Mathematics For Machine Technology
8th Edition
ISBN: 9781337798310
Author: Peterson, John.
Publisher: Cengage Learning,
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Chapter 35, Problem 16A
To determine
Find the reading of the given metric micrometer setting.
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Question 1. Prove that the function f(x) = 2; f: (2,3] → R, is not uniformly
continuous on (2,3].
Consider the cones
K =
= {(x1, x2, x3) | € R³ :
X3
≥√√√2x² + 3x²
M =
= {(21,22,23)
(x1, x2, x3) Є R³: x3 >
+
2
3
Prove that M = K*.
Hint: Adapt the proof from the lecture notes for finding the dual of the Lorentz cone. Alternatively, prove the
formula (AL)* = (AT)-¹L*, for any cone LC R³ and any 3 × 3 nonsingular matrix A with real entries, where
AL = {Ax = R³ : x € L}, and apply it to the 3-dimensional Lorentz cone with an appropriately chosen matrix
A.
I am unable to solve part b.
Chapter 35 Solutions
Mathematics For Machine Technology
Ch. 35 - Prob. 1ACh. 35 - Prob. 2ACh. 35 - Prob. 3ACh. 35 - Prob. 4ACh. 35 - Prob. 5ACh. 35 - Express 235% as a decimal fraction or mixed...Ch. 35 - Prob. 7ACh. 35 - Prob. 8ACh. 35 - Prob. 9ACh. 35 - Prob. 10A
Ch. 35 - Prob. 11ACh. 35 - Prob. 12ACh. 35 - Prob. 13ACh. 35 - Prob. 14ACh. 35 - Prob. 15ACh. 35 - Prob. 16ACh. 35 - Prob. 17ACh. 35 - Prob. 18ACh. 35 - Read the settings of these metric vernier...Ch. 35 - Read the settings of these metric vernier...Ch. 35 - Prob. 21ACh. 35 - Read the settings of these metric vernier...Ch. 35 - Prob. 23ACh. 35 - Prob. 24ACh. 35 - Prob. 25ACh. 35 - Prob. 26ACh. 35 - Prob. 27ACh. 35 - Read the settings of these metric vernier...Ch. 35 - Prob. 29ACh. 35 - Read the settings of these metric vernier...
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- Let M = M₁U M₂ UM3 and K M₁ = {(x1, x2) ER²: 2 ≤ x ≤ 8, 2≤ x ≤8}, M₂ = {(x1, x2)™ € R² : 4 ≤ x₁ ≤ 6, 0 ≤ x2 ≤ 10}, M3 = {(x1, x2) Є R²: 0 ≤ x₁ ≤ 10, 4≤ x ≤ 6}, ¯ = cone {(1, 2), (1,3)†} ≤ R². (a) Determine the set E(M,K) of efficient points of M with respect to K. (b) Determine the set P(M, K) of properly efficient points of M with respect to K.arrow_forward5.17 An aluminum curtain wall panel 12 feet high is attached to large concrete columns (top and bottom) when the temperature is 65°F. No provision is made for differen- tial thermal movement vertically. Because of insulation between them, the sun heats up the wall panel to 120°F but the column to only 80°F. Determine the consequent compressive stress in the curtain wall. CONCRETE COLUMNS CONNECTIONS Stress= ALUMINUM WALL PANEL 12'-0"arrow_forward6.2 יך 4" 2" 2" Find the centroid of the following cross-sections and planes. X= Y=arrow_forward
- Find the directional derivative of the function at P in direction Varrow_forward6.4 49 Find the centroid of the following cross-sections and planes. X=_ Y= C15 XAO (CENTERED) KW14x90arrow_forward5.18 The steel rails of a continuous, straight railroad track are each 60 feet long and are laid with spaces be- tween their ends of 0.25 inch at 70°F. a. At what temperature will the rails touch end to end? b. What compressive stress will be produced in the rails if the temperature rises to 150°F? T= Stress= L= 60' 25 @T=70°Farrow_forward
- Strength of Materials Problems 5.16 A long concrete bearing wall has vertical expansion joints placed every 40 feet. Determine the required width of the gap in a joint if it is wide open at 20°F and just barely closed at 80°F. Assume α = 6 × 10-6/°F. Width= CONCRETE BEARING WALL EXPANSION JOINT 40' 40' 40' 293arrow_forwardCan you show me a step by step explanation please.arrow_forward9.7 Given the equations 0.5x₁-x2=-9.5 1.02x₁ - 2x2 = -18.8 (a) Solve graphically. (b) Compute the determinant. (c) On the basis of (a) and (b), what would you expect regarding the system's condition? (d) Solve by the elimination of unknowns. (e) Solve again, but with a modified slightly to 0.52. Interpret your results.arrow_forward
- 12.42 The steady-state distribution of temperature on a heated plate can be modeled by the Laplace equation, 0= FT T + 200°C 25°C 25°C T22 0°C T₁ T21 200°C FIGURE P12.42 75°C 75°C 00°C If the plate is represented by a series of nodes (Fig. P12.42), cen- tered finite-divided differences can be substituted for the second derivatives, which results in a system of linear algebraic equations. Use the Gauss-Seidel method to solve for the temperatures of the nodes in Fig. P12.42.arrow_forward9.22 Develop, debug, and test a program in either a high-level language or a macro language of your choice to solve a system of equations with Gauss-Jordan elimination without partial pivoting. Base the program on the pseudocode from Fig. 9.10. Test the program using the same system as in Prob. 9.18. Compute the total number of flops in your algorithm to verify Eq. 9.37. FIGURE 9.10 Pseudocode to implement the Gauss-Jordan algorithm with- out partial pivoting. SUB GaussJordan(aug, m, n, x) DOFOR k = 1, m d = aug(k, k) DOFOR j = 1, n aug(k, j) = aug(k, j)/d END DO DOFOR 1 = 1, m IF 1 % K THEN d = aug(i, k) DOFOR j = k, n aug(1, j) END DO aug(1, j) - d*aug(k, j) END IF END DO END DO DOFOR k = 1, m x(k) = aug(k, n) END DO END GaussJordanarrow_forward11.9 Recall from Prob. 10.8, that the following system of equations is designed to determine concentrations (the e's in g/m³) in a series of coupled reactors as a function of amount of mass input to each reactor (the right-hand sides are in g/day): 15c3cc33300 -3c18c26c3 = 1200 -4c₁₂+12c3 = 2400 Solve this problem with the Gauss-Seidel method to & = 5%.arrow_forward
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