List of Main Symbols¶
The main symbols used in this book are listed below.
Numbers¶
| \(x\) | Scalar |
| \(\boldsymbol{x}\) | Vector |
| \(\boldsymbol{X}\) | Matrix |
| \(\mathsf{X}\) | Tensor |
Sets¶
| \(\mathcal{X}\) | Set |
| \(\mathbb{R}\) | Real number set |
| \(\mathbb{R}^n\) | Real number vector set of \(n\) dimension |
| \(\mathbb{R}^{x \times y}\) | Real number matrix set with \(x\) rows and \(y\) columns |
Operators¶
| \(\boldsymbol{(\cdot)}^\top\) | Vector or matrix transposition |
| \(\odot\) | Multiply by element |
| \(\lvert\mathcal{X}\rvert\) | Number of elements in the set \(\mathcal{X}\) |
| \(\|\cdot\|_p\) | \(L_p\) norm |
| \(\|\cdot\|\) | \(L_2\) norm |
| \(\sum\) | Continuous addition |
| \(\prod\) | Continuous multiplication |
Functions¶
| \(f(\cdot)\) | Function |
| \(\log(\cdot)\) | Natural logarithmic function |
| \(\exp(\cdot)\) | Exponential function |
Derivatives and Gradients¶
| \(\frac{dy}{dx}\) | Derivative of \(y\) with respect to \(x\) |
|
Partial derivative of \(y\) with respect to \(x\) |
| \(\nabla_{\cdot} y\) | Gradient of \(y\) with respect to \(\cdot\) |
Probability and Statistics¶
| \(\mathbb{P}(\cdot)\) | Probability distribution |
| \(\cdot \sim \mathbb{P}\) | Random variable \(\cdot\) obeys the probability distribution \(\mathbb{P}\) |
| \(\mathbb{P}(\cdot \mid\cdot )\) | Conditional probability |
| \(\mathbb{E}_{\cdot}\left(f( \cdot)\right)\) | Expectation of \(f(\cdot)\) with respect to \(\cdot\) |
Complexity¶
| \(\mathcal{O}\) | Big O notation |