Oxford Linear Algebra: Gram-Schmidt Process @TomRocksMaths
Oxford Linear Algebra: Gram-Schmidt Process  @TomRocksMaths
Uploaded October 2023 | Updated September 2026, 2 weeks ago
University of Oxford Mathematician Dr Tom Crawford introduces the steps of the Gram-Schmidt Process and explains why the algorithm gives you an orthonormal set of vectors. Check out ProPrep with a 30-day free trial: proprep.uk/info/TOM-Crawford

Links to the other videos mentioned:
Inner Product Space youtube.com/watch?v=ywjA25xFuew

Test your understanding of the content covered in the video with some practice exercises courtesy of ProPrep. You can download the workbooks and solutions for free here: api.proprep.com/course/downloadbook?file=Proprep%20-%20Linear%20Algebra%20-%20Inner%20Product%20Spaces%20-%20workbook.pdf

You can also find several video lectures from ProPrep explaining the content covered in the video here: proprep.com/courses/all/linear-algebra/inner-product-spaces/gram-schmitt-process/vid26063

As with all modules on ProPrep, each set of videos contains lectures, worked examples and full solutions to all exercises.

The video begins with a reminder of the definition of an orthonormal set, before introducing the 3 steps of the Gram-Schmidt Process. Step 1: normalise the first vector from a linearly independent set. Step 2: subtract the projection of the first orthonormal vector from the second vector in the linearly independent set, then normalise. Step 3: repeat step 2 for each of the remaining vectors.

Step 2 is explored in more detail through a direct calculation of the inner product and an explicit example in the 2D plane, including a visualisation of the projection map.

The video ends with a fully worked example of computing an orthonormal set in the polynomial inner product space where the inner product is defined via an integral.

Watch the other videos from the Oxford Linear Algebra series at the links below.

Solving Systems of Linear Equations using Elementary Row Operations (ERO’s): youtu.be/9pF__coVyEE

Calculating the inverse of 2x2, 3x3 and 4x4 matrices: youtu.be/VKOaG3Ogf9Q

What is the Determinant Function: youtube.com/watch?v=bLsBWVYSg0A

The Easiest Method to Calculate Determinants: youtu.be/qniUv4EZB0w

Eigenvalues and Eigenvectors Explained: youtu.be/8uISh6xyW7w

Spectral Theorem Proof: youtu.be/ADwsk9G5s_8

Vector Space Axioms: youtu.be/draqOOUoWQM

Subspace Test: youtu.be/3_MxBlWQsgs

Basis, Spanning and Linear Independence: youtu.be/wdOFi8aUNp0

Dimension Formula: youtu.be/lGo9E5dZ4f8

Direct Sum: youtube.com/watch?v=b1VZm4Oecq4

Linear Transformations: youtu.be/UF59Mok4fsQ

Rank Nullity Theorem: youtu.be/yZ52iqxaiCc

Inner Product Space: youtube.com/watch?v=ywjA25xFuew

Produced by Dr Tom Crawford at the University of Oxford. Tom is Public Engagement Lead at the Oxford University Department of Continuing Education: conted.ox.ac.uk

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Check out Proprep with a 30-day free trial here: proprep.uk/info/TOM-Crawford
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Oxford Linear Algebra: Gram-Schmidt Process

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