Math Notations
Notations
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We use upper-case sans serif letters, e.g., $\mathsf{Z}$ to denote
random variableswithsample spacesdenoted as $\mathcal{Z}$. -
$p_{\mathsf{Z}}$ denote the distribution of $\mathsf{Z}$, which is a
propability density functionif $\mathsf{Z}$ is continuous. $P_{\mathsf{Z}}$ denotes theprobability measure. -
$\mathcal{P}(\mathcal{Z})$ denotes the set of all
probability measuresover theBorel σ-algebraon $\mathcal{Z}$. -
$E[\mathsf{Z}]$ denotes the
expectationof $\mathsf{Z}$.
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Let $(\mathsf{Z}_1,\mathsf{Z}_2,\cdots,\mathsf{Z}_n)$ be $n$ i.i.d. copies of $\mathsf{Z}$.
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We use $\mathsf{Z}^n$ to denote the sequence $\{\mathsf{Z}_1,\mathsf{Z}_2,\cdots,\mathsf{Z}_n\}$.
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$|\cdot|$ denotes the
Euclidean normof a vector.
Notation for differentiation
wikipedia: https://en.wikipedia.org/wiki/Notation_for_differentiation
- When taking the derivative of a dependent variable $y = f(x)$:
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The value of the derivative of $y$ at a point $x = a$ may be expressed in two ways using Leibniz’s notation: \(\frac{d y}{d x}\bigg|_{x=a} \text{ or } \frac{d y}{d x}(a)\)
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Some people also prefer useing roman type $\mathrm{d} x$ instead of italic $dx$.
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Partial derivatives: \(\frac{\partial f}{\partial x}=f_x=\partial_x f; \frac{\partial}{\partial y}(\frac{\partial f}{\partial x})=\frac{\partial^2 f}{\partial y \partial x}\)
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The gradient operator can be written as \(\nabla =\bigg(\frac{\partial}{\partial y_1},\cdots,\frac{\partial}{\partial y_L}\bigg)^T\)
Big O in Probability notation
wikipedia: https://en.wikipedia.org/wiki/Big_O_in_probability_notation
$\mathsf{X}_n=o_p(a_n)$ can be written as $\frac{\mathsf{X}_n}{a_n}=o_p(1)$.
| $\mathsf{X}_n=o_p(1)$ is defined as $\lim_{n\rightarrow \infty}P( | \mathsf{X}_n | \geq\epsilon)=0$ |
By $O(1)$, we denote positive absolute constants. The notation $\lfloor a\rfloor$ stands for the largest integer less than or equal to $a \in \mathbb{R}$ and $\lceil a\rceil$ for the smallest integer greater than or equal to $a \in \mathbb{R}$.