1. The document discusses vector calculus concepts including the dot product, cross product, gradient, divergence, and curl of vectors. It provides examples and explanations of how to calculate these quantities.
2. The dot product yields a scalar quantity and is used to calculate the angle between two vectors. The cross product yields a vector that is perpendicular to the plane of the two input vectors.
3. The gradient is the vector of partial derivatives of a scalar function and points in the direction of maximum increase. The divergence and curl are used to describe vector fields and involve taking partial derivatives.
formulation of first order linear and nonlinear 2nd order differential equationMahaswari Jogia
• Equations which are composed of an unknown function and its derivatives are called differential equations.
• Differential equations play a fundamental role in engineering because many physical phenomena are best formulated mathematically in terms of their rate of change.
• When a function involves one dependent variable, the equation is called an ordinary differential equation (ODE).
• A partial differential equation (PDE) involves two or more independent variables.
Figure 1: CHARACTERIZATION OF DIFFERENTIAL EQUATION
FIRST ORDER DIFFERENTIAL EQUATION:
FIRST ORDER LINEAR AND NON LINEAR EQUATION:
A first order equation includes a first derivative as its highest derivative.
- Linear 1st order ODE:
Where P and Q are functions of x.
TYPES OF LINEAR DIFFERENTIAL EQUATION:
1. Separable Variable
2. Homogeneous Equation
3. Exact Equation
4. Linear Equation
i. SEPARABLE VARIABLE:
The first-order differential equation:
Is called separable provided that f(x,y) can be written as the product of a function of x and a function of y.
Suppose we can write the above equation as
We then say we have “separated” the variables. By taking h(y) to the LHS, the equation becomes:
Integrating, we get the solution as:
Where c is an arbitrary constant.
EXAMPLE 1.
Consider the DE :
Separating the variables, we get
Integrating we get the solution as:
Stress and Strains, large deformations, Nonlinear Elastic analysis,critical load analysis, hyper elastic materials, FE formulations for Non-linear Elasticity, Nonlinear Elastic Analysis Using Commercial Finite Element Programs, Fitting Hyper elastic Material Parameters from Test Data
Concepts and Applications of the Fundamental Theorem of Line Integrals.pdfJacobBraginsky
A three-part examination of the Fundamental Theorem of Line Integrals. Learn how to use this theorem in multivariable calculus. Simplify the process of solving line integrals using the FTLI.
formulation of first order linear and nonlinear 2nd order differential equationMahaswari Jogia
• Equations which are composed of an unknown function and its derivatives are called differential equations.
• Differential equations play a fundamental role in engineering because many physical phenomena are best formulated mathematically in terms of their rate of change.
• When a function involves one dependent variable, the equation is called an ordinary differential equation (ODE).
• A partial differential equation (PDE) involves two or more independent variables.
Figure 1: CHARACTERIZATION OF DIFFERENTIAL EQUATION
FIRST ORDER DIFFERENTIAL EQUATION:
FIRST ORDER LINEAR AND NON LINEAR EQUATION:
A first order equation includes a first derivative as its highest derivative.
- Linear 1st order ODE:
Where P and Q are functions of x.
TYPES OF LINEAR DIFFERENTIAL EQUATION:
1. Separable Variable
2. Homogeneous Equation
3. Exact Equation
4. Linear Equation
i. SEPARABLE VARIABLE:
The first-order differential equation:
Is called separable provided that f(x,y) can be written as the product of a function of x and a function of y.
Suppose we can write the above equation as
We then say we have “separated” the variables. By taking h(y) to the LHS, the equation becomes:
Integrating, we get the solution as:
Where c is an arbitrary constant.
EXAMPLE 1.
Consider the DE :
Separating the variables, we get
Integrating we get the solution as:
Stress and Strains, large deformations, Nonlinear Elastic analysis,critical load analysis, hyper elastic materials, FE formulations for Non-linear Elasticity, Nonlinear Elastic Analysis Using Commercial Finite Element Programs, Fitting Hyper elastic Material Parameters from Test Data
Concepts and Applications of the Fundamental Theorem of Line Integrals.pdfJacobBraginsky
A three-part examination of the Fundamental Theorem of Line Integrals. Learn how to use this theorem in multivariable calculus. Simplify the process of solving line integrals using the FTLI.
Comparative analysis of x^3+y^3=z^3 and x^2+y^2=z^2 in the Interconnected Sets Vladimir Godovalov
This paper introduces an innovative technique of study z^3-x^3=y^3 on the subject of its insolvability in integers. Technique starts from building the interconnected, third degree sets: A3={a_n│a_n=n^3,n∈N}, B3={b_n│b_n=a_(n+1)-a_n }, C3={c_n│c_n=b_(n+1)-b_n } and P3={6} wherefrom we get a_n and b_n expressed as figurate polynomials of third degree, a new finding in mathematics. This approach and the results allow us to investigate equation z^3-x^3=y in these interconnected sets A3 and B3, where z^3∧x^3∈A3, y∈B3. Further, in conjunction with the new Method of Ratio Comparison of Summands and Pascal’s rule, we finally prove inability of y=y^3. After we test the technique, applying the same approach to z^2-x^2=y where we get family of primitive z^2-x^2=y^2 as well as introduce conception of the basic primitiveness of z^'2-x^'2=y^2 for z^'-x^'=1 and the dependant primitiveness of z^'2-x^'2=y^2 for co-prime x,y,z and z^'-x^'>1.
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...mathsjournal
In the earlier work, Knuth present an algorithm to decrease the coefficient growth in the Euclidean algorithm of polynomials called subresultant algorithm. However, the output polynomials may have a small factor which can be removed. Then later, Brown of Bell Telephone Laboratories showed the subresultant in another way by adding a variant called 𝜏 and gave a way to compute the variant. Nevertheless, the way failed to determine every 𝜏 correctly.
In this paper, we will give a probabilistic algorithm to determine the variant 𝜏 correctly in most cases by adding a few steps instead of computing 𝑡(𝑥) when given 𝑓(𝑥) and𝑔(𝑥) ∈ ℤ[𝑥], where 𝑡(𝑥) satisfies that 𝑠(𝑥)𝑓(𝑥) + 𝑡(𝑥)𝑔(𝑥) = 𝑟(𝑥), here 𝑡(𝑥), 𝑠(𝑥) ∈ ℤ[𝑥]
The finite difference method can be considered as a direct discretization of differential equations but in finite element methods, we generate difference equations by using approximate methods with piecewise polynomial solution. In this paper, we use the Galerkin method to obtain the approximate solution of a boundary value problem. The convergence analysis of these solution are also considered.
Helmholtz equation (Motivations and Solutions)Hassaan Saleem
Solutions of Helmholtz equation in cartesian, cylindrical and spherical coordinates are discussed and the applications to the problem of a quantum mechanical particle in a cubical box is discussed.
Nutraceutical market, scope and growth: Herbal drug technologyLokesh Patil
As consumer awareness of health and wellness rises, the nutraceutical market—which includes goods like functional meals, drinks, and dietary supplements that provide health advantages beyond basic nutrition—is growing significantly. As healthcare expenses rise, the population ages, and people want natural and preventative health solutions more and more, this industry is increasing quickly. Further driving market expansion are product formulation innovations and the use of cutting-edge technology for customized nutrition. With its worldwide reach, the nutraceutical industry is expected to keep growing and provide significant chances for research and investment in a number of categories, including vitamins, minerals, probiotics, and herbal supplements.
Slide 1: Title Slide
Extrachromosomal Inheritance
Slide 2: Introduction to Extrachromosomal Inheritance
Definition: Extrachromosomal inheritance refers to the transmission of genetic material that is not found within the nucleus.
Key Components: Involves genes located in mitochondria, chloroplasts, and plasmids.
Slide 3: Mitochondrial Inheritance
Mitochondria: Organelles responsible for energy production.
Mitochondrial DNA (mtDNA): Circular DNA molecule found in mitochondria.
Inheritance Pattern: Maternally inherited, meaning it is passed from mothers to all their offspring.
Diseases: Examples include Leber’s hereditary optic neuropathy (LHON) and mitochondrial myopathy.
Slide 4: Chloroplast Inheritance
Chloroplasts: Organelles responsible for photosynthesis in plants.
Chloroplast DNA (cpDNA): Circular DNA molecule found in chloroplasts.
Inheritance Pattern: Often maternally inherited in most plants, but can vary in some species.
Examples: Variegation in plants, where leaf color patterns are determined by chloroplast DNA.
Slide 5: Plasmid Inheritance
Plasmids: Small, circular DNA molecules found in bacteria and some eukaryotes.
Features: Can carry antibiotic resistance genes and can be transferred between cells through processes like conjugation.
Significance: Important in biotechnology for gene cloning and genetic engineering.
Slide 6: Mechanisms of Extrachromosomal Inheritance
Non-Mendelian Patterns: Do not follow Mendel’s laws of inheritance.
Cytoplasmic Segregation: During cell division, organelles like mitochondria and chloroplasts are randomly distributed to daughter cells.
Heteroplasmy: Presence of more than one type of organellar genome within a cell, leading to variation in expression.
Slide 7: Examples of Extrachromosomal Inheritance
Four O’clock Plant (Mirabilis jalapa): Shows variegated leaves due to different cpDNA in leaf cells.
Petite Mutants in Yeast: Result from mutations in mitochondrial DNA affecting respiration.
Slide 8: Importance of Extrachromosomal Inheritance
Evolution: Provides insight into the evolution of eukaryotic cells.
Medicine: Understanding mitochondrial inheritance helps in diagnosing and treating mitochondrial diseases.
Agriculture: Chloroplast inheritance can be used in plant breeding and genetic modification.
Slide 9: Recent Research and Advances
Gene Editing: Techniques like CRISPR-Cas9 are being used to edit mitochondrial and chloroplast DNA.
Therapies: Development of mitochondrial replacement therapy (MRT) for preventing mitochondrial diseases.
Slide 10: Conclusion
Summary: Extrachromosomal inheritance involves the transmission of genetic material outside the nucleus and plays a crucial role in genetics, medicine, and biotechnology.
Future Directions: Continued research and technological advancements hold promise for new treatments and applications.
Slide 11: Questions and Discussion
Invite Audience: Open the floor for any questions or further discussion on the topic.
Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
Ultraviolet-visible spectroscopy refers to absorption spectroscopy or reflect spectroscopy in the UV-VIS spectral region.
Ultraviolet-visible spectroscopy is an analytical method that can measure the amount of light received by the analyte.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
A brief information about the SCOP protein database used in bioinformatics.
The Structural Classification of Proteins (SCOP) database is a comprehensive and authoritative resource for the structural and evolutionary relationships of proteins. It provides a detailed and curated classification of protein structures, grouping them into families, superfamilies, and folds based on their structural and sequence similarities.
Mammalian Pineal Body Structure and Also Functions
Lesson 3: Problem Set 4
1. Calculus III
Summer 2020
Lesson 3
Problem Set 4
“Mathematics is the art of giving
the same name to different things.”
- Henri Poincaré -
2. Lehman College, Department of Mathematics
The Dot Product of Two Vectors (1 of 4)
Let 𝐫 be the vector given by:
The vector 𝐫 may also be the written in the form:
By the Pythagorean theorem, we know that:
Similar to the plane above, in space we have:
The Pythagorean theorem yields:
We will use the form above to construct the dot product
of two vectors 𝐮 and 𝐯.
𝐫 𝑥, 𝑦 = 𝑥 𝐢 + 𝑦 𝐣
𝑟2 = 𝑥2 + 𝑦2 + 𝑧2
𝐫 𝑥, 𝑦 = 𝑥, 𝑦
𝐫 𝑥, 𝑦, 𝑧 = 𝑥, 𝑦, 𝑧
𝑟2 = 𝑥2 + 𝑦2
3. Lehman College, Department of Mathematics
The Dot Product of Two Vectors (2 of 4)
Let 𝐮 and 𝐯 be two vectors in space given by:
The dot product of 𝐮 and 𝐯 is defined as the quantity:
The dot product or two vectors yields a scalar quantity.
Similar to the radius vector earlier, we define the
magnitude 𝐯 of a vector 𝐯 through the scalar quantity:
Example 1. Find the dot product of the vectors 𝐮 and 𝐯:
𝐮 = 𝑢1, 𝑢2, 𝑢3 𝐯 = 𝑣1, 𝑣2, 𝑣3and
𝐮 ⋅ 𝐯 = 𝑢1 𝑣1 + 𝑢2 𝑣2 + 𝑢3 𝑣3
𝐯 2
= 𝑣1
2
+ 𝑣2
2
+ 𝑣3
2
= 𝐯 ⋅ 𝐯
𝐮 = 1, 0, 3 𝐯 = −2, 1, 2and
4. Lehman College, Department of Mathematics
The Dot Product of Two Vectors (3 of 4)
Solution. The dot product of the vectors 𝐮 and 𝐯 for:
is given by:
Consider the following vector diagram:
𝐮 = 1, 0, 3 𝐯 = −2, 1, 2and
𝐮 ⋅ 𝐯 = 1 −2 + 0 1 + 3 2 = −2 + 0 + 6 = 4
Here 𝜃 is the angle between
the vectors 𝐮 and 𝐯.
By the Cosine Rule:
𝐯 − 𝐮 2
= 𝐮 2
+ 𝐯 2
− 2 𝐮 𝐯 cos 𝜃
5. Lehman College, Department of Mathematics
The Dot Product of Two Vectors (4 of 4)
However, we can also write 𝐯 − 𝐮 2
as a dot product:
Comparing this to the result obtained earlier:
We conclude that:
Two vectors 𝐮 and 𝐯 are orthogonal if and only if:
𝐯 − 𝐮 2 = 𝐯 − 𝐮 ⋅ 𝐯 − 𝐮
= 𝐯 ⋅ 𝐯 − 𝐯 ⋅ 𝐮 − 𝐮 ⋅ 𝐯 + 𝐮 ⋅ 𝐮
= 𝐯 2 − 2𝐮 ⋅ 𝐯 + 𝐮 2
𝐯 − 𝐮 2
= 𝐮 2
+ 𝐯 2
− 2 𝐮 𝐯 cos 𝜃
𝐮 ⋅ 𝐯 = 𝐮 𝐯 cos 𝜃
𝐮 ⋅ 𝐯 = 0
6. Lehman College, Department of Mathematics
The Cross Product of Two Vectors (1 of 5)
Let 𝐮 and 𝐯 be two vectors in space given by:
This is equivalent to:
The cross product of 𝐮 and 𝐯 is defined as the quantity:
Above, we use the determinant of a 3 × 3 matrix.
The cross product or two vectors yields a vector.
𝐮 = 𝑢1, 𝑢2, 𝑢3 𝐯 = 𝑣1, 𝑣2, 𝑣3and
𝐮 × 𝐯 =
𝐢 𝐣 𝐤
𝑢1 𝑢2 𝑢3
𝑣1 𝑣2 𝑣3
𝐮 = 𝑢1 𝐢 + 𝑢2 𝐣 + 𝑢3 𝐤 and 𝐯 = 𝑣1 𝐢 + 𝑣2 𝐣 + 𝑣3 𝐤
7. Lehman College, Department of Mathematics
The Cross Product of Two Vectors (2 of 5)
We can show that the magnitude of the cross product:
where 𝜃 is the angle between the vectors 𝐮 and 𝐯.
Two vectors 𝐮 and 𝐯 are parallel if and only if:
Example 2. Given the two vectors 𝐮 = 𝐢 − 2 𝐣 + 𝐤 and
𝐯 = 3𝐢 + 𝐣 − 2𝐤, find the following:
𝐮 = 𝑢1, 𝑢2, 𝑢3 𝐯 = 𝑣1, 𝑣2, 𝑣3and
𝐮 × 𝐯 = 𝐮 𝐯 sin 𝜃
𝐮 × 𝐯 = 0
𝐮 × 𝐯 𝐯 × 𝐮(a) (b)
8. Lehman College, Department of Mathematics
The Cross Product of Two Vectors (3 of 5)
We know that the magnitude of the cross product is:
𝐮 × 𝐯 = 𝐮 𝐯 sin 𝜃
The vector 𝐮 × 𝐯 is
perpendicular to the plane
determined by the vectors 𝐮
and 𝐯.
How about the direction of the
vector 𝐮 × 𝐯?
where 𝜃 is the angle between the vectors
𝐮 and 𝐯.
We use the right-hand rule.
9. Lehman College, Department of Mathematics
The Cross Product of Two Vectors (4 of 5)
Example 2. Given the two vectors 𝐮 = 𝐢 − 2 𝐣 + 𝐤 and
𝐯 = 3𝐢 + 𝐣 − 2𝐤, find the following:
Solution. By the definition of the cross product:
𝐮 × 𝐯 𝐯 × 𝐮(a) (b)
𝐮 × 𝐯 =
𝐢 𝐣 𝐤
1 −2 1
3 1 −2
1 1
3 −2
𝐣 +=
−2 1
1 −2
𝐢 −
1 −2
3 1
𝐤
= 3𝐢 − (−5) 𝐣 + 7 𝐤
= 3𝐢 + 5 𝐣 + 7 𝐤
10. Lehman College, Department of Mathematics
The Cross Product of Two Vectors (5 of 5)
Solution (cont’d). From the previous slide:
This is an important property of the cross product. For
any two vectors 𝐮 and 𝐯:
𝐯 × 𝐮 =
𝐢 𝐣 𝐤
3 1 −2
1 −2 1
3 −2
1 1
𝐣 +=
1 −2
−2 1
𝐢 −
3 1
1 −2
𝐤
= −3𝐢 − 5 𝐣 + (−7) 𝐤
= −3𝐢 − 5 𝐣 − 7 𝐤
= −(𝐮 × 𝐯)
𝐯 × 𝐮 = −(𝐮 × 𝐯)
11. Lehman College, Department of Mathematics
Divergence, Gradient and Curl (1 of 5)
Let 𝑓 be a scalar function of 𝑥, 𝑦, 𝑧 with continuous
partial derivatives:
Then the gradient of 𝑓 is the vector-valued function:
Example 3. Given 𝑓 𝑥, 𝑦, 𝑧 = 𝑥3
+ 2𝑥𝑦2
+ 3𝑦𝑧2
, find ∇𝑓.
Solution. Determine the partial derivatives:
𝑓𝑥(𝑥, 𝑦, 𝑧) and𝑓𝑦(𝑥, 𝑦, 𝑧) 𝑓𝑧(𝑥, 𝑦, 𝑧)
∇𝑓 = 𝑓𝑥 𝑥, 𝑦, 𝑧 𝐢 + 𝑓𝑦 𝑥, 𝑦, 𝑧 𝐣 + 𝑓𝑧 𝑥, 𝑦, 𝑧 𝐤
𝑓𝑥 𝑥, 𝑦, 𝑧 = 3𝑥2
+ 2𝑦2 𝑓𝑦 𝑥, 𝑦, 𝑧 = 4𝑥𝑦 + 3𝑧2
𝑓𝑧 𝑥, 𝑦, 𝑧 = 6𝑦𝑧
∇𝑓 = 3𝑥2 + 2𝑦2 𝐢 + 4𝑥𝑦 + 3𝑧2 𝐣 + 6𝑦𝑧 𝐤
12. Lehman College, Department of Mathematics
Divergence, Gradient and Curl (2 of 5)
Let 𝐅(𝑥, 𝑦, 𝑧) be a vector field given by:
for functions 𝑀, 𝑁 and 𝑃 of 𝑥, 𝑦, 𝑧 with continuous
partial derivatives in an open sphere.
Then the divergence of 𝐅 is the scalar function:
Example 3. Given 𝐅 𝑥, 𝑦, 𝑧 = 𝑥3
𝑦2
𝑧 𝐢 + 𝑥2
𝑧 𝐣 + 𝑥2
𝑦 𝐤,
find the divergence of 𝐅 at the point 2, 1, −1 .
Solution. First determine the functions 𝑀, 𝑁 and 𝑃.
𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤
div 𝐅 𝑥, 𝑦, 𝑧 =
𝜕𝑀
𝜕𝑥
+
𝜕𝑁
𝜕𝑦
+
𝜕𝑃
𝜕𝑧
13. Lehman College, Department of Mathematics
Divergence, Gradient and Curl (3 of 5)
Solution. Since 𝐅 𝑥, 𝑦, 𝑧 = 𝑥3
𝑦2
𝑧 𝐢 + 𝑥2
𝑦 𝐣 + 𝑥𝑧2
𝐤, then
From the definition of divergence:
Therefore, we find the partial derivatives:
At the point 2, 1, −1 :
div 𝐅 𝑥, 𝑦, 𝑧 =
𝜕𝑀
𝜕𝑥
+
𝜕𝑁
𝜕𝑦
+
𝜕𝑃
𝜕𝑧
𝑀 𝑥, 𝑦, 𝑧 = 𝑥3 𝑦2 𝑧, 𝑁 𝑥, 𝑦, 𝑧 = 𝑥2 𝑦, 𝑃 𝑥, 𝑦, 𝑧 = 𝑥𝑧2
div 𝐅 𝑥, 𝑦, 𝑧 =
𝜕
𝜕𝑥
𝑥3
𝑦2
𝑧 +
𝜕
𝜕𝑦
𝑥2
𝑦 +
𝜕
𝜕𝑧
𝑥𝑧2
= 3𝑥2
𝑦2
𝑧 + 𝑥2
+ 2𝑥𝑧
div 𝐅 2, 1, −1 = 3 2 2
1 2
−1 + 2 2
+ 2 2 −1 =
14. Lehman College, Department of Mathematics
Divergence, Gradient and Curl (4 of 5)
We see that if 𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤, then
So we can write divergence as a symbolic dot product:
Where ∇ is the vector operator:
div 𝐅 𝑥, 𝑦, 𝑧 =
𝜕𝑀
𝜕𝑥
+
𝜕𝑁
𝜕𝑦
+
𝜕𝑃
𝜕𝑧
div 𝐅 𝑥, 𝑦, 𝑧 = ∇ ⋅ 𝐅
∇ =
𝜕
𝜕𝑥
,
𝜕
𝜕𝑦
,
𝜕
𝜕𝑧
15. Lehman College, Department of Mathematics
Divergence, Gradient and Curl (5 of 5)
Let 𝐅(𝑥, 𝑦, 𝑧) be a vector field given by:
for functions 𝑀, 𝑁 and 𝑃 of 𝑥, 𝑦, 𝑧 with continuous
partial derivatives in an open sphere.
Then the curl of 𝐅 is the vector-valued function:
From the definition of ∇, we see that (symbolically):
𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤
curl 𝐅 =
𝐢 𝐣 𝐤
𝜕
𝜕𝑥
𝜕
𝜕𝑦
𝜕
𝜕𝑧
𝑀 𝑁 𝑃
curl 𝐅 = ∇ × 𝐅
16. Lehman College, Department of Mathematics
Question 1 (1 of 7)
Consider the vector field
(b) Prove that 𝐅 is conservative and find a potential
function for 𝐅.
(c) Using the Fundamental Theorem of Line Integrals,
evaluate the line integral:
where 𝐶 is any smooth curve from (1, 2) to (3, 4).
Solution. A vector field 𝐅 is conservative if and only if:
𝐅(𝑥, 𝑦) =
1
1 + 𝑥𝑦
𝑦 𝐢 + 𝑥 𝐣
𝐶
𝑦 𝑑𝑥 + 𝑥 𝑑𝑦
1 + 𝑥𝑦
curl 𝐅 = 0
17. Lehman College, Department of Mathematics
Question 1 (2 of 7)
Solution (cont’d). To find curl 𝐅. If 𝐅 is of the form:
for functions 𝑀, 𝑁 and 𝑃 of 𝑥, 𝑦, 𝑧 with continuous
partial derivatives in an open sphere. Then:
If 𝑀 and 𝑁 are not dependent on 𝑧 and 𝑃 = 0, then the
above condition is equivalent to:
curl 𝐅 =
𝐢 𝐣 𝐤
𝜕
𝜕𝑥
𝜕
𝜕𝑦
𝜕
𝜕𝑧
𝑀 𝑁 𝑃
𝐅 𝑥, 𝑦, 𝑧 = 𝑀 𝐢 + 𝑁 𝐣 + 𝑃 𝐤
𝜕𝑁
𝜕𝑥
=
𝜕𝑀
𝜕𝑦
19. Lehman College, Department of Mathematics
Question 1 (4 of 7)
Solution (cont’d). Similarly:
It follows that 𝐅 is a conservative vector field.
(c) To find the potential function 𝑓, we know that:
Therefore:
and:
𝜕𝑀
𝜕𝑦
=
2 + 𝑥𝑦
2 1 + 𝑥𝑦
3
2
𝐅 = ∇𝑓 = 𝑓𝑥 𝐢 + 𝑓𝑦 𝐣
𝑓𝑥 𝑥, 𝑦 = 𝑀 𝑥, 𝑦 =
𝑦
1 + 𝑥𝑦
𝑓𝑦 𝑥, 𝑦 = 𝑁 𝑥, 𝑦 =
𝑥
1 + 𝑥𝑦
20. Lehman College, Department of Mathematics
Question 1 (5 of 7)
Solution (cont’d). It follows that:
Let 𝑢 𝑥, 𝑦 = 1 + 𝑥𝑦, so
𝜕𝑢
𝜕𝑥
= 𝑦, and:
where 𝐾 is a constant.
𝑓(𝑥, 𝑦) =
2 1 + 𝑥𝑦 + 𝐾
𝑦
1 + 𝑥𝑦
𝑑𝑥
= 𝑦 1 + 𝑥𝑦 −
1
2 𝑑𝑥
𝑓(𝑥, 𝑦) =
𝑓𝑥 𝑥, 𝑦 𝑑𝑥 =
21. Lehman College, Department of Mathematics
Question 1 (6 of 7)
Fundamental Theorem of Line Integrals:
Let 𝐶 be a piecewise smooth curve lying in an open
region 𝑅 and given by:
If 𝐅 𝑥, 𝑦 = 𝑀 𝐢 + 𝑁 𝐣 is conservative in 𝑅, with 𝑀 and 𝑁
continuous in 𝑅, then:
where 𝑓 is a potential function of 𝐅 in 𝑅:
𝐫 𝑡 = 𝑥 𝑡 𝐢 + 𝑦 𝑡 𝐣 for 𝑎 ≤ 𝑡 ≤ 𝑏
𝐶
𝐅 ⋅ 𝑑𝐫 =
𝐶
𝛻𝑓 ⋅ 𝑑𝐫
= 𝑓 𝑥 𝑏 , 𝑦 𝑏 − 𝑓 𝑥 𝑎 , 𝑦 𝑎
𝐅 = 𝛻𝑓
22. Lehman College, Department of Mathematics
Question 1 (7 of 7)
(c) Using the Fundamental Theorem of Line Integrals,
evaluate the line integral:
where 𝐶 is any smooth curve from (1, 2) to (3, 4).
We see that the integrand represents 𝛻𝑓 ⋅ 𝑑𝐫 for:
By the Fundamental Theorem of Line Integrals:
𝐶
𝑦 𝑑𝑥 + 𝑥 𝑑𝑦
1 + 𝑥𝑦
2 1 + 𝑥𝑦𝑓(𝑥, 𝑦) =
𝐶
𝑦 𝑑𝑥 + 𝑥 𝑑𝑦
1 + 𝑥𝑦
= 𝑓 3, 4 − 𝑓 1, 2 = 2 13 − 3
23. Lehman College, Department of Mathematics
Fund. Theorem of Line Integrals (1 of 6)
Example 3 (Lar., p. 1085). Using the Fundamental
Theorem of Line Integrals, evaluate the line integral:
where 𝐶 is a smooth curve from (1, 1, 0) to (0, 2, 3).
Solution. Note that the line integral represents:
for the vector field 𝐅(𝑥, 𝑦, 𝑧) given by:
We will first establish that 𝐅 is conservative and find a
potential function 𝑓 for 𝐅.
𝐶
2𝑥𝑦 𝑑𝑥 + 𝑥2 + 𝑧2 𝑑𝑦 + 2𝑦𝑧 𝑑𝑧
𝐶
𝐅 ⋅ 𝑑𝐫
𝐅 𝑥, 𝑦, 𝑧 = 2𝑥𝑦 𝐢 + 𝑥2 + 𝑧2 𝐣 + 2𝑦z 𝐤
24. Lehman College, Department of Mathematics
Fund. Theorem of Line Integrals (2 of 6)
Solution. 𝐅 is conservative if and only if:
where:
with 𝑀 = 2𝑥𝑦, 𝑁 = 𝑥2
+ 𝑧2
, and 𝑃 = 2𝑦𝑧, since:
Now, curl 𝐅 is given by:
so, we need to evaluate the partial derivatives.
𝐅 𝑥, 𝑦, 𝑧 = 2𝑥𝑦 𝐢 + 𝑥2 + 𝑧2 𝐣 + 2𝑦z 𝐤
curl 𝐅 = 0
curl 𝐅 =
𝐢 𝐣 𝐤
𝜕
𝜕𝑥
𝜕
𝜕𝑦
𝜕
𝜕𝑧
𝑀 𝑁 𝑃
curl 𝐅 =
𝜕𝑃
𝜕𝑦
−
𝜕𝑁
𝜕𝑧
𝐢 −
𝜕𝑃
𝜕𝑥
−
𝜕𝑀
𝜕𝑧
𝐣 +
𝜕𝑁
𝜕𝑥
−
𝜕𝑀
𝜕𝑦
𝐤
28. Lehman College, Department of Mathematics
Fund. Theorem of Line Integrals (6 of 6)
Solution (cont’d). Recall that 𝐶 is a smooth curve from
(1, 1, 0) to (0, 2, 3), and that the potential function is:
By the Fundamental Theorem of Line Integrals:
= 𝑓 0, 2, 3 − 𝑓 1, 1, 0
𝐶
2𝑥𝑦 𝑑𝑥 + 𝑥2 + 𝑧2 𝑑𝑦 + 2𝑦𝑧 𝑑𝑧
𝑓(𝑥, 𝑦, 𝑧) = 𝑥2 𝑦 + 𝑦𝑧2 + 𝐾
= 18 − 1 = 17
29. Lehman College, Department of Mathematics
Question 2 (1 of 3)
Consider the vector field
(a) Find curl 𝐅 and div 𝐅.
(b) Prove that 𝐅 is not conservative.
Solution. (a) curl 𝐅 is given by:
where 𝑀 = 𝑥2
, 𝑁 = 𝑥𝑦2
, 𝑃 = 𝑥2
𝑧 are functions of 𝑥, 𝑦, 𝑧.
𝐅 𝑥, 𝑦, 𝑧 = 𝑥2 𝐢 + 𝑥𝑦2 𝐣 + 𝑥2 𝑧 𝐤
curl 𝐅 =
𝐢 𝐣 𝐤
𝜕
𝜕𝑥
𝜕
𝜕𝑦
𝜕
𝜕𝑧
𝑀 𝑁 𝑃
31. Lehman College, Department of Mathematics
Question 2 (3 of 3)
Solution (cont’d). From the previous slide, curl 𝐅 is:
To find div 𝐅, we know that it is defined as:
(b) Since curl 𝐅 is not the zero vector, then 𝐅 is not a
conservative vector field.
curl 𝐅 = −2𝑥𝑧 𝐣 + 𝑦2 𝐤
div 𝐅 = ∇ ⋅ 𝐅 =
𝜕
𝜕𝑥
,
𝜕
𝜕𝑦
,
𝜕
𝜕𝑧
⋅ 𝑀, 𝑁, 𝑃
=
𝜕𝑀
𝜕𝑥
+
𝜕𝑁
𝜕𝑦
+
𝜕𝑃
𝜕𝑧
=
𝜕
𝜕𝑥
𝑥2 +
𝜕
𝜕𝑦
𝑥𝑦2 +
𝜕
𝜕𝑧
𝑥2 𝑧
= 2𝑥 + 2𝑥𝑦 + 𝑥2
= 𝑥 1 + 𝑥 + 2𝑦
32. Lehman College, Department of Mathematics
Question 3 (1 of 2)
Find the work done by the force field:
on a particle moving along the path 𝐶 given by:
Solution. The work 𝑊 done by the force is given by:
where:
𝑊 =
𝐶
𝐅 ⋅ 𝑑𝐫 =
𝐅 𝑥, 𝑦 = 𝑥 𝐢 + 𝑦 𝐣 − 5z 𝐤
𝐫 𝑡 = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 + 𝑡 𝐤
0
2𝜋
𝐅(𝑟 𝑡 ) ⋅ 𝐫′ t 𝑑𝑡
𝐫 𝑡 = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 + 𝑡 𝐤
𝐫′ 𝑡 = −2 sin 𝑡 𝐢 + 2 cos 𝑡 𝐣 + 𝐤
𝐅 𝑟(𝑡) = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 − 5t 𝐤
33. Lehman College, Department of Mathematics
Question 3 (2 of 2)
Solution. The work 𝑊 done by the force is given by:
where:
So:
𝑊 =
0
2𝜋
𝐅(𝑟 𝑡 ) ⋅ 𝐫′
t 𝑑𝑡
𝐫 𝑡 = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 + 𝑡 𝐤
𝐫′ 𝑡 = −2 sin 𝑡 𝐢 + 2 cos 𝑡 𝐣 + 𝐤
𝐅 𝑟(𝑡) = 2 cos 𝑡 𝐢 + 2 sin 𝑡 𝐣 − 5t 𝐤
𝑊 =
0
2𝜋
−4 sin 𝑡 cos 𝑡 + 4 sin 𝑡 cos 𝑡 − 5𝑡 𝑑𝑡
=
0
2𝜋
−5𝑡 𝑑𝑡 = −5
𝑡2
2 0
2𝜋
= −10𝜋2
34. Lehman College, Department of Mathematics
Question 4 (1 of 3)
Use Green’s theorem to evaluate the integral:
where 𝐶 is the boundary, oriented clockwise of the
region lying inside the semicircle 𝑦 = 25 − 𝑥2 and
outside the semicircle 𝑦 = 9 − 𝑥2.
Solution. By Green’s Theorem:
Here 𝑀(𝑥, 𝑦) = 𝑦 − 𝑥 and 𝑁(𝑥, 𝑦) = 2𝑥 − 𝑦. The region
𝐷 is bounded by the piecewise-smooth curve 𝐶
𝐶
𝑦 − 𝑥 𝑑𝑥 + 2𝑥 − 𝑦 𝑑𝑦
𝐶
𝑀𝑑𝑥 + 𝑁𝑑𝑦 =
𝐷
𝜕𝑁
𝜕𝑥
−
𝜕𝑀
𝜕𝑦
𝑑𝐴