Skip to content
🤔prompts chat🧠
🔍
question:How many cubic centimeters are in a 237-milliliter bottle of cough medicine?

answer:The conversion factor between milliliters and cubic centimeters is 1 mL = 1 cm^3. This means that the number of cubic centimeters in a given volume of milliliters is equal to the volume in milliliters. Therefore, the 237-milliliter bottle of cough medicine contains 237 cubic centimeters. Since 1 milliliter is equal to 1 cubic centimeter, the 237-milliliter bottle of cough medicine contains 237 cubic centimeters.

question:While studying discrete-time Markov chains, I came across an example involving first-passage times. Given a time-homogeneous discrete-time Markov chain { X_n }_{n in mathbb{N}} with state space S, let T_s = inf { n geq 1: X_n = s } denote the first-passage time to state s. The conditional probability of reaching s_1 before s_2 starting from state i is defined as b_i = mathbb{P} ( T_{s_1} < T_{s_2} , mid , X_0 = i ). It is then claimed that b_i = sum_{j in S} b_j mathbb{P} ( X_1 = j , mid , X_0 = i). However, I struggle to understand why mathbb{P} (T_{s_1} < T_{s_2} , mid , X_1 = j, X_0 = i ) = b_j. Applying the Markov property only gives mathbb{P} (T_{s_1} < T_{s_2} , mid , X_1 = j, X_0 = i ) = mathbb{P} (T_{s_1} < T_{s_2} , mid , X_1 = j). Does time-homogeneity play a role here?

answer:The confusion is understandable. The equality mathbb{P} (T_{s_1} < T_{s_2} , mid , X_1 = j, X_0 = i ) = b_j holds under certain conditions. Specifically, it is correct when both states s_1 and s_2 are not accessible from state j in a single step. In this case, reaching s_1 before s_2 after transitioning from i to j is equivalent to reaching s_1 before s_2 starting from j directly, hence the equality. For the general case, the Markov property alone doesn't justify the equality, and time-homogeneity alone isn't sufficient either. The equation b_i = sum_{j in S} b_j mathbb{P} ( X_1 = j , mid , X_0 = i) is valid under the assumption that i is a state from which reaching s_1 directly is impossible, ensuring that the first passage time is affected by the next state. This ensures that the probability of reaching s_1 before s_2 after transitioning to j depends only on the probability of reaching s_1 before s_2 when starting from j.

question:What is the result of dividing -35 by 5?

answer:The result of dividing -35 by 5 is -7.

question:Can you provide an alternative approach to solving the integral int_{-1}^1 frac{1}{(x^4+1)sqrt{1-x^2}} , dx using complex contour integration, that does not involve using the keyhole contour?

answer:Yes, we can use the method of removing the branch points. By symmetry, the integral equals 2 int_{0}^{pi/2}frac{dtheta}{1+sin^4theta}= 2 int_{0}^{pi/2}frac{dtheta}{1+cos^4theta}stackrel{thetamapstoarctan u}{=}2 int_{0}^{+infty}frac{du}{1+u^2+frac{1}{1+u^2}}=int_{-infty}^{+infty}frac{1+u^2}{u^4+2u^2+2},du. The last integral is just 2pi i times the sum of the residues of frac{1+u^2}{u^4+2u^2+2} at the poles in the upper-half plane.

Released under the MIT License.

has loaded