2 Pages

Lecture_12

Course: CH 331, Spring 2008
School: N.C. State
Rating:
 
 
 
 
 

Word Count: 963

Document Preview

Chemistry 331 Lecture 12 Free Energy Functions System and surroundings both play in role in the entropy In an isolated system the criterion d S > 0 indicates that a process is spontaneous. In general, we must consider dSsys for the system and dSsurr for surroundings. Since we can think of the entire universe as an isolated system d Stotal > 0. The entropy tends to increase for the universe as...

Register Now

Unformatted Document Excerpt

Coursehero >> North Carolina >> N.C. State >> CH 331

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Chemistry 331 Lecture 12 Free Energy Functions System and surroundings both play in role in the entropy In an isolated system the criterion d S &gt; 0 indicates that a process is spontaneous. In general, we must consider dSsys for the system and dSsurr for surroundings. Since we can think of the entire universe as an isolated system d Stotal &gt; 0. The entropy tends to increase for the universe as a whole. If we decompose dStotal into the entropy change for the system and that for the surroundings we have a criterion for spontaneity for the system that also requires consideration of the entropy change in the surroundings. The free energy functions will allow us to eliminate consideration of the surroundings and to express a criterion for spontaneity solely in terms of parameters that depend on the system. NC State University Free Energy at Constant T and V Starting with the First Law dU = w + q At constant temperature and volume we have w = 0 and dU = q Recall that dS q /T so we have dU TdS which leads to dU - TdS 0 Since T and V are constant we can write this as d(U - TS) 0 The quantity in parentheses is a measure of the spontaneity of the system that depends on known state functions. Definition of Helmholtz Free Energy We define a new state function: A = U -TS such that dA 0. We call A the Helmholtz free energy. At constant T and V the Helmholtz free energy will decrease until all possible spontaneous processes have occurred. At that point the system will be in equilibrium. The condition for equilibrium is dA = 0. A time Definition of Helmholtz Free Energy Expressing the change in the Helmholtz free energy we have A = U T S for an isothermal change from one state to another. The condition for spontaneous change is that A is less than zero and the condition for equilibrium is that A = 0. We write A = U T S 0 (at constant T and V) If A is greater than zero a process is not spontaneous. It can occur if work is done on the system, however. The Helmholtz free energy has an important physical interpretation. Noting the q rev = T S we have A = U qrev According to the first law U qrev = w rev so A = wrev (reversible, isothermal) A represents the maximum amount of reversible work that can be extracted from the system. Definition of <a href="/keyword/gibbs-free-energy/" ><a href="/keyword/gibbs-free/" >gibbs free</a> energy</a> Most reactions occur at constant pressure rather than constant volume. Using the facts that qrev = TdS and w rev = -PdV we have: dU TdS PdV which can be written dU - TdS + PdV 0. The = sign applies to an equilibrium condition and the &lt; sign means that the process is spontaneous. Therefore: d(U - TS + PV) 0 (at constant T and P) We define a state function G = U + PV TS = H TS. Thus, dG 0 (at constant T and P) The quantity G is called the Gibb's free energy. In a system at constant T and P, the Gibb's energy will decrease as the result of spontaneous processes until the system reaches equilibrium, where dG = 0. 1 Comparing Gibbs and Helmholtz The quantity G is called the Gibb's free energy. In a system at constant T and P, the Gibb's energy will decrease as the result of spontaneous processes until the system reaches equilibrium, where dG = 0. Comparing the Helmholtz and Gibb's free energies we see that A(V,T) and G(P,T) are completely analogous except that A is valid at constant V and G is valid at constant P. We can see that G = A + PV which is exactly analogous to H = U + PV the relationship between enthalpy and internal energy. For chemical processes we see that G = H T S 0 (at constant T and P) A = U T S 0 (at constant T and V) Conditions for Spontaneity We will not use the Helmholtz free energy to describe chemical processes. It is an important concept in the derivation of the Gibbs energy. However, from this point we will consider the implications of the Gibbs energy for physical and chemical processes. There are four possible combinations of the sign of H and S in the <a href="/keyword/gibbs-free-energy/" ><a href="/keyword/gibbs-free/" >gibbs free</a> energy</a> change: H &gt;0 &lt;0 &lt;0 &gt;0 S &gt;0 &lt;0 &gt;0 &gt;0 Description of process Endothermic, spontaneous for T &gt; H/ S Exothermic, spontaneous for T &lt; H/ S Exothermic, spontaneous for all T Never spontaneous Gibbs energy for a phase change For a phase transition the two phases are in equilibrium. Therefore, G = 0 for a phase transition. For example, for water liquid and vapor are in equilibrium at 373.15 K (at 1 atm of pressure). We can write Gibbs energy for a phase change However, if we wer...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

N.C. State - CH - 431
Chemistry 431Lecture 3 The Schrdinger Equation The Particle in a Box (part 1) Orthogonality Postulates of Quantum MechanicsNC State UniversityDerivation of the Schrdinger EquationThe Schrdinger equation is a wave equation.Just as you might ima
N.C. State - MA - 241
Test 3 topics 7.3 Separable Dierential Equations Mixing Problems Example: dy =dy dx=1 yex1 yex dxy dy = ex dx y dy =1 2 2yex dx= ex + c y 2 = 2ex + c (new c) y = 2ex + c7.4 Exponential Growth and Decaydy dt= ky which has solut
Carnegie Mellon - BIO - 03330
Problem Set #1 1999 Genetics 03-330 1. Black coat color in dogs is due to a dominant allele B, brown coat color to the recessive allele b. If the coat is unspotted (entire), the dog carries the recessive u allele, if it bears white spots, the dominan
Carnegie Mellon - BIO - 03442
Carnegie Mellon University INTER-OFFICE CORRESPONDENCE To: From: Date: Subject: Molecular Biology of Eukaryotes Students. Dr. Woolford. Monday, August 20, 2000 Accessing 03-442 course materials via AppleShare.Material relevant to Molecular Biology
Carnegie Mellon - BIO - 03442
Carnegie Mellon University INTER-OFFICE CORRESPONDENCE To: From: Date: Subject: Molecular Biology of Eukaryotes Students. Dr. Woolford. Monday, August 20, 20000. Accessing 03-442 course materials via FTP.Material relevant to Molecular Biology of Eu
Carnegie Mellon - BIO - 03442
MOLECULAR BIOLOGY OF EUKARYOTES , Fall 2000 03-442, 03-742 Lectures 03-742 Advanced Discussion Section MWF 9:30-10:20 a.m., 6423 Wean Hall Time and place to be announcedJohn Woolford 616-618 Mellon Institute 268-3412, 268-3193 jw17@andrew.cmu.edu I
Carnegie Mellon - BIO - 03124
INTER-OFFICE CORRESPONDENCE To: From: Date: Subject: 03-124 Students. Prof. Vartikar. Thursday, January 21, 1999. Accessing 03-124 course materials.Material relevant to 03-124 is being stored on a file server maintained by the Department of Biologi
N.C. State - MA - 747
MA/ST 747, Spring 2009 Homework 3 Due: In-class, Tuesday, March 101. Show that the map X E(X|F) is a contraction in Lp , 1 p &lt; : that is show |E(X|F)|p |X|p .- - 2. Show for (Xn ) a martingale, (Xn ) is submartingale, but for (Xn ) a submarting
N.C. State - MA - 580
MA580 Homework 9 (due 1 April in class)1. (10 points) Let A be a complex n n matrix with minimal polynomial m q(x) = j=0 j xj , where m n and m = 1. Show: If A is non-singular then 0 = 0. 2. (10 points) Let A= 0 1 0 . . . . 1 0 be a n
N.C. State - MA - 747
MA/ST 747, Spring 2009 Homework 1 Due: In-class, Thursday, Jan. 291. In class we saw/will see that for proving P (|X| n) E|X| 1 +n=1 n=1P (|X| n),we got to the point where the above was shown, except with the expressionnP (n ),n=0
N.C. State - MA - 731
Math 731 Project 3 Due Tuesday, March 31 (1) Consider the system x(t) = Ax(t) + Bu(t) y(t) = Cx(t) with the cost function J= 1 1 [Cx(tf ) - r(tf )]T f [Cx(tf ) - r(tf )] + 2 2tf 0[Cx(t) - r(t)]T Q[Cx(t) - r(t)] + u(t)T Ru(t) dtwhere f 0, Q 0
N.C. State - MA - 531
Math 531 Project 6 Due Friday, December 5 (1) Problem 4.9 (2) Problem 4.11 (a)-(d) (3) Problem 4.27. This problem is based on Problem 1.20 which you investigated in Project 1. Note that you can use r = 0 throughout the problem. Also, try some dierent
N.C. State - MA - 531
Math 531 Project 1 Due Tuesday, September 2 (1a) Problem 1.1a. Note that q1 = x1 , q2 = x2 and that the kinetic and potential energies are given by T (q, q) = W (q) = 1 M1 x2 + M2 x2 1 2 21 K1 x2 + K(x1 x2 )2 + K2 x2 . 1 2 2(b) Consider the two
N.C. State - MA - 531
Math 531 Project 5 Due Thursday, November 13 (1) Consider the system x = Ax + Bu y = Cx + Du where 3 6 4 6 10 A= 9 7 7 9 2/3 1/3 B = 1/3 2/3 1/3 1/3C=123 336D = 0.(a) Show that the system is not controllable and use a QR decomp
N.C. State - MA - 531
Math 531 Project 2 Due Thursday, September 18 (1) Problem 2.2 (2) Problem 2.16 (Additionally, nd similarity transforms and check with Matlab) (3) Problem 2.20 (4) Problem 2.21
Carnegie Mellon - BIO - 03310
Carnegie Mellon - BIO - 03310
End of reading for Lecture 9
Carnegie Mellon - BIO - 03310
Carnegie Mellon - BIO - 03310
&lt;?xml version=&quot;1.0&quot; encoding=&quot;UTF-8&quot;?&gt;&lt;Error&gt;&lt;Code&gt;InternalError&lt;/Code&gt;&lt;Message&gt;We encountered an internal error. Please try again.&lt;/Message&gt;&lt;RequestId&gt;2D4AA2616F7826F8&lt;/RequestId&gt;&lt;HostId&gt;sk3aNvlLPWwY3+fUz8918hAn3JLvyJrysuGb1m3yiTQu1AwMtFyGErq9cqAvg
Carnegie Mellon - BIO - 03310
Computational Biology, Part 4 Protein Coding RegionsRobert F. Murphy Copyright 1996-2001. All rights reserved.Sequence Analysis Tasks Calculating the probability of finding asequence pattern Calculating the probability of finding aregion wit
Carnegie Mellon - BIO - 03310
Computational Biology, Part 13 Spreadsheet Basics IIRobert F. Murphy Copyright 1996, 1999, 2000, 2001. All rights reserved.RecalculationsWhen a cell value is changed, what determines whether other cells are recalculated? There are two options:
Carnegie Mellon - BIO - 03310
Computational Biology, Part 14 Recursion RelationsRobert F. Murphy Copyright 1996, 1999, 2000, 2001. All rights reserved.Illustration from Population Dynamics (after Segel)sConsider a species of insect that hatches in the spring, lays eggs in
Carnegie Mellon - BIO - 03310
Computational Biology, Part 16 Biochemical Kinetics IIRobert F. Murphy Copyright 1996, 1999, 2000, 2001. All rights reserved.Numerical integrationsThe simplest numerical integration method is Euler's method. It simply converts each differentia
Carnegie Mellon - BIO - 03310
Computational Biology, Part 21 Biological Imaging IG. Steven Vanni Robert F. Murphy Copyright 1998, 2000, 2001. All rights reserved.Biological imagingssSignificant advances in the fields of optics and electronics in the past two decades have
Carnegie Mellon - BIO - 03310
Computational Biology, Part 22 Biological Imaging IIRobert F. Murphy Copyright 1996, 1999, 2000. All rights reserved.Image DisplaysOperations that change display without changing imagex LUT - grayscale or color x Contrast stretchingsOpera
Carnegie Mellon - BIO - 03310
Computational Biology, Part E Basic Principles of Computer GraphicsRobert F. Murphy Copyright 1996, 1999, 2000, 2001. All rights reserved.2D Coordinate SystemssBasic 2D Graphics Goal: Display an object or a set of objects which are defined in
Carnegie Mellon - BIO - 03310
Computational Biology, Part G Representing Distributions using Fourier TransformsG. Steven Vanni &amp; Robert F. Murphy Copyright 1998, 2000, 2001. All rights reserved.Frequency representationAny signal may be represented as the sum of many sinusoid
Carnegie Mellon - BIO - 03310
k1= km1= k2= km2= timestep= t 0 0.25 0.5 0.75 1 1.25 1.5 1.75 2 2.25 2.5 2.75 3 3.25 3.5 3.75 4 4.25 4.5 4.75 5 5.25 5.5 5.75 6 6.25 6.5 6.75 7 7.25 7.5 7.75 8 8.25 8.5 8.75 9 9.25 9.5 9.75 10 10.25 10.5 10.75 11 11.25 11.5 11.75 12 12.25 12.5 A0.1
Carnegie Mellon - BIO - 03121
Carnegie Mellon - BIO - 03510
Carnegie Mellon - BIO - 03510
CC CC REBASE version 904 bairoch.904CC CC =-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=CC REBASE, The Restriction Enzyme Database http:/rebase.neb.comCC Copyright (c) Dr