# Questions tagged [pseudorandomness]

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### Constructing lossless conductors using zigzag product - a doubt

Reference - this survey: https://www.cs.huji.ac.il/~nati/PAPERS/expander_survey.pdf I am reading the section on constructing lossless conductors using a bipartite variant of zigzag product (section 10,...
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1 vote
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### Circuit depth of linear algebra operations

I was checking the following paper [1] about low-depth PRFs from lattices. In table 1 on page 4, there is comparison with other constructions, and it shows evaluation depths of certain PRFs. I'm not ...
• 151
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### Are there pseudorandom sequences which cannot be learned by any ML model but which still fail the Diehard tests?

This is likely a very silly question which has a simple answer. As I understand, ML models are able to detect patterns in sequences. Given a sequence which is not truly random but rather only ...
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1 vote
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### AM-protocol when Merlin does not know the input

In classical interactive protocols we assume that Merlin knows Arthur's input $x$. However we can consider a model where it is not a case. I think that this model is more powerful than classical. The ...
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### Can polynomial sized DNF be used to construct weak PRF

Let $F_x : \{0;1\}^n \rightarrow \{0;1\}$ be a family of polyomially sized DNF (with respect to $n$). The key $x$ lives in $\{0;1\}^{\lambda(n)}$, $\lambda(n)$ is polynomially bounded in $n$. Can such ...
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### How many bits are required to sample an almost pairwise independent hash function?

A family of functions $\mathcal{H} = \{ h\colon \{0,1\}^n \to \{0,1\}^m \}$ is said to be $\varepsilon$-almost pairwise independent if, for every distinct $x_1,x_2 \in \{0,1\}^n$ and (not necessarily ...
223 views

### Where is Yao's original proof that distinguishers imply next-bit-predictors?

In the theory of pseudorandomness, there is a well-known lemma that says roughly the following. Let $X$ be a probability distribution over $\{0, 1\}^n$. Suppose there is an efficient algorithm that ...
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1 vote
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### Random variates generation in discrete-event simulation models

In discrete-event simulation, most university textbooks (e.g., Law & Kelton, Banks etc.) state that for generating variates for each random variable (e.g., interarrival time, service time etc.) in ...
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### Optimal random bits complexity for universal hashing

Let $Q_N:=\{0,1\}^N$ denote the $N$-dimensional Hamming cube. Let $a\in Q^N$ and $X\sim\mathrm{Unif}(Q^M)$ be input and random bits respectively, and function $f$ maps the the joint space to the $P$-...
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### How tight is the XOR lemma?

The XOR lemma states that if you have a distribution $D$ on $\{0,1\}^n$, and all the Fourier coefficients of $2^n D$ are small, then it is close in $L_1$ to the uniform distribution. Specifically, ...
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### Deterministic error reduction, state-of-the-art?

Assume one has a randomized (BPP) algorithm $A$ using $r$ bits of randomness. Natural ways to amplify its probability of success to $1-\delta$, for any chosen $\delta>0$, are Independent runs + ...
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### Algebraic construction of $\varepsilon$-biased sets

Let $\ell> 1$ be an integer and consider the mapping $\text{Tr}:\mathbb{F}_{2^\ell}\to\mathbb{F}_{2^\ell}$ defined by $$\text{Tr}(x)=x^{2^0}+x^{2^{1}}+\cdots+x^{2^{\ell-1}}$$ It is then possible to ...
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### Strong seeded randomness extractors with low entropy loss

I would like to implement a strong seeded randomness extractor for flat sources as a part of my project. Most of the literature on seeded extractors is concentrated on minimizing seed length. ...
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1 vote
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### Missing proof in Salil Vadhan's monograph on pseudorandomness, Random Walks and S-T Connectivity

In Salil Vadhan's monograph on pseudorandomness, chapter 2, half of the proof of Lemma 2.51 is missing http://people.seas.harvard.edu/~salil/pseudorandomness/power.pdf . I don't state the full lemma ...
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### Pseudodeterministically choosing elements from efficiently samplable distributions (or, the plausibility of a weak choice principle)

Suppose we have a poly-time samplable family of distribution. I.e., a family of distributions $D_n \subseteq \{0, 1\}^{\mathsf{poly}(n)}$ and an algorithm $S$ for which $D_n = (r \leftarrow^\$ \{0,1\}^...
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### More powerful generator than Nisan-Wigderson one

Nisan-Wigderson generator can be computed in $\log^{O(1)} n$ space and fools all constant-depth circuits of size poly($n$). I mean Theorem 5 here. I want another generator, that can be computed in ...
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### Sampling Functions Efficiently vs Pseudorandom Generators

Let $X$ be a set of $n$-bit Boolean functions of the form $f:\{0,1\}^n\rightarrow \{0,1\}$. For instance, $X$ could be the set of $n$-bit monotone Boolean functions, or the set of $n$-bit functions ...
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### Looking for an exposition of the proof of the LMN theorem

Is there any lecture note or review paper which gives a self-contained proof of the Linial-Mansour-Nisan theorem? The exposition of that in Ryan O'Donnel's book seems to use terminology and notation ...
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### Can true randomness (provably) be replaced with Kolmogorov randomness for RP?

Have there been any attempts to show that Kolmogorov randomness would be sufficient for RP? Would the probability used in the statement "If the correct answer is YES, then it (the probabilistic Turing ...
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### Is it known whether $BPP\cap NP\subseteq RP$?

The reverse inclusion is obvious, as is the fact that any self-reducible NP language in BPP is also in RP. Is this also known to hold for non-self-reducible NP languages?
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1 vote
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### How does one sample uniformly at random from an uncountably infinite set?

I want to know if there are any examples of polynomial time algorithms which can sample uniformly at random from a given uncountably infinite set? (assuming it is possible) Does it help if the sample ...
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### On the definition of pseudoentropy

$\mathbf{Definition.}$ A random variable $X$ has pseudoentropy $k$ if it is computationally indistinguishable from a random variable $Y$ with $H(Y) = k$, where $H(Y)$ is the Shannon entropy of $Y$. ...
218 views

### Simple candidates for pseudorandom permutations?

Even though it is not known whether one-way functions exist, there are several candidate functions used in practice for cryptographic applications that are efficiently computable but are conjectured ...
316 views

### Special properties of bipartite expanders

It is well known that expanders, and often the special case of bipartite expanders, have found many uses in derandomization, coding, etc. However, I am curious if there are any special properties of ...
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### k-wise Independence vs. Min-entropy

A distribution $D$ on $\{0,1\}^n$ is $k$-wise independent if any $k$ of the underlying $n$ random variables are independent and each is uniformly distributed. To me this looks similar in spirit to $D$ ...
246 views

### How are random numbers structure-less?

I'm using random numbers for simulations. The main reason is to have an input sequence where no (simulation) algorithm is going to lock on a pattern and introduce unwanted effects into the simulation. ...
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### Pseudorandom generator for finite automata

Let $d$ be a constant. How can we provably construct a pseudorandom generator that fools $d$-state finite automata? Here, a $d$-state finite automata has $d$ nodes, a start node, a set of nodes ...
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### Pseudorandom generators indistinguishable by uniform deterministic adversaries

I've seen pseudorandom generators defined for nonuniform efficient adversaries, or uniform probabilistic efficient adversaries. (For example, a monograph Pseudorandomness by Vadhan (here's its draft ...
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### $RL=L$ Progress Since 2006

Reingold, Trevisan, and Vadhan's breakthrough 2006 paper (http://dl.acm.org/citation.cfm?id=1132583) reduced the problem of showing $RL=L$ to producing pseudorandom walks on regular digraphs that are ...
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### n irrational number whose digits are pseudo-random: conceptual mismatch?

Are there irrational numbers whose digits are considered pseudo-random? Both concepts seem to be mismatched as a pseudo-random number generator typically is periodic and therefore generates a ...
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### Is deterministic pseudorandomness possibly stronger than randomness in parallel?

Let the class BPNC (the combination of $\mathsf{BPP}$ and $\mathsf{NC}$) be log depth parallel algorithms with bounded error probability and access to a random source (I'm not sure if this has a ...
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### Pseudo-Random Function families whose instances have full domain

The GGM construction gives (PRF) pseudo-random function families whose instance's input's are binary strings of a single length. I've convinced myself that one could get a PRF family whose instances ...