The Definition of the Integral Math 120 Calculus I
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ESA Missions AO Analysis
ESA Announcements of Opportunity Outcome Analysis Arvind Parmar Head, Science Support Office ESA Directorate of Science With thanks to Kate Isaak, Erik Kuulkers, Göran Pilbratt and Norbert Schartel (Project Scientists) ESA UNCLASSIFIED - For Official Use The ESA Fleet for Astrophysics ESA UNCLASSIFIED - For Official Use Dual-Anonymous Proposal Reviews | STScI | 25/09/2019 | Slide 2 ESA Announcement of Observing Opportunities Ø Observing time AOs are normally only used for ESA’s observatory missions – the targets/observing strategies for the other missions are generally the responsibility of the Science Teams. Ø ESA does not provide funding to successful proposers. Ø Results for ESA-led missions with recent AOs presented: • XMM-Newton • INTEGRAL • Herschel Ø Gender information was not requested in the AOs. It has been ”manually” derived by the project scientists and SOC staff. ESA UNCLASSIFIED - For Official Use Dual-Anonymous Proposal Reviews | STScI | 25/09/2019 | Slide 3 XMM-Newton – ESA’s Large X-ray Observatory ESA UNCLASSIFIED - For Official Use Dual-Anonymous Proposal Reviews | STScI | 25/09/2019 | Slide 4 XMM-Newton Ø ESA’s second X-ray observatory. Launched in 1999 with annual calls for observing proposals. Operational. Ø Typically 500 proposals per XMM-Newton Call with an over-subscription in observing time of 5-7. Total of 9233 proposals. Ø The TAC typically consists of 70 scientists divided into 13 panels with an overall TAC chair. Ø Output is >6000 refereed papers in total, >300 per year ESA UNCLASSIFIED - For Official Use -
Notes on Calculus II Integral Calculus Miguel A. Lerma
Notes on Calculus II Integral Calculus Miguel A. Lerma November 22, 2002 Contents Introduction 5 Chapter 1. Integrals 6 1.1. Areas and Distances. The Definite Integral 6 1.2. The Evaluation Theorem 11 1.3. The Fundamental Theorem of Calculus 14 1.4. The Substitution Rule 16 1.5. Integration by Parts 21 1.6. Trigonometric Integrals and Trigonometric Substitutions 26 1.7. Partial Fractions 32 1.8. Integration using Tables and CAS 39 1.9. Numerical Integration 41 1.10. Improper Integrals 46 Chapter 2. Applications of Integration 50 2.1. More about Areas 50 2.2. Volumes 52 2.3. Arc Length, Parametric Curves 57 2.4. Average Value of a Function (Mean Value Theorem) 61 2.5. Applications to Physics and Engineering 63 2.6. Probability 69 Chapter 3. Differential Equations 74 3.1. Differential Equations and Separable Equations 74 3.2. Directional Fields and Euler’s Method 78 3.3. Exponential Growth and Decay 80 Chapter 4. Infinite Sequences and Series 83 4.1. Sequences 83 4.2. Series 88 4.3. The Integral and Comparison Tests 92 4.4. Other Convergence Tests 96 4.5. Power Series 98 4.6. Representation of Functions as Power Series 100 4.7. Taylor and MacLaurin Series 103 3 CONTENTS 4 4.8. Applications of Taylor Polynomials 109 Appendix A. Hyperbolic Functions 113 A.1. Hyperbolic Functions 113 Appendix B. Various Formulas 118 B.1. Summation Formulas 118 Appendix C. Table of Integrals 119 Introduction These notes are intended to be a summary of the main ideas in course MATH 214-2: Integral Calculus. -
A Brief Tour of Vector Calculus
A BRIEF TOUR OF VECTOR CALCULUS A. HAVENS Contents 0 Prelude ii 1 Directional Derivatives, the Gradient and the Del Operator 1 1.1 Conceptual Review: Directional Derivatives and the Gradient........... 1 1.2 The Gradient as a Vector Field............................ 5 1.3 The Gradient Flow and Critical Points ....................... 10 1.4 The Del Operator and the Gradient in Other Coordinates*............ 17 1.5 Problems........................................ 21 2 Vector Fields in Low Dimensions 26 2 3 2.1 General Vector Fields in Domains of R and R . 26 2.2 Flows and Integral Curves .............................. 31 2.3 Conservative Vector Fields and Potentials...................... 32 2.4 Vector Fields from Frames*.............................. 37 2.5 Divergence, Curl, Jacobians, and the Laplacian................... 41 2.6 Parametrized Surfaces and Coordinate Vector Fields*............... 48 2.7 Tangent Vectors, Normal Vectors, and Orientations*................ 52 2.8 Problems........................................ 58 3 Line Integrals 66 3.1 Defining Scalar Line Integrals............................. 66 3.2 Line Integrals in Vector Fields ............................ 75 3.3 Work in a Force Field................................. 78 3.4 The Fundamental Theorem of Line Integrals .................... 79 3.5 Motion in Conservative Force Fields Conserves Energy .............. 81 3.6 Path Independence and Corollaries of the Fundamental Theorem......... 82 3.7 Green's Theorem.................................... 84 3.8 Problems........................................ 89 4 Surface Integrals, Flux, and Fundamental Theorems 93 4.1 Surface Integrals of Scalar Fields........................... 93 4.2 Flux........................................... 96 4.3 The Gradient, Divergence, and Curl Operators Via Limits* . 103 4.4 The Stokes-Kelvin Theorem..............................108 4.5 The Divergence Theorem ...............................112 4.6 Problems........................................114 List of Figures 117 i 11/14/19 Multivariate Calculus: Vector Calculus Havens 0. -
Differentiation Rules (Differential Calculus)
Differentiation Rules (Differential Calculus) 1. Notation The derivative of a function f with respect to one independent variable (usually x or t) is a function that will be denoted by D f . Note that f (x) and (D f )(x) are the values of these functions at x. 2. Alternate Notations for (D f )(x) d d f (x) d f 0 (1) For functions f in one variable, x, alternate notations are: Dx f (x), dx f (x), dx , dx (x), f (x), f (x). The “(x)” part might be dropped although technically this changes the meaning: f is the name of a function, dy 0 whereas f (x) is the value of it at x. If y = f (x), then Dxy, dx , y , etc. can be used. If the variable t represents time then Dt f can be written f˙. The differential, “d f ”, and the change in f ,“D f ”, are related to the derivative but have special meanings and are never used to indicate ordinary differentiation. dy 0 Historical note: Newton used y,˙ while Leibniz used dx . About a century later Lagrange introduced y and Arbogast introduced the operator notation D. 3. Domains The domain of D f is always a subset of the domain of f . The conventional domain of f , if f (x) is given by an algebraic expression, is all values of x for which the expression is defined and results in a real number. If f has the conventional domain, then D f usually, but not always, has conventional domain. Exceptions are noted below. -
Two Fundamental Theorems About the Definite Integral
Two Fundamental Theorems about the Definite Integral These lecture notes develop the theorem Stewart calls The Fundamental Theorem of Calculus in section 5.3. The approach I use is slightly different than that used by Stewart, but is based on the same fundamental ideas. 1 The definite integral Recall that the expression b f(x) dx ∫a is called the definite integral of f(x) over the interval [a,b] and stands for the area underneath the curve y = f(x) over the interval [a,b] (with the understanding that areas above the x-axis are considered positive and the areas beneath the axis are considered negative). In today's lecture I am going to prove an important connection between the definite integral and the derivative and use that connection to compute the definite integral. The result that I am eventually going to prove sits at the end of a chain of earlier definitions and intermediate results. 2 Some important facts about continuous functions The first intermediate result we are going to have to prove along the way depends on some definitions and theorems concerning continuous functions. Here are those definitions and theorems. The definition of continuity A function f(x) is continuous at a point x = a if the following hold 1. f(a) exists 2. lim f(x) exists xœa 3. lim f(x) = f(a) xœa 1 A function f(x) is continuous in an interval [a,b] if it is continuous at every point in that interval. The extreme value theorem Let f(x) be a continuous function in an interval [a,b]. -
Herschel Space Observatory and the NASA Herschel Science Center at IPAC
Herschel Space Observatory and The NASA Herschel Science Center at IPAC u George Helou u Implementing “Portals to the Universe” Report April, 2012 Implementing “Portals to the Universe”, April 2012 Herschel/NHSC 1 [OIII] 88 µm Herschel: Cornerstone FIR/Submm Observatory z = 3.04 u Three instruments: imaging at {70, 100, 160}, {250, 350 and 500} µm; spectroscopy: grating [55-210]µm, FTS [194-672]µm, Heterodyne [157-625]µm; bolometers, Ge photoconductors, SIS mixers; 3.5m primary at ambient T u ESA mission with significant NASA contributions, May 2009 – February 2013 [+/-months] cold Implementing “Portals to the Universe”, April 2012 Herschel/NHSC 2 Herschel Mission Parameters u Userbase v International; most investigator teams are international u Program Model v Observatory with Guaranteed Time and competed Open Time v ESA “Corner Stone Mission” (>$1B) with significant NASA contributions v NASA Herschel Science Center (NHSC) supports US community u Proposals/cycle (2 Regular Open Time cycles) v Submissions run 500 to 600 total, with >200 with US-based PI (~x3.5 over- subscription) u Users/cycle v US-based co-Investigators >500/cycle on >100 proposals u Funding Model v NASA funds US data analysis based on ESA time allocation u Default Proprietary Data Period v 6 months now, 1 year at start of mission Implementing “Portals to the Universe”, April 2012 Herschel/NHSC 3 Best Practices: International Collaboration u Approach to projects led elsewhere needs to be designed carefully v NHSC Charter remains firstly to support US community v But ultimately success of THE mission helps everyone v Need to express “dual allegiance” well and early to lead/other centers u NHSC became integral part of the larger team, worked for Herschel success, though focused on US community participation v Working closely with US community reveals needs and gaps for all users v Anything developed by NHSC is available to all users of Herschel v Trust follows from good teaming: E.g. -
MATH 1512: Calculus – Spring 2020 (Dual Credit) Instructor: Ariel
MATH 1512: Calculus – Spring 2020 (Dual Credit) Instructor: Ariel Ramirez, Ph.D. Email: [email protected] Office: LRC 172 Phone: 505-925-8912 OFFICE HOURS: In the Math Center/LRC or by Appointment COURSE DESCRIPTION: Limits. Continuity. Derivative: definition, rules, geometric and rate-of- change interpretations, applications to graphing, linearization and optimization. Integral: definition, fundamental theorem of calculus, substitution, applications to areas, volumes, work, average. Meets New Mexico Lower Division General Education Common Core Curriculum Area II: Mathematics (NMCCN 1614). (4 Credit Hours). Prerequisites: ((123 or ACCUPLACER College-Level Math =100-120) and (150 or ACT Math =28- 31 or SAT Math Section =660-729)) or (153 or ACT Math =>32 or SAT Math Section =>730). COURSE OBJECTIVES: 1. State, motivate and interpret the definitions of continuity, the derivative, and the definite integral of a function, including an illustrative figure, and apply the definition to test for continuity and differentiability. In all cases, limits are computed using correct and clear notation. Student is able to interpret the derivative as an instantaneous rate of change, and the definite integral as an averaging process. 2. Use the derivative to graph functions, approximate functions, and solve optimization problems. In all cases, the work, including all necessary algebra, is shown clearly, concisely, in a well-organized fashion. Graphs are neat and well-annotated, clearly indicating limiting behavior. English sentences summarize the main results and appropriate units are used for all dimensional applications. 3. Graph, differentiate, optimize, approximate and integrate functions containing parameters, and functions defined piecewise. Differentiate and approximate functions defined implicitly. 4. Apply tools from pre-calculus and trigonometry correctly in multi-step problems, such as basic geometric formulas, graphs of basic functions, and algebra to solve equations and inequalities. -
Leonhard Euler: His Life, the Man, and His Works∗
SIAM REVIEW c 2008 Walter Gautschi Vol. 50, No. 1, pp. 3–33 Leonhard Euler: His Life, the Man, and His Works∗ Walter Gautschi† Abstract. On the occasion of the 300th anniversary (on April 15, 2007) of Euler’s birth, an attempt is made to bring Euler’s genius to the attention of a broad segment of the educated public. The three stations of his life—Basel, St. Petersburg, andBerlin—are sketchedandthe principal works identified in more or less chronological order. To convey a flavor of his work andits impact on modernscience, a few of Euler’s memorable contributions are selected anddiscussedinmore detail. Remarks on Euler’s personality, intellect, andcraftsmanship roundout the presentation. Key words. LeonhardEuler, sketch of Euler’s life, works, andpersonality AMS subject classification. 01A50 DOI. 10.1137/070702710 Seh ich die Werke der Meister an, So sehe ich, was sie getan; Betracht ich meine Siebensachen, Seh ich, was ich h¨att sollen machen. –Goethe, Weimar 1814/1815 1. Introduction. It is a virtually impossible task to do justice, in a short span of time and space, to the great genius of Leonhard Euler. All we can do, in this lecture, is to bring across some glimpses of Euler’s incredibly voluminous and diverse work, which today fills 74 massive volumes of the Opera omnia (with two more to come). Nine additional volumes of correspondence are planned and have already appeared in part, and about seven volumes of notebooks and diaries still await editing! We begin in section 2 with a brief outline of Euler’s life, going through the three stations of his life: Basel, St. -
MAT 5930. Analysis for Teachers
MAT 5930. Analysis for Teachers. Wm C Bauldry [email protected] Fall ’13 Wm C Bauldry ([email protected]) MAT 5930. Analysis for Teachers. Fall ’13 1 / 147 Nordkapp, Norway. Today Wm C Bauldry ([email protected]) MAT 5930. Analysis for Teachers. Fall ’13 2 / 147 Introduction and Calculus Considered 1 Course Introduction (Class page, Course Info, Syllabus) 2 Calculus Considered 1 A Standard Freshman Calculus Course B Topics List: MAT 1110; MAT 1120 B Refer to texts by Thomas (traditional), Stewart (very popular, but. ), and Hughes-Hallett, et al, or Ostebee & Zorn (“reform”). B Historical: L’Hopital’sˆ Analyse des Infiniment Petits pour l’Intelligence des Lignes Courbes, Cauchy’s Cours d’Analyse, and Granville, Smith, & Longley’s Elements of the Differential and Integral Calculus 2 An AP Calculus Course(AB,BC) 1 Functions, Graphs, and Limits Representations, one-to-one, onto, inverses, analysis of graphs, limits of functions, asymptotic behavior, continuity, uniform continuity 2 Derivatives Concept, definitions, interpretations, at a point, as a function, second derivative, applications, computation, numerical approx. 3 Integrals Concept, definitions, interpretations, properties, Fundamental Theorem, applications, techniques, applications, numerical approx. Wm C Bauldry ([email protected]) MAT 5930. Analysis for Teachers. Fall ’13 3 / 147 Calculus Considered 2 (Calculus Considered) 3 Calculus Problems x1 Precalculus material: function, induction, summation, slope, trigonometry x2 Limits and Continuity: Squeeze Theorem, discontinuity, removable discontinuity, different interpretations of limit expressions x3 Derivatives: trigonometric derivatives, power rule, indirect methods, Newton’s method, Mean Value Theorem,“Racetrack Principle” x4 Integration: Fundamental Theorem, Riemann sums, parts, multiple integrals x5 Infinite Series: geometric, integrals and series, partial fractions, convergence tests (ratio, root, comparison, integral), Taylor & Maclaurin Wm C Bauldry ([email protected]) MAT 5930. -
Calculus Terminology
AP Calculus BC Calculus Terminology Absolute Convergence Asymptote Continued Sum Absolute Maximum Average Rate of Change Continuous Function Absolute Minimum Average Value of a Function Continuously Differentiable Function Absolutely Convergent Axis of Rotation Converge Acceleration Boundary Value Problem Converge Absolutely Alternating Series Bounded Function Converge Conditionally Alternating Series Remainder Bounded Sequence Convergence Tests Alternating Series Test Bounds of Integration Convergent Sequence Analytic Methods Calculus Convergent Series Annulus Cartesian Form Critical Number Antiderivative of a Function Cavalieri’s Principle Critical Point Approximation by Differentials Center of Mass Formula Critical Value Arc Length of a Curve Centroid Curly d Area below a Curve Chain Rule Curve Area between Curves Comparison Test Curve Sketching Area of an Ellipse Concave Cusp Area of a Parabolic Segment Concave Down Cylindrical Shell Method Area under a Curve Concave Up Decreasing Function Area Using Parametric Equations Conditional Convergence Definite Integral Area Using Polar Coordinates Constant Term Definite Integral Rules Degenerate Divergent Series Function Operations Del Operator e Fundamental Theorem of Calculus Deleted Neighborhood Ellipsoid GLB Derivative End Behavior Global Maximum Derivative of a Power Series Essential Discontinuity Global Minimum Derivative Rules Explicit Differentiation Golden Spiral Difference Quotient Explicit Function Graphic Methods Differentiable Exponential Decay Greatest Lower Bound Differential -
Calculus Formulas and Theorems
Formulas and Theorems for Reference I. Tbigonometric Formulas l. sin2d+c,cis2d:1 sec2d l*cot20:<:sc:20 +.I sin(-d) : -sitt0 t,rs(-//) = t r1sl/ : -tallH 7. sin(A* B) :sitrAcosB*silBcosA 8. : siri A cos B - siu B <:os,;l 9. cos(A+ B) - cos,4cos B - siuA siriB 10. cos(A- B) : cosA cosB + silrA sirrB 11. 2 sirrd t:osd 12. <'os20- coS2(i - siu20 : 2<'os2o - I - 1 - 2sin20 I 13. tan d : <.rft0 (:ost/ I 14. <:ol0 : sirrd tattH 1 15. (:OS I/ 1 16. cscd - ri" 6i /F tl r(. cos[I ^ -el : sitt d \l 18. -01 : COSA 215 216 Formulas and Theorems II. Differentiation Formulas !(r") - trr:"-1 Q,:I' ]tra-fg'+gf' gJ'-,f g' - * (i) ,l' ,I - (tt(.r))9'(.,') ,i;.[tyt.rt) l'' d, \ (sttt rrJ .* ('oqI' .7, tJ, \ . ./ stll lr dr. l('os J { 1a,,,t,:r) - .,' o.t "11'2 1(<,ot.r') - (,.(,2.r' Q:T rl , (sc'c:.r'J: sPl'.r tall 11 ,7, d, - (<:s<t.r,; - (ls(].]'(rot;.r fr("'),t -.'' ,1 - fr(u") o,'ltrc ,l ,, 1 ' tlll ri - (l.t' .f d,^ --: I -iAl'CSllLl'l t!.r' J1 - rz 1(Arcsi' r) : oT Il12 Formulas and Theorems 2I7 III. Integration Formulas 1. ,f "or:artC 2. [\0,-trrlrl *(' .t "r 3. [,' ,t.,: r^x| (' ,I 4. In' a,,: lL , ,' .l 111Q 5. In., a.r: .rhr.r' .r r (' ,l f 6. sirr.r d.r' - ( os.r'-t C ./ 7. /.,,.r' dr : sitr.i'| (' .t 8. tl:r:hr sec,rl+ C or ln Jccrsrl+ C ,f'r^rr f 9. -
Differentiating an Integral
Differentiating an Integral P. Haile, February 2020 b(t) Leibniz Rule. If (t) = a(t) f(z, t)dz, then R d b(t) @f(z, t) db da = dz + f (b(t), t) f (a(t), t) . dt @t dt dt Za(t) That’s the rule; now let’s see why this is so. We start by reviewing some things you already know. Let f be a smooth univariate function (i.e., a “nice” function of one variable). We know from the fundamental theorem of calculus that if the function is defined as x (x) = f(z) dz Zc (where c is a constant) then d (x) = f(x). (1) dx You can gain some really useful intuition for this by remembering that the x integral c f(z) dz is the area under the curve y = f(z), between z = a and z = x. Draw this picture to see that as x increases infinitessimally, the added contributionR to the area is f (x). Likewise, if c (x) = f(z) dz Zx then d (x) = f(x). (2) dx Here, an infinitessimal increase in x reduces the area under the curve by an amount equal to the height of the curve. Now suppose f is a function of two variables and define b (t) = f(z, t)dz (3) Za where a and b are constants. Then d (t) b @f(z, t) = dz (4) dt @t Za i.e., we can swap the order of the operations of integration and differentiation and “differentiate under the integral.” You’ve probably done this “swapping” 1 before.