Question

In: Math

Construct expansions in a two-individual universe of discourse for the following sentence: (x) [Fx --> (Gx...

Construct expansions in a two-individual universe of discourse for the following sentence:

(x) [Fx --> (Gx v Hx)]

Solutions

Expert Solution

For the interpretation:
X = {1, 2, 3, 4, 5}
Ref(m) = 2 Ref(n) = 4
Ext(F x) = {1, 2, 3} Ext(Gx) = {4} Ext(Hx) = {5}
1. (x)(−F x ∨ −Gx): This sentence is true relative to this interpretation,
since the elements 1, 2, 3, and 5 are not in Ext(Gx) and element 4 is
not in Ext(F x) (thus, for all x, x is either not in Ext(F x) or not in
Ext(Gx)).
2. (x)((Gx&Hx) → Hx): This sentence is true relative to this interpre-
tation, since there is no element in the domain that is in both Ext(F x)
and Ext(Gx), making the antecedent of the conditional false. Thus,
the entire conditional is true.
3. −(x)F x → (∃x)(F x&Gx): This sentence is false relative to this inter-
pretation. The sentence −(x)F x is true relative to this interpretation,
since the elements 4 and 5 are not members of Ext(F x), and thus not
every element of the domain is a member of Ext(F x). The consequent
of the conditional is false relative to this interpretation, since there are
no elements that are members of both Ext(F x) and Ext(Gx). Finally,
since the antecedent of the conditional is true and the consequent false,
the conditional is false.
4. −Gm&(∃x)(F x&Gn): This sentence is true relative to this interpreta-
tion. The first conjunct is true relative to this interpretation because
the element Ref(m), 2, is not in Ext(Gx). The second conjunct is also
true, because the element Ref(n), 4, is in Ext(Gx) and the elements 1,
2, and 3 are all in Ext(F x).
5. (∃x)(−F x&−Gx): This sentence is true relative to this interpretation,
since the element 5 is not in Ext(F x) or in Ext(Gx).
6. (∃x)(F x → Gx): This sentence is true relative to this interpretation,
since the elements 4 and 5 are not in Ext(F x), making the antecedent
of the conditional false, and the conditional as a whole true.


Related Solutions

Determine the truth value of the following statements if the universe of discourse of each variable...
Determine the truth value of the following statements if the universe of discourse of each variable is the set of real numbers.   1. ∃x(x2=−1)∃x(x2=−1)   2. ∃x∀y≠0(xy=1)∃x∀y≠0(xy=1)   3. ∀x∃y(x2=y)∀x∃y(x2=y)   4. ∃x∃y(x+y≠y+x)∃x∃y(x+y≠y+x)   5. ∃x∀y(xy=0)∃x∀y(xy=0)   6. ∀x∃y(x=y2)∀x∃y(x=y2)   7. ∀x∀y∃z(z=x+y2)∀x∀y∃z(z=x+y2)   8. ∀x≠0∃y(xy=1)∀x≠0∃y(xy=1)   9. ∃x(x2=2)∃x(x2=2)   10. ∀x∃y(x+y=1)∀x∃y(x+y=1)   11. ∃x∃y((x+2y=2)∧(2x+4y=5))∃x∃y((x+2y=2)∧(2x+4y=5))   12. ∀x∃y((x+y=2)∧(2x−y=1))
Decide, with justification, on the truth of the following propositions, both when the Universe of discourse...
Decide, with justification, on the truth of the following propositions, both when the Universe of discourse is the set of all positive integers, and when the Universe of discourse is the set of all real numbers. 1. ∃x∀y, x < x·y 2. ∀y∃x, x < x·y 3. ∃x∀y, x = x·y 4. ∀y∃x, x = x·y 5. ∀x∃y,∃z, y2 − z2 = 4x 6. ∀x∀y∃z, z < x2 + y2 7. ∀x∃y∃z, x > yz.
Decide, with justification, on the truth of the following propositions, both when the Universe of discourse...
Decide, with justification, on the truth of the following propositions, both when the Universe of discourse is the set of all positive integers, and when the Universe of discourse is the set of all real numbers. 1.18. ∃x∀y,x≤y. 1.19. ∀y∃x,x≤y. 1.20. ∃x∀y,x<y. 1.21. ∀y∃x,x<y. 1.22. ∃x ∀y, y ≤ x. 1.23. ∀y ∃x, y ≤ x. 1.24. ∃x ∀y, y < x. 1.25. ∀y ∃x, y < x. 1.26. ∃x∀y,(x < y ⇒ x2 < y2). 1.27. ∀y∃x,(x<y⇒x2 <y2).
Logic. Identify the form of the following statements: ~ (∃x)((Gx ⊃ Hx) ⋅ (Jx ∨ (Hx...
Logic. Identify the form of the following statements: ~ (∃x)((Gx ⊃ Hx) ⋅ (Jx ∨ (Hx ⋅ Kx))) (x)((Gx ⊃ Hx) ⊃ (Jx ∨ Kx)) (x)(~ Gx ⊃ Hx) ⊃ (x)(Jx)
Answer true or false with a sentence or two explanation. 1. In order to construct a...
Answer true or false with a sentence or two explanation. 1. In order to construct a confidence interval estimate of the population mean, the value of the population mean is needed. 2. A confidence interval is an interval estimate for which there is a specified degree of certainty that the actual value of the population parameter will fall within the interval. 3. The larger the confidence level used in constructing a confidence interval estimate of the population mean, the narrower...
Sky Fly, Inc is considering an investment in two different expansions. The following estimates have been...
Sky Fly, Inc is considering an investment in two different expansions. The following estimates have been calculated for each project. X Y Initial Investment 15,000 15,000 Annual Rate of Return Pessimistic 16% 10% Most Likely 20% 20% Optimistic 24% 30% Discuss What is the range of the rates of return for each of the projects? Which project is less risky? Why? Which investment would you choose? Why? What does your investment choice say about your feelings towards risk? Assume that...
The joint probability density function for two random variables X and Y is given as, fx,y...
The joint probability density function for two random variables X and Y is given as, fx,y (x, y) = (2/3)(1 + 2xy3 ), 0 < x < 1, 0 < y < 1 (a) Find the marginal probability density functions for X and Y . (b) Are X and Y independent? Justify your answer. (c) Show that E[X] = 4/9 and E[Y ] = 7/15 . (d) Calculate Cov(X, Y )
The Probability Integral Transformation Theorem states the following: Let X have continuous cdf FX(x) and define...
The Probability Integral Transformation Theorem states the following: Let X have continuous cdf FX(x) and define the random variable U as U = FX(x). Then U is uniformly distributed on (0,1), i.e., P(U ≤ u) = u, 0 < u < 1. This theorem can be used to generate random variables with an arbitrary continuous distribution function F, if F ^−1 is explicitly known. To illustrate how the method works, you will generate 1,000 random numbers from an Exponential(λ) distribution...
The random variable X, which denotes the interval between two consecutive events, has the PDF: fx...
The random variable X, which denotes the interval between two consecutive events, has the PDF: fx (?) = 4?^( 2)?^( −2?) ? ≥ 0 If we assume that intervals between events are independent, determine the following: (a) The expected value of X. (b) The expected value of the interval between the 11th and 13th events (c) The probability that ? ≤ 6.
For following data: a. Construct an R-chart for this process. b. Construct an X-bar chart for...
For following data: a. Construct an R-chart for this process. b. Construct an X-bar chart for this process. c. Does the process appear to be in control? Why or why not? ​ d. Why must the R chart be read before the x-chart? Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample 8 1 98.2706 98.82376 101.8175 100.1819 102.9594 101.165 95.25957 98.97423 2 100.7166 101.8866 98.56813 98.77126 101.8273 98.20298 101.6975 99.63706 3 98.9922...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT