Second-Derivative Mesh From a Fourth-Derivative Bound
A centered second-derivative formula has error bounded by M h^2 / 12 with M=24. What h keeps the truncation error at or below 0.005?
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中文题目A centered second-derivative formula has error bounded by M h^2 / 12 with M=24. What h keeps the truncation error at or below 0.005?
打开 →Let $X_1,X_2,\dots$ be i.i.d. with mean $\mu$ and variance $3$. Let $N$ be independent of the increments and distributed as Poisson(4). Show that for the centered stopped sum $M_N=\sum_{i=1}^N (X_i-\mu)$, one has $E[M_N^2]$ equal to what value?
打开 →For f(x) = 0.5 x^T A x - b^T x with A = [[6,-2],[-2,4]] and b = (8,0), what is the optimizer's second coordinate?
打开 →Let $X_1, \ldots, X_5$ be independent $\operatorname{Uniform}(0,1)$ random variables and let $X_{(2)}$ denote the second smallest. Find $E[X_{(2)}]$.
打开 →A latent X ~ N(0,1) is already observed by one sensor with noise variance 3. A second independent sensor with noise variance v will be added. What v makes the total mutual information 0.4 bits?
打开 →A second-order estimate of f''(x) is 5.8 at h=0.4 and 5.2 at h=0.2. Assuming an O(h^2) truncation error, what Richardson-extrapolated estimate do you get?
打开 →Use the second-order forward stencil (-3f(0)+4f(h)-f(2h))/(2h) with h=0.1, f(0)=1, f(0.1)=1.24, and f(0.2)=1.52. What derivative estimate do you get at 0?
打开 →Each trade is tagged by one of 4 sectors and one of 4 liquidity buckets. Show that among 17 trades, two trades must share both tags.
打开 →A flexible model has excess error 0.02 + 24/n, while a simpler model has excess error 0.14 + 6/n. At what sample size do they tie?
打开 →Under P, two processes share the same Brownian driver: dX_t = 1.2dt + 0.6dW_t and dY_t = 0.5dt + 0.25dW_t. If Q is chosen so that X has drift 0.3 under Q, what drift does Y have under Q?
打开 →A system has 4 independent components, each with lifetime $\operatorname{Exp}(2)$. When a component fails, it is removed and the remaining components continue operating. By memorylessness, surviving components' residual lifetimes are still $\operatorname{Exp}(2)$. Find the expect
打开 →The starting guess is already positive and somewhat close, so a single Newton step is informative. Apply one Newton step to solve x + 1 ln x = 2 starting from x_0 = 2.
打开 →Let $N \sim \operatorname{Poisson}(4)$ and, given $N = n$, let $S = X_1 + \cdots + X_n$ where $X_i \stackrel{\text{iid}}{\sim} \operatorname{Uniform}(0,1)$. Use the tower property and the identity $E[S^2 \mid N] = \operatorname{Var}(S \mid N) + (E[S \mid N])^2$ to find $E[S^2]$.
打开 →Let $\Theta$ be drawn uniformly from $\{1, 2, 3\}$ and, given $\Theta = \theta$, let $X \mid \Theta{=}\theta \sim N(0, \theta)$. Using the tower property, compute $E[X^2]$ and $E[X^4]$.
打开 →In the same setup as above, a random point is drawn on the stick after two cuts and $B$ is the length of the piece containing that point. Compute $E[B^2]$.
打开 →The reciprocal equation has an interior positive solution, and the desk wants one explicit Newton move. Apply one Newton step to solve x + 1/x = 3 starting from x_0 = 2.
打开 →Let $X_1, X_2, X_3, X_4$ be independent $\operatorname{Uniform}(0,1)$ random variables. Compute $E[X_{(2)}]$.
打开 →Another bond calibration step is computed with the same Newton machinery. Solve 6/(1+y) + 106/(1+y)^2 = 101 by one Newton step starting from y_0 = 0.04.
打开 →A 2-year annual 4% coupon bond is priced at 100. If D(1)=0.97, what is D(2)?
打开 →Five people draw names uniformly at random from a hat containing all five of their own names, one draw each, forming a random permutation. What is the probability that nobody draws their own name?
打开 →Three items arrive in uniformly random order. Their qualities are NOT all distinct: two of them have quality 2 (tied for best) and one has quality 1. After each item you observe its quality relative to those seen so far, reported as 'higher', 'tied', or 'lower' (so a tie is visib
打开 →Candidates arrive one at a time in uniformly random order, but the TOTAL number N is itself random: N = 2 with probability 1/2 and N = 3 with probability 1/2, and you do not learn N in advance. After each arriving candidate you observe its rank relative to those seen so far and m
打开 →An asset returns 1.2% today while the cross-sectional mean return of its universe is 0.4%. What demeaned return feature does the asset receive?
打开 →A stock returns 1.5% while its sector index returns 0.9%. If the stock's sector beta is 1.2, what sector-residual return feature do you compute?
打开 →A PM says 'there are three securities and three states, so the market is complete.' What is the first structural check you should push back with?
打开 →A candidate says a 4-state market with 4 traded securities must be complete. Why is that claim too quick?
打开 →If today's close is 100, tomorrow's open is 98, and tomorrow's close is 99, what is the next-day open-to-close return that would be used as an intraday label available after tomorrow's session?
打开 →Yesterday's return was 1.8%. The trailing mean of completed daily returns is 0.3% and the trailing standard deviation is 0.5%. What lagged return z-score feature do you record?
打开 →A stock closes at 50 yesterday and opens at 51 today, while the market index closes at 2000 yesterday and opens at 2020 today. If the stock's overnight beta to the market is 1.5, what market-adjusted overnight return feature do you compute?
打开 →Solve $y''-5y'+6y=0$ with $y(0)=1$ and $y'(0)=0$.
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