What makes a function single-variable?
A single-variable function is the familiar calculus case with one input number and one output number. The clip illustrates this with , emphasizing that the symbol is the sole variable.
Khan Academy · YouTube · 6:02
This 180-second introductory whiteboard clip defines multivariable functions by contrasting them with single-variable functions. It presents as the ordinary case, then and as examples of scalar-output and vector-output multivariable functions. The key conceptual move is geometric: instead of treating and as separate numbers on number lines, the inputs are reinterpreted as one point in the -plane, so a function maps a point to a number or a vector. The speaker also argues that visual understanding should precede computational topics such as partial derivatives and gradients. This 180-second introductory segment previews several ways to visualize multivariable functions. It first explains that scalar functions with two-dimensional input can be graphed in 3D, with height representing output. It then flattens the same idea into a contour plot, using color for output size and contour lines for equal output values, with the example . Next, it distinguishes parametric surfaces from ordinary graphs by showing a 2D input being moved into 3D space. It then introduces vector fields as functions assigning a vector to each input point, illustrated by arrows and flowing droplets. Finally, it presents the transformation viewpoint: watch every point of the input space move to its output, visualized by deforming a grid, and notes that this connects multivariable calculus to linear algebra. This short clip displays a static graph of level curves (contour lines) for a multivariable function on a Cartesian grid. The level curves appear as intersecting straight lines, characteristic of linear functions. A brief audio fragment 'feel like' is heard at the start.
Use the learning inspector for key ideas and moments, or open the reading tabs for the complete notes.
Generated from the video's visuals and explanation; not verbatim speech.
The clip opens by naming the subject as multivariable calculus and immediately posing the preliminary question of what “multivariable” means before any computation is introduced.
It first recalls the familiar setting of ordinary calculus with a single-variable function, illustrated by : one numerical input produces one numerical output.
The lesson then generalizes to a multivariable function, shown as , where the output depends on two inputs at once.
Next it broadens the notion of output: a multivariable function need not return only a number. The example shows a vector-valued function.
From these examples the speaker extracts a convention: several output numbers are usually packaged as a vector, while several input numbers are written horizontally and interpreted as a point in space.
The visual argument then shifts from algebra to geometry. Although and can be imagined as separate numbers on separate number lines, the clip replaces that picture with the -plane and a single plotted point.
This leads to the central interpretive claim: for functions of two variables, it is more accurate to think of the input as one point in a plane, so the function maps a point to a number or a point to a vector. The speaker even suggests that “multidimensional calculus” would be a more faithful name.
The segment closes by postponing computational topics such as partial derivatives and gradients, arguing that visual understanding of different kinds of multivariable functions should come first.
The segment opens by shifting from the general topic of multivariable functions to concrete ways of visualizing them.
First, the speaker introduces graphs. For a function with two-dimensional input and a single numerical output, the graph lives in three dimensions: the input point sits in the xy plane, and the output value is shown as height above that plane.
The same kind of function can then be flattened into a two-dimensional picture. Instead of drawing height, the whole input plane is shown at once, and each point receives a color that roughly indicates the size of the output.
On that flattened picture, the curves drawn across the plane are contour lines. They mark sets of input points that all have the same output value. The example written on screen is .
Next, the speaker turns to surfaces in three-dimensional space. These may look similar to graphs, but they are conceptually different: they come from moving a two-dimensional input into three dimensions, and the focus is on the resulting surface rather than on a scalar height over a plane. These are called parametric surfaces.
The following visualization is a vector field. Here each input point is assigned a vector as its output. In the example shown, the function has two-dimensional input and two-dimensional output, so the plane is filled with arrows.
To build intuition, the speaker imagines droplets of fluid moving along those arrows. The resulting flow pattern gives qualitative insight into the underlying vector field.
Finally, the speaker presents a favorite interpretive method: treat the function as a transformation of space. Start with the input grid, then watch every point move to its output location. The animation shows a regular grid becoming skewed, making the global action of the function visible.
The segment closes by noting that this transformation viewpoint creates a natural bridge between multivariable calculus and linear algebra, and that later videos will explain these ideas in more detail.
The video presents a visualization of level curves for a multivariable function. On a standard Cartesian coordinate system, several straight lines are plotted. These lines represent the sets of points where the function equals a constant value . The fact that these level curves are straight lines indicates that the underlying function is likely linear. The grid allows for reading off specific coordinates along these contours.
A single-variable function is the familiar calculus case with one input number and one output number. The clip illustrates this with , emphasizing that the symbol is the sole variable.
A multivariable function handles more than one input variable. In the introductory example, takes two inputs, and , and produces an output that depends on both.
Yes. The clip gives as an example of a function whose output is not a single number but a vector with multiple components.
When several numbers appear in the output, they are commonly treated as a vector. When several numbers appear in the input, they are commonly written sideways and treated as a point in space. The speaker notes this is a convention, not an absolute rule.
Instead of imagining and as two unrelated numbers on separate number lines, the clip reinterprets the pair as a single point in the -plane. This makes the function conceptually a map from a point to a number or from a point to a vector.
Because the natural geometric picture of two-variable inputs is a point in a plane rather than two isolated scalars, the speaker argues that “multidimensional calculus” captures the idea more accurately than “multivariable calculus.”
The clip deliberately delays topics like partial derivatives and gradients. Its pedagogical point is that students should first build visual intuition for the types of multivariable functions before moving into computational calculus.
When a function has two-dimensional input and a single-number output, its graph is drawn in three dimensions. The input lies in the xy plane and the output is represented by height above that plane.
A scalar function of two variables can also be visualized entirely in two dimensions by coloring each input point according to the size of its output.
In a contour plot, each contour line joins input points that share the same output value. The example shown on screen is .
Parametric surfaces are made by moving a two-dimensional input into three-dimensional space. They resemble graphs visually, but they represent the shape of a 2D-to-3D output surface rather than scalar height over a plane.
A vector field gives a vector to every input point. In the example shown, the function has two-dimensional input and two-dimensional output, so arrows fill the plane.
Imagining droplets moving along the arrows gives an intuitive fluid-flow picture of the vector field and helps reveal the behavior of the underlying function.
Another way to understand a multivariable function is to watch the whole input space move to the output space. A regular grid deforming into a skewed grid visualizes this transformation view.
Viewing functions as transformations is presented as a bridge between multivariable calculus and linear algebra, because both subjects can be studied through how spaces are moved and distorted.
Level curves (or contour lines) show points in the domain where a multivariable function has the same value. For linear functions of two variables, these level curves are straight lines. The provided visual shows such a pattern on a coordinate grid.
Explore conditions, steps and evidence. Supplementary explanations are labeled separately from content shown in the video.
The board shows in yellow.
The speaker says ordinary-calculus functions have a single input and output a single number, calling this a single-variable function.
A single-variable function with one input variable ; in the displayed example it is defined by .
is treated as a single number; no explicit domain or codomain is stated.
The variable appears inside .
The speaker refers to the single variable in the ordinary-calculus example.
The single input variable of the ordinary single-variable function example.
A number on a number line; no specific numerical range is given.
The board shows in purple.
The speaker says a multivariable function handles multiple variables and may output a number depending on both inputs, giving as an example.
A multivariable function with two input variables and ; in the displayed scalar-output example it is defined by .
is treated as a pair of numbers, later described as a point in the -plane; no explicit domain or codomain is stated.
The board writes and later draws separate number lines labeled and , then an -plane with a point.
The speaker says common notation uses , but could also use or , and that two such quantities are better thought of as a single point in the -plane.
Two input variables of a multivariable function; they can be viewed separately as numbers or together as coordinates of one point in the -plane.
Each is a number; together they form a point in the plane. No explicit bounds are given.
The board shows in purple.
The speaker says a multivariable function could also output a vector and gives an invented example with entries and .
A vector-valued multivariable function taking two input variables and returning a column vector whose components depend on and .
Input is a pair of numbers; output is a two-component vector. The exact ambient space is not named.
The output is written vertically as .
The speaker says that when multiple numbers go into the output, the convention is to think of them as a vector.
A column vector used to represent multiple output numbers of a function.
A two-entry vector with first component and second component .
Two horizontal number lines are drawn, one marked and one marked ; they are then replaced by perpendicular axes forming an -plane with a single point plotted.
The speaker says instead of thinking of and as separate entities, one should think about the -plane and a single point, so the function takes a point to a number or a point to a vector.
as a point
The ordered pair of input values interpreted geometrically as one point in the -plane rather than two independent number-line objects.
The plane is shown qualitatively; no coordinate values are assigned to the plotted point.
Handwritten formula appears as .
Speaker says the function has a two-dimensional input and would be f of x y.
A scalar-valued multivariable function with two-dimensional input (x,y).
Two-dimensional input space; output is a single number.
Speaker refers to inputs living on this xy plane and later says what we are looking at is the xy plane, all of the input space.
A gray horizontal plane with yellow axes is shown beneath the 3D graph.
xy plane
The two-dimensional input space for functions visualized by height graphs or contour plots.
Input space for functions with two-dimensional input.
Speaker says a single number is their output, and the height of the graph is going to correspond with that output.
A vertical axis rises from the xy plane while a teal checkered surface sits above it.
height of the graph
The vertical coordinate representing the scalar output value of a function .
Used for scalar-valued functions with two-dimensional input.
Speaker says the lines here called contour lines tell you which inputs all share a constant output value.
Concentric closed curves are visible over a color-coded 2D field.
contour lines
Curves in the input plane joining points where the function has the same output value.
Contour plot of a scalar-valued function of two variables.
Speaker says these are called parametric surfaces.
A flat checkered sheet bends into a cylinder and then into a torus in 3D space.
parametric surfaces
Surfaces obtained by moving a two-dimensional input into three dimensions and looking at the resulting output shape.
Mappings from two dimensions to three dimensions.
The speaker welcomes viewers to multivariable calculus and says the first thing to get straight is what the word multivariable means.
The title "Multivariable calculus" is visible at the top left.
The clip introduces multivariable calculus as the branch being studied and immediately frames the central preliminary question as the meaning of "multivariable" before doing any calculus operations.
This is an introductory framing statement rather than a formal mathematical definition.
The speaker says ordinary-calculus functions have a single input, some kind of number, and output just a single number, and calls this a single-variable function.
The example is written on the board.
A single-variable function is presented as the familiar calculus case: it takes one numerical input and returns one numerical output. The example illustrates this pattern.
One input variable.
Output is a single number in the displayed example.
The speaker says a multivariable function handles multiple variables, commonly written with inputs like , and may output something that depends on both of those.
The board shows .
A multivariable function is defined here as a function that handles multiple variables at once. The example shows a function of two inputs whose output depends on both.
More than one input variable.
In the example, two inputs and .
The output depends on the inputs.
The speaker says the function could also output a vector, then states the convention: if there's multiple numbers that go into the output, think of it as a vector; if there's multiple numbers that go into the input, write them sideways and think of them as a point in space.
The board shows .
The clip distinguishes two notational conventions: multiple output numbers are usually represented as a vector, while multiple input numbers are often written horizontally and interpreted as a point in space.
Applies when a function has several output numbers or several input numbers.
The speaker explicitly says this convention is not set in stone.
The speaker says that although and could be thought of as two separate numbers on number lines, it would probably be more accurate to call the subject multidimensional calculus, because one should think about the -plane and a single point.
Separate number lines for and are drawn, then erased and replaced by perpendicular axes with a point plotted in the plane.
The input pair of a two-variable function is reinterpreted geometrically: rather than two isolated numbers, is a single point in the -plane. This motivates describing the function as taking a point to a number or a point to a vector.
Discussed for two-variable functions.
The plane is introduced qualitatively, without assigning coordinates to the drawn point.
Speaker says when you have multivariable functions, graphs become three dimensional, but these only really apply to functions that have some kind of two dimensional input and a single number as their output.
A teal checkered bowl-like surface is shown above a gray xy plane with a vertical axis.
For functions with a two-dimensional input and a single numerical output, the graph is drawn in three dimensions: the input point lies in the xy plane and the output value is represented by height above that plane.
The function has two-dimensional input.
The function has a single-number output.
Speaker says these functions can also be visualized just in two dimensions, flattening things out, where we visualize the entire input space and associate a color with each point.
Speaker says the color tells you roughly the size of that output, and the lines here called contour lines tell you which inputs all share a constant output value.
The handwritten example is .
A 2D color map with concentric curves is shown.
A scalar multivariable function can be flattened into a two-dimensional picture of the whole input space. Color encodes approximate output magnitude, and contour lines mark sets of inputs with equal output values.
The function is scalar-valued.
The input space is two-dimensional.
Speaker says surfaces in three dimensional space look like graphs, but they actually deal with a much different animal that you could think of as mapping two dimensions and ... moving into three dimensions.
Speaker says these are called parametric surfaces.
A flat checkered sheet is bent into a cylinder and then into a torus.
Parametric surfaces are produced by taking a two-dimensional input and moving it into three-dimensional space; the focus is on the shape of the output surface rather than on how each point gets there.
The mapping takes two-dimensional input.
The output is viewed as a surface in three dimensions.
Speaker says another fun one is a vector field, where every input point is associated with some kind of vector, which is the output of the function there.
Speaker says this would be a function with a two dimensional input and then two dimensional output because each of these are two dimensional vectors.
Yellow arrows are placed throughout a 2D grid.
Small droplets move along the directions indicated by the arrows.
A vector field assigns a vector to each input point. In the example shown, the function has two-dimensional input and two-dimensional output, and the arrows indicate the vector attached to each point.
Each input point is assigned a vector.
In the displayed example, both input and output are two-dimensional.
Speaker says one of my all-time favorite ways to think about multivariable functions is to just take the input space ... and watch them move to their output.
Speaker says this is going to be a function that also outputs in two dimensions, and I'm just going to watch every single point move over to where it's supposed to go.
A regular grid deforms into a skewed grid.
Another way to understand a multivariable function is to view it as a transformation: start with the input space, then track where each point moves in the output space. The video uses a 2D-to-2D example and shows the grid being distorted.
The function maps points from an input space to an output space.
The example shown is two-dimensional input to two-dimensional output.
The screen displays a Cartesian coordinate system with x-axis ranging from -7 to 6 and y-axis from -3 to 3. Multiple straight lines are drawn on the grid, forming a pattern of intersecting diagonal lines.
The visual shows level curves (or contour lines) for a multivariable function. These are sets of points in the domain where the function takes a constant value , i.e., . For linear functions, these level curves are straight lines.
The function is defined on a 2D domain.
The level curves correspond to constant values of the function.
The speaker says it would probably be more accurate to call it multidimensional calculus because instead of thinking of and as separate entities, one thinks about the -plane and a single point.
The visual transition from two number lines to an -plane supports this claim.
This is presented as the speaker's interpretive claim about terminology, not as a formally proved theorem.
For functions of several variables, it is more accurate conceptually to think in terms of multidimensional calculus, because the inputs are points in a plane or space rather than separate one-dimensional entities.
The function has multiple input variables.
Those inputs are being interpreted geometrically.
Informal universal claim about how multivariable functions should be conceptualized.
The speaker says, "this isn't set in stone, but the convention is to usually think if there's multiple numbers that go into the output, think of it as a vector. If there's multiple numbers that go into the input, just kind of write them more sideways like this and think of them as a point in space."
The speaker explicitly marks this as a convention rather than a necessary rule.
By common convention, multiple output numbers are treated as a vector, while multiple input numbers are written horizontally and treated as a point in space.
The function has multiple output numbers or multiple input numbers.
General convention statement, explicitly qualified as not absolute.
Speaker says these only really apply to functions that have some kind of two dimensional input ... and a single number as their output.
Three-dimensional graph visualization applies to functions with two-dimensional input and a single-number output.
The function has two-dimensional input.
The function has scalar output.
For the class of functions described in the video.
Speaker says the lines here called contour lines tell you which inputs all share a constant output value.
Contour lines join input points that share a constant output value.
The picture is a contour plot of a scalar-valued function.
For points lying on the same contour line.
Speaker says surfaces in three dimensional space ... look like graphs, but they actually deal with a much different animal that you could think of as mapping two dimensions ... into three dimensions.
Parametric surfaces resemble graphs visually but correspond to mappings from two dimensions into three dimensions rather than scalar height over a plane.
The object is described as a surface in three-dimensional space generated from two-dimensional input.
For the surfaces discussed in this segment.
Speaker says every input point is associated with some kind of vector, which is the output of the function there.
Speaker says this would be a function with a two dimensional input and then two dimensional output because each of these are two dimensional vectors.
In a vector field, the output at each input point is a vector; in the example shown, the function has two-dimensional input and two-dimensional output.
The object is a vector field.
The displayed example uses planar vectors.
For each input point in the field.
Speaker says understanding functions as transformations is going to be a great way to connect those two.
Viewing multivariable functions as transformations provides a connection between multivariable calculus and linear algebra.
The function is interpreted by moving input points to output points.
For the transformation-based interpretation discussed in the video.
First two horizontal number lines are drawn, one labeled and one labeled ; then they are erased and replaced by perpendicular axes forming an -plane with a point.
The speaker moves from saying and could be separate numbers to saying one should think about the -plane and a single point.
The speaker first allows the naive view that the two inputs are separate quantities, each living on its own number line.
Directly stated in the audio and shown by two separate horizontal lines.
The picture then replaces the two lines with perpendicular axes and a single plotted point, showing that the pair is better understood as one location in the plane.
Visual transformation on the board plus the speaker's explanation that one should think about the -plane and a single point.
After the reinterpretation, the function is described as taking a point to a number or a point to a vector.
Explicitly stated by the speaker after the plane diagram appears.
The geometric meaning of a two-variable input is a single point in the -plane, so a multivariable function is naturally viewed as mapping points to numbers or vectors.
Speaker says you can imagine a fluid flowing, so here's a bunch of droplets like water, and they kind of flow along that.
Speaker says that actually turns out to give insight about the underlying function.
Small droplets move through the arrow field.
Start with a vector field in which each input point carries a vector.
Directly stated by the speaker and shown as arrows on the plane.
Imagine droplets placed in the field and let them move along the local vector directions.
The speaker explicitly suggests imagining a fluid flowing and the animation shows droplets moving with the arrows.
Observe the resulting motion pattern to gain insight about the underlying function.
The speaker says this flow picture gives insight about the underlying function.
The flowing-droplet picture is an intuitive way to read qualitative information from a vector field.
Speaker says take the input space ... and watch them move to their output.
Speaker says I'm just going to watch every single point move over to where it's supposed to go.
A regular grid becomes a skewed grid.
Begin with the input space drawn as a regular coordinate grid.
The animation first shows an undistorted Cartesian grid.
Apply the function by sending each input point to its corresponding output point.
The speaker describes watching every point move to where it is supposed to go.
Track the images of the grid lines after all points move.
The animation shows the formerly straight grid lines becoming slanted and curved relative to the original axes.
The deformed grid visualizes the function as a transformation of the whole input space.
The board writes .
The speaker uses this as the ordinary-calculus example of a function with a single input and single output.
Illustrate the familiar calculus setting with a function of one variable.
One input variable .
The displayed rule is .
Show what a single-variable function looks like.
The function takes one number and returns one number, namely the square of .
Written directly on the board and described verbally as the ordinary-calculus case.
is a single-variable function.
Matches the speaker's description of one input and one output.
The board writes .
The speaker says one might imagine a number that depends on and in some way like .
Give an example of a function of two variables whose output is a number.
Two input variables and .
The displayed rule is .
Show a multivariable function with numerical output.
The output depends on both inputs: it squares and adds .
Directly written on the board and introduced verbally as a possible dependence on and .
.
Consistent with the speaker's statement that the output can be a number depending on both variables.
The board writes .
The speaker says the function could also output a vector and invents an example with entries and .
The speaker explicitly says he is just making stuff up here, so the example is illustrative rather than motivated by a prior problem.
Give an example of a function of two variables whose output has multiple components.
Two input variables and .
The displayed rule is .
Show a multivariable function with vector output.
The function takes the pair and returns a column vector whose first component is and second component is .
Written directly on the board and described verbally as a vector-output example.
.
Matches the speaker's convention that multiple output numbers are treated as a vector.
Handwritten text reads .
Speaker says this particular one is an x squared.
A colored contour plot fills the screen.
The speaker also mentions maybe some complicated thing, but no second explicit formula is written on screen in this clip.
Visualize a scalar function of two variables in the plane using color and contour lines.
The function is .
The input space is the xy plane.
Show how output size and equal-output sets appear in a two-dimensional visualization.
Write the example function with two-dimensional input and scalar output.
The formula is visibly handwritten on screen and named in the audio.
Represent the whole input plane and assign each point a color according to the size of its output.
The speaker explains that color tells roughly the size of the output.
Draw contour lines to mark inputs sharing a constant output value.
The speaker defines contour lines this way while the plot shows concentric curves.
The example is displayed as a color-coded contour plot of , with contour lines marking equal output values.
The visual matches the spoken description: a 2D input plane, color encoding output magnitude, and contour lines for constant output.
Yellow arrows fill a 2D grid.
Droplets move along the arrow directions.
Speaker says this would be a function with a two dimensional input and then two dimensional output because each of these are two dimensional vectors.
The exact algebraic formula for the displayed vector field is not given in this clip.
Visualize a function whose output at each point is a vector.
Each input point is assigned a vector.
The example shown has two-dimensional input and two-dimensional output.
Show how the vector field can be understood geometrically.
Place a vector arrow at each input point in the plane.
The diagram shows arrows distributed over a grid.
Interpret the arrows as the function outputs at those points.
The speaker states that each vector is the output of the function there.
Add moving droplets to suggest flow along the field.
The animation shows droplets traveling in the directions indicated by the arrows.
The vector field is represented by arrows at each point, with droplet motion providing an intuitive flow picture of the underlying function.
The spoken explanation and the animation agree: arrows encode vector outputs and droplets trace their direction field.
A regular grid deforms into a skewed grid.
Speaker says this is going to be a function that also outputs in two dimensions, and I'm just going to watch every single point move over to where it's supposed to go.
The exact formula of the transforming function is not stated in this clip.
Understand a 2D-to-2D multivariable function by watching the input space move to the output space.
The function takes points in two-dimensional space.
The function outputs in two dimensions.
Visualize the effect of the function on the entire input plane.
Start with the standard input grid.
The animation begins with evenly spaced horizontal and vertical lines.
Move every input point to its output location.
The speaker explicitly describes watching every single point move to where it is supposed to go.
Observe the resulting distorted grid as the image of the input space.
The final frame shows slanted grid lines replacing the original orthogonal grid.
The function is visualized as a transformation that sends the regular grid to a skewed grid.
The before-and-after animation directly supports the spoken transformation interpretation.
The text "Multivariable calculus" is visible at top left, and "Grant" is handwritten at top right.
The speaker introduces the topic and says his name is Grant.
Title text "Multivariable calculus"
Handwritten name "Grant"
The name "Grant" is written after the title is already present.
The topic title remains at the top left.
The clip opens by identifying the course topic and the instructor before any mathematical notation appears.
The blue subheading "Multivariable functions" appears below the main title.
Blue text "Multivariable functions"
A new subheading appears under the main title.
The main title remains visible.
The lesson narrows from the broad course topic to the specific subject of multivariable functions.
The formula is written in yellow, and an arrow is drawn toward the inside .
The speaker explains that ordinary-calculus functions have a single input and calls the single variable.
Formula
Arrow pointing to
The formula is built stroke by stroke.
An arrow is added to emphasize the input variable.
The formula remains on screen after being written.
The visual emphasis on supports the definition of a single-variable function.
The formula is written in purple below the earlier example.
The speaker introduces multivariable functions and gives this as an example of a number depending on and .
Formula
A second function rule appears beneath the first.
The earlier single-variable example stays visible above.
The stacked formulas contrast one-variable and two-variable functions.
Two horizontal yellow number lines are drawn, one marked with and one marked with .
The speaker says and could be thought of as two separate numbers on separate number lines.
Upper number line labeled
Lower number line labeled
Two distinct horizontal lines are drawn in sequence.
Both lines are presented as one-dimensional number lines.
This visualizes the less accurate viewpoint of treating the inputs as separate scalar entities.
The two number lines are erased and replaced by perpendicular axes forming an -plane, with a single point plotted.
The speaker says it would probably be more accurate to think about the -plane and a single point.
No coordinate values are attached to the plotted point.
Perpendicular axes
Plotted point in the plane
The separate number lines disappear.
A plane diagram appears in their place.
A single point is marked in the plane.
The discussion remains about the same two input variables and .
The animation demonstrates the conceptual shift from two independent numbers to one ordered-pair location.
The formula is written in purple below the scalar-output example.
The speaker says the function could also output a vector and gives this invented example.
Column-vector formula
A third function rule appears, now with a vertical bracketed output.
The input remains .
The visual form of the output reinforces the convention that multiple output numbers are treated as a vector.
A teal checkered bowl-like surface hovers above a gray plane with yellow axes and a vertical axis.
Speaker discusses graphs becoming three dimensional and height corresponding to output.
teal checkered surface
gray xy plane
yellow coordinate axes
vertical axis
The viewpoint rotates around the surface.
The relation between input plane and height is emphasized.
The surface remains above the plane.
The vertical direction represents output height.
This visual demonstrates the graph of a scalar function of two variables, with height encoding the output value.
A full-screen 2D color field with concentric curves appears.
Handwritten is added near the top.
Speaker explains color and contour lines.
colored 2D field
contour curves
axes labels
handwritten formula
Color varies across the plane.
Concentric curves mark equal-value sets.
The picture remains in the input plane rather than lifting into 3D.
The function is represented entirely in two dimensions by encoding output magnitude as color and equal outputs as contour lines.
A flat checkered sheet bends into a cylinder and then into a torus in 3D space.
Speaker introduces surfaces in three dimensional space and calls them parametric surfaces.
flat checkered sheet
cylinder
torus
3D axes
The sheet bends upward into a cylindrical form.
The cylindrical form closes into a torus.
The checker pattern stays attached to the surface.
The setting remains three-dimensional.
The animation illustrates a two-dimensional parameter domain being moved into three-dimensional space to form a surface.
Yellow arrows are drawn at many points of a 2D grid.
Speaker defines a vector field as assigning a vector to each input point.
2D grid
yellow arrows
Arrows appear at multiple input locations.
Each arrow is anchored to a point in the plane.
The arrows represent the vector output attached to each input point of the function.
Small droplets move through the arrow field.
Speaker says imagine a fluid flowing and that droplets flow along that.
droplets
arrow field
Droplets begin moving.
Their trajectories follow local arrow directions.
The underlying arrow field remains visible.
The motion of droplets gives an intuitive fluid-flow reading of the vector field.
The speaker first says one could think of and as two separate numbers on number lines, then says it would probably be more accurate to think about the -plane and a single point.
The board literally replaces two separate number lines with one plane containing a point.
Thinking of the inputs and only as two separate numbers on separate number lines.
For a function of two variables, the pair is better understood as a single point in the -plane, so the function maps a point to a number or to a vector.
The speaker says many people jump into partial derivatives and gradients, but he wants to spend videos talking about different ways to visualize multivariable functions first.
Believing one should immediately begin with computational tools such as partial derivatives and gradients.
The clip argues for first building visual intuition for the types of multivariable functions before moving into those calculus operations.
Speaker says surfaces in three dimensional space ... look like graphs, but they actually deal with a much different animal.
Because parametric surfaces are drawn in 3D, they may be mistaken for the same kind of object as graphs of scalar functions.
The video distinguishes them: graphs here mean height over a 2D input plane for scalar output, whereas parametric surfaces come from mapping two dimensions into three dimensions.
Speaker says don't worry if this doesn't make sense immediately.
A viewer might expect every previewed visualization to be fully understandable on first exposure.
The speaker explicitly frames this segment as a quick introduction and says more detailed videos will follow.
The speaker contrasts ordinary-calculus functions with a single input against multivariable functions handling multiple variables.
is followed by on the board.
The multivariable-function idea extends the single-variable case by allowing more than one input variable.
The board shows both and .
The speaker says the output can commonly be a number, but it could also be a vector.
Within the broad class of multivariable functions, the clip distinguishes scalar-output and vector-output cases.
Separate number lines for and are replaced by an -plane with a point.
The speaker says one should think about the -plane and a single point.
The geometric interpretation applies to multivariable functions by recasting their multiple inputs as one point in a plane.
The speaker links the plane-point viewpoint to the claim that "multidimensional calculus" would be more accurate.
The terminological claim depends on the prior geometric reinterpretation of inputs as points in a plane rather than separate scalars.
The speaker mentions partial derivatives and gradients as things one could jump into, but says he will first discuss ways to visualize multivariable functions.
Partial derivatives and gradients are named but not defined in this clip.
The clip contrasts immediate entry into computational calculus topics with first developing visual understanding of multivariable functions.
Speaker moves from 3D graphs to saying these functions also can be visualized just in two dimensions, flattening things out.
Contour plots are presented as a two-dimensional alternative to three-dimensional graphs for the same class of scalar multivariable functions.
Speaker defines contour lines as inputs sharing a constant output value.
Contour lines are the mechanism by which the contour-plot visualization encodes constant output values.
Speaker says surfaces look like graphs but deal with a much different animal, mapping two dimensions into three dimensions.
Both are drawn in three-dimensional space, but graphs represent scalar height over a plane while parametric surfaces represent outputs of a 2D-to-3D mapping.
Speaker says each input point is associated with a vector, which is the output of the function there.
The symbol 'vector field' is defined by the rule that the function output at each point is a vector.
Speaker says understanding functions as transformations is going to be a great way to connect those two.
The transformation viewpoint is presented as a bridge between multivariable calculus and linear algebra.
The speaker asks what the word multivariable means and answers by contrasting it with ordinary single-variable functions.
The board shows and then .
The board shows .
The speaker says the output could also be a vector.
Two number lines are replaced by an -plane with a point.
The speaker says it is more accurate to think about the -plane and a single point.
The speaker says it would probably be more accurate to call it multidimensional calculus.
The speaker says many people jump into partial derivatives and gradients, but he wants to discuss visualization first.
Speaker says graphs become three dimensional but only really apply to functions with two dimensional input and a single number output.
Speaker says contour lines tell you which inputs all share a constant output value.
Speaker contrasts surfaces that look like graphs with mappings from two dimensions into three dimensions.
Speaker defines a vector field as assigning a vector to each input point.
Speaker describes taking the input space and watching points move to their output, then connects this to linear algebra.
The handwritten example is .
A contour plot is shown for that example.
Covered · Introductory spoken framing of the topic and the question of what "multivariable" means.
Covered · Definition and example of a single-variable function using .
Covered · Definition of a multivariable function and scalar-output example .
Covered · Vector-output example and convention distinguishing vector outputs from point-like inputs.
Covered · Geometric reinterpretation of as a point in the -plane and the related terminology claim.
Covered · Closing remarks previewing later visualization-focused lessons and warning against jumping straight into partial derivatives and gradients.
Covered · Opening title card with no mathematical content beyond topic labeling.
Covered · 3D graph of a scalar multivariable function over the xy plane.
Covered · Contour plot visualization with handwritten example .
Covered · Parametric surfaces introduced via sheet-to-torus animation.
Covered · Vector fields shown by arrows and droplet flow.
Covered · Functions as transformations of the input grid, with connection to linear algebra.
Covered · Closing moment with no new mathematical content.
Covered · The entire 2-second clip consists of a static visual of level curves and a brief audio fragment.
Reviewed subject paths