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math121b:final [2020/05/04 01:46] pzhou created |
math121b:final [2020/05/06 11:26] (current) pzhou [3. Probability and Statistics (20 pts)] |
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===== Final ===== | ===== Final ===== | ||
+ | ** Due Date **: May 10th (Sunday) 11:59PM. Submit online to gradescope. | ||
+ | ** Policy **: You can use textbook and your notes. There should be no discussion or collaborations, | ||
+ | ----- | ||
==== 1. Vector spaces and Curvilinear Coordinates (30 pts) ==== | ==== 1. Vector spaces and Curvilinear Coordinates (30 pts) ==== | ||
All vectors spaces are finite dimensional over . | All vectors spaces are finite dimensional over . | ||
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- | 2. (10 pt) Let be the vector space of polynomials whose degree is at most . Let be any smooth function on . Show that there is a unique element , such that for any , we have | + | 2. (10 pt) Let be the vector space of polynomials whose degree is at most . Let be any smooth function on . We fix once and for all. Show that there is a unique element (depending on our choice of ), such that for any , we have |
\int_{-1}^1 f_n(x) g(x) dx = | \int_{-1}^1 f_n(x) g(x) dx = | ||
- | Hint: (1) Equip with an inner product $\la g_1, g_2 \ra = \int_{-1}^1 g_1(x) g_2(x) dx$. (2) Show that induces an element in : . (3) use inner product to identify and . | + | |
+ | //Hint: // | ||
+ | * (1) Equip with an inner product $\la g_1, g_2 \ra = \int_{-1}^1 g_1(x) g_2(x) dx$. | ||
+ | * (2) Show that induces an element in : . | ||
+ | * (3) use inner product to identify and . | ||
+ | |||
+ | A remark: if were a polynomial of degree less than , then you could just take . But, we have limited our choices of to be just degree polynomial, so we are looking for a 'best approximation' | ||
3. (10 pt) Let be equipped with curvilinear coordinate where | 3. (10 pt) Let be equipped with curvilinear coordinate where | ||
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Use the moment generating function to find out . Let . What is the mean and variance of ? | Use the moment generating function to find out . Let . What is the mean and variance of ? | ||
- | 3. (5 pt) There are two bags of balls. Bag A contains 4 black balls and 6 white balls, Bag B contains 10 black balls and 10 white balls. Suppose we randomly pick a bag and randomly pick a ball. Given that the ball is white, what is the probability that we picked bag A? | + | 3. (5 pt) There are two bags of balls. Bag A contains 4 black balls and 6 white balls, Bag B contains 10 black balls and 10 white balls. Suppose we randomly pick a bag (with equal probability) |
4. (5 pt) Consider a random walk on the real line: at , one start at . Let denote the position at , then , where with equal probability. | 4. (5 pt) Consider a random walk on the real line: at , one start at . Let denote the position at , then , where with equal probability. | ||
* (3pt) What is the variance of ? | * (3pt) What is the variance of ? | ||
- | * (2pt) Use Markov inequality, prove that | + | * (2pt) Use Markov inequality, prove that for any , we have |