Heat equation definition
The lecture defines the one-dimensional heat equation as . The lecturer stresses that, unlike Laplace's equation, this PDE includes time. The dependent variable is , with one time derivative and two space derivatives.
MIT OpenCourseWare · YouTube · 10:48
This 120-second lecture segment introduces the one-dimensional heat equation and contrasts it with Laplace's equation by emphasizing that time now appears. The lecturer proposes a separated solution , comparing the setup to ordinary systems where multiplies an eigenvector, but here the spatial factor is an eigenfunction. He substitutes the product form into the heat equation, obtains , cancels the common exponential factor, and identifies the remaining relation as an eigenvalue equation for . The final simplified equation is begun verbally but not fully completed within the clip. This 120-second whiteboard segment solves the heat equation by separation of variables. The lecturer starts from , chooses sine spatial functions , and computes their eigenvalue under the second derivative operator as ²π². He then uses linearity to build the general solution as an infinite sum over modes k, introducing coefficients and writing the series form ^{-k²π² t} . This 120-second lecture segment reviews the displayed one-dimensional heat equation and its separated product solutions . The board lists the sine eigenfunctions with eigenvalues , giving the general solution _ke^{-k^}. The lecturer explains that the time dependence is exponential decay, with larger k decaying faster and decaying most slowly like . He interprets the solution physically as heat in a bar whose ends are held at temperature zero, so heat flows out through the frozen ends. He then verifies that the sine factors vanish at and , matching the zero-temperature boundary condition. This clip sets up a heat-equation example on a unit bar with frozen ends and initial temperature . The lecturer recalls the general separated solution with , then explains that the unknown coefficients are found by matching the initial condition. He writes and derives the sine-series equation , stopping before computing the coefficients explicitly. This 120-second whiteboard segment applies a previously derived heat-equation modal expansion to the specific initial condition on . The lecturer identifies the coefficient-finding step as a Fourier sine series problem, writes the matching equation at , then reconstructs the solution for as . He emphasizes the role of the exponential decay factor and closes with a qualitative sketch showing the temperature profile relaxing toward the zero steady state. This 48-second whiteboard segment reviews the final setup for solving the heat equation by an infinite sine series. The upper board displays the general solution together with and . The lower board imposes the initial condition , producing the matching equation , and then restates the solution for . The lecturer explains that because the heat equation is a PDE and the initial data is a whole function, infinitely many modes are needed, and Fourier series is the separate step used to determine the coefficients . The clip ends with a copyright and license card.
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Generated from the video's visuals and explanation; not verbatim speech.
The segment opens with the lecturer identifying the topic as the heat equation and placing it among the basic partial differential equations. The board shows the central formula , making clear that the unknown is a function of both time and space.
He then contrasts this equation with Laplace's equation. The key distinction stated in the audio is that Laplace's equation did not involve time, whereas the heat equation does. This motivates the structural feature visible on the board: one time derivative on the left and two space derivatives on the right.
From that structure, the lecturer introduces the dependent variable and emphasizes that the solution depends on both and . This sets up the next move: trying to separate the time dependence from the space dependence.
The proposed separated form is written on the board as . The lecturer explains this as a product of an exponential factor in time and a function of space only. The purpose is to reduce the partial differential equation to a simpler relation for the spatial factor.
He explicitly compares this to the method for ordinary systems of differential equations. In that earlier setting, a factor is pulled out with as the eigenvalue, and the remaining object is an eigenvector. Here, because the remaining factor depends on , the lecturer calls an eigenfunction instead.
With the analogy established, he states the plan: substitute the separated form into the heat equation and see what condition determines . This is the operational core of the segment, turning the ansatz into a derivation.
The substitution is carried out term by term. Differentiating with respect to brings down a factor of , giving on the left-hand side. On the spatial side, the lecturer says there are two space derivatives, so the right-hand side becomes times the second derivative of with respect to .
The board displays the substituted equation in the form . The intended mathematical content, supported by the spoken explanation, is the appearance of the second spatial derivative of multiplied by the same exponential factor .
The next step is cancellation. Because appears on both sides, the lecturer crosses it out visually and says that this is always possible. The cancellation removes the time-dependent factor from the relation and leaves an equation involving only and the spatial function .
He then names the result: an eigenvalue equation. The logical conclusion of the segment is that the separated heat equation has been reduced from a partial differential equation in to an eigenvalue problem for . The final simplified formula is begun verbally with reference to the second derivative of the function, but the clip ends before the completed expression is fully written on the board.
The segment opens on a blackboard already containing the heat equation and the separated ansatz . The lecturer’s first task is to interpret : it is the scalar multiplier that appears when the spatial operator acts on .
He then chooses the spatial eigenfunctions to be sine functions and writes . This advances the solution method from a generic separated form to a concrete family of candidate modes indexed by .
To find the associated eigenvalue, he applies two derivatives to . Each differentiation brings down a factor of , and the second derivative of sine produces a minus sign, so the result is . Hence the eigenvalue is .
Having identified both the eigenfunctions and eigenvalues, the lecturer shifts from a single mode to the full solution. He states that because the heat equation is linear, known solutions may be combined.
He therefore writes the general solution as an infinite sum over modes: . The coefficients weight each basic separated solution, and the final remark clarifies that the sine eigenfunction itself carries the index .
The blackboard presents the heat equation together with separated solutions and a braced list of eigenfunction data. The lecturer identifies the displayed family as eigenfunctions and eigenvalues, then points to the summation as the combination of these solutions.
He clarifies the notation in the general solution by saying that should be written as . This connects the compact summation notation to the explicit sine eigenfunctions shown beside it.
The next focus is the time factor. Because the eigenvalue is , the temporal part becomes . The lecturer describes this dependence on as fast decay, and as increases the exponent becomes more negative, so later terms in the sum decay more rapidly.
For the slowest-decaying displayed mode, he takes . Substituting into gives , so the first term has the form involving or, in his speech, , times . This establishes that the lowest-index sine mode persists longest.
The lecturer then interprets the mathematics physically. He describes a material bar whose ends are kept at temperature zero, or frozen. Heat initially inside the bar flows through the bar and escapes out the ends, so the whole bar approaches freezing. In the formula, this loss of heat is represented by the exponential decay factors in time.
Finally, he checks why the sine eigenfunctions fit the boundary condition. At , , so the left end is frozen. At , for integer , so the right end is also frozen. Thus the displayed sine modes satisfy and , matching the physical setup of both ends held at temperature zero.
The lecturer begins by turning the abstract heat-equation solution into a concrete picture. On the lower board he writes “Graph” and draws a horizontal bar representing the spatial interval from 0 to 1.
He marks both ends with f and explains verbally that the ends are kept frozen. This establishes the boundary picture: a bar whose endpoints are held fixed while heat can leave through those ends.
Next he specifies the initial state. Above the bar he writes and says he is starting with a warm bar, so the temperature at time 0 is 1 across the interval. He also labels the horizontal direction as x and later marks the endpoints as and .
The physical description is refined by saying the sides are insulated, so the heat escapes only out the two ends. This connects the sketch to the standard one-dimensional heat-flow model on a finite rod.
To solve the problem, he points back to the upper board and recalls the previously derived general solution , together with and . The key point is that this formula still contains unknown coefficients .
He then states the method for determining those coefficients: match the initial condition. In other words, specialize the general solution at and compare it with the prescribed function .
On the lower board he writes and constructs the matching equation step by step. Setting makes the exponential factor equal to 1, so the series reduces to .
He equates that reduced series to 1, obtaining . This is the central algebraic condition of the clip: the coefficients must be chosen so that a sine series represents the constant initial temperature profile.
The segment ends before the actual Fourier coefficients are computed. The lecturer indicates that once this matching equation is solved for the ’s, one can substitute them back into the general solution to get the final answer for .
The clip opens with the upper board already showing the separated heat-equation solution , together with and . On the lower board, the lecturer points to the initial-condition equation and explains that determining the coefficients is a Fourier sine series problem: only sine modes appear here, not cosine modes.
He then turns to the right side of the lower board and writes the solution for positive time. Starting from the coefficients fixed by the initial condition, he reconstructs each mode by reattaching the exponential factor, producing . The spoken explanation makes clear that the come from the initial data, while the full time-dependent answer is obtained by multiplying each sine mode by .
After completing the formula, he comments on its structure. Although the answer is an infinite sum, he presents it as a standard and workable PDE solution format: a numerical coefficient , a time factor that decays rapidly, and a spatial factor depending on x. This verbal breakdown corresponds directly to the three visible pieces of each term in the written series.
To interpret the formula geometrically, he returns to the graph labeled over . He sketches a sequence of curves below the initial flat profile, showing the temperature dropping first near the ends and then overall. The visual progression illustrates the effect of the decaying exponentials, and he concludes that the steady state is the entire bar at temperature zero.
The segment opens on a two-board layout. The upper board states the modal solution form for the heat equation, , and beside it lists the displayed sine mode with eigenvalue . The lecturer points to this structure while saying that this is what the solutions to the heat equation look like.
He then identifies the missing computational stage: after writing the infinite series, one still has to determine the coefficients . In his words, this is the Fourier series step of finding the coefficients in the infinite series of solutions. The board itself does not compute those coefficients here; it only exposes where they enter.
Next he explains why the series is infinite rather than finite. Because the problem is a partial differential equation and the initial condition is a whole function of , a single mode cannot match the data. The solution must combine infinitely many separated modes so that their sum can reproduce the prescribed initial profile.
The lower board makes that matching explicit. It records the initial condition and, underneath the label , writes . This follows directly from substituting into the general series, since . The lecturer states that Fourier series tells us how to perform this matching and how to find the 's.
To the right, under , the board restores the time-dependent form . Thus the same sine basis that matches the initial state at evolves for positive time by multiplying each mode by its exponential decay factor. The lecturer closes by calling Fourier series a separate and important question.
The lecture image gives way to a black end card reading © 2015 copyright Gilbert Strang and stating that the work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International License, with the license URL shown below.
The lecture defines the one-dimensional heat equation as . The lecturer stresses that, unlike Laplace's equation, this PDE includes time. The dependent variable is , with one time derivative and two space derivatives.
To solve the heat equation, the lecturer looks for product solutions of the form . The factor carries the time dependence, while carries the space dependence.
The lecturer compares this setup to ordinary systems of differential equations, where is paired with an eigenvector and is the eigenvalue. In the PDE case, the remaining object depends on , so it is called an eigenfunction rather than an eigenvector.
Substituting into the heat equation gives a time-derivative side and a space-derivative side involving times the second derivative of . The board shows the substituted relation before cancellation.
Because the same factor appears on both sides after substitution, the lecturer cancels it. This step removes the explicit time dependence and leaves an equation for the spatial function .
After cancellation, the lecturer identifies the remaining relation as an eigenvalue equation for . The segment ends as he begins to state the second-derivative form, so the final simplified equation is not fully completed on screen within this clip.
The lecturer begins from the heat equation and uses separated solutions . In this form, the time dependence is exponential and the spatial dependence is isolated in , which is then treated through an eigenvalue problem.
For the spatial factor, the lecturer selects sine functions and writes . This gives a concrete family of candidate eigenfunctions labeled by the mode index .
Applying the second derivative to brings down twice and introduces a minus sign, yielding . Therefore the associated eigenvalue is .
Because the heat equation is linear, the lecturer builds the general solution by summing basic separated solutions over all modes. The resulting series is , where are coefficients for each mode.
The clip centers on the one-dimensional heat equation , where is the temperature field in a bar. The displayed equation has no extra diffusivity constant, so the spatial second derivative appears with coefficient 1.
Solutions are built in separated form , with an exponential time factor and a spatial eigenfunction . The board also records the eigenvalue relation , although some nearby chalk writing is crossed out.
The specific modes listed are with eigenvalues for positive integers . The lecturer explicitly clarifies that the in the summation should be understood as .
The general solution displayed is . It combines all separated sine modes, each multiplied by a coefficient and its own exponential decay factor.
The time factor becomes more strongly damped as grows because the negative exponent has magnitude . Therefore later terms in the sum decay more quickly than earlier terms.
Among positive integer modes, the smallest decay rate occurs at , giving the temporal factor . The lecturer identifies this as the term that decays most slowly, with coefficient spoken as and written on the board as notation.
The decay is interpreted as heat leaving a material bar whose ends are held at temperature zero. Heat flows within the bar and escapes through the frozen ends, so the temperature inside the bar tends toward zero over time.
The boundary condition is checked directly from the sine eigenfunctions: and . Hence each mode vanishes at both endpoints, matching and .
The clip introduces a concrete initial-boundary-value problem: a bar from 0 to 1 with both ends kept frozen and initial temperature . The sketch on the board records the physical setup that the later series solution must satisfy.
Before solving the specific example, the lecturer points to the previously derived formula for the heat equation on this interval. It expresses the solution as a sum of decaying exponential time factors multiplied by sine spatial modes, with unknown coefficients .
The method emphasized in the clip is to determine the unknown coefficients by imposing the initial data. One sets in the general solution and matches the result to the prescribed initial temperature profile.
Substituting into the general solution turns every exponential factor into 1, leaving only the sine series. For the present problem the initial profile is the constant 1, so the coefficients must satisfy a Fourier sine representation of 1 on (0,1).
By the end of the clip the lecturer has reduced the problem to the equation that determines the ’s, but he has not yet computed their explicit values. The next mathematical step would be to solve this sine-series identity and substitute the resulting coefficients back into the full solution for .
The lecturer identifies the coefficient-finding problem as a Fourier sine series because the spatial basis consists only of terms. At the exponential factors become 1, so matching the initial condition gives .
Explore conditions, steps and evidence. Supplementary explanations are labeled separately from content shown in the video.
The board shows the solution form .
The unknown function or solution of the heat equation, depending on time t and space x.
Function of two variables, t and x.
The lecturer says that time comes into the heat equation and that the solution depends on t.
t appears in ∂u/∂t and in .
t
Time variable.
Variable appearing in the time derivative and exponential factor.
The lecturer says the solution depends on x and that x is also a coordinate here.
x appears in ∂^2u/∂ and .
x
Space variable or spatial coordinate.
Variable appearing in the second spatial derivative and in the eigenfunction .
The lecturer refers to λ as the eigenvalue and says the time derivative brings down a λ.
λ appears in and in ∂S/∂.
λ
Eigenvalue associated with the separated time factor .
Scalar parameter multiplying t in the exponential and appearing as a coefficient after substitution.
The lecturer calls S an eigenfunction because it depends on x.
The board shows in and in the substituted equation.
Spatial factor in the separated solution; described by the lecturer as an eigenfunction.
Function of x.
The top line on the board reads Heat equation ∂u/∂t = ∂^2u/∂.
First partial derivative of u with respect to time t.
Left-hand side of the heat equation.
The top line on the board reads Heat equation ∂u/∂t = ∂^2u/∂.
Second partial derivative of u with respect to space x.
Right-hand side of the heat equation.
The right side of the board shows ∂S/∂.
Result of applying the time derivative to , with S treated as the spatial factor.
Left-hand side after substituting the separated form into the heat equation.
The right side of the board shows ∂S/∂.
Expression shown on the board for the spatial-derivative side after substitution; the displayed derivative notation is ambiguous relative to the spoken second derivative.
Right-hand side after substituting the separated form into the heat equation.
The board shows the heat equation as ∂ = ∂²u/∂x² and the separated solution form .
Temperature or unknown function of time t and space x.
Function of two variables t and x.
The lecturer says that λ is “some number times my function.”
The separated solution is written as , and later λ is identified as -k^.
λ
Eigenvalue associated with the spatial operator d²/dx² in the separated solution.
Scalar parameter; in this example it becomes negative for sine eigenfunctions.
The board writes .
The lecturer says he is looking for functions S and that they will be sine functions.
Spatial eigenfunction in the separated solution .
Function of x.
The lecturer introduces this as the heat equation video and says it is the second of the three basic partial differential equations.
The board states Heat equation ∂ = ∂^2u/∂.
The segment defines the one-dimensional heat equation as a partial differential equation relating the first time derivative of u to the second space derivative of u. The lecturer contrasts it with Laplace's equation by saying that now time comes into the equation.
The dependent variable is .
The equation contains one time derivative and two space derivatives.
The lecturer says he hopes to separate the two parts and looks for solutions like times a function of x.
The board writes Solutions .
The lecturer proposes looking for solutions in product form, with a time-dependent exponential factor and a space-dependent factor . He explicitly compares this to solving ordinary systems of differential equations, where multiplies an eigenvector; here the spatial factor is called an eigenfunction because it depends on x.
The solution is sought as a product of a function of t and a function of x.
λ is treated as the eigenvalue.
is treated as the eigenfunction.
The lecturer says he substitutes the proposed solution into the differential equation to discover what determines .
The board shows ∂.
The displayed right-hand derivative is written as ∂S/∂, while the spoken explanation refers to two space derivatives and the second derivative of the function.
The method is to insert into the heat equation. The time derivative brings down λ, producing on the left. On the spatial side, the lecturer says there are two space derivatives, leading to an expression involving the second derivative of S multiplied by .
Use the product form .
Differentiate with respect to t on the left and with respect to x twice on the right.
The lecturer says, 'And always, I cancel e to the lambda t' and then says he has an eigenvalue equation.
The lecturer draws diagonal cancellation marks through the factors on both sides of the substituted equation.
The final simplified equation is not fully written before the clip ends; only the start of the next line, 'So the second derivative of my function is', is audible.
After substitution, the common factor appears on both sides and is canceled visually and verbally. The lecturer identifies the remaining relation as an eigenvalue equation for the unknown function .
The same nonzero exponential factor must appear on both sides after substitution.
The board displays “Heat equation ∂u/∂t = ∂²u/∂x²” and “Solutions ”.
The lecturer explains that λ is a number multiplying the function and identifies S as a sine function.
For the heat equation, the lecturer uses separated solutions of the form . The time dependence is exponential, while the spatial part is chosen to satisfy an eigenvalue problem for the second derivative operator.
Applied to the heat equation ∂u/∂t = ∂²u/∂x².
The spatial factor is treated as an eigenfunction of d²/dx².
The lecturer writes .
He says the functions S will be sine functions and asks what the eigenvalue is.
The boundary conditions that select these sine modes are not stated in this clip.
The spatial eigenfunction used in this example is a sine function with argument kπx. Taking two derivatives returns the same sine function multiplied by a constant, so it is an eigenfunction of the second derivative operator.
Used as the spatial factor in .
The integer index k labels different modes.
The lecturer says that taking two derivatives makes kπ come out twice with a minus sign.
The board shows .
Differentiating twice brings down the factor kπ twice and introduces a minus sign, giving the eigenvalue for the spatial operator.
Applies to .
Uses the second derivative operator d²/dx².
The lecturer says that if several solutions are known and the equation is linear, one takes combinations of the basic solutions.
He writes a general solution as a sum over k from 1 to infinity.
The full final formula is not completely legible in every frame, but the spoken explanation and visible terms identify the intended series form.
Because the heat equation is linear, the lecturer constructs the general solution by summing basic separated solutions over all modes k, with coefficients multiplying each mode.
Requires linearity of the PDE.
Uses the previously found eigenpairs (, -k²π²).
The sum runs over ,2,3,... in the displayed construction.
The board title reads "Video 8.3: Heat equation" followed by .
The lecture context is the heat equation solution family.
The clip displays the heat equation as a partial differential equation relating the time derivative of temperature u to its second spatial derivative. In the lecturer's physical interpretation, u represents temperature in a material bar, with heat flowing through the bar and escaping at the ends.
u is a function of time t and position x
The displayed equation uses unit diffusivity because no constant multiplies
The board writes "Solutions ".
The lecturer calls the displayed family eigenfunctions and eigenvalues.
The heat equation is solved by looking for product solutions in which the time dependence and space dependence separate: a temporal exponential factor multiplies a spatial function. The spatial function is treated as an eigenfunction, and the exponent parameter is treated as the corresponding eigenvalue.
S is the spatial part
is the eigenvalue controlling the time factor
The board shows , with parts crossed out.
The lecturer refers to the family of eigenfunctions and eigenvalues.
The first expression is visually ambiguous because of chalk crossings; the readable mathematical content is the eigenvalue relation ''.
The spatial factor satisfies an eigenvalue equation for the second-derivative operator. The crossed-out writing on the board indicates revision, but the retained relation identifies with the second derivative of S.
S is twice differentiable in x
is the eigenvalue associated with S
The board writes "General sol _ke^{-k^}".
The lecturer says this is the combination of these solutions and calls it the general solution.
The general solution shown is an infinite linear combination of separated solutions. Each term has a coefficient , an exponential time-decay factor , and a spatial eigenfunction .
k runs over positive integers
The formula assumes the listed sine modes form the relevant solution family
The lecturer says, 'Now time comes into the heat equation. We have a time derivative and matching with two space derivatives.'
The board equation is ∂u/∂t = ∂^2u/∂.
The heat equation presented in this segment contains one time derivative on one side and two space derivatives on the other side.
The equation under discussion is the heat equation written on the board.
For the displayed function in this lecture segment.
The lecturer says this is exactly like solving ordinary systems of differential equations, where was pulled out with λ as the eigenvalue and an eigenvector appeared; here it is an eigenfunction because it depends on x.
Seeking solutions of the heat equation in the form is analogous to solving ordinary systems of differential equations using times an eigenvector, except that the spatial factor here is an eigenfunction rather than a vector.
The PDE solution is sought by separating time and space dependence.
For the comparison made in this lecture segment between ordinary systems and the heat equation.
The lecturer says he cancels and has an eigenvalue equation.
Cancellation marks are drawn through the exponential factors on both sides.
The exact final simplified formula is not completed on screen within the clip.
After substituting into the heat equation and canceling the common factor , the remaining relation is an eigenvalue equation for S.
The substituted equation contains the same factor on both sides.
For the separated solution form used in this segment.
The lecturer states that after taking two derivatives one gets back , so it is an eigenfunction, and the eigenvalue is -k²π².
The board shows and .
For , applying the second derivative operator gives d²² = -k²π² , so the associated eigenvalue is ²π².
.
The operator under consideration is d²/dx².
For each mode index k used in the construction.
The lecturer says that if one knows several solutions and has a linear equation, one just takes combinations of those basic solutions.
The proof of superposition is not shown in this clip; only the principle is stated.
Because the heat equation is linear, sums of known separated solutions are also solutions, and the general solution is formed by taking such combinations over all modes.
The PDE is linear.
Each term in the sum is a known solution of the heat equation.
Over the indexed family of basic solutions used in the series.
The lecturer says the dependence on t is fast decay, and as k gets larger, later terms in the sum decay really fast.
The displayed factor is .
In the displayed general solution, the temporal factor for the kth mode is ; as k increases, the magnitude of the negative exponent increases, so later terms decay faster in time.
k is a positive integer
The general solution uses the displayed factor
For each positive integer k and nonnegative time t, larger k gives a faster exponential decay rate.
The lecturer says the term that decays most slowly is k equal one, with and .
Setting in gives .
The spoken coefficient is heard as while the board notation is .
Among the modes indexed by positive integers k in the displayed sum, the slowest decay occurs for , whose temporal factor is .
k ranges over positive integers
The decay factor is
For positive integer mode indices k, the minimum decay rate occurs at .
The lecturer says when x is zero the sine is zero, and when x is one he has sine of k pi, which is again zero.
The board lists .
For every positive integer k, equals 0 at and at , so the displayed spatial eigenfunctions match the stated frozen-end boundary condition.
k is a positive integer
The spatial eigenfunction is
For all positive integers k, the function vanishes at both endpoints and .
The lecturer describes a material bar with ends kept at temperature zero, heat flowing around in the bar, and heat flowing out the ends as the bar approaches freezing.
In the lecturer's physical description, the exponential decay of the solution modes corresponds to heat initially inside the bar flowing out through ends held at temperature zero, so the bar approaches freezing.
u represents temperature in a material bar
The ends are kept at temperature zero
Heat is initially present in the bar
For the described bar with frozen ends, the displayed decaying solution is interpreted as heat escaping over time.
The lecturer says, 'Whenever I have to find these coefficients, this is a Fourier sine series. I have only sines, not cosines here.'
The displayed initial-condition equation contains only terms.
For this heat-equation example, determining the coefficients from the initial condition is a Fourier sine series problem, not a full cosine-including Fourier series problem.
The spatial basis functions are .
The initial profile is represented on by a sine expansion.
For the displayed example with and basis .
The lecturer explicitly says the steady state is the whole thing at temperature zero.
The sketched later-time curves move downward toward the horizontal axis.
In the depicted evolution, the steady-state temperature profile is throughout the bar.
Each mode carries the factor .
The boundary values shown in the sketch remain zero.
As for .
The lecturer says, 'Once again, we have infinitely many solutions. We're talking about a partial differential equation. We have a whole function to match, so we need all of those.'
Because the heat equation is a partial differential equation and the initial data is a whole function, the solution must use infinitely many separated modes rather than a single one.
The problem is a partial differential equation
There is a full initial function to match
For the displayed heat-equation setup, infinitely many solution modes are needed.
The lecturer explains separation, substitution, cancellation, and the resulting eigenvalue equation.
The board shows , then ∂S/∂, with cancellation marks through .
The last written simplification is incomplete in the clip; the spoken phrase begins 'So the second derivative of my function is' but does not finish before the segment ends.
Start from the heat equation written on the board.
Given definition of the heat equation in this lecture segment.
Assume a separated solution with an exponential time factor and a spatial factor .
Separation-of-variables ansatz stated by the lecturer.
Differentiate the assumed solution with respect to time; the exponential derivative brings down λ.
Standard derivative rule for , as described by the lecturer when he says the time derivative brings down a λ.
Differentiate the assumed solution twice with respect to space; the time factor remains multiplied outside the spatial derivative.
The lecturer says there are two space derivatives and writes the substituted spatial side with multiplying the derivative expression for S.
Equate the time-derivative side and the space-derivative side after substitution into the heat equation.
Substitution into the heat equation.
Cancel the common factor from both sides to obtain the eigenvalue equation for S.
The lecturer explicitly cancels and calls the result an eigenvalue equation.
The separated heat equation reduces to an eigenvalue problem for the spatial function S, with the final simplified equation not fully completed on screen before the clip ends.
The lecturer says, “take two derivatives of this,” then explains that kπ comes out twice with a minus sign.
The board shows and .
Start from the proposed spatial eigenfunction written on the board.
Observed directly from the lecturer’s writing and speech.
Apply the second derivative operator to the sine function.
This is the eigenvalue test for the spatial operator d²/dx².
Two differentiations bring down the factor kπ twice and introduce a minus sign.
Standard differentiation rule for sine composed with a linear argument, as explained verbally by the lecturer.
Since the result is a constant multiple of the original function, that constant is the eigenvalue.
Definition of eigenfunction/eigenvalue for the operator d²/dx².
The function is an eigenfunction of d²/dx² with eigenvalue ²π².
The lecturer says the previous pair was simple and now writes the general solution by taking combinations of basic solutions.
The board shows a sum from to infinity with coefficients , exponential decay, and sine factors.
Some intermediate handwriting is partially obscured while the lecturer writes, but the final spoken formula identifies the intended expression.
Begin with the separated solution form already on the board.
Previously established setup for solving the heat equation.
Substitute the eigenvalue and eigenfunction found for each mode k.
From the derivation of the sine eigenpair.
This gives one basic separated solution for a fixed k.
Direct substitution into the separated form.
Form the general solution by summing over all modes with coefficients .
Linearity of the heat equation allows superposition of solutions, as stated by the lecturer.
The general solution is represented as an infinite linear combination of separated sine-mode solutions with coefficients .
The board shows , , and the general solution with .
The lecturer discusses dependence on t as fast decay and identifies the factor as .
Start from the separated product solution displayed on the board.
Observed board formula for solutions of the heat equation.
Use the eigenvalue listed for the sine spatial modes.
Observed board formula pairing with .
Substitute the eigenvalue into the temporal factor.
Direct substitution of into .
For the first mode, the decay factor becomes .
Substitute into ; this matches the lecturer's spoken example.
The displayed separated solutions decay in time according to , with the mode decaying like .
The lecturer evaluates the sine functions at and and states both give zero.
The board lists .
Take the displayed kth spatial eigenfunction.
Observed board formula and lecturer's clarification for .
At the left endpoint , the sine factor is zero.
Evaluation of the sine function at 0.
At the right endpoint , the sine factor is also zero for integer k.
The sine of an integer multiple of is zero; this matches the lecturer's statement.
Each displayed sine eigenfunction vanishes at both endpoints, matching the stated zero-temperature boundary condition.
The lecturer says, "when t is zero, this is one, and I just have the , the sine of k pi x. That has to match the one."
Lower board shows followed by .
Start from the displayed general solution on the upper board.
Observed formula on the board.
Replace by its explicit sine form.
Observed definition on the upper board.
Impose the initial time used to match the initial condition.
Explicitly written on the lower board and stated in the audio.
At the exponential time factor equals 1.
Standard evaluation of the exponential at zero; consistent with the lecturer saying "when t is zero, this is one."
After setting , the remaining series must equal the initial temperature profile 1.
Matching the substituted general solution to the written initial condition .
The coefficients are determined by requiring the sine series to represent the constant initial profile 1 on .
Top board shows ; lower board writes at .
The lecturer says he is finding the coefficients so that this will match one, the initial condition.
Start from the general separated solution displayed on the top board.
Given formula on the board.
At the initial time , each exponential factor equals 1.
Direct substitution into the exponential.
Therefore the initial profile is represented by a pure sine series.
Substitute into the general solution.
Matching the prescribed initial condition yields the coefficient equation shown on the lower board.
Equate the series representation of to the given initial value 1.
The coefficients must be chosen so that the sine series equals 1 on the interval, which is exactly the Fourier sine-series matching step.
After writing the initial series, the lecturer writes for .
He says, 'and then for t greater than zero, the solution u will be ... the sum of these 's ... times times .'
First determine from the initial condition at .
Displayed lower-board equation and spoken explanation.
Then reinsert the time-dependent exponential factor into each mode to obtain the solution for .
Use the general solution structure from the top board with the now-determined coefficients.
Once the Fourier sine coefficients are known from the initial data, the full heat-equation solution for positive time is the same sine series multiplied mode-by-mode by .
Top board gives with .
Bottom board writes and under .
Start from the displayed general solution on the top board.
Board formula.
Substitute the displayed spatial mode into the general solution.
Board formula beside the general solution.
Set in the series.
Direct substitution of the initial time into the displayed formula.
Use the initial condition and simplify to obtain the matching equation shown on the board.
Initial condition plus elementary simplification of the exponential factor.
The initial condition becomes the Fourier sine matching equation on the displayed interval.
The lecturer says the term that decays most slowly is k equal one, with and .
The general solution contains B_ke^{-k^}.
The coefficient is spoken as but written on the board as .
Identify the temporal factor of the slowest-decaying term in the displayed general solution.
The general solution contains terms B_ke^{-k^}
k is a positive integer
The lecturer states that larger k gives faster decay
Find the form of the time-decay factor.
Start from the general kth term shown on the board.
Observed formula for the general solution.
Choose the smallest positive integer index because the lecturer identifies it as the slowest-decaying term.
Audio statement that the term decaying most slowly has k equal one.
Substitute into the displayed kth term.
Direct substitution into B_ke^{-k^}.
The first mode has temporal factor , with coefficient written on the board as and spoken as .
This agrees with the lecturer's spoken example: "there'll be and ".
The lecturer says, "Maybe I start off with a warm bar," "So I have an ordinary heated bar," and "And I put it in the freezer."
Lower board draws a horizontal bar from 0 to 1, labels both ends f, marks and , and writes .
The final explicit values of are not computed within this clip.
Graph the solution for a bar on whose ends are kept frozen and whose initial temperature is .
The bar runs from 0 to 1.
Both ends are marked f and described as frozen.
The sides are insulated so heat escapes only out the two ends.
The initial condition is .
Reduce the general heat-equation solution to the equation that determines the coefficients for this specific initial-value problem.
Draw the physical bar as the spatial domain.
Stated in the audio as "here's my bar from zero to one" and shown on the board.
Assign the initial temperature profile across the whole bar.
Written on the board and spoken as "So u at zero and x, I'll say be one."
Use the previously obtained general solution as the starting formula.
Referenced from the upper board when the lecturer says he must remember the general solution.
Set and match the series to the initial condition.
Written on the lower board and explained verbally as matching the initial picture.
The worked setup ends with the coefficient-matching equation .
The lecturer states that from this equation he will find the 's and then obtain the final solution for .
Graph labeled shows a flat top over .
Lower board writes under .
The lecturer says the temperature starts out through the whole bar at one.
The numerical values of are not computed in this clip; the lecturer says a separate Fourier-series video is needed to know what these numbers come out to be.
Solve the heat equation on with initial temperature , using the displayed sine-mode expansion.
for
Spatial modes are
General solution form is
Express the solution as a Fourier sine series whose coefficients are fixed by the initial condition, then write the time-dependent solution for .
Set in the general solution so the exponentials become 1.
Substitution into the displayed general formula.
Match the resulting sine series to the constant initial profile 1.
Initial condition stated on the board and in speech.
Restore the time factor to get the solution for later times.
General solution structure from the top board.
, where are the Fourier sine coefficients determined by .
The answer is verified structurally in the video by checking that at the exponentials equal 1 and the series reproduces the initial condition; explicit numerical verification of is deferred to another lecture.
A blackboard fills the background with the title Video 8.3: Heat equation, the equation ∂u/∂t = ∂^2u/∂, and the solution form followed by the substituted equation.
Blackboard text 'Video 8.3: Heat equation'.
Equation ∂u/∂t = ∂^2u/∂.
Solution form .
Substituted equation ∂S/∂.
Lecturer standing at the board.
The lecturer points to the time derivative and spatial derivative terms while explaining the equation structure.
He gestures to the separated solution form and labels the exponential and factors as eigenvalue and eigenfunction parts.
He draws cancellation marks through the factors on both sides of the substituted equation.
He begins writing a new line below the substituted equation near the end of the clip.
The main heat equation remains visible throughout the clip.
The separated solution form remains visible throughout the clip.
The visual sequence tracks the algebraic reduction from the PDE to a separated eigenvalue equation: define the equation, propose a product solution, substitute, then cancel the common exponential factor.
Diagonal chalk strokes cross out on both sides of ∂.
Term on the left side of the substituted equation.
Term on the right side of the substituted equation.
Diagonal cancellation marks.
Both exponential factors are marked for removal from the equation.
The remaining factors λ, S, and the derivative expression for S stay on the board.
The animation represents division or cancellation by the common nonzero factor , leaving an equation involving only λ and the spatial function S.
A blackboard fills the frame with the title “Video 8.3: Heat equation,” the PDE ∂u/∂t = ∂²u/∂x², and the separated solution template .
Blackboard text for the heat equation
Separated solution formula
Lecturer standing at the board
The lecturer points to the existing formulas while speaking about λ and S.
The heat equation itself remains displayed unchanged.
The separated form remains the reference structure.
The visual setup establishes that the lesson is solving the heat equation by separating time and space factors.
The lecturer writes and then writes beneath it.
Formula
Formula
Chalk in the lecturer’s hand
A new spatial eigenfunction is added below the earlier solution template.
The corresponding eigenvalue is then written directly underneath.
The original heat equation and separated solution form remain visible above.
The board progression shows the concrete eigenpair selected for the spatial part of the solution.
The lecturer writes “General sol =” and then adds a summation symbol with below and infinity above, followed by , an exponential factor, and a sine factor.
The exact final handwritten layout is partly obscured during writing, but the spoken formula clarifies the intended expression.
Label “General sol”
Summation sign with limits to
Coefficient
Exponential factor
Sine factor
The lecture moves from a single eigenpair to an indexed family of solutions.
Coefficients are introduced to weight each mode.
The underlying separated structure continues to determine each term in the sum.
The visual sequence demonstrates superposition: many basic separated solutions are combined into one general solution.
A blackboard fills the background with the title "Video 8.3: Heat equation" and the equation at the top.
Below are lines for separated solutions, a general solution sum, and a brace listing and .
Title "Video 8.3: Heat equation"
Equation
Separated solution
Crossed-out eigenvalue-relation writing
General solution _ke^{-k^}
Braced list and
The lecturer points among the eigenfunction/eigenvalue list, the separated solution, and the general solution.
Around 118 seconds, the lower blackboard panel is pushed upward, moving the main writing higher in the frame.
The displayed heat equation remains visible throughout the clip.
The general solution and the braced sine/eigenvalue list remain on the board throughout the clip.
The board organizes the lesson from PDE to separated solutions to eigenfunction data to the superposed general solution, supporting the spoken explanation of modal decay and boundary conditions.
The lecturer uses his hands to indicate a bar and its ends while describing temperature zero at the ends and heat flowing out.
He gestures toward the sine formula while evaluating and .
Lecturer's hands
Mental image of a material bar
Endpoints corresponding to and
Displayed sine eigenfunction
His hands move apart and inward to represent the bar and its ends.
He points to the sine expression while discussing endpoint values.
The verbal boundary condition remains that both ends are kept at temperature zero.
The spatial eigenfunction under discussion remains .
The gesture sequence connects the abstract sine zeros at and to the physical picture of frozen ends through which heat escapes.
Lower board shows a horizontal line segment with endpoints labeled 0 and 1, both ends marked f, later annotated and , and written above.
The lecturer says, "here's my bar from zero to one" and "This way is x."
Horizontal bar segment
Endpoint labels 0 and 1
Frozen-end markers f
Axis label x
Initial condition
The lecturer first draws the bar from 0 to 1.
He then marks both ends with f to indicate frozen ends.
He adds the direction label x and the endpoint labels and .
He writes above the bar to specify the initial temperature.
The spatial interval remains throughout the sketch.
Both ends remain labeled as frozen.
The diagram encodes the boundary and initial data for the heat equation: a unit-length bar with fixed cold ends and uniform initial temperature 1.
Around the middle of the clip the lecturer points up to the boxed general solution on the upper board.
He says, "let me remember what the general solution looked like."
Boxed formula
Definitions and
The lecturer shifts attention from the lower-board sketch to the upper-board formula.
He points to the boxed expression while discussing how to proceed.
The upper-board formula remains unchanged during this reference.
The visual gesture links the concrete initial-value problem on the lower board to the previously derived general series solution above.
Throughout the clip, the upper board remains visible with General Sol., the boxed series, , and .
Upper chalkboard text
Boxed formula
Side notes and
The top-board formulas stay unchanged during the clip.
They serve as the reference structure reused on the lower board.
The upper board supplies the already-derived modal decomposition, while the lower board applies it to the specific initial condition .
Lower-left graph is labeled Graph and , with horizontal axis and marks , .
Below it appears and .
Rectangular initial profile
Axis labels and
Equation
The initial profile is constant and equal to 1 across the bar.
The series contains only sine terms.
The visual pairing shows that the constant initial temperature is being represented by a Fourier sine series.
The lecturer turns to the lower-right board and writes step by step.
He narrates the construction as the sum of 's times times .
Handwriting of
Summation symbol
Coefficient
Exponential factor
Sine factor
First the left-hand side is written.
Then the summation and coefficient are added.
Next the exponential decay factor is inserted.
Finally the spatial factor completes each term.
The coefficient comes from the initial condition.
The spatial basis remains .
The animation of writing makes explicit how the later-time solution is assembled from the initial-condition coefficients and the modal decay factor.
The lecturer says, 'We had Laplace's equation, that was time was not there. Now time comes into the heat equation.'
One might think the previously discussed Laplace equation and the heat equation have the same variable structure.
The lecturer distinguishes them by stating that Laplace's equation did not involve time, whereas the heat equation includes a time derivative.
The lecturer says, 'Here, it's an eigenfunction because it depends on x. We didn't have x before.'
One might carry over the ordinary-systems terminology and treat the x-dependent factor as an eigenvector.
In this heat-equation setting, the lecturer identifies the x-dependent factor as an eigenfunction rather than an eigenvector.
After finding one eigenpair, the lecturer explicitly contrasts it with the “general solution” and says one must take combinations of basic solutions.
Finding a single separated solution such as for one k gives only one basic mode, not the full solution of the heat equation.
The lecturer emphasizes that because the equation is linear, the general solution is built by summing many such basic solutions with coefficients .
The lecturer says, "And for should have written in sine k pi x."
The general solution uses , while the braced list separately gives .
Reading the general solution as if alone specifies the spatial function could leave the actual sine form implicit.
The lecturer explicitly corrects the notation by saying that should be written as , which is also listed in the braced eigenfunction formula.
The board contains crossed-out writing near the eigenvalue relation, including and .
The readable retained relation is .
The exact intended pre-correction expression is obscured by chalk crossings.
The crossed-out symbols near the eigenvalue relation might be mistaken for additional independent equations.
The crossings indicate revision on the board; the usable mathematical content is the eigenvalue relation '' together with the listed sine eigenfunctions and eigenvalues.
The lecturer says, "the numbers are always found by matching the initial condition."
He writes and then the series equal to 1.
One might think the boxed series already gives the answer without further work.
The clip emphasizes that the coefficients are still unknown until the initial condition is matched at .
The lecturer says, 'You may think, well, that's a pretty messy solution because it's an infinite sum. But it's not bad for partial differential equations.'
One might think that because the heat-equation solution is an infinite sum, it is too messy to be meaningful.
The video stresses that for PDEs this structure is normal and useful: the solution separates into numerical coefficients, rapidly decaying time factors, and simple spatial sine modes.
The lecturer explicitly says, 'This is a Fourier sine series. I have only sines, not cosines here.'
One might assume that any Fourier-type coefficient calculation includes both sine and cosine terms.
In this example the expansion uses only sine modes , so the coefficient-finding problem is specifically a Fourier sine series problem.
The lecturer says this is the step 'which I didn't take' and identifies it as the Fourier series step of finding the coefficients.
He closes by calling Fourier series 'a separate and important question.'
One might think the board already computes the values of the coefficients .
In this clip the lecturer only sets up the matching equation and states that Fourier series is the method for finding the 's; the computation itself is deferred.
The lecturer first states the heat equation and then says he hopes to separate the two parts and look for solutions like .
The separated solution form is introduced specifically as a method for solving the heat equation defined earlier in the segment.
The lecturer says he substitutes the proposed solution into the differential equation.
The board moves from (x} to ∂S/∂.
The product ansatz is applied by direct substitution into the heat equation to derive an equation for S.
Cancellation marks are drawn only after the substituted equation is present on the board.
The cancellation step depends on having first substituted the separated form into the heat equation and obtained a common exponential factor on both sides.
The lecturer compares the current setup to ordinary systems of differential equations with and eigenvectors, then says here the factor is an eigenfunction.
The separated PDE solution resembles the ODE eigenvalue solution form, but the spatial object changes from an eigenvector to an eigenfunction.
The board first shows , then specializes and .
The general separated form contains the more specific choice of sine eigenfunctions used in this example.
The lecturer asks for the eigenvalue after writing the sine function and then computes it.
is paired with on the board.
The eigenvalue is obtained by applying the second derivative operator to the sine eigenfunction.
The lecturer says the previous result was a simple pair and now forms the general solution by taking combinations.
The series uses and , exactly the factors from the eigenpair.
The eigenvalue and eigenfunction are substituted into the separated form and then summed to produce the general solution.
The lecturer explicitly says that if one has a linear equation and several solutions, one takes combinations.
The method of writing an infinite sum relies on the linearity/superposition property stated in the claim.
The board places the heat equation above the separated solution .
The separated product form is presented as a method for constructing solutions of the displayed heat equation.
The separated solution contains , and the adjacent board relation identifies with S''.
The spatial factor S in the product solution must satisfy the eigenvalue equation for the second-derivative operator.
The braced list pairs with .
The sine functions with eigenvalues -k^ are the specific eigenfunction-eigenvalue pairs displayed for this heat-equation problem.
The general solution sums B_ke^{-k^}, and the lecturer clarifies as .
The general solution is built by superposing the separated modes whose spatial parts are the sine eigenfunctions.
The board displays the heat equation at the beginning of the clip.
The lecturer contrasts Laplace's equation with the heat equation by saying time now comes in.
The board shows .
The lecturer says S is an eigenfunction because it depends on x.
The lecturer crosses out on both sides of the substituted equation.
The lecturer says he has an eigenvalue equation and begins to state the second derivative of the function.
The final simplified equation is not fully completed within the clip.
The lecturer asks what the eigenvalue is and then computes it from two derivatives.
The lecturer says the functions S will be sine functions and writes .
The lecturer explains that taking two derivatives makes kπ come out twice with a minus sign.
The lecturer says that for a linear equation one takes combinations of basic solutions and writes a sum from to infinity.
The lecturer introduces coefficients called in the series.
Top board line reads .
Covered · Introduction to the heat equation, its place among basic PDEs, and contrast with Laplace's equation.
Covered · Presentation of the separated solution ansatz and analogy with eigenvectors from ordinary systems.
Covered · Substitution of the separated form into the heat equation to obtain an equation involving λ, S, and derivatives of S.
Covered · Cancellation of the common exponential factor and identification of the remaining relation as an eigenvalue equation; the final simplified line is begun but not completed on screen.
Covered · The board shows the heat equation and the separated solution template while the lecturer introduces λ and S.
Covered · The lecturer writes , asks for the eigenvalue, and derives ²π².
Covered · The lecturer summarizes that a family of eigenfunctions and eigenvalues has been found and transitions toward the general solution.
Covered · The lecturer explains superposition for a linear equation and writes the series solution with coefficients .
Covered · Final spoken clarification that the eigenfunction should carry the index k; no new mathematical content beyond the series construction.
Covered · The board displays the heat equation, separated solutions, the general summation, and the sine/eigenvalue list; the lecturer identifies the family of eigenfunctions and eigenvalues and clarifies as sine k pi x.
Covered · The lecturer analyzes the time dependence , states that larger k decays faster, and identifies the term as the slowest-decaying displayed mode.
Covered · The lecturer gives the physical interpretation: a material bar with ends kept at temperature zero, heat flowing inside the bar and escaping through the frozen ends.
Covered · The lecturer checks that vanishes at and , connecting the sine eigenfunctions to the zero-temperature boundary condition; near the end the lower blackboard panel is pushed upward.
Covered · The entire clip presents one continuous worked setup: drawing the bar, stating the initial condition, recalling the general solution, and reducing it to the coefficient-matching equation.
Covered · Lecturer points to the prewritten general solution and explains that finding the coefficients is a Fourier sine series problem matching the initial value 1.
Covered · He writes the explicit solution on the lower right board.
Covered · He comments that although the answer is an infinite sum, its structure is manageable because it separates coefficients, rapidly decaying time factors, and x-dependent sine modes.
Covered · He sketches successive temperature profiles decreasing toward zero and states that the steady state is temperature zero.
Covered · Lecture segment: the board shows the heat-equation series solution, the sine eigenpair, the initial-condition matching equation, the positive-time formula, and the lecturer explains that Fourier series determines the coefficients.
Covered · End card with copyright and Creative Commons license text; no mathematical content.
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