  1  1  0  0  1  2]]\n"
     ]
    }
   ],
   "source": [
    "print(\"Coefficients : \", coefs)\n",
    "print(\"Offsets : \\n\", offsets.astype(int))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By design, the coefficients are non-negative, and the reconstruction is exact up to numerical precision."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.846623Z",
     "iopub.status.busy": "2024-02-23T18:41:52.846535Z",
     "iopub.status.idle": "2024-02-23T18:41:52.848550Z",
     "shell.execute_reply": "2024-02-23T18:41:52.848318Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimal coefficient :  0.006237872725368132\n",
      "Reconstruction error :  8.881784197001252e-16\n"
     ]
    }
   ],
   "source": [
    "print(\"Minimal coefficient : \", np.min(coefs))\n",
    "print(\"Reconstruction error : \", LInfNorm(D4-Reconstruct(coefs,offsets)))\n",
    "assert np.allclose(D4,Reconstruct(coefs,offsets))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Drawing another tensor at random, we observe only $10$ non-zero coefficients and offsets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.849717Z",
     "iopub.status.busy": "2024-02-23T18:41:52.849631Z",
     "iopub.status.idle": "2024-02-23T18:41:52.851397Z",
     "shell.execute_reply": "2024-02-23T18:41:52.851187Z"
    }
   },
   "outputs": [],
   "source": [
    "MakeRandomTensor(4), MakeRandomTensor(4); # Please do not comment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.852477Z",
     "iopub.status.busy": "2024-02-23T18:41:52.852392Z",
     "iopub.status.idle": "2024-02-23T18:41:52.859997Z",
     "shell.execute_reply": "2024-02-23T18:41:52.859712Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coefficients :  [0.07072164 0.67380855 0.17172141 0.01978496 0.18202013 2.27992042\n",
      " 0.00239801 0.33441994 0.49956443 1.96547794 0.         0.        ]\n",
      "Offsets : \n",
      " [[ 0  1  0  0  0  0  1  1  1  0  0  0]\n",
      " [ 2 -1  1  1  1  1  1  0  0  0  0  0]\n",
      " [ 0  0  0 -1  1  0  0 -1  0  1  0  0]\n",
      " [ 1 -1  1  0  1  0  0 -1  0  1  0  0]]\n"
     ]
    }
   ],
   "source": [
    "D4b= MakeRandomTensor(4)\n",
    "coefs,offsets = VoronoiDecomposition(D4b)\n",
    "print(\"Coefficients : \", coefs)\n",
    "print(\"Offsets : \\n\", offsets.astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.861315Z",
     "iopub.status.busy": "2024-02-23T18:41:52.861215Z",
     "iopub.status.idle": "2024-02-23T18:41:52.863097Z",
     "shell.execute_reply": "2024-02-23T18:41:52.862877Z"
    }
   },
   "outputs": [],
   "source": [
    "assert np.allclose(D4b,Reconstruct(coefs,offsets))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.2 Case of a $5\\times 5$ tensor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.864310Z",
     "iopub.status.busy": "2024-02-23T18:41:52.864222Z",
     "iopub.status.idle": "2024-02-23T18:41:52.865922Z",
     "shell.execute_reply": "2024-02-23T18:41:52.865701Z"
    }
   },
   "outputs": [],
   "source": [
    "D5 = MakeRandomTensor(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.867092Z",
     "iopub.status.busy": "2024-02-23T18:41:52.867003Z",
     "iopub.status.idle": "2024-02-23T18:41:52.868915Z",
     "shell.execute_reply": "2024-02-23T18:41:52.868703Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 1.25435342e+01 -4.42058086e-01 -2.72865159e+00 -1.58137791e+00\n",
      "   5.02471743e-01]\n",
      " [-4.42058086e-01  2.94553339e+00 -8.03620276e-03  6.12724263e-01\n",
      "   1.51099932e+00]\n",
      " [-2.72865159e+00 -8.03620276e-03  3.34380956e+00  6.75320007e-01\n",
      "   1.71840079e+00]\n",
      " [-1.58137791e+00  6.12724263e-01  6.75320007e-01  3.39001528e+00\n",
      "  -6.60686207e-01]\n",
      " [ 5.02471743e-01  1.51099932e+00  1.71840079e+00 -6.60686207e-01\n",
      "   3.13656032e+00]]\n"
     ]
    }
   ],
   "source": [
    "print(D5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.870066Z",
     "iopub.status.busy": "2024-02-23T18:41:52.869988Z",
     "iopub.status.idle": "2024-02-23T18:41:52.876656Z",
     "shell.execute_reply": "2024-02-23T18:41:52.876314Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our decomposition of $5 \\times 5$ SPD tensors always involves $15$ coefficients and offsets. (Some coefficients may vanish but, contrary to the four dimensional case, this occurs with probability zero.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.878144Z",
     "iopub.status.busy": "2024-02-23T18:41:52.878040Z",
     "iopub.status.idle": "2024-02-23T18:41:52.880336Z",
     "shell.execute_reply": "2024-02-23T18:41:52.880087Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coefficients :  [0.9851582  5.91306866 0.16216179 0.16119026 0.54030804 1.33730873\n",
      " 0.8835638  0.80238202 0.24029056 0.09283979 0.10087599 0.28825227\n",
      " 0.34849989 0.5609605  0.37243394]\n",
      "Offsets : \n",
      " [[ 1  1  0  2  0  0  1  1  1  1  1  1  1  2  0]\n",
      " [-1  0  1  0  0  0  1  0  0 -1  1  0 -1  0  1]\n",
      " [ 0  0  0 -1  0  1  0 -1  0 -1 -1 -1  0 -1  0]\n",
      " [-1  0  0 -1  1  0  0 -1  1  0  0  1  0  0 -1]\n",
      " [ 0  0  1  0  0  1  1  0  0 -1  0 -1  0  0  1]]\n"
     ]
    }
   ],
   "source": [
    "print(\"Coefficients : \", coefs)\n",
    "print(\"Offsets : \\n\", offsets.astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.881533Z",
     "iopub.status.busy": "2024-02-23T18:41:52.881439Z",
     "iopub.status.idle": "2024-02-23T18:41:52.883396Z",
     "shell.execute_reply": "2024-02-23T18:41:52.883169Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimal coefficient :  0.0928397860290473\n",
      "Reconstruction error :  3.552713678800501e-15\n"
     ]
    }
   ],
   "source": [
    "print(\"Minimal coefficient : \", np.min(coefs))\n",
    "print(\"Reconstruction error : \", LInfNorm(D5-Reconstruct(coefs,offsets)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.884496Z",
     "iopub.status.busy": "2024-02-23T18:41:52.884411Z",
     "iopub.status.idle": "2024-02-23T18:41:52.886225Z",
     "shell.execute_reply": "2024-02-23T18:41:52.886020Z"
    }
   },
   "outputs": [],
   "source": [
    "assert np.allclose(D5,Reconstruct(coefs,offsets),atol=1e-5) # atol is for float32"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1.3 A field of tensors\n",
    "\n",
    "When provided with a numerical array shaped as $(d,d,n)$, or $(d,d,n_1,\\cdots,n_d)$, our tensor decomposition routine automatically threads over the inner dimensions $n$ or $n_1,\\cdots, n_d$.\n",
    "\n",
    "<!---\n",
    "**TODO** Perform a reshape in VDEUtils python library, avoiding such restrictions, and simplifying the c++ code ?\n",
    "In fact the present code makes sense, in case one wants to implement anisotropic diffusion directly in c++.\n",
    "\n",
    "This facility is intended for use in adaptive finite difference PDE schemes.\n",
    "Note, however, that the field of $d \\times d$ tensors, may only have depth $1$ or $d$.\n",
    "-->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.887372Z",
     "iopub.status.busy": "2024-02-23T18:41:52.887285Z",
     "iopub.status.idle": "2024-02-23T18:41:52.888990Z",
     "shell.execute_reply": "2024-02-23T18:41:52.888774Z"
    }
   },
   "outputs": [],
   "source": [
    "D4_field = MakeRandomTensor(4,(10,))\n",
    "# Alternatively\n",
    "#D4_field = MakeRandomTensor(4,(2,2,2,2))\n",
    "#D5_field = MakeRandomTensor(4,(2,2,2,2,2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.890071Z",
     "iopub.status.busy": "2024-02-23T18:41:52.889991Z",
     "iopub.status.idle": "2024-02-23T18:41:52.896745Z",
     "shell.execute_reply": "2024-02-23T18:41:52.896414Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D4_field)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.898140Z",
     "iopub.status.busy": "2024-02-23T18:41:52.898024Z",
     "iopub.status.idle": "2024-02-23T18:41:52.900053Z",
     "shell.execute_reply": "2024-02-23T18:41:52.899846Z"
    }
   },
   "outputs": [],
   "source": [
    "assert np.allclose(D4_field,Reconstruct(coefs,offsets))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Under the hood: Voronoi's first reduction of tensors.\n",
    "\n",
    "The tensor decompositions computed in this notebook are the result of a linear program, which is well known in the field of lattice geometry (a subfield of discrete computational geometry).\n",
    "The dual to this linear program is often referred to as Voronoi's first reduction. \n",
    "\n",
    "In detail, the decomposition of a tensor $D$ proceeeds by maximizing the sum of the weights\n",
    "$$\n",
    "    \\text{maximize} \\quad \n",
    "    \\sum_{1 \\leq i \\leq I} \\lambda_i,\n",
    "$$\n",
    "while the constraints enforce that the decomposition is valid\n",
    "$$\n",
    "    \\text{subject to} \\quad \n",
    "    \\lambda_i \\geq 0, \\quad \n",
    "    e_i \\in Z^d, \\quad\n",
    "    \\text{and}  \\quad\n",
    "    \\sum_{1 \\leq i \\leq I} \\lambda_i e_i e_i^T = D.\n",
    "$$\n",
    "Note that the vectors $e_i \\in Z^d$ are not fixed a-priori, and that $I$ is not bounded a-priori, hence that optimization problem is strictly speaking infinite dimensional.\n",
    "\n",
    "Two motivations can be invoqued to justify the choice of objective function, which is the sum of the decomposition coefficients. Indeed, this approach:\n",
    "* Promotes small offsets. This is clear in view of the trace identity\n",
    "$$\n",
    "    \\mathrm{Tr}(D) = \\sum_{1 \\leq i \\leq I} \\lambda_i \\|e_i\\|^2,\n",
    "$$\n",
    "which relate the coefficients magnitudes with the offsets norms.\n",
    "* Is highly symmetrical, allowing for efficient implementations. The numerical cost of our optimized implementation is expected to be low enough to compute one such decomposition for each point of the discretization grid of a PDE.\n",
    "\n",
    "It can be shown that Voronoi's first reduction, the above linear program, has at least one solution for each positive definite symmetric matrix $D$. \n",
    "Interestingly however, the solution may not be unique, so that a selection principle becomes necessary. More precisely:\n",
    "* In dimension $2$ and $3$, the linear program actually always has a unique solution, which can also be computed using Selling's algorithm, see the relevant notebook [I Tensor decomposition, dimensions 2 and 3](http://nbviewer.jupyter.org/urls/rawgithub.com/Mirebeau/HFM_Python_Notebooks/master/TensorSelling.ipynb).\n",
    "* In dimension $4$, the linear program either has a unique solution, or a set of solutions that forms a triangle (equilateral) in the coefficients space. In the latter case, the triangle barycenter is returned.\n",
    "* In dimension $5$, the linear program often has a $5$ dimensional set of solutions, forming a convex polyhedron. A vertex of this polyhedron is selected, in a consistent manner so as to ensure the continuity of the coefficients. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.1 Comparing the objective function\n",
    "\n",
    "We empirically check, on a random example, that our tensor decomposition yields a large sum of coefficients.\n",
    "\n",
    "For that purpose, we generate a matrix $D = \\sum_{i=1}^I \\lambda_i e_i e_i^T$ by drawing randomly the weights \n",
    "$(\\lambda_i)$ and offsets $e_i$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.901277Z",
     "iopub.status.busy": "2024-02-23T18:41:52.901192Z",
     "iopub.status.idle": "2024-02-23T18:41:52.903024Z",
     "shell.execute_reply": "2024-02-23T18:41:52.902821Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs = np.random.standard_normal(15)**2\n",
    "offsets = np.random.uniform(-5,5,(5,15)).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.904135Z",
     "iopub.status.busy": "2024-02-23T18:41:52.904053Z",
     "iopub.status.idle": "2024-02-23T18:41:52.905617Z",
     "shell.execute_reply": "2024-02-23T18:41:52.905425Z"
    }
   },
   "outputs": [],
   "source": [
    "D5b = Reconstruct(coefs,offsets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.906724Z",
     "iopub.status.busy": "2024-02-23T18:41:52.906633Z",
     "iopub.status.idle": "2024-02-23T18:41:52.908674Z",
     "shell.execute_reply": "2024-02-23T18:41:52.908445Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of coefficients :  26.029629166601506\n",
      "Coefficients :  [1.64010186e-01 1.58982835e+00 8.42470554e-01 4.50354692e+00\n",
      " 1.06598451e+00 2.30848509e+00 2.34482637e-01 1.60506386e+00\n",
      " 5.00796073e-01 1.96975685e-01 6.00057917e-01 8.59200099e-01\n",
      " 3.54326801e-03 1.05058140e+01 1.04937004e+00]\n",
      "Offsets ; \n",
      " [[-3  0 -1  1  1 -4 -1  1  0  3  1 -3 -4  1 -4]\n",
      " [ 0  4  0 -1  1  0  0  4 -1  4  4 -3 -4 -3 -4]\n",
      " [-4  1 -4 -1  3 -4  3 -2 -3  1  1  3  2  3 -2]\n",
      " [-3  2  3  4  0 -1  2 -1  4  3  0  2  2 -3  4]\n",
      " [ 0  3 -1  3 -1 -4  4 -4 -1  4  4  0  1  0 -2]]\n"
     ]
    }
   ],
   "source": [
    "print(\"Sum of coefficients : \", np.sum(coefs))\n",
    "print(\"Coefficients : \", coefs)\n",
    "print(\"Offsets ; \\n\", offsets)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our tensor decomposition yields, as expected, a larger sum of coefficients."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.909846Z",
     "iopub.status.busy": "2024-02-23T18:41:52.909765Z",
     "iopub.status.idle": "2024-02-23T18:41:52.916263Z",
     "shell.execute_reply": "2024-02-23T18:41:52.915950Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D5b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.917602Z",
     "iopub.status.busy": "2024-02-23T18:41:52.917498Z",
     "iopub.status.idle": "2024-02-23T18:41:52.919841Z",
     "shell.execute_reply": "2024-02-23T18:41:52.919646Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of new coefficients 411.51346376975914\n",
      "Coefficients :  [  0.45441405  42.80148792   3.89099871  80.67126692  10.11443835\n",
      "   2.63908912   0.35419077  26.78412094  23.91171188  17.48091081\n",
      "   7.15102796  10.27693749  61.22356591 100.25658831  23.50271461]\n",
      "Offsets ; \n",
      " [[ 1  1  0  0  1  1  1  0  0  1  0  1  0  0  0]\n",
      " [ 1  0  0  0  0  0  1  1  0  0  0  0  1  1  0]\n",
      " [ 0  1  0  0  1  0  0 -1  0  1  1  0 -1  0  1]\n",
      " [ 0  0  0  1 -1  0  0  0  1 -1  0  0  1  0 -1]\n",
      " [ 1  1  1  1  1  1  0  0  0  0  0  0  0  0  0]]\n"
     ]
    }
   ],
   "source": [
    "print(\"Sum of new coefficients\", np.sum(coefs))\n",
    "print(\"Coefficients : \", coefs)\n",
    "print(\"Offsets ; \\n\", offsets.astype(int))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this second example, we expose the non-linearity of our tensor decomposition by comparing:\n",
    "* The average of the decompositions of two tensors.\n",
    "* The decomposition of the average tensor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.920993Z",
     "iopub.status.busy": "2024-02-23T18:41:52.920902Z",
     "iopub.status.idle": "2024-02-23T18:41:52.935538Z",
     "shell.execute_reply": "2024-02-23T18:41:52.935236Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of coefficients, average decomposition :  5.712829835862355\n",
      "Sum of coefficients, decomposition of the average :  7.5782526717648695\n"
     ]
    }
   ],
   "source": [
    "coefs0,_  = VoronoiDecomposition(D4)\n",
    "coefs1,_  = VoronoiDecomposition(D4b)\n",
    "coefs01,_ = VoronoiDecomposition(D4+D4b)\n",
    "print(\"Sum of coefficients, average decomposition : \", 0.5*(np.sum(coefs0)+np.sum(coefs1)))\n",
    "print(\"Sum of coefficients, decomposition of the average : \", 0.5*np.sum(coefs01))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2.2 Non-uniqueness of the maximizer\n",
    "\n",
    "We illustrate a case where a tensor $D$ admits several optimal decompositions, all maximizing the coefficients sum.\n",
    "The specific example chosen is also interesting from the point of view of the spanning property, discussed in the next section.\n",
    "\n",
    "Note that the choice of theses offsets is very specific, coming from a fine theoretical description of Voronoi's first reduction, the associated *perfect forms*, and their minimal vectors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.936956Z",
     "iopub.status.busy": "2024-02-23T18:41:52.936847Z",
     "iopub.status.idle": "2024-02-23T18:41:52.938868Z",
     "shell.execute_reply": "2024-02-23T18:41:52.938647Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs_NonUnique = np.array([1,1,1,1])\n",
    "offsets_NonUnique = np.transpose(np.array([[0,0,1,0],[0,1,0,-1],[1,-1,0,0],[1,0,-1,1]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.940058Z",
     "iopub.status.busy": "2024-02-23T18:41:52.939969Z",
     "iopub.status.idle": "2024-02-23T18:41:52.941683Z",
     "shell.execute_reply": "2024-02-23T18:41:52.941481Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of coefficients :  4\n"
     ]
    }
   ],
   "source": [
    "print(\"Sum of coefficients : \", np.sum(coefs_NonUnique))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.942821Z",
     "iopub.status.busy": "2024-02-23T18:41:52.942743Z",
     "iopub.status.idle": "2024-02-23T18:41:52.944415Z",
     "shell.execute_reply": "2024-02-23T18:41:52.944210Z"
    }
   },
   "outputs": [],
   "source": [
    "D4_NonUnique = Reconstruct(coefs_NonUnique,offsets_NonUnique)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.945529Z",
     "iopub.status.busy": "2024-02-23T18:41:52.945443Z",
     "iopub.status.idle": "2024-02-23T18:41:52.951879Z",
     "shell.execute_reply": "2024-02-23T18:41:52.951570Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D4_NonUnique)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The tensor decomposition returned by our software is different, but the coefficients sum is no smaller."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.953215Z",
     "iopub.status.busy": "2024-02-23T18:41:52.953116Z",
     "iopub.status.idle": "2024-02-23T18:41:52.955525Z",
     "shell.execute_reply": "2024-02-23T18:41:52.955305Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of new coefficients :  4.000000000000001\n",
      "Coefficients :  [0.33333333 0.33333333 0.33333333 0.33333333 0.33333333 0.33333333\n",
      " 0.33333333 0.33333333 0.33333333 0.33333333 0.33333333 0.33333333]\n",
      "Offsets : \n",
      " [[ 0  0  0  1  0  0  1  0  1  1  1  1]\n",
      " [ 0  0  1  0  1  0  0  1 -1 -1  0 -1]\n",
      " [ 0  1  0  0  0  1 -1 -1  0  0 -1 -1]\n",
      " [ 1  0  0  0 -1 -1  0  0  0  1  1  1]]\n"
     ]
    }
   ],
   "source": [
    "print(\"Sum of new coefficients : \", np.sum(coefs))\n",
    "print(\"Coefficients : \", coefs)\n",
    "print(\"Offsets : \\n\", offsets.astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.956718Z",
     "iopub.status.busy": "2024-02-23T18:41:52.956630Z",
     "iopub.status.idle": "2024-02-23T18:41:52.958391Z",
     "shell.execute_reply": "2024-02-23T18:41:52.958179Z"
    }
   },
   "outputs": [],
   "source": [
    "assert np.allclose(D4_NonUnique, Reconstruct(coefs,offsets) )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Properties of Voronoi's reduction\n",
    "\n",
    "We discuss three properties of the implemented tensor decomposition\n",
    "$$\n",
    "    D \\mapsto (\\lambda_i, e_i)_{i=1}^I,\n",
    "$$\n",
    "which seems to be desirable from the implementation point of view. There properties are\n",
    "* **Smallness** of the offsets $e_i \\in Z^d$.\n",
    "* **Stability** of the coefficients $\\lambda_i \\in R$\n",
    "* **Spanning** of the full lattice $Z^d$, by the offsets $(e_i)_{i=1}^I$. (Not always satisfied if $d=5$.)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 Smallness of the offsets\n",
    "\n",
    "By design, by the choice of the objective function in the underlying linear program, Voronoi's first reduction promotes small offsets in the tensor decompositions produced.\n",
    "It is also possible to bound the offsets norm in terms of the tensor condition number\n",
    "$$\n",
    "    \\|e_i\\| \\leq C \\mu(D)^{d-1}\n",
    "$$\n",
    "where $\\mu(D) := \\sqrt{\\|D\\| \\|D^{-1}\\|}$ and $C$ is an absolute constant. \n",
    "\n",
    "\n",
    "Note that this theoretical bound is not sharp in dimension $d=3$, in that case one can prove that $\\|e_i\\| \\leq C \\mu(D)$, and may not be sharp either in higher dimension."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.959599Z",
     "iopub.status.busy": "2024-02-23T18:41:52.959511Z",
     "iopub.status.idle": "2024-02-23T18:41:52.961086Z",
     "shell.execute_reply": "2024-02-23T18:41:52.960901Z"
    }
   },
   "outputs": [],
   "source": [
    "mu=10"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We generate a SPD tensor with condition number $\\mu$, and compare $\\max_{1 \\leq i \\leq d} \\|e_i\\|$ with $\\mu$. Successively $d=4$ and then $d=5$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.962277Z",
     "iopub.status.busy": "2024-02-23T18:41:52.962197Z",
     "iopub.status.idle": "2024-02-23T18:41:52.964034Z",
     "shell.execute_reply": "2024-02-23T18:41:52.963828Z"
    }
   },
   "outputs": [],
   "source": [
    "v = np.random.standard_normal(4)\n",
    "v=v/np.linalg.norm(v)\n",
    "D4_cigar = (mu**2-1)*lp.outer_self(v) + np.eye(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.965100Z",
     "iopub.status.busy": "2024-02-23T18:41:52.965021Z",
     "iopub.status.idle": "2024-02-23T18:41:52.971746Z",
     "shell.execute_reply": "2024-02-23T18:41:52.971400Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D4_cigar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.973171Z",
     "iopub.status.busy": "2024-02-23T18:41:52.973067Z",
     "iopub.status.idle": "2024-02-23T18:41:52.975206Z",
     "shell.execute_reply": "2024-02-23T18:41:52.974997Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mu :  10\n",
      "max offset norm :  6.708203932499369\n",
      "Offsets : \n",
      " [[ 3  1  2  1  2  1  4  2  3  1  0  0]\n",
      " [-2 -2 -1  0 -2 -1 -4 -2 -3 -1  0  0]\n",
      " [ 2  1  1  0  2  1  3  1  2  1  0  0]\n",
      " [ 1  1  1  0  1  0  2  1  2  1  0  0]]\n"
     ]
    }
   ],
   "source": [
    "print(\"mu : \",mu)\n",
    "print(\"max offset norm : \",np.max(np.linalg.norm(offsets,axis=0)))\n",
    "print(\"Offsets : \\n\", offsets.astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.976387Z",
     "iopub.status.busy": "2024-02-23T18:41:52.976303Z",
     "iopub.status.idle": "2024-02-23T18:41:52.978173Z",
     "shell.execute_reply": "2024-02-23T18:41:52.977982Z"
    }
   },
   "outputs": [],
   "source": [
    "v = np.random.standard_normal(5)\n",
    "v=v/np.linalg.norm(v)\n",
    "D5_cigar = (mu**2-1)*lp.outer_self(v) + np.eye(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.979273Z",
     "iopub.status.busy": "2024-02-23T18:41:52.979182Z",
     "iopub.status.idle": "2024-02-23T18:41:52.985732Z",
     "shell.execute_reply": "2024-02-23T18:41:52.985403Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D5_cigar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.987207Z",
     "iopub.status.busy": "2024-02-23T18:41:52.987099Z",
     "iopub.status.idle": "2024-02-23T18:41:52.989483Z",
     "shell.execute_reply": "2024-02-23T18:41:52.989271Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mu :  10\n",
      "max offset norm :  6.855654600401044\n",
      "Offsets : \n",
      " [[ 1  2  0  2  0  1  1  1  1  0  1  1  1  0  1]\n",
      " [ 0  0  0  1  1  0  0  0  0  1  0  0  1  0  1]\n",
      " [ 3  5  1  5  1  2  2  4  2  0  3  3  2  1  3]\n",
      " [-2 -4 -1 -4 -1 -2 -1 -3 -2  0 -3 -2 -2  0 -2]\n",
      " [ 1  1  0  1  0  1  0  1  0  0  1  0  0  0  0]]\n"
     ]
    }
   ],
   "source": [
    "print(\"mu : \",mu)\n",
    "print(\"max offset norm : \",np.max(np.linalg.norm(offsets,axis=0)))\n",
    "print(\"Offsets : \\n\", offsets.astype(int))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 Stability\n",
    "\n",
    "The implemented tensor decompositions are stable, in the sense that the weight associated with and offset depends continuously on the tensor decomposed.\n",
    "Mathematically, for any $e \\in Z^d / \\{\\pm 1\\}$, the following mapping is locally Lipschitz \n",
    "$$\n",
    "    D \\mapsto \\lambda^e(D),\n",
    "$$\n",
    "where $\\lambda^e(D)$ is the coefficient of $e e^T$ in the decomposition of $D$.\n",
    "\n",
    "This continuity is achieved thanks to an appropriate selection principle, in the cases where the linear program defining Voronoi's first reduction does not have unique maximizer. Note that the coefficient of an offset $e_i$ and of its opposite $-e_i$ are regarded as identical.\n",
    "\n",
    "We check the coefficients continuity by interpolating between two randomly drawn tensors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.990719Z",
     "iopub.status.busy": "2024-02-23T18:41:52.990629Z",
     "iopub.status.idle": "2024-02-23T18:41:52.992602Z",
     "shell.execute_reply": "2024-02-23T18:41:52.992383Z"
    }
   },
   "outputs": [],
   "source": [
    "def Interpolate(a,b,T=np.linspace(0,1,100)):\n",
    "    return T, np.moveaxis(np.array([(1-t)*a + t*b for t in T]),0,-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.993732Z",
     "iopub.status.busy": "2024-02-23T18:41:52.993644Z",
     "iopub.status.idle": "2024-02-23T18:41:52.995647Z",
     "shell.execute_reply": "2024-02-23T18:41:52.995460Z"
    }
   },
   "outputs": [],
   "source": [
    "T_interp, D4_interp = Interpolate(MakeRandomTensor(4),MakeRandomTensor(4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:52.996766Z",
     "iopub.status.busy": "2024-02-23T18:41:52.996679Z",
     "iopub.status.idle": "2024-02-23T18:41:53.003534Z",
     "shell.execute_reply": "2024-02-23T18:41:53.003180Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D4_interp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.004950Z",
     "iopub.status.busy": "2024-02-23T18:41:53.004844Z",
     "iopub.status.idle": "2024-02-23T18:41:53.007299Z",
     "shell.execute_reply": "2024-02-23T18:41:53.007095Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reconstruction error :  5.329070518200751e-15\n"
     ]
    }
   ],
   "source": [
    "print(\"Reconstruction error : \", LInfNorm(D4_interp - Reconstruct(coefs,offsets)))\n",
    "assert np.allclose(D4_interp, Reconstruct(coefs,offsets),atol=1e-5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.008515Z",
     "iopub.status.busy": "2024-02-23T18:41:53.008425Z",
     "iopub.status.idle": "2024-02-23T18:41:53.014436Z",
     "shell.execute_reply": "2024-02-23T18:41:53.014233Z"
    }
   },
   "outputs": [],
   "source": [
    "decomp = GatherByOffset(T_interp,coefs,offsets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.015637Z",
     "iopub.status.busy": "2024-02-23T18:41:53.015546Z",
     "iopub.status.idle": "2024-02-23T18:41:53.234791Z",
     "shell.execute_reply": "2024-02-23T18:41:53.234528Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(20,10))\n",
    "for offset,(time,coef) in decomp.items():\n",
    "    plt.plot(time,coef)\n",
    "plt.legend(decomp.keys(),ncol=3)\n",
    "savefig(fig,\"Coefs_Vor4.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.236629Z",
     "iopub.status.busy": "2024-02-23T18:41:53.236540Z",
     "iopub.status.idle": "2024-02-23T18:41:53.247333Z",
     "shell.execute_reply": "2024-02-23T18:41:53.247049Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reconstruction error :  1.3322676295501878e-14\n"
     ]
    }
   ],
   "source": [
    "T_interp, D5_interp = Interpolate(MakeRandomTensor(5),MakeRandomTensor(5))\n",
    "coefs,offsets = VoronoiDecomposition(D5_interp)\n",
    "print(\"Reconstruction error : \", LInfNorm(D5_interp - Reconstruct(coefs,offsets)))\n",
    "assert np.allclose(D5_interp, Reconstruct(coefs,offsets),atol=1e-5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**CPU vs GPU implementation.** The CPU decomposition is stable w.r.t the inputs, locally Lipschitz more precisely. In contrast, the GPU implementation is discontinuous. Indeed, the code devoted to the selection of the decomposition in cases of non-uniqueness requires double precision floating point arithmetic, and for this reason it was not ported to the GPU.\n",
    "\n",
    "<!---This is due to a bit of code (selection of the decomposition in cases of non-uniqueness) which was not ported to the GPU, and could easily be fixed in the future.--->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.248745Z",
     "iopub.status.busy": "2024-02-23T18:41:53.248642Z",
     "iopub.status.idle": "2024-02-23T18:41:53.554215Z",
     "shell.execute_reply": "2024-02-23T18:41:53.553984Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "decomp = GatherByOffset(T_interp,coefs,offsets)\n",
    "fig = plt.figure(figsize=(20,10))\n",
    "for offset,(time,coef) in decomp.items():\n",
    "    plt.plot(time,coef)\n",
    "plt.legend(decomp.keys(),ncol=7);\n",
    "savefig(fig,\"Coefs_Vor5.pdf\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.556475Z",
     "iopub.status.busy": "2024-02-23T18:41:53.556369Z",
     "iopub.status.idle": "2024-02-23T18:41:53.558485Z",
     "shell.execute_reply": "2024-02-23T18:41:53.558255Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Matrix eigenvalues :  [16.09060444  5.79356695  5.18317148  0.28922182  0.53419682]\n",
      "Coefficients :  [0.63645127 0.29439048 1.75636743 0.19158944 0.20794792 1.34492959\n",
      " 0.90525318 0.7313639  0.19515092 0.15422503 0.35351432 0.66033955\n",
      " 0.41295122 1.18902423 0.11726199]\n",
      "Offsets : \n",
      " [[ 2  2  1  1  2  0  1  0  1  1  0  0  1  1  1]\n",
      " [ 1  1  1  2  2  0  0  1 -1  1  1  1 -1  1  0]\n",
      " [ 1  0  0  0  0  1  1  0  0  0  0  1  1  1  0]\n",
      " [ 0  0  0 -1  0  0  0 -1  1  0  0 -1  1  0  1]\n",
      " [ 0 -1  0  0 -1  1  0  0 -1 -1  0  1  0  0 -1]]\n"
     ]
    }
   ],
   "source": [
    "print(\"Matrix eigenvalues : \",np.linalg.eigvals(D5_interp[...,0]))\n",
    "print(\"Coefficients : \", coefs[...,0])\n",
    "print(\"Offsets : \\n\", offsets[...,0].astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.559759Z",
     "iopub.status.busy": "2024-02-23T18:41:53.559666Z",
     "iopub.status.idle": "2024-02-23T18:41:53.561537Z",
     "shell.execute_reply": "2024-02-23T18:41:53.561337Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Decomposed matrix : \n",
      " [[ 9.47698215e+00  5.56816864e+00  3.78013118e+00  5.33774689e-01\n",
      "  -1.47131475e+00]\n",
      " [ 5.56816864e+00  7.98192782e+00  2.07286383e+00 -2.38298448e+00\n",
      "  -9.02088673e-03]\n",
      " [ 3.78013118e+00  2.07286383e+00  5.14894904e+00 -2.47388327e-01\n",
      "   2.00526914e+00]\n",
      " [ 5.33774689e-01 -2.38298448e+00 -2.47388327e-01  2.30865702e+00\n",
      "  -9.72752458e-01]\n",
      " [-1.47131475e+00 -9.02088673e-03  2.00526914e+00 -9.72752458e-01\n",
      "   2.97424548e+00]]\n"
     ]
    }
   ],
   "source": [
    "print(\"Decomposed matrix : \\n\",D5_interp[...,0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.3 Spanning, of the lattice $Z^d$ by the tensor decomposition offsets. \n",
    "\n",
    "The tensor decompositions presented in this notebook are intended as the foundation to finite difference schemes. \n",
    "The offsets $(e_i)_{i=1}^I$ involved in the decomposition of a tensor $D = D(x)$ appearing in the discretized PDE, thus determine the local connectivity of the discretization grid around $x$.\n",
    "\n",
    "In order to avoid chessboard artifacts, it is desirable that the offsets span the lattice $Z^d$ (using integer coefficients), which is referred to as the *spanning property*. Let us recall that a set of $d$ vectors $e_1,\\cdots,e_d \\in Z^d$ span the lattice $Z^d$ with integer coefficients iff\n",
    "$$\n",
    "    \\det(e_1,\\cdots,e_d)=1.\n",
    "$$\n",
    "\n",
    "*General findings* In dimension $d\\leq 4$, the spanning property is guaranteed for the implemented tensor decomposition. In dimension $d=5$, it is not, but we provide a fix for it. However, it is not clear that this fix is desirable in practical implementations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Four dimensional decompositions span**\n",
    "\n",
    "We can guarantee, by theoretical arguments, that our decompositions of $4\\times 4$ SPD tensors obey the spanning property."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.562811Z",
     "iopub.status.busy": "2024-02-23T18:41:53.562722Z",
     "iopub.status.idle": "2024-02-23T18:41:53.570808Z",
     "shell.execute_reply": "2024-02-23T18:41:53.570426Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.572323Z",
     "iopub.status.busy": "2024-02-23T18:41:53.572229Z",
     "iopub.status.idle": "2024-02-23T18:41:53.574988Z",
     "shell.execute_reply": "2024-02-23T18:41:53.574771Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-1.0"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.linalg.det(offsets[:,0:4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**An intruiguing special case**\n",
    "\n",
    "Interestingly, there are exists tensors $D\\in S_4^{++}$ admitting an optimal decomposition, in the sense of Voronoi's first reduction see above, which is not spanning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.576257Z",
     "iopub.status.busy": "2024-02-23T18:41:53.576169Z",
     "iopub.status.idle": "2024-02-23T18:41:53.578210Z",
     "shell.execute_reply": "2024-02-23T18:41:53.578005Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "A tensors admitting a non-unique optimal decomposition :  [[ 2 -1 -1  1]\n",
      " [-1  2  0 -1]\n",
      " [-1  0  2 -1]\n",
      " [ 1 -1 -1  2]]\n",
      "Coefficients of an optimal decomposition :  [1 1 1 1]\n",
      "Offsets of an optimal decomposition :  [[ 0  0  1  1]\n",
      " [ 0  1 -1  0]\n",
      " [ 1  0  0 -1]\n",
      " [ 0 -1  0  1]]\n"
     ]
    }
   ],
   "source": [
    "print(\"A tensors admitting a non-unique optimal decomposition : \", D4_NonUnique)\n",
    "print(\"Coefficients of an optimal decomposition : \", coefs_NonUnique)\n",
    "print(\"Offsets of an optimal decomposition : \", offsets_NonUnique)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.579403Z",
     "iopub.status.busy": "2024-02-23T18:41:53.579315Z",
     "iopub.status.idle": "2024-02-23T18:41:53.581291Z",
     "shell.execute_reply": "2024-02-23T18:41:53.581087Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-2.0"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.linalg.det(offsets_NonUnique)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, our tensor decomposition method selects a different decomposition, which is spanning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.582436Z",
     "iopub.status.busy": "2024-02-23T18:41:53.582352Z",
     "iopub.status.idle": "2024-02-23T18:41:53.589303Z",
     "shell.execute_reply": "2024-02-23T18:41:53.588976Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D4_NonUnique)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.590784Z",
     "iopub.status.busy": "2024-02-23T18:41:53.590690Z",
     "iopub.status.idle": "2024-02-23T18:41:53.592972Z",
     "shell.execute_reply": "2024-02-23T18:41:53.592768Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coefficients :  [0.33333333 0.33333333 0.33333333 0.33333333 0.33333333 0.33333333\n",
      " 0.33333333 0.33333333 0.33333333 0.33333333 0.33333333 0.33333333]\n",
      "Offsets : \n",
      " [[ 0  0  0  1  0  0  1  0  1  1  1  1]\n",
      " [ 0  0  1  0  1  0  0  1 -1 -1  0 -1]\n",
      " [ 0  1  0  0  0  1 -1 -1  0  0 -1 -1]\n",
      " [ 1  0  0  0 -1 -1  0  0  0  1  1  1]]\n"
     ]
    }
   ],
   "source": [
    "print(\"Coefficients : \", coefs)\n",
    "print(\"Offsets : \\n\", offsets.astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.594169Z",
     "iopub.status.busy": "2024-02-23T18:41:53.594082Z",
     "iopub.status.idle": "2024-02-23T18:41:53.596338Z",
     "shell.execute_reply": "2024-02-23T18:41:53.596099Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.linalg.det(offsets[:,0:4])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Five dimensional decompositions may not span**\n",
    "\n",
    "We present below a tensor $D\\in S_5^{++}$ whose Voronoi's decomposition is unique and non-spanning. Note that the choice of these offsets is very specific, coming from a fine theoretical description of Voronoi's first reduction, the associated *perfect forms*, and their minimal vectors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.597546Z",
     "iopub.status.busy": "2024-02-23T18:41:53.597460Z",
     "iopub.status.idle": "2024-02-23T18:41:53.599404Z",
     "shell.execute_reply": "2024-02-23T18:41:53.599216Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs_NonSpanning = np.array([1,1,1,1,1])\n",
    "offsets_NonSpanning = np.transpose(np.array(\n",
    "    [[0,0,1,0,1],[0,0,1,1,0],[0,1,0,0,0],[1,0,0,0,0],[1,1,0,1,1]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.600565Z",
     "iopub.status.busy": "2024-02-23T18:41:53.600473Z",
     "iopub.status.idle": "2024-02-23T18:41:53.602123Z",
     "shell.execute_reply": "2024-02-23T18:41:53.601905Z"
    }
   },
   "outputs": [],
   "source": [
    "D5_NonSpanning = Reconstruct(coefs_NonSpanning,offsets_NonSpanning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.603281Z",
     "iopub.status.busy": "2024-02-23T18:41:53.603213Z",
     "iopub.status.idle": "2024-02-23T18:41:53.604889Z",
     "shell.execute_reply": "2024-02-23T18:41:53.604675Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-2.0\n"
     ]
    }
   ],
   "source": [
    "print(np.linalg.det(offsets_NonSpanning))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As can illustrated below, the explicit decomposition in terms of coefficients and offsets maximizes the sum of the weights (a property which defines Voronoi's reduction). In addition, and contrary to the previous four dimensional example, this maximizer is non-degenerate and attained for a unique decomposition - the one represented above which is reproduced by our decomposition algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.606103Z",
     "iopub.status.busy": "2024-02-23T18:41:53.606016Z",
     "iopub.status.idle": "2024-02-23T18:41:53.612893Z",
     "shell.execute_reply": "2024-02-23T18:41:53.612589Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D5_NonSpanning)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.614256Z",
     "iopub.status.busy": "2024-02-23T18:41:53.614168Z",
     "iopub.status.idle": "2024-02-23T18:41:53.616566Z",
     "shell.execute_reply": "2024-02-23T18:41:53.616350Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of coefficients :  5.0\n",
      "Coefficients :  [0. 1. 1. 0. 0. 1. 0. 0. 0. 0. 0. 1. 1. 0. 0.]\n",
      "Offsets : \n",
      " [[ 1  1  0  1  1  0  1  0  1  1  0  1  0  1  0]\n",
      " [ 0  0  0  1  0  0  0  1  1  0  0  1  1  1  1]\n",
      " [ 0  0  1  0  0  1  1  0  0  1  1  0  0  1 -1]\n",
      " [ 0  0  1  0  1  0  1  0  1  1  0  1  0  1  0]\n",
      " [ 1  0  0  1  0  1  0  1  0  1  0  1  0  1  0]]\n"
     ]
    }
   ],
   "source": [
    "print(\"Sum of coefficients : \", np.sum(coefs))\n",
    "print(\"Coefficients : \", coefs)\n",
    "print(\"Offsets : \\n\", offsets.astype(int))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.617747Z",
     "iopub.status.busy": "2024-02-23T18:41:53.617661Z",
     "iopub.status.idle": "2024-02-23T18:41:53.619584Z",
     "shell.execute_reply": "2024-02-23T18:41:53.619375Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1 0 0 1 0]\n",
      " [0 0 0 1 1]\n",
      " [0 1 1 0 0]\n",
      " [0 1 0 1 0]\n",
      " [0 0 1 1 0]]\n"
     ]
    }
   ],
   "source": [
    "print(offsets[:,coefs>0].astype(int)) # Same as offsets_NonUnique"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**A fix for the spanning property**\n",
    "\n",
    "Let $D$ be a PSD tensor. Then it is always possible to construct a decomposition of $D$ with the spanning property by adding the decompositions of \n",
    "$$\n",
    "    D = \\lambda I + (D-\\lambda I),\n",
    "$$\n",
    "where $\\lambda>0$ is sufficiently small, so that $D-\\lambda I$ is positive definite. A natural choice is to set $\\lambda := \\frac 1 2 \\lambda_{\\min}(D)$, half the smallest eigenvalue of $D$.\n",
    "\n",
    "Recalling that the decomposition of the identity matrix is\n",
    "$$\n",
    "    I = \\sum_{1 \\leq i \\leq d} e_i e_i^T,\n",
    "$$\n",
    "we obtain a tensor decomposition which is spanning. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.620752Z",
     "iopub.status.busy": "2024-02-23T18:41:53.620667Z",
     "iopub.status.idle": "2024-02-23T18:41:53.622432Z",
     "shell.execute_reply": "2024-02-23T18:41:53.622216Z"
    }
   },
   "outputs": [],
   "source": [
    "alpha = np.min(np.linalg.eigvals(D5_NonSpanning))/2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.623584Z",
     "iopub.status.busy": "2024-02-23T18:41:53.623499Z",
     "iopub.status.idle": "2024-02-23T18:41:53.630692Z",
     "shell.execute_reply": "2024-02-23T18:41:53.630323Z"
    }
   },
   "outputs": [],
   "source": [
    "coefs,offsets = VoronoiDecomposition(D5_NonSpanning - alpha*np.eye(5))\n",
    "coefs = np.concatenate([alpha*np.ones(5),coefs],axis=0)\n",
    "offsets = np.concatenate([np.eye(5),offsets],axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The new decomposition reproduces the norm, and is spanning, as checked below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.632156Z",
     "iopub.status.busy": "2024-02-23T18:41:53.632053Z",
     "iopub.status.idle": "2024-02-23T18:41:53.634072Z",
     "shell.execute_reply": "2024-02-23T18:41:53.633867Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0\n"
     ]
    }
   ],
   "source": [
    "print(LInfNorm(D5_NonSpanning - Reconstruct(coefs,offsets)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.635229Z",
     "iopub.status.busy": "2024-02-23T18:41:53.635146Z",
     "iopub.status.idle": "2024-02-23T18:41:53.637225Z",
     "shell.execute_reply": "2024-02-23T18:41:53.637006Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Coefs :  [0.15933468 0.15933468 0.15933468 0.15933468 0.15933468 0.36266129\n",
      " 0.15933468 0.15933468 0.15933468 0.52199597 0.15933468 0.31866936\n",
      " 0.52199597 0.52199597 0.15933468 0.         0.         0.36266129\n",
      " 0.15933468 0.15933468]\n",
      "Offsets : \n",
      " [[ 1  0  0  0  0  0  1  1  1  1  1  1  0  0  0  1  1  1  0  0]\n",
      " [ 0  1  0  0  0  1  0  0  0  1  1  1  0  0  1  1  2  0  1  1]\n",
      " [ 0  0  1  0  0  0  1  0  0  0  1 -1  1  1  1  0  0  0  0  0]\n",
      " [ 0  0  0  1  0  0  1  1  0  1  1  0  1  0  1  0  1  0  0  1]\n",
      " [ 0  0  0  0  1  0  1  0  1  1  1  0  0  1  1  1  1  0  1  0]]\n"
     ]
    }
   ],
   "source": [
    "print(\"Coefs : \", coefs)\n",
    "print(\"Offsets : \\n\", offsets.astype(int))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, this decomposition is not optimal from the point of view of the sum of weights, and of the offsets norms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.638371Z",
     "iopub.status.busy": "2024-02-23T18:41:53.638291Z",
     "iopub.status.idle": "2024-02-23T18:41:53.640146Z",
     "shell.execute_reply": "2024-02-23T18:41:53.639946Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of coefficients :  4.521995965407466\n",
      "Max offset norm :  2.6457513110645907\n"
     ]
    }
   ],
   "source": [
    "print(\"Sum of coefficients : \", np.sum(coefs))\n",
    "print(\"Max offset norm : \", np.max(np.linalg.norm(offsets,axis=0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T18:41:53.641299Z",
     "iopub.status.busy": "2024-02-23T18:41:53.641209Z",
     "iopub.status.idle": "2024-02-23T18:41:53.643022Z",
     "shell.execute_reply": "2024-02-23T18:41:53.642809Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal sum of coefficients :  5\n",
      "Canonical offset norm :  2.0\n"
     ]
    }
   ],
   "source": [
    "print(\"Optimal sum of coefficients : \", np.sum(coefs_NonSpanning))\n",
    "print(\"Canonical offset norm : \", np.max(np.linalg.norm(offsets_NonSpanning,axis=0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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