Linear Algebra: We define the standard inner product on R^n and explain its basic properties. A cosine formula is given in terms of the inner product and lengths of two vectors.

Views: 25257
MathDoctorBob

https://bit.ly/PG_Patreon - Help me make these videos by supporting me on Patreon!
https://lem.ma/LA - Linear Algebra on Lemma
https://lem.ma/prep - Complete SAT Math Prep
http://bit.ly/ITCYTNew - My Tensor Calculus Textbook

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MathTheBeautiful

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Jacob Bains

The vector space ν with an inner product is called a (real) inner product space.
Math tutoring on Chegg Tutors
Learn about Math terms like Inner Product Spaces on Chegg Tutors. Work with live, online Math tutors like Chris W. who can help you at any moment, whether at 2pm or 2am.
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About Chris W., Math tutor on Chegg Tutors:
University of Pennsylvania, Class of 2007
Math, Computer Science major
Subjects tutored: Applied Mathematics, Geometry, Web Design, Numerical Analysis, GRE, Linear Algebra, LaTeX, Calculus, SAT II Mathematics Level 2, SSAT (math), ACT (math), Computer Science, Linear Programming, Basic Math, SAT (math), Geometry (College Advanced), Pre-Calculus, Statistics, Computer Certification and Training, Algebra, Software Engineering, Information Technology, PSAT (math), Discrete Math, Number Theory, SAT II Mathematics Level 1, Pre-Algebra, Trigonometry, and Set Theory
TEACHING EXPERIENCE
Over 7 years of experience teaching math at 3 universities and a community college. Courses ranged from Intermediate Algebra to Calculus II and class sizes varied from 2 to over 200 students. Tutoring since 2000 formally and informally, individually and in groups, for courses from Geometry to Differential Equations. Please note that I generally will not be available for audio and video in live lessons but my experience has been that audio and video aren't really needed.
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Views: 49652
Chegg

Inner product space in hindi.
Inner product vector space with example.
Solved example of inner product space in hindi.
Inner product space in matrix.
Linear Algebra. Inner product space in hindi.
Gram-Schmidt Orthogonalization Process - Linear Algebra: https://www.youtube.com/playlist?list=PLtFV0hYqGnEmH5UMu8-I8VXKoCwwiwikn
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Please subscribe the chanel for more vedios and please support us.

Views: 27471
Mathematics Analysis

Thanks to all of you who support me on Patreon. You da real mvps! $1 per month helps!! :) https://www.patreon.com/patrickjmt !! Inner Product and Orthogonal Functions , Quick Example.
In this video, I give the definition of the inner product of two functions and what it means for those functions to be orthogonal. I work a quick example showing that two functions are orthogonal.

Views: 148141
patrickJMT

https://bit.ly/PG_Patreon - Help me make these videos by supporting me on Patreon!
https://lem.ma/LA - Linear Algebra on Lemma
https://lem.ma/prep - Complete SAT Math Prep
http://bit.ly/ITCYTNew - My Tensor Calculus Textbook

Views: 9707
MathTheBeautiful

The properties of inner products on complex vector spaces are a little different from thos on real vector spaces. We go over the modified axioms, look at a few examples, and tackle the complex Schwarz inequality.

Views: 14169
Lorenzo Sadun

This lesson discusses the notations involved with the dot product, and the notation that is involved with the inner product. We will go more in depth in the actual book.

Views: 8972
JJtheTutor

(This video should be redone, and it might introduce too much new stuff for someone who hasn't already seen it, so it will likely be split into several videos.)
This video introduces the idea that many properties of vector spaces can be extended to functions, and the inner product is used as an example. This is an essential idea in quantum mechanics.

Views: 2613
PhysicsHelps

https://bit.ly/PG_Patreon - Help me make these videos by supporting me on Patreon!
https://lem.ma/LA - Linear Algebra on Lemma
https://lem.ma/prep - Complete SAT Math Prep
http://bit.ly/ITCYTNew - My Tensor Calculus Textbook

Views: 10822
MathTheBeautiful

Algebra 1M - international
Course no. 104016
Dr. Aviv Censor
Technion - International school of engineering

Views: 17682
Technion

Developed by Dr. Betty Love at the University of Nebraska - Omaha for use in MATH 2050, Applied Linear Algebra.
Based on the book Linear Algebra and Its Applications by Lay.

Views: 8887
Betty Love

The Elementary Linear Algebra Book : http://amzn.to/2tFxVSY
The Advanced Linear Algebra Book : http://amzn.to/2tyYHON

Views: 8871
ANS ACADEMY

When working with a non-standard inner product, we have to compute the metric matrix. This changes the form of the bras, but not the kets.

Views: 2368
Lorenzo Sadun

Definition of an inner product and some examples

Views: 39818
Gilbert Eyabi

Algebra 1M - international
Course no. 104016
Dr. Aviv Censor
Technion - International school of engineering

Views: 10241
Technion

Views: 16606
refrigeratormathprof

Views: 18841
MathTheBeautiful

Home page: https://www.3blue1brown.com/
Dot products are a nice geometric tool for understanding projection. But now that we know about linear transformations, we can get a deeper feel for what's going on with the dot product, and the connection between its numerical computation and its geometric interpretation.
Full series: http://3b1b.co/eola
Future series like this are funded by the community, through Patreon, where supporters get early access as the series is being produced.
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3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted about new videos, subscribe, and click the bell to receive notifications (if you're into that).
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Views: 606145
3Blue1Brown

We write the inner product of two vectors as a bracket. This can be viewed as the product of a "bra" and a "ket". We explain what these mean for standard inner products on R^n and C^n, and work some examples.

Views: 4974
Lorenzo Sadun

Representation Theory 6, Standard Inner Product, Orthogonal and Orthonormal

Views: 1044
LadislauFernandes

In this lecture, we explore geometric interpretations of vectors in R^n. Specifically, we define the inner product (dot product) of two vectors and the length (norm) of a vector. We also discuss what it means for two vectors in R^n to be orthogonal.

Views: 1202
James Hamblin

Advanced Matrix Theory and Linear Algebra for Engineers by Prof. Vittal Rao ,Centre For Electronics Design and Technology, IISC Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in

Views: 8251
nptelhrd

It's the first video lesson in a series dedicated to linear algebra (second course). The topics of this video are: Inner Product, Inner Product Space, Euclidean and Unitary Spaces, formal definitions You'll be required to know the basics before taking this course.
If you need supplement the basics, watch the lectures at:
https://www.khanacademy.org/math/linear-algebra
Video by Elitzur Bahir
The videos are based on course number 20229 in the Open University.

Views: 73371
ASTROTZUR

Representation Theory 8, Vector space with Inner Product and Orthogonal Complement

Views: 972
LadislauFernandes

Views: 2631
refrigeratormathprof

Hey How to Basic here to show you what the inner product of these two eigenstates are. plot twist it's not zero in case you thought it be zero.

Views: 3654
Andrew Dotson

Linear Algebra by Dr. K.C. Sivakumar,Department of Mathematics,IIT Madras.For more details on NPTEL visit http://nptel.ac.in

Views: 40101
nptelhrd

When are vectors orthogonal? In this video you will learn about the innerproduct of vectors. With the inner product you can determine if vectors are orthogonal. You will also learn important properties of inner products. This prelecture video is part of the linear algebra courses taught at TU Delft.

Views: 2023
Mathematics TU Delft

Views: 4300
Prasad Senesi

When are vectors orthogonal? In this video you will learn about the innerproduct of vectors. With the inner product you can determine if vectors are orthogonal. You will also learn important properties of inner products. This prelecture video is part of the linear algebra courses taught at TU Delft.

Views: 4124
Mathematics TU Delft

Hope this makes sense and that i am explaining well. if problems please comment

Views: 18705
Matt B

Leave a tip for good service: https://paypal.me/jjthetutor
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JJtheTutor

Advanced Numerical Analysis by Prof. Sachin C. Patwardhan,Department of Chemical Engineering,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in

Views: 7290
nptelhrd

We define and explain the properties of the inner product to allow for the specification of angles between vectors in high dimensions, and use the notion of orthogonality (angle =90deg) to easily solve linear equations

Views: 3257
William Nesse

Views: 1158
Jacob Bains

Views: 503
118yt118

Views: 946
Jeff Suzuki

Advanced Matrix Theory and Linear Algebra for Engineers by Prof. Vittal Rao ,Centre For Electronics Design and Technology, IISC Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in

Views: 2654
nptelhrd

Views: 1129
Iyad Obeid

Views: 315
Ernest Williams

Hundreds of FREE Problem Solving Videos And FREE REPORTS from
www.digital-university.org

Views: 4328
TheDigitalUniversity

Advanced Matrix Theory and Linear Algebra for Engineers by Prof. Vittal Rao ,Centre For Electronics Design and Technology, IISC Bangalore. For more details on NPTEL visit http://nptel.iitm.ac.in

Views: 3455
nptelhrd

This course will continue on Patreon at http://bit.ly/PavelPatreon
Textbook: http://bit.ly/ITCYTNew
Solutions: http://bit.ly/ITACMS_Sol_Set_YT Errata: http://bit.ly/ITAErrata
McConnell's classic: http://bit.ly/MCTensors
Weyl's masterpiece: http://bit.ly/SpaceTimeMatter Levi-Civita's classic: http://bit.ly/LCTensors Linear Algebra Videos: http://bit.ly/LAonYT
Table of Contents of http://bit.ly/ITCYTNew
Rules of the Game
Coordinate Systems and the Role of Tensor Calculus
Change of Coordinates
The Tensor Description of Euclidean Spaces
The Tensor Property
Elements of Linear Algebra in Tensor Notation
Covariant Differentiation
Determinants and the Levi-Civita Symbol
The Tensor Description of Embedded Surfaces
The Covariant Surface Derivative
Curvature
Embedded Curves
Integration and Gauss’s Theorem
The Foundations of the Calculus of Moving Surfaces
Extension to Arbitrary Tensors
Applications of the Calculus of Moving Surfaces
Index:
Absolute tensor
Affine coordinates
Arc length
Beltrami operator
Bianchi identities
Binormal of a curve
Cartesian coordinates
Christoffel symbol
Codazzi equation
Contraction theorem
Contravaraint metric tensor
Contravariant basis
Contravariant components
Contravariant metric tensor
Coordinate basis
Covariant basis
Covariant derivative
Metrinilic property
Covariant metric tensor
Covariant tensor
Curl
Curvature normal
Curvature tensor
Cuvature of a curve
Cylindrical axis
Cylindrical coordinates
Delta systems
Differentiation of vector fields
Directional derivative
Dirichlet boundary condition
Divergence
Divergence theorem
Dummy index
Einstein summation convention
Einstein tensor
Equation of a geodesic
Euclidean space
Extrinsic curvature tensor
First groundform
Fluid film equations
Frenet formulas
Gauss’s theorem
Gauss’s Theorema Egregium
Gauss–Bonnet theorem
Gauss–Codazzi equation
Gaussian curvature
Genus of a closed surface
Geodesic
Gradient
Index juggling
Inner product matrix
Intrinsic derivative
Invariant
Invariant time derivative
Jolt of a particle
Kronecker symbol
Levi-Civita symbol
Mean curvature
Metric tensor
Metrics
Minimal surface
Normal derivative
Normal velocity
Orientation of a coordinate system
Orientation preserving coordinate change
Relative invariant
Relative tensor
Repeated index
Ricci tensor
Riemann space
Riemann–Christoffel tensor
Scalar
Scalar curvature
Second groundform
Shift tensor
Stokes’ theorem
Surface divergence
Surface Laplacian
Surge of a particle
Tangential coordinate velocity
Tensor property
Theorema Egregium
Third groundform
Thomas formula
Time evolution of integrals
Torsion of a curve
Total curvature
Variant
Vector
Parallelism along a curve
Permutation symbol
Polar coordinates
Position vector
Principal curvatures
Principal normal
Quotient theorem
Radius vector
Rayleigh quotient
Rectilinear coordinates
Vector curvature normal
Vector curvature tensor
Velocity of an interface
Volume element
Voss–Weyl formula
Weingarten’s formula
Applications: Differenital Geometry, Relativity

Views: 5097
MathTheBeautiful