Help understanding the definition of positive semidefinite matrix

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A positive semidefinite matrix is defined through a constant matrix formed by entries derived from a function B evaluated at a set of finite time slices. The notation {t_i}^k_{i=1} represents a sequence of time points that must be finite and ordered, with each t_i being a real number. The term 'time slice' is used to describe specific intervals or points in time, although its precision may vary in different contexts. The matrix formed from B is symmetric, indicating that the expected values of the products of random variables at different times are equal. Understanding these concepts is crucial for grasping the properties of positive semidefinite matrices in mathematical contexts.
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Please confirm or deny the correctness of my understanding about this definition.

For a given set of ##t_i##s, the matrix ##(B(t_i,t_j))^k_{i,j=1}## is a constant ##k\times k## matrix, whose entries are given by ##B(t_i,t_j)## for each ##i## and ##j##.

The the 'finite' in the last line of the definition refers to ##t_1## and ##t_k## is finite, and ##k## is assumed to be a finite integer.

And if we impose the condition ##t_1<t_2<...<t_k## , then for all finite time slices' ##\{t_i\}_{i=1}^k## means ##\{t_1,...,t_k | (t_1<t_2<...<t_k) \text{ and } (t_i
\in \mathbb{R} \text{ for all } i \in \{1,...,k\}) \text{ and } (-\infty < t_1 < t_k < \infty)\}.##

One such ' time slice' is ##1,2,3,...k##. Another is ##-1,-,\frac{1}{2},...,-\frac{1}{k-1},-\frac{1}{k}.##


A few questions I have are, what information does ##\{t_i\}^k_{i=1}## convey? I find interpreting this notation confusing. Is 'time slice' a precise term at all?

Thank you. 🙂
 
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To add, if someone defines the function ##B## as ##B(s,t)=\mathbb{E}[X_sX_t]##, the matrix ##((B(i,j))_{i,j=1}^k)=M## is symmetric, i.e., ##M_{ij}=M_{ji}=\mathbb{E}[X_sX_t]= \mathbb{E}[X_tX_s].##
 

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